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AdrienLSH
2023-11-23 16:43:30 +01:00
parent fd19180e1d
commit f29003c66a
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srcs/.venv/lib/python3.11/site-packages/django/db/__init__.py Normal file
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from django.core import signals
from django.db.utils import (
DEFAULT_DB_ALIAS,
DJANGO_VERSION_PICKLE_KEY,
ConnectionHandler,
ConnectionRouter,
DatabaseError,
DataError,
Error,
IntegrityError,
InterfaceError,
InternalError,
NotSupportedError,
OperationalError,
ProgrammingError,
)
from django.utils.connection import ConnectionProxy
__all__ = [
"connection",
"connections",
"router",
"DatabaseError",
"IntegrityError",
"InternalError",
"ProgrammingError",
"DataError",
"NotSupportedError",
"Error",
"InterfaceError",
"OperationalError",
"DEFAULT_DB_ALIAS",
"DJANGO_VERSION_PICKLE_KEY",
]
connections = ConnectionHandler()
router = ConnectionRouter()
# For backwards compatibility. Prefer connections['default'] instead.
connection = ConnectionProxy(connections, DEFAULT_DB_ALIAS)
# Register an event to reset saved queries when a Django request is started.
def reset_queries(**kwargs):
for conn in connections.all(initialized_only=True):
conn.queries_log.clear()
signals.request_started.connect(reset_queries)
# Register an event to reset transaction state and close connections past
# their lifetime.
def close_old_connections(**kwargs):
for conn in connections.all(initialized_only=True):
conn.close_if_unusable_or_obsolete()
signals.request_started.connect(close_old_connections)
signals.request_finished.connect(close_old_connections)

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srcs/.venv/lib/python3.11/site-packages/django/db/backends/__init__.py Normal file
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srcs/.venv/lib/python3.11/site-packages/django/db/backends/base/base.py Normal file
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import _thread
import copy
import datetime
import logging
import threading
import time
import warnings
from collections import deque
from contextlib import contextmanager
from django.db.backends.utils import debug_transaction
try:
import zoneinfo
except ImportError:
from backports import zoneinfo
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db import DEFAULT_DB_ALIAS, DatabaseError, NotSupportedError
from django.db.backends import utils
from django.db.backends.base.validation import BaseDatabaseValidation
from django.db.backends.signals import connection_created
from django.db.transaction import TransactionManagementError
from django.db.utils import DatabaseErrorWrapper
from django.utils.asyncio import async_unsafe
from django.utils.functional import cached_property
NO_DB_ALIAS = "__no_db__"
RAN_DB_VERSION_CHECK = set()
logger = logging.getLogger("django.db.backends.base")
# RemovedInDjango50Warning
def timezone_constructor(tzname):
if settings.USE_DEPRECATED_PYTZ:
import pytz
return pytz.timezone(tzname)
return zoneinfo.ZoneInfo(tzname)
class BaseDatabaseWrapper:
"""Represent a database connection."""
# Mapping of Field objects to their column types.
data_types = {}
# Mapping of Field objects to their SQL suffix such as AUTOINCREMENT.
data_types_suffix = {}
# Mapping of Field objects to their SQL for CHECK constraints.
data_type_check_constraints = {}
ops = None
vendor = "unknown"
display_name = "unknown"
SchemaEditorClass = None
# Classes instantiated in __init__().
client_class = None
creation_class = None
features_class = None
introspection_class = None
ops_class = None
validation_class = BaseDatabaseValidation
queries_limit = 9000
def __init__(self, settings_dict, alias=DEFAULT_DB_ALIAS):
# Connection related attributes.
# The underlying database connection.
self.connection = None
# `settings_dict` should be a dictionary containing keys such as
# NAME, USER, etc. It's called `settings_dict` instead of `settings`
# to disambiguate it from Django settings modules.
self.settings_dict = settings_dict
self.alias = alias
# Query logging in debug mode or when explicitly enabled.
self.queries_log = deque(maxlen=self.queries_limit)
self.force_debug_cursor = False
# Transaction related attributes.
# Tracks if the connection is in autocommit mode. Per PEP 249, by
# default, it isn't.
self.autocommit = False
# Tracks if the connection is in a transaction managed by 'atomic'.
self.in_atomic_block = False
# Increment to generate unique savepoint ids.
self.savepoint_state = 0
# List of savepoints created by 'atomic'.
self.savepoint_ids = []
# Stack of active 'atomic' blocks.
self.atomic_blocks = []
# Tracks if the outermost 'atomic' block should commit on exit,
# ie. if autocommit was active on entry.
self.commit_on_exit = True
# Tracks if the transaction should be rolled back to the next
# available savepoint because of an exception in an inner block.
self.needs_rollback = False
self.rollback_exc = None
# Connection termination related attributes.
self.close_at = None
self.closed_in_transaction = False
self.errors_occurred = False
self.health_check_enabled = False
self.health_check_done = False
# Thread-safety related attributes.
self._thread_sharing_lock = threading.Lock()
self._thread_sharing_count = 0
self._thread_ident = _thread.get_ident()
# A list of no-argument functions to run when the transaction commits.
# Each entry is an (sids, func, robust) tuple, where sids is a set of
# the active savepoint IDs when this function was registered and robust
# specifies whether it's allowed for the function to fail.
self.run_on_commit = []
# Should we run the on-commit hooks the next time set_autocommit(True)
# is called?
self.run_commit_hooks_on_set_autocommit_on = False
# A stack of wrappers to be invoked around execute()/executemany()
# calls. Each entry is a function taking five arguments: execute, sql,
# params, many, and context. It's the function's responsibility to
# call execute(sql, params, many, context).
self.execute_wrappers = []
self.client = self.client_class(self)
self.creation = self.creation_class(self)
self.features = self.features_class(self)
self.introspection = self.introspection_class(self)
self.ops = self.ops_class(self)
self.validation = self.validation_class(self)
def __repr__(self):
return (
f"<{self.__class__.__qualname__} "
f"vendor={self.vendor!r} alias={self.alias!r}>"
)
def ensure_timezone(self):
"""
Ensure the connection's timezone is set to `self.timezone_name` and
return whether it changed or not.
"""
return False
@cached_property
def timezone(self):
"""
Return a tzinfo of the database connection time zone.
This is only used when time zone support is enabled. When a datetime is
read from the database, it is always returned in this time zone.
When the database backend supports time zones, it doesn't matter which
time zone Django uses, as long as aware datetimes are used everywhere.
Other users connecting to the database can choose their own time zone.
When the database backend doesn't support time zones, the time zone
Django uses may be constrained by the requirements of other users of
the database.
"""
if not settings.USE_TZ:
return None
elif self.settings_dict["TIME_ZONE"] is None:
return datetime.timezone.utc
else:
return timezone_constructor(self.settings_dict["TIME_ZONE"])
@cached_property
def timezone_name(self):
"""
Name of the time zone of the database connection.
"""
if not settings.USE_TZ:
return settings.TIME_ZONE
elif self.settings_dict["TIME_ZONE"] is None:
return "UTC"
else:
return self.settings_dict["TIME_ZONE"]
@property
def queries_logged(self):
return self.force_debug_cursor or settings.DEBUG
@property
def queries(self):
if len(self.queries_log) == self.queries_log.maxlen:
warnings.warn(
"Limit for query logging exceeded, only the last {} queries "
"will be returned.".format(self.queries_log.maxlen)
)
return list(self.queries_log)
def get_database_version(self):
"""Return a tuple of the database's version."""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require a get_database_version() "
"method."
)
def check_database_version_supported(self):
"""
Raise an error if the database version isn't supported by this
version of Django.
"""
if (
self.features.minimum_database_version is not None
and self.get_database_version() < self.features.minimum_database_version
):
db_version = ".".join(map(str, self.get_database_version()))
min_db_version = ".".join(map(str, self.features.minimum_database_version))
raise NotSupportedError(
f"{self.display_name} {min_db_version} or later is required "
f"(found {db_version})."
)
# ##### Backend-specific methods for creating connections and cursors #####
def get_connection_params(self):
"""Return a dict of parameters suitable for get_new_connection."""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require a get_connection_params() "
"method"
)
def get_new_connection(self, conn_params):
"""Open a connection to the database."""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require a get_new_connection() "
"method"
)
def init_connection_state(self):
"""Initialize the database connection settings."""
global RAN_DB_VERSION_CHECK
if self.alias not in RAN_DB_VERSION_CHECK:
self.check_database_version_supported()
RAN_DB_VERSION_CHECK.add(self.alias)
def create_cursor(self, name=None):
"""Create a cursor. Assume that a connection is established."""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require a create_cursor() method"
)
# ##### Backend-specific methods for creating connections #####
@async_unsafe
def connect(self):
"""Connect to the database. Assume that the connection is closed."""
# Check for invalid configurations.
self.check_settings()
# In case the previous connection was closed while in an atomic block
self.in_atomic_block = False
self.savepoint_ids = []
self.atomic_blocks = []
self.needs_rollback = False
# Reset parameters defining when to close/health-check the connection.
self.health_check_enabled = self.settings_dict["CONN_HEALTH_CHECKS"]
max_age = self.settings_dict["CONN_MAX_AGE"]
self.close_at = None if max_age is None else time.monotonic() + max_age
self.closed_in_transaction = False
self.errors_occurred = False
# New connections are healthy.
self.health_check_done = True
# Establish the connection
conn_params = self.get_connection_params()
self.connection = self.get_new_connection(conn_params)
self.set_autocommit(self.settings_dict["AUTOCOMMIT"])
self.init_connection_state()
connection_created.send(sender=self.__class__, connection=self)
self.run_on_commit = []
def check_settings(self):
if self.settings_dict["TIME_ZONE"] is not None and not settings.USE_TZ:
raise ImproperlyConfigured(
"Connection '%s' cannot set TIME_ZONE because USE_TZ is False."
% self.alias
)
@async_unsafe
def ensure_connection(self):
"""Guarantee that a connection to the database is established."""
if self.connection is None:
with self.wrap_database_errors:
self.connect()
# ##### Backend-specific wrappers for PEP-249 connection methods #####
def _prepare_cursor(self, cursor):
"""
Validate the connection is usable and perform database cursor wrapping.
"""
self.validate_thread_sharing()
if self.queries_logged:
wrapped_cursor = self.make_debug_cursor(cursor)
else:
wrapped_cursor = self.make_cursor(cursor)
return wrapped_cursor
def _cursor(self, name=None):
self.close_if_health_check_failed()
self.ensure_connection()
with self.wrap_database_errors:
return self._prepare_cursor(self.create_cursor(name))
def _commit(self):
if self.connection is not None:
with debug_transaction(self, "COMMIT"), self.wrap_database_errors:
return self.connection.commit()
def _rollback(self):
if self.connection is not None:
with debug_transaction(self, "ROLLBACK"), self.wrap_database_errors:
return self.connection.rollback()
def _close(self):
if self.connection is not None:
with self.wrap_database_errors:
return self.connection.close()
# ##### Generic wrappers for PEP-249 connection methods #####
@async_unsafe
def cursor(self):
"""Create a cursor, opening a connection if necessary."""
return self._cursor()
@async_unsafe
def commit(self):
"""Commit a transaction and reset the dirty flag."""
self.validate_thread_sharing()
self.validate_no_atomic_block()
self._commit()
# A successful commit means that the database connection works.
self.errors_occurred = False
self.run_commit_hooks_on_set_autocommit_on = True
@async_unsafe
def rollback(self):
"""Roll back a transaction and reset the dirty flag."""
self.validate_thread_sharing()
self.validate_no_atomic_block()
self._rollback()
# A successful rollback means that the database connection works.
self.errors_occurred = False
self.needs_rollback = False
self.run_on_commit = []
@async_unsafe
def close(self):
"""Close the connection to the database."""
self.validate_thread_sharing()
self.run_on_commit = []
# Don't call validate_no_atomic_block() to avoid making it difficult
# to get rid of a connection in an invalid state. The next connect()
# will reset the transaction state anyway.
if self.closed_in_transaction or self.connection is None:
return
try:
self._close()
finally:
if self.in_atomic_block:
self.closed_in_transaction = True
self.needs_rollback = True
else:
self.connection = None
# ##### Backend-specific savepoint management methods #####
def _savepoint(self, sid):
with self.cursor() as cursor:
cursor.execute(self.ops.savepoint_create_sql(sid))
def _savepoint_rollback(self, sid):
with self.cursor() as cursor:
cursor.execute(self.ops.savepoint_rollback_sql(sid))
def _savepoint_commit(self, sid):
with self.cursor() as cursor:
cursor.execute(self.ops.savepoint_commit_sql(sid))
def _savepoint_allowed(self):
# Savepoints cannot be created outside a transaction
return self.features.uses_savepoints and not self.get_autocommit()
# ##### Generic savepoint management methods #####
@async_unsafe
def savepoint(self):
"""
Create a savepoint inside the current transaction. Return an
identifier for the savepoint that will be used for the subsequent
rollback or commit. Do nothing if savepoints are not supported.
"""
if not self._savepoint_allowed():
return
thread_ident = _thread.get_ident()
tid = str(thread_ident).replace("-", "")
self.savepoint_state += 1
sid = "s%s_x%d" % (tid, self.savepoint_state)
self.validate_thread_sharing()
self._savepoint(sid)
return sid
@async_unsafe
def savepoint_rollback(self, sid):
"""
Roll back to a savepoint. Do nothing if savepoints are not supported.
"""
if not self._savepoint_allowed():
return
self.validate_thread_sharing()
self._savepoint_rollback(sid)
# Remove any callbacks registered while this savepoint was active.
self.run_on_commit = [
(sids, func, robust)
for (sids, func, robust) in self.run_on_commit
if sid not in sids
]
@async_unsafe
def savepoint_commit(self, sid):
"""
Release a savepoint. Do nothing if savepoints are not supported.
"""
if not self._savepoint_allowed():
return
self.validate_thread_sharing()
self._savepoint_commit(sid)
@async_unsafe
def clean_savepoints(self):
"""
Reset the counter used to generate unique savepoint ids in this thread.
"""
self.savepoint_state = 0
# ##### Backend-specific transaction management methods #####
def _set_autocommit(self, autocommit):
"""
Backend-specific implementation to enable or disable autocommit.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require a _set_autocommit() method"
)
# ##### Generic transaction management methods #####
def get_autocommit(self):
"""Get the autocommit state."""
self.ensure_connection()
return self.autocommit
def set_autocommit(
self, autocommit, force_begin_transaction_with_broken_autocommit=False
):
"""
Enable or disable autocommit.
The usual way to start a transaction is to turn autocommit off.
SQLite does not properly start a transaction when disabling
autocommit. To avoid this buggy behavior and to actually enter a new
transaction, an explicit BEGIN is required. Using
force_begin_transaction_with_broken_autocommit=True will issue an
explicit BEGIN with SQLite. This option will be ignored for other
backends.
"""
self.validate_no_atomic_block()
self.close_if_health_check_failed()
self.ensure_connection()
start_transaction_under_autocommit = (
force_begin_transaction_with_broken_autocommit
and not autocommit
and hasattr(self, "_start_transaction_under_autocommit")
)
if start_transaction_under_autocommit:
self._start_transaction_under_autocommit()
elif autocommit:
self._set_autocommit(autocommit)
else:
with debug_transaction(self, "BEGIN"):
self._set_autocommit(autocommit)
self.autocommit = autocommit
if autocommit and self.run_commit_hooks_on_set_autocommit_on:
self.run_and_clear_commit_hooks()
self.run_commit_hooks_on_set_autocommit_on = False
def get_rollback(self):
"""Get the "needs rollback" flag -- for *advanced use* only."""
if not self.in_atomic_block:
raise TransactionManagementError(
"The rollback flag doesn't work outside of an 'atomic' block."
)
return self.needs_rollback
def set_rollback(self, rollback):
"""
Set or unset the "needs rollback" flag -- for *advanced use* only.
"""
if not self.in_atomic_block:
raise TransactionManagementError(
"The rollback flag doesn't work outside of an 'atomic' block."
)
self.needs_rollback = rollback
def validate_no_atomic_block(self):
"""Raise an error if an atomic block is active."""
if self.in_atomic_block:
raise TransactionManagementError(
"This is forbidden when an 'atomic' block is active."
)
def validate_no_broken_transaction(self):
if self.needs_rollback:
raise TransactionManagementError(
"An error occurred in the current transaction. You can't "
"execute queries until the end of the 'atomic' block."
) from self.rollback_exc
# ##### Foreign key constraints checks handling #####
@contextmanager
def constraint_checks_disabled(self):
"""
Disable foreign key constraint checking.
"""
disabled = self.disable_constraint_checking()
try:
yield
finally:
if disabled:
self.enable_constraint_checking()
def disable_constraint_checking(self):
"""
Backends can implement as needed to temporarily disable foreign key
constraint checking. Should return True if the constraints were
disabled and will need to be reenabled.
"""
return False
def enable_constraint_checking(self):
"""
Backends can implement as needed to re-enable foreign key constraint
checking.
"""
pass
def check_constraints(self, table_names=None):
"""
Backends can override this method if they can apply constraint
checking (e.g. via "SET CONSTRAINTS ALL IMMEDIATE"). Should raise an
IntegrityError if any invalid foreign key references are encountered.
"""
pass
# ##### Connection termination handling #####
def is_usable(self):
"""
Test if the database connection is usable.
This method may assume that self.connection is not None.
Actual implementations should take care not to raise exceptions
as that may prevent Django from recycling unusable connections.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseWrapper may require an is_usable() method"
)
def close_if_health_check_failed(self):
"""Close existing connection if it fails a health check."""
if (
self.connection is None
or not self.health_check_enabled
or self.health_check_done
):
return
if not self.is_usable():
self.close()
self.health_check_done = True
def close_if_unusable_or_obsolete(self):
"""
Close the current connection if unrecoverable errors have occurred
or if it outlived its maximum age.
"""
if self.connection is not None:
self.health_check_done = False
# If the application didn't restore the original autocommit setting,
# don't take chances, drop the connection.
if self.get_autocommit() != self.settings_dict["AUTOCOMMIT"]:
self.close()
return
# If an exception other than DataError or IntegrityError occurred
# since the last commit / rollback, check if the connection works.
if self.errors_occurred:
if self.is_usable():
self.errors_occurred = False
self.health_check_done = True
else:
self.close()
return
if self.close_at is not None and time.monotonic() >= self.close_at:
self.close()
return
# ##### Thread safety handling #####
@property
def allow_thread_sharing(self):
with self._thread_sharing_lock:
return self._thread_sharing_count > 0
def inc_thread_sharing(self):
with self._thread_sharing_lock:
self._thread_sharing_count += 1
def dec_thread_sharing(self):
with self._thread_sharing_lock:
if self._thread_sharing_count <= 0:
raise RuntimeError(
"Cannot decrement the thread sharing count below zero."
)
self._thread_sharing_count -= 1
def validate_thread_sharing(self):
"""
Validate that the connection isn't accessed by another thread than the
one which originally created it, unless the connection was explicitly
authorized to be shared between threads (via the `inc_thread_sharing()`
method). Raise an exception if the validation fails.
"""
if not (self.allow_thread_sharing or self._thread_ident == _thread.get_ident()):
raise DatabaseError(
"DatabaseWrapper objects created in a "
"thread can only be used in that same thread. The object "
"with alias '%s' was created in thread id %s and this is "
"thread id %s." % (self.alias, self._thread_ident, _thread.get_ident())
)
# ##### Miscellaneous #####
def prepare_database(self):
"""
Hook to do any database check or preparation, generally called before
migrating a project or an app.
"""
pass
@cached_property
def wrap_database_errors(self):
"""
Context manager and decorator that re-throws backend-specific database
exceptions using Django's common wrappers.
"""
return DatabaseErrorWrapper(self)
def chunked_cursor(self):
"""
Return a cursor that tries to avoid caching in the database (if
supported by the database), otherwise return a regular cursor.
"""
return self.cursor()
def make_debug_cursor(self, cursor):
"""Create a cursor that logs all queries in self.queries_log."""
return utils.CursorDebugWrapper(cursor, self)
def make_cursor(self, cursor):
"""Create a cursor without debug logging."""
return utils.CursorWrapper(cursor, self)
@contextmanager
def temporary_connection(self):
"""
Context manager that ensures that a connection is established, and
if it opened one, closes it to avoid leaving a dangling connection.
This is useful for operations outside of the request-response cycle.
Provide a cursor: with self.temporary_connection() as cursor: ...
"""
must_close = self.connection is None
try:
with self.cursor() as cursor:
yield cursor
finally:
if must_close:
self.close()
@contextmanager
def _nodb_cursor(self):
"""
Return a cursor from an alternative connection to be used when there is
no need to access the main database, specifically for test db
creation/deletion. This also prevents the production database from
being exposed to potential child threads while (or after) the test
database is destroyed. Refs #10868, #17786, #16969.
"""
conn = self.__class__({**self.settings_dict, "NAME": None}, alias=NO_DB_ALIAS)
try:
with conn.cursor() as cursor:
yield cursor
finally:
conn.close()
def schema_editor(self, *args, **kwargs):
"""
Return a new instance of this backend's SchemaEditor.
"""
if self.SchemaEditorClass is None:
raise NotImplementedError(
"The SchemaEditorClass attribute of this database wrapper is still None"
)
return self.SchemaEditorClass(self, *args, **kwargs)
def on_commit(self, func, robust=False):
if not callable(func):
raise TypeError("on_commit()'s callback must be a callable.")
if self.in_atomic_block:
# Transaction in progress; save for execution on commit.
self.run_on_commit.append((set(self.savepoint_ids), func, robust))
elif not self.get_autocommit():
raise TransactionManagementError(
"on_commit() cannot be used in manual transaction management"
)
else:
# No transaction in progress and in autocommit mode; execute
# immediately.
if robust:
try:
func()
except Exception as e:
logger.error(
f"Error calling {func.__qualname__} in on_commit() (%s).",
e,
exc_info=True,
)
else:
func()
def run_and_clear_commit_hooks(self):
self.validate_no_atomic_block()
current_run_on_commit = self.run_on_commit
self.run_on_commit = []
while current_run_on_commit:
_, func, robust = current_run_on_commit.pop(0)
if robust:
try:
func()
except Exception as e:
logger.error(
f"Error calling {func.__qualname__} in on_commit() during "
f"transaction (%s).",
e,
exc_info=True,
)
else:
func()
@contextmanager
def execute_wrapper(self, wrapper):
"""
Return a context manager under which the wrapper is applied to suitable
database query executions.
"""
self.execute_wrappers.append(wrapper)
try:
yield
finally:
self.execute_wrappers.pop()
def copy(self, alias=None):
"""
Return a copy of this connection.
For tests that require two connections to the same database.
"""
settings_dict = copy.deepcopy(self.settings_dict)
if alias is None:
alias = self.alias
return type(self)(settings_dict, alias)

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import os
import subprocess
class BaseDatabaseClient:
"""Encapsulate backend-specific methods for opening a client shell."""
# This should be a string representing the name of the executable
# (e.g., "psql"). Subclasses must override this.
executable_name = None
def __init__(self, connection):
# connection is an instance of BaseDatabaseWrapper.
self.connection = connection
@classmethod
def settings_to_cmd_args_env(cls, settings_dict, parameters):
raise NotImplementedError(
"subclasses of BaseDatabaseClient must provide a "
"settings_to_cmd_args_env() method or override a runshell()."
)
def runshell(self, parameters):
args, env = self.settings_to_cmd_args_env(
self.connection.settings_dict, parameters
)
env = {**os.environ, **env} if env else None
subprocess.run(args, env=env, check=True)

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import os
import sys
from io import StringIO
from django.apps import apps
from django.conf import settings
from django.core import serializers
from django.db import router
from django.db.transaction import atomic
from django.utils.module_loading import import_string
# The prefix to put on the default database name when creating
# the test database.
TEST_DATABASE_PREFIX = "test_"
class BaseDatabaseCreation:
"""
Encapsulate backend-specific differences pertaining to creation and
destruction of the test database.
"""
def __init__(self, connection):
self.connection = connection
def _nodb_cursor(self):
return self.connection._nodb_cursor()
def log(self, msg):
sys.stderr.write(msg + os.linesep)
def create_test_db(
self, verbosity=1, autoclobber=False, serialize=True, keepdb=False
):
"""
Create a test database, prompting the user for confirmation if the
database already exists. Return the name of the test database created.
"""
# Don't import django.core.management if it isn't needed.
from django.core.management import call_command
test_database_name = self._get_test_db_name()
if verbosity >= 1:
action = "Creating"
if keepdb:
action = "Using existing"
self.log(
"%s test database for alias %s..."
% (
action,
self._get_database_display_str(verbosity, test_database_name),
)
)
# We could skip this call if keepdb is True, but we instead
# give it the keepdb param. This is to handle the case
# where the test DB doesn't exist, in which case we need to
# create it, then just not destroy it. If we instead skip
# this, we will get an exception.
self._create_test_db(verbosity, autoclobber, keepdb)
self.connection.close()
settings.DATABASES[self.connection.alias]["NAME"] = test_database_name
self.connection.settings_dict["NAME"] = test_database_name
try:
if self.connection.settings_dict["TEST"]["MIGRATE"] is False:
# Disable migrations for all apps.
old_migration_modules = settings.MIGRATION_MODULES
settings.MIGRATION_MODULES = {
app.label: None for app in apps.get_app_configs()
}
# We report migrate messages at one level lower than that
# requested. This ensures we don't get flooded with messages during
# testing (unless you really ask to be flooded).
call_command(
"migrate",
verbosity=max(verbosity - 1, 0),
interactive=False,
database=self.connection.alias,
run_syncdb=True,
)
finally:
if self.connection.settings_dict["TEST"]["MIGRATE"] is False:
settings.MIGRATION_MODULES = old_migration_modules
# We then serialize the current state of the database into a string
# and store it on the connection. This slightly horrific process is so people
# who are testing on databases without transactions or who are using
# a TransactionTestCase still get a clean database on every test run.
if serialize:
self.connection._test_serialized_contents = self.serialize_db_to_string()
call_command("createcachetable", database=self.connection.alias)
# Ensure a connection for the side effect of initializing the test database.
self.connection.ensure_connection()
if os.environ.get("RUNNING_DJANGOS_TEST_SUITE") == "true":
self.mark_expected_failures_and_skips()
return test_database_name
def set_as_test_mirror(self, primary_settings_dict):
"""
Set this database up to be used in testing as a mirror of a primary
database whose settings are given.
"""
self.connection.settings_dict["NAME"] = primary_settings_dict["NAME"]
def serialize_db_to_string(self):
"""
Serialize all data in the database into a JSON string.
Designed only for test runner usage; will not handle large
amounts of data.
"""
# Iteratively return every object for all models to serialize.
def get_objects():
from django.db.migrations.loader import MigrationLoader
loader = MigrationLoader(self.connection)
for app_config in apps.get_app_configs():
if (
app_config.models_module is not None
and app_config.label in loader.migrated_apps
and app_config.name not in settings.TEST_NON_SERIALIZED_APPS
):
for model in app_config.get_models():
if model._meta.can_migrate(
self.connection
) and router.allow_migrate_model(self.connection.alias, model):
queryset = model._base_manager.using(
self.connection.alias,
).order_by(model._meta.pk.name)
yield from queryset.iterator()
# Serialize to a string
out = StringIO()
serializers.serialize("json", get_objects(), indent=None, stream=out)
return out.getvalue()
def deserialize_db_from_string(self, data):
"""
Reload the database with data from a string generated by
the serialize_db_to_string() method.
"""
data = StringIO(data)
table_names = set()
# Load data in a transaction to handle forward references and cycles.
with atomic(using=self.connection.alias):
# Disable constraint checks, because some databases (MySQL) doesn't
# support deferred checks.
with self.connection.constraint_checks_disabled():
for obj in serializers.deserialize(
"json", data, using=self.connection.alias
):
obj.save()
table_names.add(obj.object.__class__._meta.db_table)
# Manually check for any invalid keys that might have been added,
# because constraint checks were disabled.
self.connection.check_constraints(table_names=table_names)
def _get_database_display_str(self, verbosity, database_name):
"""
Return display string for a database for use in various actions.
"""
return "'%s'%s" % (
self.connection.alias,
(" ('%s')" % database_name) if verbosity >= 2 else "",
)
def _get_test_db_name(self):
"""
Internal implementation - return the name of the test DB that will be
created. Only useful when called from create_test_db() and
_create_test_db() and when no external munging is done with the 'NAME'
settings.
"""
if self.connection.settings_dict["TEST"]["NAME"]:
return self.connection.settings_dict["TEST"]["NAME"]
return TEST_DATABASE_PREFIX + self.connection.settings_dict["NAME"]
def _execute_create_test_db(self, cursor, parameters, keepdb=False):
cursor.execute("CREATE DATABASE %(dbname)s %(suffix)s" % parameters)
def _create_test_db(self, verbosity, autoclobber, keepdb=False):
"""
Internal implementation - create the test db tables.
"""
test_database_name = self._get_test_db_name()
test_db_params = {
"dbname": self.connection.ops.quote_name(test_database_name),
"suffix": self.sql_table_creation_suffix(),
}
# Create the test database and connect to it.
with self._nodb_cursor() as cursor:
try:
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception as e:
# if we want to keep the db, then no need to do any of the below,
# just return and skip it all.
if keepdb:
return test_database_name
self.log("Got an error creating the test database: %s" % e)
if not autoclobber:
confirm = input(
"Type 'yes' if you would like to try deleting the test "
"database '%s', or 'no' to cancel: " % test_database_name
)
if autoclobber or confirm == "yes":
try:
if verbosity >= 1:
self.log(
"Destroying old test database for alias %s..."
% (
self._get_database_display_str(
verbosity, test_database_name
),
)
)
cursor.execute("DROP DATABASE %(dbname)s" % test_db_params)
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception as e:
self.log("Got an error recreating the test database: %s" % e)
sys.exit(2)
else:
self.log("Tests cancelled.")
sys.exit(1)
return test_database_name
def clone_test_db(self, suffix, verbosity=1, autoclobber=False, keepdb=False):
"""
Clone a test database.
"""
source_database_name = self.connection.settings_dict["NAME"]
if verbosity >= 1:
action = "Cloning test database"
if keepdb:
action = "Using existing clone"
self.log(
"%s for alias %s..."
% (
action,
self._get_database_display_str(verbosity, source_database_name),
)
)
# We could skip this call if keepdb is True, but we instead
# give it the keepdb param. See create_test_db for details.
self._clone_test_db(suffix, verbosity, keepdb)
def get_test_db_clone_settings(self, suffix):
"""
Return a modified connection settings dict for the n-th clone of a DB.
"""
# When this function is called, the test database has been created
# already and its name has been copied to settings_dict['NAME'] so
# we don't need to call _get_test_db_name.
orig_settings_dict = self.connection.settings_dict
return {
**orig_settings_dict,
"NAME": "{}_{}".format(orig_settings_dict["NAME"], suffix),
}
def _clone_test_db(self, suffix, verbosity, keepdb=False):
"""
Internal implementation - duplicate the test db tables.
"""
raise NotImplementedError(
"The database backend doesn't support cloning databases. "
"Disable the option to run tests in parallel processes."
)
def destroy_test_db(
self, old_database_name=None, verbosity=1, keepdb=False, suffix=None
):
"""
Destroy a test database, prompting the user for confirmation if the
database already exists.
"""
self.connection.close()
if suffix is None:
test_database_name = self.connection.settings_dict["NAME"]
else:
test_database_name = self.get_test_db_clone_settings(suffix)["NAME"]
if verbosity >= 1:
action = "Destroying"
if keepdb:
action = "Preserving"
self.log(
"%s test database for alias %s..."
% (
action,
self._get_database_display_str(verbosity, test_database_name),
)
)
# if we want to preserve the database
# skip the actual destroying piece.
if not keepdb:
self._destroy_test_db(test_database_name, verbosity)
# Restore the original database name
if old_database_name is not None:
settings.DATABASES[self.connection.alias]["NAME"] = old_database_name
self.connection.settings_dict["NAME"] = old_database_name
def _destroy_test_db(self, test_database_name, verbosity):
"""
Internal implementation - remove the test db tables.
"""
# Remove the test database to clean up after
# ourselves. Connect to the previous database (not the test database)
# to do so, because it's not allowed to delete a database while being
# connected to it.
with self._nodb_cursor() as cursor:
cursor.execute(
"DROP DATABASE %s" % self.connection.ops.quote_name(test_database_name)
)
def mark_expected_failures_and_skips(self):
"""
Mark tests in Django's test suite which are expected failures on this
database and test which should be skipped on this database.
"""
# Only load unittest if we're actually testing.
from unittest import expectedFailure, skip
for test_name in self.connection.features.django_test_expected_failures:
test_case_name, _, test_method_name = test_name.rpartition(".")
test_app = test_name.split(".")[0]
# Importing a test app that isn't installed raises RuntimeError.
if test_app in settings.INSTALLED_APPS:
test_case = import_string(test_case_name)
test_method = getattr(test_case, test_method_name)
setattr(test_case, test_method_name, expectedFailure(test_method))
for reason, tests in self.connection.features.django_test_skips.items():
for test_name in tests:
test_case_name, _, test_method_name = test_name.rpartition(".")
test_app = test_name.split(".")[0]
# Importing a test app that isn't installed raises RuntimeError.
if test_app in settings.INSTALLED_APPS:
test_case = import_string(test_case_name)
test_method = getattr(test_case, test_method_name)
setattr(test_case, test_method_name, skip(reason)(test_method))
def sql_table_creation_suffix(self):
"""
SQL to append to the end of the test table creation statements.
"""
return ""
def test_db_signature(self):
"""
Return a tuple with elements of self.connection.settings_dict (a
DATABASES setting value) that uniquely identify a database
accordingly to the RDBMS particularities.
"""
settings_dict = self.connection.settings_dict
return (
settings_dict["HOST"],
settings_dict["PORT"],
settings_dict["ENGINE"],
self._get_test_db_name(),
)
def setup_worker_connection(self, _worker_id):
settings_dict = self.get_test_db_clone_settings(str(_worker_id))
# connection.settings_dict must be updated in place for changes to be
# reflected in django.db.connections. If the following line assigned
# connection.settings_dict = settings_dict, new threads would connect
# to the default database instead of the appropriate clone.
self.connection.settings_dict.update(settings_dict)
self.connection.close()

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from django.db import ProgrammingError
from django.utils.functional import cached_property
class BaseDatabaseFeatures:
# An optional tuple indicating the minimum supported database version.
minimum_database_version = None
gis_enabled = False
# Oracle can't group by LOB (large object) data types.
allows_group_by_lob = True
allows_group_by_selected_pks = False
allows_group_by_select_index = True
empty_fetchmany_value = []
update_can_self_select = True
# Does the backend distinguish between '' and None?
interprets_empty_strings_as_nulls = False
# Does the backend allow inserting duplicate NULL rows in a nullable
# unique field? All core backends implement this correctly, but other
# databases such as SQL Server do not.
supports_nullable_unique_constraints = True
# Does the backend allow inserting duplicate rows when a unique_together
# constraint exists and some fields are nullable but not all of them?
supports_partially_nullable_unique_constraints = True
# Does the backend support initially deferrable unique constraints?
supports_deferrable_unique_constraints = False
can_use_chunked_reads = True
can_return_columns_from_insert = False
can_return_rows_from_bulk_insert = False
has_bulk_insert = True
uses_savepoints = True
can_release_savepoints = False
# If True, don't use integer foreign keys referring to, e.g., positive
# integer primary keys.
related_fields_match_type = False
allow_sliced_subqueries_with_in = True
has_select_for_update = False
has_select_for_update_nowait = False
has_select_for_update_skip_locked = False
has_select_for_update_of = False
has_select_for_no_key_update = False
# Does the database's SELECT FOR UPDATE OF syntax require a column rather
# than a table?
select_for_update_of_column = False
# Does the default test database allow multiple connections?
# Usually an indication that the test database is in-memory
test_db_allows_multiple_connections = True
# Can an object be saved without an explicit primary key?
supports_unspecified_pk = False
# Can a fixture contain forward references? i.e., are
# FK constraints checked at the end of transaction, or
# at the end of each save operation?
supports_forward_references = True
# Does the backend truncate names properly when they are too long?
truncates_names = False
# Is there a REAL datatype in addition to floats/doubles?
has_real_datatype = False
supports_subqueries_in_group_by = True
# Does the backend ignore unnecessary ORDER BY clauses in subqueries?
ignores_unnecessary_order_by_in_subqueries = True
# Is there a true datatype for uuid?
has_native_uuid_field = False
# Is there a true datatype for timedeltas?
has_native_duration_field = False
# Does the database driver supports same type temporal data subtraction
# by returning the type used to store duration field?
supports_temporal_subtraction = False
# Does the __regex lookup support backreferencing and grouping?
supports_regex_backreferencing = True
# Can date/datetime lookups be performed using a string?
supports_date_lookup_using_string = True
# Can datetimes with timezones be used?
supports_timezones = True
# Does the database have a copy of the zoneinfo database?
has_zoneinfo_database = True
# When performing a GROUP BY, is an ORDER BY NULL required
# to remove any ordering?
requires_explicit_null_ordering_when_grouping = False
# Does the backend order NULL values as largest or smallest?
nulls_order_largest = False
# Does the backend support NULLS FIRST and NULLS LAST in ORDER BY?
supports_order_by_nulls_modifier = True
# Does the backend orders NULLS FIRST by default?
order_by_nulls_first = False
# The database's limit on the number of query parameters.
max_query_params = None
# Can an object have an autoincrement primary key of 0?
allows_auto_pk_0 = True
# Do we need to NULL a ForeignKey out, or can the constraint check be
# deferred
can_defer_constraint_checks = False
# Does the backend support tablespaces? Default to False because it isn't
# in the SQL standard.
supports_tablespaces = False
# Does the backend reset sequences between tests?
supports_sequence_reset = True
# Can the backend introspect the default value of a column?
can_introspect_default = True
# Confirm support for introspected foreign keys
# Every database can do this reliably, except MySQL,
# which can't do it for MyISAM tables
can_introspect_foreign_keys = True
# Map fields which some backends may not be able to differentiate to the
# field it's introspected as.
introspected_field_types = {
"AutoField": "AutoField",
"BigAutoField": "BigAutoField",
"BigIntegerField": "BigIntegerField",
"BinaryField": "BinaryField",
"BooleanField": "BooleanField",
"CharField": "CharField",
"DurationField": "DurationField",
"GenericIPAddressField": "GenericIPAddressField",
"IntegerField": "IntegerField",
"PositiveBigIntegerField": "PositiveBigIntegerField",
"PositiveIntegerField": "PositiveIntegerField",
"PositiveSmallIntegerField": "PositiveSmallIntegerField",
"SmallAutoField": "SmallAutoField",
"SmallIntegerField": "SmallIntegerField",
"TimeField": "TimeField",
}
# Can the backend introspect the column order (ASC/DESC) for indexes?
supports_index_column_ordering = True
# Does the backend support introspection of materialized views?
can_introspect_materialized_views = False
# Support for the DISTINCT ON clause
can_distinct_on_fields = False
# Does the backend prevent running SQL queries in broken transactions?
atomic_transactions = True
# Can we roll back DDL in a transaction?
can_rollback_ddl = False
schema_editor_uses_clientside_param_binding = False
# Does it support operations requiring references rename in a transaction?
supports_atomic_references_rename = True
# Can we issue more than one ALTER COLUMN clause in an ALTER TABLE?
supports_combined_alters = False
# Does it support foreign keys?
supports_foreign_keys = True
# Can it create foreign key constraints inline when adding columns?
can_create_inline_fk = True
# Can an index be renamed?
can_rename_index = False
# Does it automatically index foreign keys?
indexes_foreign_keys = True
# Does it support CHECK constraints?
supports_column_check_constraints = True
supports_table_check_constraints = True
# Does the backend support introspection of CHECK constraints?
can_introspect_check_constraints = True
# Does the backend support 'pyformat' style ("... %(name)s ...", {'name': value})
# parameter passing? Note this can be provided by the backend even if not
# supported by the Python driver
supports_paramstyle_pyformat = True
# Does the backend require literal defaults, rather than parameterized ones?
requires_literal_defaults = False
# Does the backend require a connection reset after each material schema change?
connection_persists_old_columns = False
# What kind of error does the backend throw when accessing closed cursor?
closed_cursor_error_class = ProgrammingError
# Does 'a' LIKE 'A' match?
has_case_insensitive_like = False
# Suffix for backends that don't support "SELECT xxx;" queries.
bare_select_suffix = ""
# If NULL is implied on columns without needing to be explicitly specified
implied_column_null = False
# Does the backend support "select for update" queries with limit (and offset)?
supports_select_for_update_with_limit = True
# Does the backend ignore null expressions in GREATEST and LEAST queries unless
# every expression is null?
greatest_least_ignores_nulls = False
# Can the backend clone databases for parallel test execution?
# Defaults to False to allow third-party backends to opt-in.
can_clone_databases = False
# Does the backend consider table names with different casing to
# be equal?
ignores_table_name_case = False
# Place FOR UPDATE right after FROM clause. Used on MSSQL.
for_update_after_from = False
# Combinatorial flags
supports_select_union = True
supports_select_intersection = True
supports_select_difference = True
supports_slicing_ordering_in_compound = False
supports_parentheses_in_compound = True
requires_compound_order_by_subquery = False
# Does the database support SQL 2003 FILTER (WHERE ...) in aggregate
# expressions?
supports_aggregate_filter_clause = False
# Does the backend support indexing a TextField?
supports_index_on_text_field = True
# Does the backend support window expressions (expression OVER (...))?
supports_over_clause = False
supports_frame_range_fixed_distance = False
only_supports_unbounded_with_preceding_and_following = False
# Does the backend support CAST with precision?
supports_cast_with_precision = True
# How many second decimals does the database return when casting a value to
# a type with time?
time_cast_precision = 6
# SQL to create a procedure for use by the Django test suite. The
# functionality of the procedure isn't important.
create_test_procedure_without_params_sql = None
create_test_procedure_with_int_param_sql = None
# SQL to create a table with a composite primary key for use by the Django
# test suite.
create_test_table_with_composite_primary_key = None
# Does the backend support keyword parameters for cursor.callproc()?
supports_callproc_kwargs = False
# What formats does the backend EXPLAIN syntax support?
supported_explain_formats = set()
# Does the backend support the default parameter in lead() and lag()?
supports_default_in_lead_lag = True
# Does the backend support ignoring constraint or uniqueness errors during
# INSERT?
supports_ignore_conflicts = True
# Does the backend support updating rows on constraint or uniqueness errors
# during INSERT?
supports_update_conflicts = False
supports_update_conflicts_with_target = False
# Does this backend require casting the results of CASE expressions used
# in UPDATE statements to ensure the expression has the correct type?
requires_casted_case_in_updates = False
# Does the backend support partial indexes (CREATE INDEX ... WHERE ...)?
supports_partial_indexes = True
supports_functions_in_partial_indexes = True
# Does the backend support covering indexes (CREATE INDEX ... INCLUDE ...)?
supports_covering_indexes = False
# Does the backend support indexes on expressions?
supports_expression_indexes = True
# Does the backend treat COLLATE as an indexed expression?
collate_as_index_expression = False
# Does the database allow more than one constraint or index on the same
# field(s)?
allows_multiple_constraints_on_same_fields = True
# Does the backend support boolean expressions in SELECT and GROUP BY
# clauses?
supports_boolean_expr_in_select_clause = True
# Does the backend support comparing boolean expressions in WHERE clauses?
# Eg: WHERE (price > 0) IS NOT NULL
supports_comparing_boolean_expr = True
# Does the backend support JSONField?
supports_json_field = True
# Can the backend introspect a JSONField?
can_introspect_json_field = True
# Does the backend support primitives in JSONField?
supports_primitives_in_json_field = True
# Is there a true datatype for JSON?
has_native_json_field = False
# Does the backend use PostgreSQL-style JSON operators like '->'?
has_json_operators = False
# Does the backend support __contains and __contained_by lookups for
# a JSONField?
supports_json_field_contains = True
# Does value__d__contains={'f': 'g'} (without a list around the dict) match
# {'d': [{'f': 'g'}]}?
json_key_contains_list_matching_requires_list = False
# Does the backend support JSONObject() database function?
has_json_object_function = True
# Does the backend support column collations?
supports_collation_on_charfield = True
supports_collation_on_textfield = True
# Does the backend support non-deterministic collations?
supports_non_deterministic_collations = True
# Does the backend support column and table comments?
supports_comments = False
# Does the backend support column comments in ADD COLUMN statements?
supports_comments_inline = False
# Does the backend support the logical XOR operator?
supports_logical_xor = False
# Set to (exception, message) if null characters in text are disallowed.
prohibits_null_characters_in_text_exception = None
# Does the backend support unlimited character columns?
supports_unlimited_charfield = False
# Collation names for use by the Django test suite.
test_collations = {
"ci": None, # Case-insensitive.
"cs": None, # Case-sensitive.
"non_default": None, # Non-default.
"swedish_ci": None, # Swedish case-insensitive.
}
# SQL template override for tests.aggregation.tests.NowUTC
test_now_utc_template = None
# A set of dotted paths to tests in Django's test suite that are expected
# to fail on this database.
django_test_expected_failures = set()
# A map of reasons to sets of dotted paths to tests in Django's test suite
# that should be skipped for this database.
django_test_skips = {}
def __init__(self, connection):
self.connection = connection
@cached_property
def supports_explaining_query_execution(self):
"""Does this backend support explaining query execution?"""
return self.connection.ops.explain_prefix is not None
@cached_property
def supports_transactions(self):
"""Confirm support for transactions."""
with self.connection.cursor() as cursor:
cursor.execute("CREATE TABLE ROLLBACK_TEST (X INT)")
self.connection.set_autocommit(False)
cursor.execute("INSERT INTO ROLLBACK_TEST (X) VALUES (8)")
self.connection.rollback()
self.connection.set_autocommit(True)
cursor.execute("SELECT COUNT(X) FROM ROLLBACK_TEST")
(count,) = cursor.fetchone()
cursor.execute("DROP TABLE ROLLBACK_TEST")
return count == 0
def allows_group_by_selected_pks_on_model(self, model):
if not self.allows_group_by_selected_pks:
return False
return model._meta.managed

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from collections import namedtuple
# Structure returned by DatabaseIntrospection.get_table_list()
TableInfo = namedtuple("TableInfo", ["name", "type"])
# Structure returned by the DB-API cursor.description interface (PEP 249)
FieldInfo = namedtuple(
"FieldInfo",
"name type_code display_size internal_size precision scale null_ok "
"default collation",
)
class BaseDatabaseIntrospection:
"""Encapsulate backend-specific introspection utilities."""
data_types_reverse = {}
def __init__(self, connection):
self.connection = connection
def get_field_type(self, data_type, description):
"""
Hook for a database backend to use the cursor description to
match a Django field type to a database column.
For Oracle, the column data_type on its own is insufficient to
distinguish between a FloatField and IntegerField, for example.
"""
return self.data_types_reverse[data_type]
def identifier_converter(self, name):
"""
Apply a conversion to the identifier for the purposes of comparison.
The default identifier converter is for case sensitive comparison.
"""
return name
def table_names(self, cursor=None, include_views=False):
"""
Return a list of names of all tables that exist in the database.
Sort the returned table list by Python's default sorting. Do NOT use
the database's ORDER BY here to avoid subtle differences in sorting
order between databases.
"""
def get_names(cursor):
return sorted(
ti.name
for ti in self.get_table_list(cursor)
if include_views or ti.type == "t"
)
if cursor is None:
with self.connection.cursor() as cursor:
return get_names(cursor)
return get_names(cursor)
def get_table_list(self, cursor):
"""
Return an unsorted list of TableInfo named tuples of all tables and
views that exist in the database.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseIntrospection may require a get_table_list() "
"method"
)
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseIntrospection may require a "
"get_table_description() method."
)
def get_migratable_models(self):
from django.apps import apps
from django.db import router
return (
model
for app_config in apps.get_app_configs()
for model in router.get_migratable_models(app_config, self.connection.alias)
if model._meta.can_migrate(self.connection)
)
def django_table_names(self, only_existing=False, include_views=True):
"""
Return a list of all table names that have associated Django models and
are in INSTALLED_APPS.
If only_existing is True, include only the tables in the database.
"""
tables = set()
for model in self.get_migratable_models():
if not model._meta.managed:
continue
tables.add(model._meta.db_table)
tables.update(
f.m2m_db_table()
for f in model._meta.local_many_to_many
if f.remote_field.through._meta.managed
)
tables = list(tables)
if only_existing:
existing_tables = set(self.table_names(include_views=include_views))
tables = [
t for t in tables if self.identifier_converter(t) in existing_tables
]
return tables
def installed_models(self, tables):
"""
Return a set of all models represented by the provided list of table
names.
"""
tables = set(map(self.identifier_converter, tables))
return {
m
for m in self.get_migratable_models()
if self.identifier_converter(m._meta.db_table) in tables
}
def sequence_list(self):
"""
Return a list of information about all DB sequences for all models in
all apps.
"""
sequence_list = []
with self.connection.cursor() as cursor:
for model in self.get_migratable_models():
if not model._meta.managed:
continue
if model._meta.swapped:
continue
sequence_list.extend(
self.get_sequences(
cursor, model._meta.db_table, model._meta.local_fields
)
)
for f in model._meta.local_many_to_many:
# If this is an m2m using an intermediate table,
# we don't need to reset the sequence.
if f.remote_field.through._meta.auto_created:
sequence = self.get_sequences(cursor, f.m2m_db_table())
sequence_list.extend(
sequence or [{"table": f.m2m_db_table(), "column": None}]
)
return sequence_list
def get_sequences(self, cursor, table_name, table_fields=()):
"""
Return a list of introspected sequences for table_name. Each sequence
is a dict: {'table': <table_name>, 'column': <column_name>}. An optional
'name' key can be added if the backend supports named sequences.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseIntrospection may require a get_sequences() "
"method"
)
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {field_name: (field_name_other_table, other_table)}
representing all foreign keys in the given table.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseIntrospection may require a "
"get_relations() method."
)
def get_primary_key_column(self, cursor, table_name):
"""
Return the name of the primary key column for the given table.
"""
columns = self.get_primary_key_columns(cursor, table_name)
return columns[0] if columns else None
def get_primary_key_columns(self, cursor, table_name):
"""Return a list of primary key columns for the given table."""
for constraint in self.get_constraints(cursor, table_name).values():
if constraint["primary_key"]:
return constraint["columns"]
return None
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index)
across one or more columns.
Return a dict mapping constraint names to their attributes,
where attributes is a dict with keys:
* columns: List of columns this covers
* primary_key: True if primary key, False otherwise
* unique: True if this is a unique constraint, False otherwise
* foreign_key: (table, column) of target, or None
* check: True if check constraint, False otherwise
* index: True if index, False otherwise.
* orders: The order (ASC/DESC) defined for the columns of indexes
* type: The type of the index (btree, hash, etc.)
Some backends may return special constraint names that don't exist
if they don't name constraints of a certain type (e.g. SQLite)
"""
raise NotImplementedError(
"subclasses of BaseDatabaseIntrospection may require a get_constraints() "
"method"
)

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@@ -0,0 +1,778 @@
import datetime
import decimal
import json
from importlib import import_module
import sqlparse
from django.conf import settings
from django.db import NotSupportedError, transaction
from django.db.backends import utils
from django.utils import timezone
from django.utils.encoding import force_str
class BaseDatabaseOperations:
"""
Encapsulate backend-specific differences, such as the way a backend
performs ordering or calculates the ID of a recently-inserted row.
"""
compiler_module = "django.db.models.sql.compiler"
# Integer field safe ranges by `internal_type` as documented
# in docs/ref/models/fields.txt.
integer_field_ranges = {
"SmallIntegerField": (-32768, 32767),
"IntegerField": (-2147483648, 2147483647),
"BigIntegerField": (-9223372036854775808, 9223372036854775807),
"PositiveBigIntegerField": (0, 9223372036854775807),
"PositiveSmallIntegerField": (0, 32767),
"PositiveIntegerField": (0, 2147483647),
"SmallAutoField": (-32768, 32767),
"AutoField": (-2147483648, 2147483647),
"BigAutoField": (-9223372036854775808, 9223372036854775807),
}
set_operators = {
"union": "UNION",
"intersection": "INTERSECT",
"difference": "EXCEPT",
}
# Mapping of Field.get_internal_type() (typically the model field's class
# name) to the data type to use for the Cast() function, if different from
# DatabaseWrapper.data_types.
cast_data_types = {}
# CharField data type if the max_length argument isn't provided.
cast_char_field_without_max_length = None
# Start and end points for window expressions.
PRECEDING = "PRECEDING"
FOLLOWING = "FOLLOWING"
UNBOUNDED_PRECEDING = "UNBOUNDED " + PRECEDING
UNBOUNDED_FOLLOWING = "UNBOUNDED " + FOLLOWING
CURRENT_ROW = "CURRENT ROW"
# Prefix for EXPLAIN queries, or None EXPLAIN isn't supported.
explain_prefix = None
def __init__(self, connection):
self.connection = connection
self._cache = None
def autoinc_sql(self, table, column):
"""
Return any SQL needed to support auto-incrementing primary keys, or
None if no SQL is necessary.
This SQL is executed when a table is created.
"""
return None
def bulk_batch_size(self, fields, objs):
"""
Return the maximum allowed batch size for the backend. The fields
are the fields going to be inserted in the batch, the objs contains
all the objects to be inserted.
"""
return len(objs)
def format_for_duration_arithmetic(self, sql):
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a "
"format_for_duration_arithmetic() method."
)
def cache_key_culling_sql(self):
"""
Return an SQL query that retrieves the first cache key greater than the
n smallest.
This is used by the 'db' cache backend to determine where to start
culling.
"""
cache_key = self.quote_name("cache_key")
return f"SELECT {cache_key} FROM %s ORDER BY {cache_key} LIMIT 1 OFFSET %%s"
def unification_cast_sql(self, output_field):
"""
Given a field instance, return the SQL that casts the result of a union
to that type. The resulting string should contain a '%s' placeholder
for the expression being cast.
"""
return "%s"
def date_extract_sql(self, lookup_type, sql, params):
"""
Given a lookup_type of 'year', 'month', or 'day', return the SQL that
extracts a value from the given date field field_name.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a date_extract_sql() "
"method"
)
def date_trunc_sql(self, lookup_type, sql, params, tzname=None):
"""
Given a lookup_type of 'year', 'month', or 'day', return the SQL that
truncates the given date or datetime field field_name to a date object
with only the given specificity.
If `tzname` is provided, the given value is truncated in a specific
timezone.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a date_trunc_sql() "
"method."
)
def datetime_cast_date_sql(self, sql, params, tzname):
"""
Return the SQL to cast a datetime value to date value.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a "
"datetime_cast_date_sql() method."
)
def datetime_cast_time_sql(self, sql, params, tzname):
"""
Return the SQL to cast a datetime value to time value.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a "
"datetime_cast_time_sql() method"
)
def datetime_extract_sql(self, lookup_type, sql, params, tzname):
"""
Given a lookup_type of 'year', 'month', 'day', 'hour', 'minute', or
'second', return the SQL that extracts a value from the given
datetime field field_name.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a datetime_extract_sql() "
"method"
)
def datetime_trunc_sql(self, lookup_type, sql, params, tzname):
"""
Given a lookup_type of 'year', 'month', 'day', 'hour', 'minute', or
'second', return the SQL that truncates the given datetime field
field_name to a datetime object with only the given specificity.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a datetime_trunc_sql() "
"method"
)
def time_trunc_sql(self, lookup_type, sql, params, tzname=None):
"""
Given a lookup_type of 'hour', 'minute' or 'second', return the SQL
that truncates the given time or datetime field field_name to a time
object with only the given specificity.
If `tzname` is provided, the given value is truncated in a specific
timezone.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a time_trunc_sql() method"
)
def time_extract_sql(self, lookup_type, sql, params):
"""
Given a lookup_type of 'hour', 'minute', or 'second', return the SQL
that extracts a value from the given time field field_name.
"""
return self.date_extract_sql(lookup_type, sql, params)
def deferrable_sql(self):
"""
Return the SQL to make a constraint "initially deferred" during a
CREATE TABLE statement.
"""
return ""
def distinct_sql(self, fields, params):
"""
Return an SQL DISTINCT clause which removes duplicate rows from the
result set. If any fields are given, only check the given fields for
duplicates.
"""
if fields:
raise NotSupportedError(
"DISTINCT ON fields is not supported by this database backend"
)
else:
return ["DISTINCT"], []
def fetch_returned_insert_columns(self, cursor, returning_params):
"""
Given a cursor object that has just performed an INSERT...RETURNING
statement into a table, return the newly created data.
"""
return cursor.fetchone()
def field_cast_sql(self, db_type, internal_type):
"""
Given a column type (e.g. 'BLOB', 'VARCHAR') and an internal type
(e.g. 'GenericIPAddressField'), return the SQL to cast it before using
it in a WHERE statement. The resulting string should contain a '%s'
placeholder for the column being searched against.
"""
return "%s"
def force_no_ordering(self):
"""
Return a list used in the "ORDER BY" clause to force no ordering at
all. Return an empty list to include nothing in the ordering.
"""
return []
def for_update_sql(self, nowait=False, skip_locked=False, of=(), no_key=False):
"""
Return the FOR UPDATE SQL clause to lock rows for an update operation.
"""
return "FOR%s UPDATE%s%s%s" % (
" NO KEY" if no_key else "",
" OF %s" % ", ".join(of) if of else "",
" NOWAIT" if nowait else "",
" SKIP LOCKED" if skip_locked else "",
)
def _get_limit_offset_params(self, low_mark, high_mark):
offset = low_mark or 0
if high_mark is not None:
return (high_mark - offset), offset
elif offset:
return self.connection.ops.no_limit_value(), offset
return None, offset
def limit_offset_sql(self, low_mark, high_mark):
"""Return LIMIT/OFFSET SQL clause."""
limit, offset = self._get_limit_offset_params(low_mark, high_mark)
return " ".join(
sql
for sql in (
("LIMIT %d" % limit) if limit else None,
("OFFSET %d" % offset) if offset else None,
)
if sql
)
def last_executed_query(self, cursor, sql, params):
"""
Return a string of the query last executed by the given cursor, with
placeholders replaced with actual values.
`sql` is the raw query containing placeholders and `params` is the
sequence of parameters. These are used by default, but this method
exists for database backends to provide a better implementation
according to their own quoting schemes.
"""
# Convert params to contain string values.
def to_string(s):
return force_str(s, strings_only=True, errors="replace")
if isinstance(params, (list, tuple)):
u_params = tuple(to_string(val) for val in params)
elif params is None:
u_params = ()
else:
u_params = {to_string(k): to_string(v) for k, v in params.items()}
return "QUERY = %r - PARAMS = %r" % (sql, u_params)
def last_insert_id(self, cursor, table_name, pk_name):
"""
Given a cursor object that has just performed an INSERT statement into
a table that has an auto-incrementing ID, return the newly created ID.
`pk_name` is the name of the primary-key column.
"""
return cursor.lastrowid
def lookup_cast(self, lookup_type, internal_type=None):
"""
Return the string to use in a query when performing lookups
("contains", "like", etc.). It should contain a '%s' placeholder for
the column being searched against.
"""
return "%s"
def max_in_list_size(self):
"""
Return the maximum number of items that can be passed in a single 'IN'
list condition, or None if the backend does not impose a limit.
"""
return None
def max_name_length(self):
"""
Return the maximum length of table and column names, or None if there
is no limit.
"""
return None
def no_limit_value(self):
"""
Return the value to use for the LIMIT when we are wanting "LIMIT
infinity". Return None if the limit clause can be omitted in this case.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a no_limit_value() method"
)
def pk_default_value(self):
"""
Return the value to use during an INSERT statement to specify that
the field should use its default value.
"""
return "DEFAULT"
def prepare_sql_script(self, sql):
"""
Take an SQL script that may contain multiple lines and return a list
of statements to feed to successive cursor.execute() calls.
Since few databases are able to process raw SQL scripts in a single
cursor.execute() call and PEP 249 doesn't talk about this use case,
the default implementation is conservative.
"""
return [
sqlparse.format(statement, strip_comments=True)
for statement in sqlparse.split(sql)
if statement
]
def process_clob(self, value):
"""
Return the value of a CLOB column, for backends that return a locator
object that requires additional processing.
"""
return value
def return_insert_columns(self, fields):
"""
For backends that support returning columns as part of an insert query,
return the SQL and params to append to the INSERT query. The returned
fragment should contain a format string to hold the appropriate column.
"""
pass
def compiler(self, compiler_name):
"""
Return the SQLCompiler class corresponding to the given name,
in the namespace corresponding to the `compiler_module` attribute
on this backend.
"""
if self._cache is None:
self._cache = import_module(self.compiler_module)
return getattr(self._cache, compiler_name)
def quote_name(self, name):
"""
Return a quoted version of the given table, index, or column name. Do
not quote the given name if it's already been quoted.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a quote_name() method"
)
def regex_lookup(self, lookup_type):
"""
Return the string to use in a query when performing regular expression
lookups (using "regex" or "iregex"). It should contain a '%s'
placeholder for the column being searched against.
If the feature is not supported (or part of it is not supported), raise
NotImplementedError.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a regex_lookup() method"
)
def savepoint_create_sql(self, sid):
"""
Return the SQL for starting a new savepoint. Only required if the
"uses_savepoints" feature is True. The "sid" parameter is a string
for the savepoint id.
"""
return "SAVEPOINT %s" % self.quote_name(sid)
def savepoint_commit_sql(self, sid):
"""
Return the SQL for committing the given savepoint.
"""
return "RELEASE SAVEPOINT %s" % self.quote_name(sid)
def savepoint_rollback_sql(self, sid):
"""
Return the SQL for rolling back the given savepoint.
"""
return "ROLLBACK TO SAVEPOINT %s" % self.quote_name(sid)
def set_time_zone_sql(self):
"""
Return the SQL that will set the connection's time zone.
Return '' if the backend doesn't support time zones.
"""
return ""
def sql_flush(self, style, tables, *, reset_sequences=False, allow_cascade=False):
"""
Return a list of SQL statements required to remove all data from
the given database tables (without actually removing the tables
themselves).
The `style` argument is a Style object as returned by either
color_style() or no_style() in django.core.management.color.
If `reset_sequences` is True, the list includes SQL statements required
to reset the sequences.
The `allow_cascade` argument determines whether truncation may cascade
to tables with foreign keys pointing the tables being truncated.
PostgreSQL requires a cascade even if these tables are empty.
"""
raise NotImplementedError(
"subclasses of BaseDatabaseOperations must provide an sql_flush() method"
)
def execute_sql_flush(self, sql_list):
"""Execute a list of SQL statements to flush the database."""
with transaction.atomic(
using=self.connection.alias,
savepoint=self.connection.features.can_rollback_ddl,
):
with self.connection.cursor() as cursor:
for sql in sql_list:
cursor.execute(sql)
def sequence_reset_by_name_sql(self, style, sequences):
"""
Return a list of the SQL statements required to reset sequences
passed in `sequences`.
The `style` argument is a Style object as returned by either
color_style() or no_style() in django.core.management.color.
"""
return []
def sequence_reset_sql(self, style, model_list):
"""
Return a list of the SQL statements required to reset sequences for
the given models.
The `style` argument is a Style object as returned by either
color_style() or no_style() in django.core.management.color.
"""
return [] # No sequence reset required by default.
def start_transaction_sql(self):
"""Return the SQL statement required to start a transaction."""
return "BEGIN;"
def end_transaction_sql(self, success=True):
"""Return the SQL statement required to end a transaction."""
if not success:
return "ROLLBACK;"
return "COMMIT;"
def tablespace_sql(self, tablespace, inline=False):
"""
Return the SQL that will be used in a query to define the tablespace.
Return '' if the backend doesn't support tablespaces.
If `inline` is True, append the SQL to a row; otherwise append it to
the entire CREATE TABLE or CREATE INDEX statement.
"""
return ""
def prep_for_like_query(self, x):
"""Prepare a value for use in a LIKE query."""
return str(x).replace("\\", "\\\\").replace("%", r"\%").replace("_", r"\_")
# Same as prep_for_like_query(), but called for "iexact" matches, which
# need not necessarily be implemented using "LIKE" in the backend.
prep_for_iexact_query = prep_for_like_query
def validate_autopk_value(self, value):
"""
Certain backends do not accept some values for "serial" fields
(for example zero in MySQL). Raise a ValueError if the value is
invalid, otherwise return the validated value.
"""
return value
def adapt_unknown_value(self, value):
"""
Transform a value to something compatible with the backend driver.
This method only depends on the type of the value. It's designed for
cases where the target type isn't known, such as .raw() SQL queries.
As a consequence it may not work perfectly in all circumstances.
"""
if isinstance(value, datetime.datetime): # must be before date
return self.adapt_datetimefield_value(value)
elif isinstance(value, datetime.date):
return self.adapt_datefield_value(value)
elif isinstance(value, datetime.time):
return self.adapt_timefield_value(value)
elif isinstance(value, decimal.Decimal):
return self.adapt_decimalfield_value(value)
else:
return value
def adapt_integerfield_value(self, value, internal_type):
return value
def adapt_datefield_value(self, value):
"""
Transform a date value to an object compatible with what is expected
by the backend driver for date columns.
"""
if value is None:
return None
return str(value)
def adapt_datetimefield_value(self, value):
"""
Transform a datetime value to an object compatible with what is expected
by the backend driver for datetime columns.
"""
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
return str(value)
def adapt_timefield_value(self, value):
"""
Transform a time value to an object compatible with what is expected
by the backend driver for time columns.
"""
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
if timezone.is_aware(value):
raise ValueError("Django does not support timezone-aware times.")
return str(value)
def adapt_decimalfield_value(self, value, max_digits=None, decimal_places=None):
"""
Transform a decimal.Decimal value to an object compatible with what is
expected by the backend driver for decimal (numeric) columns.
"""
return utils.format_number(value, max_digits, decimal_places)
def adapt_ipaddressfield_value(self, value):
"""
Transform a string representation of an IP address into the expected
type for the backend driver.
"""
return value or None
def adapt_json_value(self, value, encoder):
return json.dumps(value, cls=encoder)
def year_lookup_bounds_for_date_field(self, value, iso_year=False):
"""
Return a two-elements list with the lower and upper bound to be used
with a BETWEEN operator to query a DateField value using a year
lookup.
`value` is an int, containing the looked-up year.
If `iso_year` is True, return bounds for ISO-8601 week-numbering years.
"""
if iso_year:
first = datetime.date.fromisocalendar(value, 1, 1)
second = datetime.date.fromisocalendar(
value + 1, 1, 1
) - datetime.timedelta(days=1)
else:
first = datetime.date(value, 1, 1)
second = datetime.date(value, 12, 31)
first = self.adapt_datefield_value(first)
second = self.adapt_datefield_value(second)
return [first, second]
def year_lookup_bounds_for_datetime_field(self, value, iso_year=False):
"""
Return a two-elements list with the lower and upper bound to be used
with a BETWEEN operator to query a DateTimeField value using a year
lookup.
`value` is an int, containing the looked-up year.
If `iso_year` is True, return bounds for ISO-8601 week-numbering years.
"""
if iso_year:
first = datetime.datetime.fromisocalendar(value, 1, 1)
second = datetime.datetime.fromisocalendar(
value + 1, 1, 1
) - datetime.timedelta(microseconds=1)
else:
first = datetime.datetime(value, 1, 1)
second = datetime.datetime(value, 12, 31, 23, 59, 59, 999999)
if settings.USE_TZ:
tz = timezone.get_current_timezone()
first = timezone.make_aware(first, tz)
second = timezone.make_aware(second, tz)
first = self.adapt_datetimefield_value(first)
second = self.adapt_datetimefield_value(second)
return [first, second]
def get_db_converters(self, expression):
"""
Return a list of functions needed to convert field data.
Some field types on some backends do not provide data in the correct
format, this is the hook for converter functions.
"""
return []
def convert_durationfield_value(self, value, expression, connection):
if value is not None:
return datetime.timedelta(0, 0, value)
def check_expression_support(self, expression):
"""
Check that the backend supports the provided expression.
This is used on specific backends to rule out known expressions
that have problematic or nonexistent implementations. If the
expression has a known problem, the backend should raise
NotSupportedError.
"""
pass
def conditional_expression_supported_in_where_clause(self, expression):
"""
Return True, if the conditional expression is supported in the WHERE
clause.
"""
return True
def combine_expression(self, connector, sub_expressions):
"""
Combine a list of subexpressions into a single expression, using
the provided connecting operator. This is required because operators
can vary between backends (e.g., Oracle with %% and &) and between
subexpression types (e.g., date expressions).
"""
conn = " %s " % connector
return conn.join(sub_expressions)
def combine_duration_expression(self, connector, sub_expressions):
return self.combine_expression(connector, sub_expressions)
def binary_placeholder_sql(self, value):
"""
Some backends require special syntax to insert binary content (MySQL
for example uses '_binary %s').
"""
return "%s"
def modify_insert_params(self, placeholder, params):
"""
Allow modification of insert parameters. Needed for Oracle Spatial
backend due to #10888.
"""
return params
def integer_field_range(self, internal_type):
"""
Given an integer field internal type (e.g. 'PositiveIntegerField'),
return a tuple of the (min_value, max_value) form representing the
range of the column type bound to the field.
"""
return self.integer_field_ranges[internal_type]
def subtract_temporals(self, internal_type, lhs, rhs):
if self.connection.features.supports_temporal_subtraction:
lhs_sql, lhs_params = lhs
rhs_sql, rhs_params = rhs
return "(%s - %s)" % (lhs_sql, rhs_sql), (*lhs_params, *rhs_params)
raise NotSupportedError(
"This backend does not support %s subtraction." % internal_type
)
def window_frame_start(self, start):
if isinstance(start, int):
if start < 0:
return "%d %s" % (abs(start), self.PRECEDING)
elif start == 0:
return self.CURRENT_ROW
elif start is None:
return self.UNBOUNDED_PRECEDING
raise ValueError(
"start argument must be a negative integer, zero, or None, but got '%s'."
% start
)
def window_frame_end(self, end):
if isinstance(end, int):
if end == 0:
return self.CURRENT_ROW
elif end > 0:
return "%d %s" % (end, self.FOLLOWING)
elif end is None:
return self.UNBOUNDED_FOLLOWING
raise ValueError(
"end argument must be a positive integer, zero, or None, but got '%s'."
% end
)
def window_frame_rows_start_end(self, start=None, end=None):
"""
Return SQL for start and end points in an OVER clause window frame.
"""
if not self.connection.features.supports_over_clause:
raise NotSupportedError("This backend does not support window expressions.")
return self.window_frame_start(start), self.window_frame_end(end)
def window_frame_range_start_end(self, start=None, end=None):
start_, end_ = self.window_frame_rows_start_end(start, end)
features = self.connection.features
if features.only_supports_unbounded_with_preceding_and_following and (
(start and start < 0) or (end and end > 0)
):
raise NotSupportedError(
"%s only supports UNBOUNDED together with PRECEDING and "
"FOLLOWING." % self.connection.display_name
)
return start_, end_
def explain_query_prefix(self, format=None, **options):
if not self.connection.features.supports_explaining_query_execution:
raise NotSupportedError(
"This backend does not support explaining query execution."
)
if format:
supported_formats = self.connection.features.supported_explain_formats
normalized_format = format.upper()
if normalized_format not in supported_formats:
msg = "%s is not a recognized format." % normalized_format
if supported_formats:
msg += " Allowed formats: %s" % ", ".join(sorted(supported_formats))
else:
msg += (
f" {self.connection.display_name} does not support any formats."
)
raise ValueError(msg)
if options:
raise ValueError("Unknown options: %s" % ", ".join(sorted(options.keys())))
return self.explain_prefix
def insert_statement(self, on_conflict=None):
return "INSERT INTO"
def on_conflict_suffix_sql(self, fields, on_conflict, update_fields, unique_fields):
return ""

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class BaseDatabaseValidation:
"""Encapsulate backend-specific validation."""
def __init__(self, connection):
self.connection = connection
def check(self, **kwargs):
return []
def check_field(self, field, **kwargs):
errors = []
# Backends may implement a check_field_type() method.
if (
hasattr(self, "check_field_type")
and
# Ignore any related fields.
not getattr(field, "remote_field", None)
):
# Ignore fields with unsupported features.
db_supports_all_required_features = all(
getattr(self.connection.features, feature, False)
for feature in field.model._meta.required_db_features
)
if db_supports_all_required_features:
field_type = field.db_type(self.connection)
# Ignore non-concrete fields.
if field_type is not None:
errors.extend(self.check_field_type(field, field_type))
return errors

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"""
Helpers to manipulate deferred DDL statements that might need to be adjusted or
discarded within when executing a migration.
"""
from copy import deepcopy
class Reference:
"""Base class that defines the reference interface."""
def references_table(self, table):
"""
Return whether or not this instance references the specified table.
"""
return False
def references_column(self, table, column):
"""
Return whether or not this instance references the specified column.
"""
return False
def rename_table_references(self, old_table, new_table):
"""
Rename all references to the old_name to the new_table.
"""
pass
def rename_column_references(self, table, old_column, new_column):
"""
Rename all references to the old_column to the new_column.
"""
pass
def __repr__(self):
return "<%s %r>" % (self.__class__.__name__, str(self))
def __str__(self):
raise NotImplementedError(
"Subclasses must define how they should be converted to string."
)
class Table(Reference):
"""Hold a reference to a table."""
def __init__(self, table, quote_name):
self.table = table
self.quote_name = quote_name
def references_table(self, table):
return self.table == table
def rename_table_references(self, old_table, new_table):
if self.table == old_table:
self.table = new_table
def __str__(self):
return self.quote_name(self.table)
class TableColumns(Table):
"""Base class for references to multiple columns of a table."""
def __init__(self, table, columns):
self.table = table
self.columns = columns
def references_column(self, table, column):
return self.table == table and column in self.columns
def rename_column_references(self, table, old_column, new_column):
if self.table == table:
for index, column in enumerate(self.columns):
if column == old_column:
self.columns[index] = new_column
class Columns(TableColumns):
"""Hold a reference to one or many columns."""
def __init__(self, table, columns, quote_name, col_suffixes=()):
self.quote_name = quote_name
self.col_suffixes = col_suffixes
super().__init__(table, columns)
def __str__(self):
def col_str(column, idx):
col = self.quote_name(column)
try:
suffix = self.col_suffixes[idx]
if suffix:
col = "{} {}".format(col, suffix)
except IndexError:
pass
return col
return ", ".join(
col_str(column, idx) for idx, column in enumerate(self.columns)
)
class IndexName(TableColumns):
"""Hold a reference to an index name."""
def __init__(self, table, columns, suffix, create_index_name):
self.suffix = suffix
self.create_index_name = create_index_name
super().__init__(table, columns)
def __str__(self):
return self.create_index_name(self.table, self.columns, self.suffix)
class IndexColumns(Columns):
def __init__(self, table, columns, quote_name, col_suffixes=(), opclasses=()):
self.opclasses = opclasses
super().__init__(table, columns, quote_name, col_suffixes)
def __str__(self):
def col_str(column, idx):
# Index.__init__() guarantees that self.opclasses is the same
# length as self.columns.
col = "{} {}".format(self.quote_name(column), self.opclasses[idx])
try:
suffix = self.col_suffixes[idx]
if suffix:
col = "{} {}".format(col, suffix)
except IndexError:
pass
return col
return ", ".join(
col_str(column, idx) for idx, column in enumerate(self.columns)
)
class ForeignKeyName(TableColumns):
"""Hold a reference to a foreign key name."""
def __init__(
self,
from_table,
from_columns,
to_table,
to_columns,
suffix_template,
create_fk_name,
):
self.to_reference = TableColumns(to_table, to_columns)
self.suffix_template = suffix_template
self.create_fk_name = create_fk_name
super().__init__(
from_table,
from_columns,
)
def references_table(self, table):
return super().references_table(table) or self.to_reference.references_table(
table
)
def references_column(self, table, column):
return super().references_column(
table, column
) or self.to_reference.references_column(table, column)
def rename_table_references(self, old_table, new_table):
super().rename_table_references(old_table, new_table)
self.to_reference.rename_table_references(old_table, new_table)
def rename_column_references(self, table, old_column, new_column):
super().rename_column_references(table, old_column, new_column)
self.to_reference.rename_column_references(table, old_column, new_column)
def __str__(self):
suffix = self.suffix_template % {
"to_table": self.to_reference.table,
"to_column": self.to_reference.columns[0],
}
return self.create_fk_name(self.table, self.columns, suffix)
class Statement(Reference):
"""
Statement template and formatting parameters container.
Allows keeping a reference to a statement without interpolating identifiers
that might have to be adjusted if they're referencing a table or column
that is removed
"""
def __init__(self, template, **parts):
self.template = template
self.parts = parts
def references_table(self, table):
return any(
hasattr(part, "references_table") and part.references_table(table)
for part in self.parts.values()
)
def references_column(self, table, column):
return any(
hasattr(part, "references_column") and part.references_column(table, column)
for part in self.parts.values()
)
def rename_table_references(self, old_table, new_table):
for part in self.parts.values():
if hasattr(part, "rename_table_references"):
part.rename_table_references(old_table, new_table)
def rename_column_references(self, table, old_column, new_column):
for part in self.parts.values():
if hasattr(part, "rename_column_references"):
part.rename_column_references(table, old_column, new_column)
def __str__(self):
return self.template % self.parts
class Expressions(TableColumns):
def __init__(self, table, expressions, compiler, quote_value):
self.compiler = compiler
self.expressions = expressions
self.quote_value = quote_value
columns = [
col.target.column
for col in self.compiler.query._gen_cols([self.expressions])
]
super().__init__(table, columns)
def rename_table_references(self, old_table, new_table):
if self.table != old_table:
return
self.expressions = self.expressions.relabeled_clone({old_table: new_table})
super().rename_table_references(old_table, new_table)
def rename_column_references(self, table, old_column, new_column):
if self.table != table:
return
expressions = deepcopy(self.expressions)
self.columns = []
for col in self.compiler.query._gen_cols([expressions]):
if col.target.column == old_column:
col.target.column = new_column
self.columns.append(col.target.column)
self.expressions = expressions
def __str__(self):
sql, params = self.compiler.compile(self.expressions)
params = map(self.quote_value, params)
return sql % tuple(params)

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"""
Dummy database backend for Django.
Django uses this if the database ENGINE setting is empty (None or empty string).
Each of these API functions, except connection.close(), raise
ImproperlyConfigured.
"""
from django.core.exceptions import ImproperlyConfigured
from django.db.backends.base.base import BaseDatabaseWrapper
from django.db.backends.base.client import BaseDatabaseClient
from django.db.backends.base.creation import BaseDatabaseCreation
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.operations import BaseDatabaseOperations
from django.db.backends.dummy.features import DummyDatabaseFeatures
def complain(*args, **kwargs):
raise ImproperlyConfigured(
"settings.DATABASES is improperly configured. "
"Please supply the ENGINE value. Check "
"settings documentation for more details."
)
def ignore(*args, **kwargs):
pass
class DatabaseOperations(BaseDatabaseOperations):
quote_name = complain
class DatabaseClient(BaseDatabaseClient):
runshell = complain
class DatabaseCreation(BaseDatabaseCreation):
create_test_db = ignore
destroy_test_db = ignore
class DatabaseIntrospection(BaseDatabaseIntrospection):
get_table_list = complain
get_table_description = complain
get_relations = complain
get_indexes = complain
class DatabaseWrapper(BaseDatabaseWrapper):
operators = {}
# Override the base class implementations with null
# implementations. Anything that tries to actually
# do something raises complain; anything that tries
# to rollback or undo something raises ignore.
_cursor = complain
ensure_connection = complain
_commit = complain
_rollback = ignore
_close = ignore
_savepoint = ignore
_savepoint_commit = complain
_savepoint_rollback = ignore
_set_autocommit = complain
# Classes instantiated in __init__().
client_class = DatabaseClient
creation_class = DatabaseCreation
features_class = DummyDatabaseFeatures
introspection_class = DatabaseIntrospection
ops_class = DatabaseOperations
def is_usable(self):
return True

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from django.db.backends.base.features import BaseDatabaseFeatures
class DummyDatabaseFeatures(BaseDatabaseFeatures):
supports_transactions = False
uses_savepoints = False

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"""
MySQL database backend for Django.
Requires mysqlclient: https://pypi.org/project/mysqlclient/
"""
from django.core.exceptions import ImproperlyConfigured
from django.db import IntegrityError
from django.db.backends import utils as backend_utils
from django.db.backends.base.base import BaseDatabaseWrapper
from django.utils.asyncio import async_unsafe
from django.utils.functional import cached_property
from django.utils.regex_helper import _lazy_re_compile
try:
import MySQLdb as Database
except ImportError as err:
raise ImproperlyConfigured(
"Error loading MySQLdb module.\nDid you install mysqlclient?"
) from err
from MySQLdb.constants import CLIENT, FIELD_TYPE
from MySQLdb.converters import conversions
# Some of these import MySQLdb, so import them after checking if it's installed.
from .client import DatabaseClient
from .creation import DatabaseCreation
from .features import DatabaseFeatures
from .introspection import DatabaseIntrospection
from .operations import DatabaseOperations
from .schema import DatabaseSchemaEditor
from .validation import DatabaseValidation
version = Database.version_info
if version < (1, 4, 3):
raise ImproperlyConfigured(
"mysqlclient 1.4.3 or newer is required; you have %s." % Database.__version__
)
# MySQLdb returns TIME columns as timedelta -- they are more like timedelta in
# terms of actual behavior as they are signed and include days -- and Django
# expects time.
django_conversions = {
**conversions,
**{FIELD_TYPE.TIME: backend_utils.typecast_time},
}
# This should match the numerical portion of the version numbers (we can treat
# versions like 5.0.24 and 5.0.24a as the same).
server_version_re = _lazy_re_compile(r"(\d{1,2})\.(\d{1,2})\.(\d{1,2})")
class CursorWrapper:
"""
A thin wrapper around MySQLdb's normal cursor class that catches particular
exception instances and reraises them with the correct types.
Implemented as a wrapper, rather than a subclass, so that it isn't stuck
to the particular underlying representation returned by Connection.cursor().
"""
codes_for_integrityerror = (
1048, # Column cannot be null
1690, # BIGINT UNSIGNED value is out of range
3819, # CHECK constraint is violated
4025, # CHECK constraint failed
)
def __init__(self, cursor):
self.cursor = cursor
def execute(self, query, args=None):
try:
# args is None means no string interpolation
return self.cursor.execute(query, args)
except Database.OperationalError as e:
# Map some error codes to IntegrityError, since they seem to be
# misclassified and Django would prefer the more logical place.
if e.args[0] in self.codes_for_integrityerror:
raise IntegrityError(*tuple(e.args))
raise
def executemany(self, query, args):
try:
return self.cursor.executemany(query, args)
except Database.OperationalError as e:
# Map some error codes to IntegrityError, since they seem to be
# misclassified and Django would prefer the more logical place.
if e.args[0] in self.codes_for_integrityerror:
raise IntegrityError(*tuple(e.args))
raise
def __getattr__(self, attr):
return getattr(self.cursor, attr)
def __iter__(self):
return iter(self.cursor)
class DatabaseWrapper(BaseDatabaseWrapper):
vendor = "mysql"
# This dictionary maps Field objects to their associated MySQL column
# types, as strings. Column-type strings can contain format strings; they'll
# be interpolated against the values of Field.__dict__ before being output.
# If a column type is set to None, it won't be included in the output.
data_types = {
"AutoField": "integer AUTO_INCREMENT",
"BigAutoField": "bigint AUTO_INCREMENT",
"BinaryField": "longblob",
"BooleanField": "bool",
"CharField": "varchar(%(max_length)s)",
"DateField": "date",
"DateTimeField": "datetime(6)",
"DecimalField": "numeric(%(max_digits)s, %(decimal_places)s)",
"DurationField": "bigint",
"FileField": "varchar(%(max_length)s)",
"FilePathField": "varchar(%(max_length)s)",
"FloatField": "double precision",
"IntegerField": "integer",
"BigIntegerField": "bigint",
"IPAddressField": "char(15)",
"GenericIPAddressField": "char(39)",
"JSONField": "json",
"OneToOneField": "integer",
"PositiveBigIntegerField": "bigint UNSIGNED",
"PositiveIntegerField": "integer UNSIGNED",
"PositiveSmallIntegerField": "smallint UNSIGNED",
"SlugField": "varchar(%(max_length)s)",
"SmallAutoField": "smallint AUTO_INCREMENT",
"SmallIntegerField": "smallint",
"TextField": "longtext",
"TimeField": "time(6)",
"UUIDField": "char(32)",
}
# For these data types:
# - MySQL < 8.0.13 doesn't accept default values and implicitly treats them
# as nullable
# - all versions of MySQL and MariaDB don't support full width database
# indexes
_limited_data_types = (
"tinyblob",
"blob",
"mediumblob",
"longblob",
"tinytext",
"text",
"mediumtext",
"longtext",
"json",
)
operators = {
"exact": "= %s",
"iexact": "LIKE %s",
"contains": "LIKE BINARY %s",
"icontains": "LIKE %s",
"gt": "> %s",
"gte": ">= %s",
"lt": "< %s",
"lte": "<= %s",
"startswith": "LIKE BINARY %s",
"endswith": "LIKE BINARY %s",
"istartswith": "LIKE %s",
"iendswith": "LIKE %s",
}
# The patterns below are used to generate SQL pattern lookup clauses when
# the right-hand side of the lookup isn't a raw string (it might be an expression
# or the result of a bilateral transformation).
# In those cases, special characters for LIKE operators (e.g. \, *, _) should be
# escaped on database side.
#
# Note: we use str.format() here for readability as '%' is used as a wildcard for
# the LIKE operator.
pattern_esc = r"REPLACE(REPLACE(REPLACE({}, '\\', '\\\\'), '%%', '\%%'), '_', '\_')"
pattern_ops = {
"contains": "LIKE BINARY CONCAT('%%', {}, '%%')",
"icontains": "LIKE CONCAT('%%', {}, '%%')",
"startswith": "LIKE BINARY CONCAT({}, '%%')",
"istartswith": "LIKE CONCAT({}, '%%')",
"endswith": "LIKE BINARY CONCAT('%%', {})",
"iendswith": "LIKE CONCAT('%%', {})",
}
isolation_levels = {
"read uncommitted",
"read committed",
"repeatable read",
"serializable",
}
Database = Database
SchemaEditorClass = DatabaseSchemaEditor
# Classes instantiated in __init__().
client_class = DatabaseClient
creation_class = DatabaseCreation
features_class = DatabaseFeatures
introspection_class = DatabaseIntrospection
ops_class = DatabaseOperations
validation_class = DatabaseValidation
def get_database_version(self):
return self.mysql_version
def get_connection_params(self):
kwargs = {
"conv": django_conversions,
"charset": "utf8",
}
settings_dict = self.settings_dict
if settings_dict["USER"]:
kwargs["user"] = settings_dict["USER"]
if settings_dict["NAME"]:
kwargs["database"] = settings_dict["NAME"]
if settings_dict["PASSWORD"]:
kwargs["password"] = settings_dict["PASSWORD"]
if settings_dict["HOST"].startswith("/"):
kwargs["unix_socket"] = settings_dict["HOST"]
elif settings_dict["HOST"]:
kwargs["host"] = settings_dict["HOST"]
if settings_dict["PORT"]:
kwargs["port"] = int(settings_dict["PORT"])
# We need the number of potentially affected rows after an
# "UPDATE", not the number of changed rows.
kwargs["client_flag"] = CLIENT.FOUND_ROWS
# Validate the transaction isolation level, if specified.
options = settings_dict["OPTIONS"].copy()
isolation_level = options.pop("isolation_level", "read committed")
if isolation_level:
isolation_level = isolation_level.lower()
if isolation_level not in self.isolation_levels:
raise ImproperlyConfigured(
"Invalid transaction isolation level '%s' specified.\n"
"Use one of %s, or None."
% (
isolation_level,
", ".join("'%s'" % s for s in sorted(self.isolation_levels)),
)
)
self.isolation_level = isolation_level
kwargs.update(options)
return kwargs
@async_unsafe
def get_new_connection(self, conn_params):
connection = Database.connect(**conn_params)
# bytes encoder in mysqlclient doesn't work and was added only to
# prevent KeyErrors in Django < 2.0. We can remove this workaround when
# mysqlclient 2.1 becomes the minimal mysqlclient supported by Django.
# See https://github.com/PyMySQL/mysqlclient/issues/489
if connection.encoders.get(bytes) is bytes:
connection.encoders.pop(bytes)
return connection
def init_connection_state(self):
super().init_connection_state()
assignments = []
if self.features.is_sql_auto_is_null_enabled:
# SQL_AUTO_IS_NULL controls whether an AUTO_INCREMENT column on
# a recently inserted row will return when the field is tested
# for NULL. Disabling this brings this aspect of MySQL in line
# with SQL standards.
assignments.append("SET SQL_AUTO_IS_NULL = 0")
if self.isolation_level:
assignments.append(
"SET SESSION TRANSACTION ISOLATION LEVEL %s"
% self.isolation_level.upper()
)
if assignments:
with self.cursor() as cursor:
cursor.execute("; ".join(assignments))
@async_unsafe
def create_cursor(self, name=None):
cursor = self.connection.cursor()
return CursorWrapper(cursor)
def _rollback(self):
try:
BaseDatabaseWrapper._rollback(self)
except Database.NotSupportedError:
pass
def _set_autocommit(self, autocommit):
with self.wrap_database_errors:
self.connection.autocommit(autocommit)
def disable_constraint_checking(self):
"""
Disable foreign key checks, primarily for use in adding rows with
forward references. Always return True to indicate constraint checks
need to be re-enabled.
"""
with self.cursor() as cursor:
cursor.execute("SET foreign_key_checks=0")
return True
def enable_constraint_checking(self):
"""
Re-enable foreign key checks after they have been disabled.
"""
# Override needs_rollback in case constraint_checks_disabled is
# nested inside transaction.atomic.
self.needs_rollback, needs_rollback = False, self.needs_rollback
try:
with self.cursor() as cursor:
cursor.execute("SET foreign_key_checks=1")
finally:
self.needs_rollback = needs_rollback
def check_constraints(self, table_names=None):
"""
Check each table name in `table_names` for rows with invalid foreign
key references. This method is intended to be used in conjunction with
`disable_constraint_checking()` and `enable_constraint_checking()`, to
determine if rows with invalid references were entered while constraint
checks were off.
"""
with self.cursor() as cursor:
if table_names is None:
table_names = self.introspection.table_names(cursor)
for table_name in table_names:
primary_key_column_name = self.introspection.get_primary_key_column(
cursor, table_name
)
if not primary_key_column_name:
continue
relations = self.introspection.get_relations(cursor, table_name)
for column_name, (
referenced_column_name,
referenced_table_name,
) in relations.items():
cursor.execute(
"""
SELECT REFERRING.`%s`, REFERRING.`%s` FROM `%s` as REFERRING
LEFT JOIN `%s` as REFERRED
ON (REFERRING.`%s` = REFERRED.`%s`)
WHERE REFERRING.`%s` IS NOT NULL AND REFERRED.`%s` IS NULL
"""
% (
primary_key_column_name,
column_name,
table_name,
referenced_table_name,
column_name,
referenced_column_name,
column_name,
referenced_column_name,
)
)
for bad_row in cursor.fetchall():
raise IntegrityError(
"The row in table '%s' with primary key '%s' has an "
"invalid foreign key: %s.%s contains a value '%s' that "
"does not have a corresponding value in %s.%s."
% (
table_name,
bad_row[0],
table_name,
column_name,
bad_row[1],
referenced_table_name,
referenced_column_name,
)
)
def is_usable(self):
try:
self.connection.ping()
except Database.Error:
return False
else:
return True
@cached_property
def display_name(self):
return "MariaDB" if self.mysql_is_mariadb else "MySQL"
@cached_property
def data_type_check_constraints(self):
if self.features.supports_column_check_constraints:
check_constraints = {
"PositiveBigIntegerField": "`%(column)s` >= 0",
"PositiveIntegerField": "`%(column)s` >= 0",
"PositiveSmallIntegerField": "`%(column)s` >= 0",
}
if self.mysql_is_mariadb and self.mysql_version < (10, 4, 3):
# MariaDB < 10.4.3 doesn't automatically use the JSON_VALID as
# a check constraint.
check_constraints["JSONField"] = "JSON_VALID(`%(column)s`)"
return check_constraints
return {}
@cached_property
def mysql_server_data(self):
with self.temporary_connection() as cursor:
# Select some server variables and test if the time zone
# definitions are installed. CONVERT_TZ returns NULL if 'UTC'
# timezone isn't loaded into the mysql.time_zone table.
cursor.execute(
"""
SELECT VERSION(),
@@sql_mode,
@@default_storage_engine,
@@sql_auto_is_null,
@@lower_case_table_names,
CONVERT_TZ('2001-01-01 01:00:00', 'UTC', 'UTC') IS NOT NULL
"""
)
row = cursor.fetchone()
return {
"version": row[0],
"sql_mode": row[1],
"default_storage_engine": row[2],
"sql_auto_is_null": bool(row[3]),
"lower_case_table_names": bool(row[4]),
"has_zoneinfo_database": bool(row[5]),
}
@cached_property
def mysql_server_info(self):
return self.mysql_server_data["version"]
@cached_property
def mysql_version(self):
match = server_version_re.match(self.mysql_server_info)
if not match:
raise Exception(
"Unable to determine MySQL version from version string %r"
% self.mysql_server_info
)
return tuple(int(x) for x in match.groups())
@cached_property
def mysql_is_mariadb(self):
return "mariadb" in self.mysql_server_info.lower()
@cached_property
def sql_mode(self):
sql_mode = self.mysql_server_data["sql_mode"]
return set(sql_mode.split(",") if sql_mode else ())

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import signal
from django.db.backends.base.client import BaseDatabaseClient
class DatabaseClient(BaseDatabaseClient):
executable_name = "mysql"
@classmethod
def settings_to_cmd_args_env(cls, settings_dict, parameters):
args = [cls.executable_name]
env = None
database = settings_dict["OPTIONS"].get(
"database",
settings_dict["OPTIONS"].get("db", settings_dict["NAME"]),
)
user = settings_dict["OPTIONS"].get("user", settings_dict["USER"])
password = settings_dict["OPTIONS"].get(
"password",
settings_dict["OPTIONS"].get("passwd", settings_dict["PASSWORD"]),
)
host = settings_dict["OPTIONS"].get("host", settings_dict["HOST"])
port = settings_dict["OPTIONS"].get("port", settings_dict["PORT"])
server_ca = settings_dict["OPTIONS"].get("ssl", {}).get("ca")
client_cert = settings_dict["OPTIONS"].get("ssl", {}).get("cert")
client_key = settings_dict["OPTIONS"].get("ssl", {}).get("key")
defaults_file = settings_dict["OPTIONS"].get("read_default_file")
charset = settings_dict["OPTIONS"].get("charset")
# Seems to be no good way to set sql_mode with CLI.
if defaults_file:
args += ["--defaults-file=%s" % defaults_file]
if user:
args += ["--user=%s" % user]
if password:
# The MYSQL_PWD environment variable usage is discouraged per
# MySQL's documentation due to the possibility of exposure through
# `ps` on old Unix flavors but --password suffers from the same
# flaw on even more systems. Usage of an environment variable also
# prevents password exposure if the subprocess.run(check=True) call
# raises a CalledProcessError since the string representation of
# the latter includes all of the provided `args`.
env = {"MYSQL_PWD": password}
if host:
if "/" in host:
args += ["--socket=%s" % host]
else:
args += ["--host=%s" % host]
if port:
args += ["--port=%s" % port]
if server_ca:
args += ["--ssl-ca=%s" % server_ca]
if client_cert:
args += ["--ssl-cert=%s" % client_cert]
if client_key:
args += ["--ssl-key=%s" % client_key]
if charset:
args += ["--default-character-set=%s" % charset]
if database:
args += [database]
args.extend(parameters)
return args, env
def runshell(self, parameters):
sigint_handler = signal.getsignal(signal.SIGINT)
try:
# Allow SIGINT to pass to mysql to abort queries.
signal.signal(signal.SIGINT, signal.SIG_IGN)
super().runshell(parameters)
finally:
# Restore the original SIGINT handler.
signal.signal(signal.SIGINT, sigint_handler)

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from django.core.exceptions import FieldError, FullResultSet
from django.db.models.expressions import Col
from django.db.models.sql import compiler
class SQLCompiler(compiler.SQLCompiler):
def as_subquery_condition(self, alias, columns, compiler):
qn = compiler.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
sql, params = self.as_sql()
return (
"(%s) IN (%s)"
% (
", ".join("%s.%s" % (qn(alias), qn2(column)) for column in columns),
sql,
),
params,
)
class SQLInsertCompiler(compiler.SQLInsertCompiler, SQLCompiler):
pass
class SQLDeleteCompiler(compiler.SQLDeleteCompiler, SQLCompiler):
def as_sql(self):
# Prefer the non-standard DELETE FROM syntax over the SQL generated by
# the SQLDeleteCompiler's default implementation when multiple tables
# are involved since MySQL/MariaDB will generate a more efficient query
# plan than when using a subquery.
where, having, qualify = self.query.where.split_having_qualify(
must_group_by=self.query.group_by is not None
)
if self.single_alias or having or qualify:
# DELETE FROM cannot be used when filtering against aggregates or
# window functions as it doesn't allow for GROUP BY/HAVING clauses
# and the subquery wrapping (necessary to emulate QUALIFY).
return super().as_sql()
result = [
"DELETE %s FROM"
% self.quote_name_unless_alias(self.query.get_initial_alias())
]
from_sql, params = self.get_from_clause()
result.extend(from_sql)
try:
where_sql, where_params = self.compile(where)
except FullResultSet:
pass
else:
result.append("WHERE %s" % where_sql)
params.extend(where_params)
return " ".join(result), tuple(params)
class SQLUpdateCompiler(compiler.SQLUpdateCompiler, SQLCompiler):
def as_sql(self):
update_query, update_params = super().as_sql()
# MySQL and MariaDB support UPDATE ... ORDER BY syntax.
if self.query.order_by:
order_by_sql = []
order_by_params = []
db_table = self.query.get_meta().db_table
try:
for resolved, (sql, params, _) in self.get_order_by():
if (
isinstance(resolved.expression, Col)
and resolved.expression.alias != db_table
):
# Ignore ordering if it contains joined fields, because
# they cannot be used in the ORDER BY clause.
raise FieldError
order_by_sql.append(sql)
order_by_params.extend(params)
update_query += " ORDER BY " + ", ".join(order_by_sql)
update_params += tuple(order_by_params)
except FieldError:
# Ignore ordering if it contains annotations, because they're
# removed in .update() and cannot be resolved.
pass
return update_query, update_params
class SQLAggregateCompiler(compiler.SQLAggregateCompiler, SQLCompiler):
pass

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import os
import subprocess
import sys
from django.db.backends.base.creation import BaseDatabaseCreation
from .client import DatabaseClient
class DatabaseCreation(BaseDatabaseCreation):
def sql_table_creation_suffix(self):
suffix = []
test_settings = self.connection.settings_dict["TEST"]
if test_settings["CHARSET"]:
suffix.append("CHARACTER SET %s" % test_settings["CHARSET"])
if test_settings["COLLATION"]:
suffix.append("COLLATE %s" % test_settings["COLLATION"])
return " ".join(suffix)
def _execute_create_test_db(self, cursor, parameters, keepdb=False):
try:
super()._execute_create_test_db(cursor, parameters, keepdb)
except Exception as e:
if len(e.args) < 1 or e.args[0] != 1007:
# All errors except "database exists" (1007) cancel tests.
self.log("Got an error creating the test database: %s" % e)
sys.exit(2)
else:
raise
def _clone_test_db(self, suffix, verbosity, keepdb=False):
source_database_name = self.connection.settings_dict["NAME"]
target_database_name = self.get_test_db_clone_settings(suffix)["NAME"]
test_db_params = {
"dbname": self.connection.ops.quote_name(target_database_name),
"suffix": self.sql_table_creation_suffix(),
}
with self._nodb_cursor() as cursor:
try:
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception:
if keepdb:
# If the database should be kept, skip everything else.
return
try:
if verbosity >= 1:
self.log(
"Destroying old test database for alias %s..."
% (
self._get_database_display_str(
verbosity, target_database_name
),
)
)
cursor.execute("DROP DATABASE %(dbname)s" % test_db_params)
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception as e:
self.log("Got an error recreating the test database: %s" % e)
sys.exit(2)
self._clone_db(source_database_name, target_database_name)
def _clone_db(self, source_database_name, target_database_name):
cmd_args, cmd_env = DatabaseClient.settings_to_cmd_args_env(
self.connection.settings_dict, []
)
dump_cmd = [
"mysqldump",
*cmd_args[1:-1],
"--routines",
"--events",
source_database_name,
]
dump_env = load_env = {**os.environ, **cmd_env} if cmd_env else None
load_cmd = cmd_args
load_cmd[-1] = target_database_name
with subprocess.Popen(
dump_cmd, stdout=subprocess.PIPE, env=dump_env
) as dump_proc:
with subprocess.Popen(
load_cmd,
stdin=dump_proc.stdout,
stdout=subprocess.DEVNULL,
env=load_env,
):
# Allow dump_proc to receive a SIGPIPE if the load process exits.
dump_proc.stdout.close()

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import operator
from django.db.backends.base.features import BaseDatabaseFeatures
from django.utils.functional import cached_property
class DatabaseFeatures(BaseDatabaseFeatures):
empty_fetchmany_value = ()
allows_group_by_selected_pks = True
related_fields_match_type = True
# MySQL doesn't support sliced subqueries with IN/ALL/ANY/SOME.
allow_sliced_subqueries_with_in = False
has_select_for_update = True
supports_forward_references = False
supports_regex_backreferencing = False
supports_date_lookup_using_string = False
supports_timezones = False
requires_explicit_null_ordering_when_grouping = True
atomic_transactions = False
can_clone_databases = True
supports_comments = True
supports_comments_inline = True
supports_temporal_subtraction = True
supports_slicing_ordering_in_compound = True
supports_index_on_text_field = False
supports_update_conflicts = True
create_test_procedure_without_params_sql = """
CREATE PROCEDURE test_procedure ()
BEGIN
DECLARE V_I INTEGER;
SET V_I = 1;
END;
"""
create_test_procedure_with_int_param_sql = """
CREATE PROCEDURE test_procedure (P_I INTEGER)
BEGIN
DECLARE V_I INTEGER;
SET V_I = P_I;
END;
"""
create_test_table_with_composite_primary_key = """
CREATE TABLE test_table_composite_pk (
column_1 INTEGER NOT NULL,
column_2 INTEGER NOT NULL,
PRIMARY KEY(column_1, column_2)
)
"""
# Neither MySQL nor MariaDB support partial indexes.
supports_partial_indexes = False
# COLLATE must be wrapped in parentheses because MySQL treats COLLATE as an
# indexed expression.
collate_as_index_expression = True
supports_order_by_nulls_modifier = False
order_by_nulls_first = True
supports_logical_xor = True
@cached_property
def minimum_database_version(self):
if self.connection.mysql_is_mariadb:
return (10, 4)
else:
return (8,)
@cached_property
def test_collations(self):
charset = "utf8"
if (
self.connection.mysql_is_mariadb
and self.connection.mysql_version >= (10, 6)
) or (
not self.connection.mysql_is_mariadb
and self.connection.mysql_version >= (8, 0, 30)
):
# utf8 is an alias for utf8mb3 in MariaDB 10.6+ and MySQL 8.0.30+.
charset = "utf8mb3"
return {
"ci": f"{charset}_general_ci",
"non_default": f"{charset}_esperanto_ci",
"swedish_ci": f"{charset}_swedish_ci",
}
test_now_utc_template = "UTC_TIMESTAMP(6)"
@cached_property
def django_test_skips(self):
skips = {
"This doesn't work on MySQL.": {
"db_functions.comparison.test_greatest.GreatestTests."
"test_coalesce_workaround",
"db_functions.comparison.test_least.LeastTests."
"test_coalesce_workaround",
},
"Running on MySQL requires utf8mb4 encoding (#18392).": {
"model_fields.test_textfield.TextFieldTests.test_emoji",
"model_fields.test_charfield.TestCharField.test_emoji",
},
"MySQL doesn't support functional indexes on a function that "
"returns JSON": {
"schema.tests.SchemaTests.test_func_index_json_key_transform",
},
"MySQL supports multiplying and dividing DurationFields by a "
"scalar value but it's not implemented (#25287).": {
"expressions.tests.FTimeDeltaTests.test_durationfield_multiply_divide",
},
"UPDATE ... ORDER BY syntax on MySQL/MariaDB does not support ordering by"
"related fields.": {
"update.tests.AdvancedTests."
"test_update_ordered_by_inline_m2m_annotation",
"update.tests.AdvancedTests.test_update_ordered_by_m2m_annotation",
},
}
if self.connection.mysql_is_mariadb and (
10,
4,
3,
) < self.connection.mysql_version < (10, 5, 2):
skips.update(
{
"https://jira.mariadb.org/browse/MDEV-19598": {
"schema.tests.SchemaTests."
"test_alter_not_unique_field_to_primary_key",
},
}
)
if self.connection.mysql_is_mariadb and (
10,
4,
12,
) < self.connection.mysql_version < (10, 5):
skips.update(
{
"https://jira.mariadb.org/browse/MDEV-22775": {
"schema.tests.SchemaTests."
"test_alter_pk_with_self_referential_field",
},
}
)
if not self.supports_explain_analyze:
skips.update(
{
"MariaDB and MySQL >= 8.0.18 specific.": {
"queries.test_explain.ExplainTests.test_mysql_analyze",
},
}
)
if "ONLY_FULL_GROUP_BY" in self.connection.sql_mode:
skips.update(
{
"GROUP BY cannot contain nonaggregated column when "
"ONLY_FULL_GROUP_BY mode is enabled on MySQL, see #34262.": {
"aggregation.tests.AggregateTestCase."
"test_group_by_nested_expression_with_params",
},
}
)
if self.connection.mysql_is_mariadb and self.connection.mysql_version >= (
10,
5,
2,
):
skips.update(
{
"ALTER TABLE ... RENAME COLUMN statement doesn't rename inline "
"constraints on MariaDB 10.5.2+, this is fixed in Django 5.0+ "
"(#34320).": {
"schema.tests.SchemaTests."
"test_rename_field_with_check_to_truncated_name",
},
}
)
return skips
@cached_property
def _mysql_storage_engine(self):
"Internal method used in Django tests. Don't rely on this from your code"
return self.connection.mysql_server_data["default_storage_engine"]
@cached_property
def allows_auto_pk_0(self):
"""
Autoincrement primary key can be set to 0 if it doesn't generate new
autoincrement values.
"""
return "NO_AUTO_VALUE_ON_ZERO" in self.connection.sql_mode
@cached_property
def update_can_self_select(self):
return self.connection.mysql_is_mariadb and self.connection.mysql_version >= (
10,
3,
2,
)
@cached_property
def can_introspect_foreign_keys(self):
"Confirm support for introspected foreign keys"
return self._mysql_storage_engine != "MyISAM"
@cached_property
def introspected_field_types(self):
return {
**super().introspected_field_types,
"BinaryField": "TextField",
"BooleanField": "IntegerField",
"DurationField": "BigIntegerField",
"GenericIPAddressField": "CharField",
}
@cached_property
def can_return_columns_from_insert(self):
return self.connection.mysql_is_mariadb and self.connection.mysql_version >= (
10,
5,
0,
)
can_return_rows_from_bulk_insert = property(
operator.attrgetter("can_return_columns_from_insert")
)
@cached_property
def has_zoneinfo_database(self):
return self.connection.mysql_server_data["has_zoneinfo_database"]
@cached_property
def is_sql_auto_is_null_enabled(self):
return self.connection.mysql_server_data["sql_auto_is_null"]
@cached_property
def supports_over_clause(self):
if self.connection.mysql_is_mariadb:
return True
return self.connection.mysql_version >= (8, 0, 2)
supports_frame_range_fixed_distance = property(
operator.attrgetter("supports_over_clause")
)
@cached_property
def supports_column_check_constraints(self):
if self.connection.mysql_is_mariadb:
return True
return self.connection.mysql_version >= (8, 0, 16)
supports_table_check_constraints = property(
operator.attrgetter("supports_column_check_constraints")
)
@cached_property
def can_introspect_check_constraints(self):
if self.connection.mysql_is_mariadb:
return True
return self.connection.mysql_version >= (8, 0, 16)
@cached_property
def has_select_for_update_skip_locked(self):
if self.connection.mysql_is_mariadb:
return self.connection.mysql_version >= (10, 6)
return self.connection.mysql_version >= (8, 0, 1)
@cached_property
def has_select_for_update_nowait(self):
if self.connection.mysql_is_mariadb:
return True
return self.connection.mysql_version >= (8, 0, 1)
@cached_property
def has_select_for_update_of(self):
return (
not self.connection.mysql_is_mariadb
and self.connection.mysql_version >= (8, 0, 1)
)
@cached_property
def supports_explain_analyze(self):
return self.connection.mysql_is_mariadb or self.connection.mysql_version >= (
8,
0,
18,
)
@cached_property
def supported_explain_formats(self):
# Alias MySQL's TRADITIONAL to TEXT for consistency with other
# backends.
formats = {"JSON", "TEXT", "TRADITIONAL"}
if not self.connection.mysql_is_mariadb and self.connection.mysql_version >= (
8,
0,
16,
):
formats.add("TREE")
return formats
@cached_property
def supports_transactions(self):
"""
All storage engines except MyISAM support transactions.
"""
return self._mysql_storage_engine != "MyISAM"
uses_savepoints = property(operator.attrgetter("supports_transactions"))
can_release_savepoints = property(operator.attrgetter("supports_transactions"))
@cached_property
def ignores_table_name_case(self):
return self.connection.mysql_server_data["lower_case_table_names"]
@cached_property
def supports_default_in_lead_lag(self):
# To be added in https://jira.mariadb.org/browse/MDEV-12981.
return not self.connection.mysql_is_mariadb
@cached_property
def can_introspect_json_field(self):
if self.connection.mysql_is_mariadb:
return self.can_introspect_check_constraints
return True
@cached_property
def supports_index_column_ordering(self):
if self._mysql_storage_engine != "InnoDB":
return False
if self.connection.mysql_is_mariadb:
return self.connection.mysql_version >= (10, 8)
return self.connection.mysql_version >= (8, 0, 1)
@cached_property
def supports_expression_indexes(self):
return (
not self.connection.mysql_is_mariadb
and self._mysql_storage_engine != "MyISAM"
and self.connection.mysql_version >= (8, 0, 13)
)
@cached_property
def supports_select_intersection(self):
is_mariadb = self.connection.mysql_is_mariadb
return is_mariadb or self.connection.mysql_version >= (8, 0, 31)
supports_select_difference = property(
operator.attrgetter("supports_select_intersection")
)
@cached_property
def can_rename_index(self):
if self.connection.mysql_is_mariadb:
return self.connection.mysql_version >= (10, 5, 2)
return True

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from collections import namedtuple
import sqlparse
from MySQLdb.constants import FIELD_TYPE
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.introspection import FieldInfo as BaseFieldInfo
from django.db.backends.base.introspection import TableInfo as BaseTableInfo
from django.db.models import Index
from django.utils.datastructures import OrderedSet
FieldInfo = namedtuple(
"FieldInfo",
BaseFieldInfo._fields + ("extra", "is_unsigned", "has_json_constraint", "comment"),
)
InfoLine = namedtuple(
"InfoLine",
"col_name data_type max_len num_prec num_scale extra column_default "
"collation is_unsigned comment",
)
TableInfo = namedtuple("TableInfo", BaseTableInfo._fields + ("comment",))
class DatabaseIntrospection(BaseDatabaseIntrospection):
data_types_reverse = {
FIELD_TYPE.BLOB: "TextField",
FIELD_TYPE.CHAR: "CharField",
FIELD_TYPE.DECIMAL: "DecimalField",
FIELD_TYPE.NEWDECIMAL: "DecimalField",
FIELD_TYPE.DATE: "DateField",
FIELD_TYPE.DATETIME: "DateTimeField",
FIELD_TYPE.DOUBLE: "FloatField",
FIELD_TYPE.FLOAT: "FloatField",
FIELD_TYPE.INT24: "IntegerField",
FIELD_TYPE.JSON: "JSONField",
FIELD_TYPE.LONG: "IntegerField",
FIELD_TYPE.LONGLONG: "BigIntegerField",
FIELD_TYPE.SHORT: "SmallIntegerField",
FIELD_TYPE.STRING: "CharField",
FIELD_TYPE.TIME: "TimeField",
FIELD_TYPE.TIMESTAMP: "DateTimeField",
FIELD_TYPE.TINY: "IntegerField",
FIELD_TYPE.TINY_BLOB: "TextField",
FIELD_TYPE.MEDIUM_BLOB: "TextField",
FIELD_TYPE.LONG_BLOB: "TextField",
FIELD_TYPE.VAR_STRING: "CharField",
}
def get_field_type(self, data_type, description):
field_type = super().get_field_type(data_type, description)
if "auto_increment" in description.extra:
if field_type == "IntegerField":
return "AutoField"
elif field_type == "BigIntegerField":
return "BigAutoField"
elif field_type == "SmallIntegerField":
return "SmallAutoField"
if description.is_unsigned:
if field_type == "BigIntegerField":
return "PositiveBigIntegerField"
elif field_type == "IntegerField":
return "PositiveIntegerField"
elif field_type == "SmallIntegerField":
return "PositiveSmallIntegerField"
# JSON data type is an alias for LONGTEXT in MariaDB, use check
# constraints clauses to introspect JSONField.
if description.has_json_constraint:
return "JSONField"
return field_type
def get_table_list(self, cursor):
"""Return a list of table and view names in the current database."""
cursor.execute(
"""
SELECT
table_name,
table_type,
table_comment
FROM information_schema.tables
WHERE table_schema = DATABASE()
"""
)
return [
TableInfo(row[0], {"BASE TABLE": "t", "VIEW": "v"}.get(row[1]), row[2])
for row in cursor.fetchall()
]
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface."
"""
json_constraints = {}
if (
self.connection.mysql_is_mariadb
and self.connection.features.can_introspect_json_field
):
# JSON data type is an alias for LONGTEXT in MariaDB, select
# JSON_VALID() constraints to introspect JSONField.
cursor.execute(
"""
SELECT c.constraint_name AS column_name
FROM information_schema.check_constraints AS c
WHERE
c.table_name = %s AND
LOWER(c.check_clause) =
'json_valid(`' + LOWER(c.constraint_name) + '`)' AND
c.constraint_schema = DATABASE()
""",
[table_name],
)
json_constraints = {row[0] for row in cursor.fetchall()}
# A default collation for the given table.
cursor.execute(
"""
SELECT table_collation
FROM information_schema.tables
WHERE table_schema = DATABASE()
AND table_name = %s
""",
[table_name],
)
row = cursor.fetchone()
default_column_collation = row[0] if row else ""
# information_schema database gives more accurate results for some figures:
# - varchar length returned by cursor.description is an internal length,
# not visible length (#5725)
# - precision and scale (for decimal fields) (#5014)
# - auto_increment is not available in cursor.description
cursor.execute(
"""
SELECT
column_name, data_type, character_maximum_length,
numeric_precision, numeric_scale, extra, column_default,
CASE
WHEN collation_name = %s THEN NULL
ELSE collation_name
END AS collation_name,
CASE
WHEN column_type LIKE '%% unsigned' THEN 1
ELSE 0
END AS is_unsigned,
column_comment
FROM information_schema.columns
WHERE table_name = %s AND table_schema = DATABASE()
""",
[default_column_collation, table_name],
)
field_info = {line[0]: InfoLine(*line) for line in cursor.fetchall()}
cursor.execute(
"SELECT * FROM %s LIMIT 1" % self.connection.ops.quote_name(table_name)
)
def to_int(i):
return int(i) if i is not None else i
fields = []
for line in cursor.description:
info = field_info[line[0]]
fields.append(
FieldInfo(
*line[:2],
to_int(info.max_len) or line[2],
to_int(info.max_len) or line[3],
to_int(info.num_prec) or line[4],
to_int(info.num_scale) or line[5],
line[6],
info.column_default,
info.collation,
info.extra,
info.is_unsigned,
line[0] in json_constraints,
info.comment,
)
)
return fields
def get_sequences(self, cursor, table_name, table_fields=()):
for field_info in self.get_table_description(cursor, table_name):
if "auto_increment" in field_info.extra:
# MySQL allows only one auto-increment column per table.
return [{"table": table_name, "column": field_info.name}]
return []
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {field_name: (field_name_other_table, other_table)}
representing all foreign keys in the given table.
"""
cursor.execute(
"""
SELECT column_name, referenced_column_name, referenced_table_name
FROM information_schema.key_column_usage
WHERE table_name = %s
AND table_schema = DATABASE()
AND referenced_table_name IS NOT NULL
AND referenced_column_name IS NOT NULL
""",
[table_name],
)
return {
field_name: (other_field, other_table)
for field_name, other_field, other_table in cursor.fetchall()
}
def get_storage_engine(self, cursor, table_name):
"""
Retrieve the storage engine for a given table. Return the default
storage engine if the table doesn't exist.
"""
cursor.execute(
"""
SELECT engine
FROM information_schema.tables
WHERE
table_name = %s AND
table_schema = DATABASE()
""",
[table_name],
)
result = cursor.fetchone()
if not result:
return self.connection.features._mysql_storage_engine
return result[0]
def _parse_constraint_columns(self, check_clause, columns):
check_columns = OrderedSet()
statement = sqlparse.parse(check_clause)[0]
tokens = (token for token in statement.flatten() if not token.is_whitespace)
for token in tokens:
if (
token.ttype == sqlparse.tokens.Name
and self.connection.ops.quote_name(token.value) == token.value
and token.value[1:-1] in columns
):
check_columns.add(token.value[1:-1])
return check_columns
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index) across
one or more columns.
"""
constraints = {}
# Get the actual constraint names and columns
name_query = """
SELECT kc.`constraint_name`, kc.`column_name`,
kc.`referenced_table_name`, kc.`referenced_column_name`,
c.`constraint_type`
FROM
information_schema.key_column_usage AS kc,
information_schema.table_constraints AS c
WHERE
kc.table_schema = DATABASE() AND
c.table_schema = kc.table_schema AND
c.constraint_name = kc.constraint_name AND
c.constraint_type != 'CHECK' AND
kc.table_name = %s
ORDER BY kc.`ordinal_position`
"""
cursor.execute(name_query, [table_name])
for constraint, column, ref_table, ref_column, kind in cursor.fetchall():
if constraint not in constraints:
constraints[constraint] = {
"columns": OrderedSet(),
"primary_key": kind == "PRIMARY KEY",
"unique": kind in {"PRIMARY KEY", "UNIQUE"},
"index": False,
"check": False,
"foreign_key": (ref_table, ref_column) if ref_column else None,
}
if self.connection.features.supports_index_column_ordering:
constraints[constraint]["orders"] = []
constraints[constraint]["columns"].add(column)
# Add check constraints.
if self.connection.features.can_introspect_check_constraints:
unnamed_constraints_index = 0
columns = {
info.name for info in self.get_table_description(cursor, table_name)
}
if self.connection.mysql_is_mariadb:
type_query = """
SELECT c.constraint_name, c.check_clause
FROM information_schema.check_constraints AS c
WHERE
c.constraint_schema = DATABASE() AND
c.table_name = %s
"""
else:
type_query = """
SELECT cc.constraint_name, cc.check_clause
FROM
information_schema.check_constraints AS cc,
information_schema.table_constraints AS tc
WHERE
cc.constraint_schema = DATABASE() AND
tc.table_schema = cc.constraint_schema AND
cc.constraint_name = tc.constraint_name AND
tc.constraint_type = 'CHECK' AND
tc.table_name = %s
"""
cursor.execute(type_query, [table_name])
for constraint, check_clause in cursor.fetchall():
constraint_columns = self._parse_constraint_columns(
check_clause, columns
)
# Ensure uniqueness of unnamed constraints. Unnamed unique
# and check columns constraints have the same name as
# a column.
if set(constraint_columns) == {constraint}:
unnamed_constraints_index += 1
constraint = "__unnamed_constraint_%s__" % unnamed_constraints_index
constraints[constraint] = {
"columns": constraint_columns,
"primary_key": False,
"unique": False,
"index": False,
"check": True,
"foreign_key": None,
}
# Now add in the indexes
cursor.execute(
"SHOW INDEX FROM %s" % self.connection.ops.quote_name(table_name)
)
for table, non_unique, index, colseq, column, order, type_ in [
x[:6] + (x[10],) for x in cursor.fetchall()
]:
if index not in constraints:
constraints[index] = {
"columns": OrderedSet(),
"primary_key": False,
"unique": not non_unique,
"check": False,
"foreign_key": None,
}
if self.connection.features.supports_index_column_ordering:
constraints[index]["orders"] = []
constraints[index]["index"] = True
constraints[index]["type"] = (
Index.suffix if type_ == "BTREE" else type_.lower()
)
constraints[index]["columns"].add(column)
if self.connection.features.supports_index_column_ordering:
constraints[index]["orders"].append("DESC" if order == "D" else "ASC")
# Convert the sorted sets to lists
for constraint in constraints.values():
constraint["columns"] = list(constraint["columns"])
return constraints

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import uuid
from django.conf import settings
from django.db.backends.base.operations import BaseDatabaseOperations
from django.db.backends.utils import split_tzname_delta
from django.db.models import Exists, ExpressionWrapper, Lookup
from django.db.models.constants import OnConflict
from django.utils import timezone
from django.utils.encoding import force_str
from django.utils.regex_helper import _lazy_re_compile
class DatabaseOperations(BaseDatabaseOperations):
compiler_module = "django.db.backends.mysql.compiler"
# MySQL stores positive fields as UNSIGNED ints.
integer_field_ranges = {
**BaseDatabaseOperations.integer_field_ranges,
"PositiveSmallIntegerField": (0, 65535),
"PositiveIntegerField": (0, 4294967295),
"PositiveBigIntegerField": (0, 18446744073709551615),
}
cast_data_types = {
"AutoField": "signed integer",
"BigAutoField": "signed integer",
"SmallAutoField": "signed integer",
"CharField": "char(%(max_length)s)",
"DecimalField": "decimal(%(max_digits)s, %(decimal_places)s)",
"TextField": "char",
"IntegerField": "signed integer",
"BigIntegerField": "signed integer",
"SmallIntegerField": "signed integer",
"PositiveBigIntegerField": "unsigned integer",
"PositiveIntegerField": "unsigned integer",
"PositiveSmallIntegerField": "unsigned integer",
"DurationField": "signed integer",
}
cast_char_field_without_max_length = "char"
explain_prefix = "EXPLAIN"
# EXTRACT format cannot be passed in parameters.
_extract_format_re = _lazy_re_compile(r"[A-Z_]+")
def date_extract_sql(self, lookup_type, sql, params):
# https://dev.mysql.com/doc/mysql/en/date-and-time-functions.html
if lookup_type == "week_day":
# DAYOFWEEK() returns an integer, 1-7, Sunday=1.
return f"DAYOFWEEK({sql})", params
elif lookup_type == "iso_week_day":
# WEEKDAY() returns an integer, 0-6, Monday=0.
return f"WEEKDAY({sql}) + 1", params
elif lookup_type == "week":
# Override the value of default_week_format for consistency with
# other database backends.
# Mode 3: Monday, 1-53, with 4 or more days this year.
return f"WEEK({sql}, 3)", params
elif lookup_type == "iso_year":
# Get the year part from the YEARWEEK function, which returns a
# number as year * 100 + week.
return f"TRUNCATE(YEARWEEK({sql}, 3), -2) / 100", params
else:
# EXTRACT returns 1-53 based on ISO-8601 for the week number.
lookup_type = lookup_type.upper()
if not self._extract_format_re.fullmatch(lookup_type):
raise ValueError(f"Invalid loookup type: {lookup_type!r}")
return f"EXTRACT({lookup_type} FROM {sql})", params
def date_trunc_sql(self, lookup_type, sql, params, tzname=None):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
fields = {
"year": "%Y-01-01",
"month": "%Y-%m-01",
}
if lookup_type in fields:
format_str = fields[lookup_type]
return f"CAST(DATE_FORMAT({sql}, %s) AS DATE)", (*params, format_str)
elif lookup_type == "quarter":
return (
f"MAKEDATE(YEAR({sql}), 1) + "
f"INTERVAL QUARTER({sql}) QUARTER - INTERVAL 1 QUARTER",
(*params, *params),
)
elif lookup_type == "week":
return f"DATE_SUB({sql}, INTERVAL WEEKDAY({sql}) DAY)", (*params, *params)
else:
return f"DATE({sql})", params
def _prepare_tzname_delta(self, tzname):
tzname, sign, offset = split_tzname_delta(tzname)
return f"{sign}{offset}" if offset else tzname
def _convert_sql_to_tz(self, sql, params, tzname):
if tzname and settings.USE_TZ and self.connection.timezone_name != tzname:
return f"CONVERT_TZ({sql}, %s, %s)", (
*params,
self.connection.timezone_name,
self._prepare_tzname_delta(tzname),
)
return sql, params
def datetime_cast_date_sql(self, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"DATE({sql})", params
def datetime_cast_time_sql(self, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"TIME({sql})", params
def datetime_extract_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return self.date_extract_sql(lookup_type, sql, params)
def datetime_trunc_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
fields = ["year", "month", "day", "hour", "minute", "second"]
format = ("%Y-", "%m", "-%d", " %H:", "%i", ":%s")
format_def = ("0000-", "01", "-01", " 00:", "00", ":00")
if lookup_type == "quarter":
return (
f"CAST(DATE_FORMAT(MAKEDATE(YEAR({sql}), 1) + "
f"INTERVAL QUARTER({sql}) QUARTER - "
f"INTERVAL 1 QUARTER, %s) AS DATETIME)"
), (*params, *params, "%Y-%m-01 00:00:00")
if lookup_type == "week":
return (
f"CAST(DATE_FORMAT("
f"DATE_SUB({sql}, INTERVAL WEEKDAY({sql}) DAY), %s) AS DATETIME)"
), (*params, *params, "%Y-%m-%d 00:00:00")
try:
i = fields.index(lookup_type) + 1
except ValueError:
pass
else:
format_str = "".join(format[:i] + format_def[i:])
return f"CAST(DATE_FORMAT({sql}, %s) AS DATETIME)", (*params, format_str)
return sql, params
def time_trunc_sql(self, lookup_type, sql, params, tzname=None):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
fields = {
"hour": "%H:00:00",
"minute": "%H:%i:00",
"second": "%H:%i:%s",
}
if lookup_type in fields:
format_str = fields[lookup_type]
return f"CAST(DATE_FORMAT({sql}, %s) AS TIME)", (*params, format_str)
else:
return f"TIME({sql})", params
def fetch_returned_insert_rows(self, cursor):
"""
Given a cursor object that has just performed an INSERT...RETURNING
statement into a table, return the tuple of returned data.
"""
return cursor.fetchall()
def format_for_duration_arithmetic(self, sql):
return "INTERVAL %s MICROSECOND" % sql
def force_no_ordering(self):
"""
"ORDER BY NULL" prevents MySQL from implicitly ordering by grouped
columns. If no ordering would otherwise be applied, we don't want any
implicit sorting going on.
"""
return [(None, ("NULL", [], False))]
def adapt_decimalfield_value(self, value, max_digits=None, decimal_places=None):
return value
def last_executed_query(self, cursor, sql, params):
# With MySQLdb, cursor objects have an (undocumented) "_executed"
# attribute where the exact query sent to the database is saved.
# See MySQLdb/cursors.py in the source distribution.
# MySQLdb returns string, PyMySQL bytes.
return force_str(getattr(cursor, "_executed", None), errors="replace")
def no_limit_value(self):
# 2**64 - 1, as recommended by the MySQL documentation
return 18446744073709551615
def quote_name(self, name):
if name.startswith("`") and name.endswith("`"):
return name # Quoting once is enough.
return "`%s`" % name
def return_insert_columns(self, fields):
# MySQL and MariaDB < 10.5.0 don't support an INSERT...RETURNING
# statement.
if not fields:
return "", ()
columns = [
"%s.%s"
% (
self.quote_name(field.model._meta.db_table),
self.quote_name(field.column),
)
for field in fields
]
return "RETURNING %s" % ", ".join(columns), ()
def sql_flush(self, style, tables, *, reset_sequences=False, allow_cascade=False):
if not tables:
return []
sql = ["SET FOREIGN_KEY_CHECKS = 0;"]
if reset_sequences:
# It's faster to TRUNCATE tables that require a sequence reset
# since ALTER TABLE AUTO_INCREMENT is slower than TRUNCATE.
sql.extend(
"%s %s;"
% (
style.SQL_KEYWORD("TRUNCATE"),
style.SQL_FIELD(self.quote_name(table_name)),
)
for table_name in tables
)
else:
# Otherwise issue a simple DELETE since it's faster than TRUNCATE
# and preserves sequences.
sql.extend(
"%s %s %s;"
% (
style.SQL_KEYWORD("DELETE"),
style.SQL_KEYWORD("FROM"),
style.SQL_FIELD(self.quote_name(table_name)),
)
for table_name in tables
)
sql.append("SET FOREIGN_KEY_CHECKS = 1;")
return sql
def sequence_reset_by_name_sql(self, style, sequences):
return [
"%s %s %s %s = 1;"
% (
style.SQL_KEYWORD("ALTER"),
style.SQL_KEYWORD("TABLE"),
style.SQL_FIELD(self.quote_name(sequence_info["table"])),
style.SQL_FIELD("AUTO_INCREMENT"),
)
for sequence_info in sequences
]
def validate_autopk_value(self, value):
# Zero in AUTO_INCREMENT field does not work without the
# NO_AUTO_VALUE_ON_ZERO SQL mode.
if value == 0 and not self.connection.features.allows_auto_pk_0:
raise ValueError(
"The database backend does not accept 0 as a value for AutoField."
)
return value
def adapt_datetimefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# MySQL doesn't support tz-aware datetimes
if timezone.is_aware(value):
if settings.USE_TZ:
value = timezone.make_naive(value, self.connection.timezone)
else:
raise ValueError(
"MySQL backend does not support timezone-aware datetimes when "
"USE_TZ is False."
)
return str(value)
def adapt_timefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# MySQL doesn't support tz-aware times
if timezone.is_aware(value):
raise ValueError("MySQL backend does not support timezone-aware times.")
return value.isoformat(timespec="microseconds")
def max_name_length(self):
return 64
def pk_default_value(self):
return "NULL"
def bulk_insert_sql(self, fields, placeholder_rows):
placeholder_rows_sql = (", ".join(row) for row in placeholder_rows)
values_sql = ", ".join("(%s)" % sql for sql in placeholder_rows_sql)
return "VALUES " + values_sql
def combine_expression(self, connector, sub_expressions):
if connector == "^":
return "POW(%s)" % ",".join(sub_expressions)
# Convert the result to a signed integer since MySQL's binary operators
# return an unsigned integer.
elif connector in ("&", "|", "<<", "#"):
connector = "^" if connector == "#" else connector
return "CONVERT(%s, SIGNED)" % connector.join(sub_expressions)
elif connector == ">>":
lhs, rhs = sub_expressions
return "FLOOR(%(lhs)s / POW(2, %(rhs)s))" % {"lhs": lhs, "rhs": rhs}
return super().combine_expression(connector, sub_expressions)
def get_db_converters(self, expression):
converters = super().get_db_converters(expression)
internal_type = expression.output_field.get_internal_type()
if internal_type == "BooleanField":
converters.append(self.convert_booleanfield_value)
elif internal_type == "DateTimeField":
if settings.USE_TZ:
converters.append(self.convert_datetimefield_value)
elif internal_type == "UUIDField":
converters.append(self.convert_uuidfield_value)
return converters
def convert_booleanfield_value(self, value, expression, connection):
if value in (0, 1):
value = bool(value)
return value
def convert_datetimefield_value(self, value, expression, connection):
if value is not None:
value = timezone.make_aware(value, self.connection.timezone)
return value
def convert_uuidfield_value(self, value, expression, connection):
if value is not None:
value = uuid.UUID(value)
return value
def binary_placeholder_sql(self, value):
return (
"_binary %s" if value is not None and not hasattr(value, "as_sql") else "%s"
)
def subtract_temporals(self, internal_type, lhs, rhs):
lhs_sql, lhs_params = lhs
rhs_sql, rhs_params = rhs
if internal_type == "TimeField":
if self.connection.mysql_is_mariadb:
# MariaDB includes the microsecond component in TIME_TO_SEC as
# a decimal. MySQL returns an integer without microseconds.
return (
"CAST((TIME_TO_SEC(%(lhs)s) - TIME_TO_SEC(%(rhs)s)) "
"* 1000000 AS SIGNED)"
) % {
"lhs": lhs_sql,
"rhs": rhs_sql,
}, (
*lhs_params,
*rhs_params,
)
return (
"((TIME_TO_SEC(%(lhs)s) * 1000000 + MICROSECOND(%(lhs)s)) -"
" (TIME_TO_SEC(%(rhs)s) * 1000000 + MICROSECOND(%(rhs)s)))"
) % {"lhs": lhs_sql, "rhs": rhs_sql}, tuple(lhs_params) * 2 + tuple(
rhs_params
) * 2
params = (*rhs_params, *lhs_params)
return "TIMESTAMPDIFF(MICROSECOND, %s, %s)" % (rhs_sql, lhs_sql), params
def explain_query_prefix(self, format=None, **options):
# Alias MySQL's TRADITIONAL to TEXT for consistency with other backends.
if format and format.upper() == "TEXT":
format = "TRADITIONAL"
elif (
not format and "TREE" in self.connection.features.supported_explain_formats
):
# Use TREE by default (if supported) as it's more informative.
format = "TREE"
analyze = options.pop("analyze", False)
prefix = super().explain_query_prefix(format, **options)
if analyze and self.connection.features.supports_explain_analyze:
# MariaDB uses ANALYZE instead of EXPLAIN ANALYZE.
prefix = (
"ANALYZE" if self.connection.mysql_is_mariadb else prefix + " ANALYZE"
)
if format and not (analyze and not self.connection.mysql_is_mariadb):
# Only MariaDB supports the analyze option with formats.
prefix += " FORMAT=%s" % format
return prefix
def regex_lookup(self, lookup_type):
# REGEXP_LIKE doesn't exist in MariaDB.
if self.connection.mysql_is_mariadb:
if lookup_type == "regex":
return "%s REGEXP BINARY %s"
return "%s REGEXP %s"
match_option = "c" if lookup_type == "regex" else "i"
return "REGEXP_LIKE(%%s, %%s, '%s')" % match_option
def insert_statement(self, on_conflict=None):
if on_conflict == OnConflict.IGNORE:
return "INSERT IGNORE INTO"
return super().insert_statement(on_conflict=on_conflict)
def lookup_cast(self, lookup_type, internal_type=None):
lookup = "%s"
if internal_type == "JSONField":
if self.connection.mysql_is_mariadb or lookup_type in (
"iexact",
"contains",
"icontains",
"startswith",
"istartswith",
"endswith",
"iendswith",
"regex",
"iregex",
):
lookup = "JSON_UNQUOTE(%s)"
return lookup
def conditional_expression_supported_in_where_clause(self, expression):
# MySQL ignores indexes with boolean fields unless they're compared
# directly to a boolean value.
if isinstance(expression, (Exists, Lookup)):
return True
if isinstance(expression, ExpressionWrapper) and expression.conditional:
return self.conditional_expression_supported_in_where_clause(
expression.expression
)
if getattr(expression, "conditional", False):
return False
return super().conditional_expression_supported_in_where_clause(expression)
def on_conflict_suffix_sql(self, fields, on_conflict, update_fields, unique_fields):
if on_conflict == OnConflict.UPDATE:
conflict_suffix_sql = "ON DUPLICATE KEY UPDATE %(fields)s"
# The use of VALUES() is deprecated in MySQL 8.0.20+. Instead, use
# aliases for the new row and its columns available in MySQL
# 8.0.19+.
if not self.connection.mysql_is_mariadb:
if self.connection.mysql_version >= (8, 0, 19):
conflict_suffix_sql = f"AS new {conflict_suffix_sql}"
field_sql = "%(field)s = new.%(field)s"
else:
field_sql = "%(field)s = VALUES(%(field)s)"
# Use VALUE() on MariaDB.
else:
field_sql = "%(field)s = VALUE(%(field)s)"
fields = ", ".join(
[
field_sql % {"field": field}
for field in map(self.quote_name, update_fields)
]
)
return conflict_suffix_sql % {"fields": fields}
return super().on_conflict_suffix_sql(
fields,
on_conflict,
update_fields,
unique_fields,
)

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from django.db.backends.base.schema import BaseDatabaseSchemaEditor
from django.db.models import NOT_PROVIDED, F, UniqueConstraint
from django.db.models.constants import LOOKUP_SEP
class DatabaseSchemaEditor(BaseDatabaseSchemaEditor):
sql_rename_table = "RENAME TABLE %(old_table)s TO %(new_table)s"
sql_alter_column_null = "MODIFY %(column)s %(type)s NULL"
sql_alter_column_not_null = "MODIFY %(column)s %(type)s NOT NULL"
sql_alter_column_type = "MODIFY %(column)s %(type)s%(collation)s%(comment)s"
sql_alter_column_no_default_null = "ALTER COLUMN %(column)s SET DEFAULT NULL"
# No 'CASCADE' which works as a no-op in MySQL but is undocumented
sql_delete_column = "ALTER TABLE %(table)s DROP COLUMN %(column)s"
sql_delete_unique = "ALTER TABLE %(table)s DROP INDEX %(name)s"
sql_create_column_inline_fk = (
", ADD CONSTRAINT %(name)s FOREIGN KEY (%(column)s) "
"REFERENCES %(to_table)s(%(to_column)s)"
)
sql_delete_fk = "ALTER TABLE %(table)s DROP FOREIGN KEY %(name)s"
sql_delete_index = "DROP INDEX %(name)s ON %(table)s"
sql_rename_index = "ALTER TABLE %(table)s RENAME INDEX %(old_name)s TO %(new_name)s"
sql_create_pk = (
"ALTER TABLE %(table)s ADD CONSTRAINT %(name)s PRIMARY KEY (%(columns)s)"
)
sql_delete_pk = "ALTER TABLE %(table)s DROP PRIMARY KEY"
sql_create_index = "CREATE INDEX %(name)s ON %(table)s (%(columns)s)%(extra)s"
sql_alter_table_comment = "ALTER TABLE %(table)s COMMENT = %(comment)s"
sql_alter_column_comment = None
@property
def sql_delete_check(self):
if self.connection.mysql_is_mariadb:
# The name of the column check constraint is the same as the field
# name on MariaDB. Adding IF EXISTS clause prevents migrations
# crash. Constraint is removed during a "MODIFY" column statement.
return "ALTER TABLE %(table)s DROP CONSTRAINT IF EXISTS %(name)s"
return "ALTER TABLE %(table)s DROP CHECK %(name)s"
@property
def sql_rename_column(self):
# MariaDB >= 10.5.2 and MySQL >= 8.0.4 support an
# "ALTER TABLE ... RENAME COLUMN" statement.
if self.connection.mysql_is_mariadb:
if self.connection.mysql_version >= (10, 5, 2):
return super().sql_rename_column
elif self.connection.mysql_version >= (8, 0, 4):
return super().sql_rename_column
return "ALTER TABLE %(table)s CHANGE %(old_column)s %(new_column)s %(type)s"
def quote_value(self, value):
self.connection.ensure_connection()
if isinstance(value, str):
value = value.replace("%", "%%")
# MySQLdb escapes to string, PyMySQL to bytes.
quoted = self.connection.connection.escape(
value, self.connection.connection.encoders
)
if isinstance(value, str) and isinstance(quoted, bytes):
quoted = quoted.decode()
return quoted
def _is_limited_data_type(self, field):
db_type = field.db_type(self.connection)
return (
db_type is not None
and db_type.lower() in self.connection._limited_data_types
)
def skip_default(self, field):
if not self._supports_limited_data_type_defaults:
return self._is_limited_data_type(field)
return False
def skip_default_on_alter(self, field):
if self._is_limited_data_type(field) and not self.connection.mysql_is_mariadb:
# MySQL doesn't support defaults for BLOB and TEXT in the
# ALTER COLUMN statement.
return True
return False
@property
def _supports_limited_data_type_defaults(self):
# MariaDB and MySQL >= 8.0.13 support defaults for BLOB and TEXT.
if self.connection.mysql_is_mariadb:
return True
return self.connection.mysql_version >= (8, 0, 13)
def _column_default_sql(self, field):
if (
not self.connection.mysql_is_mariadb
and self._supports_limited_data_type_defaults
and self._is_limited_data_type(field)
):
# MySQL supports defaults for BLOB and TEXT columns only if the
# default value is written as an expression i.e. in parentheses.
return "(%s)"
return super()._column_default_sql(field)
def add_field(self, model, field):
super().add_field(model, field)
# Simulate the effect of a one-off default.
# field.default may be unhashable, so a set isn't used for "in" check.
if self.skip_default(field) and field.default not in (None, NOT_PROVIDED):
effective_default = self.effective_default(field)
self.execute(
"UPDATE %(table)s SET %(column)s = %%s"
% {
"table": self.quote_name(model._meta.db_table),
"column": self.quote_name(field.column),
},
[effective_default],
)
def remove_constraint(self, model, constraint):
if (
isinstance(constraint, UniqueConstraint)
and constraint.create_sql(model, self) is not None
):
self._create_missing_fk_index(
model,
fields=constraint.fields,
expressions=constraint.expressions,
)
super().remove_constraint(model, constraint)
def remove_index(self, model, index):
self._create_missing_fk_index(
model,
fields=[field_name for field_name, _ in index.fields_orders],
expressions=index.expressions,
)
super().remove_index(model, index)
def _field_should_be_indexed(self, model, field):
if not super()._field_should_be_indexed(model, field):
return False
storage = self.connection.introspection.get_storage_engine(
self.connection.cursor(), model._meta.db_table
)
# No need to create an index for ForeignKey fields except if
# db_constraint=False because the index from that constraint won't be
# created.
if (
storage == "InnoDB"
and field.get_internal_type() == "ForeignKey"
and field.db_constraint
):
return False
return not self._is_limited_data_type(field)
def _create_missing_fk_index(
self,
model,
*,
fields,
expressions=None,
):
"""
MySQL can remove an implicit FK index on a field when that field is
covered by another index like a unique_together. "covered" here means
that the more complex index has the FK field as its first field (see
https://bugs.mysql.com/bug.php?id=37910).
Manually create an implicit FK index to make it possible to remove the
composed index.
"""
first_field_name = None
if fields:
first_field_name = fields[0]
elif (
expressions
and self.connection.features.supports_expression_indexes
and isinstance(expressions[0], F)
and LOOKUP_SEP not in expressions[0].name
):
first_field_name = expressions[0].name
if not first_field_name:
return
first_field = model._meta.get_field(first_field_name)
if first_field.get_internal_type() == "ForeignKey":
column = self.connection.introspection.identifier_converter(
first_field.column
)
with self.connection.cursor() as cursor:
constraint_names = [
name
for name, infodict in self.connection.introspection.get_constraints(
cursor, model._meta.db_table
).items()
if infodict["index"] and infodict["columns"][0] == column
]
# There are no other indexes that starts with the FK field, only
# the index that is expected to be deleted.
if len(constraint_names) == 1:
self.execute(
self._create_index_sql(model, fields=[first_field], suffix="")
)
def _delete_composed_index(self, model, fields, *args):
self._create_missing_fk_index(model, fields=fields)
return super()._delete_composed_index(model, fields, *args)
def _set_field_new_type_null_status(self, field, new_type):
"""
Keep the null property of the old field. If it has changed, it will be
handled separately.
"""
if field.null:
new_type += " NULL"
else:
new_type += " NOT NULL"
return new_type
def _alter_column_type_sql(
self, model, old_field, new_field, new_type, old_collation, new_collation
):
new_type = self._set_field_new_type_null_status(old_field, new_type)
return super()._alter_column_type_sql(
model, old_field, new_field, new_type, old_collation, new_collation
)
def _rename_field_sql(self, table, old_field, new_field, new_type):
new_type = self._set_field_new_type_null_status(old_field, new_type)
return super()._rename_field_sql(table, old_field, new_field, new_type)
def _alter_column_comment_sql(self, model, new_field, new_type, new_db_comment):
# Comment is alter when altering the column type.
return "", []
def _comment_sql(self, comment):
comment_sql = super()._comment_sql(comment)
return f" COMMENT {comment_sql}"

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from django.core import checks
from django.db.backends.base.validation import BaseDatabaseValidation
from django.utils.version import get_docs_version
class DatabaseValidation(BaseDatabaseValidation):
def check(self, **kwargs):
issues = super().check(**kwargs)
issues.extend(self._check_sql_mode(**kwargs))
return issues
def _check_sql_mode(self, **kwargs):
if not (
self.connection.sql_mode & {"STRICT_TRANS_TABLES", "STRICT_ALL_TABLES"}
):
return [
checks.Warning(
"%s Strict Mode is not set for database connection '%s'"
% (self.connection.display_name, self.connection.alias),
hint=(
"%s's Strict Mode fixes many data integrity problems in "
"%s, such as data truncation upon insertion, by "
"escalating warnings into errors. It is strongly "
"recommended you activate it. See: "
"https://docs.djangoproject.com/en/%s/ref/databases/"
"#mysql-sql-mode"
% (
self.connection.display_name,
self.connection.display_name,
get_docs_version(),
),
),
id="mysql.W002",
)
]
return []
def check_field_type(self, field, field_type):
"""
MySQL has the following field length restriction:
No character (varchar) fields can have a length exceeding 255
characters if they have a unique index on them.
MySQL doesn't support a database index on some data types.
"""
errors = []
if (
field_type.startswith("varchar")
and field.unique
and (field.max_length is None or int(field.max_length) > 255)
):
errors.append(
checks.Warning(
"%s may not allow unique CharFields to have a max_length "
"> 255." % self.connection.display_name,
obj=field,
hint=(
"See: https://docs.djangoproject.com/en/%s/ref/"
"databases/#mysql-character-fields" % get_docs_version()
),
id="mysql.W003",
)
)
if field.db_index and field_type.lower() in self.connection._limited_data_types:
errors.append(
checks.Warning(
"%s does not support a database index on %s columns."
% (self.connection.display_name, field_type),
hint=(
"An index won't be created. Silence this warning if "
"you don't care about it."
),
obj=field,
id="fields.W162",
)
)
return errors

0
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"""
Oracle database backend for Django.
Requires cx_Oracle: https://oracle.github.io/python-cx_Oracle/
"""
import datetime
import decimal
import os
import platform
from contextlib import contextmanager
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db import IntegrityError
from django.db.backends.base.base import BaseDatabaseWrapper
from django.db.backends.utils import debug_transaction
from django.utils.asyncio import async_unsafe
from django.utils.encoding import force_bytes, force_str
from django.utils.functional import cached_property
def _setup_environment(environ):
# Cygwin requires some special voodoo to set the environment variables
# properly so that Oracle will see them.
if platform.system().upper().startswith("CYGWIN"):
try:
import ctypes
except ImportError as e:
raise ImproperlyConfigured(
"Error loading ctypes: %s; "
"the Oracle backend requires ctypes to "
"operate correctly under Cygwin." % e
)
kernel32 = ctypes.CDLL("kernel32")
for name, value in environ:
kernel32.SetEnvironmentVariableA(name, value)
else:
os.environ.update(environ)
_setup_environment(
[
# Oracle takes client-side character set encoding from the environment.
("NLS_LANG", ".AL32UTF8"),
# This prevents Unicode from getting mangled by getting encoded into the
# potentially non-Unicode database character set.
("ORA_NCHAR_LITERAL_REPLACE", "TRUE"),
]
)
try:
import cx_Oracle as Database
except ImportError as e:
raise ImproperlyConfigured("Error loading cx_Oracle module: %s" % e)
# Some of these import cx_Oracle, so import them after checking if it's installed.
from .client import DatabaseClient # NOQA
from .creation import DatabaseCreation # NOQA
from .features import DatabaseFeatures # NOQA
from .introspection import DatabaseIntrospection # NOQA
from .operations import DatabaseOperations # NOQA
from .schema import DatabaseSchemaEditor # NOQA
from .utils import Oracle_datetime, dsn # NOQA
from .validation import DatabaseValidation # NOQA
@contextmanager
def wrap_oracle_errors():
try:
yield
except Database.DatabaseError as e:
# cx_Oracle raises a cx_Oracle.DatabaseError exception with the
# following attributes and values:
# code = 2091
# message = 'ORA-02091: transaction rolled back
# 'ORA-02291: integrity constraint (TEST_DJANGOTEST.SYS
# _C00102056) violated - parent key not found'
# or:
# 'ORA-00001: unique constraint (DJANGOTEST.DEFERRABLE_
# PINK_CONSTRAINT) violated
# Convert that case to Django's IntegrityError exception.
x = e.args[0]
if (
hasattr(x, "code")
and hasattr(x, "message")
and x.code == 2091
and ("ORA-02291" in x.message or "ORA-00001" in x.message)
):
raise IntegrityError(*tuple(e.args))
raise
class _UninitializedOperatorsDescriptor:
def __get__(self, instance, cls=None):
# If connection.operators is looked up before a connection has been
# created, transparently initialize connection.operators to avert an
# AttributeError.
if instance is None:
raise AttributeError("operators not available as class attribute")
# Creating a cursor will initialize the operators.
instance.cursor().close()
return instance.__dict__["operators"]
class DatabaseWrapper(BaseDatabaseWrapper):
vendor = "oracle"
display_name = "Oracle"
# This dictionary maps Field objects to their associated Oracle column
# types, as strings. Column-type strings can contain format strings; they'll
# be interpolated against the values of Field.__dict__ before being output.
# If a column type is set to None, it won't be included in the output.
#
# Any format strings starting with "qn_" are quoted before being used in the
# output (the "qn_" prefix is stripped before the lookup is performed.
data_types = {
"AutoField": "NUMBER(11) GENERATED BY DEFAULT ON NULL AS IDENTITY",
"BigAutoField": "NUMBER(19) GENERATED BY DEFAULT ON NULL AS IDENTITY",
"BinaryField": "BLOB",
"BooleanField": "NUMBER(1)",
"CharField": "NVARCHAR2(%(max_length)s)",
"DateField": "DATE",
"DateTimeField": "TIMESTAMP",
"DecimalField": "NUMBER(%(max_digits)s, %(decimal_places)s)",
"DurationField": "INTERVAL DAY(9) TO SECOND(6)",
"FileField": "NVARCHAR2(%(max_length)s)",
"FilePathField": "NVARCHAR2(%(max_length)s)",
"FloatField": "DOUBLE PRECISION",
"IntegerField": "NUMBER(11)",
"JSONField": "NCLOB",
"BigIntegerField": "NUMBER(19)",
"IPAddressField": "VARCHAR2(15)",
"GenericIPAddressField": "VARCHAR2(39)",
"OneToOneField": "NUMBER(11)",
"PositiveBigIntegerField": "NUMBER(19)",
"PositiveIntegerField": "NUMBER(11)",
"PositiveSmallIntegerField": "NUMBER(11)",
"SlugField": "NVARCHAR2(%(max_length)s)",
"SmallAutoField": "NUMBER(5) GENERATED BY DEFAULT ON NULL AS IDENTITY",
"SmallIntegerField": "NUMBER(11)",
"TextField": "NCLOB",
"TimeField": "TIMESTAMP",
"URLField": "VARCHAR2(%(max_length)s)",
"UUIDField": "VARCHAR2(32)",
}
data_type_check_constraints = {
"BooleanField": "%(qn_column)s IN (0,1)",
"JSONField": "%(qn_column)s IS JSON",
"PositiveBigIntegerField": "%(qn_column)s >= 0",
"PositiveIntegerField": "%(qn_column)s >= 0",
"PositiveSmallIntegerField": "%(qn_column)s >= 0",
}
# Oracle doesn't support a database index on these columns.
_limited_data_types = ("clob", "nclob", "blob")
operators = _UninitializedOperatorsDescriptor()
_standard_operators = {
"exact": "= %s",
"iexact": "= UPPER(%s)",
"contains": (
"LIKE TRANSLATE(%s USING NCHAR_CS) ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
"icontains": (
"LIKE UPPER(TRANSLATE(%s USING NCHAR_CS)) "
"ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
"gt": "> %s",
"gte": ">= %s",
"lt": "< %s",
"lte": "<= %s",
"startswith": (
"LIKE TRANSLATE(%s USING NCHAR_CS) ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
"endswith": (
"LIKE TRANSLATE(%s USING NCHAR_CS) ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
"istartswith": (
"LIKE UPPER(TRANSLATE(%s USING NCHAR_CS)) "
"ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
"iendswith": (
"LIKE UPPER(TRANSLATE(%s USING NCHAR_CS)) "
"ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
),
}
_likec_operators = {
**_standard_operators,
"contains": "LIKEC %s ESCAPE '\\'",
"icontains": "LIKEC UPPER(%s) ESCAPE '\\'",
"startswith": "LIKEC %s ESCAPE '\\'",
"endswith": "LIKEC %s ESCAPE '\\'",
"istartswith": "LIKEC UPPER(%s) ESCAPE '\\'",
"iendswith": "LIKEC UPPER(%s) ESCAPE '\\'",
}
# The patterns below are used to generate SQL pattern lookup clauses when
# the right-hand side of the lookup isn't a raw string (it might be an expression
# or the result of a bilateral transformation).
# In those cases, special characters for LIKE operators (e.g. \, %, _)
# should be escaped on the database side.
#
# Note: we use str.format() here for readability as '%' is used as a wildcard for
# the LIKE operator.
pattern_esc = r"REPLACE(REPLACE(REPLACE({}, '\', '\\'), '%%', '\%%'), '_', '\_')"
_pattern_ops = {
"contains": "'%%' || {} || '%%'",
"icontains": "'%%' || UPPER({}) || '%%'",
"startswith": "{} || '%%'",
"istartswith": "UPPER({}) || '%%'",
"endswith": "'%%' || {}",
"iendswith": "'%%' || UPPER({})",
}
_standard_pattern_ops = {
k: "LIKE TRANSLATE( " + v + " USING NCHAR_CS)"
" ESCAPE TRANSLATE('\\' USING NCHAR_CS)"
for k, v in _pattern_ops.items()
}
_likec_pattern_ops = {
k: "LIKEC " + v + " ESCAPE '\\'" for k, v in _pattern_ops.items()
}
Database = Database
SchemaEditorClass = DatabaseSchemaEditor
# Classes instantiated in __init__().
client_class = DatabaseClient
creation_class = DatabaseCreation
features_class = DatabaseFeatures
introspection_class = DatabaseIntrospection
ops_class = DatabaseOperations
validation_class = DatabaseValidation
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
use_returning_into = self.settings_dict["OPTIONS"].get(
"use_returning_into", True
)
self.features.can_return_columns_from_insert = use_returning_into
def get_database_version(self):
return self.oracle_version
def get_connection_params(self):
conn_params = self.settings_dict["OPTIONS"].copy()
if "use_returning_into" in conn_params:
del conn_params["use_returning_into"]
return conn_params
@async_unsafe
def get_new_connection(self, conn_params):
return Database.connect(
user=self.settings_dict["USER"],
password=self.settings_dict["PASSWORD"],
dsn=dsn(self.settings_dict),
**conn_params,
)
def init_connection_state(self):
super().init_connection_state()
cursor = self.create_cursor()
# Set the territory first. The territory overrides NLS_DATE_FORMAT
# and NLS_TIMESTAMP_FORMAT to the territory default. When all of
# these are set in single statement it isn't clear what is supposed
# to happen.
cursor.execute("ALTER SESSION SET NLS_TERRITORY = 'AMERICA'")
# Set Oracle date to ANSI date format. This only needs to execute
# once when we create a new connection. We also set the Territory
# to 'AMERICA' which forces Sunday to evaluate to a '1' in
# TO_CHAR().
cursor.execute(
"ALTER SESSION SET NLS_DATE_FORMAT = 'YYYY-MM-DD HH24:MI:SS'"
" NLS_TIMESTAMP_FORMAT = 'YYYY-MM-DD HH24:MI:SS.FF'"
+ (" TIME_ZONE = 'UTC'" if settings.USE_TZ else "")
)
cursor.close()
if "operators" not in self.__dict__:
# Ticket #14149: Check whether our LIKE implementation will
# work for this connection or we need to fall back on LIKEC.
# This check is performed only once per DatabaseWrapper
# instance per thread, since subsequent connections will use
# the same settings.
cursor = self.create_cursor()
try:
cursor.execute(
"SELECT 1 FROM DUAL WHERE DUMMY %s"
% self._standard_operators["contains"],
["X"],
)
except Database.DatabaseError:
self.operators = self._likec_operators
self.pattern_ops = self._likec_pattern_ops
else:
self.operators = self._standard_operators
self.pattern_ops = self._standard_pattern_ops
cursor.close()
self.connection.stmtcachesize = 20
# Ensure all changes are preserved even when AUTOCOMMIT is False.
if not self.get_autocommit():
self.commit()
@async_unsafe
def create_cursor(self, name=None):
return FormatStylePlaceholderCursor(self.connection)
def _commit(self):
if self.connection is not None:
with debug_transaction(self, "COMMIT"), wrap_oracle_errors():
return self.connection.commit()
# Oracle doesn't support releasing savepoints. But we fake them when query
# logging is enabled to keep query counts consistent with other backends.
def _savepoint_commit(self, sid):
if self.queries_logged:
self.queries_log.append(
{
"sql": "-- RELEASE SAVEPOINT %s (faked)" % self.ops.quote_name(sid),
"time": "0.000",
}
)
def _set_autocommit(self, autocommit):
with self.wrap_database_errors:
self.connection.autocommit = autocommit
def check_constraints(self, table_names=None):
"""
Check constraints by setting them to immediate. Return them to deferred
afterward.
"""
with self.cursor() as cursor:
cursor.execute("SET CONSTRAINTS ALL IMMEDIATE")
cursor.execute("SET CONSTRAINTS ALL DEFERRED")
def is_usable(self):
try:
self.connection.ping()
except Database.Error:
return False
else:
return True
@cached_property
def cx_oracle_version(self):
return tuple(int(x) for x in Database.version.split("."))
@cached_property
def oracle_version(self):
with self.temporary_connection():
return tuple(int(x) for x in self.connection.version.split("."))
class OracleParam:
"""
Wrapper object for formatting parameters for Oracle. If the string
representation of the value is large enough (greater than 4000 characters)
the input size needs to be set as CLOB. Alternatively, if the parameter
has an `input_size` attribute, then the value of the `input_size` attribute
will be used instead. Otherwise, no input size will be set for the
parameter when executing the query.
"""
def __init__(self, param, cursor, strings_only=False):
# With raw SQL queries, datetimes can reach this function
# without being converted by DateTimeField.get_db_prep_value.
if settings.USE_TZ and (
isinstance(param, datetime.datetime)
and not isinstance(param, Oracle_datetime)
):
param = Oracle_datetime.from_datetime(param)
string_size = 0
# Oracle doesn't recognize True and False correctly.
if param is True:
param = 1
elif param is False:
param = 0
if hasattr(param, "bind_parameter"):
self.force_bytes = param.bind_parameter(cursor)
elif isinstance(param, (Database.Binary, datetime.timedelta)):
self.force_bytes = param
else:
# To transmit to the database, we need Unicode if supported
# To get size right, we must consider bytes.
self.force_bytes = force_str(param, cursor.charset, strings_only)
if isinstance(self.force_bytes, str):
# We could optimize by only converting up to 4000 bytes here
string_size = len(force_bytes(param, cursor.charset, strings_only))
if hasattr(param, "input_size"):
# If parameter has `input_size` attribute, use that.
self.input_size = param.input_size
elif string_size > 4000:
# Mark any string param greater than 4000 characters as a CLOB.
self.input_size = Database.CLOB
elif isinstance(param, datetime.datetime):
self.input_size = Database.TIMESTAMP
else:
self.input_size = None
class VariableWrapper:
"""
An adapter class for cursor variables that prevents the wrapped object
from being converted into a string when used to instantiate an OracleParam.
This can be used generally for any other object that should be passed into
Cursor.execute as-is.
"""
def __init__(self, var):
self.var = var
def bind_parameter(self, cursor):
return self.var
def __getattr__(self, key):
return getattr(self.var, key)
def __setattr__(self, key, value):
if key == "var":
self.__dict__[key] = value
else:
setattr(self.var, key, value)
class FormatStylePlaceholderCursor:
"""
Django uses "format" (e.g. '%s') style placeholders, but Oracle uses ":var"
style. This fixes it -- but note that if you want to use a literal "%s" in
a query, you'll need to use "%%s".
"""
charset = "utf-8"
def __init__(self, connection):
self.cursor = connection.cursor()
self.cursor.outputtypehandler = self._output_type_handler
@staticmethod
def _output_number_converter(value):
return decimal.Decimal(value) if "." in value else int(value)
@staticmethod
def _get_decimal_converter(precision, scale):
if scale == 0:
return int
context = decimal.Context(prec=precision)
quantize_value = decimal.Decimal(1).scaleb(-scale)
return lambda v: decimal.Decimal(v).quantize(quantize_value, context=context)
@staticmethod
def _output_type_handler(cursor, name, defaultType, length, precision, scale):
"""
Called for each db column fetched from cursors. Return numbers as the
appropriate Python type.
"""
if defaultType == Database.NUMBER:
if scale == -127:
if precision == 0:
# NUMBER column: decimal-precision floating point.
# This will normally be an integer from a sequence,
# but it could be a decimal value.
outconverter = FormatStylePlaceholderCursor._output_number_converter
else:
# FLOAT column: binary-precision floating point.
# This comes from FloatField columns.
outconverter = float
elif precision > 0:
# NUMBER(p,s) column: decimal-precision fixed point.
# This comes from IntegerField and DecimalField columns.
outconverter = FormatStylePlaceholderCursor._get_decimal_converter(
precision, scale
)
else:
# No type information. This normally comes from a
# mathematical expression in the SELECT list. Guess int
# or Decimal based on whether it has a decimal point.
outconverter = FormatStylePlaceholderCursor._output_number_converter
return cursor.var(
Database.STRING,
size=255,
arraysize=cursor.arraysize,
outconverter=outconverter,
)
def _format_params(self, params):
try:
return {k: OracleParam(v, self, True) for k, v in params.items()}
except AttributeError:
return tuple(OracleParam(p, self, True) for p in params)
def _guess_input_sizes(self, params_list):
# Try dict handling; if that fails, treat as sequence
if hasattr(params_list[0], "keys"):
sizes = {}
for params in params_list:
for k, value in params.items():
if value.input_size:
sizes[k] = value.input_size
if sizes:
self.setinputsizes(**sizes)
else:
# It's not a list of dicts; it's a list of sequences
sizes = [None] * len(params_list[0])
for params in params_list:
for i, value in enumerate(params):
if value.input_size:
sizes[i] = value.input_size
if sizes:
self.setinputsizes(*sizes)
def _param_generator(self, params):
# Try dict handling; if that fails, treat as sequence
if hasattr(params, "items"):
return {k: v.force_bytes for k, v in params.items()}
else:
return [p.force_bytes for p in params]
def _fix_for_params(self, query, params, unify_by_values=False):
# cx_Oracle wants no trailing ';' for SQL statements. For PL/SQL, it
# it does want a trailing ';' but not a trailing '/'. However, these
# characters must be included in the original query in case the query
# is being passed to SQL*Plus.
if query.endswith(";") or query.endswith("/"):
query = query[:-1]
if params is None:
params = []
elif hasattr(params, "keys"):
# Handle params as dict
args = {k: ":%s" % k for k in params}
query %= args
elif unify_by_values and params:
# Handle params as a dict with unified query parameters by their
# values. It can be used only in single query execute() because
# executemany() shares the formatted query with each of the params
# list. e.g. for input params = [0.75, 2, 0.75, 'sth', 0.75]
# params_dict = {0.75: ':arg0', 2: ':arg1', 'sth': ':arg2'}
# args = [':arg0', ':arg1', ':arg0', ':arg2', ':arg0']
# params = {':arg0': 0.75, ':arg1': 2, ':arg2': 'sth'}
params_dict = {
param: ":arg%d" % i for i, param in enumerate(dict.fromkeys(params))
}
args = [params_dict[param] for param in params]
params = {value: key for key, value in params_dict.items()}
query %= tuple(args)
else:
# Handle params as sequence
args = [(":arg%d" % i) for i in range(len(params))]
query %= tuple(args)
return query, self._format_params(params)
def execute(self, query, params=None):
query, params = self._fix_for_params(query, params, unify_by_values=True)
self._guess_input_sizes([params])
with wrap_oracle_errors():
return self.cursor.execute(query, self._param_generator(params))
def executemany(self, query, params=None):
if not params:
# No params given, nothing to do
return None
# uniform treatment for sequences and iterables
params_iter = iter(params)
query, firstparams = self._fix_for_params(query, next(params_iter))
# we build a list of formatted params; as we're going to traverse it
# more than once, we can't make it lazy by using a generator
formatted = [firstparams] + [self._format_params(p) for p in params_iter]
self._guess_input_sizes(formatted)
with wrap_oracle_errors():
return self.cursor.executemany(
query, [self._param_generator(p) for p in formatted]
)
def close(self):
try:
self.cursor.close()
except Database.InterfaceError:
# already closed
pass
def var(self, *args):
return VariableWrapper(self.cursor.var(*args))
def arrayvar(self, *args):
return VariableWrapper(self.cursor.arrayvar(*args))
def __getattr__(self, attr):
return getattr(self.cursor, attr)
def __iter__(self):
return iter(self.cursor)

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import shutil
from django.db.backends.base.client import BaseDatabaseClient
class DatabaseClient(BaseDatabaseClient):
executable_name = "sqlplus"
wrapper_name = "rlwrap"
@staticmethod
def connect_string(settings_dict):
from django.db.backends.oracle.utils import dsn
return '%s/"%s"@%s' % (
settings_dict["USER"],
settings_dict["PASSWORD"],
dsn(settings_dict),
)
@classmethod
def settings_to_cmd_args_env(cls, settings_dict, parameters):
args = [cls.executable_name, "-L", cls.connect_string(settings_dict)]
wrapper_path = shutil.which(cls.wrapper_name)
if wrapper_path:
args = [wrapper_path, *args]
args.extend(parameters)
return args, None

464
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import sys
from django.conf import settings
from django.db import DatabaseError
from django.db.backends.base.creation import BaseDatabaseCreation
from django.utils.crypto import get_random_string
from django.utils.functional import cached_property
TEST_DATABASE_PREFIX = "test_"
class DatabaseCreation(BaseDatabaseCreation):
@cached_property
def _maindb_connection(self):
"""
This is analogous to other backends' `_nodb_connection` property,
which allows access to an "administrative" connection which can
be used to manage the test databases.
For Oracle, the only connection that can be used for that purpose
is the main (non-test) connection.
"""
settings_dict = settings.DATABASES[self.connection.alias]
user = settings_dict.get("SAVED_USER") or settings_dict["USER"]
password = settings_dict.get("SAVED_PASSWORD") or settings_dict["PASSWORD"]
settings_dict = {**settings_dict, "USER": user, "PASSWORD": password}
DatabaseWrapper = type(self.connection)
return DatabaseWrapper(settings_dict, alias=self.connection.alias)
def _create_test_db(self, verbosity=1, autoclobber=False, keepdb=False):
parameters = self._get_test_db_params()
with self._maindb_connection.cursor() as cursor:
if self._test_database_create():
try:
self._execute_test_db_creation(
cursor, parameters, verbosity, keepdb
)
except Exception as e:
if "ORA-01543" not in str(e):
# All errors except "tablespace already exists" cancel tests
self.log("Got an error creating the test database: %s" % e)
sys.exit(2)
if not autoclobber:
confirm = input(
"It appears the test database, %s, already exists. "
"Type 'yes' to delete it, or 'no' to cancel: "
% parameters["user"]
)
if autoclobber or confirm == "yes":
if verbosity >= 1:
self.log(
"Destroying old test database for alias '%s'..."
% self.connection.alias
)
try:
self._execute_test_db_destruction(
cursor, parameters, verbosity
)
except DatabaseError as e:
if "ORA-29857" in str(e):
self._handle_objects_preventing_db_destruction(
cursor, parameters, verbosity, autoclobber
)
else:
# Ran into a database error that isn't about
# leftover objects in the tablespace.
self.log(
"Got an error destroying the old test database: %s"
% e
)
sys.exit(2)
except Exception as e:
self.log(
"Got an error destroying the old test database: %s" % e
)
sys.exit(2)
try:
self._execute_test_db_creation(
cursor, parameters, verbosity, keepdb
)
except Exception as e:
self.log(
"Got an error recreating the test database: %s" % e
)
sys.exit(2)
else:
self.log("Tests cancelled.")
sys.exit(1)
if self._test_user_create():
if verbosity >= 1:
self.log("Creating test user...")
try:
self._create_test_user(cursor, parameters, verbosity, keepdb)
except Exception as e:
if "ORA-01920" not in str(e):
# All errors except "user already exists" cancel tests
self.log("Got an error creating the test user: %s" % e)
sys.exit(2)
if not autoclobber:
confirm = input(
"It appears the test user, %s, already exists. Type "
"'yes' to delete it, or 'no' to cancel: "
% parameters["user"]
)
if autoclobber or confirm == "yes":
try:
if verbosity >= 1:
self.log("Destroying old test user...")
self._destroy_test_user(cursor, parameters, verbosity)
if verbosity >= 1:
self.log("Creating test user...")
self._create_test_user(
cursor, parameters, verbosity, keepdb
)
except Exception as e:
self.log("Got an error recreating the test user: %s" % e)
sys.exit(2)
else:
self.log("Tests cancelled.")
sys.exit(1)
# Done with main user -- test user and tablespaces created.
self._maindb_connection.close()
self._switch_to_test_user(parameters)
return self.connection.settings_dict["NAME"]
def _switch_to_test_user(self, parameters):
"""
Switch to the user that's used for creating the test database.
Oracle doesn't have the concept of separate databases under the same
user, so a separate user is used; see _create_test_db(). The main user
is also needed for cleanup when testing is completed, so save its
credentials in the SAVED_USER/SAVED_PASSWORD key in the settings dict.
"""
real_settings = settings.DATABASES[self.connection.alias]
real_settings["SAVED_USER"] = self.connection.settings_dict[
"SAVED_USER"
] = self.connection.settings_dict["USER"]
real_settings["SAVED_PASSWORD"] = self.connection.settings_dict[
"SAVED_PASSWORD"
] = self.connection.settings_dict["PASSWORD"]
real_test_settings = real_settings["TEST"]
test_settings = self.connection.settings_dict["TEST"]
real_test_settings["USER"] = real_settings["USER"] = test_settings[
"USER"
] = self.connection.settings_dict["USER"] = parameters["user"]
real_settings["PASSWORD"] = self.connection.settings_dict[
"PASSWORD"
] = parameters["password"]
def set_as_test_mirror(self, primary_settings_dict):
"""
Set this database up to be used in testing as a mirror of a primary
database whose settings are given.
"""
self.connection.settings_dict["USER"] = primary_settings_dict["USER"]
self.connection.settings_dict["PASSWORD"] = primary_settings_dict["PASSWORD"]
def _handle_objects_preventing_db_destruction(
self, cursor, parameters, verbosity, autoclobber
):
# There are objects in the test tablespace which prevent dropping it
# The easy fix is to drop the test user -- but are we allowed to do so?
self.log(
"There are objects in the old test database which prevent its destruction."
"\nIf they belong to the test user, deleting the user will allow the test "
"database to be recreated.\n"
"Otherwise, you will need to find and remove each of these objects, "
"or use a different tablespace.\n"
)
if self._test_user_create():
if not autoclobber:
confirm = input("Type 'yes' to delete user %s: " % parameters["user"])
if autoclobber or confirm == "yes":
try:
if verbosity >= 1:
self.log("Destroying old test user...")
self._destroy_test_user(cursor, parameters, verbosity)
except Exception as e:
self.log("Got an error destroying the test user: %s" % e)
sys.exit(2)
try:
if verbosity >= 1:
self.log(
"Destroying old test database for alias '%s'..."
% self.connection.alias
)
self._execute_test_db_destruction(cursor, parameters, verbosity)
except Exception as e:
self.log("Got an error destroying the test database: %s" % e)
sys.exit(2)
else:
self.log("Tests cancelled -- test database cannot be recreated.")
sys.exit(1)
else:
self.log(
"Django is configured to use pre-existing test user '%s',"
" and will not attempt to delete it." % parameters["user"]
)
self.log("Tests cancelled -- test database cannot be recreated.")
sys.exit(1)
def _destroy_test_db(self, test_database_name, verbosity=1):
"""
Destroy a test database, prompting the user for confirmation if the
database already exists. Return the name of the test database created.
"""
self.connection.settings_dict["USER"] = self.connection.settings_dict[
"SAVED_USER"
]
self.connection.settings_dict["PASSWORD"] = self.connection.settings_dict[
"SAVED_PASSWORD"
]
self.connection.close()
parameters = self._get_test_db_params()
with self._maindb_connection.cursor() as cursor:
if self._test_user_create():
if verbosity >= 1:
self.log("Destroying test user...")
self._destroy_test_user(cursor, parameters, verbosity)
if self._test_database_create():
if verbosity >= 1:
self.log("Destroying test database tables...")
self._execute_test_db_destruction(cursor, parameters, verbosity)
self._maindb_connection.close()
def _execute_test_db_creation(self, cursor, parameters, verbosity, keepdb=False):
if verbosity >= 2:
self.log("_create_test_db(): dbname = %s" % parameters["user"])
if self._test_database_oracle_managed_files():
statements = [
"""
CREATE TABLESPACE %(tblspace)s
DATAFILE SIZE %(size)s
AUTOEXTEND ON NEXT %(extsize)s MAXSIZE %(maxsize)s
""",
"""
CREATE TEMPORARY TABLESPACE %(tblspace_temp)s
TEMPFILE SIZE %(size_tmp)s
AUTOEXTEND ON NEXT %(extsize_tmp)s MAXSIZE %(maxsize_tmp)s
""",
]
else:
statements = [
"""
CREATE TABLESPACE %(tblspace)s
DATAFILE '%(datafile)s' SIZE %(size)s REUSE
AUTOEXTEND ON NEXT %(extsize)s MAXSIZE %(maxsize)s
""",
"""
CREATE TEMPORARY TABLESPACE %(tblspace_temp)s
TEMPFILE '%(datafile_tmp)s' SIZE %(size_tmp)s REUSE
AUTOEXTEND ON NEXT %(extsize_tmp)s MAXSIZE %(maxsize_tmp)s
""",
]
# Ignore "tablespace already exists" error when keepdb is on.
acceptable_ora_err = "ORA-01543" if keepdb else None
self._execute_allow_fail_statements(
cursor, statements, parameters, verbosity, acceptable_ora_err
)
def _create_test_user(self, cursor, parameters, verbosity, keepdb=False):
if verbosity >= 2:
self.log("_create_test_user(): username = %s" % parameters["user"])
statements = [
"""CREATE USER %(user)s
IDENTIFIED BY "%(password)s"
DEFAULT TABLESPACE %(tblspace)s
TEMPORARY TABLESPACE %(tblspace_temp)s
QUOTA UNLIMITED ON %(tblspace)s
""",
"""GRANT CREATE SESSION,
CREATE TABLE,
CREATE SEQUENCE,
CREATE PROCEDURE,
CREATE TRIGGER
TO %(user)s""",
]
# Ignore "user already exists" error when keepdb is on
acceptable_ora_err = "ORA-01920" if keepdb else None
success = self._execute_allow_fail_statements(
cursor, statements, parameters, verbosity, acceptable_ora_err
)
# If the password was randomly generated, change the user accordingly.
if not success and self._test_settings_get("PASSWORD") is None:
set_password = 'ALTER USER %(user)s IDENTIFIED BY "%(password)s"'
self._execute_statements(cursor, [set_password], parameters, verbosity)
# Most test suites can be run without "create view" and
# "create materialized view" privileges. But some need it.
for object_type in ("VIEW", "MATERIALIZED VIEW"):
extra = "GRANT CREATE %(object_type)s TO %(user)s"
parameters["object_type"] = object_type
success = self._execute_allow_fail_statements(
cursor, [extra], parameters, verbosity, "ORA-01031"
)
if not success and verbosity >= 2:
self.log(
"Failed to grant CREATE %s permission to test user. This may be ok."
% object_type
)
def _execute_test_db_destruction(self, cursor, parameters, verbosity):
if verbosity >= 2:
self.log("_execute_test_db_destruction(): dbname=%s" % parameters["user"])
statements = [
"DROP TABLESPACE %(tblspace)s "
"INCLUDING CONTENTS AND DATAFILES CASCADE CONSTRAINTS",
"DROP TABLESPACE %(tblspace_temp)s "
"INCLUDING CONTENTS AND DATAFILES CASCADE CONSTRAINTS",
]
self._execute_statements(cursor, statements, parameters, verbosity)
def _destroy_test_user(self, cursor, parameters, verbosity):
if verbosity >= 2:
self.log("_destroy_test_user(): user=%s" % parameters["user"])
self.log("Be patient. This can take some time...")
statements = [
"DROP USER %(user)s CASCADE",
]
self._execute_statements(cursor, statements, parameters, verbosity)
def _execute_statements(
self, cursor, statements, parameters, verbosity, allow_quiet_fail=False
):
for template in statements:
stmt = template % parameters
if verbosity >= 2:
print(stmt)
try:
cursor.execute(stmt)
except Exception as err:
if (not allow_quiet_fail) or verbosity >= 2:
self.log("Failed (%s)" % (err))
raise
def _execute_allow_fail_statements(
self, cursor, statements, parameters, verbosity, acceptable_ora_err
):
"""
Execute statements which are allowed to fail silently if the Oracle
error code given by `acceptable_ora_err` is raised. Return True if the
statements execute without an exception, or False otherwise.
"""
try:
# Statement can fail when acceptable_ora_err is not None
allow_quiet_fail = (
acceptable_ora_err is not None and len(acceptable_ora_err) > 0
)
self._execute_statements(
cursor,
statements,
parameters,
verbosity,
allow_quiet_fail=allow_quiet_fail,
)
return True
except DatabaseError as err:
description = str(err)
if acceptable_ora_err is None or acceptable_ora_err not in description:
raise
return False
def _get_test_db_params(self):
return {
"dbname": self._test_database_name(),
"user": self._test_database_user(),
"password": self._test_database_passwd(),
"tblspace": self._test_database_tblspace(),
"tblspace_temp": self._test_database_tblspace_tmp(),
"datafile": self._test_database_tblspace_datafile(),
"datafile_tmp": self._test_database_tblspace_tmp_datafile(),
"maxsize": self._test_database_tblspace_maxsize(),
"maxsize_tmp": self._test_database_tblspace_tmp_maxsize(),
"size": self._test_database_tblspace_size(),
"size_tmp": self._test_database_tblspace_tmp_size(),
"extsize": self._test_database_tblspace_extsize(),
"extsize_tmp": self._test_database_tblspace_tmp_extsize(),
}
def _test_settings_get(self, key, default=None, prefixed=None):
"""
Return a value from the test settings dict, or a given default, or a
prefixed entry from the main settings dict.
"""
settings_dict = self.connection.settings_dict
val = settings_dict["TEST"].get(key, default)
if val is None and prefixed:
val = TEST_DATABASE_PREFIX + settings_dict[prefixed]
return val
def _test_database_name(self):
return self._test_settings_get("NAME", prefixed="NAME")
def _test_database_create(self):
return self._test_settings_get("CREATE_DB", default=True)
def _test_user_create(self):
return self._test_settings_get("CREATE_USER", default=True)
def _test_database_user(self):
return self._test_settings_get("USER", prefixed="USER")
def _test_database_passwd(self):
password = self._test_settings_get("PASSWORD")
if password is None and self._test_user_create():
# Oracle passwords are limited to 30 chars and can't contain symbols.
password = get_random_string(30)
return password
def _test_database_tblspace(self):
return self._test_settings_get("TBLSPACE", prefixed="USER")
def _test_database_tblspace_tmp(self):
settings_dict = self.connection.settings_dict
return settings_dict["TEST"].get(
"TBLSPACE_TMP", TEST_DATABASE_PREFIX + settings_dict["USER"] + "_temp"
)
def _test_database_tblspace_datafile(self):
tblspace = "%s.dbf" % self._test_database_tblspace()
return self._test_settings_get("DATAFILE", default=tblspace)
def _test_database_tblspace_tmp_datafile(self):
tblspace = "%s.dbf" % self._test_database_tblspace_tmp()
return self._test_settings_get("DATAFILE_TMP", default=tblspace)
def _test_database_tblspace_maxsize(self):
return self._test_settings_get("DATAFILE_MAXSIZE", default="500M")
def _test_database_tblspace_tmp_maxsize(self):
return self._test_settings_get("DATAFILE_TMP_MAXSIZE", default="500M")
def _test_database_tblspace_size(self):
return self._test_settings_get("DATAFILE_SIZE", default="50M")
def _test_database_tblspace_tmp_size(self):
return self._test_settings_get("DATAFILE_TMP_SIZE", default="50M")
def _test_database_tblspace_extsize(self):
return self._test_settings_get("DATAFILE_EXTSIZE", default="25M")
def _test_database_tblspace_tmp_extsize(self):
return self._test_settings_get("DATAFILE_TMP_EXTSIZE", default="25M")
def _test_database_oracle_managed_files(self):
return self._test_settings_get("ORACLE_MANAGED_FILES", default=False)
def _get_test_db_name(self):
"""
Return the 'production' DB name to get the test DB creation machinery
to work. This isn't a great deal in this case because DB names as
handled by Django don't have real counterparts in Oracle.
"""
return self.connection.settings_dict["NAME"]
def test_db_signature(self):
settings_dict = self.connection.settings_dict
return (
settings_dict["HOST"],
settings_dict["PORT"],
settings_dict["ENGINE"],
settings_dict["NAME"],
self._test_database_user(),
)

152
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from django.db import DatabaseError, InterfaceError
from django.db.backends.base.features import BaseDatabaseFeatures
from django.utils.functional import cached_property
class DatabaseFeatures(BaseDatabaseFeatures):
minimum_database_version = (19,)
# Oracle crashes with "ORA-00932: inconsistent datatypes: expected - got
# BLOB" when grouping by LOBs (#24096).
allows_group_by_lob = False
allows_group_by_select_index = False
interprets_empty_strings_as_nulls = True
has_select_for_update = True
has_select_for_update_nowait = True
has_select_for_update_skip_locked = True
has_select_for_update_of = True
select_for_update_of_column = True
can_return_columns_from_insert = True
supports_subqueries_in_group_by = False
ignores_unnecessary_order_by_in_subqueries = False
supports_transactions = True
supports_timezones = False
has_native_duration_field = True
can_defer_constraint_checks = True
supports_partially_nullable_unique_constraints = False
supports_deferrable_unique_constraints = True
truncates_names = True
supports_comments = True
supports_tablespaces = True
supports_sequence_reset = False
can_introspect_materialized_views = True
atomic_transactions = False
nulls_order_largest = True
requires_literal_defaults = True
closed_cursor_error_class = InterfaceError
bare_select_suffix = " FROM DUAL"
# Select for update with limit can be achieved on Oracle, but not with the
# current backend.
supports_select_for_update_with_limit = False
supports_temporal_subtraction = True
# Oracle doesn't ignore quoted identifiers case but the current backend
# does by uppercasing all identifiers.
ignores_table_name_case = True
supports_index_on_text_field = False
create_test_procedure_without_params_sql = """
CREATE PROCEDURE "TEST_PROCEDURE" AS
V_I INTEGER;
BEGIN
V_I := 1;
END;
"""
create_test_procedure_with_int_param_sql = """
CREATE PROCEDURE "TEST_PROCEDURE" (P_I INTEGER) AS
V_I INTEGER;
BEGIN
V_I := P_I;
END;
"""
create_test_table_with_composite_primary_key = """
CREATE TABLE test_table_composite_pk (
column_1 NUMBER(11) NOT NULL,
column_2 NUMBER(11) NOT NULL,
PRIMARY KEY (column_1, column_2)
)
"""
supports_callproc_kwargs = True
supports_over_clause = True
supports_frame_range_fixed_distance = True
supports_ignore_conflicts = False
max_query_params = 2**16 - 1
supports_partial_indexes = False
can_rename_index = True
supports_slicing_ordering_in_compound = True
requires_compound_order_by_subquery = True
allows_multiple_constraints_on_same_fields = False
supports_boolean_expr_in_select_clause = False
supports_comparing_boolean_expr = False
supports_primitives_in_json_field = False
supports_json_field_contains = False
supports_collation_on_textfield = False
test_collations = {
"ci": "BINARY_CI",
"cs": "BINARY",
"non_default": "SWEDISH_CI",
"swedish_ci": "SWEDISH_CI",
}
test_now_utc_template = "CURRENT_TIMESTAMP AT TIME ZONE 'UTC'"
django_test_skips = {
"Oracle doesn't support SHA224.": {
"db_functions.text.test_sha224.SHA224Tests.test_basic",
"db_functions.text.test_sha224.SHA224Tests.test_transform",
},
"Oracle doesn't correctly calculate ISO 8601 week numbering before "
"1583 (the Gregorian calendar was introduced in 1582).": {
"db_functions.datetime.test_extract_trunc.DateFunctionTests."
"test_trunc_week_before_1000",
"db_functions.datetime.test_extract_trunc.DateFunctionWithTimeZoneTests."
"test_trunc_week_before_1000",
},
"Oracle extracts seconds including fractional seconds (#33517).": {
"db_functions.datetime.test_extract_trunc.DateFunctionTests."
"test_extract_second_func_no_fractional",
"db_functions.datetime.test_extract_trunc.DateFunctionWithTimeZoneTests."
"test_extract_second_func_no_fractional",
},
"Oracle doesn't support bitwise XOR.": {
"expressions.tests.ExpressionOperatorTests.test_lefthand_bitwise_xor",
"expressions.tests.ExpressionOperatorTests.test_lefthand_bitwise_xor_null",
"expressions.tests.ExpressionOperatorTests."
"test_lefthand_bitwise_xor_right_null",
},
"Oracle requires ORDER BY in row_number, ANSI:SQL doesn't.": {
"expressions_window.tests.WindowFunctionTests.test_row_number_no_ordering",
},
"Raises ORA-00600: internal error code.": {
"model_fields.test_jsonfield.TestQuerying.test_usage_in_subquery",
},
"Oracle doesn't support changing collations on indexed columns (#33671).": {
"migrations.test_operations.OperationTests."
"test_alter_field_pk_fk_db_collation",
},
}
django_test_expected_failures = {
# A bug in Django/cx_Oracle with respect to string handling (#23843).
"annotations.tests.NonAggregateAnnotationTestCase.test_custom_functions",
"annotations.tests.NonAggregateAnnotationTestCase."
"test_custom_functions_can_ref_other_functions",
}
@cached_property
def introspected_field_types(self):
return {
**super().introspected_field_types,
"GenericIPAddressField": "CharField",
"PositiveBigIntegerField": "BigIntegerField",
"PositiveIntegerField": "IntegerField",
"PositiveSmallIntegerField": "IntegerField",
"SmallIntegerField": "IntegerField",
"TimeField": "DateTimeField",
}
@cached_property
def supports_collation_on_charfield(self):
with self.connection.cursor() as cursor:
try:
cursor.execute("SELECT CAST('a' AS VARCHAR2(4001)) FROM dual")
except DatabaseError as e:
if e.args[0].code == 910:
return False
raise
return True

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from django.db.models import DecimalField, DurationField, Func
class IntervalToSeconds(Func):
function = ""
template = """
EXTRACT(day from %(expressions)s) * 86400 +
EXTRACT(hour from %(expressions)s) * 3600 +
EXTRACT(minute from %(expressions)s) * 60 +
EXTRACT(second from %(expressions)s)
"""
def __init__(self, expression, *, output_field=None, **extra):
super().__init__(
expression, output_field=output_field or DecimalField(), **extra
)
class SecondsToInterval(Func):
function = "NUMTODSINTERVAL"
template = "%(function)s(%(expressions)s, 'SECOND')"
def __init__(self, expression, *, output_field=None, **extra):
super().__init__(
expression, output_field=output_field or DurationField(), **extra
)

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from collections import namedtuple
import cx_Oracle
from django.db import models
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.introspection import FieldInfo as BaseFieldInfo
from django.db.backends.base.introspection import TableInfo as BaseTableInfo
from django.utils.functional import cached_property
FieldInfo = namedtuple(
"FieldInfo", BaseFieldInfo._fields + ("is_autofield", "is_json", "comment")
)
TableInfo = namedtuple("TableInfo", BaseTableInfo._fields + ("comment",))
class DatabaseIntrospection(BaseDatabaseIntrospection):
cache_bust_counter = 1
# Maps type objects to Django Field types.
@cached_property
def data_types_reverse(self):
if self.connection.cx_oracle_version < (8,):
return {
cx_Oracle.BLOB: "BinaryField",
cx_Oracle.CLOB: "TextField",
cx_Oracle.DATETIME: "DateField",
cx_Oracle.FIXED_CHAR: "CharField",
cx_Oracle.FIXED_NCHAR: "CharField",
cx_Oracle.INTERVAL: "DurationField",
cx_Oracle.NATIVE_FLOAT: "FloatField",
cx_Oracle.NCHAR: "CharField",
cx_Oracle.NCLOB: "TextField",
cx_Oracle.NUMBER: "DecimalField",
cx_Oracle.STRING: "CharField",
cx_Oracle.TIMESTAMP: "DateTimeField",
}
else:
return {
cx_Oracle.DB_TYPE_DATE: "DateField",
cx_Oracle.DB_TYPE_BINARY_DOUBLE: "FloatField",
cx_Oracle.DB_TYPE_BLOB: "BinaryField",
cx_Oracle.DB_TYPE_CHAR: "CharField",
cx_Oracle.DB_TYPE_CLOB: "TextField",
cx_Oracle.DB_TYPE_INTERVAL_DS: "DurationField",
cx_Oracle.DB_TYPE_NCHAR: "CharField",
cx_Oracle.DB_TYPE_NCLOB: "TextField",
cx_Oracle.DB_TYPE_NVARCHAR: "CharField",
cx_Oracle.DB_TYPE_NUMBER: "DecimalField",
cx_Oracle.DB_TYPE_TIMESTAMP: "DateTimeField",
cx_Oracle.DB_TYPE_VARCHAR: "CharField",
}
def get_field_type(self, data_type, description):
if data_type == cx_Oracle.NUMBER:
precision, scale = description[4:6]
if scale == 0:
if precision > 11:
return (
"BigAutoField"
if description.is_autofield
else "BigIntegerField"
)
elif 1 < precision < 6 and description.is_autofield:
return "SmallAutoField"
elif precision == 1:
return "BooleanField"
elif description.is_autofield:
return "AutoField"
else:
return "IntegerField"
elif scale == -127:
return "FloatField"
elif data_type == cx_Oracle.NCLOB and description.is_json:
return "JSONField"
return super().get_field_type(data_type, description)
def get_table_list(self, cursor):
"""Return a list of table and view names in the current database."""
cursor.execute(
"""
SELECT
user_tables.table_name,
't',
user_tab_comments.comments
FROM user_tables
LEFT OUTER JOIN
user_tab_comments
ON user_tab_comments.table_name = user_tables.table_name
WHERE
NOT EXISTS (
SELECT 1
FROM user_mviews
WHERE user_mviews.mview_name = user_tables.table_name
)
UNION ALL
SELECT view_name, 'v', NULL FROM user_views
UNION ALL
SELECT mview_name, 'v', NULL FROM user_mviews
"""
)
return [
TableInfo(self.identifier_converter(row[0]), row[1], row[2])
for row in cursor.fetchall()
]
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface.
"""
# user_tab_columns gives data default for columns
cursor.execute(
"""
SELECT
user_tab_cols.column_name,
user_tab_cols.data_default,
CASE
WHEN user_tab_cols.collation = user_tables.default_collation
THEN NULL
ELSE user_tab_cols.collation
END collation,
CASE
WHEN user_tab_cols.char_used IS NULL
THEN user_tab_cols.data_length
ELSE user_tab_cols.char_length
END as display_size,
CASE
WHEN user_tab_cols.identity_column = 'YES' THEN 1
ELSE 0
END as is_autofield,
CASE
WHEN EXISTS (
SELECT 1
FROM user_json_columns
WHERE
user_json_columns.table_name = user_tab_cols.table_name AND
user_json_columns.column_name = user_tab_cols.column_name
)
THEN 1
ELSE 0
END as is_json,
user_col_comments.comments as col_comment
FROM user_tab_cols
LEFT OUTER JOIN
user_tables ON user_tables.table_name = user_tab_cols.table_name
LEFT OUTER JOIN
user_col_comments ON
user_col_comments.column_name = user_tab_cols.column_name AND
user_col_comments.table_name = user_tab_cols.table_name
WHERE user_tab_cols.table_name = UPPER(%s)
""",
[table_name],
)
field_map = {
column: (
display_size,
default if default != "NULL" else None,
collation,
is_autofield,
is_json,
comment,
)
for (
column,
default,
collation,
display_size,
is_autofield,
is_json,
comment,
) in cursor.fetchall()
}
self.cache_bust_counter += 1
cursor.execute(
"SELECT * FROM {} WHERE ROWNUM < 2 AND {} > 0".format(
self.connection.ops.quote_name(table_name), self.cache_bust_counter
)
)
description = []
for desc in cursor.description:
name = desc[0]
(
display_size,
default,
collation,
is_autofield,
is_json,
comment,
) = field_map[name]
name %= {} # cx_Oracle, for some reason, doubles percent signs.
description.append(
FieldInfo(
self.identifier_converter(name),
desc[1],
display_size,
desc[3],
desc[4] or 0,
desc[5] or 0,
*desc[6:],
default,
collation,
is_autofield,
is_json,
comment,
)
)
return description
def identifier_converter(self, name):
"""Identifier comparison is case insensitive under Oracle."""
return name.lower()
def get_sequences(self, cursor, table_name, table_fields=()):
cursor.execute(
"""
SELECT
user_tab_identity_cols.sequence_name,
user_tab_identity_cols.column_name
FROM
user_tab_identity_cols,
user_constraints,
user_cons_columns cols
WHERE
user_constraints.constraint_name = cols.constraint_name
AND user_constraints.table_name = user_tab_identity_cols.table_name
AND cols.column_name = user_tab_identity_cols.column_name
AND user_constraints.constraint_type = 'P'
AND user_tab_identity_cols.table_name = UPPER(%s)
""",
[table_name],
)
# Oracle allows only one identity column per table.
row = cursor.fetchone()
if row:
return [
{
"name": self.identifier_converter(row[0]),
"table": self.identifier_converter(table_name),
"column": self.identifier_converter(row[1]),
}
]
# To keep backward compatibility for AutoFields that aren't Oracle
# identity columns.
for f in table_fields:
if isinstance(f, models.AutoField):
return [{"table": table_name, "column": f.column}]
return []
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {field_name: (field_name_other_table, other_table)}
representing all foreign keys in the given table.
"""
table_name = table_name.upper()
cursor.execute(
"""
SELECT ca.column_name, cb.table_name, cb.column_name
FROM user_constraints, USER_CONS_COLUMNS ca, USER_CONS_COLUMNS cb
WHERE user_constraints.table_name = %s AND
user_constraints.constraint_name = ca.constraint_name AND
user_constraints.r_constraint_name = cb.constraint_name AND
ca.position = cb.position""",
[table_name],
)
return {
self.identifier_converter(field_name): (
self.identifier_converter(rel_field_name),
self.identifier_converter(rel_table_name),
)
for field_name, rel_table_name, rel_field_name in cursor.fetchall()
}
def get_primary_key_columns(self, cursor, table_name):
cursor.execute(
"""
SELECT
cols.column_name
FROM
user_constraints,
user_cons_columns cols
WHERE
user_constraints.constraint_name = cols.constraint_name AND
user_constraints.constraint_type = 'P' AND
user_constraints.table_name = UPPER(%s)
ORDER BY
cols.position
""",
[table_name],
)
return [self.identifier_converter(row[0]) for row in cursor.fetchall()]
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index) across
one or more columns.
"""
constraints = {}
# Loop over the constraints, getting PKs, uniques, and checks
cursor.execute(
"""
SELECT
user_constraints.constraint_name,
LISTAGG(LOWER(cols.column_name), ',')
WITHIN GROUP (ORDER BY cols.position),
CASE user_constraints.constraint_type
WHEN 'P' THEN 1
ELSE 0
END AS is_primary_key,
CASE
WHEN user_constraints.constraint_type IN ('P', 'U') THEN 1
ELSE 0
END AS is_unique,
CASE user_constraints.constraint_type
WHEN 'C' THEN 1
ELSE 0
END AS is_check_constraint
FROM
user_constraints
LEFT OUTER JOIN
user_cons_columns cols
ON user_constraints.constraint_name = cols.constraint_name
WHERE
user_constraints.constraint_type = ANY('P', 'U', 'C')
AND user_constraints.table_name = UPPER(%s)
GROUP BY user_constraints.constraint_name, user_constraints.constraint_type
""",
[table_name],
)
for constraint, columns, pk, unique, check in cursor.fetchall():
constraint = self.identifier_converter(constraint)
constraints[constraint] = {
"columns": columns.split(","),
"primary_key": pk,
"unique": unique,
"foreign_key": None,
"check": check,
"index": unique, # All uniques come with an index
}
# Foreign key constraints
cursor.execute(
"""
SELECT
cons.constraint_name,
LISTAGG(LOWER(cols.column_name), ',')
WITHIN GROUP (ORDER BY cols.position),
LOWER(rcols.table_name),
LOWER(rcols.column_name)
FROM
user_constraints cons
INNER JOIN
user_cons_columns rcols
ON rcols.constraint_name = cons.r_constraint_name AND rcols.position = 1
LEFT OUTER JOIN
user_cons_columns cols
ON cons.constraint_name = cols.constraint_name
WHERE
cons.constraint_type = 'R' AND
cons.table_name = UPPER(%s)
GROUP BY cons.constraint_name, rcols.table_name, rcols.column_name
""",
[table_name],
)
for constraint, columns, other_table, other_column in cursor.fetchall():
constraint = self.identifier_converter(constraint)
constraints[constraint] = {
"primary_key": False,
"unique": False,
"foreign_key": (other_table, other_column),
"check": False,
"index": False,
"columns": columns.split(","),
}
# Now get indexes
cursor.execute(
"""
SELECT
ind.index_name,
LOWER(ind.index_type),
LOWER(ind.uniqueness),
LISTAGG(LOWER(cols.column_name), ',')
WITHIN GROUP (ORDER BY cols.column_position),
LISTAGG(cols.descend, ',') WITHIN GROUP (ORDER BY cols.column_position)
FROM
user_ind_columns cols, user_indexes ind
WHERE
cols.table_name = UPPER(%s) AND
NOT EXISTS (
SELECT 1
FROM user_constraints cons
WHERE ind.index_name = cons.index_name
) AND cols.index_name = ind.index_name
GROUP BY ind.index_name, ind.index_type, ind.uniqueness
""",
[table_name],
)
for constraint, type_, unique, columns, orders in cursor.fetchall():
constraint = self.identifier_converter(constraint)
constraints[constraint] = {
"primary_key": False,
"unique": unique == "unique",
"foreign_key": None,
"check": False,
"index": True,
"type": "idx" if type_ == "normal" else type_,
"columns": columns.split(","),
"orders": orders.split(","),
}
return constraints

722
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import datetime
import uuid
from functools import lru_cache
from django.conf import settings
from django.db import DatabaseError, NotSupportedError
from django.db.backends.base.operations import BaseDatabaseOperations
from django.db.backends.utils import split_tzname_delta, strip_quotes, truncate_name
from django.db.models import AutoField, Exists, ExpressionWrapper, Lookup
from django.db.models.expressions import RawSQL
from django.db.models.sql.where import WhereNode
from django.utils import timezone
from django.utils.encoding import force_bytes, force_str
from django.utils.functional import cached_property
from django.utils.regex_helper import _lazy_re_compile
from .base import Database
from .utils import BulkInsertMapper, InsertVar, Oracle_datetime
class DatabaseOperations(BaseDatabaseOperations):
# Oracle uses NUMBER(5), NUMBER(11), and NUMBER(19) for integer fields.
# SmallIntegerField uses NUMBER(11) instead of NUMBER(5), which is used by
# SmallAutoField, to preserve backward compatibility.
integer_field_ranges = {
"SmallIntegerField": (-99999999999, 99999999999),
"IntegerField": (-99999999999, 99999999999),
"BigIntegerField": (-9999999999999999999, 9999999999999999999),
"PositiveBigIntegerField": (0, 9999999999999999999),
"PositiveSmallIntegerField": (0, 99999999999),
"PositiveIntegerField": (0, 99999999999),
"SmallAutoField": (-99999, 99999),
"AutoField": (-99999999999, 99999999999),
"BigAutoField": (-9999999999999999999, 9999999999999999999),
}
set_operators = {**BaseDatabaseOperations.set_operators, "difference": "MINUS"}
# TODO: colorize this SQL code with style.SQL_KEYWORD(), etc.
_sequence_reset_sql = """
DECLARE
table_value integer;
seq_value integer;
seq_name user_tab_identity_cols.sequence_name%%TYPE;
BEGIN
BEGIN
SELECT sequence_name INTO seq_name FROM user_tab_identity_cols
WHERE table_name = '%(table_name)s' AND
column_name = '%(column_name)s';
EXCEPTION WHEN NO_DATA_FOUND THEN
seq_name := '%(no_autofield_sequence_name)s';
END;
SELECT NVL(MAX(%(column)s), 0) INTO table_value FROM %(table)s;
SELECT NVL(last_number - cache_size, 0) INTO seq_value FROM user_sequences
WHERE sequence_name = seq_name;
WHILE table_value > seq_value LOOP
EXECUTE IMMEDIATE 'SELECT "'||seq_name||'".nextval FROM DUAL'
INTO seq_value;
END LOOP;
END;
/"""
# Oracle doesn't support string without precision; use the max string size.
cast_char_field_without_max_length = "NVARCHAR2(2000)"
cast_data_types = {
"AutoField": "NUMBER(11)",
"BigAutoField": "NUMBER(19)",
"SmallAutoField": "NUMBER(5)",
"TextField": cast_char_field_without_max_length,
}
def cache_key_culling_sql(self):
cache_key = self.quote_name("cache_key")
return (
f"SELECT {cache_key} "
f"FROM %s "
f"ORDER BY {cache_key} OFFSET %%s ROWS FETCH FIRST 1 ROWS ONLY"
)
# EXTRACT format cannot be passed in parameters.
_extract_format_re = _lazy_re_compile(r"[A-Z_]+")
def date_extract_sql(self, lookup_type, sql, params):
extract_sql = f"TO_CHAR({sql}, %s)"
extract_param = None
if lookup_type == "week_day":
# TO_CHAR(field, 'D') returns an integer from 1-7, where 1=Sunday.
extract_param = "D"
elif lookup_type == "iso_week_day":
extract_sql = f"TO_CHAR({sql} - 1, %s)"
extract_param = "D"
elif lookup_type == "week":
# IW = ISO week number
extract_param = "IW"
elif lookup_type == "quarter":
extract_param = "Q"
elif lookup_type == "iso_year":
extract_param = "IYYY"
else:
lookup_type = lookup_type.upper()
if not self._extract_format_re.fullmatch(lookup_type):
raise ValueError(f"Invalid loookup type: {lookup_type!r}")
# https://docs.oracle.com/en/database/oracle/oracle-database/21/sqlrf/EXTRACT-datetime.html
return f"EXTRACT({lookup_type} FROM {sql})", params
return extract_sql, (*params, extract_param)
def date_trunc_sql(self, lookup_type, sql, params, tzname=None):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
# https://docs.oracle.com/en/database/oracle/oracle-database/21/sqlrf/ROUND-and-TRUNC-Date-Functions.html
trunc_param = None
if lookup_type in ("year", "month"):
trunc_param = lookup_type.upper()
elif lookup_type == "quarter":
trunc_param = "Q"
elif lookup_type == "week":
trunc_param = "IW"
else:
return f"TRUNC({sql})", params
return f"TRUNC({sql}, %s)", (*params, trunc_param)
# Oracle crashes with "ORA-03113: end-of-file on communication channel"
# if the time zone name is passed in parameter. Use interpolation instead.
# https://groups.google.com/forum/#!msg/django-developers/zwQju7hbG78/9l934yelwfsJ
# This regexp matches all time zone names from the zoneinfo database.
_tzname_re = _lazy_re_compile(r"^[\w/:+-]+$")
def _prepare_tzname_delta(self, tzname):
tzname, sign, offset = split_tzname_delta(tzname)
return f"{sign}{offset}" if offset else tzname
def _convert_sql_to_tz(self, sql, params, tzname):
if not (settings.USE_TZ and tzname):
return sql, params
if not self._tzname_re.match(tzname):
raise ValueError("Invalid time zone name: %s" % tzname)
# Convert from connection timezone to the local time, returning
# TIMESTAMP WITH TIME ZONE and cast it back to TIMESTAMP to strip the
# TIME ZONE details.
if self.connection.timezone_name != tzname:
from_timezone_name = self.connection.timezone_name
to_timezone_name = self._prepare_tzname_delta(tzname)
return (
f"CAST((FROM_TZ({sql}, '{from_timezone_name}') AT TIME ZONE "
f"'{to_timezone_name}') AS TIMESTAMP)",
params,
)
return sql, params
def datetime_cast_date_sql(self, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"TRUNC({sql})", params
def datetime_cast_time_sql(self, sql, params, tzname):
# Since `TimeField` values are stored as TIMESTAMP change to the
# default date and convert the field to the specified timezone.
sql, params = self._convert_sql_to_tz(sql, params, tzname)
convert_datetime_sql = (
f"TO_TIMESTAMP(CONCAT('1900-01-01 ', TO_CHAR({sql}, 'HH24:MI:SS.FF')), "
f"'YYYY-MM-DD HH24:MI:SS.FF')"
)
return (
f"CASE WHEN {sql} IS NOT NULL THEN {convert_datetime_sql} ELSE NULL END",
(*params, *params),
)
def datetime_extract_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return self.date_extract_sql(lookup_type, sql, params)
def datetime_trunc_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
# https://docs.oracle.com/en/database/oracle/oracle-database/21/sqlrf/ROUND-and-TRUNC-Date-Functions.html
trunc_param = None
if lookup_type in ("year", "month"):
trunc_param = lookup_type.upper()
elif lookup_type == "quarter":
trunc_param = "Q"
elif lookup_type == "week":
trunc_param = "IW"
elif lookup_type == "hour":
trunc_param = "HH24"
elif lookup_type == "minute":
trunc_param = "MI"
elif lookup_type == "day":
return f"TRUNC({sql})", params
else:
# Cast to DATE removes sub-second precision.
return f"CAST({sql} AS DATE)", params
return f"TRUNC({sql}, %s)", (*params, trunc_param)
def time_trunc_sql(self, lookup_type, sql, params, tzname=None):
# The implementation is similar to `datetime_trunc_sql` as both
# `DateTimeField` and `TimeField` are stored as TIMESTAMP where
# the date part of the later is ignored.
sql, params = self._convert_sql_to_tz(sql, params, tzname)
trunc_param = None
if lookup_type == "hour":
trunc_param = "HH24"
elif lookup_type == "minute":
trunc_param = "MI"
elif lookup_type == "second":
# Cast to DATE removes sub-second precision.
return f"CAST({sql} AS DATE)", params
return f"TRUNC({sql}, %s)", (*params, trunc_param)
def get_db_converters(self, expression):
converters = super().get_db_converters(expression)
internal_type = expression.output_field.get_internal_type()
if internal_type in ["JSONField", "TextField"]:
converters.append(self.convert_textfield_value)
elif internal_type == "BinaryField":
converters.append(self.convert_binaryfield_value)
elif internal_type == "BooleanField":
converters.append(self.convert_booleanfield_value)
elif internal_type == "DateTimeField":
if settings.USE_TZ:
converters.append(self.convert_datetimefield_value)
elif internal_type == "DateField":
converters.append(self.convert_datefield_value)
elif internal_type == "TimeField":
converters.append(self.convert_timefield_value)
elif internal_type == "UUIDField":
converters.append(self.convert_uuidfield_value)
# Oracle stores empty strings as null. If the field accepts the empty
# string, undo this to adhere to the Django convention of using
# the empty string instead of null.
if expression.output_field.empty_strings_allowed:
converters.append(
self.convert_empty_bytes
if internal_type == "BinaryField"
else self.convert_empty_string
)
return converters
def convert_textfield_value(self, value, expression, connection):
if isinstance(value, Database.LOB):
value = value.read()
return value
def convert_binaryfield_value(self, value, expression, connection):
if isinstance(value, Database.LOB):
value = force_bytes(value.read())
return value
def convert_booleanfield_value(self, value, expression, connection):
if value in (0, 1):
value = bool(value)
return value
# cx_Oracle always returns datetime.datetime objects for
# DATE and TIMESTAMP columns, but Django wants to see a
# python datetime.date, .time, or .datetime.
def convert_datetimefield_value(self, value, expression, connection):
if value is not None:
value = timezone.make_aware(value, self.connection.timezone)
return value
def convert_datefield_value(self, value, expression, connection):
if isinstance(value, Database.Timestamp):
value = value.date()
return value
def convert_timefield_value(self, value, expression, connection):
if isinstance(value, Database.Timestamp):
value = value.time()
return value
def convert_uuidfield_value(self, value, expression, connection):
if value is not None:
value = uuid.UUID(value)
return value
@staticmethod
def convert_empty_string(value, expression, connection):
return "" if value is None else value
@staticmethod
def convert_empty_bytes(value, expression, connection):
return b"" if value is None else value
def deferrable_sql(self):
return " DEFERRABLE INITIALLY DEFERRED"
def fetch_returned_insert_columns(self, cursor, returning_params):
columns = []
for param in returning_params:
value = param.get_value()
if value == []:
raise DatabaseError(
"The database did not return a new row id. Probably "
'"ORA-1403: no data found" was raised internally but was '
"hidden by the Oracle OCI library (see "
"https://code.djangoproject.com/ticket/28859)."
)
columns.append(value[0])
return tuple(columns)
def no_limit_value(self):
return None
def limit_offset_sql(self, low_mark, high_mark):
fetch, offset = self._get_limit_offset_params(low_mark, high_mark)
return " ".join(
sql
for sql in (
("OFFSET %d ROWS" % offset) if offset else None,
("FETCH FIRST %d ROWS ONLY" % fetch) if fetch else None,
)
if sql
)
def last_executed_query(self, cursor, sql, params):
# https://cx-oracle.readthedocs.io/en/latest/api_manual/cursor.html#Cursor.statement
# The DB API definition does not define this attribute.
statement = cursor.statement
# Unlike Psycopg's `query` and MySQLdb`'s `_executed`, cx_Oracle's
# `statement` doesn't contain the query parameters. Substitute
# parameters manually.
if params:
if isinstance(params, (tuple, list)):
params = {
f":arg{i}": param for i, param in enumerate(dict.fromkeys(params))
}
elif isinstance(params, dict):
params = {f":{key}": val for (key, val) in params.items()}
for key in sorted(params, key=len, reverse=True):
statement = statement.replace(
key, force_str(params[key], errors="replace")
)
return statement
def last_insert_id(self, cursor, table_name, pk_name):
sq_name = self._get_sequence_name(cursor, strip_quotes(table_name), pk_name)
cursor.execute('"%s".currval' % sq_name)
return cursor.fetchone()[0]
def lookup_cast(self, lookup_type, internal_type=None):
if lookup_type in ("iexact", "icontains", "istartswith", "iendswith"):
return "UPPER(%s)"
if (
lookup_type != "isnull" and internal_type in ("BinaryField", "TextField")
) or (lookup_type == "exact" and internal_type == "JSONField"):
return "DBMS_LOB.SUBSTR(%s)"
return "%s"
def max_in_list_size(self):
return 1000
def max_name_length(self):
return 30
def pk_default_value(self):
return "NULL"
def prep_for_iexact_query(self, x):
return x
def process_clob(self, value):
if value is None:
return ""
return value.read()
def quote_name(self, name):
# SQL92 requires delimited (quoted) names to be case-sensitive. When
# not quoted, Oracle has case-insensitive behavior for identifiers, but
# always defaults to uppercase.
# We simplify things by making Oracle identifiers always uppercase.
if not name.startswith('"') and not name.endswith('"'):
name = '"%s"' % truncate_name(name, self.max_name_length())
# Oracle puts the query text into a (query % args) construct, so % signs
# in names need to be escaped. The '%%' will be collapsed back to '%' at
# that stage so we aren't really making the name longer here.
name = name.replace("%", "%%")
return name.upper()
def regex_lookup(self, lookup_type):
if lookup_type == "regex":
match_option = "'c'"
else:
match_option = "'i'"
return "REGEXP_LIKE(%%s, %%s, %s)" % match_option
def return_insert_columns(self, fields):
if not fields:
return "", ()
field_names = []
params = []
for field in fields:
field_names.append(
"%s.%s"
% (
self.quote_name(field.model._meta.db_table),
self.quote_name(field.column),
)
)
params.append(InsertVar(field))
return "RETURNING %s INTO %s" % (
", ".join(field_names),
", ".join(["%s"] * len(params)),
), tuple(params)
def __foreign_key_constraints(self, table_name, recursive):
with self.connection.cursor() as cursor:
if recursive:
cursor.execute(
"""
SELECT
user_tables.table_name, rcons.constraint_name
FROM
user_tables
JOIN
user_constraints cons
ON (user_tables.table_name = cons.table_name
AND cons.constraint_type = ANY('P', 'U'))
LEFT JOIN
user_constraints rcons
ON (user_tables.table_name = rcons.table_name
AND rcons.constraint_type = 'R')
START WITH user_tables.table_name = UPPER(%s)
CONNECT BY
NOCYCLE PRIOR cons.constraint_name = rcons.r_constraint_name
GROUP BY
user_tables.table_name, rcons.constraint_name
HAVING user_tables.table_name != UPPER(%s)
ORDER BY MAX(level) DESC
""",
(table_name, table_name),
)
else:
cursor.execute(
"""
SELECT
cons.table_name, cons.constraint_name
FROM
user_constraints cons
WHERE
cons.constraint_type = 'R'
AND cons.table_name = UPPER(%s)
""",
(table_name,),
)
return cursor.fetchall()
@cached_property
def _foreign_key_constraints(self):
# 512 is large enough to fit the ~330 tables (as of this writing) in
# Django's test suite.
return lru_cache(maxsize=512)(self.__foreign_key_constraints)
def sql_flush(self, style, tables, *, reset_sequences=False, allow_cascade=False):
if not tables:
return []
truncated_tables = {table.upper() for table in tables}
constraints = set()
# Oracle's TRUNCATE CASCADE only works with ON DELETE CASCADE foreign
# keys which Django doesn't define. Emulate the PostgreSQL behavior
# which truncates all dependent tables by manually retrieving all
# foreign key constraints and resolving dependencies.
for table in tables:
for foreign_table, constraint in self._foreign_key_constraints(
table, recursive=allow_cascade
):
if allow_cascade:
truncated_tables.add(foreign_table)
constraints.add((foreign_table, constraint))
sql = (
[
"%s %s %s %s %s %s %s %s;"
% (
style.SQL_KEYWORD("ALTER"),
style.SQL_KEYWORD("TABLE"),
style.SQL_FIELD(self.quote_name(table)),
style.SQL_KEYWORD("DISABLE"),
style.SQL_KEYWORD("CONSTRAINT"),
style.SQL_FIELD(self.quote_name(constraint)),
style.SQL_KEYWORD("KEEP"),
style.SQL_KEYWORD("INDEX"),
)
for table, constraint in constraints
]
+ [
"%s %s %s;"
% (
style.SQL_KEYWORD("TRUNCATE"),
style.SQL_KEYWORD("TABLE"),
style.SQL_FIELD(self.quote_name(table)),
)
for table in truncated_tables
]
+ [
"%s %s %s %s %s %s;"
% (
style.SQL_KEYWORD("ALTER"),
style.SQL_KEYWORD("TABLE"),
style.SQL_FIELD(self.quote_name(table)),
style.SQL_KEYWORD("ENABLE"),
style.SQL_KEYWORD("CONSTRAINT"),
style.SQL_FIELD(self.quote_name(constraint)),
)
for table, constraint in constraints
]
)
if reset_sequences:
sequences = [
sequence
for sequence in self.connection.introspection.sequence_list()
if sequence["table"].upper() in truncated_tables
]
# Since we've just deleted all the rows, running our sequence ALTER
# code will reset the sequence to 0.
sql.extend(self.sequence_reset_by_name_sql(style, sequences))
return sql
def sequence_reset_by_name_sql(self, style, sequences):
sql = []
for sequence_info in sequences:
no_autofield_sequence_name = self._get_no_autofield_sequence_name(
sequence_info["table"]
)
table = self.quote_name(sequence_info["table"])
column = self.quote_name(sequence_info["column"] or "id")
query = self._sequence_reset_sql % {
"no_autofield_sequence_name": no_autofield_sequence_name,
"table": table,
"column": column,
"table_name": strip_quotes(table),
"column_name": strip_quotes(column),
}
sql.append(query)
return sql
def sequence_reset_sql(self, style, model_list):
output = []
query = self._sequence_reset_sql
for model in model_list:
for f in model._meta.local_fields:
if isinstance(f, AutoField):
no_autofield_sequence_name = self._get_no_autofield_sequence_name(
model._meta.db_table
)
table = self.quote_name(model._meta.db_table)
column = self.quote_name(f.column)
output.append(
query
% {
"no_autofield_sequence_name": no_autofield_sequence_name,
"table": table,
"column": column,
"table_name": strip_quotes(table),
"column_name": strip_quotes(column),
}
)
# Only one AutoField is allowed per model, so don't
# continue to loop
break
return output
def start_transaction_sql(self):
return ""
def tablespace_sql(self, tablespace, inline=False):
if inline:
return "USING INDEX TABLESPACE %s" % self.quote_name(tablespace)
else:
return "TABLESPACE %s" % self.quote_name(tablespace)
def adapt_datefield_value(self, value):
"""
Transform a date value to an object compatible with what is expected
by the backend driver for date columns.
The default implementation transforms the date to text, but that is not
necessary for Oracle.
"""
return value
def adapt_datetimefield_value(self, value):
"""
Transform a datetime value to an object compatible with what is expected
by the backend driver for datetime columns.
If naive datetime is passed assumes that is in UTC. Normally Django
models.DateTimeField makes sure that if USE_TZ is True passed datetime
is timezone aware.
"""
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# cx_Oracle doesn't support tz-aware datetimes
if timezone.is_aware(value):
if settings.USE_TZ:
value = timezone.make_naive(value, self.connection.timezone)
else:
raise ValueError(
"Oracle backend does not support timezone-aware datetimes when "
"USE_TZ is False."
)
return Oracle_datetime.from_datetime(value)
def adapt_timefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
if isinstance(value, str):
return datetime.datetime.strptime(value, "%H:%M:%S")
# Oracle doesn't support tz-aware times
if timezone.is_aware(value):
raise ValueError("Oracle backend does not support timezone-aware times.")
return Oracle_datetime(
1900, 1, 1, value.hour, value.minute, value.second, value.microsecond
)
def adapt_decimalfield_value(self, value, max_digits=None, decimal_places=None):
return value
def combine_expression(self, connector, sub_expressions):
lhs, rhs = sub_expressions
if connector == "%%":
return "MOD(%s)" % ",".join(sub_expressions)
elif connector == "&":
return "BITAND(%s)" % ",".join(sub_expressions)
elif connector == "|":
return "BITAND(-%(lhs)s-1,%(rhs)s)+%(lhs)s" % {"lhs": lhs, "rhs": rhs}
elif connector == "<<":
return "(%(lhs)s * POWER(2, %(rhs)s))" % {"lhs": lhs, "rhs": rhs}
elif connector == ">>":
return "FLOOR(%(lhs)s / POWER(2, %(rhs)s))" % {"lhs": lhs, "rhs": rhs}
elif connector == "^":
return "POWER(%s)" % ",".join(sub_expressions)
elif connector == "#":
raise NotSupportedError("Bitwise XOR is not supported in Oracle.")
return super().combine_expression(connector, sub_expressions)
def _get_no_autofield_sequence_name(self, table):
"""
Manually created sequence name to keep backward compatibility for
AutoFields that aren't Oracle identity columns.
"""
name_length = self.max_name_length() - 3
return "%s_SQ" % truncate_name(strip_quotes(table), name_length).upper()
def _get_sequence_name(self, cursor, table, pk_name):
cursor.execute(
"""
SELECT sequence_name
FROM user_tab_identity_cols
WHERE table_name = UPPER(%s)
AND column_name = UPPER(%s)""",
[table, pk_name],
)
row = cursor.fetchone()
return self._get_no_autofield_sequence_name(table) if row is None else row[0]
def bulk_insert_sql(self, fields, placeholder_rows):
query = []
for row in placeholder_rows:
select = []
for i, placeholder in enumerate(row):
# A model without any fields has fields=[None].
if fields[i]:
internal_type = getattr(
fields[i], "target_field", fields[i]
).get_internal_type()
placeholder = (
BulkInsertMapper.types.get(internal_type, "%s") % placeholder
)
# Add columns aliases to the first select to avoid "ORA-00918:
# column ambiguously defined" when two or more columns in the
# first select have the same value.
if not query:
placeholder = "%s col_%s" % (placeholder, i)
select.append(placeholder)
query.append("SELECT %s FROM DUAL" % ", ".join(select))
# Bulk insert to tables with Oracle identity columns causes Oracle to
# add sequence.nextval to it. Sequence.nextval cannot be used with the
# UNION operator. To prevent incorrect SQL, move UNION to a subquery.
return "SELECT * FROM (%s)" % " UNION ALL ".join(query)
def subtract_temporals(self, internal_type, lhs, rhs):
if internal_type == "DateField":
lhs_sql, lhs_params = lhs
rhs_sql, rhs_params = rhs
params = (*lhs_params, *rhs_params)
return (
"NUMTODSINTERVAL(TO_NUMBER(%s - %s), 'DAY')" % (lhs_sql, rhs_sql),
params,
)
return super().subtract_temporals(internal_type, lhs, rhs)
def bulk_batch_size(self, fields, objs):
"""Oracle restricts the number of parameters in a query."""
if fields:
return self.connection.features.max_query_params // len(fields)
return len(objs)
def conditional_expression_supported_in_where_clause(self, expression):
"""
Oracle supports only EXISTS(...) or filters in the WHERE clause, others
must be compared with True.
"""
if isinstance(expression, (Exists, Lookup, WhereNode)):
return True
if isinstance(expression, ExpressionWrapper) and expression.conditional:
return self.conditional_expression_supported_in_where_clause(
expression.expression
)
if isinstance(expression, RawSQL) and expression.conditional:
return True
return False

250
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import copy
import datetime
import re
from django.db import DatabaseError
from django.db.backends.base.schema import (
BaseDatabaseSchemaEditor,
_related_non_m2m_objects,
)
from django.utils.duration import duration_iso_string
class DatabaseSchemaEditor(BaseDatabaseSchemaEditor):
sql_create_column = "ALTER TABLE %(table)s ADD %(column)s %(definition)s"
sql_alter_column_type = "MODIFY %(column)s %(type)s%(collation)s"
sql_alter_column_null = "MODIFY %(column)s NULL"
sql_alter_column_not_null = "MODIFY %(column)s NOT NULL"
sql_alter_column_default = "MODIFY %(column)s DEFAULT %(default)s"
sql_alter_column_no_default = "MODIFY %(column)s DEFAULT NULL"
sql_alter_column_no_default_null = sql_alter_column_no_default
sql_delete_column = "ALTER TABLE %(table)s DROP COLUMN %(column)s"
sql_create_column_inline_fk = (
"CONSTRAINT %(name)s REFERENCES %(to_table)s(%(to_column)s)%(deferrable)s"
)
sql_delete_table = "DROP TABLE %(table)s CASCADE CONSTRAINTS"
sql_create_index = "CREATE INDEX %(name)s ON %(table)s (%(columns)s)%(extra)s"
def quote_value(self, value):
if isinstance(value, (datetime.date, datetime.time, datetime.datetime)):
return "'%s'" % value
elif isinstance(value, datetime.timedelta):
return "'%s'" % duration_iso_string(value)
elif isinstance(value, str):
return "'%s'" % value.replace("'", "''").replace("%", "%%")
elif isinstance(value, (bytes, bytearray, memoryview)):
return "'%s'" % value.hex()
elif isinstance(value, bool):
return "1" if value else "0"
else:
return str(value)
def remove_field(self, model, field):
# If the column is an identity column, drop the identity before
# removing the field.
if self._is_identity_column(model._meta.db_table, field.column):
self._drop_identity(model._meta.db_table, field.column)
super().remove_field(model, field)
def delete_model(self, model):
# Run superclass action
super().delete_model(model)
# Clean up manually created sequence.
self.execute(
"""
DECLARE
i INTEGER;
BEGIN
SELECT COUNT(1) INTO i FROM USER_SEQUENCES
WHERE SEQUENCE_NAME = '%(sq_name)s';
IF i = 1 THEN
EXECUTE IMMEDIATE 'DROP SEQUENCE "%(sq_name)s"';
END IF;
END;
/"""
% {
"sq_name": self.connection.ops._get_no_autofield_sequence_name(
model._meta.db_table
)
}
)
def alter_field(self, model, old_field, new_field, strict=False):
try:
super().alter_field(model, old_field, new_field, strict)
except DatabaseError as e:
description = str(e)
# If we're changing type to an unsupported type we need a
# SQLite-ish workaround
if "ORA-22858" in description or "ORA-22859" in description:
self._alter_field_type_workaround(model, old_field, new_field)
# If an identity column is changing to a non-numeric type, drop the
# identity first.
elif "ORA-30675" in description:
self._drop_identity(model._meta.db_table, old_field.column)
self.alter_field(model, old_field, new_field, strict)
# If a primary key column is changing to an identity column, drop
# the primary key first.
elif "ORA-30673" in description and old_field.primary_key:
self._delete_primary_key(model, strict=True)
self._alter_field_type_workaround(model, old_field, new_field)
# If a collation is changing on a primary key, drop the primary key
# first.
elif "ORA-43923" in description and old_field.primary_key:
self._delete_primary_key(model, strict=True)
self.alter_field(model, old_field, new_field, strict)
# Restore a primary key, if needed.
if new_field.primary_key:
self.execute(self._create_primary_key_sql(model, new_field))
else:
raise
def _alter_field_type_workaround(self, model, old_field, new_field):
"""
Oracle refuses to change from some type to other type.
What we need to do instead is:
- Add a nullable version of the desired field with a temporary name. If
the new column is an auto field, then the temporary column can't be
nullable.
- Update the table to transfer values from old to new
- Drop old column
- Rename the new column and possibly drop the nullable property
"""
# Make a new field that's like the new one but with a temporary
# column name.
new_temp_field = copy.deepcopy(new_field)
new_temp_field.null = new_field.get_internal_type() not in (
"AutoField",
"BigAutoField",
"SmallAutoField",
)
new_temp_field.column = self._generate_temp_name(new_field.column)
# Add it
self.add_field(model, new_temp_field)
# Explicit data type conversion
# https://docs.oracle.com/en/database/oracle/oracle-database/21/sqlrf
# /Data-Type-Comparison-Rules.html#GUID-D0C5A47E-6F93-4C2D-9E49-4F2B86B359DD
new_value = self.quote_name(old_field.column)
old_type = old_field.db_type(self.connection)
if re.match("^N?CLOB", old_type):
new_value = "TO_CHAR(%s)" % new_value
old_type = "VARCHAR2"
if re.match("^N?VARCHAR2", old_type):
new_internal_type = new_field.get_internal_type()
if new_internal_type == "DateField":
new_value = "TO_DATE(%s, 'YYYY-MM-DD')" % new_value
elif new_internal_type == "DateTimeField":
new_value = "TO_TIMESTAMP(%s, 'YYYY-MM-DD HH24:MI:SS.FF')" % new_value
elif new_internal_type == "TimeField":
# TimeField are stored as TIMESTAMP with a 1900-01-01 date part.
new_value = "CONCAT('1900-01-01 ', %s)" % new_value
new_value = "TO_TIMESTAMP(%s, 'YYYY-MM-DD HH24:MI:SS.FF')" % new_value
# Transfer values across
self.execute(
"UPDATE %s set %s=%s"
% (
self.quote_name(model._meta.db_table),
self.quote_name(new_temp_field.column),
new_value,
)
)
# Drop the old field
self.remove_field(model, old_field)
# Rename and possibly make the new field NOT NULL
super().alter_field(model, new_temp_field, new_field)
# Recreate foreign key (if necessary) because the old field is not
# passed to the alter_field() and data types of new_temp_field and
# new_field always match.
new_type = new_field.db_type(self.connection)
if (
(old_field.primary_key and new_field.primary_key)
or (old_field.unique and new_field.unique)
) and old_type != new_type:
for _, rel in _related_non_m2m_objects(new_temp_field, new_field):
if rel.field.db_constraint:
self.execute(
self._create_fk_sql(rel.related_model, rel.field, "_fk")
)
def _alter_column_type_sql(
self, model, old_field, new_field, new_type, old_collation, new_collation
):
auto_field_types = {"AutoField", "BigAutoField", "SmallAutoField"}
# Drop the identity if migrating away from AutoField.
if (
old_field.get_internal_type() in auto_field_types
and new_field.get_internal_type() not in auto_field_types
and self._is_identity_column(model._meta.db_table, new_field.column)
):
self._drop_identity(model._meta.db_table, new_field.column)
return super()._alter_column_type_sql(
model, old_field, new_field, new_type, old_collation, new_collation
)
def normalize_name(self, name):
"""
Get the properly shortened and uppercased identifier as returned by
quote_name() but without the quotes.
"""
nn = self.quote_name(name)
if nn[0] == '"' and nn[-1] == '"':
nn = nn[1:-1]
return nn
def _generate_temp_name(self, for_name):
"""Generate temporary names for workarounds that need temp columns."""
suffix = hex(hash(for_name)).upper()[1:]
return self.normalize_name(for_name + "_" + suffix)
def prepare_default(self, value):
return self.quote_value(value)
def _field_should_be_indexed(self, model, field):
create_index = super()._field_should_be_indexed(model, field)
db_type = field.db_type(self.connection)
if (
db_type is not None
and db_type.lower() in self.connection._limited_data_types
):
return False
return create_index
def _is_identity_column(self, table_name, column_name):
with self.connection.cursor() as cursor:
cursor.execute(
"""
SELECT
CASE WHEN identity_column = 'YES' THEN 1 ELSE 0 END
FROM user_tab_cols
WHERE table_name = %s AND
column_name = %s
""",
[self.normalize_name(table_name), self.normalize_name(column_name)],
)
row = cursor.fetchone()
return row[0] if row else False
def _drop_identity(self, table_name, column_name):
self.execute(
"ALTER TABLE %(table)s MODIFY %(column)s DROP IDENTITY"
% {
"table": self.quote_name(table_name),
"column": self.quote_name(column_name),
}
)
def _get_default_collation(self, table_name):
with self.connection.cursor() as cursor:
cursor.execute(
"""
SELECT default_collation FROM user_tables WHERE table_name = %s
""",
[self.normalize_name(table_name)],
)
return cursor.fetchone()[0]
def _collate_sql(self, collation, old_collation=None, table_name=None):
if collation is None and old_collation is not None:
collation = self._get_default_collation(table_name)
return super()._collate_sql(collation, old_collation, table_name)

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import datetime
from .base import Database
class InsertVar:
"""
A late-binding cursor variable that can be passed to Cursor.execute
as a parameter, in order to receive the id of the row created by an
insert statement.
"""
types = {
"AutoField": int,
"BigAutoField": int,
"SmallAutoField": int,
"IntegerField": int,
"BigIntegerField": int,
"SmallIntegerField": int,
"PositiveBigIntegerField": int,
"PositiveSmallIntegerField": int,
"PositiveIntegerField": int,
"FloatField": Database.NATIVE_FLOAT,
"DateTimeField": Database.TIMESTAMP,
"DateField": Database.Date,
"DecimalField": Database.NUMBER,
}
def __init__(self, field):
internal_type = getattr(field, "target_field", field).get_internal_type()
self.db_type = self.types.get(internal_type, str)
self.bound_param = None
def bind_parameter(self, cursor):
self.bound_param = cursor.cursor.var(self.db_type)
return self.bound_param
def get_value(self):
return self.bound_param.getvalue()
class Oracle_datetime(datetime.datetime):
"""
A datetime object, with an additional class attribute
to tell cx_Oracle to save the microseconds too.
"""
input_size = Database.TIMESTAMP
@classmethod
def from_datetime(cls, dt):
return Oracle_datetime(
dt.year,
dt.month,
dt.day,
dt.hour,
dt.minute,
dt.second,
dt.microsecond,
)
class BulkInsertMapper:
BLOB = "TO_BLOB(%s)"
DATE = "TO_DATE(%s)"
INTERVAL = "CAST(%s as INTERVAL DAY(9) TO SECOND(6))"
NCLOB = "TO_NCLOB(%s)"
NUMBER = "TO_NUMBER(%s)"
TIMESTAMP = "TO_TIMESTAMP(%s)"
types = {
"AutoField": NUMBER,
"BigAutoField": NUMBER,
"BigIntegerField": NUMBER,
"BinaryField": BLOB,
"BooleanField": NUMBER,
"DateField": DATE,
"DateTimeField": TIMESTAMP,
"DecimalField": NUMBER,
"DurationField": INTERVAL,
"FloatField": NUMBER,
"IntegerField": NUMBER,
"PositiveBigIntegerField": NUMBER,
"PositiveIntegerField": NUMBER,
"PositiveSmallIntegerField": NUMBER,
"SmallAutoField": NUMBER,
"SmallIntegerField": NUMBER,
"TextField": NCLOB,
"TimeField": TIMESTAMP,
}
def dsn(settings_dict):
if settings_dict["PORT"]:
host = settings_dict["HOST"].strip() or "localhost"
return Database.makedsn(host, int(settings_dict["PORT"]), settings_dict["NAME"])
return settings_dict["NAME"]

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from django.core import checks
from django.db.backends.base.validation import BaseDatabaseValidation
class DatabaseValidation(BaseDatabaseValidation):
def check_field_type(self, field, field_type):
"""Oracle doesn't support a database index on some data types."""
errors = []
if field.db_index and field_type.lower() in self.connection._limited_data_types:
errors.append(
checks.Warning(
"Oracle does not support a database index on %s columns."
% field_type,
hint=(
"An index won't be created. Silence this warning if "
"you don't care about it."
),
obj=field,
id="fields.W162",
)
)
return errors

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"""
PostgreSQL database backend for Django.
Requires psycopg2 >= 2.8.4 or psycopg >= 3.1.8
"""
import asyncio
import threading
import warnings
from contextlib import contextmanager
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db import DatabaseError as WrappedDatabaseError
from django.db import connections
from django.db.backends.base.base import BaseDatabaseWrapper
from django.db.backends.utils import CursorDebugWrapper as BaseCursorDebugWrapper
from django.utils.asyncio import async_unsafe
from django.utils.functional import cached_property
from django.utils.safestring import SafeString
from django.utils.version import get_version_tuple
try:
try:
import psycopg as Database
except ImportError:
import psycopg2 as Database
except ImportError:
raise ImproperlyConfigured("Error loading psycopg2 or psycopg module")
def psycopg_version():
version = Database.__version__.split(" ", 1)[0]
return get_version_tuple(version)
if psycopg_version() < (2, 8, 4):
raise ImproperlyConfigured(
f"psycopg2 version 2.8.4 or newer is required; you have {Database.__version__}"
)
if (3,) <= psycopg_version() < (3, 1, 8):
raise ImproperlyConfigured(
f"psycopg version 3.1.8 or newer is required; you have {Database.__version__}"
)
from .psycopg_any import IsolationLevel, is_psycopg3 # NOQA isort:skip
if is_psycopg3:
from psycopg import adapters, sql
from psycopg.pq import Format
from .psycopg_any import get_adapters_template, register_tzloader
TIMESTAMPTZ_OID = adapters.types["timestamptz"].oid
else:
import psycopg2.extensions
import psycopg2.extras
psycopg2.extensions.register_adapter(SafeString, psycopg2.extensions.QuotedString)
psycopg2.extras.register_uuid()
# Register support for inet[] manually so we don't have to handle the Inet()
# object on load all the time.
INETARRAY_OID = 1041
INETARRAY = psycopg2.extensions.new_array_type(
(INETARRAY_OID,),
"INETARRAY",
psycopg2.extensions.UNICODE,
)
psycopg2.extensions.register_type(INETARRAY)
# Some of these import psycopg, so import them after checking if it's installed.
from .client import DatabaseClient # NOQA isort:skip
from .creation import DatabaseCreation # NOQA isort:skip
from .features import DatabaseFeatures # NOQA isort:skip
from .introspection import DatabaseIntrospection # NOQA isort:skip
from .operations import DatabaseOperations # NOQA isort:skip
from .schema import DatabaseSchemaEditor # NOQA isort:skip
def _get_varchar_column(data):
if data["max_length"] is None:
return "varchar"
return "varchar(%(max_length)s)" % data
class DatabaseWrapper(BaseDatabaseWrapper):
vendor = "postgresql"
display_name = "PostgreSQL"
# This dictionary maps Field objects to their associated PostgreSQL column
# types, as strings. Column-type strings can contain format strings; they'll
# be interpolated against the values of Field.__dict__ before being output.
# If a column type is set to None, it won't be included in the output.
data_types = {
"AutoField": "integer",
"BigAutoField": "bigint",
"BinaryField": "bytea",
"BooleanField": "boolean",
"CharField": _get_varchar_column,
"DateField": "date",
"DateTimeField": "timestamp with time zone",
"DecimalField": "numeric(%(max_digits)s, %(decimal_places)s)",
"DurationField": "interval",
"FileField": "varchar(%(max_length)s)",
"FilePathField": "varchar(%(max_length)s)",
"FloatField": "double precision",
"IntegerField": "integer",
"BigIntegerField": "bigint",
"IPAddressField": "inet",
"GenericIPAddressField": "inet",
"JSONField": "jsonb",
"OneToOneField": "integer",
"PositiveBigIntegerField": "bigint",
"PositiveIntegerField": "integer",
"PositiveSmallIntegerField": "smallint",
"SlugField": "varchar(%(max_length)s)",
"SmallAutoField": "smallint",
"SmallIntegerField": "smallint",
"TextField": "text",
"TimeField": "time",
"UUIDField": "uuid",
}
data_type_check_constraints = {
"PositiveBigIntegerField": '"%(column)s" >= 0',
"PositiveIntegerField": '"%(column)s" >= 0',
"PositiveSmallIntegerField": '"%(column)s" >= 0',
}
data_types_suffix = {
"AutoField": "GENERATED BY DEFAULT AS IDENTITY",
"BigAutoField": "GENERATED BY DEFAULT AS IDENTITY",
"SmallAutoField": "GENERATED BY DEFAULT AS IDENTITY",
}
operators = {
"exact": "= %s",
"iexact": "= UPPER(%s)",
"contains": "LIKE %s",
"icontains": "LIKE UPPER(%s)",
"regex": "~ %s",
"iregex": "~* %s",
"gt": "> %s",
"gte": ">= %s",
"lt": "< %s",
"lte": "<= %s",
"startswith": "LIKE %s",
"endswith": "LIKE %s",
"istartswith": "LIKE UPPER(%s)",
"iendswith": "LIKE UPPER(%s)",
}
# The patterns below are used to generate SQL pattern lookup clauses when
# the right-hand side of the lookup isn't a raw string (it might be an expression
# or the result of a bilateral transformation).
# In those cases, special characters for LIKE operators (e.g. \, *, _) should be
# escaped on database side.
#
# Note: we use str.format() here for readability as '%' is used as a wildcard for
# the LIKE operator.
pattern_esc = (
r"REPLACE(REPLACE(REPLACE({}, E'\\', E'\\\\'), E'%%', E'\\%%'), E'_', E'\\_')"
)
pattern_ops = {
"contains": "LIKE '%%' || {} || '%%'",
"icontains": "LIKE '%%' || UPPER({}) || '%%'",
"startswith": "LIKE {} || '%%'",
"istartswith": "LIKE UPPER({}) || '%%'",
"endswith": "LIKE '%%' || {}",
"iendswith": "LIKE '%%' || UPPER({})",
}
Database = Database
SchemaEditorClass = DatabaseSchemaEditor
# Classes instantiated in __init__().
client_class = DatabaseClient
creation_class = DatabaseCreation
features_class = DatabaseFeatures
introspection_class = DatabaseIntrospection
ops_class = DatabaseOperations
# PostgreSQL backend-specific attributes.
_named_cursor_idx = 0
def get_database_version(self):
"""
Return a tuple of the database's version.
E.g. for pg_version 120004, return (12, 4).
"""
return divmod(self.pg_version, 10000)
def get_connection_params(self):
settings_dict = self.settings_dict
# None may be used to connect to the default 'postgres' db
if settings_dict["NAME"] == "" and not settings_dict.get("OPTIONS", {}).get(
"service"
):
raise ImproperlyConfigured(
"settings.DATABASES is improperly configured. "
"Please supply the NAME or OPTIONS['service'] value."
)
if len(settings_dict["NAME"] or "") > self.ops.max_name_length():
raise ImproperlyConfigured(
"The database name '%s' (%d characters) is longer than "
"PostgreSQL's limit of %d characters. Supply a shorter NAME "
"in settings.DATABASES."
% (
settings_dict["NAME"],
len(settings_dict["NAME"]),
self.ops.max_name_length(),
)
)
if settings_dict["NAME"]:
conn_params = {
"dbname": settings_dict["NAME"],
**settings_dict["OPTIONS"],
}
elif settings_dict["NAME"] is None:
# Connect to the default 'postgres' db.
settings_dict.get("OPTIONS", {}).pop("service", None)
conn_params = {"dbname": "postgres", **settings_dict["OPTIONS"]}
else:
conn_params = {**settings_dict["OPTIONS"]}
conn_params["client_encoding"] = "UTF8"
conn_params.pop("assume_role", None)
conn_params.pop("isolation_level", None)
server_side_binding = conn_params.pop("server_side_binding", None)
conn_params.setdefault(
"cursor_factory",
ServerBindingCursor
if is_psycopg3 and server_side_binding is True
else Cursor,
)
if settings_dict["USER"]:
conn_params["user"] = settings_dict["USER"]
if settings_dict["PASSWORD"]:
conn_params["password"] = settings_dict["PASSWORD"]
if settings_dict["HOST"]:
conn_params["host"] = settings_dict["HOST"]
if settings_dict["PORT"]:
conn_params["port"] = settings_dict["PORT"]
if is_psycopg3:
conn_params["context"] = get_adapters_template(
settings.USE_TZ, self.timezone
)
# Disable prepared statements by default to keep connection poolers
# working. Can be reenabled via OPTIONS in the settings dict.
conn_params["prepare_threshold"] = conn_params.pop(
"prepare_threshold", None
)
return conn_params
@async_unsafe
def get_new_connection(self, conn_params):
# self.isolation_level must be set:
# - after connecting to the database in order to obtain the database's
# default when no value is explicitly specified in options.
# - before calling _set_autocommit() because if autocommit is on, that
# will set connection.isolation_level to ISOLATION_LEVEL_AUTOCOMMIT.
options = self.settings_dict["OPTIONS"]
set_isolation_level = False
try:
isolation_level_value = options["isolation_level"]
except KeyError:
self.isolation_level = IsolationLevel.READ_COMMITTED
else:
# Set the isolation level to the value from OPTIONS.
try:
self.isolation_level = IsolationLevel(isolation_level_value)
set_isolation_level = True
except ValueError:
raise ImproperlyConfigured(
f"Invalid transaction isolation level {isolation_level_value} "
f"specified. Use one of the psycopg.IsolationLevel values."
)
connection = self.Database.connect(**conn_params)
if set_isolation_level:
connection.isolation_level = self.isolation_level
if not is_psycopg3:
# Register dummy loads() to avoid a round trip from psycopg2's
# decode to json.dumps() to json.loads(), when using a custom
# decoder in JSONField.
psycopg2.extras.register_default_jsonb(
conn_or_curs=connection, loads=lambda x: x
)
return connection
def ensure_timezone(self):
if self.connection is None:
return False
conn_timezone_name = self.connection.info.parameter_status("TimeZone")
timezone_name = self.timezone_name
if timezone_name and conn_timezone_name != timezone_name:
with self.connection.cursor() as cursor:
cursor.execute(self.ops.set_time_zone_sql(), [timezone_name])
return True
return False
def ensure_role(self):
if self.connection is None:
return False
if new_role := self.settings_dict.get("OPTIONS", {}).get("assume_role"):
with self.connection.cursor() as cursor:
sql = self.ops.compose_sql("SET ROLE %s", [new_role])
cursor.execute(sql)
return True
return False
def init_connection_state(self):
super().init_connection_state()
# Commit after setting the time zone.
commit_tz = self.ensure_timezone()
# Set the role on the connection. This is useful if the credential used
# to login is not the same as the role that owns database resources. As
# can be the case when using temporary or ephemeral credentials.
commit_role = self.ensure_role()
if (commit_role or commit_tz) and not self.get_autocommit():
self.connection.commit()
@async_unsafe
def create_cursor(self, name=None):
if name:
# In autocommit mode, the cursor will be used outside of a
# transaction, hence use a holdable cursor.
cursor = self.connection.cursor(
name, scrollable=False, withhold=self.connection.autocommit
)
else:
cursor = self.connection.cursor()
if is_psycopg3:
# Register the cursor timezone only if the connection disagrees, to
# avoid copying the adapter map.
tzloader = self.connection.adapters.get_loader(TIMESTAMPTZ_OID, Format.TEXT)
if self.timezone != tzloader.timezone:
register_tzloader(self.timezone, cursor)
else:
cursor.tzinfo_factory = self.tzinfo_factory if settings.USE_TZ else None
return cursor
def tzinfo_factory(self, offset):
return self.timezone
@async_unsafe
def chunked_cursor(self):
self._named_cursor_idx += 1
# Get the current async task
# Note that right now this is behind @async_unsafe, so this is
# unreachable, but in future we'll start loosening this restriction.
# For now, it's here so that every use of "threading" is
# also async-compatible.
try:
current_task = asyncio.current_task()
except RuntimeError:
current_task = None
# Current task can be none even if the current_task call didn't error
if current_task:
task_ident = str(id(current_task))
else:
task_ident = "sync"
# Use that and the thread ident to get a unique name
return self._cursor(
name="_django_curs_%d_%s_%d"
% (
# Avoid reusing name in other threads / tasks
threading.current_thread().ident,
task_ident,
self._named_cursor_idx,
)
)
def _set_autocommit(self, autocommit):
with self.wrap_database_errors:
self.connection.autocommit = autocommit
def check_constraints(self, table_names=None):
"""
Check constraints by setting them to immediate. Return them to deferred
afterward.
"""
with self.cursor() as cursor:
cursor.execute("SET CONSTRAINTS ALL IMMEDIATE")
cursor.execute("SET CONSTRAINTS ALL DEFERRED")
def is_usable(self):
try:
# Use a psycopg cursor directly, bypassing Django's utilities.
with self.connection.cursor() as cursor:
cursor.execute("SELECT 1")
except Database.Error:
return False
else:
return True
@contextmanager
def _nodb_cursor(self):
cursor = None
try:
with super()._nodb_cursor() as cursor:
yield cursor
except (Database.DatabaseError, WrappedDatabaseError):
if cursor is not None:
raise
warnings.warn(
"Normally Django will use a connection to the 'postgres' database "
"to avoid running initialization queries against the production "
"database when it's not needed (for example, when running tests). "
"Django was unable to create a connection to the 'postgres' database "
"and will use the first PostgreSQL database instead.",
RuntimeWarning,
)
for connection in connections.all():
if (
connection.vendor == "postgresql"
and connection.settings_dict["NAME"] != "postgres"
):
conn = self.__class__(
{
**self.settings_dict,
"NAME": connection.settings_dict["NAME"],
},
alias=self.alias,
)
try:
with conn.cursor() as cursor:
yield cursor
finally:
conn.close()
break
else:
raise
@cached_property
def pg_version(self):
with self.temporary_connection():
return self.connection.info.server_version
def make_debug_cursor(self, cursor):
return CursorDebugWrapper(cursor, self)
if is_psycopg3:
class CursorMixin:
"""
A subclass of psycopg cursor implementing callproc.
"""
def callproc(self, name, args=None):
if not isinstance(name, sql.Identifier):
name = sql.Identifier(name)
qparts = [sql.SQL("SELECT * FROM "), name, sql.SQL("(")]
if args:
for item in args:
qparts.append(sql.Literal(item))
qparts.append(sql.SQL(","))
del qparts[-1]
qparts.append(sql.SQL(")"))
stmt = sql.Composed(qparts)
self.execute(stmt)
return args
class ServerBindingCursor(CursorMixin, Database.Cursor):
pass
class Cursor(CursorMixin, Database.ClientCursor):
pass
class CursorDebugWrapper(BaseCursorDebugWrapper):
def copy(self, statement):
with self.debug_sql(statement):
return self.cursor.copy(statement)
else:
Cursor = psycopg2.extensions.cursor
class CursorDebugWrapper(BaseCursorDebugWrapper):
def copy_expert(self, sql, file, *args):
with self.debug_sql(sql):
return self.cursor.copy_expert(sql, file, *args)
def copy_to(self, file, table, *args, **kwargs):
with self.debug_sql(sql="COPY %s TO STDOUT" % table):
return self.cursor.copy_to(file, table, *args, **kwargs)

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import signal
from django.db.backends.base.client import BaseDatabaseClient
class DatabaseClient(BaseDatabaseClient):
executable_name = "psql"
@classmethod
def settings_to_cmd_args_env(cls, settings_dict, parameters):
args = [cls.executable_name]
options = settings_dict.get("OPTIONS", {})
host = settings_dict.get("HOST")
port = settings_dict.get("PORT")
dbname = settings_dict.get("NAME")
user = settings_dict.get("USER")
passwd = settings_dict.get("PASSWORD")
passfile = options.get("passfile")
service = options.get("service")
sslmode = options.get("sslmode")
sslrootcert = options.get("sslrootcert")
sslcert = options.get("sslcert")
sslkey = options.get("sslkey")
if not dbname and not service:
# Connect to the default 'postgres' db.
dbname = "postgres"
if user:
args += ["-U", user]
if host:
args += ["-h", host]
if port:
args += ["-p", str(port)]
args.extend(parameters)
if dbname:
args += [dbname]
env = {}
if passwd:
env["PGPASSWORD"] = str(passwd)
if service:
env["PGSERVICE"] = str(service)
if sslmode:
env["PGSSLMODE"] = str(sslmode)
if sslrootcert:
env["PGSSLROOTCERT"] = str(sslrootcert)
if sslcert:
env["PGSSLCERT"] = str(sslcert)
if sslkey:
env["PGSSLKEY"] = str(sslkey)
if passfile:
env["PGPASSFILE"] = str(passfile)
return args, (env or None)
def runshell(self, parameters):
sigint_handler = signal.getsignal(signal.SIGINT)
try:
# Allow SIGINT to pass to psql to abort queries.
signal.signal(signal.SIGINT, signal.SIG_IGN)
super().runshell(parameters)
finally:
# Restore the original SIGINT handler.
signal.signal(signal.SIGINT, sigint_handler)

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import sys
from django.core.exceptions import ImproperlyConfigured
from django.db.backends.base.creation import BaseDatabaseCreation
from django.db.backends.postgresql.psycopg_any import errors
from django.db.backends.utils import strip_quotes
class DatabaseCreation(BaseDatabaseCreation):
def _quote_name(self, name):
return self.connection.ops.quote_name(name)
def _get_database_create_suffix(self, encoding=None, template=None):
suffix = ""
if encoding:
suffix += " ENCODING '{}'".format(encoding)
if template:
suffix += " TEMPLATE {}".format(self._quote_name(template))
return suffix and "WITH" + suffix
def sql_table_creation_suffix(self):
test_settings = self.connection.settings_dict["TEST"]
if test_settings.get("COLLATION") is not None:
raise ImproperlyConfigured(
"PostgreSQL does not support collation setting at database "
"creation time."
)
return self._get_database_create_suffix(
encoding=test_settings["CHARSET"],
template=test_settings.get("TEMPLATE"),
)
def _database_exists(self, cursor, database_name):
cursor.execute(
"SELECT 1 FROM pg_catalog.pg_database WHERE datname = %s",
[strip_quotes(database_name)],
)
return cursor.fetchone() is not None
def _execute_create_test_db(self, cursor, parameters, keepdb=False):
try:
if keepdb and self._database_exists(cursor, parameters["dbname"]):
# If the database should be kept and it already exists, don't
# try to create a new one.
return
super()._execute_create_test_db(cursor, parameters, keepdb)
except Exception as e:
if not isinstance(e.__cause__, errors.DuplicateDatabase):
# All errors except "database already exists" cancel tests.
self.log("Got an error creating the test database: %s" % e)
sys.exit(2)
elif not keepdb:
# If the database should be kept, ignore "database already
# exists".
raise
def _clone_test_db(self, suffix, verbosity, keepdb=False):
# CREATE DATABASE ... WITH TEMPLATE ... requires closing connections
# to the template database.
self.connection.close()
source_database_name = self.connection.settings_dict["NAME"]
target_database_name = self.get_test_db_clone_settings(suffix)["NAME"]
test_db_params = {
"dbname": self._quote_name(target_database_name),
"suffix": self._get_database_create_suffix(template=source_database_name),
}
with self._nodb_cursor() as cursor:
try:
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception:
try:
if verbosity >= 1:
self.log(
"Destroying old test database for alias %s..."
% (
self._get_database_display_str(
verbosity, target_database_name
),
)
)
cursor.execute("DROP DATABASE %(dbname)s" % test_db_params)
self._execute_create_test_db(cursor, test_db_params, keepdb)
except Exception as e:
self.log("Got an error cloning the test database: %s" % e)
sys.exit(2)

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import operator
from django.db import DataError, InterfaceError
from django.db.backends.base.features import BaseDatabaseFeatures
from django.db.backends.postgresql.psycopg_any import is_psycopg3
from django.utils.functional import cached_property
class DatabaseFeatures(BaseDatabaseFeatures):
minimum_database_version = (12,)
allows_group_by_selected_pks = True
can_return_columns_from_insert = True
can_return_rows_from_bulk_insert = True
has_real_datatype = True
has_native_uuid_field = True
has_native_duration_field = True
has_native_json_field = True
can_defer_constraint_checks = True
has_select_for_update = True
has_select_for_update_nowait = True
has_select_for_update_of = True
has_select_for_update_skip_locked = True
has_select_for_no_key_update = True
can_release_savepoints = True
supports_comments = True
supports_tablespaces = True
supports_transactions = True
can_introspect_materialized_views = True
can_distinct_on_fields = True
can_rollback_ddl = True
schema_editor_uses_clientside_param_binding = True
supports_combined_alters = True
nulls_order_largest = True
closed_cursor_error_class = InterfaceError
greatest_least_ignores_nulls = True
can_clone_databases = True
supports_temporal_subtraction = True
supports_slicing_ordering_in_compound = True
create_test_procedure_without_params_sql = """
CREATE FUNCTION test_procedure () RETURNS void AS $$
DECLARE
V_I INTEGER;
BEGIN
V_I := 1;
END;
$$ LANGUAGE plpgsql;"""
create_test_procedure_with_int_param_sql = """
CREATE FUNCTION test_procedure (P_I INTEGER) RETURNS void AS $$
DECLARE
V_I INTEGER;
BEGIN
V_I := P_I;
END;
$$ LANGUAGE plpgsql;"""
create_test_table_with_composite_primary_key = """
CREATE TABLE test_table_composite_pk (
column_1 INTEGER NOT NULL,
column_2 INTEGER NOT NULL,
PRIMARY KEY(column_1, column_2)
)
"""
requires_casted_case_in_updates = True
supports_over_clause = True
only_supports_unbounded_with_preceding_and_following = True
supports_aggregate_filter_clause = True
supported_explain_formats = {"JSON", "TEXT", "XML", "YAML"}
supports_deferrable_unique_constraints = True
has_json_operators = True
json_key_contains_list_matching_requires_list = True
supports_update_conflicts = True
supports_update_conflicts_with_target = True
supports_covering_indexes = True
can_rename_index = True
test_collations = {
"non_default": "sv-x-icu",
"swedish_ci": "sv-x-icu",
}
test_now_utc_template = "STATEMENT_TIMESTAMP() AT TIME ZONE 'UTC'"
django_test_skips = {
"opclasses are PostgreSQL only.": {
"indexes.tests.SchemaIndexesNotPostgreSQLTests."
"test_create_index_ignores_opclasses",
},
"PostgreSQL requires casting to text.": {
"lookup.tests.LookupTests.test_textfield_exact_null",
},
}
@cached_property
def django_test_expected_failures(self):
expected_failures = set()
if self.uses_server_side_binding:
expected_failures.update(
{
# Parameters passed to expressions in SELECT and GROUP BY
# clauses are not recognized as the same values when using
# server-side binding cursors (#34255).
"aggregation.tests.AggregateTestCase."
"test_group_by_nested_expression_with_params",
}
)
return expected_failures
@cached_property
def uses_server_side_binding(self):
options = self.connection.settings_dict["OPTIONS"]
return is_psycopg3 and options.get("server_side_binding") is True
@cached_property
def prohibits_null_characters_in_text_exception(self):
if is_psycopg3:
return DataError, "PostgreSQL text fields cannot contain NUL (0x00) bytes"
else:
return ValueError, "A string literal cannot contain NUL (0x00) characters."
@cached_property
def introspected_field_types(self):
return {
**super().introspected_field_types,
"PositiveBigIntegerField": "BigIntegerField",
"PositiveIntegerField": "IntegerField",
"PositiveSmallIntegerField": "SmallIntegerField",
}
@cached_property
def is_postgresql_13(self):
return self.connection.pg_version >= 130000
@cached_property
def is_postgresql_14(self):
return self.connection.pg_version >= 140000
has_bit_xor = property(operator.attrgetter("is_postgresql_14"))
supports_covering_spgist_indexes = property(operator.attrgetter("is_postgresql_14"))
supports_unlimited_charfield = True

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from collections import namedtuple
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.introspection import FieldInfo as BaseFieldInfo
from django.db.backends.base.introspection import TableInfo as BaseTableInfo
from django.db.models import Index
FieldInfo = namedtuple("FieldInfo", BaseFieldInfo._fields + ("is_autofield", "comment"))
TableInfo = namedtuple("TableInfo", BaseTableInfo._fields + ("comment",))
class DatabaseIntrospection(BaseDatabaseIntrospection):
# Maps type codes to Django Field types.
data_types_reverse = {
16: "BooleanField",
17: "BinaryField",
20: "BigIntegerField",
21: "SmallIntegerField",
23: "IntegerField",
25: "TextField",
700: "FloatField",
701: "FloatField",
869: "GenericIPAddressField",
1042: "CharField", # blank-padded
1043: "CharField",
1082: "DateField",
1083: "TimeField",
1114: "DateTimeField",
1184: "DateTimeField",
1186: "DurationField",
1266: "TimeField",
1700: "DecimalField",
2950: "UUIDField",
3802: "JSONField",
}
# A hook for subclasses.
index_default_access_method = "btree"
ignored_tables = []
def get_field_type(self, data_type, description):
field_type = super().get_field_type(data_type, description)
if description.is_autofield or (
# Required for pre-Django 4.1 serial columns.
description.default
and "nextval" in description.default
):
if field_type == "IntegerField":
return "AutoField"
elif field_type == "BigIntegerField":
return "BigAutoField"
elif field_type == "SmallIntegerField":
return "SmallAutoField"
return field_type
def get_table_list(self, cursor):
"""Return a list of table and view names in the current database."""
cursor.execute(
"""
SELECT
c.relname,
CASE
WHEN c.relispartition THEN 'p'
WHEN c.relkind IN ('m', 'v') THEN 'v'
ELSE 't'
END,
obj_description(c.oid, 'pg_class')
FROM pg_catalog.pg_class c
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
WHERE c.relkind IN ('f', 'm', 'p', 'r', 'v')
AND n.nspname NOT IN ('pg_catalog', 'pg_toast')
AND pg_catalog.pg_table_is_visible(c.oid)
"""
)
return [
TableInfo(*row)
for row in cursor.fetchall()
if row[0] not in self.ignored_tables
]
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface.
"""
# Query the pg_catalog tables as cursor.description does not reliably
# return the nullable property and information_schema.columns does not
# contain details of materialized views.
cursor.execute(
"""
SELECT
a.attname AS column_name,
NOT (a.attnotnull OR (t.typtype = 'd' AND t.typnotnull)) AS is_nullable,
pg_get_expr(ad.adbin, ad.adrelid) AS column_default,
CASE WHEN collname = 'default' THEN NULL ELSE collname END AS collation,
a.attidentity != '' AS is_autofield,
col_description(a.attrelid, a.attnum) AS column_comment
FROM pg_attribute a
LEFT JOIN pg_attrdef ad ON a.attrelid = ad.adrelid AND a.attnum = ad.adnum
LEFT JOIN pg_collation co ON a.attcollation = co.oid
JOIN pg_type t ON a.atttypid = t.oid
JOIN pg_class c ON a.attrelid = c.oid
JOIN pg_namespace n ON c.relnamespace = n.oid
WHERE c.relkind IN ('f', 'm', 'p', 'r', 'v')
AND c.relname = %s
AND n.nspname NOT IN ('pg_catalog', 'pg_toast')
AND pg_catalog.pg_table_is_visible(c.oid)
""",
[table_name],
)
field_map = {line[0]: line[1:] for line in cursor.fetchall()}
cursor.execute(
"SELECT * FROM %s LIMIT 1" % self.connection.ops.quote_name(table_name)
)
return [
FieldInfo(
line.name,
line.type_code,
# display_size is always None on psycopg2.
line.internal_size if line.display_size is None else line.display_size,
line.internal_size,
line.precision,
line.scale,
*field_map[line.name],
)
for line in cursor.description
]
def get_sequences(self, cursor, table_name, table_fields=()):
cursor.execute(
"""
SELECT
s.relname AS sequence_name,
a.attname AS colname
FROM
pg_class s
JOIN pg_depend d ON d.objid = s.oid
AND d.classid = 'pg_class'::regclass
AND d.refclassid = 'pg_class'::regclass
JOIN pg_attribute a ON d.refobjid = a.attrelid
AND d.refobjsubid = a.attnum
JOIN pg_class tbl ON tbl.oid = d.refobjid
AND tbl.relname = %s
AND pg_catalog.pg_table_is_visible(tbl.oid)
WHERE
s.relkind = 'S';
""",
[table_name],
)
return [
{"name": row[0], "table": table_name, "column": row[1]}
for row in cursor.fetchall()
]
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {field_name: (field_name_other_table, other_table)}
representing all foreign keys in the given table.
"""
cursor.execute(
"""
SELECT a1.attname, c2.relname, a2.attname
FROM pg_constraint con
LEFT JOIN pg_class c1 ON con.conrelid = c1.oid
LEFT JOIN pg_class c2 ON con.confrelid = c2.oid
LEFT JOIN
pg_attribute a1 ON c1.oid = a1.attrelid AND a1.attnum = con.conkey[1]
LEFT JOIN
pg_attribute a2 ON c2.oid = a2.attrelid AND a2.attnum = con.confkey[1]
WHERE
c1.relname = %s AND
con.contype = 'f' AND
c1.relnamespace = c2.relnamespace AND
pg_catalog.pg_table_is_visible(c1.oid)
""",
[table_name],
)
return {row[0]: (row[2], row[1]) for row in cursor.fetchall()}
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index) across
one or more columns. Also retrieve the definition of expression-based
indexes.
"""
constraints = {}
# Loop over the key table, collecting things as constraints. The column
# array must return column names in the same order in which they were
# created.
cursor.execute(
"""
SELECT
c.conname,
array(
SELECT attname
FROM unnest(c.conkey) WITH ORDINALITY cols(colid, arridx)
JOIN pg_attribute AS ca ON cols.colid = ca.attnum
WHERE ca.attrelid = c.conrelid
ORDER BY cols.arridx
),
c.contype,
(SELECT fkc.relname || '.' || fka.attname
FROM pg_attribute AS fka
JOIN pg_class AS fkc ON fka.attrelid = fkc.oid
WHERE fka.attrelid = c.confrelid AND fka.attnum = c.confkey[1]),
cl.reloptions
FROM pg_constraint AS c
JOIN pg_class AS cl ON c.conrelid = cl.oid
WHERE cl.relname = %s AND pg_catalog.pg_table_is_visible(cl.oid)
""",
[table_name],
)
for constraint, columns, kind, used_cols, options in cursor.fetchall():
constraints[constraint] = {
"columns": columns,
"primary_key": kind == "p",
"unique": kind in ["p", "u"],
"foreign_key": tuple(used_cols.split(".", 1)) if kind == "f" else None,
"check": kind == "c",
"index": False,
"definition": None,
"options": options,
}
# Now get indexes
cursor.execute(
"""
SELECT
indexname,
array_agg(attname ORDER BY arridx),
indisunique,
indisprimary,
array_agg(ordering ORDER BY arridx),
amname,
exprdef,
s2.attoptions
FROM (
SELECT
c2.relname as indexname, idx.*, attr.attname, am.amname,
CASE
WHEN idx.indexprs IS NOT NULL THEN
pg_get_indexdef(idx.indexrelid)
END AS exprdef,
CASE am.amname
WHEN %s THEN
CASE (option & 1)
WHEN 1 THEN 'DESC' ELSE 'ASC'
END
END as ordering,
c2.reloptions as attoptions
FROM (
SELECT *
FROM
pg_index i,
unnest(i.indkey, i.indoption)
WITH ORDINALITY koi(key, option, arridx)
) idx
LEFT JOIN pg_class c ON idx.indrelid = c.oid
LEFT JOIN pg_class c2 ON idx.indexrelid = c2.oid
LEFT JOIN pg_am am ON c2.relam = am.oid
LEFT JOIN
pg_attribute attr ON attr.attrelid = c.oid AND attr.attnum = idx.key
WHERE c.relname = %s AND pg_catalog.pg_table_is_visible(c.oid)
) s2
GROUP BY indexname, indisunique, indisprimary, amname, exprdef, attoptions;
""",
[self.index_default_access_method, table_name],
)
for (
index,
columns,
unique,
primary,
orders,
type_,
definition,
options,
) in cursor.fetchall():
if index not in constraints:
basic_index = (
type_ == self.index_default_access_method
and
# '_btree' references
# django.contrib.postgres.indexes.BTreeIndex.suffix.
not index.endswith("_btree")
and options is None
)
constraints[index] = {
"columns": columns if columns != [None] else [],
"orders": orders if orders != [None] else [],
"primary_key": primary,
"unique": unique,
"foreign_key": None,
"check": False,
"index": True,
"type": Index.suffix if basic_index else type_,
"definition": definition,
"options": options,
}
return constraints

404
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import json
from functools import lru_cache, partial
from django.conf import settings
from django.db.backends.base.operations import BaseDatabaseOperations
from django.db.backends.postgresql.psycopg_any import (
Inet,
Jsonb,
errors,
is_psycopg3,
mogrify,
)
from django.db.backends.utils import split_tzname_delta
from django.db.models.constants import OnConflict
from django.utils.regex_helper import _lazy_re_compile
@lru_cache
def get_json_dumps(encoder):
if encoder is None:
return json.dumps
return partial(json.dumps, cls=encoder)
class DatabaseOperations(BaseDatabaseOperations):
cast_char_field_without_max_length = "varchar"
explain_prefix = "EXPLAIN"
explain_options = frozenset(
[
"ANALYZE",
"BUFFERS",
"COSTS",
"SETTINGS",
"SUMMARY",
"TIMING",
"VERBOSE",
"WAL",
]
)
cast_data_types = {
"AutoField": "integer",
"BigAutoField": "bigint",
"SmallAutoField": "smallint",
}
if is_psycopg3:
from psycopg.types import numeric
integerfield_type_map = {
"SmallIntegerField": numeric.Int2,
"IntegerField": numeric.Int4,
"BigIntegerField": numeric.Int8,
"PositiveSmallIntegerField": numeric.Int2,
"PositiveIntegerField": numeric.Int4,
"PositiveBigIntegerField": numeric.Int8,
}
def unification_cast_sql(self, output_field):
internal_type = output_field.get_internal_type()
if internal_type in (
"GenericIPAddressField",
"IPAddressField",
"TimeField",
"UUIDField",
):
# PostgreSQL will resolve a union as type 'text' if input types are
# 'unknown'.
# https://www.postgresql.org/docs/current/typeconv-union-case.html
# These fields cannot be implicitly cast back in the default
# PostgreSQL configuration so we need to explicitly cast them.
# We must also remove components of the type within brackets:
# varchar(255) -> varchar.
return (
"CAST(%%s AS %s)" % output_field.db_type(self.connection).split("(")[0]
)
return "%s"
# EXTRACT format cannot be passed in parameters.
_extract_format_re = _lazy_re_compile(r"[A-Z_]+")
def date_extract_sql(self, lookup_type, sql, params):
# https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-EXTRACT
if lookup_type == "week_day":
# For consistency across backends, we return Sunday=1, Saturday=7.
return f"EXTRACT(DOW FROM {sql}) + 1", params
elif lookup_type == "iso_week_day":
return f"EXTRACT(ISODOW FROM {sql})", params
elif lookup_type == "iso_year":
return f"EXTRACT(ISOYEAR FROM {sql})", params
lookup_type = lookup_type.upper()
if not self._extract_format_re.fullmatch(lookup_type):
raise ValueError(f"Invalid lookup type: {lookup_type!r}")
return f"EXTRACT({lookup_type} FROM {sql})", params
def date_trunc_sql(self, lookup_type, sql, params, tzname=None):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
# https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TRUNC
return f"DATE_TRUNC(%s, {sql})", (lookup_type, *params)
def _prepare_tzname_delta(self, tzname):
tzname, sign, offset = split_tzname_delta(tzname)
if offset:
sign = "-" if sign == "+" else "+"
return f"{tzname}{sign}{offset}"
return tzname
def _convert_sql_to_tz(self, sql, params, tzname):
if tzname and settings.USE_TZ:
tzname_param = self._prepare_tzname_delta(tzname)
return f"{sql} AT TIME ZONE %s", (*params, tzname_param)
return sql, params
def datetime_cast_date_sql(self, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"({sql})::date", params
def datetime_cast_time_sql(self, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"({sql})::time", params
def datetime_extract_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
if lookup_type == "second":
# Truncate fractional seconds.
return f"EXTRACT(SECOND FROM DATE_TRUNC(%s, {sql}))", ("second", *params)
return self.date_extract_sql(lookup_type, sql, params)
def datetime_trunc_sql(self, lookup_type, sql, params, tzname):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
# https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TRUNC
return f"DATE_TRUNC(%s, {sql})", (lookup_type, *params)
def time_extract_sql(self, lookup_type, sql, params):
if lookup_type == "second":
# Truncate fractional seconds.
return f"EXTRACT(SECOND FROM DATE_TRUNC(%s, {sql}))", ("second", *params)
return self.date_extract_sql(lookup_type, sql, params)
def time_trunc_sql(self, lookup_type, sql, params, tzname=None):
sql, params = self._convert_sql_to_tz(sql, params, tzname)
return f"DATE_TRUNC(%s, {sql})::time", (lookup_type, *params)
def deferrable_sql(self):
return " DEFERRABLE INITIALLY DEFERRED"
def fetch_returned_insert_rows(self, cursor):
"""
Given a cursor object that has just performed an INSERT...RETURNING
statement into a table, return the tuple of returned data.
"""
return cursor.fetchall()
def lookup_cast(self, lookup_type, internal_type=None):
lookup = "%s"
# Cast text lookups to text to allow things like filter(x__contains=4)
if lookup_type in (
"iexact",
"contains",
"icontains",
"startswith",
"istartswith",
"endswith",
"iendswith",
"regex",
"iregex",
):
if internal_type in ("IPAddressField", "GenericIPAddressField"):
lookup = "HOST(%s)"
# RemovedInDjango51Warning.
elif internal_type in ("CICharField", "CIEmailField", "CITextField"):
lookup = "%s::citext"
else:
lookup = "%s::text"
# Use UPPER(x) for case-insensitive lookups; it's faster.
if lookup_type in ("iexact", "icontains", "istartswith", "iendswith"):
lookup = "UPPER(%s)" % lookup
return lookup
def no_limit_value(self):
return None
def prepare_sql_script(self, sql):
return [sql]
def quote_name(self, name):
if name.startswith('"') and name.endswith('"'):
return name # Quoting once is enough.
return '"%s"' % name
def compose_sql(self, sql, params):
return mogrify(sql, params, self.connection)
def set_time_zone_sql(self):
return "SELECT set_config('TimeZone', %s, false)"
def sql_flush(self, style, tables, *, reset_sequences=False, allow_cascade=False):
if not tables:
return []
# Perform a single SQL 'TRUNCATE x, y, z...;' statement. It allows us
# to truncate tables referenced by a foreign key in any other table.
sql_parts = [
style.SQL_KEYWORD("TRUNCATE"),
", ".join(style.SQL_FIELD(self.quote_name(table)) for table in tables),
]
if reset_sequences:
sql_parts.append(style.SQL_KEYWORD("RESTART IDENTITY"))
if allow_cascade:
sql_parts.append(style.SQL_KEYWORD("CASCADE"))
return ["%s;" % " ".join(sql_parts)]
def sequence_reset_by_name_sql(self, style, sequences):
# 'ALTER SEQUENCE sequence_name RESTART WITH 1;'... style SQL statements
# to reset sequence indices
sql = []
for sequence_info in sequences:
table_name = sequence_info["table"]
# 'id' will be the case if it's an m2m using an autogenerated
# intermediate table (see BaseDatabaseIntrospection.sequence_list).
column_name = sequence_info["column"] or "id"
sql.append(
"%s setval(pg_get_serial_sequence('%s','%s'), 1, false);"
% (
style.SQL_KEYWORD("SELECT"),
style.SQL_TABLE(self.quote_name(table_name)),
style.SQL_FIELD(column_name),
)
)
return sql
def tablespace_sql(self, tablespace, inline=False):
if inline:
return "USING INDEX TABLESPACE %s" % self.quote_name(tablespace)
else:
return "TABLESPACE %s" % self.quote_name(tablespace)
def sequence_reset_sql(self, style, model_list):
from django.db import models
output = []
qn = self.quote_name
for model in model_list:
# Use `coalesce` to set the sequence for each model to the max pk
# value if there are records, or 1 if there are none. Set the
# `is_called` property (the third argument to `setval`) to true if
# there are records (as the max pk value is already in use),
# otherwise set it to false. Use pg_get_serial_sequence to get the
# underlying sequence name from the table name and column name.
for f in model._meta.local_fields:
if isinstance(f, models.AutoField):
output.append(
"%s setval(pg_get_serial_sequence('%s','%s'), "
"coalesce(max(%s), 1), max(%s) %s null) %s %s;"
% (
style.SQL_KEYWORD("SELECT"),
style.SQL_TABLE(qn(model._meta.db_table)),
style.SQL_FIELD(f.column),
style.SQL_FIELD(qn(f.column)),
style.SQL_FIELD(qn(f.column)),
style.SQL_KEYWORD("IS NOT"),
style.SQL_KEYWORD("FROM"),
style.SQL_TABLE(qn(model._meta.db_table)),
)
)
# Only one AutoField is allowed per model, so don't bother
# continuing.
break
return output
def prep_for_iexact_query(self, x):
return x
def max_name_length(self):
"""
Return the maximum length of an identifier.
The maximum length of an identifier is 63 by default, but can be
changed by recompiling PostgreSQL after editing the NAMEDATALEN
macro in src/include/pg_config_manual.h.
This implementation returns 63, but can be overridden by a custom
database backend that inherits most of its behavior from this one.
"""
return 63
def distinct_sql(self, fields, params):
if fields:
params = [param for param_list in params for param in param_list]
return (["DISTINCT ON (%s)" % ", ".join(fields)], params)
else:
return ["DISTINCT"], []
if is_psycopg3:
def last_executed_query(self, cursor, sql, params):
try:
return self.compose_sql(sql, params)
except errors.DataError:
return None
else:
def last_executed_query(self, cursor, sql, params):
# https://www.psycopg.org/docs/cursor.html#cursor.query
# The query attribute is a Psycopg extension to the DB API 2.0.
if cursor.query is not None:
return cursor.query.decode()
return None
def return_insert_columns(self, fields):
if not fields:
return "", ()
columns = [
"%s.%s"
% (
self.quote_name(field.model._meta.db_table),
self.quote_name(field.column),
)
for field in fields
]
return "RETURNING %s" % ", ".join(columns), ()
def bulk_insert_sql(self, fields, placeholder_rows):
placeholder_rows_sql = (", ".join(row) for row in placeholder_rows)
values_sql = ", ".join("(%s)" % sql for sql in placeholder_rows_sql)
return "VALUES " + values_sql
if is_psycopg3:
def adapt_integerfield_value(self, value, internal_type):
if value is None or hasattr(value, "resolve_expression"):
return value
return self.integerfield_type_map[internal_type](value)
def adapt_datefield_value(self, value):
return value
def adapt_datetimefield_value(self, value):
return value
def adapt_timefield_value(self, value):
return value
def adapt_decimalfield_value(self, value, max_digits=None, decimal_places=None):
return value
def adapt_ipaddressfield_value(self, value):
if value:
return Inet(value)
return None
def adapt_json_value(self, value, encoder):
return Jsonb(value, dumps=get_json_dumps(encoder))
def subtract_temporals(self, internal_type, lhs, rhs):
if internal_type == "DateField":
lhs_sql, lhs_params = lhs
rhs_sql, rhs_params = rhs
params = (*lhs_params, *rhs_params)
return "(interval '1 day' * (%s - %s))" % (lhs_sql, rhs_sql), params
return super().subtract_temporals(internal_type, lhs, rhs)
def explain_query_prefix(self, format=None, **options):
extra = {}
# Normalize options.
if options:
options = {
name.upper(): "true" if value else "false"
for name, value in options.items()
}
for valid_option in self.explain_options:
value = options.pop(valid_option, None)
if value is not None:
extra[valid_option] = value
prefix = super().explain_query_prefix(format, **options)
if format:
extra["FORMAT"] = format
if extra:
prefix += " (%s)" % ", ".join("%s %s" % i for i in extra.items())
return prefix
def on_conflict_suffix_sql(self, fields, on_conflict, update_fields, unique_fields):
if on_conflict == OnConflict.IGNORE:
return "ON CONFLICT DO NOTHING"
if on_conflict == OnConflict.UPDATE:
return "ON CONFLICT(%s) DO UPDATE SET %s" % (
", ".join(map(self.quote_name, unique_fields)),
", ".join(
[
f"{field} = EXCLUDED.{field}"
for field in map(self.quote_name, update_fields)
]
),
)
return super().on_conflict_suffix_sql(
fields,
on_conflict,
update_fields,
unique_fields,
)

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import ipaddress
from functools import lru_cache
try:
from psycopg import ClientCursor, IsolationLevel, adapt, adapters, errors, sql
from psycopg.postgres import types
from psycopg.types.datetime import TimestamptzLoader
from psycopg.types.json import Jsonb
from psycopg.types.range import Range, RangeDumper
from psycopg.types.string import TextLoader
Inet = ipaddress.ip_address
DateRange = DateTimeRange = DateTimeTZRange = NumericRange = Range
RANGE_TYPES = (Range,)
TSRANGE_OID = types["tsrange"].oid
TSTZRANGE_OID = types["tstzrange"].oid
def mogrify(sql, params, connection):
with connection.cursor() as cursor:
return ClientCursor(cursor.connection).mogrify(sql, params)
# Adapters.
class BaseTzLoader(TimestamptzLoader):
"""
Load a PostgreSQL timestamptz using the a specific timezone.
The timezone can be None too, in which case it will be chopped.
"""
timezone = None
def load(self, data):
res = super().load(data)
return res.replace(tzinfo=self.timezone)
def register_tzloader(tz, context):
class SpecificTzLoader(BaseTzLoader):
timezone = tz
context.adapters.register_loader("timestamptz", SpecificTzLoader)
class DjangoRangeDumper(RangeDumper):
"""A Range dumper customized for Django."""
def upgrade(self, obj, format):
# Dump ranges containing naive datetimes as tstzrange, because
# Django doesn't use tz-aware ones.
dumper = super().upgrade(obj, format)
if dumper is not self and dumper.oid == TSRANGE_OID:
dumper.oid = TSTZRANGE_OID
return dumper
@lru_cache
def get_adapters_template(use_tz, timezone):
# Create at adapters map extending the base one.
ctx = adapt.AdaptersMap(adapters)
# Register a no-op dumper to avoid a round trip from psycopg version 3
# decode to json.dumps() to json.loads(), when using a custom decoder
# in JSONField.
ctx.register_loader("jsonb", TextLoader)
# Don't convert automatically from PostgreSQL network types to Python
# ipaddress.
ctx.register_loader("inet", TextLoader)
ctx.register_loader("cidr", TextLoader)
ctx.register_dumper(Range, DjangoRangeDumper)
# Register a timestamptz loader configured on self.timezone.
# This, however, can be overridden by create_cursor.
register_tzloader(timezone, ctx)
return ctx
is_psycopg3 = True
except ImportError:
from enum import IntEnum
from psycopg2 import errors, extensions, sql # NOQA
from psycopg2.extras import DateRange, DateTimeRange, DateTimeTZRange, Inet # NOQA
from psycopg2.extras import Json as Jsonb # NOQA
from psycopg2.extras import NumericRange, Range # NOQA
RANGE_TYPES = (DateRange, DateTimeRange, DateTimeTZRange, NumericRange)
class IsolationLevel(IntEnum):
READ_UNCOMMITTED = extensions.ISOLATION_LEVEL_READ_UNCOMMITTED
READ_COMMITTED = extensions.ISOLATION_LEVEL_READ_COMMITTED
REPEATABLE_READ = extensions.ISOLATION_LEVEL_REPEATABLE_READ
SERIALIZABLE = extensions.ISOLATION_LEVEL_SERIALIZABLE
def _quote(value, connection=None):
adapted = extensions.adapt(value)
if hasattr(adapted, "encoding"):
adapted.encoding = "utf8"
# getquoted() returns a quoted bytestring of the adapted value.
return adapted.getquoted().decode()
sql.quote = _quote
def mogrify(sql, params, connection):
with connection.cursor() as cursor:
return cursor.mogrify(sql, params).decode()
is_psycopg3 = False

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from django.db.backends.base.schema import BaseDatabaseSchemaEditor
from django.db.backends.ddl_references import IndexColumns
from django.db.backends.postgresql.psycopg_any import sql
from django.db.backends.utils import strip_quotes
class DatabaseSchemaEditor(BaseDatabaseSchemaEditor):
# Setting all constraints to IMMEDIATE to allow changing data in the same
# transaction.
sql_update_with_default = (
"UPDATE %(table)s SET %(column)s = %(default)s WHERE %(column)s IS NULL"
"; SET CONSTRAINTS ALL IMMEDIATE"
)
sql_alter_sequence_type = "ALTER SEQUENCE IF EXISTS %(sequence)s AS %(type)s"
sql_delete_sequence = "DROP SEQUENCE IF EXISTS %(sequence)s CASCADE"
sql_create_index = (
"CREATE INDEX %(name)s ON %(table)s%(using)s "
"(%(columns)s)%(include)s%(extra)s%(condition)s"
)
sql_create_index_concurrently = (
"CREATE INDEX CONCURRENTLY %(name)s ON %(table)s%(using)s "
"(%(columns)s)%(include)s%(extra)s%(condition)s"
)
sql_delete_index = "DROP INDEX IF EXISTS %(name)s"
sql_delete_index_concurrently = "DROP INDEX CONCURRENTLY IF EXISTS %(name)s"
# Setting the constraint to IMMEDIATE to allow changing data in the same
# transaction.
sql_create_column_inline_fk = (
"CONSTRAINT %(name)s REFERENCES %(to_table)s(%(to_column)s)%(deferrable)s"
"; SET CONSTRAINTS %(namespace)s%(name)s IMMEDIATE"
)
# Setting the constraint to IMMEDIATE runs any deferred checks to allow
# dropping it in the same transaction.
sql_delete_fk = (
"SET CONSTRAINTS %(name)s IMMEDIATE; "
"ALTER TABLE %(table)s DROP CONSTRAINT %(name)s"
)
sql_delete_procedure = "DROP FUNCTION %(procedure)s(%(param_types)s)"
def execute(self, sql, params=()):
# Merge the query client-side, as PostgreSQL won't do it server-side.
if params is None:
return super().execute(sql, params)
sql = self.connection.ops.compose_sql(str(sql), params)
# Don't let the superclass touch anything.
return super().execute(sql, None)
sql_add_identity = (
"ALTER TABLE %(table)s ALTER COLUMN %(column)s ADD "
"GENERATED BY DEFAULT AS IDENTITY"
)
sql_drop_indentity = (
"ALTER TABLE %(table)s ALTER COLUMN %(column)s DROP IDENTITY IF EXISTS"
)
def quote_value(self, value):
if isinstance(value, str):
value = value.replace("%", "%%")
return sql.quote(value, self.connection.connection)
def _field_indexes_sql(self, model, field):
output = super()._field_indexes_sql(model, field)
like_index_statement = self._create_like_index_sql(model, field)
if like_index_statement is not None:
output.append(like_index_statement)
return output
def _field_data_type(self, field):
if field.is_relation:
return field.rel_db_type(self.connection)
return self.connection.data_types.get(
field.get_internal_type(),
field.db_type(self.connection),
)
def _field_base_data_types(self, field):
# Yield base data types for array fields.
if field.base_field.get_internal_type() == "ArrayField":
yield from self._field_base_data_types(field.base_field)
else:
yield self._field_data_type(field.base_field)
def _create_like_index_sql(self, model, field):
"""
Return the statement to create an index with varchar operator pattern
when the column type is 'varchar' or 'text', otherwise return None.
"""
db_type = field.db_type(connection=self.connection)
if db_type is not None and (field.db_index or field.unique):
# Fields with database column types of `varchar` and `text` need
# a second index that specifies their operator class, which is
# needed when performing correct LIKE queries outside the
# C locale. See #12234.
#
# The same doesn't apply to array fields such as varchar[size]
# and text[size], so skip them.
if "[" in db_type:
return None
# Non-deterministic collations on Postgresql don't support indexes
# for operator classes varchar_pattern_ops/text_pattern_ops.
if getattr(field, "db_collation", None):
return None
if db_type.startswith("varchar"):
return self._create_index_sql(
model,
fields=[field],
suffix="_like",
opclasses=["varchar_pattern_ops"],
)
elif db_type.startswith("text"):
return self._create_index_sql(
model,
fields=[field],
suffix="_like",
opclasses=["text_pattern_ops"],
)
return None
def _using_sql(self, new_field, old_field):
using_sql = " USING %(column)s::%(type)s"
new_internal_type = new_field.get_internal_type()
old_internal_type = old_field.get_internal_type()
if new_internal_type == "ArrayField" and new_internal_type == old_internal_type:
# Compare base data types for array fields.
if list(self._field_base_data_types(old_field)) != list(
self._field_base_data_types(new_field)
):
return using_sql
elif self._field_data_type(old_field) != self._field_data_type(new_field):
return using_sql
return ""
def _get_sequence_name(self, table, column):
with self.connection.cursor() as cursor:
for sequence in self.connection.introspection.get_sequences(cursor, table):
if sequence["column"] == column:
return sequence["name"]
return None
def _alter_column_type_sql(
self, model, old_field, new_field, new_type, old_collation, new_collation
):
# Drop indexes on varchar/text/citext columns that are changing to a
# different type.
old_db_params = old_field.db_parameters(connection=self.connection)
old_type = old_db_params["type"]
if (old_field.db_index or old_field.unique) and (
(old_type.startswith("varchar") and not new_type.startswith("varchar"))
or (old_type.startswith("text") and not new_type.startswith("text"))
or (old_type.startswith("citext") and not new_type.startswith("citext"))
):
index_name = self._create_index_name(
model._meta.db_table, [old_field.column], suffix="_like"
)
self.execute(self._delete_index_sql(model, index_name))
self.sql_alter_column_type = (
"ALTER COLUMN %(column)s TYPE %(type)s%(collation)s"
)
# Cast when data type changed.
if using_sql := self._using_sql(new_field, old_field):
self.sql_alter_column_type += using_sql
new_internal_type = new_field.get_internal_type()
old_internal_type = old_field.get_internal_type()
# Make ALTER TYPE with IDENTITY make sense.
table = strip_quotes(model._meta.db_table)
auto_field_types = {
"AutoField",
"BigAutoField",
"SmallAutoField",
}
old_is_auto = old_internal_type in auto_field_types
new_is_auto = new_internal_type in auto_field_types
if new_is_auto and not old_is_auto:
column = strip_quotes(new_field.column)
return (
(
self.sql_alter_column_type
% {
"column": self.quote_name(column),
"type": new_type,
"collation": "",
},
[],
),
[
(
self.sql_add_identity
% {
"table": self.quote_name(table),
"column": self.quote_name(column),
},
[],
),
],
)
elif old_is_auto and not new_is_auto:
# Drop IDENTITY if exists (pre-Django 4.1 serial columns don't have
# it).
self.execute(
self.sql_drop_indentity
% {
"table": self.quote_name(table),
"column": self.quote_name(strip_quotes(new_field.column)),
}
)
column = strip_quotes(new_field.column)
fragment, _ = super()._alter_column_type_sql(
model, old_field, new_field, new_type, old_collation, new_collation
)
# Drop the sequence if exists (Django 4.1+ identity columns don't
# have it).
other_actions = []
if sequence_name := self._get_sequence_name(table, column):
other_actions = [
(
self.sql_delete_sequence
% {
"sequence": self.quote_name(sequence_name),
},
[],
)
]
return fragment, other_actions
elif new_is_auto and old_is_auto and old_internal_type != new_internal_type:
fragment, _ = super()._alter_column_type_sql(
model, old_field, new_field, new_type, old_collation, new_collation
)
column = strip_quotes(new_field.column)
db_types = {
"AutoField": "integer",
"BigAutoField": "bigint",
"SmallAutoField": "smallint",
}
# Alter the sequence type if exists (Django 4.1+ identity columns
# don't have it).
other_actions = []
if sequence_name := self._get_sequence_name(table, column):
other_actions = [
(
self.sql_alter_sequence_type
% {
"sequence": self.quote_name(sequence_name),
"type": db_types[new_internal_type],
},
[],
),
]
return fragment, other_actions
else:
return super()._alter_column_type_sql(
model, old_field, new_field, new_type, old_collation, new_collation
)
def _alter_column_collation_sql(
self, model, new_field, new_type, new_collation, old_field
):
sql = self.sql_alter_column_collate
# Cast when data type changed.
if using_sql := self._using_sql(new_field, old_field):
sql += using_sql
return (
sql
% {
"column": self.quote_name(new_field.column),
"type": new_type,
"collation": " " + self._collate_sql(new_collation)
if new_collation
else "",
},
[],
)
def _alter_field(
self,
model,
old_field,
new_field,
old_type,
new_type,
old_db_params,
new_db_params,
strict=False,
):
super()._alter_field(
model,
old_field,
new_field,
old_type,
new_type,
old_db_params,
new_db_params,
strict,
)
# Added an index? Create any PostgreSQL-specific indexes.
if (not (old_field.db_index or old_field.unique) and new_field.db_index) or (
not old_field.unique and new_field.unique
):
like_index_statement = self._create_like_index_sql(model, new_field)
if like_index_statement is not None:
self.execute(like_index_statement)
# Removed an index? Drop any PostgreSQL-specific indexes.
if old_field.unique and not (new_field.db_index or new_field.unique):
index_to_remove = self._create_index_name(
model._meta.db_table, [old_field.column], suffix="_like"
)
self.execute(self._delete_index_sql(model, index_to_remove))
def _index_columns(self, table, columns, col_suffixes, opclasses):
if opclasses:
return IndexColumns(
table,
columns,
self.quote_name,
col_suffixes=col_suffixes,
opclasses=opclasses,
)
return super()._index_columns(table, columns, col_suffixes, opclasses)
def add_index(self, model, index, concurrently=False):
self.execute(
index.create_sql(model, self, concurrently=concurrently), params=None
)
def remove_index(self, model, index, concurrently=False):
self.execute(index.remove_sql(model, self, concurrently=concurrently))
def _delete_index_sql(self, model, name, sql=None, concurrently=False):
sql = (
self.sql_delete_index_concurrently
if concurrently
else self.sql_delete_index
)
return super()._delete_index_sql(model, name, sql)
def _create_index_sql(
self,
model,
*,
fields=None,
name=None,
suffix="",
using="",
db_tablespace=None,
col_suffixes=(),
sql=None,
opclasses=(),
condition=None,
concurrently=False,
include=None,
expressions=None,
):
sql = sql or (
self.sql_create_index
if not concurrently
else self.sql_create_index_concurrently
)
return super()._create_index_sql(
model,
fields=fields,
name=name,
suffix=suffix,
using=using,
db_tablespace=db_tablespace,
col_suffixes=col_suffixes,
sql=sql,
opclasses=opclasses,
condition=condition,
include=include,
expressions=expressions,
)

3
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from django.dispatch import Signal
connection_created = Signal()

0
srcs/.venv/lib/python3.11/site-packages/django/db/backends/sqlite3/__init__.py Normal file
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"""
Implementations of SQL functions for SQLite.
"""
import functools
import random
import statistics
from datetime import timedelta
from hashlib import sha1, sha224, sha256, sha384, sha512
from math import (
acos,
asin,
atan,
atan2,
ceil,
cos,
degrees,
exp,
floor,
fmod,
log,
pi,
radians,
sin,
sqrt,
tan,
)
from re import search as re_search
from django.db.backends.base.base import timezone_constructor
from django.db.backends.utils import (
split_tzname_delta,
typecast_time,
typecast_timestamp,
)
from django.utils import timezone
from django.utils.crypto import md5
from django.utils.duration import duration_microseconds
def register(connection):
create_deterministic_function = functools.partial(
connection.create_function,
deterministic=True,
)
create_deterministic_function("django_date_extract", 2, _sqlite_datetime_extract)
create_deterministic_function("django_date_trunc", 4, _sqlite_date_trunc)
create_deterministic_function(
"django_datetime_cast_date", 3, _sqlite_datetime_cast_date
)
create_deterministic_function(
"django_datetime_cast_time", 3, _sqlite_datetime_cast_time
)
create_deterministic_function(
"django_datetime_extract", 4, _sqlite_datetime_extract
)
create_deterministic_function("django_datetime_trunc", 4, _sqlite_datetime_trunc)
create_deterministic_function("django_time_extract", 2, _sqlite_time_extract)
create_deterministic_function("django_time_trunc", 4, _sqlite_time_trunc)
create_deterministic_function("django_time_diff", 2, _sqlite_time_diff)
create_deterministic_function("django_timestamp_diff", 2, _sqlite_timestamp_diff)
create_deterministic_function("django_format_dtdelta", 3, _sqlite_format_dtdelta)
create_deterministic_function("regexp", 2, _sqlite_regexp)
create_deterministic_function("BITXOR", 2, _sqlite_bitxor)
create_deterministic_function("COT", 1, _sqlite_cot)
create_deterministic_function("LPAD", 3, _sqlite_lpad)
create_deterministic_function("MD5", 1, _sqlite_md5)
create_deterministic_function("REPEAT", 2, _sqlite_repeat)
create_deterministic_function("REVERSE", 1, _sqlite_reverse)
create_deterministic_function("RPAD", 3, _sqlite_rpad)
create_deterministic_function("SHA1", 1, _sqlite_sha1)
create_deterministic_function("SHA224", 1, _sqlite_sha224)
create_deterministic_function("SHA256", 1, _sqlite_sha256)
create_deterministic_function("SHA384", 1, _sqlite_sha384)
create_deterministic_function("SHA512", 1, _sqlite_sha512)
create_deterministic_function("SIGN", 1, _sqlite_sign)
# Don't use the built-in RANDOM() function because it returns a value
# in the range [-1 * 2^63, 2^63 - 1] instead of [0, 1).
connection.create_function("RAND", 0, random.random)
connection.create_aggregate("STDDEV_POP", 1, StdDevPop)
connection.create_aggregate("STDDEV_SAMP", 1, StdDevSamp)
connection.create_aggregate("VAR_POP", 1, VarPop)
connection.create_aggregate("VAR_SAMP", 1, VarSamp)
# Some math functions are enabled by default in SQLite 3.35+.
sql = "select sqlite_compileoption_used('ENABLE_MATH_FUNCTIONS')"
if not connection.execute(sql).fetchone()[0]:
create_deterministic_function("ACOS", 1, _sqlite_acos)
create_deterministic_function("ASIN", 1, _sqlite_asin)
create_deterministic_function("ATAN", 1, _sqlite_atan)
create_deterministic_function("ATAN2", 2, _sqlite_atan2)
create_deterministic_function("CEILING", 1, _sqlite_ceiling)
create_deterministic_function("COS", 1, _sqlite_cos)
create_deterministic_function("DEGREES", 1, _sqlite_degrees)
create_deterministic_function("EXP", 1, _sqlite_exp)
create_deterministic_function("FLOOR", 1, _sqlite_floor)
create_deterministic_function("LN", 1, _sqlite_ln)
create_deterministic_function("LOG", 2, _sqlite_log)
create_deterministic_function("MOD", 2, _sqlite_mod)
create_deterministic_function("PI", 0, _sqlite_pi)
create_deterministic_function("POWER", 2, _sqlite_power)
create_deterministic_function("RADIANS", 1, _sqlite_radians)
create_deterministic_function("SIN", 1, _sqlite_sin)
create_deterministic_function("SQRT", 1, _sqlite_sqrt)
create_deterministic_function("TAN", 1, _sqlite_tan)
def _sqlite_datetime_parse(dt, tzname=None, conn_tzname=None):
if dt is None:
return None
try:
dt = typecast_timestamp(dt)
except (TypeError, ValueError):
return None
if conn_tzname:
dt = dt.replace(tzinfo=timezone_constructor(conn_tzname))
if tzname is not None and tzname != conn_tzname:
tzname, sign, offset = split_tzname_delta(tzname)
if offset:
hours, minutes = offset.split(":")
offset_delta = timedelta(hours=int(hours), minutes=int(minutes))
dt += offset_delta if sign == "+" else -offset_delta
dt = timezone.localtime(dt, timezone_constructor(tzname))
return dt
def _sqlite_date_trunc(lookup_type, dt, tzname, conn_tzname):
dt = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt is None:
return None
if lookup_type == "year":
return f"{dt.year:04d}-01-01"
elif lookup_type == "quarter":
month_in_quarter = dt.month - (dt.month - 1) % 3
return f"{dt.year:04d}-{month_in_quarter:02d}-01"
elif lookup_type == "month":
return f"{dt.year:04d}-{dt.month:02d}-01"
elif lookup_type == "week":
dt -= timedelta(days=dt.weekday())
return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d}"
elif lookup_type == "day":
return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d}"
raise ValueError(f"Unsupported lookup type: {lookup_type!r}")
def _sqlite_time_trunc(lookup_type, dt, tzname, conn_tzname):
if dt is None:
return None
dt_parsed = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt_parsed is None:
try:
dt = typecast_time(dt)
except (ValueError, TypeError):
return None
else:
dt = dt_parsed
if lookup_type == "hour":
return f"{dt.hour:02d}:00:00"
elif lookup_type == "minute":
return f"{dt.hour:02d}:{dt.minute:02d}:00"
elif lookup_type == "second":
return f"{dt.hour:02d}:{dt.minute:02d}:{dt.second:02d}"
raise ValueError(f"Unsupported lookup type: {lookup_type!r}")
def _sqlite_datetime_cast_date(dt, tzname, conn_tzname):
dt = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt is None:
return None
return dt.date().isoformat()
def _sqlite_datetime_cast_time(dt, tzname, conn_tzname):
dt = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt is None:
return None
return dt.time().isoformat()
def _sqlite_datetime_extract(lookup_type, dt, tzname=None, conn_tzname=None):
dt = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt is None:
return None
if lookup_type == "week_day":
return (dt.isoweekday() % 7) + 1
elif lookup_type == "iso_week_day":
return dt.isoweekday()
elif lookup_type == "week":
return dt.isocalendar()[1]
elif lookup_type == "quarter":
return ceil(dt.month / 3)
elif lookup_type == "iso_year":
return dt.isocalendar()[0]
else:
return getattr(dt, lookup_type)
def _sqlite_datetime_trunc(lookup_type, dt, tzname, conn_tzname):
dt = _sqlite_datetime_parse(dt, tzname, conn_tzname)
if dt is None:
return None
if lookup_type == "year":
return f"{dt.year:04d}-01-01 00:00:00"
elif lookup_type == "quarter":
month_in_quarter = dt.month - (dt.month - 1) % 3
return f"{dt.year:04d}-{month_in_quarter:02d}-01 00:00:00"
elif lookup_type == "month":
return f"{dt.year:04d}-{dt.month:02d}-01 00:00:00"
elif lookup_type == "week":
dt -= timedelta(days=dt.weekday())
return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} 00:00:00"
elif lookup_type == "day":
return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} 00:00:00"
elif lookup_type == "hour":
return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} {dt.hour:02d}:00:00"
elif lookup_type == "minute":
return (
f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} "
f"{dt.hour:02d}:{dt.minute:02d}:00"
)
elif lookup_type == "second":
return (
f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} "
f"{dt.hour:02d}:{dt.minute:02d}:{dt.second:02d}"
)
raise ValueError(f"Unsupported lookup type: {lookup_type!r}")
def _sqlite_time_extract(lookup_type, dt):
if dt is None:
return None
try:
dt = typecast_time(dt)
except (ValueError, TypeError):
return None
return getattr(dt, lookup_type)
def _sqlite_prepare_dtdelta_param(conn, param):
if conn in ["+", "-"]:
if isinstance(param, int):
return timedelta(0, 0, param)
else:
return typecast_timestamp(param)
return param
def _sqlite_format_dtdelta(connector, lhs, rhs):
"""
LHS and RHS can be either:
- An integer number of microseconds
- A string representing a datetime
- A scalar value, e.g. float
"""
if connector is None or lhs is None or rhs is None:
return None
connector = connector.strip()
try:
real_lhs = _sqlite_prepare_dtdelta_param(connector, lhs)
real_rhs = _sqlite_prepare_dtdelta_param(connector, rhs)
except (ValueError, TypeError):
return None
if connector == "+":
# typecast_timestamp() returns a date or a datetime without timezone.
# It will be formatted as "%Y-%m-%d" or "%Y-%m-%d %H:%M:%S[.%f]"
out = str(real_lhs + real_rhs)
elif connector == "-":
out = str(real_lhs - real_rhs)
elif connector == "*":
out = real_lhs * real_rhs
else:
out = real_lhs / real_rhs
return out
def _sqlite_time_diff(lhs, rhs):
if lhs is None or rhs is None:
return None
left = typecast_time(lhs)
right = typecast_time(rhs)
return (
(left.hour * 60 * 60 * 1000000)
+ (left.minute * 60 * 1000000)
+ (left.second * 1000000)
+ (left.microsecond)
- (right.hour * 60 * 60 * 1000000)
- (right.minute * 60 * 1000000)
- (right.second * 1000000)
- (right.microsecond)
)
def _sqlite_timestamp_diff(lhs, rhs):
if lhs is None or rhs is None:
return None
left = typecast_timestamp(lhs)
right = typecast_timestamp(rhs)
return duration_microseconds(left - right)
def _sqlite_regexp(pattern, string):
if pattern is None or string is None:
return None
if not isinstance(string, str):
string = str(string)
return bool(re_search(pattern, string))
def _sqlite_acos(x):
if x is None:
return None
return acos(x)
def _sqlite_asin(x):
if x is None:
return None
return asin(x)
def _sqlite_atan(x):
if x is None:
return None
return atan(x)
def _sqlite_atan2(y, x):
if y is None or x is None:
return None
return atan2(y, x)
def _sqlite_bitxor(x, y):
if x is None or y is None:
return None
return x ^ y
def _sqlite_ceiling(x):
if x is None:
return None
return ceil(x)
def _sqlite_cos(x):
if x is None:
return None
return cos(x)
def _sqlite_cot(x):
if x is None:
return None
return 1 / tan(x)
def _sqlite_degrees(x):
if x is None:
return None
return degrees(x)
def _sqlite_exp(x):
if x is None:
return None
return exp(x)
def _sqlite_floor(x):
if x is None:
return None
return floor(x)
def _sqlite_ln(x):
if x is None:
return None
return log(x)
def _sqlite_log(base, x):
if base is None or x is None:
return None
# Arguments reversed to match SQL standard.
return log(x, base)
def _sqlite_lpad(text, length, fill_text):
if text is None or length is None or fill_text is None:
return None
delta = length - len(text)
if delta <= 0:
return text[:length]
return (fill_text * length)[:delta] + text
def _sqlite_md5(text):
if text is None:
return None
return md5(text.encode()).hexdigest()
def _sqlite_mod(x, y):
if x is None or y is None:
return None
return fmod(x, y)
def _sqlite_pi():
return pi
def _sqlite_power(x, y):
if x is None or y is None:
return None
return x**y
def _sqlite_radians(x):
if x is None:
return None
return radians(x)
def _sqlite_repeat(text, count):
if text is None or count is None:
return None
return text * count
def _sqlite_reverse(text):
if text is None:
return None
return text[::-1]
def _sqlite_rpad(text, length, fill_text):
if text is None or length is None or fill_text is None:
return None
return (text + fill_text * length)[:length]
def _sqlite_sha1(text):
if text is None:
return None
return sha1(text.encode()).hexdigest()
def _sqlite_sha224(text):
if text is None:
return None
return sha224(text.encode()).hexdigest()
def _sqlite_sha256(text):
if text is None:
return None
return sha256(text.encode()).hexdigest()
def _sqlite_sha384(text):
if text is None:
return None
return sha384(text.encode()).hexdigest()
def _sqlite_sha512(text):
if text is None:
return None
return sha512(text.encode()).hexdigest()
def _sqlite_sign(x):
if x is None:
return None
return (x > 0) - (x < 0)
def _sqlite_sin(x):
if x is None:
return None
return sin(x)
def _sqlite_sqrt(x):
if x is None:
return None
return sqrt(x)
def _sqlite_tan(x):
if x is None:
return None
return tan(x)
class ListAggregate(list):
step = list.append
class StdDevPop(ListAggregate):
finalize = statistics.pstdev
class StdDevSamp(ListAggregate):
finalize = statistics.stdev
class VarPop(ListAggregate):
finalize = statistics.pvariance
class VarSamp(ListAggregate):
finalize = statistics.variance

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"""
SQLite backend for the sqlite3 module in the standard library.
"""
import datetime
import decimal
import warnings
from collections.abc import Mapping
from itertools import chain, tee
from sqlite3 import dbapi2 as Database
from django.core.exceptions import ImproperlyConfigured
from django.db import IntegrityError
from django.db.backends.base.base import BaseDatabaseWrapper
from django.utils.asyncio import async_unsafe
from django.utils.dateparse import parse_date, parse_datetime, parse_time
from django.utils.regex_helper import _lazy_re_compile
from ._functions import register as register_functions
from .client import DatabaseClient
from .creation import DatabaseCreation
from .features import DatabaseFeatures
from .introspection import DatabaseIntrospection
from .operations import DatabaseOperations
from .schema import DatabaseSchemaEditor
def decoder(conv_func):
"""
Convert bytestrings from Python's sqlite3 interface to a regular string.
"""
return lambda s: conv_func(s.decode())
def adapt_date(val):
return val.isoformat()
def adapt_datetime(val):
return val.isoformat(" ")
Database.register_converter("bool", b"1".__eq__)
Database.register_converter("date", decoder(parse_date))
Database.register_converter("time", decoder(parse_time))
Database.register_converter("datetime", decoder(parse_datetime))
Database.register_converter("timestamp", decoder(parse_datetime))
Database.register_adapter(decimal.Decimal, str)
Database.register_adapter(datetime.date, adapt_date)
Database.register_adapter(datetime.datetime, adapt_datetime)
class DatabaseWrapper(BaseDatabaseWrapper):
vendor = "sqlite"
display_name = "SQLite"
# SQLite doesn't actually support most of these types, but it "does the right
# thing" given more verbose field definitions, so leave them as is so that
# schema inspection is more useful.
data_types = {
"AutoField": "integer",
"BigAutoField": "integer",
"BinaryField": "BLOB",
"BooleanField": "bool",
"CharField": "varchar(%(max_length)s)",
"DateField": "date",
"DateTimeField": "datetime",
"DecimalField": "decimal",
"DurationField": "bigint",
"FileField": "varchar(%(max_length)s)",
"FilePathField": "varchar(%(max_length)s)",
"FloatField": "real",
"IntegerField": "integer",
"BigIntegerField": "bigint",
"IPAddressField": "char(15)",
"GenericIPAddressField": "char(39)",
"JSONField": "text",
"OneToOneField": "integer",
"PositiveBigIntegerField": "bigint unsigned",
"PositiveIntegerField": "integer unsigned",
"PositiveSmallIntegerField": "smallint unsigned",
"SlugField": "varchar(%(max_length)s)",
"SmallAutoField": "integer",
"SmallIntegerField": "smallint",
"TextField": "text",
"TimeField": "time",
"UUIDField": "char(32)",
}
data_type_check_constraints = {
"PositiveBigIntegerField": '"%(column)s" >= 0',
"JSONField": '(JSON_VALID("%(column)s") OR "%(column)s" IS NULL)',
"PositiveIntegerField": '"%(column)s" >= 0',
"PositiveSmallIntegerField": '"%(column)s" >= 0',
}
data_types_suffix = {
"AutoField": "AUTOINCREMENT",
"BigAutoField": "AUTOINCREMENT",
"SmallAutoField": "AUTOINCREMENT",
}
# SQLite requires LIKE statements to include an ESCAPE clause if the value
# being escaped has a percent or underscore in it.
# See https://www.sqlite.org/lang_expr.html for an explanation.
operators = {
"exact": "= %s",
"iexact": "LIKE %s ESCAPE '\\'",
"contains": "LIKE %s ESCAPE '\\'",
"icontains": "LIKE %s ESCAPE '\\'",
"regex": "REGEXP %s",
"iregex": "REGEXP '(?i)' || %s",
"gt": "> %s",
"gte": ">= %s",
"lt": "< %s",
"lte": "<= %s",
"startswith": "LIKE %s ESCAPE '\\'",
"endswith": "LIKE %s ESCAPE '\\'",
"istartswith": "LIKE %s ESCAPE '\\'",
"iendswith": "LIKE %s ESCAPE '\\'",
}
# The patterns below are used to generate SQL pattern lookup clauses when
# the right-hand side of the lookup isn't a raw string (it might be an expression
# or the result of a bilateral transformation).
# In those cases, special characters for LIKE operators (e.g. \, *, _) should be
# escaped on database side.
#
# Note: we use str.format() here for readability as '%' is used as a wildcard for
# the LIKE operator.
pattern_esc = r"REPLACE(REPLACE(REPLACE({}, '\', '\\'), '%%', '\%%'), '_', '\_')"
pattern_ops = {
"contains": r"LIKE '%%' || {} || '%%' ESCAPE '\'",
"icontains": r"LIKE '%%' || UPPER({}) || '%%' ESCAPE '\'",
"startswith": r"LIKE {} || '%%' ESCAPE '\'",
"istartswith": r"LIKE UPPER({}) || '%%' ESCAPE '\'",
"endswith": r"LIKE '%%' || {} ESCAPE '\'",
"iendswith": r"LIKE '%%' || UPPER({}) ESCAPE '\'",
}
Database = Database
SchemaEditorClass = DatabaseSchemaEditor
# Classes instantiated in __init__().
client_class = DatabaseClient
creation_class = DatabaseCreation
features_class = DatabaseFeatures
introspection_class = DatabaseIntrospection
ops_class = DatabaseOperations
def get_connection_params(self):
settings_dict = self.settings_dict
if not settings_dict["NAME"]:
raise ImproperlyConfigured(
"settings.DATABASES is improperly configured. "
"Please supply the NAME value."
)
kwargs = {
"database": settings_dict["NAME"],
"detect_types": Database.PARSE_DECLTYPES | Database.PARSE_COLNAMES,
**settings_dict["OPTIONS"],
}
# Always allow the underlying SQLite connection to be shareable
# between multiple threads. The safe-guarding will be handled at a
# higher level by the `BaseDatabaseWrapper.allow_thread_sharing`
# property. This is necessary as the shareability is disabled by
# default in sqlite3 and it cannot be changed once a connection is
# opened.
if "check_same_thread" in kwargs and kwargs["check_same_thread"]:
warnings.warn(
"The `check_same_thread` option was provided and set to "
"True. It will be overridden with False. Use the "
"`DatabaseWrapper.allow_thread_sharing` property instead "
"for controlling thread shareability.",
RuntimeWarning,
)
kwargs.update({"check_same_thread": False, "uri": True})
return kwargs
def get_database_version(self):
return self.Database.sqlite_version_info
@async_unsafe
def get_new_connection(self, conn_params):
conn = Database.connect(**conn_params)
register_functions(conn)
conn.execute("PRAGMA foreign_keys = ON")
# The macOS bundled SQLite defaults legacy_alter_table ON, which
# prevents atomic table renames (feature supports_atomic_references_rename)
conn.execute("PRAGMA legacy_alter_table = OFF")
return conn
def create_cursor(self, name=None):
return self.connection.cursor(factory=SQLiteCursorWrapper)
@async_unsafe
def close(self):
self.validate_thread_sharing()
# If database is in memory, closing the connection destroys the
# database. To prevent accidental data loss, ignore close requests on
# an in-memory db.
if not self.is_in_memory_db():
BaseDatabaseWrapper.close(self)
def _savepoint_allowed(self):
# When 'isolation_level' is not None, sqlite3 commits before each
# savepoint; it's a bug. When it is None, savepoints don't make sense
# because autocommit is enabled. The only exception is inside 'atomic'
# blocks. To work around that bug, on SQLite, 'atomic' starts a
# transaction explicitly rather than simply disable autocommit.
return self.in_atomic_block
def _set_autocommit(self, autocommit):
if autocommit:
level = None
else:
# sqlite3's internal default is ''. It's different from None.
# See Modules/_sqlite/connection.c.
level = ""
# 'isolation_level' is a misleading API.
# SQLite always runs at the SERIALIZABLE isolation level.
with self.wrap_database_errors:
self.connection.isolation_level = level
def disable_constraint_checking(self):
with self.cursor() as cursor:
cursor.execute("PRAGMA foreign_keys = OFF")
# Foreign key constraints cannot be turned off while in a multi-
# statement transaction. Fetch the current state of the pragma
# to determine if constraints are effectively disabled.
enabled = cursor.execute("PRAGMA foreign_keys").fetchone()[0]
return not bool(enabled)
def enable_constraint_checking(self):
with self.cursor() as cursor:
cursor.execute("PRAGMA foreign_keys = ON")
def check_constraints(self, table_names=None):
"""
Check each table name in `table_names` for rows with invalid foreign
key references. This method is intended to be used in conjunction with
`disable_constraint_checking()` and `enable_constraint_checking()`, to
determine if rows with invalid references were entered while constraint
checks were off.
"""
with self.cursor() as cursor:
if table_names is None:
violations = cursor.execute("PRAGMA foreign_key_check").fetchall()
else:
violations = chain.from_iterable(
cursor.execute(
"PRAGMA foreign_key_check(%s)" % self.ops.quote_name(table_name)
).fetchall()
for table_name in table_names
)
# See https://www.sqlite.org/pragma.html#pragma_foreign_key_check
for (
table_name,
rowid,
referenced_table_name,
foreign_key_index,
) in violations:
foreign_key = cursor.execute(
"PRAGMA foreign_key_list(%s)" % self.ops.quote_name(table_name)
).fetchall()[foreign_key_index]
column_name, referenced_column_name = foreign_key[3:5]
primary_key_column_name = self.introspection.get_primary_key_column(
cursor, table_name
)
primary_key_value, bad_value = cursor.execute(
"SELECT %s, %s FROM %s WHERE rowid = %%s"
% (
self.ops.quote_name(primary_key_column_name),
self.ops.quote_name(column_name),
self.ops.quote_name(table_name),
),
(rowid,),
).fetchone()
raise IntegrityError(
"The row in table '%s' with primary key '%s' has an "
"invalid foreign key: %s.%s contains a value '%s' that "
"does not have a corresponding value in %s.%s."
% (
table_name,
primary_key_value,
table_name,
column_name,
bad_value,
referenced_table_name,
referenced_column_name,
)
)
def is_usable(self):
return True
def _start_transaction_under_autocommit(self):
"""
Start a transaction explicitly in autocommit mode.
Staying in autocommit mode works around a bug of sqlite3 that breaks
savepoints when autocommit is disabled.
"""
self.cursor().execute("BEGIN")
def is_in_memory_db(self):
return self.creation.is_in_memory_db(self.settings_dict["NAME"])
FORMAT_QMARK_REGEX = _lazy_re_compile(r"(?<!%)%s")
class SQLiteCursorWrapper(Database.Cursor):
"""
Django uses the "format" and "pyformat" styles, but Python's sqlite3 module
supports neither of these styles.
This wrapper performs the following conversions:
- "format" style to "qmark" style
- "pyformat" style to "named" style
In both cases, if you want to use a literal "%s", you'll need to use "%%s".
"""
def execute(self, query, params=None):
if params is None:
return super().execute(query)
# Extract names if params is a mapping, i.e. "pyformat" style is used.
param_names = list(params) if isinstance(params, Mapping) else None
query = self.convert_query(query, param_names=param_names)
return super().execute(query, params)
def executemany(self, query, param_list):
# Extract names if params is a mapping, i.e. "pyformat" style is used.
# Peek carefully as a generator can be passed instead of a list/tuple.
peekable, param_list = tee(iter(param_list))
if (params := next(peekable, None)) and isinstance(params, Mapping):
param_names = list(params)
else:
param_names = None
query = self.convert_query(query, param_names=param_names)
return super().executemany(query, param_list)
def convert_query(self, query, *, param_names=None):
if param_names is None:
# Convert from "format" style to "qmark" style.
return FORMAT_QMARK_REGEX.sub("?", query).replace("%%", "%")
else:
# Convert from "pyformat" style to "named" style.
return query % {name: f":{name}" for name in param_names}

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from django.db.backends.base.client import BaseDatabaseClient
class DatabaseClient(BaseDatabaseClient):
executable_name = "sqlite3"
@classmethod
def settings_to_cmd_args_env(cls, settings_dict, parameters):
args = [cls.executable_name, settings_dict["NAME"], *parameters]
return args, None

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import multiprocessing
import os
import shutil
import sqlite3
import sys
from pathlib import Path
from django.db import NotSupportedError
from django.db.backends.base.creation import BaseDatabaseCreation
class DatabaseCreation(BaseDatabaseCreation):
@staticmethod
def is_in_memory_db(database_name):
return not isinstance(database_name, Path) and (
database_name == ":memory:" or "mode=memory" in database_name
)
def _get_test_db_name(self):
test_database_name = self.connection.settings_dict["TEST"]["NAME"] or ":memory:"
if test_database_name == ":memory:":
return "file:memorydb_%s?mode=memory&cache=shared" % self.connection.alias
return test_database_name
def _create_test_db(self, verbosity, autoclobber, keepdb=False):
test_database_name = self._get_test_db_name()
if keepdb:
return test_database_name
if not self.is_in_memory_db(test_database_name):
# Erase the old test database
if verbosity >= 1:
self.log(
"Destroying old test database for alias %s..."
% (self._get_database_display_str(verbosity, test_database_name),)
)
if os.access(test_database_name, os.F_OK):
if not autoclobber:
confirm = input(
"Type 'yes' if you would like to try deleting the test "
"database '%s', or 'no' to cancel: " % test_database_name
)
if autoclobber or confirm == "yes":
try:
os.remove(test_database_name)
except Exception as e:
self.log("Got an error deleting the old test database: %s" % e)
sys.exit(2)
else:
self.log("Tests cancelled.")
sys.exit(1)
return test_database_name
def get_test_db_clone_settings(self, suffix):
orig_settings_dict = self.connection.settings_dict
source_database_name = orig_settings_dict["NAME"]
if not self.is_in_memory_db(source_database_name):
root, ext = os.path.splitext(source_database_name)
return {**orig_settings_dict, "NAME": f"{root}_{suffix}{ext}"}
start_method = multiprocessing.get_start_method()
if start_method == "fork":
return orig_settings_dict
if start_method == "spawn":
return {
**orig_settings_dict,
"NAME": f"{self.connection.alias}_{suffix}.sqlite3",
}
raise NotSupportedError(
f"Cloning with start method {start_method!r} is not supported."
)
def _clone_test_db(self, suffix, verbosity, keepdb=False):
source_database_name = self.connection.settings_dict["NAME"]
target_database_name = self.get_test_db_clone_settings(suffix)["NAME"]
if not self.is_in_memory_db(source_database_name):
# Erase the old test database
if os.access(target_database_name, os.F_OK):
if keepdb:
return
if verbosity >= 1:
self.log(
"Destroying old test database for alias %s..."
% (
self._get_database_display_str(
verbosity, target_database_name
),
)
)
try:
os.remove(target_database_name)
except Exception as e:
self.log("Got an error deleting the old test database: %s" % e)
sys.exit(2)
try:
shutil.copy(source_database_name, target_database_name)
except Exception as e:
self.log("Got an error cloning the test database: %s" % e)
sys.exit(2)
# Forking automatically makes a copy of an in-memory database.
# Spawn requires migrating to disk which will be re-opened in
# setup_worker_connection.
elif multiprocessing.get_start_method() == "spawn":
ondisk_db = sqlite3.connect(target_database_name, uri=True)
self.connection.connection.backup(ondisk_db)
ondisk_db.close()
def _destroy_test_db(self, test_database_name, verbosity):
if test_database_name and not self.is_in_memory_db(test_database_name):
# Remove the SQLite database file
os.remove(test_database_name)
def test_db_signature(self):
"""
Return a tuple that uniquely identifies a test database.
This takes into account the special cases of ":memory:" and "" for
SQLite since the databases will be distinct despite having the same
TEST NAME. See https://www.sqlite.org/inmemorydb.html
"""
test_database_name = self._get_test_db_name()
sig = [self.connection.settings_dict["NAME"]]
if self.is_in_memory_db(test_database_name):
sig.append(self.connection.alias)
else:
sig.append(test_database_name)
return tuple(sig)
def setup_worker_connection(self, _worker_id):
settings_dict = self.get_test_db_clone_settings(_worker_id)
# connection.settings_dict must be updated in place for changes to be
# reflected in django.db.connections. Otherwise new threads would
# connect to the default database instead of the appropriate clone.
start_method = multiprocessing.get_start_method()
if start_method == "fork":
# Update settings_dict in place.
self.connection.settings_dict.update(settings_dict)
self.connection.close()
elif start_method == "spawn":
alias = self.connection.alias
connection_str = (
f"file:memorydb_{alias}_{_worker_id}?mode=memory&cache=shared"
)
source_db = self.connection.Database.connect(
f"file:{alias}_{_worker_id}.sqlite3", uri=True
)
target_db = sqlite3.connect(connection_str, uri=True)
source_db.backup(target_db)
source_db.close()
# Update settings_dict in place.
self.connection.settings_dict.update(settings_dict)
self.connection.settings_dict["NAME"] = connection_str
# Re-open connection to in-memory database before closing copy
# connection.
self.connection.connect()
target_db.close()
if os.environ.get("RUNNING_DJANGOS_TEST_SUITE") == "true":
self.mark_expected_failures_and_skips()

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import operator
from django.db import transaction
from django.db.backends.base.features import BaseDatabaseFeatures
from django.db.utils import OperationalError
from django.utils.functional import cached_property
from .base import Database
class DatabaseFeatures(BaseDatabaseFeatures):
minimum_database_version = (3, 21)
test_db_allows_multiple_connections = False
supports_unspecified_pk = True
supports_timezones = False
max_query_params = 999
supports_transactions = True
atomic_transactions = False
can_rollback_ddl = True
can_create_inline_fk = False
requires_literal_defaults = True
can_clone_databases = True
supports_temporal_subtraction = True
ignores_table_name_case = True
supports_cast_with_precision = False
time_cast_precision = 3
can_release_savepoints = True
has_case_insensitive_like = True
# Is "ALTER TABLE ... RENAME COLUMN" supported?
can_alter_table_rename_column = Database.sqlite_version_info >= (3, 25, 0)
# Is "ALTER TABLE ... DROP COLUMN" supported?
can_alter_table_drop_column = Database.sqlite_version_info >= (3, 35, 5)
supports_parentheses_in_compound = False
can_defer_constraint_checks = True
supports_over_clause = Database.sqlite_version_info >= (3, 25, 0)
supports_frame_range_fixed_distance = Database.sqlite_version_info >= (3, 28, 0)
supports_aggregate_filter_clause = Database.sqlite_version_info >= (3, 30, 1)
supports_order_by_nulls_modifier = Database.sqlite_version_info >= (3, 30, 0)
# NULLS LAST/FIRST emulation on < 3.30 requires subquery wrapping.
requires_compound_order_by_subquery = Database.sqlite_version_info < (3, 30)
order_by_nulls_first = True
supports_json_field_contains = False
supports_update_conflicts = Database.sqlite_version_info >= (3, 24, 0)
supports_update_conflicts_with_target = supports_update_conflicts
test_collations = {
"ci": "nocase",
"cs": "binary",
"non_default": "nocase",
}
django_test_expected_failures = {
# The django_format_dtdelta() function doesn't properly handle mixed
# Date/DateTime fields and timedeltas.
"expressions.tests.FTimeDeltaTests.test_mixed_comparisons1",
}
create_test_table_with_composite_primary_key = """
CREATE TABLE test_table_composite_pk (
column_1 INTEGER NOT NULL,
column_2 INTEGER NOT NULL,
PRIMARY KEY(column_1, column_2)
)
"""
@cached_property
def django_test_skips(self):
skips = {
"SQLite stores values rounded to 15 significant digits.": {
"model_fields.test_decimalfield.DecimalFieldTests."
"test_fetch_from_db_without_float_rounding",
},
"SQLite naively remakes the table on field alteration.": {
"schema.tests.SchemaTests.test_unique_no_unnecessary_fk_drops",
"schema.tests.SchemaTests.test_unique_and_reverse_m2m",
"schema.tests.SchemaTests."
"test_alter_field_default_doesnt_perform_queries",
"schema.tests.SchemaTests."
"test_rename_column_renames_deferred_sql_references",
},
"SQLite doesn't support negative precision for ROUND().": {
"db_functions.math.test_round.RoundTests."
"test_null_with_negative_precision",
"db_functions.math.test_round.RoundTests."
"test_decimal_with_negative_precision",
"db_functions.math.test_round.RoundTests."
"test_float_with_negative_precision",
"db_functions.math.test_round.RoundTests."
"test_integer_with_negative_precision",
},
}
if Database.sqlite_version_info < (3, 27):
skips.update(
{
"Nondeterministic failure on SQLite < 3.27.": {
"expressions_window.tests.WindowFunctionTests."
"test_subquery_row_range_rank",
},
}
)
if self.connection.is_in_memory_db():
skips.update(
{
"the sqlite backend's close() method is a no-op when using an "
"in-memory database": {
"servers.test_liveserverthread.LiveServerThreadTest."
"test_closes_connections",
"servers.tests.LiveServerTestCloseConnectionTest."
"test_closes_connections",
},
"For SQLite in-memory tests, closing the connection destroys"
"the database.": {
"test_utils.tests.AssertNumQueriesUponConnectionTests."
"test_ignores_connection_configuration_queries",
},
}
)
else:
skips.update(
{
"Only connections to in-memory SQLite databases are passed to the "
"server thread.": {
"servers.tests.LiveServerInMemoryDatabaseLockTest."
"test_in_memory_database_lock",
},
"multiprocessing's start method is checked only for in-memory "
"SQLite databases": {
"backends.sqlite.test_creation.TestDbSignatureTests."
"test_get_test_db_clone_settings_not_supported",
},
}
)
return skips
@cached_property
def supports_atomic_references_rename(self):
return Database.sqlite_version_info >= (3, 26, 0)
@cached_property
def introspected_field_types(self):
return {
**super().introspected_field_types,
"BigAutoField": "AutoField",
"DurationField": "BigIntegerField",
"GenericIPAddressField": "CharField",
"SmallAutoField": "AutoField",
}
@cached_property
def supports_json_field(self):
with self.connection.cursor() as cursor:
try:
with transaction.atomic(self.connection.alias):
cursor.execute('SELECT JSON(\'{"a": "b"}\')')
except OperationalError:
return False
return True
can_introspect_json_field = property(operator.attrgetter("supports_json_field"))
has_json_object_function = property(operator.attrgetter("supports_json_field"))
@cached_property
def can_return_columns_from_insert(self):
return Database.sqlite_version_info >= (3, 35)
can_return_rows_from_bulk_insert = property(
operator.attrgetter("can_return_columns_from_insert")
)

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from collections import namedtuple
import sqlparse
from django.db import DatabaseError
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.introspection import FieldInfo as BaseFieldInfo
from django.db.backends.base.introspection import TableInfo
from django.db.models import Index
from django.utils.regex_helper import _lazy_re_compile
FieldInfo = namedtuple(
"FieldInfo", BaseFieldInfo._fields + ("pk", "has_json_constraint")
)
field_size_re = _lazy_re_compile(r"^\s*(?:var)?char\s*\(\s*(\d+)\s*\)\s*$")
def get_field_size(name):
"""Extract the size number from a "varchar(11)" type name"""
m = field_size_re.search(name)
return int(m[1]) if m else None
# This light wrapper "fakes" a dictionary interface, because some SQLite data
# types include variables in them -- e.g. "varchar(30)" -- and can't be matched
# as a simple dictionary lookup.
class FlexibleFieldLookupDict:
# Maps SQL types to Django Field types. Some of the SQL types have multiple
# entries here because SQLite allows for anything and doesn't normalize the
# field type; it uses whatever was given.
base_data_types_reverse = {
"bool": "BooleanField",
"boolean": "BooleanField",
"smallint": "SmallIntegerField",
"smallint unsigned": "PositiveSmallIntegerField",
"smallinteger": "SmallIntegerField",
"int": "IntegerField",
"integer": "IntegerField",
"bigint": "BigIntegerField",
"integer unsigned": "PositiveIntegerField",
"bigint unsigned": "PositiveBigIntegerField",
"decimal": "DecimalField",
"real": "FloatField",
"text": "TextField",
"char": "CharField",
"varchar": "CharField",
"blob": "BinaryField",
"date": "DateField",
"datetime": "DateTimeField",
"time": "TimeField",
}
def __getitem__(self, key):
key = key.lower().split("(", 1)[0].strip()
return self.base_data_types_reverse[key]
class DatabaseIntrospection(BaseDatabaseIntrospection):
data_types_reverse = FlexibleFieldLookupDict()
def get_field_type(self, data_type, description):
field_type = super().get_field_type(data_type, description)
if description.pk and field_type in {
"BigIntegerField",
"IntegerField",
"SmallIntegerField",
}:
# No support for BigAutoField or SmallAutoField as SQLite treats
# all integer primary keys as signed 64-bit integers.
return "AutoField"
if description.has_json_constraint:
return "JSONField"
return field_type
def get_table_list(self, cursor):
"""Return a list of table and view names in the current database."""
# Skip the sqlite_sequence system table used for autoincrement key
# generation.
cursor.execute(
"""
SELECT name, type FROM sqlite_master
WHERE type in ('table', 'view') AND NOT name='sqlite_sequence'
ORDER BY name"""
)
return [TableInfo(row[0], row[1][0]) for row in cursor.fetchall()]
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface.
"""
cursor.execute(
"PRAGMA table_info(%s)" % self.connection.ops.quote_name(table_name)
)
table_info = cursor.fetchall()
if not table_info:
raise DatabaseError(f"Table {table_name} does not exist (empty pragma).")
collations = self._get_column_collations(cursor, table_name)
json_columns = set()
if self.connection.features.can_introspect_json_field:
for line in table_info:
column = line[1]
json_constraint_sql = '%%json_valid("%s")%%' % column
has_json_constraint = cursor.execute(
"""
SELECT sql
FROM sqlite_master
WHERE
type = 'table' AND
name = %s AND
sql LIKE %s
""",
[table_name, json_constraint_sql],
).fetchone()
if has_json_constraint:
json_columns.add(column)
return [
FieldInfo(
name,
data_type,
get_field_size(data_type),
None,
None,
None,
not notnull,
default,
collations.get(name),
pk == 1,
name in json_columns,
)
for cid, name, data_type, notnull, default, pk in table_info
]
def get_sequences(self, cursor, table_name, table_fields=()):
pk_col = self.get_primary_key_column(cursor, table_name)
return [{"table": table_name, "column": pk_col}]
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {column_name: (ref_column_name, ref_table_name)}
representing all foreign keys in the given table.
"""
cursor.execute(
"PRAGMA foreign_key_list(%s)" % self.connection.ops.quote_name(table_name)
)
return {
column_name: (ref_column_name, ref_table_name)
for (
_,
_,
ref_table_name,
column_name,
ref_column_name,
*_,
) in cursor.fetchall()
}
def get_primary_key_columns(self, cursor, table_name):
cursor.execute(
"PRAGMA table_info(%s)" % self.connection.ops.quote_name(table_name)
)
return [name for _, name, *_, pk in cursor.fetchall() if pk]
def _parse_column_or_constraint_definition(self, tokens, columns):
token = None
is_constraint_definition = None
field_name = None
constraint_name = None
unique = False
unique_columns = []
check = False
check_columns = []
braces_deep = 0
for token in tokens:
if token.match(sqlparse.tokens.Punctuation, "("):
braces_deep += 1
elif token.match(sqlparse.tokens.Punctuation, ")"):
braces_deep -= 1
if braces_deep < 0:
# End of columns and constraints for table definition.
break
elif braces_deep == 0 and token.match(sqlparse.tokens.Punctuation, ","):
# End of current column or constraint definition.
break
# Detect column or constraint definition by first token.
if is_constraint_definition is None:
is_constraint_definition = token.match(
sqlparse.tokens.Keyword, "CONSTRAINT"
)
if is_constraint_definition:
continue
if is_constraint_definition:
# Detect constraint name by second token.
if constraint_name is None:
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
constraint_name = token.value
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
constraint_name = token.value[1:-1]
# Start constraint columns parsing after UNIQUE keyword.
if token.match(sqlparse.tokens.Keyword, "UNIQUE"):
unique = True
unique_braces_deep = braces_deep
elif unique:
if unique_braces_deep == braces_deep:
if unique_columns:
# Stop constraint parsing.
unique = False
continue
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
unique_columns.append(token.value)
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
unique_columns.append(token.value[1:-1])
else:
# Detect field name by first token.
if field_name is None:
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
field_name = token.value
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
field_name = token.value[1:-1]
if token.match(sqlparse.tokens.Keyword, "UNIQUE"):
unique_columns = [field_name]
# Start constraint columns parsing after CHECK keyword.
if token.match(sqlparse.tokens.Keyword, "CHECK"):
check = True
check_braces_deep = braces_deep
elif check:
if check_braces_deep == braces_deep:
if check_columns:
# Stop constraint parsing.
check = False
continue
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
if token.value in columns:
check_columns.append(token.value)
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
if token.value[1:-1] in columns:
check_columns.append(token.value[1:-1])
unique_constraint = (
{
"unique": True,
"columns": unique_columns,
"primary_key": False,
"foreign_key": None,
"check": False,
"index": False,
}
if unique_columns
else None
)
check_constraint = (
{
"check": True,
"columns": check_columns,
"primary_key": False,
"unique": False,
"foreign_key": None,
"index": False,
}
if check_columns
else None
)
return constraint_name, unique_constraint, check_constraint, token
def _parse_table_constraints(self, sql, columns):
# Check constraint parsing is based of SQLite syntax diagram.
# https://www.sqlite.org/syntaxdiagrams.html#table-constraint
statement = sqlparse.parse(sql)[0]
constraints = {}
unnamed_constrains_index = 0
tokens = (token for token in statement.flatten() if not token.is_whitespace)
# Go to columns and constraint definition
for token in tokens:
if token.match(sqlparse.tokens.Punctuation, "("):
break
# Parse columns and constraint definition
while True:
(
constraint_name,
unique,
check,
end_token,
) = self._parse_column_or_constraint_definition(tokens, columns)
if unique:
if constraint_name:
constraints[constraint_name] = unique
else:
unnamed_constrains_index += 1
constraints[
"__unnamed_constraint_%s__" % unnamed_constrains_index
] = unique
if check:
if constraint_name:
constraints[constraint_name] = check
else:
unnamed_constrains_index += 1
constraints[
"__unnamed_constraint_%s__" % unnamed_constrains_index
] = check
if end_token.match(sqlparse.tokens.Punctuation, ")"):
break
return constraints
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index) across
one or more columns.
"""
constraints = {}
# Find inline check constraints.
try:
table_schema = cursor.execute(
"SELECT sql FROM sqlite_master WHERE type='table' and name=%s"
% (self.connection.ops.quote_name(table_name),)
).fetchone()[0]
except TypeError:
# table_name is a view.
pass
else:
columns = {
info.name for info in self.get_table_description(cursor, table_name)
}
constraints.update(self._parse_table_constraints(table_schema, columns))
# Get the index info
cursor.execute(
"PRAGMA index_list(%s)" % self.connection.ops.quote_name(table_name)
)
for row in cursor.fetchall():
# SQLite 3.8.9+ has 5 columns, however older versions only give 3
# columns. Discard last 2 columns if there.
number, index, unique = row[:3]
cursor.execute(
"SELECT sql FROM sqlite_master "
"WHERE type='index' AND name=%s" % self.connection.ops.quote_name(index)
)
# There's at most one row.
(sql,) = cursor.fetchone() or (None,)
# Inline constraints are already detected in
# _parse_table_constraints(). The reasons to avoid fetching inline
# constraints from `PRAGMA index_list` are:
# - Inline constraints can have a different name and information
# than what `PRAGMA index_list` gives.
# - Not all inline constraints may appear in `PRAGMA index_list`.
if not sql:
# An inline constraint
continue
# Get the index info for that index
cursor.execute(
"PRAGMA index_info(%s)" % self.connection.ops.quote_name(index)
)
for index_rank, column_rank, column in cursor.fetchall():
if index not in constraints:
constraints[index] = {
"columns": [],
"primary_key": False,
"unique": bool(unique),
"foreign_key": None,
"check": False,
"index": True,
}
constraints[index]["columns"].append(column)
# Add type and column orders for indexes
if constraints[index]["index"]:
# SQLite doesn't support any index type other than b-tree
constraints[index]["type"] = Index.suffix
orders = self._get_index_columns_orders(sql)
if orders is not None:
constraints[index]["orders"] = orders
# Get the PK
pk_columns = self.get_primary_key_columns(cursor, table_name)
if pk_columns:
# SQLite doesn't actually give a name to the PK constraint,
# so we invent one. This is fine, as the SQLite backend never
# deletes PK constraints by name, as you can't delete constraints
# in SQLite; we remake the table with a new PK instead.
constraints["__primary__"] = {
"columns": pk_columns,
"primary_key": True,
"unique": False, # It's not actually a unique constraint.
"foreign_key": None,
"check": False,
"index": False,
}
relations = enumerate(self.get_relations(cursor, table_name).items())
constraints.update(
{
f"fk_{index}": {
"columns": [column_name],
"primary_key": False,
"unique": False,
"foreign_key": (ref_table_name, ref_column_name),
"check": False,
"index": False,
}
for index, (column_name, (ref_column_name, ref_table_name)) in relations
}
)
return constraints
def _get_index_columns_orders(self, sql):
tokens = sqlparse.parse(sql)[0]
for token in tokens:
if isinstance(token, sqlparse.sql.Parenthesis):
columns = str(token).strip("()").split(", ")
return ["DESC" if info.endswith("DESC") else "ASC" for info in columns]
return None
def _get_column_collations(self, cursor, table_name):
row = cursor.execute(
"""
SELECT sql
FROM sqlite_master
WHERE type = 'table' AND name = %s
""",
[table_name],
).fetchone()
if not row:
return {}
sql = row[0]
columns = str(sqlparse.parse(sql)[0][-1]).strip("()").split(", ")
collations = {}
for column in columns:
tokens = column[1:].split()
column_name = tokens[0].strip('"')
for index, token in enumerate(tokens):
if token == "COLLATE":
collation = tokens[index + 1]
break
else:
collation = None
collations[column_name] = collation
return collations

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import datetime
import decimal
import uuid
from functools import lru_cache
from itertools import chain
from django.conf import settings
from django.core.exceptions import FieldError
from django.db import DatabaseError, NotSupportedError, models
from django.db.backends.base.operations import BaseDatabaseOperations
from django.db.models.constants import OnConflict
from django.db.models.expressions import Col
from django.utils import timezone
from django.utils.dateparse import parse_date, parse_datetime, parse_time
from django.utils.functional import cached_property
class DatabaseOperations(BaseDatabaseOperations):
cast_char_field_without_max_length = "text"
cast_data_types = {
"DateField": "TEXT",
"DateTimeField": "TEXT",
}
explain_prefix = "EXPLAIN QUERY PLAN"
# List of datatypes to that cannot be extracted with JSON_EXTRACT() on
# SQLite. Use JSON_TYPE() instead.
jsonfield_datatype_values = frozenset(["null", "false", "true"])
def bulk_batch_size(self, fields, objs):
"""
SQLite has a compile-time default (SQLITE_LIMIT_VARIABLE_NUMBER) of
999 variables per query.
If there's only a single field to insert, the limit is 500
(SQLITE_MAX_COMPOUND_SELECT).
"""
if len(fields) == 1:
return 500
elif len(fields) > 1:
return self.connection.features.max_query_params // len(fields)
else:
return len(objs)
def check_expression_support(self, expression):
bad_fields = (models.DateField, models.DateTimeField, models.TimeField)
bad_aggregates = (models.Sum, models.Avg, models.Variance, models.StdDev)
if isinstance(expression, bad_aggregates):
for expr in expression.get_source_expressions():
try:
output_field = expr.output_field
except (AttributeError, FieldError):
# Not every subexpression has an output_field which is fine
# to ignore.
pass
else:
if isinstance(output_field, bad_fields):
raise NotSupportedError(
"You cannot use Sum, Avg, StdDev, and Variance "
"aggregations on date/time fields in sqlite3 "
"since date/time is saved as text."
)
if (
isinstance(expression, models.Aggregate)
and expression.distinct
and len(expression.source_expressions) > 1
):
raise NotSupportedError(
"SQLite doesn't support DISTINCT on aggregate functions "
"accepting multiple arguments."
)
def date_extract_sql(self, lookup_type, sql, params):
"""
Support EXTRACT with a user-defined function django_date_extract()
that's registered in connect(). Use single quotes because this is a
string and could otherwise cause a collision with a field name.
"""
return f"django_date_extract(%s, {sql})", (lookup_type.lower(), *params)
def fetch_returned_insert_rows(self, cursor):
"""
Given a cursor object that has just performed an INSERT...RETURNING
statement into a table, return the list of returned data.
"""
return cursor.fetchall()
def format_for_duration_arithmetic(self, sql):
"""Do nothing since formatting is handled in the custom function."""
return sql
def date_trunc_sql(self, lookup_type, sql, params, tzname=None):
return f"django_date_trunc(%s, {sql}, %s, %s)", (
lookup_type.lower(),
*params,
*self._convert_tznames_to_sql(tzname),
)
def time_trunc_sql(self, lookup_type, sql, params, tzname=None):
return f"django_time_trunc(%s, {sql}, %s, %s)", (
lookup_type.lower(),
*params,
*self._convert_tznames_to_sql(tzname),
)
def _convert_tznames_to_sql(self, tzname):
if tzname and settings.USE_TZ:
return tzname, self.connection.timezone_name
return None, None
def datetime_cast_date_sql(self, sql, params, tzname):
return f"django_datetime_cast_date({sql}, %s, %s)", (
*params,
*self._convert_tznames_to_sql(tzname),
)
def datetime_cast_time_sql(self, sql, params, tzname):
return f"django_datetime_cast_time({sql}, %s, %s)", (
*params,
*self._convert_tznames_to_sql(tzname),
)
def datetime_extract_sql(self, lookup_type, sql, params, tzname):
return f"django_datetime_extract(%s, {sql}, %s, %s)", (
lookup_type.lower(),
*params,
*self._convert_tznames_to_sql(tzname),
)
def datetime_trunc_sql(self, lookup_type, sql, params, tzname):
return f"django_datetime_trunc(%s, {sql}, %s, %s)", (
lookup_type.lower(),
*params,
*self._convert_tznames_to_sql(tzname),
)
def time_extract_sql(self, lookup_type, sql, params):
return f"django_time_extract(%s, {sql})", (lookup_type.lower(), *params)
def pk_default_value(self):
return "NULL"
def _quote_params_for_last_executed_query(self, params):
"""
Only for last_executed_query! Don't use this to execute SQL queries!
"""
# This function is limited both by SQLITE_LIMIT_VARIABLE_NUMBER (the
# number of parameters, default = 999) and SQLITE_MAX_COLUMN (the
# number of return values, default = 2000). Since Python's sqlite3
# module doesn't expose the get_limit() C API, assume the default
# limits are in effect and split the work in batches if needed.
BATCH_SIZE = 999
if len(params) > BATCH_SIZE:
results = ()
for index in range(0, len(params), BATCH_SIZE):
chunk = params[index : index + BATCH_SIZE]
results += self._quote_params_for_last_executed_query(chunk)
return results
sql = "SELECT " + ", ".join(["QUOTE(?)"] * len(params))
# Bypass Django's wrappers and use the underlying sqlite3 connection
# to avoid logging this query - it would trigger infinite recursion.
cursor = self.connection.connection.cursor()
# Native sqlite3 cursors cannot be used as context managers.
try:
return cursor.execute(sql, params).fetchone()
finally:
cursor.close()
def last_executed_query(self, cursor, sql, params):
# Python substitutes parameters in Modules/_sqlite/cursor.c with:
# bind_parameters(state, self->statement, parameters);
# Unfortunately there is no way to reach self->statement from Python,
# so we quote and substitute parameters manually.
if params:
if isinstance(params, (list, tuple)):
params = self._quote_params_for_last_executed_query(params)
else:
values = tuple(params.values())
values = self._quote_params_for_last_executed_query(values)
params = dict(zip(params, values))
return sql % params
# For consistency with SQLiteCursorWrapper.execute(), just return sql
# when there are no parameters. See #13648 and #17158.
else:
return sql
def quote_name(self, name):
if name.startswith('"') and name.endswith('"'):
return name # Quoting once is enough.
return '"%s"' % name
def no_limit_value(self):
return -1
def __references_graph(self, table_name):
query = """
WITH tables AS (
SELECT %s name
UNION
SELECT sqlite_master.name
FROM sqlite_master
JOIN tables ON (sql REGEXP %s || tables.name || %s)
) SELECT name FROM tables;
"""
params = (
table_name,
r'(?i)\s+references\s+("|\')?',
r'("|\')?\s*\(',
)
with self.connection.cursor() as cursor:
results = cursor.execute(query, params)
return [row[0] for row in results.fetchall()]
@cached_property
def _references_graph(self):
# 512 is large enough to fit the ~330 tables (as of this writing) in
# Django's test suite.
return lru_cache(maxsize=512)(self.__references_graph)
def sql_flush(self, style, tables, *, reset_sequences=False, allow_cascade=False):
if tables and allow_cascade:
# Simulate TRUNCATE CASCADE by recursively collecting the tables
# referencing the tables to be flushed.
tables = set(
chain.from_iterable(self._references_graph(table) for table in tables)
)
sql = [
"%s %s %s;"
% (
style.SQL_KEYWORD("DELETE"),
style.SQL_KEYWORD("FROM"),
style.SQL_FIELD(self.quote_name(table)),
)
for table in tables
]
if reset_sequences:
sequences = [{"table": table} for table in tables]
sql.extend(self.sequence_reset_by_name_sql(style, sequences))
return sql
def sequence_reset_by_name_sql(self, style, sequences):
if not sequences:
return []
return [
"%s %s %s %s = 0 %s %s %s (%s);"
% (
style.SQL_KEYWORD("UPDATE"),
style.SQL_TABLE(self.quote_name("sqlite_sequence")),
style.SQL_KEYWORD("SET"),
style.SQL_FIELD(self.quote_name("seq")),
style.SQL_KEYWORD("WHERE"),
style.SQL_FIELD(self.quote_name("name")),
style.SQL_KEYWORD("IN"),
", ".join(
["'%s'" % sequence_info["table"] for sequence_info in sequences]
),
),
]
def adapt_datetimefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# SQLite doesn't support tz-aware datetimes
if timezone.is_aware(value):
if settings.USE_TZ:
value = timezone.make_naive(value, self.connection.timezone)
else:
raise ValueError(
"SQLite backend does not support timezone-aware datetimes when "
"USE_TZ is False."
)
return str(value)
def adapt_timefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# SQLite doesn't support tz-aware datetimes
if timezone.is_aware(value):
raise ValueError("SQLite backend does not support timezone-aware times.")
return str(value)
def get_db_converters(self, expression):
converters = super().get_db_converters(expression)
internal_type = expression.output_field.get_internal_type()
if internal_type == "DateTimeField":
converters.append(self.convert_datetimefield_value)
elif internal_type == "DateField":
converters.append(self.convert_datefield_value)
elif internal_type == "TimeField":
converters.append(self.convert_timefield_value)
elif internal_type == "DecimalField":
converters.append(self.get_decimalfield_converter(expression))
elif internal_type == "UUIDField":
converters.append(self.convert_uuidfield_value)
elif internal_type == "BooleanField":
converters.append(self.convert_booleanfield_value)
return converters
def convert_datetimefield_value(self, value, expression, connection):
if value is not None:
if not isinstance(value, datetime.datetime):
value = parse_datetime(value)
if settings.USE_TZ and not timezone.is_aware(value):
value = timezone.make_aware(value, self.connection.timezone)
return value
def convert_datefield_value(self, value, expression, connection):
if value is not None:
if not isinstance(value, datetime.date):
value = parse_date(value)
return value
def convert_timefield_value(self, value, expression, connection):
if value is not None:
if not isinstance(value, datetime.time):
value = parse_time(value)
return value
def get_decimalfield_converter(self, expression):
# SQLite stores only 15 significant digits. Digits coming from
# float inaccuracy must be removed.
create_decimal = decimal.Context(prec=15).create_decimal_from_float
if isinstance(expression, Col):
quantize_value = decimal.Decimal(1).scaleb(
-expression.output_field.decimal_places
)
def converter(value, expression, connection):
if value is not None:
return create_decimal(value).quantize(
quantize_value, context=expression.output_field.context
)
else:
def converter(value, expression, connection):
if value is not None:
return create_decimal(value)
return converter
def convert_uuidfield_value(self, value, expression, connection):
if value is not None:
value = uuid.UUID(value)
return value
def convert_booleanfield_value(self, value, expression, connection):
return bool(value) if value in (1, 0) else value
def bulk_insert_sql(self, fields, placeholder_rows):
placeholder_rows_sql = (", ".join(row) for row in placeholder_rows)
values_sql = ", ".join(f"({sql})" for sql in placeholder_rows_sql)
return f"VALUES {values_sql}"
def combine_expression(self, connector, sub_expressions):
# SQLite doesn't have a ^ operator, so use the user-defined POWER
# function that's registered in connect().
if connector == "^":
return "POWER(%s)" % ",".join(sub_expressions)
elif connector == "#":
return "BITXOR(%s)" % ",".join(sub_expressions)
return super().combine_expression(connector, sub_expressions)
def combine_duration_expression(self, connector, sub_expressions):
if connector not in ["+", "-", "*", "/"]:
raise DatabaseError("Invalid connector for timedelta: %s." % connector)
fn_params = ["'%s'" % connector] + sub_expressions
if len(fn_params) > 3:
raise ValueError("Too many params for timedelta operations.")
return "django_format_dtdelta(%s)" % ", ".join(fn_params)
def integer_field_range(self, internal_type):
# SQLite doesn't enforce any integer constraints
return (None, None)
def subtract_temporals(self, internal_type, lhs, rhs):
lhs_sql, lhs_params = lhs
rhs_sql, rhs_params = rhs
params = (*lhs_params, *rhs_params)
if internal_type == "TimeField":
return "django_time_diff(%s, %s)" % (lhs_sql, rhs_sql), params
return "django_timestamp_diff(%s, %s)" % (lhs_sql, rhs_sql), params
def insert_statement(self, on_conflict=None):
if on_conflict == OnConflict.IGNORE:
return "INSERT OR IGNORE INTO"
return super().insert_statement(on_conflict=on_conflict)
def return_insert_columns(self, fields):
# SQLite < 3.35 doesn't support an INSERT...RETURNING statement.
if not fields:
return "", ()
columns = [
"%s.%s"
% (
self.quote_name(field.model._meta.db_table),
self.quote_name(field.column),
)
for field in fields
]
return "RETURNING %s" % ", ".join(columns), ()
def on_conflict_suffix_sql(self, fields, on_conflict, update_fields, unique_fields):
if (
on_conflict == OnConflict.UPDATE
and self.connection.features.supports_update_conflicts_with_target
):
return "ON CONFLICT(%s) DO UPDATE SET %s" % (
", ".join(map(self.quote_name, unique_fields)),
", ".join(
[
f"{field} = EXCLUDED.{field}"
for field in map(self.quote_name, update_fields)
]
),
)
return super().on_conflict_suffix_sql(
fields,
on_conflict,
update_fields,
unique_fields,
)

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import copy
from decimal import Decimal
from django.apps.registry import Apps
from django.db import NotSupportedError
from django.db.backends.base.schema import BaseDatabaseSchemaEditor
from django.db.backends.ddl_references import Statement
from django.db.backends.utils import strip_quotes
from django.db.models import UniqueConstraint
from django.db.transaction import atomic
class DatabaseSchemaEditor(BaseDatabaseSchemaEditor):
sql_delete_table = "DROP TABLE %(table)s"
sql_create_fk = None
sql_create_inline_fk = (
"REFERENCES %(to_table)s (%(to_column)s) DEFERRABLE INITIALLY DEFERRED"
)
sql_create_column_inline_fk = sql_create_inline_fk
sql_delete_column = "ALTER TABLE %(table)s DROP COLUMN %(column)s"
sql_create_unique = "CREATE UNIQUE INDEX %(name)s ON %(table)s (%(columns)s)"
sql_delete_unique = "DROP INDEX %(name)s"
def __enter__(self):
# Some SQLite schema alterations need foreign key constraints to be
# disabled. Enforce it here for the duration of the schema edition.
if not self.connection.disable_constraint_checking():
raise NotSupportedError(
"SQLite schema editor cannot be used while foreign key "
"constraint checks are enabled. Make sure to disable them "
"before entering a transaction.atomic() context because "
"SQLite does not support disabling them in the middle of "
"a multi-statement transaction."
)
return super().__enter__()
def __exit__(self, exc_type, exc_value, traceback):
self.connection.check_constraints()
super().__exit__(exc_type, exc_value, traceback)
self.connection.enable_constraint_checking()
def quote_value(self, value):
# The backend "mostly works" without this function and there are use
# cases for compiling Python without the sqlite3 libraries (e.g.
# security hardening).
try:
import sqlite3
value = sqlite3.adapt(value)
except ImportError:
pass
except sqlite3.ProgrammingError:
pass
# Manual emulation of SQLite parameter quoting
if isinstance(value, bool):
return str(int(value))
elif isinstance(value, (Decimal, float, int)):
return str(value)
elif isinstance(value, str):
return "'%s'" % value.replace("'", "''")
elif value is None:
return "NULL"
elif isinstance(value, (bytes, bytearray, memoryview)):
# Bytes are only allowed for BLOB fields, encoded as string
# literals containing hexadecimal data and preceded by a single "X"
# character.
return "X'%s'" % value.hex()
else:
raise ValueError(
"Cannot quote parameter value %r of type %s" % (value, type(value))
)
def prepare_default(self, value):
return self.quote_value(value)
def _is_referenced_by_fk_constraint(
self, table_name, column_name=None, ignore_self=False
):
"""
Return whether or not the provided table name is referenced by another
one. If `column_name` is specified, only references pointing to that
column are considered. If `ignore_self` is True, self-referential
constraints are ignored.
"""
with self.connection.cursor() as cursor:
for other_table in self.connection.introspection.get_table_list(cursor):
if ignore_self and other_table.name == table_name:
continue
relations = self.connection.introspection.get_relations(
cursor, other_table.name
)
for constraint_column, constraint_table in relations.values():
if constraint_table == table_name and (
column_name is None or constraint_column == column_name
):
return True
return False
def alter_db_table(
self, model, old_db_table, new_db_table, disable_constraints=True
):
if (
not self.connection.features.supports_atomic_references_rename
and disable_constraints
and self._is_referenced_by_fk_constraint(old_db_table)
):
if self.connection.in_atomic_block:
raise NotSupportedError(
(
"Renaming the %r table while in a transaction is not "
"supported on SQLite < 3.26 because it would break referential "
"integrity. Try adding `atomic = False` to the Migration class."
)
% old_db_table
)
self.connection.enable_constraint_checking()
super().alter_db_table(model, old_db_table, new_db_table)
self.connection.disable_constraint_checking()
else:
super().alter_db_table(model, old_db_table, new_db_table)
def alter_field(self, model, old_field, new_field, strict=False):
if not self._field_should_be_altered(old_field, new_field):
return
old_field_name = old_field.name
table_name = model._meta.db_table
_, old_column_name = old_field.get_attname_column()
if (
new_field.name != old_field_name
and not self.connection.features.supports_atomic_references_rename
and self._is_referenced_by_fk_constraint(
table_name, old_column_name, ignore_self=True
)
):
if self.connection.in_atomic_block:
raise NotSupportedError(
(
"Renaming the %r.%r column while in a transaction is not "
"supported on SQLite < 3.26 because it would break referential "
"integrity. Try adding `atomic = False` to the Migration class."
)
% (model._meta.db_table, old_field_name)
)
with atomic(self.connection.alias):
super().alter_field(model, old_field, new_field, strict=strict)
# Follow SQLite's documented procedure for performing changes
# that don't affect the on-disk content.
# https://sqlite.org/lang_altertable.html#otheralter
with self.connection.cursor() as cursor:
schema_version = cursor.execute("PRAGMA schema_version").fetchone()[
0
]
cursor.execute("PRAGMA writable_schema = 1")
references_template = ' REFERENCES "%s" ("%%s") ' % table_name
new_column_name = new_field.get_attname_column()[1]
search = references_template % old_column_name
replacement = references_template % new_column_name
cursor.execute(
"UPDATE sqlite_master SET sql = replace(sql, %s, %s)",
(search, replacement),
)
cursor.execute("PRAGMA schema_version = %d" % (schema_version + 1))
cursor.execute("PRAGMA writable_schema = 0")
# The integrity check will raise an exception and rollback
# the transaction if the sqlite_master updates corrupt the
# database.
cursor.execute("PRAGMA integrity_check")
# Perform a VACUUM to refresh the database representation from
# the sqlite_master table.
with self.connection.cursor() as cursor:
cursor.execute("VACUUM")
else:
super().alter_field(model, old_field, new_field, strict=strict)
def _remake_table(
self, model, create_field=None, delete_field=None, alter_fields=None
):
"""
Shortcut to transform a model from old_model into new_model
This follows the correct procedure to perform non-rename or column
addition operations based on SQLite's documentation
https://www.sqlite.org/lang_altertable.html#caution
The essential steps are:
1. Create a table with the updated definition called "new__app_model"
2. Copy the data from the existing "app_model" table to the new table
3. Drop the "app_model" table
4. Rename the "new__app_model" table to "app_model"
5. Restore any index of the previous "app_model" table.
"""
# Self-referential fields must be recreated rather than copied from
# the old model to ensure their remote_field.field_name doesn't refer
# to an altered field.
def is_self_referential(f):
return f.is_relation and f.remote_field.model is model
# Work out the new fields dict / mapping
body = {
f.name: f.clone() if is_self_referential(f) else f
for f in model._meta.local_concrete_fields
}
# Since mapping might mix column names and default values,
# its values must be already quoted.
mapping = {
f.column: self.quote_name(f.column)
for f in model._meta.local_concrete_fields
}
# This maps field names (not columns) for things like unique_together
rename_mapping = {}
# If any of the new or altered fields is introducing a new PK,
# remove the old one
restore_pk_field = None
alter_fields = alter_fields or []
if getattr(create_field, "primary_key", False) or any(
getattr(new_field, "primary_key", False) for _, new_field in alter_fields
):
for name, field in list(body.items()):
if field.primary_key and not any(
# Do not remove the old primary key when an altered field
# that introduces a primary key is the same field.
name == new_field.name
for _, new_field in alter_fields
):
field.primary_key = False
restore_pk_field = field
if field.auto_created:
del body[name]
del mapping[field.column]
# Add in any created fields
if create_field:
body[create_field.name] = create_field
# Choose a default and insert it into the copy map
if not create_field.many_to_many and create_field.concrete:
mapping[create_field.column] = self.prepare_default(
self.effective_default(create_field),
)
# Add in any altered fields
for alter_field in alter_fields:
old_field, new_field = alter_field
body.pop(old_field.name, None)
mapping.pop(old_field.column, None)
body[new_field.name] = new_field
if old_field.null and not new_field.null:
case_sql = "coalesce(%(col)s, %(default)s)" % {
"col": self.quote_name(old_field.column),
"default": self.prepare_default(self.effective_default(new_field)),
}
mapping[new_field.column] = case_sql
else:
mapping[new_field.column] = self.quote_name(old_field.column)
rename_mapping[old_field.name] = new_field.name
# Remove any deleted fields
if delete_field:
del body[delete_field.name]
del mapping[delete_field.column]
# Remove any implicit M2M tables
if (
delete_field.many_to_many
and delete_field.remote_field.through._meta.auto_created
):
return self.delete_model(delete_field.remote_field.through)
# Work inside a new app registry
apps = Apps()
# Work out the new value of unique_together, taking renames into
# account
unique_together = [
[rename_mapping.get(n, n) for n in unique]
for unique in model._meta.unique_together
]
# Work out the new value for index_together, taking renames into
# account
index_together = [
[rename_mapping.get(n, n) for n in index]
for index in model._meta.index_together
]
indexes = model._meta.indexes
if delete_field:
indexes = [
index for index in indexes if delete_field.name not in index.fields
]
constraints = list(model._meta.constraints)
# Provide isolated instances of the fields to the new model body so
# that the existing model's internals aren't interfered with when
# the dummy model is constructed.
body_copy = copy.deepcopy(body)
# Construct a new model with the new fields to allow self referential
# primary key to resolve to. This model won't ever be materialized as a
# table and solely exists for foreign key reference resolution purposes.
# This wouldn't be required if the schema editor was operating on model
# states instead of rendered models.
meta_contents = {
"app_label": model._meta.app_label,
"db_table": model._meta.db_table,
"unique_together": unique_together,
"index_together": index_together,
"indexes": indexes,
"constraints": constraints,
"apps": apps,
}
meta = type("Meta", (), meta_contents)
body_copy["Meta"] = meta
body_copy["__module__"] = model.__module__
type(model._meta.object_name, model.__bases__, body_copy)
# Construct a model with a renamed table name.
body_copy = copy.deepcopy(body)
meta_contents = {
"app_label": model._meta.app_label,
"db_table": "new__%s" % strip_quotes(model._meta.db_table),
"unique_together": unique_together,
"index_together": index_together,
"indexes": indexes,
"constraints": constraints,
"apps": apps,
}
meta = type("Meta", (), meta_contents)
body_copy["Meta"] = meta
body_copy["__module__"] = model.__module__
new_model = type("New%s" % model._meta.object_name, model.__bases__, body_copy)
# Create a new table with the updated schema.
self.create_model(new_model)
# Copy data from the old table into the new table
self.execute(
"INSERT INTO %s (%s) SELECT %s FROM %s"
% (
self.quote_name(new_model._meta.db_table),
", ".join(self.quote_name(x) for x in mapping),
", ".join(mapping.values()),
self.quote_name(model._meta.db_table),
)
)
# Delete the old table to make way for the new
self.delete_model(model, handle_autom2m=False)
# Rename the new table to take way for the old
self.alter_db_table(
new_model,
new_model._meta.db_table,
model._meta.db_table,
disable_constraints=False,
)
# Run deferred SQL on correct table
for sql in self.deferred_sql:
self.execute(sql)
self.deferred_sql = []
# Fix any PK-removed field
if restore_pk_field:
restore_pk_field.primary_key = True
def delete_model(self, model, handle_autom2m=True):
if handle_autom2m:
super().delete_model(model)
else:
# Delete the table (and only that)
self.execute(
self.sql_delete_table
% {
"table": self.quote_name(model._meta.db_table),
}
)
# Remove all deferred statements referencing the deleted table.
for sql in list(self.deferred_sql):
if isinstance(sql, Statement) and sql.references_table(
model._meta.db_table
):
self.deferred_sql.remove(sql)
def add_field(self, model, field):
"""Create a field on a model."""
# Special-case implicit M2M tables.
if field.many_to_many and field.remote_field.through._meta.auto_created:
self.create_model(field.remote_field.through)
elif (
# Primary keys and unique fields are not supported in ALTER TABLE
# ADD COLUMN.
field.primary_key
or field.unique
or
# Fields with default values cannot by handled by ALTER TABLE ADD
# COLUMN statement because DROP DEFAULT is not supported in
# ALTER TABLE.
not field.null
or self.effective_default(field) is not None
):
self._remake_table(model, create_field=field)
else:
super().add_field(model, field)
def remove_field(self, model, field):
"""
Remove a field from a model. Usually involves deleting a column,
but for M2Ms may involve deleting a table.
"""
# M2M fields are a special case
if field.many_to_many:
# For implicit M2M tables, delete the auto-created table
if field.remote_field.through._meta.auto_created:
self.delete_model(field.remote_field.through)
# For explicit "through" M2M fields, do nothing
elif (
self.connection.features.can_alter_table_drop_column
# Primary keys, unique fields, indexed fields, and foreign keys are
# not supported in ALTER TABLE DROP COLUMN.
and not field.primary_key
and not field.unique
and not field.db_index
and not (field.remote_field and field.db_constraint)
):
super().remove_field(model, field)
# For everything else, remake.
else:
# It might not actually have a column behind it
if field.db_parameters(connection=self.connection)["type"] is None:
return
self._remake_table(model, delete_field=field)
def _alter_field(
self,
model,
old_field,
new_field,
old_type,
new_type,
old_db_params,
new_db_params,
strict=False,
):
"""Perform a "physical" (non-ManyToMany) field update."""
# Use "ALTER TABLE ... RENAME COLUMN" if only the column name
# changed and there aren't any constraints.
if (
self.connection.features.can_alter_table_rename_column
and old_field.column != new_field.column
and self.column_sql(model, old_field) == self.column_sql(model, new_field)
and not (
old_field.remote_field
and old_field.db_constraint
or new_field.remote_field
and new_field.db_constraint
)
):
return self.execute(
self._rename_field_sql(
model._meta.db_table, old_field, new_field, new_type
)
)
# Alter by remaking table
self._remake_table(model, alter_fields=[(old_field, new_field)])
# Rebuild tables with FKs pointing to this field.
old_collation = old_db_params.get("collation")
new_collation = new_db_params.get("collation")
if new_field.unique and (
old_type != new_type or old_collation != new_collation
):
related_models = set()
opts = new_field.model._meta
for remote_field in opts.related_objects:
# Ignore self-relationship since the table was already rebuilt.
if remote_field.related_model == model:
continue
if not remote_field.many_to_many:
if remote_field.field_name == new_field.name:
related_models.add(remote_field.related_model)
elif new_field.primary_key and remote_field.through._meta.auto_created:
related_models.add(remote_field.through)
if new_field.primary_key:
for many_to_many in opts.many_to_many:
# Ignore self-relationship since the table was already rebuilt.
if many_to_many.related_model == model:
continue
if many_to_many.remote_field.through._meta.auto_created:
related_models.add(many_to_many.remote_field.through)
for related_model in related_models:
self._remake_table(related_model)
def _alter_many_to_many(self, model, old_field, new_field, strict):
"""Alter M2Ms to repoint their to= endpoints."""
if (
old_field.remote_field.through._meta.db_table
== new_field.remote_field.through._meta.db_table
):
# The field name didn't change, but some options did, so we have to
# propagate this altering.
self._remake_table(
old_field.remote_field.through,
alter_fields=[
(
# The field that points to the target model is needed,
# so that table can be remade with the new m2m field -
# this is m2m_reverse_field_name().
old_field.remote_field.through._meta.get_field(
old_field.m2m_reverse_field_name()
),
new_field.remote_field.through._meta.get_field(
new_field.m2m_reverse_field_name()
),
),
(
# The field that points to the model itself is needed,
# so that table can be remade with the new self field -
# this is m2m_field_name().
old_field.remote_field.through._meta.get_field(
old_field.m2m_field_name()
),
new_field.remote_field.through._meta.get_field(
new_field.m2m_field_name()
),
),
],
)
return
# Make a new through table
self.create_model(new_field.remote_field.through)
# Copy the data across
self.execute(
"INSERT INTO %s (%s) SELECT %s FROM %s"
% (
self.quote_name(new_field.remote_field.through._meta.db_table),
", ".join(
[
"id",
new_field.m2m_column_name(),
new_field.m2m_reverse_name(),
]
),
", ".join(
[
"id",
old_field.m2m_column_name(),
old_field.m2m_reverse_name(),
]
),
self.quote_name(old_field.remote_field.through._meta.db_table),
)
)
# Delete the old through table
self.delete_model(old_field.remote_field.through)
def add_constraint(self, model, constraint):
if isinstance(constraint, UniqueConstraint) and (
constraint.condition
or constraint.contains_expressions
or constraint.include
or constraint.deferrable
):
super().add_constraint(model, constraint)
else:
self._remake_table(model)
def remove_constraint(self, model, constraint):
if isinstance(constraint, UniqueConstraint) and (
constraint.condition
or constraint.contains_expressions
or constraint.include
or constraint.deferrable
):
super().remove_constraint(model, constraint)
else:
self._remake_table(model)
def _collate_sql(self, collation):
return "COLLATE " + collation

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import datetime
import decimal
import functools
import logging
import time
from contextlib import contextmanager
from django.db import NotSupportedError
from django.utils.crypto import md5
from django.utils.dateparse import parse_time
logger = logging.getLogger("django.db.backends")
class CursorWrapper:
def __init__(self, cursor, db):
self.cursor = cursor
self.db = db
WRAP_ERROR_ATTRS = frozenset(["fetchone", "fetchmany", "fetchall", "nextset"])
def __getattr__(self, attr):
cursor_attr = getattr(self.cursor, attr)
if attr in CursorWrapper.WRAP_ERROR_ATTRS:
return self.db.wrap_database_errors(cursor_attr)
else:
return cursor_attr
def __iter__(self):
with self.db.wrap_database_errors:
yield from self.cursor
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
# Close instead of passing through to avoid backend-specific behavior
# (#17671). Catch errors liberally because errors in cleanup code
# aren't useful.
try:
self.close()
except self.db.Database.Error:
pass
# The following methods cannot be implemented in __getattr__, because the
# code must run when the method is invoked, not just when it is accessed.
def callproc(self, procname, params=None, kparams=None):
# Keyword parameters for callproc aren't supported in PEP 249, but the
# database driver may support them (e.g. cx_Oracle).
if kparams is not None and not self.db.features.supports_callproc_kwargs:
raise NotSupportedError(
"Keyword parameters for callproc are not supported on this "
"database backend."
)
self.db.validate_no_broken_transaction()
with self.db.wrap_database_errors:
if params is None and kparams is None:
return self.cursor.callproc(procname)
elif kparams is None:
return self.cursor.callproc(procname, params)
else:
params = params or ()
return self.cursor.callproc(procname, params, kparams)
def execute(self, sql, params=None):
return self._execute_with_wrappers(
sql, params, many=False, executor=self._execute
)
def executemany(self, sql, param_list):
return self._execute_with_wrappers(
sql, param_list, many=True, executor=self._executemany
)
def _execute_with_wrappers(self, sql, params, many, executor):
context = {"connection": self.db, "cursor": self}
for wrapper in reversed(self.db.execute_wrappers):
executor = functools.partial(wrapper, executor)
return executor(sql, params, many, context)
def _execute(self, sql, params, *ignored_wrapper_args):
self.db.validate_no_broken_transaction()
with self.db.wrap_database_errors:
if params is None:
# params default might be backend specific.
return self.cursor.execute(sql)
else:
return self.cursor.execute(sql, params)
def _executemany(self, sql, param_list, *ignored_wrapper_args):
self.db.validate_no_broken_transaction()
with self.db.wrap_database_errors:
return self.cursor.executemany(sql, param_list)
class CursorDebugWrapper(CursorWrapper):
# XXX callproc isn't instrumented at this time.
def execute(self, sql, params=None):
with self.debug_sql(sql, params, use_last_executed_query=True):
return super().execute(sql, params)
def executemany(self, sql, param_list):
with self.debug_sql(sql, param_list, many=True):
return super().executemany(sql, param_list)
@contextmanager
def debug_sql(
self, sql=None, params=None, use_last_executed_query=False, many=False
):
start = time.monotonic()
try:
yield
finally:
stop = time.monotonic()
duration = stop - start
if use_last_executed_query:
sql = self.db.ops.last_executed_query(self.cursor, sql, params)
try:
times = len(params) if many else ""
except TypeError:
# params could be an iterator.
times = "?"
self.db.queries_log.append(
{
"sql": "%s times: %s" % (times, sql) if many else sql,
"time": "%.3f" % duration,
}
)
logger.debug(
"(%.3f) %s; args=%s; alias=%s",
duration,
sql,
params,
self.db.alias,
extra={
"duration": duration,
"sql": sql,
"params": params,
"alias": self.db.alias,
},
)
@contextmanager
def debug_transaction(connection, sql):
start = time.monotonic()
try:
yield
finally:
if connection.queries_logged:
stop = time.monotonic()
duration = stop - start
connection.queries_log.append(
{
"sql": "%s" % sql,
"time": "%.3f" % duration,
}
)
logger.debug(
"(%.3f) %s; args=%s; alias=%s",
duration,
sql,
None,
connection.alias,
extra={
"duration": duration,
"sql": sql,
"alias": connection.alias,
},
)
def split_tzname_delta(tzname):
"""
Split a time zone name into a 3-tuple of (name, sign, offset).
"""
for sign in ["+", "-"]:
if sign in tzname:
name, offset = tzname.rsplit(sign, 1)
if offset and parse_time(offset):
return name, sign, offset
return tzname, None, None
###############################################
# Converters from database (string) to Python #
###############################################
def typecast_date(s):
return (
datetime.date(*map(int, s.split("-"))) if s else None
) # return None if s is null
def typecast_time(s): # does NOT store time zone information
if not s:
return None
hour, minutes, seconds = s.split(":")
if "." in seconds: # check whether seconds have a fractional part
seconds, microseconds = seconds.split(".")
else:
microseconds = "0"
return datetime.time(
int(hour), int(minutes), int(seconds), int((microseconds + "000000")[:6])
)
def typecast_timestamp(s): # does NOT store time zone information
# "2005-07-29 15:48:00.590358-05"
# "2005-07-29 09:56:00-05"
if not s:
return None
if " " not in s:
return typecast_date(s)
d, t = s.split()
# Remove timezone information.
if "-" in t:
t, _ = t.split("-", 1)
elif "+" in t:
t, _ = t.split("+", 1)
dates = d.split("-")
times = t.split(":")
seconds = times[2]
if "." in seconds: # check whether seconds have a fractional part
seconds, microseconds = seconds.split(".")
else:
microseconds = "0"
return datetime.datetime(
int(dates[0]),
int(dates[1]),
int(dates[2]),
int(times[0]),
int(times[1]),
int(seconds),
int((microseconds + "000000")[:6]),
)
###############################################
# Converters from Python to database (string) #
###############################################
def split_identifier(identifier):
"""
Split an SQL identifier into a two element tuple of (namespace, name).
The identifier could be a table, column, or sequence name might be prefixed
by a namespace.
"""
try:
namespace, name = identifier.split('"."')
except ValueError:
namespace, name = "", identifier
return namespace.strip('"'), name.strip('"')
def truncate_name(identifier, length=None, hash_len=4):
"""
Shorten an SQL identifier to a repeatable mangled version with the given
length.
If a quote stripped name contains a namespace, e.g. USERNAME"."TABLE,
truncate the table portion only.
"""
namespace, name = split_identifier(identifier)
if length is None or len(name) <= length:
return identifier
digest = names_digest(name, length=hash_len)
return "%s%s%s" % (
'%s"."' % namespace if namespace else "",
name[: length - hash_len],
digest,
)
def names_digest(*args, length):
"""
Generate a 32-bit digest of a set of arguments that can be used to shorten
identifying names.
"""
h = md5(usedforsecurity=False)
for arg in args:
h.update(arg.encode())
return h.hexdigest()[:length]
def format_number(value, max_digits, decimal_places):
"""
Format a number into a string with the requisite number of digits and
decimal places.
"""
if value is None:
return None
context = decimal.getcontext().copy()
if max_digits is not None:
context.prec = max_digits
if decimal_places is not None:
value = value.quantize(
decimal.Decimal(1).scaleb(-decimal_places), context=context
)
else:
context.traps[decimal.Rounded] = 1
value = context.create_decimal(value)
return "{:f}".format(value)
def strip_quotes(table_name):
"""
Strip quotes off of quoted table names to make them safe for use in index
names, sequence names, etc. For example '"USER"."TABLE"' (an Oracle naming
scheme) becomes 'USER"."TABLE'.
"""
has_quotes = table_name.startswith('"') and table_name.endswith('"')
return table_name[1:-1] if has_quotes else table_name

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from django.core.exceptions import ObjectDoesNotExist
from django.db.models import signals
from django.db.models.aggregates import * # NOQA
from django.db.models.aggregates import __all__ as aggregates_all
from django.db.models.constraints import * # NOQA
from django.db.models.constraints import __all__ as constraints_all
from django.db.models.deletion import (
CASCADE,
DO_NOTHING,
PROTECT,
RESTRICT,
SET,
SET_DEFAULT,
SET_NULL,
ProtectedError,
RestrictedError,
)
from django.db.models.enums import * # NOQA
from django.db.models.enums import __all__ as enums_all
from django.db.models.expressions import (
Case,
Exists,
Expression,
ExpressionList,
ExpressionWrapper,
F,
Func,
OrderBy,
OuterRef,
RowRange,
Subquery,
Value,
ValueRange,
When,
Window,
WindowFrame,
)
from django.db.models.fields import * # NOQA
from django.db.models.fields import __all__ as fields_all
from django.db.models.fields.files import FileField, ImageField
from django.db.models.fields.json import JSONField
from django.db.models.fields.proxy import OrderWrt
from django.db.models.indexes import * # NOQA
from django.db.models.indexes import __all__ as indexes_all
from django.db.models.lookups import Lookup, Transform
from django.db.models.manager import Manager
from django.db.models.query import Prefetch, QuerySet, prefetch_related_objects
from django.db.models.query_utils import FilteredRelation, Q
# Imports that would create circular imports if sorted
from django.db.models.base import DEFERRED, Model # isort:skip
from django.db.models.fields.related import ( # isort:skip
ForeignKey,
ForeignObject,
OneToOneField,
ManyToManyField,
ForeignObjectRel,
ManyToOneRel,
ManyToManyRel,
OneToOneRel,
)
__all__ = aggregates_all + constraints_all + enums_all + fields_all + indexes_all
__all__ += [
"ObjectDoesNotExist",
"signals",
"CASCADE",
"DO_NOTHING",
"PROTECT",
"RESTRICT",
"SET",
"SET_DEFAULT",
"SET_NULL",
"ProtectedError",
"RestrictedError",
"Case",
"Exists",
"Expression",
"ExpressionList",
"ExpressionWrapper",
"F",
"Func",
"OrderBy",
"OuterRef",
"RowRange",
"Subquery",
"Value",
"ValueRange",
"When",
"Window",
"WindowFrame",
"FileField",
"ImageField",
"JSONField",
"OrderWrt",
"Lookup",
"Transform",
"Manager",
"Prefetch",
"Q",
"QuerySet",
"prefetch_related_objects",
"DEFERRED",
"Model",
"FilteredRelation",
"ForeignKey",
"ForeignObject",
"OneToOneField",
"ManyToManyField",
"ForeignObjectRel",
"ManyToOneRel",
"ManyToManyRel",
"OneToOneRel",
]

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"""
Classes to represent the definitions of aggregate functions.
"""
from django.core.exceptions import FieldError, FullResultSet
from django.db.models.expressions import Case, Func, Star, Value, When
from django.db.models.fields import IntegerField
from django.db.models.functions.comparison import Coalesce
from django.db.models.functions.mixins import (
FixDurationInputMixin,
NumericOutputFieldMixin,
)
__all__ = [
"Aggregate",
"Avg",
"Count",
"Max",
"Min",
"StdDev",
"Sum",
"Variance",
]
class Aggregate(Func):
template = "%(function)s(%(distinct)s%(expressions)s)"
contains_aggregate = True
name = None
filter_template = "%s FILTER (WHERE %%(filter)s)"
window_compatible = True
allow_distinct = False
empty_result_set_value = None
def __init__(
self, *expressions, distinct=False, filter=None, default=None, **extra
):
if distinct and not self.allow_distinct:
raise TypeError("%s does not allow distinct." % self.__class__.__name__)
if default is not None and self.empty_result_set_value is not None:
raise TypeError(f"{self.__class__.__name__} does not allow default.")
self.distinct = distinct
self.filter = filter
self.default = default
super().__init__(*expressions, **extra)
def get_source_fields(self):
# Don't return the filter expression since it's not a source field.
return [e._output_field_or_none for e in super().get_source_expressions()]
def get_source_expressions(self):
source_expressions = super().get_source_expressions()
if self.filter:
return source_expressions + [self.filter]
return source_expressions
def set_source_expressions(self, exprs):
self.filter = self.filter and exprs.pop()
return super().set_source_expressions(exprs)
def resolve_expression(
self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
):
# Aggregates are not allowed in UPDATE queries, so ignore for_save
c = super().resolve_expression(query, allow_joins, reuse, summarize)
c.filter = c.filter and c.filter.resolve_expression(
query, allow_joins, reuse, summarize
)
if summarize:
# Summarized aggregates cannot refer to summarized aggregates.
for ref in c.get_refs():
if query.annotations[ref].is_summary:
raise FieldError(
f"Cannot compute {c.name}('{ref}'): '{ref}' is an aggregate"
)
elif not self.is_summary:
# Call Aggregate.get_source_expressions() to avoid
# returning self.filter and including that in this loop.
expressions = super(Aggregate, c).get_source_expressions()
for index, expr in enumerate(expressions):
if expr.contains_aggregate:
before_resolved = self.get_source_expressions()[index]
name = (
before_resolved.name
if hasattr(before_resolved, "name")
else repr(before_resolved)
)
raise FieldError(
"Cannot compute %s('%s'): '%s' is an aggregate"
% (c.name, name, name)
)
if (default := c.default) is None:
return c
if hasattr(default, "resolve_expression"):
default = default.resolve_expression(query, allow_joins, reuse, summarize)
if default._output_field_or_none is None:
default.output_field = c._output_field_or_none
else:
default = Value(default, c._output_field_or_none)
c.default = None # Reset the default argument before wrapping.
coalesce = Coalesce(c, default, output_field=c._output_field_or_none)
coalesce.is_summary = c.is_summary
return coalesce
@property
def default_alias(self):
expressions = self.get_source_expressions()
if len(expressions) == 1 and hasattr(expressions[0], "name"):
return "%s__%s" % (expressions[0].name, self.name.lower())
raise TypeError("Complex expressions require an alias")
def get_group_by_cols(self):
return []
def as_sql(self, compiler, connection, **extra_context):
extra_context["distinct"] = "DISTINCT " if self.distinct else ""
if self.filter:
if connection.features.supports_aggregate_filter_clause:
try:
filter_sql, filter_params = self.filter.as_sql(compiler, connection)
except FullResultSet:
pass
else:
template = self.filter_template % extra_context.get(
"template", self.template
)
sql, params = super().as_sql(
compiler,
connection,
template=template,
filter=filter_sql,
**extra_context,
)
return sql, (*params, *filter_params)
else:
copy = self.copy()
copy.filter = None
source_expressions = copy.get_source_expressions()
condition = When(self.filter, then=source_expressions[0])
copy.set_source_expressions([Case(condition)] + source_expressions[1:])
return super(Aggregate, copy).as_sql(
compiler, connection, **extra_context
)
return super().as_sql(compiler, connection, **extra_context)
def _get_repr_options(self):
options = super()._get_repr_options()
if self.distinct:
options["distinct"] = self.distinct
if self.filter:
options["filter"] = self.filter
return options
class Avg(FixDurationInputMixin, NumericOutputFieldMixin, Aggregate):
function = "AVG"
name = "Avg"
allow_distinct = True
class Count(Aggregate):
function = "COUNT"
name = "Count"
output_field = IntegerField()
allow_distinct = True
empty_result_set_value = 0
def __init__(self, expression, filter=None, **extra):
if expression == "*":
expression = Star()
if isinstance(expression, Star) and filter is not None:
raise ValueError("Star cannot be used with filter. Please specify a field.")
super().__init__(expression, filter=filter, **extra)
class Max(Aggregate):
function = "MAX"
name = "Max"
class Min(Aggregate):
function = "MIN"
name = "Min"
class StdDev(NumericOutputFieldMixin, Aggregate):
name = "StdDev"
def __init__(self, expression, sample=False, **extra):
self.function = "STDDEV_SAMP" if sample else "STDDEV_POP"
super().__init__(expression, **extra)
def _get_repr_options(self):
return {**super()._get_repr_options(), "sample": self.function == "STDDEV_SAMP"}
class Sum(FixDurationInputMixin, Aggregate):
function = "SUM"
name = "Sum"
allow_distinct = True
class Variance(NumericOutputFieldMixin, Aggregate):
name = "Variance"
def __init__(self, expression, sample=False, **extra):
self.function = "VAR_SAMP" if sample else "VAR_POP"
super().__init__(expression, **extra)
def _get_repr_options(self):
return {**super()._get_repr_options(), "sample": self.function == "VAR_SAMP"}

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"""
Constants used across the ORM in general.
"""
from enum import Enum
# Separator used to split filter strings apart.
LOOKUP_SEP = "__"
class OnConflict(Enum):
IGNORE = "ignore"
UPDATE = "update"

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from enum import Enum
from django.core.exceptions import FieldError, ValidationError
from django.db import connections
from django.db.models.expressions import Exists, ExpressionList, F, OrderBy
from django.db.models.indexes import IndexExpression
from django.db.models.lookups import Exact
from django.db.models.query_utils import Q
from django.db.models.sql.query import Query
from django.db.utils import DEFAULT_DB_ALIAS
from django.utils.translation import gettext_lazy as _
__all__ = ["BaseConstraint", "CheckConstraint", "Deferrable", "UniqueConstraint"]
class BaseConstraint:
default_violation_error_message = _("Constraint “%(name)s” is violated.")
violation_error_message = None
def __init__(self, name, violation_error_message=None):
self.name = name
if violation_error_message is not None:
self.violation_error_message = violation_error_message
else:
self.violation_error_message = self.default_violation_error_message
@property
def contains_expressions(self):
return False
def constraint_sql(self, model, schema_editor):
raise NotImplementedError("This method must be implemented by a subclass.")
def create_sql(self, model, schema_editor):
raise NotImplementedError("This method must be implemented by a subclass.")
def remove_sql(self, model, schema_editor):
raise NotImplementedError("This method must be implemented by a subclass.")
def validate(self, model, instance, exclude=None, using=DEFAULT_DB_ALIAS):
raise NotImplementedError("This method must be implemented by a subclass.")
def get_violation_error_message(self):
return self.violation_error_message % {"name": self.name}
def deconstruct(self):
path = "%s.%s" % (self.__class__.__module__, self.__class__.__name__)
path = path.replace("django.db.models.constraints", "django.db.models")
kwargs = {"name": self.name}
if (
self.violation_error_message is not None
and self.violation_error_message != self.default_violation_error_message
):
kwargs["violation_error_message"] = self.violation_error_message
return (path, (), kwargs)
def clone(self):
_, args, kwargs = self.deconstruct()
return self.__class__(*args, **kwargs)
class CheckConstraint(BaseConstraint):
def __init__(self, *, check, name, violation_error_message=None):
self.check = check
if not getattr(check, "conditional", False):
raise TypeError(
"CheckConstraint.check must be a Q instance or boolean expression."
)
super().__init__(name, violation_error_message=violation_error_message)
def _get_check_sql(self, model, schema_editor):
query = Query(model=model, alias_cols=False)
where = query.build_where(self.check)
compiler = query.get_compiler(connection=schema_editor.connection)
sql, params = where.as_sql(compiler, schema_editor.connection)
return sql % tuple(schema_editor.quote_value(p) for p in params)
def constraint_sql(self, model, schema_editor):
check = self._get_check_sql(model, schema_editor)
return schema_editor._check_sql(self.name, check)
def create_sql(self, model, schema_editor):
check = self._get_check_sql(model, schema_editor)
return schema_editor._create_check_sql(model, self.name, check)
def remove_sql(self, model, schema_editor):
return schema_editor._delete_check_sql(model, self.name)
def validate(self, model, instance, exclude=None, using=DEFAULT_DB_ALIAS):
against = instance._get_field_value_map(meta=model._meta, exclude=exclude)
try:
if not Q(self.check).check(against, using=using):
raise ValidationError(self.get_violation_error_message())
except FieldError:
pass
def __repr__(self):
return "<%s: check=%s name=%s>" % (
self.__class__.__qualname__,
self.check,
repr(self.name),
)
def __eq__(self, other):
if isinstance(other, CheckConstraint):
return (
self.name == other.name
and self.check == other.check
and self.violation_error_message == other.violation_error_message
)
return super().__eq__(other)
def deconstruct(self):
path, args, kwargs = super().deconstruct()
kwargs["check"] = self.check
return path, args, kwargs
class Deferrable(Enum):
DEFERRED = "deferred"
IMMEDIATE = "immediate"
# A similar format was proposed for Python 3.10.
def __repr__(self):
return f"{self.__class__.__qualname__}.{self._name_}"
class UniqueConstraint(BaseConstraint):
def __init__(
self,
*expressions,
fields=(),
name=None,
condition=None,
deferrable=None,
include=None,
opclasses=(),
violation_error_message=None,
):
if not name:
raise ValueError("A unique constraint must be named.")
if not expressions and not fields:
raise ValueError(
"At least one field or expression is required to define a "
"unique constraint."
)
if expressions and fields:
raise ValueError(
"UniqueConstraint.fields and expressions are mutually exclusive."
)
if not isinstance(condition, (type(None), Q)):
raise ValueError("UniqueConstraint.condition must be a Q instance.")
if condition and deferrable:
raise ValueError("UniqueConstraint with conditions cannot be deferred.")
if include and deferrable:
raise ValueError("UniqueConstraint with include fields cannot be deferred.")
if opclasses and deferrable:
raise ValueError("UniqueConstraint with opclasses cannot be deferred.")
if expressions and deferrable:
raise ValueError("UniqueConstraint with expressions cannot be deferred.")
if expressions and opclasses:
raise ValueError(
"UniqueConstraint.opclasses cannot be used with expressions. "
"Use django.contrib.postgres.indexes.OpClass() instead."
)
if not isinstance(deferrable, (type(None), Deferrable)):
raise ValueError(
"UniqueConstraint.deferrable must be a Deferrable instance."
)
if not isinstance(include, (type(None), list, tuple)):
raise ValueError("UniqueConstraint.include must be a list or tuple.")
if not isinstance(opclasses, (list, tuple)):
raise ValueError("UniqueConstraint.opclasses must be a list or tuple.")
if opclasses and len(fields) != len(opclasses):
raise ValueError(
"UniqueConstraint.fields and UniqueConstraint.opclasses must "
"have the same number of elements."
)
self.fields = tuple(fields)
self.condition = condition
self.deferrable = deferrable
self.include = tuple(include) if include else ()
self.opclasses = opclasses
self.expressions = tuple(
F(expression) if isinstance(expression, str) else expression
for expression in expressions
)
super().__init__(name, violation_error_message=violation_error_message)
@property
def contains_expressions(self):
return bool(self.expressions)
def _get_condition_sql(self, model, schema_editor):
if self.condition is None:
return None
query = Query(model=model, alias_cols=False)
where = query.build_where(self.condition)
compiler = query.get_compiler(connection=schema_editor.connection)
sql, params = where.as_sql(compiler, schema_editor.connection)
return sql % tuple(schema_editor.quote_value(p) for p in params)
def _get_index_expressions(self, model, schema_editor):
if not self.expressions:
return None
index_expressions = []
for expression in self.expressions:
index_expression = IndexExpression(expression)
index_expression.set_wrapper_classes(schema_editor.connection)
index_expressions.append(index_expression)
return ExpressionList(*index_expressions).resolve_expression(
Query(model, alias_cols=False),
)
def constraint_sql(self, model, schema_editor):
fields = [model._meta.get_field(field_name) for field_name in self.fields]
include = [
model._meta.get_field(field_name).column for field_name in self.include
]
condition = self._get_condition_sql(model, schema_editor)
expressions = self._get_index_expressions(model, schema_editor)
return schema_editor._unique_sql(
model,
fields,
self.name,
condition=condition,
deferrable=self.deferrable,
include=include,
opclasses=self.opclasses,
expressions=expressions,
)
def create_sql(self, model, schema_editor):
fields = [model._meta.get_field(field_name) for field_name in self.fields]
include = [
model._meta.get_field(field_name).column for field_name in self.include
]
condition = self._get_condition_sql(model, schema_editor)
expressions = self._get_index_expressions(model, schema_editor)
return schema_editor._create_unique_sql(
model,
fields,
self.name,
condition=condition,
deferrable=self.deferrable,
include=include,
opclasses=self.opclasses,
expressions=expressions,
)
def remove_sql(self, model, schema_editor):
condition = self._get_condition_sql(model, schema_editor)
include = [
model._meta.get_field(field_name).column for field_name in self.include
]
expressions = self._get_index_expressions(model, schema_editor)
return schema_editor._delete_unique_sql(
model,
self.name,
condition=condition,
deferrable=self.deferrable,
include=include,
opclasses=self.opclasses,
expressions=expressions,
)
def __repr__(self):
return "<%s:%s%s%s%s%s%s%s>" % (
self.__class__.__qualname__,
"" if not self.fields else " fields=%s" % repr(self.fields),
"" if not self.expressions else " expressions=%s" % repr(self.expressions),
" name=%s" % repr(self.name),
"" if self.condition is None else " condition=%s" % self.condition,
"" if self.deferrable is None else " deferrable=%r" % self.deferrable,
"" if not self.include else " include=%s" % repr(self.include),
"" if not self.opclasses else " opclasses=%s" % repr(self.opclasses),
)
def __eq__(self, other):
if isinstance(other, UniqueConstraint):
return (
self.name == other.name
and self.fields == other.fields
and self.condition == other.condition
and self.deferrable == other.deferrable
and self.include == other.include
and self.opclasses == other.opclasses
and self.expressions == other.expressions
and self.violation_error_message == other.violation_error_message
)
return super().__eq__(other)
def deconstruct(self):
path, args, kwargs = super().deconstruct()
if self.fields:
kwargs["fields"] = self.fields
if self.condition:
kwargs["condition"] = self.condition
if self.deferrable:
kwargs["deferrable"] = self.deferrable
if self.include:
kwargs["include"] = self.include
if self.opclasses:
kwargs["opclasses"] = self.opclasses
return path, self.expressions, kwargs
def validate(self, model, instance, exclude=None, using=DEFAULT_DB_ALIAS):
queryset = model._default_manager.using(using)
if self.fields:
lookup_kwargs = {}
for field_name in self.fields:
if exclude and field_name in exclude:
return
field = model._meta.get_field(field_name)
lookup_value = getattr(instance, field.attname)
if lookup_value is None or (
lookup_value == ""
and connections[using].features.interprets_empty_strings_as_nulls
):
# A composite constraint containing NULL value cannot cause
# a violation since NULL != NULL in SQL.
return
lookup_kwargs[field.name] = lookup_value
queryset = queryset.filter(**lookup_kwargs)
else:
# Ignore constraints with excluded fields.
if exclude:
for expression in self.expressions:
if hasattr(expression, "flatten"):
for expr in expression.flatten():
if isinstance(expr, F) and expr.name in exclude:
return
elif isinstance(expression, F) and expression.name in exclude:
return
replacements = {
F(field): value
for field, value in instance._get_field_value_map(
meta=model._meta, exclude=exclude
).items()
}
expressions = []
for expr in self.expressions:
# Ignore ordering.
if isinstance(expr, OrderBy):
expr = expr.expression
expressions.append(Exact(expr, expr.replace_expressions(replacements)))
queryset = queryset.filter(*expressions)
model_class_pk = instance._get_pk_val(model._meta)
if not instance._state.adding and model_class_pk is not None:
queryset = queryset.exclude(pk=model_class_pk)
if not self.condition:
if queryset.exists():
if self.expressions:
raise ValidationError(self.get_violation_error_message())
# When fields are defined, use the unique_error_message() for
# backward compatibility.
for model, constraints in instance.get_constraints():
for constraint in constraints:
if constraint is self:
raise ValidationError(
instance.unique_error_message(model, self.fields)
)
else:
against = instance._get_field_value_map(meta=model._meta, exclude=exclude)
try:
if (self.condition & Exists(queryset.filter(self.condition))).check(
against, using=using
):
raise ValidationError(self.get_violation_error_message())
except FieldError:
pass

522
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from collections import Counter, defaultdict
from functools import partial, reduce
from itertools import chain
from operator import attrgetter, or_
from django.db import IntegrityError, connections, models, transaction
from django.db.models import query_utils, signals, sql
class ProtectedError(IntegrityError):
def __init__(self, msg, protected_objects):
self.protected_objects = protected_objects
super().__init__(msg, protected_objects)
class RestrictedError(IntegrityError):
def __init__(self, msg, restricted_objects):
self.restricted_objects = restricted_objects
super().__init__(msg, restricted_objects)
def CASCADE(collector, field, sub_objs, using):
collector.collect(
sub_objs,
source=field.remote_field.model,
source_attr=field.name,
nullable=field.null,
fail_on_restricted=False,
)
if field.null and not connections[using].features.can_defer_constraint_checks:
collector.add_field_update(field, None, sub_objs)
def PROTECT(collector, field, sub_objs, using):
raise ProtectedError(
"Cannot delete some instances of model '%s' because they are "
"referenced through a protected foreign key: '%s.%s'"
% (
field.remote_field.model.__name__,
sub_objs[0].__class__.__name__,
field.name,
),
sub_objs,
)
def RESTRICT(collector, field, sub_objs, using):
collector.add_restricted_objects(field, sub_objs)
collector.add_dependency(field.remote_field.model, field.model)
def SET(value):
if callable(value):
def set_on_delete(collector, field, sub_objs, using):
collector.add_field_update(field, value(), sub_objs)
else:
def set_on_delete(collector, field, sub_objs, using):
collector.add_field_update(field, value, sub_objs)
set_on_delete.deconstruct = lambda: ("django.db.models.SET", (value,), {})
set_on_delete.lazy_sub_objs = True
return set_on_delete
def SET_NULL(collector, field, sub_objs, using):
collector.add_field_update(field, None, sub_objs)
SET_NULL.lazy_sub_objs = True
def SET_DEFAULT(collector, field, sub_objs, using):
collector.add_field_update(field, field.get_default(), sub_objs)
SET_DEFAULT.lazy_sub_objs = True
def DO_NOTHING(collector, field, sub_objs, using):
pass
def get_candidate_relations_to_delete(opts):
# The candidate relations are the ones that come from N-1 and 1-1 relations.
# N-N (i.e., many-to-many) relations aren't candidates for deletion.
return (
f
for f in opts.get_fields(include_hidden=True)
if f.auto_created and not f.concrete and (f.one_to_one or f.one_to_many)
)
class Collector:
def __init__(self, using, origin=None):
self.using = using
# A Model or QuerySet object.
self.origin = origin
# Initially, {model: {instances}}, later values become lists.
self.data = defaultdict(set)
# {(field, value): [instances, …]}
self.field_updates = defaultdict(list)
# {model: {field: {instances}}}
self.restricted_objects = defaultdict(partial(defaultdict, set))
# fast_deletes is a list of queryset-likes that can be deleted without
# fetching the objects into memory.
self.fast_deletes = []
# Tracks deletion-order dependency for databases without transactions
# or ability to defer constraint checks. Only concrete model classes
# should be included, as the dependencies exist only between actual
# database tables; proxy models are represented here by their concrete
# parent.
self.dependencies = defaultdict(set) # {model: {models}}
def add(self, objs, source=None, nullable=False, reverse_dependency=False):
"""
Add 'objs' to the collection of objects to be deleted. If the call is
the result of a cascade, 'source' should be the model that caused it,
and 'nullable' should be set to True if the relation can be null.
Return a list of all objects that were not already collected.
"""
if not objs:
return []
new_objs = []
model = objs[0].__class__
instances = self.data[model]
for obj in objs:
if obj not in instances:
new_objs.append(obj)
instances.update(new_objs)
# Nullable relationships can be ignored -- they are nulled out before
# deleting, and therefore do not affect the order in which objects have
# to be deleted.
if source is not None and not nullable:
self.add_dependency(source, model, reverse_dependency=reverse_dependency)
return new_objs
def add_dependency(self, model, dependency, reverse_dependency=False):
if reverse_dependency:
model, dependency = dependency, model
self.dependencies[model._meta.concrete_model].add(
dependency._meta.concrete_model
)
self.data.setdefault(dependency, self.data.default_factory())
def add_field_update(self, field, value, objs):
"""
Schedule a field update. 'objs' must be a homogeneous iterable
collection of model instances (e.g. a QuerySet).
"""
self.field_updates[field, value].append(objs)
def add_restricted_objects(self, field, objs):
if objs:
model = objs[0].__class__
self.restricted_objects[model][field].update(objs)
def clear_restricted_objects_from_set(self, model, objs):
if model in self.restricted_objects:
self.restricted_objects[model] = {
field: items - objs
for field, items in self.restricted_objects[model].items()
}
def clear_restricted_objects_from_queryset(self, model, qs):
if model in self.restricted_objects:
objs = set(
qs.filter(
pk__in=[
obj.pk
for objs in self.restricted_objects[model].values()
for obj in objs
]
)
)
self.clear_restricted_objects_from_set(model, objs)
def _has_signal_listeners(self, model):
return signals.pre_delete.has_listeners(
model
) or signals.post_delete.has_listeners(model)
def can_fast_delete(self, objs, from_field=None):
"""
Determine if the objects in the given queryset-like or single object
can be fast-deleted. This can be done if there are no cascades, no
parents and no signal listeners for the object class.
The 'from_field' tells where we are coming from - we need this to
determine if the objects are in fact to be deleted. Allow also
skipping parent -> child -> parent chain preventing fast delete of
the child.
"""
if from_field and from_field.remote_field.on_delete is not CASCADE:
return False
if hasattr(objs, "_meta"):
model = objs._meta.model
elif hasattr(objs, "model") and hasattr(objs, "_raw_delete"):
model = objs.model
else:
return False
if self._has_signal_listeners(model):
return False
# The use of from_field comes from the need to avoid cascade back to
# parent when parent delete is cascading to child.
opts = model._meta
return (
all(
link == from_field
for link in opts.concrete_model._meta.parents.values()
)
and
# Foreign keys pointing to this model.
all(
related.field.remote_field.on_delete is DO_NOTHING
for related in get_candidate_relations_to_delete(opts)
)
and (
# Something like generic foreign key.
not any(
hasattr(field, "bulk_related_objects")
for field in opts.private_fields
)
)
)
def get_del_batches(self, objs, fields):
"""
Return the objs in suitably sized batches for the used connection.
"""
field_names = [field.name for field in fields]
conn_batch_size = max(
connections[self.using].ops.bulk_batch_size(field_names, objs), 1
)
if len(objs) > conn_batch_size:
return [
objs[i : i + conn_batch_size]
for i in range(0, len(objs), conn_batch_size)
]
else:
return [objs]
def collect(
self,
objs,
source=None,
nullable=False,
collect_related=True,
source_attr=None,
reverse_dependency=False,
keep_parents=False,
fail_on_restricted=True,
):
"""
Add 'objs' to the collection of objects to be deleted as well as all
parent instances. 'objs' must be a homogeneous iterable collection of
model instances (e.g. a QuerySet). If 'collect_related' is True,
related objects will be handled by their respective on_delete handler.
If the call is the result of a cascade, 'source' should be the model
that caused it and 'nullable' should be set to True, if the relation
can be null.
If 'reverse_dependency' is True, 'source' will be deleted before the
current model, rather than after. (Needed for cascading to parent
models, the one case in which the cascade follows the forwards
direction of an FK rather than the reverse direction.)
If 'keep_parents' is True, data of parent model's will be not deleted.
If 'fail_on_restricted' is False, error won't be raised even if it's
prohibited to delete such objects due to RESTRICT, that defers
restricted object checking in recursive calls where the top-level call
may need to collect more objects to determine whether restricted ones
can be deleted.
"""
if self.can_fast_delete(objs):
self.fast_deletes.append(objs)
return
new_objs = self.add(
objs, source, nullable, reverse_dependency=reverse_dependency
)
if not new_objs:
return
model = new_objs[0].__class__
if not keep_parents:
# Recursively collect concrete model's parent models, but not their
# related objects. These will be found by meta.get_fields()
concrete_model = model._meta.concrete_model
for ptr in concrete_model._meta.parents.values():
if ptr:
parent_objs = [getattr(obj, ptr.name) for obj in new_objs]
self.collect(
parent_objs,
source=model,
source_attr=ptr.remote_field.related_name,
collect_related=False,
reverse_dependency=True,
fail_on_restricted=False,
)
if not collect_related:
return
if keep_parents:
parents = set(model._meta.get_parent_list())
model_fast_deletes = defaultdict(list)
protected_objects = defaultdict(list)
for related in get_candidate_relations_to_delete(model._meta):
# Preserve parent reverse relationships if keep_parents=True.
if keep_parents and related.model in parents:
continue
field = related.field
on_delete = field.remote_field.on_delete
if on_delete == DO_NOTHING:
continue
related_model = related.related_model
if self.can_fast_delete(related_model, from_field=field):
model_fast_deletes[related_model].append(field)
continue
batches = self.get_del_batches(new_objs, [field])
for batch in batches:
sub_objs = self.related_objects(related_model, [field], batch)
# Non-referenced fields can be deferred if no signal receivers
# are connected for the related model as they'll never be
# exposed to the user. Skip field deferring when some
# relationships are select_related as interactions between both
# features are hard to get right. This should only happen in
# the rare cases where .related_objects is overridden anyway.
if not (
sub_objs.query.select_related
or self._has_signal_listeners(related_model)
):
referenced_fields = set(
chain.from_iterable(
(rf.attname for rf in rel.field.foreign_related_fields)
for rel in get_candidate_relations_to_delete(
related_model._meta
)
)
)
sub_objs = sub_objs.only(*tuple(referenced_fields))
if getattr(on_delete, "lazy_sub_objs", False) or sub_objs:
try:
on_delete(self, field, sub_objs, self.using)
except ProtectedError as error:
key = "'%s.%s'" % (field.model.__name__, field.name)
protected_objects[key] += error.protected_objects
if protected_objects:
raise ProtectedError(
"Cannot delete some instances of model %r because they are "
"referenced through protected foreign keys: %s."
% (
model.__name__,
", ".join(protected_objects),
),
set(chain.from_iterable(protected_objects.values())),
)
for related_model, related_fields in model_fast_deletes.items():
batches = self.get_del_batches(new_objs, related_fields)
for batch in batches:
sub_objs = self.related_objects(related_model, related_fields, batch)
self.fast_deletes.append(sub_objs)
for field in model._meta.private_fields:
if hasattr(field, "bulk_related_objects"):
# It's something like generic foreign key.
sub_objs = field.bulk_related_objects(new_objs, self.using)
self.collect(
sub_objs, source=model, nullable=True, fail_on_restricted=False
)
if fail_on_restricted:
# Raise an error if collected restricted objects (RESTRICT) aren't
# candidates for deletion also collected via CASCADE.
for related_model, instances in self.data.items():
self.clear_restricted_objects_from_set(related_model, instances)
for qs in self.fast_deletes:
self.clear_restricted_objects_from_queryset(qs.model, qs)
if self.restricted_objects.values():
restricted_objects = defaultdict(list)
for related_model, fields in self.restricted_objects.items():
for field, objs in fields.items():
if objs:
key = "'%s.%s'" % (related_model.__name__, field.name)
restricted_objects[key] += objs
if restricted_objects:
raise RestrictedError(
"Cannot delete some instances of model %r because "
"they are referenced through restricted foreign keys: "
"%s."
% (
model.__name__,
", ".join(restricted_objects),
),
set(chain.from_iterable(restricted_objects.values())),
)
def related_objects(self, related_model, related_fields, objs):
"""
Get a QuerySet of the related model to objs via related fields.
"""
predicate = query_utils.Q.create(
[(f"{related_field.name}__in", objs) for related_field in related_fields],
connector=query_utils.Q.OR,
)
return related_model._base_manager.using(self.using).filter(predicate)
def instances_with_model(self):
for model, instances in self.data.items():
for obj in instances:
yield model, obj
def sort(self):
sorted_models = []
concrete_models = set()
models = list(self.data)
while len(sorted_models) < len(models):
found = False
for model in models:
if model in sorted_models:
continue
dependencies = self.dependencies.get(model._meta.concrete_model)
if not (dependencies and dependencies.difference(concrete_models)):
sorted_models.append(model)
concrete_models.add(model._meta.concrete_model)
found = True
if not found:
return
self.data = {model: self.data[model] for model in sorted_models}
def delete(self):
# sort instance collections
for model, instances in self.data.items():
self.data[model] = sorted(instances, key=attrgetter("pk"))
# if possible, bring the models in an order suitable for databases that
# don't support transactions or cannot defer constraint checks until the
# end of a transaction.
self.sort()
# number of objects deleted for each model label
deleted_counter = Counter()
# Optimize for the case with a single obj and no dependencies
if len(self.data) == 1 and len(instances) == 1:
instance = list(instances)[0]
if self.can_fast_delete(instance):
with transaction.mark_for_rollback_on_error(self.using):
count = sql.DeleteQuery(model).delete_batch(
[instance.pk], self.using
)
setattr(instance, model._meta.pk.attname, None)
return count, {model._meta.label: count}
with transaction.atomic(using=self.using, savepoint=False):
# send pre_delete signals
for model, obj in self.instances_with_model():
if not model._meta.auto_created:
signals.pre_delete.send(
sender=model,
instance=obj,
using=self.using,
origin=self.origin,
)
# fast deletes
for qs in self.fast_deletes:
count = qs._raw_delete(using=self.using)
if count:
deleted_counter[qs.model._meta.label] += count
# update fields
for (field, value), instances_list in self.field_updates.items():
updates = []
objs = []
for instances in instances_list:
if (
isinstance(instances, models.QuerySet)
and instances._result_cache is None
):
updates.append(instances)
else:
objs.extend(instances)
if updates:
combined_updates = reduce(or_, updates)
combined_updates.update(**{field.name: value})
if objs:
model = objs[0].__class__
query = sql.UpdateQuery(model)
query.update_batch(
list({obj.pk for obj in objs}), {field.name: value}, self.using
)
# reverse instance collections
for instances in self.data.values():
instances.reverse()
# delete instances
for model, instances in self.data.items():
query = sql.DeleteQuery(model)
pk_list = [obj.pk for obj in instances]
count = query.delete_batch(pk_list, self.using)
if count:
deleted_counter[model._meta.label] += count
if not model._meta.auto_created:
for obj in instances:
signals.post_delete.send(
sender=model,
instance=obj,
using=self.using,
origin=self.origin,
)
for model, instances in self.data.items():
for instance in instances:
setattr(instance, model._meta.pk.attname, None)
return sum(deleted_counter.values()), dict(deleted_counter)

92
srcs/.venv/lib/python3.11/site-packages/django/db/models/enums.py Normal file
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import enum
from types import DynamicClassAttribute
from django.utils.functional import Promise
__all__ = ["Choices", "IntegerChoices", "TextChoices"]
class ChoicesMeta(enum.EnumMeta):
"""A metaclass for creating a enum choices."""
def __new__(metacls, classname, bases, classdict, **kwds):
labels = []
for key in classdict._member_names:
value = classdict[key]
if (
isinstance(value, (list, tuple))
and len(value) > 1
and isinstance(value[-1], (Promise, str))
):
*value, label = value
value = tuple(value)
else:
label = key.replace("_", " ").title()
labels.append(label)
# Use dict.__setitem__() to suppress defenses against double
# assignment in enum's classdict.
dict.__setitem__(classdict, key, value)
cls = super().__new__(metacls, classname, bases, classdict, **kwds)
for member, label in zip(cls.__members__.values(), labels):
member._label_ = label
return enum.unique(cls)
def __contains__(cls, member):
if not isinstance(member, enum.Enum):
# Allow non-enums to match against member values.
return any(x.value == member for x in cls)
return super().__contains__(member)
@property
def names(cls):
empty = ["__empty__"] if hasattr(cls, "__empty__") else []
return empty + [member.name for member in cls]
@property
def choices(cls):
empty = [(None, cls.__empty__)] if hasattr(cls, "__empty__") else []
return empty + [(member.value, member.label) for member in cls]
@property
def labels(cls):
return [label for _, label in cls.choices]
@property
def values(cls):
return [value for value, _ in cls.choices]
class Choices(enum.Enum, metaclass=ChoicesMeta):
"""Class for creating enumerated choices."""
@DynamicClassAttribute
def label(self):
return self._label_
@property
def do_not_call_in_templates(self):
return True
def __str__(self):
"""
Use value when cast to str, so that Choices set as model instance
attributes are rendered as expected in templates and similar contexts.
"""
return str(self.value)
# A similar format was proposed for Python 3.10.
def __repr__(self):
return f"{self.__class__.__qualname__}.{self._name_}"
class IntegerChoices(int, Choices):
"""Class for creating enumerated integer choices."""
pass
class TextChoices(str, Choices):
"""Class for creating enumerated string choices."""
def _generate_next_value_(name, start, count, last_values):
return name

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import datetime
import posixpath
from django import forms
from django.core import checks
from django.core.files.base import File
from django.core.files.images import ImageFile
from django.core.files.storage import Storage, default_storage
from django.core.files.utils import validate_file_name
from django.db.models import signals
from django.db.models.fields import Field
from django.db.models.query_utils import DeferredAttribute
from django.db.models.utils import AltersData
from django.utils.translation import gettext_lazy as _
class FieldFile(File, AltersData):
def __init__(self, instance, field, name):
super().__init__(None, name)
self.instance = instance
self.field = field
self.storage = field.storage
self._committed = True
def __eq__(self, other):
# Older code may be expecting FileField values to be simple strings.
# By overriding the == operator, it can remain backwards compatibility.
if hasattr(other, "name"):
return self.name == other.name
return self.name == other
def __hash__(self):
return hash(self.name)
# The standard File contains most of the necessary properties, but
# FieldFiles can be instantiated without a name, so that needs to
# be checked for here.
def _require_file(self):
if not self:
raise ValueError(
"The '%s' attribute has no file associated with it." % self.field.name
)
def _get_file(self):
self._require_file()
if getattr(self, "_file", None) is None:
self._file = self.storage.open(self.name, "rb")
return self._file
def _set_file(self, file):
self._file = file
def _del_file(self):
del self._file
file = property(_get_file, _set_file, _del_file)
@property
def path(self):
self._require_file()
return self.storage.path(self.name)
@property
def url(self):
self._require_file()
return self.storage.url(self.name)
@property
def size(self):
self._require_file()
if not self._committed:
return self.file.size
return self.storage.size(self.name)
def open(self, mode="rb"):
self._require_file()
if getattr(self, "_file", None) is None:
self.file = self.storage.open(self.name, mode)
else:
self.file.open(mode)
return self
# open() doesn't alter the file's contents, but it does reset the pointer
open.alters_data = True
# In addition to the standard File API, FieldFiles have extra methods
# to further manipulate the underlying file, as well as update the
# associated model instance.
def save(self, name, content, save=True):
name = self.field.generate_filename(self.instance, name)
self.name = self.storage.save(name, content, max_length=self.field.max_length)
setattr(self.instance, self.field.attname, self.name)
self._committed = True
# Save the object because it has changed, unless save is False
if save:
self.instance.save()
save.alters_data = True
def delete(self, save=True):
if not self:
return
# Only close the file if it's already open, which we know by the
# presence of self._file
if hasattr(self, "_file"):
self.close()
del self.file
self.storage.delete(self.name)
self.name = None
setattr(self.instance, self.field.attname, self.name)
self._committed = False
if save:
self.instance.save()
delete.alters_data = True
@property
def closed(self):
file = getattr(self, "_file", None)
return file is None or file.closed
def close(self):
file = getattr(self, "_file", None)
if file is not None:
file.close()
def __getstate__(self):
# FieldFile needs access to its associated model field, an instance and
# the file's name. Everything else will be restored later, by
# FileDescriptor below.
return {
"name": self.name,
"closed": False,
"_committed": True,
"_file": None,
"instance": self.instance,
"field": self.field,
}
def __setstate__(self, state):
self.__dict__.update(state)
self.storage = self.field.storage
class FileDescriptor(DeferredAttribute):
"""
The descriptor for the file attribute on the model instance. Return a
FieldFile when accessed so you can write code like::
>>> from myapp.models import MyModel
>>> instance = MyModel.objects.get(pk=1)
>>> instance.file.size
Assign a file object on assignment so you can do::
>>> with open('/path/to/hello.world') as f:
... instance.file = File(f)
"""
def __get__(self, instance, cls=None):
if instance is None:
return self
# This is slightly complicated, so worth an explanation.
# instance.file needs to ultimately return some instance of `File`,
# probably a subclass. Additionally, this returned object needs to have
# the FieldFile API so that users can easily do things like
# instance.file.path and have that delegated to the file storage engine.
# Easy enough if we're strict about assignment in __set__, but if you
# peek below you can see that we're not. So depending on the current
# value of the field we have to dynamically construct some sort of
# "thing" to return.
# The instance dict contains whatever was originally assigned
# in __set__.
file = super().__get__(instance, cls)
# If this value is a string (instance.file = "path/to/file") or None
# then we simply wrap it with the appropriate attribute class according
# to the file field. [This is FieldFile for FileFields and
# ImageFieldFile for ImageFields; it's also conceivable that user
# subclasses might also want to subclass the attribute class]. This
# object understands how to convert a path to a file, and also how to
# handle None.
if isinstance(file, str) or file is None:
attr = self.field.attr_class(instance, self.field, file)
instance.__dict__[self.field.attname] = attr
# Other types of files may be assigned as well, but they need to have
# the FieldFile interface added to them. Thus, we wrap any other type of
# File inside a FieldFile (well, the field's attr_class, which is
# usually FieldFile).
elif isinstance(file, File) and not isinstance(file, FieldFile):
file_copy = self.field.attr_class(instance, self.field, file.name)
file_copy.file = file
file_copy._committed = False
instance.__dict__[self.field.attname] = file_copy
# Finally, because of the (some would say boneheaded) way pickle works,
# the underlying FieldFile might not actually itself have an associated
# file. So we need to reset the details of the FieldFile in those cases.
elif isinstance(file, FieldFile) and not hasattr(file, "field"):
file.instance = instance
file.field = self.field
file.storage = self.field.storage
# Make sure that the instance is correct.
elif isinstance(file, FieldFile) and instance is not file.instance:
file.instance = instance
# That was fun, wasn't it?
return instance.__dict__[self.field.attname]
def __set__(self, instance, value):
instance.__dict__[self.field.attname] = value
class FileField(Field):
# The class to wrap instance attributes in. Accessing the file object off
# the instance will always return an instance of attr_class.
attr_class = FieldFile
# The descriptor to use for accessing the attribute off of the class.
descriptor_class = FileDescriptor
description = _("File")
def __init__(
self, verbose_name=None, name=None, upload_to="", storage=None, **kwargs
):
self._primary_key_set_explicitly = "primary_key" in kwargs
self.storage = storage or default_storage
if callable(self.storage):
# Hold a reference to the callable for deconstruct().
self._storage_callable = self.storage
self.storage = self.storage()
if not isinstance(self.storage, Storage):
raise TypeError(
"%s.storage must be a subclass/instance of %s.%s"
% (
self.__class__.__qualname__,
Storage.__module__,
Storage.__qualname__,
)
)
self.upload_to = upload_to
kwargs.setdefault("max_length", 100)
super().__init__(verbose_name, name, **kwargs)
def check(self, **kwargs):
return [
*super().check(**kwargs),
*self._check_primary_key(),
*self._check_upload_to(),
]
def _check_primary_key(self):
if self._primary_key_set_explicitly:
return [
checks.Error(
"'primary_key' is not a valid argument for a %s."
% self.__class__.__name__,
obj=self,
id="fields.E201",
)
]
else:
return []
def _check_upload_to(self):
if isinstance(self.upload_to, str) and self.upload_to.startswith("/"):
return [
checks.Error(
"%s's 'upload_to' argument must be a relative path, not an "
"absolute path." % self.__class__.__name__,
obj=self,
id="fields.E202",
hint="Remove the leading slash.",
)
]
else:
return []
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
if kwargs.get("max_length") == 100:
del kwargs["max_length"]
kwargs["upload_to"] = self.upload_to
storage = getattr(self, "_storage_callable", self.storage)
if storage is not default_storage:
kwargs["storage"] = storage
return name, path, args, kwargs
def get_internal_type(self):
return "FileField"
def get_prep_value(self, value):
value = super().get_prep_value(value)
# Need to convert File objects provided via a form to string for
# database insertion.
if value is None:
return None
return str(value)
def pre_save(self, model_instance, add):
file = super().pre_save(model_instance, add)
if file and not file._committed:
# Commit the file to storage prior to saving the model
file.save(file.name, file.file, save=False)
return file
def contribute_to_class(self, cls, name, **kwargs):
super().contribute_to_class(cls, name, **kwargs)
setattr(cls, self.attname, self.descriptor_class(self))
def generate_filename(self, instance, filename):
"""
Apply (if callable) or prepend (if a string) upload_to to the filename,
then delegate further processing of the name to the storage backend.
Until the storage layer, all file paths are expected to be Unix style
(with forward slashes).
"""
if callable(self.upload_to):
filename = self.upload_to(instance, filename)
else:
dirname = datetime.datetime.now().strftime(str(self.upload_to))
filename = posixpath.join(dirname, filename)
filename = validate_file_name(filename, allow_relative_path=True)
return self.storage.generate_filename(filename)
def save_form_data(self, instance, data):
# Important: None means "no change", other false value means "clear"
# This subtle distinction (rather than a more explicit marker) is
# needed because we need to consume values that are also sane for a
# regular (non Model-) Form to find in its cleaned_data dictionary.
if data is not None:
# This value will be converted to str and stored in the
# database, so leaving False as-is is not acceptable.
setattr(instance, self.name, data or "")
def formfield(self, **kwargs):
return super().formfield(
**{
"form_class": forms.FileField,
"max_length": self.max_length,
**kwargs,
}
)
class ImageFileDescriptor(FileDescriptor):
"""
Just like the FileDescriptor, but for ImageFields. The only difference is
assigning the width/height to the width_field/height_field, if appropriate.
"""
def __set__(self, instance, value):
previous_file = instance.__dict__.get(self.field.attname)
super().__set__(instance, value)
# To prevent recalculating image dimensions when we are instantiating
# an object from the database (bug #11084), only update dimensions if
# the field had a value before this assignment. Since the default
# value for FileField subclasses is an instance of field.attr_class,
# previous_file will only be None when we are called from
# Model.__init__(). The ImageField.update_dimension_fields method
# hooked up to the post_init signal handles the Model.__init__() cases.
# Assignment happening outside of Model.__init__() will trigger the
# update right here.
if previous_file is not None:
self.field.update_dimension_fields(instance, force=True)
class ImageFieldFile(ImageFile, FieldFile):
def delete(self, save=True):
# Clear the image dimensions cache
if hasattr(self, "_dimensions_cache"):
del self._dimensions_cache
super().delete(save)
class ImageField(FileField):
attr_class = ImageFieldFile
descriptor_class = ImageFileDescriptor
description = _("Image")
def __init__(
self,
verbose_name=None,
name=None,
width_field=None,
height_field=None,
**kwargs,
):
self.width_field, self.height_field = width_field, height_field
super().__init__(verbose_name, name, **kwargs)
def check(self, **kwargs):
return [
*super().check(**kwargs),
*self._check_image_library_installed(),
]
def _check_image_library_installed(self):
try:
from PIL import Image # NOQA
except ImportError:
return [
checks.Error(
"Cannot use ImageField because Pillow is not installed.",
hint=(
"Get Pillow at https://pypi.org/project/Pillow/ "
'or run command "python -m pip install Pillow".'
),
obj=self,
id="fields.E210",
)
]
else:
return []
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
if self.width_field:
kwargs["width_field"] = self.width_field
if self.height_field:
kwargs["height_field"] = self.height_field
return name, path, args, kwargs
def contribute_to_class(self, cls, name, **kwargs):
super().contribute_to_class(cls, name, **kwargs)
# Attach update_dimension_fields so that dimension fields declared
# after their corresponding image field don't stay cleared by
# Model.__init__, see bug #11196.
# Only run post-initialization dimension update on non-abstract models
if not cls._meta.abstract:
signals.post_init.connect(self.update_dimension_fields, sender=cls)
def update_dimension_fields(self, instance, force=False, *args, **kwargs):
"""
Update field's width and height fields, if defined.
This method is hooked up to model's post_init signal to update
dimensions after instantiating a model instance. However, dimensions
won't be updated if the dimensions fields are already populated. This
avoids unnecessary recalculation when loading an object from the
database.
Dimensions can be forced to update with force=True, which is how
ImageFileDescriptor.__set__ calls this method.
"""
# Nothing to update if the field doesn't have dimension fields or if
# the field is deferred.
has_dimension_fields = self.width_field or self.height_field
if not has_dimension_fields or self.attname not in instance.__dict__:
return
# getattr will call the ImageFileDescriptor's __get__ method, which
# coerces the assigned value into an instance of self.attr_class
# (ImageFieldFile in this case).
file = getattr(instance, self.attname)
# Nothing to update if we have no file and not being forced to update.
if not file and not force:
return
dimension_fields_filled = not (
(self.width_field and not getattr(instance, self.width_field))
or (self.height_field and not getattr(instance, self.height_field))
)
# When both dimension fields have values, we are most likely loading
# data from the database or updating an image field that already had
# an image stored. In the first case, we don't want to update the
# dimension fields because we are already getting their values from the
# database. In the second case, we do want to update the dimensions
# fields and will skip this return because force will be True since we
# were called from ImageFileDescriptor.__set__.
if dimension_fields_filled and not force:
return
# file should be an instance of ImageFieldFile or should be None.
if file:
width = file.width
height = file.height
else:
# No file, so clear dimensions fields.
width = None
height = None
# Update the width and height fields.
if self.width_field:
setattr(instance, self.width_field, width)
if self.height_field:
setattr(instance, self.height_field, height)
def formfield(self, **kwargs):
return super().formfield(
**{
"form_class": forms.ImageField,
**kwargs,
}
)

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import json
import warnings
from django import forms
from django.core import checks, exceptions
from django.db import NotSupportedError, connections, router
from django.db.models import expressions, lookups
from django.db.models.constants import LOOKUP_SEP
from django.db.models.fields import TextField
from django.db.models.lookups import (
FieldGetDbPrepValueMixin,
PostgresOperatorLookup,
Transform,
)
from django.utils.deprecation import RemovedInDjango51Warning
from django.utils.translation import gettext_lazy as _
from . import Field
from .mixins import CheckFieldDefaultMixin
__all__ = ["JSONField"]
class JSONField(CheckFieldDefaultMixin, Field):
empty_strings_allowed = False
description = _("A JSON object")
default_error_messages = {
"invalid": _("Value must be valid JSON."),
}
_default_hint = ("dict", "{}")
def __init__(
self,
verbose_name=None,
name=None,
encoder=None,
decoder=None,
**kwargs,
):
if encoder and not callable(encoder):
raise ValueError("The encoder parameter must be a callable object.")
if decoder and not callable(decoder):
raise ValueError("The decoder parameter must be a callable object.")
self.encoder = encoder
self.decoder = decoder
super().__init__(verbose_name, name, **kwargs)
def check(self, **kwargs):
errors = super().check(**kwargs)
databases = kwargs.get("databases") or []
errors.extend(self._check_supported(databases))
return errors
def _check_supported(self, databases):
errors = []
for db in databases:
if not router.allow_migrate_model(db, self.model):
continue
connection = connections[db]
if (
self.model._meta.required_db_vendor
and self.model._meta.required_db_vendor != connection.vendor
):
continue
if not (
"supports_json_field" in self.model._meta.required_db_features
or connection.features.supports_json_field
):
errors.append(
checks.Error(
"%s does not support JSONFields." % connection.display_name,
obj=self.model,
id="fields.E180",
)
)
return errors
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
if self.encoder is not None:
kwargs["encoder"] = self.encoder
if self.decoder is not None:
kwargs["decoder"] = self.decoder
return name, path, args, kwargs
def from_db_value(self, value, expression, connection):
if value is None:
return value
# Some backends (SQLite at least) extract non-string values in their
# SQL datatypes.
if isinstance(expression, KeyTransform) and not isinstance(value, str):
return value
try:
return json.loads(value, cls=self.decoder)
except json.JSONDecodeError:
return value
def get_internal_type(self):
return "JSONField"
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
# RemovedInDjango51Warning: When the deprecation ends, replace with:
# if (
# isinstance(value, expressions.Value)
# and isinstance(value.output_field, JSONField)
# ):
# value = value.value
# elif hasattr(value, "as_sql"): ...
if isinstance(value, expressions.Value):
if isinstance(value.value, str) and not isinstance(
value.output_field, JSONField
):
try:
value = json.loads(value.value, cls=self.decoder)
except json.JSONDecodeError:
value = value.value
else:
warnings.warn(
"Providing an encoded JSON string via Value() is deprecated. "
f"Use Value({value!r}, output_field=JSONField()) instead.",
category=RemovedInDjango51Warning,
)
elif isinstance(value.output_field, JSONField):
value = value.value
else:
return value
elif hasattr(value, "as_sql"):
return value
return connection.ops.adapt_json_value(value, self.encoder)
def get_db_prep_save(self, value, connection):
if value is None:
return value
return self.get_db_prep_value(value, connection)
def get_transform(self, name):
transform = super().get_transform(name)
if transform:
return transform
return KeyTransformFactory(name)
def validate(self, value, model_instance):
super().validate(value, model_instance)
try:
json.dumps(value, cls=self.encoder)
except TypeError:
raise exceptions.ValidationError(
self.error_messages["invalid"],
code="invalid",
params={"value": value},
)
def value_to_string(self, obj):
return self.value_from_object(obj)
def formfield(self, **kwargs):
return super().formfield(
**{
"form_class": forms.JSONField,
"encoder": self.encoder,
"decoder": self.decoder,
**kwargs,
}
)
def compile_json_path(key_transforms, include_root=True):
path = ["$"] if include_root else []
for key_transform in key_transforms:
try:
num = int(key_transform)
except ValueError: # non-integer
path.append(".")
path.append(json.dumps(key_transform))
else:
path.append("[%s]" % num)
return "".join(path)
class DataContains(FieldGetDbPrepValueMixin, PostgresOperatorLookup):
lookup_name = "contains"
postgres_operator = "@>"
def as_sql(self, compiler, connection):
if not connection.features.supports_json_field_contains:
raise NotSupportedError(
"contains lookup is not supported on this database backend."
)
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = tuple(lhs_params) + tuple(rhs_params)
return "JSON_CONTAINS(%s, %s)" % (lhs, rhs), params
class ContainedBy(FieldGetDbPrepValueMixin, PostgresOperatorLookup):
lookup_name = "contained_by"
postgres_operator = "<@"
def as_sql(self, compiler, connection):
if not connection.features.supports_json_field_contains:
raise NotSupportedError(
"contained_by lookup is not supported on this database backend."
)
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = tuple(rhs_params) + tuple(lhs_params)
return "JSON_CONTAINS(%s, %s)" % (rhs, lhs), params
class HasKeyLookup(PostgresOperatorLookup):
logical_operator = None
def compile_json_path_final_key(self, key_transform):
# Compile the final key without interpreting ints as array elements.
return ".%s" % json.dumps(key_transform)
def as_sql(self, compiler, connection, template=None):
# Process JSON path from the left-hand side.
if isinstance(self.lhs, KeyTransform):
lhs, lhs_params, lhs_key_transforms = self.lhs.preprocess_lhs(
compiler, connection
)
lhs_json_path = compile_json_path(lhs_key_transforms)
else:
lhs, lhs_params = self.process_lhs(compiler, connection)
lhs_json_path = "$"
sql = template % lhs
# Process JSON path from the right-hand side.
rhs = self.rhs
rhs_params = []
if not isinstance(rhs, (list, tuple)):
rhs = [rhs]
for key in rhs:
if isinstance(key, KeyTransform):
*_, rhs_key_transforms = key.preprocess_lhs(compiler, connection)
else:
rhs_key_transforms = [key]
*rhs_key_transforms, final_key = rhs_key_transforms
rhs_json_path = compile_json_path(rhs_key_transforms, include_root=False)
rhs_json_path += self.compile_json_path_final_key(final_key)
rhs_params.append(lhs_json_path + rhs_json_path)
# Add condition for each key.
if self.logical_operator:
sql = "(%s)" % self.logical_operator.join([sql] * len(rhs_params))
return sql, tuple(lhs_params) + tuple(rhs_params)
def as_mysql(self, compiler, connection):
return self.as_sql(
compiler, connection, template="JSON_CONTAINS_PATH(%s, 'one', %%s)"
)
def as_oracle(self, compiler, connection):
sql, params = self.as_sql(
compiler, connection, template="JSON_EXISTS(%s, '%%s')"
)
# Add paths directly into SQL because path expressions cannot be passed
# as bind variables on Oracle.
return sql % tuple(params), []
def as_postgresql(self, compiler, connection):
if isinstance(self.rhs, KeyTransform):
*_, rhs_key_transforms = self.rhs.preprocess_lhs(compiler, connection)
for key in rhs_key_transforms[:-1]:
self.lhs = KeyTransform(key, self.lhs)
self.rhs = rhs_key_transforms[-1]
return super().as_postgresql(compiler, connection)
def as_sqlite(self, compiler, connection):
return self.as_sql(
compiler, connection, template="JSON_TYPE(%s, %%s) IS NOT NULL"
)
class HasKey(HasKeyLookup):
lookup_name = "has_key"
postgres_operator = "?"
prepare_rhs = False
class HasKeys(HasKeyLookup):
lookup_name = "has_keys"
postgres_operator = "?&"
logical_operator = " AND "
def get_prep_lookup(self):
return [str(item) for item in self.rhs]
class HasAnyKeys(HasKeys):
lookup_name = "has_any_keys"
postgres_operator = "?|"
logical_operator = " OR "
class HasKeyOrArrayIndex(HasKey):
def compile_json_path_final_key(self, key_transform):
return compile_json_path([key_transform], include_root=False)
class CaseInsensitiveMixin:
"""
Mixin to allow case-insensitive comparison of JSON values on MySQL.
MySQL handles strings used in JSON context using the utf8mb4_bin collation.
Because utf8mb4_bin is a binary collation, comparison of JSON values is
case-sensitive.
"""
def process_lhs(self, compiler, connection):
lhs, lhs_params = super().process_lhs(compiler, connection)
if connection.vendor == "mysql":
return "LOWER(%s)" % lhs, lhs_params
return lhs, lhs_params
def process_rhs(self, compiler, connection):
rhs, rhs_params = super().process_rhs(compiler, connection)
if connection.vendor == "mysql":
return "LOWER(%s)" % rhs, rhs_params
return rhs, rhs_params
class JSONExact(lookups.Exact):
can_use_none_as_rhs = True
def process_rhs(self, compiler, connection):
rhs, rhs_params = super().process_rhs(compiler, connection)
# Treat None lookup values as null.
if rhs == "%s" and rhs_params == [None]:
rhs_params = ["null"]
if connection.vendor == "mysql":
func = ["JSON_EXTRACT(%s, '$')"] * len(rhs_params)
rhs %= tuple(func)
return rhs, rhs_params
class JSONIContains(CaseInsensitiveMixin, lookups.IContains):
pass
JSONField.register_lookup(DataContains)
JSONField.register_lookup(ContainedBy)
JSONField.register_lookup(HasKey)
JSONField.register_lookup(HasKeys)
JSONField.register_lookup(HasAnyKeys)
JSONField.register_lookup(JSONExact)
JSONField.register_lookup(JSONIContains)
class KeyTransform(Transform):
postgres_operator = "->"
postgres_nested_operator = "#>"
def __init__(self, key_name, *args, **kwargs):
super().__init__(*args, **kwargs)
self.key_name = str(key_name)
def preprocess_lhs(self, compiler, connection):
key_transforms = [self.key_name]
previous = self.lhs
while isinstance(previous, KeyTransform):
key_transforms.insert(0, previous.key_name)
previous = previous.lhs
lhs, params = compiler.compile(previous)
if connection.vendor == "oracle":
# Escape string-formatting.
key_transforms = [key.replace("%", "%%") for key in key_transforms]
return lhs, params, key_transforms
def as_mysql(self, compiler, connection):
lhs, params, key_transforms = self.preprocess_lhs(compiler, connection)
json_path = compile_json_path(key_transforms)
return "JSON_EXTRACT(%s, %%s)" % lhs, tuple(params) + (json_path,)
def as_oracle(self, compiler, connection):
lhs, params, key_transforms = self.preprocess_lhs(compiler, connection)
json_path = compile_json_path(key_transforms)
return (
"COALESCE(JSON_QUERY(%s, '%s'), JSON_VALUE(%s, '%s'))"
% ((lhs, json_path) * 2)
), tuple(params) * 2
def as_postgresql(self, compiler, connection):
lhs, params, key_transforms = self.preprocess_lhs(compiler, connection)
if len(key_transforms) > 1:
sql = "(%s %s %%s)" % (lhs, self.postgres_nested_operator)
return sql, tuple(params) + (key_transforms,)
try:
lookup = int(self.key_name)
except ValueError:
lookup = self.key_name
return "(%s %s %%s)" % (lhs, self.postgres_operator), tuple(params) + (lookup,)
def as_sqlite(self, compiler, connection):
lhs, params, key_transforms = self.preprocess_lhs(compiler, connection)
json_path = compile_json_path(key_transforms)
datatype_values = ",".join(
[repr(datatype) for datatype in connection.ops.jsonfield_datatype_values]
)
return (
"(CASE WHEN JSON_TYPE(%s, %%s) IN (%s) "
"THEN JSON_TYPE(%s, %%s) ELSE JSON_EXTRACT(%s, %%s) END)"
) % (lhs, datatype_values, lhs, lhs), (tuple(params) + (json_path,)) * 3
class KeyTextTransform(KeyTransform):
postgres_operator = "->>"
postgres_nested_operator = "#>>"
output_field = TextField()
def as_mysql(self, compiler, connection):
if connection.mysql_is_mariadb:
# MariaDB doesn't support -> and ->> operators (see MDEV-13594).
sql, params = super().as_mysql(compiler, connection)
return "JSON_UNQUOTE(%s)" % sql, params
else:
lhs, params, key_transforms = self.preprocess_lhs(compiler, connection)
json_path = compile_json_path(key_transforms)
return "(%s ->> %%s)" % lhs, tuple(params) + (json_path,)
@classmethod
def from_lookup(cls, lookup):
transform, *keys = lookup.split(LOOKUP_SEP)
if not keys:
raise ValueError("Lookup must contain key or index transforms.")
for key in keys:
transform = cls(key, transform)
return transform
KT = KeyTextTransform.from_lookup
class KeyTransformTextLookupMixin:
"""
Mixin for combining with a lookup expecting a text lhs from a JSONField
key lookup. On PostgreSQL, make use of the ->> operator instead of casting
key values to text and performing the lookup on the resulting
representation.
"""
def __init__(self, key_transform, *args, **kwargs):
if not isinstance(key_transform, KeyTransform):
raise TypeError(
"Transform should be an instance of KeyTransform in order to "
"use this lookup."
)
key_text_transform = KeyTextTransform(
key_transform.key_name,
*key_transform.source_expressions,
**key_transform.extra,
)
super().__init__(key_text_transform, *args, **kwargs)
class KeyTransformIsNull(lookups.IsNull):
# key__isnull=False is the same as has_key='key'
def as_oracle(self, compiler, connection):
sql, params = HasKeyOrArrayIndex(
self.lhs.lhs,
self.lhs.key_name,
).as_oracle(compiler, connection)
if not self.rhs:
return sql, params
# Column doesn't have a key or IS NULL.
lhs, lhs_params, _ = self.lhs.preprocess_lhs(compiler, connection)
return "(NOT %s OR %s IS NULL)" % (sql, lhs), tuple(params) + tuple(lhs_params)
def as_sqlite(self, compiler, connection):
template = "JSON_TYPE(%s, %%s) IS NULL"
if not self.rhs:
template = "JSON_TYPE(%s, %%s) IS NOT NULL"
return HasKeyOrArrayIndex(self.lhs.lhs, self.lhs.key_name).as_sql(
compiler,
connection,
template=template,
)
class KeyTransformIn(lookups.In):
def resolve_expression_parameter(self, compiler, connection, sql, param):
sql, params = super().resolve_expression_parameter(
compiler,
connection,
sql,
param,
)
if (
not hasattr(param, "as_sql")
and not connection.features.has_native_json_field
):
if connection.vendor == "oracle":
value = json.loads(param)
sql = "%s(JSON_OBJECT('value' VALUE %%s FORMAT JSON), '$.value')"
if isinstance(value, (list, dict)):
sql %= "JSON_QUERY"
else:
sql %= "JSON_VALUE"
elif connection.vendor == "mysql" or (
connection.vendor == "sqlite"
and params[0] not in connection.ops.jsonfield_datatype_values
):
sql = "JSON_EXTRACT(%s, '$')"
if connection.vendor == "mysql" and connection.mysql_is_mariadb:
sql = "JSON_UNQUOTE(%s)" % sql
return sql, params
class KeyTransformExact(JSONExact):
def process_rhs(self, compiler, connection):
if isinstance(self.rhs, KeyTransform):
return super(lookups.Exact, self).process_rhs(compiler, connection)
rhs, rhs_params = super().process_rhs(compiler, connection)
if connection.vendor == "oracle":
func = []
sql = "%s(JSON_OBJECT('value' VALUE %%s FORMAT JSON), '$.value')"
for value in rhs_params:
value = json.loads(value)
if isinstance(value, (list, dict)):
func.append(sql % "JSON_QUERY")
else:
func.append(sql % "JSON_VALUE")
rhs %= tuple(func)
elif connection.vendor == "sqlite":
func = []
for value in rhs_params:
if value in connection.ops.jsonfield_datatype_values:
func.append("%s")
else:
func.append("JSON_EXTRACT(%s, '$')")
rhs %= tuple(func)
return rhs, rhs_params
def as_oracle(self, compiler, connection):
rhs, rhs_params = super().process_rhs(compiler, connection)
if rhs_params == ["null"]:
# Field has key and it's NULL.
has_key_expr = HasKeyOrArrayIndex(self.lhs.lhs, self.lhs.key_name)
has_key_sql, has_key_params = has_key_expr.as_oracle(compiler, connection)
is_null_expr = self.lhs.get_lookup("isnull")(self.lhs, True)
is_null_sql, is_null_params = is_null_expr.as_sql(compiler, connection)
return (
"%s AND %s" % (has_key_sql, is_null_sql),
tuple(has_key_params) + tuple(is_null_params),
)
return super().as_sql(compiler, connection)
class KeyTransformIExact(
CaseInsensitiveMixin, KeyTransformTextLookupMixin, lookups.IExact
):
pass
class KeyTransformIContains(
CaseInsensitiveMixin, KeyTransformTextLookupMixin, lookups.IContains
):
pass
class KeyTransformStartsWith(KeyTransformTextLookupMixin, lookups.StartsWith):
pass
class KeyTransformIStartsWith(
CaseInsensitiveMixin, KeyTransformTextLookupMixin, lookups.IStartsWith
):
pass
class KeyTransformEndsWith(KeyTransformTextLookupMixin, lookups.EndsWith):
pass
class KeyTransformIEndsWith(
CaseInsensitiveMixin, KeyTransformTextLookupMixin, lookups.IEndsWith
):
pass
class KeyTransformRegex(KeyTransformTextLookupMixin, lookups.Regex):
pass
class KeyTransformIRegex(
CaseInsensitiveMixin, KeyTransformTextLookupMixin, lookups.IRegex
):
pass
class KeyTransformNumericLookupMixin:
def process_rhs(self, compiler, connection):
rhs, rhs_params = super().process_rhs(compiler, connection)
if not connection.features.has_native_json_field:
rhs_params = [json.loads(value) for value in rhs_params]
return rhs, rhs_params
class KeyTransformLt(KeyTransformNumericLookupMixin, lookups.LessThan):
pass
class KeyTransformLte(KeyTransformNumericLookupMixin, lookups.LessThanOrEqual):
pass
class KeyTransformGt(KeyTransformNumericLookupMixin, lookups.GreaterThan):
pass
class KeyTransformGte(KeyTransformNumericLookupMixin, lookups.GreaterThanOrEqual):
pass
KeyTransform.register_lookup(KeyTransformIn)
KeyTransform.register_lookup(KeyTransformExact)
KeyTransform.register_lookup(KeyTransformIExact)
KeyTransform.register_lookup(KeyTransformIsNull)
KeyTransform.register_lookup(KeyTransformIContains)
KeyTransform.register_lookup(KeyTransformStartsWith)
KeyTransform.register_lookup(KeyTransformIStartsWith)
KeyTransform.register_lookup(KeyTransformEndsWith)
KeyTransform.register_lookup(KeyTransformIEndsWith)
KeyTransform.register_lookup(KeyTransformRegex)
KeyTransform.register_lookup(KeyTransformIRegex)
KeyTransform.register_lookup(KeyTransformLt)
KeyTransform.register_lookup(KeyTransformLte)
KeyTransform.register_lookup(KeyTransformGt)
KeyTransform.register_lookup(KeyTransformGte)
class KeyTransformFactory:
def __init__(self, key_name):
self.key_name = key_name
def __call__(self, *args, **kwargs):
return KeyTransform(self.key_name, *args, **kwargs)

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from django.core import checks
NOT_PROVIDED = object()
class FieldCacheMixin:
"""Provide an API for working with the model's fields value cache."""
def get_cache_name(self):
raise NotImplementedError
def get_cached_value(self, instance, default=NOT_PROVIDED):
cache_name = self.get_cache_name()
try:
return instance._state.fields_cache[cache_name]
except KeyError:
if default is NOT_PROVIDED:
raise
return default
def is_cached(self, instance):
return self.get_cache_name() in instance._state.fields_cache
def set_cached_value(self, instance, value):
instance._state.fields_cache[self.get_cache_name()] = value
def delete_cached_value(self, instance):
del instance._state.fields_cache[self.get_cache_name()]
class CheckFieldDefaultMixin:
_default_hint = ("<valid default>", "<invalid default>")
def _check_default(self):
if (
self.has_default()
and self.default is not None
and not callable(self.default)
):
return [
checks.Warning(
"%s default should be a callable instead of an instance "
"so that it's not shared between all field instances."
% (self.__class__.__name__,),
hint=(
"Use a callable instead, e.g., use `%s` instead of "
"`%s`." % self._default_hint
),
obj=self,
id="fields.E010",
)
]
else:
return []
def check(self, **kwargs):
errors = super().check(**kwargs)
errors.extend(self._check_default())
return errors

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"""
Field-like classes that aren't really fields. It's easier to use objects that
have the same attributes as fields sometimes (avoids a lot of special casing).
"""
from django.db.models import fields
class OrderWrt(fields.IntegerField):
"""
A proxy for the _order database field that is used when
Meta.order_with_respect_to is specified.
"""
def __init__(self, *args, **kwargs):
kwargs["name"] = "_order"
kwargs["editable"] = False
super().__init__(*args, **kwargs)

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import warnings
from django.db.models.lookups import (
Exact,
GreaterThan,
GreaterThanOrEqual,
In,
IsNull,
LessThan,
LessThanOrEqual,
)
from django.utils.deprecation import RemovedInDjango50Warning
class MultiColSource:
contains_aggregate = False
contains_over_clause = False
def __init__(self, alias, targets, sources, field):
self.targets, self.sources, self.field, self.alias = (
targets,
sources,
field,
alias,
)
self.output_field = self.field
def __repr__(self):
return "{}({}, {})".format(self.__class__.__name__, self.alias, self.field)
def relabeled_clone(self, relabels):
return self.__class__(
relabels.get(self.alias, self.alias), self.targets, self.sources, self.field
)
def get_lookup(self, lookup):
return self.output_field.get_lookup(lookup)
def resolve_expression(self, *args, **kwargs):
return self
def get_normalized_value(value, lhs):
from django.db.models import Model
if isinstance(value, Model):
if value.pk is None:
# When the deprecation ends, replace with:
# raise ValueError(
# "Model instances passed to related filters must be saved."
# )
warnings.warn(
"Passing unsaved model instances to related filters is deprecated.",
RemovedInDjango50Warning,
)
value_list = []
sources = lhs.output_field.path_infos[-1].target_fields
for source in sources:
while not isinstance(value, source.model) and source.remote_field:
source = source.remote_field.model._meta.get_field(
source.remote_field.field_name
)
try:
value_list.append(getattr(value, source.attname))
except AttributeError:
# A case like Restaurant.objects.filter(place=restaurant_instance),
# where place is a OneToOneField and the primary key of Restaurant.
return (value.pk,)
return tuple(value_list)
if not isinstance(value, tuple):
return (value,)
return value
class RelatedIn(In):
def get_prep_lookup(self):
if not isinstance(self.lhs, MultiColSource):
if self.rhs_is_direct_value():
# If we get here, we are dealing with single-column relations.
self.rhs = [get_normalized_value(val, self.lhs)[0] for val in self.rhs]
# We need to run the related field's get_prep_value(). Consider
# case ForeignKey to IntegerField given value 'abc'. The
# ForeignKey itself doesn't have validation for non-integers,
# so we must run validation using the target field.
if hasattr(self.lhs.output_field, "path_infos"):
# Run the target field's get_prep_value. We can safely
# assume there is only one as we don't get to the direct
# value branch otherwise.
target_field = self.lhs.output_field.path_infos[-1].target_fields[
-1
]
self.rhs = [target_field.get_prep_value(v) for v in self.rhs]
elif not getattr(self.rhs, "has_select_fields", True) and not getattr(
self.lhs.field.target_field, "primary_key", False
):
if (
getattr(self.lhs.output_field, "primary_key", False)
and self.lhs.output_field.model == self.rhs.model
):
# A case like
# Restaurant.objects.filter(place__in=restaurant_qs), where
# place is a OneToOneField and the primary key of
# Restaurant.
target_field = self.lhs.field.name
else:
target_field = self.lhs.field.target_field.name
self.rhs.set_values([target_field])
return super().get_prep_lookup()
def as_sql(self, compiler, connection):
if isinstance(self.lhs, MultiColSource):
# For multicolumn lookups we need to build a multicolumn where clause.
# This clause is either a SubqueryConstraint (for values that need
# to be compiled to SQL) or an OR-combined list of
# (col1 = val1 AND col2 = val2 AND ...) clauses.
from django.db.models.sql.where import (
AND,
OR,
SubqueryConstraint,
WhereNode,
)
root_constraint = WhereNode(connector=OR)
if self.rhs_is_direct_value():
values = [get_normalized_value(value, self.lhs) for value in self.rhs]
for value in values:
value_constraint = WhereNode()
for source, target, val in zip(
self.lhs.sources, self.lhs.targets, value
):
lookup_class = target.get_lookup("exact")
lookup = lookup_class(
target.get_col(self.lhs.alias, source), val
)
value_constraint.add(lookup, AND)
root_constraint.add(value_constraint, OR)
else:
root_constraint.add(
SubqueryConstraint(
self.lhs.alias,
[target.column for target in self.lhs.targets],
[source.name for source in self.lhs.sources],
self.rhs,
),
AND,
)
return root_constraint.as_sql(compiler, connection)
return super().as_sql(compiler, connection)
class RelatedLookupMixin:
def get_prep_lookup(self):
if not isinstance(self.lhs, MultiColSource) and not hasattr(
self.rhs, "resolve_expression"
):
# If we get here, we are dealing with single-column relations.
self.rhs = get_normalized_value(self.rhs, self.lhs)[0]
# We need to run the related field's get_prep_value(). Consider case
# ForeignKey to IntegerField given value 'abc'. The ForeignKey itself
# doesn't have validation for non-integers, so we must run validation
# using the target field.
if self.prepare_rhs and hasattr(self.lhs.output_field, "path_infos"):
# Get the target field. We can safely assume there is only one
# as we don't get to the direct value branch otherwise.
target_field = self.lhs.output_field.path_infos[-1].target_fields[-1]
self.rhs = target_field.get_prep_value(self.rhs)
return super().get_prep_lookup()
def as_sql(self, compiler, connection):
if isinstance(self.lhs, MultiColSource):
assert self.rhs_is_direct_value()
self.rhs = get_normalized_value(self.rhs, self.lhs)
from django.db.models.sql.where import AND, WhereNode
root_constraint = WhereNode()
for target, source, val in zip(
self.lhs.targets, self.lhs.sources, self.rhs
):
lookup_class = target.get_lookup(self.lookup_name)
root_constraint.add(
lookup_class(target.get_col(self.lhs.alias, source), val), AND
)
return root_constraint.as_sql(compiler, connection)
return super().as_sql(compiler, connection)
class RelatedExact(RelatedLookupMixin, Exact):
pass
class RelatedLessThan(RelatedLookupMixin, LessThan):
pass
class RelatedGreaterThan(RelatedLookupMixin, GreaterThan):
pass
class RelatedGreaterThanOrEqual(RelatedLookupMixin, GreaterThanOrEqual):
pass
class RelatedLessThanOrEqual(RelatedLookupMixin, LessThanOrEqual):
pass
class RelatedIsNull(RelatedLookupMixin, IsNull):
pass

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"""
"Rel objects" for related fields.
"Rel objects" (for lack of a better name) carry information about the relation
modeled by a related field and provide some utility functions. They're stored
in the ``remote_field`` attribute of the field.
They also act as reverse fields for the purposes of the Meta API because
they're the closest concept currently available.
"""
from django.core import exceptions
from django.utils.functional import cached_property
from django.utils.hashable import make_hashable
from . import BLANK_CHOICE_DASH
from .mixins import FieldCacheMixin
class ForeignObjectRel(FieldCacheMixin):
"""
Used by ForeignObject to store information about the relation.
``_meta.get_fields()`` returns this class to provide access to the field
flags for the reverse relation.
"""
# Field flags
auto_created = True
concrete = False
editable = False
is_relation = True
# Reverse relations are always nullable (Django can't enforce that a
# foreign key on the related model points to this model).
null = True
empty_strings_allowed = False
def __init__(
self,
field,
to,
related_name=None,
related_query_name=None,
limit_choices_to=None,
parent_link=False,
on_delete=None,
):
self.field = field
self.model = to
self.related_name = related_name
self.related_query_name = related_query_name
self.limit_choices_to = {} if limit_choices_to is None else limit_choices_to
self.parent_link = parent_link
self.on_delete = on_delete
self.symmetrical = False
self.multiple = True
# Some of the following cached_properties can't be initialized in
# __init__ as the field doesn't have its model yet. Calling these methods
# before field.contribute_to_class() has been called will result in
# AttributeError
@cached_property
def hidden(self):
return self.is_hidden()
@cached_property
def name(self):
return self.field.related_query_name()
@property
def remote_field(self):
return self.field
@property
def target_field(self):
"""
When filtering against this relation, return the field on the remote
model against which the filtering should happen.
"""
target_fields = self.path_infos[-1].target_fields
if len(target_fields) > 1:
raise exceptions.FieldError(
"Can't use target_field for multicolumn relations."
)
return target_fields[0]
@cached_property
def related_model(self):
if not self.field.model:
raise AttributeError(
"This property can't be accessed before self.field.contribute_to_class "
"has been called."
)
return self.field.model
@cached_property
def many_to_many(self):
return self.field.many_to_many
@cached_property
def many_to_one(self):
return self.field.one_to_many
@cached_property
def one_to_many(self):
return self.field.many_to_one
@cached_property
def one_to_one(self):
return self.field.one_to_one
def get_lookup(self, lookup_name):
return self.field.get_lookup(lookup_name)
def get_lookups(self):
return self.field.get_lookups()
def get_transform(self, name):
return self.field.get_transform(name)
def get_internal_type(self):
return self.field.get_internal_type()
@property
def db_type(self):
return self.field.db_type
def __repr__(self):
return "<%s: %s.%s>" % (
type(self).__name__,
self.related_model._meta.app_label,
self.related_model._meta.model_name,
)
@property
def identity(self):
return (
self.field,
self.model,
self.related_name,
self.related_query_name,
make_hashable(self.limit_choices_to),
self.parent_link,
self.on_delete,
self.symmetrical,
self.multiple,
)
def __eq__(self, other):
if not isinstance(other, self.__class__):
return NotImplemented
return self.identity == other.identity
def __hash__(self):
return hash(self.identity)
def __getstate__(self):
state = self.__dict__.copy()
# Delete the path_infos cached property because it can be recalculated
# at first invocation after deserialization. The attribute must be
# removed because subclasses like ManyToOneRel may have a PathInfo
# which contains an intermediate M2M table that's been dynamically
# created and doesn't exist in the .models module.
# This is a reverse relation, so there is no reverse_path_infos to
# delete.
state.pop("path_infos", None)
return state
def get_choices(
self,
include_blank=True,
blank_choice=BLANK_CHOICE_DASH,
limit_choices_to=None,
ordering=(),
):
"""
Return choices with a default blank choices included, for use
as <select> choices for this field.
Analog of django.db.models.fields.Field.get_choices(), provided
initially for utilization by RelatedFieldListFilter.
"""
limit_choices_to = limit_choices_to or self.limit_choices_to
qs = self.related_model._default_manager.complex_filter(limit_choices_to)
if ordering:
qs = qs.order_by(*ordering)
return (blank_choice if include_blank else []) + [(x.pk, str(x)) for x in qs]
def is_hidden(self):
"""Should the related object be hidden?"""
return bool(self.related_name) and self.related_name[-1] == "+"
def get_joining_columns(self):
return self.field.get_reverse_joining_columns()
def get_extra_restriction(self, alias, related_alias):
return self.field.get_extra_restriction(related_alias, alias)
def set_field_name(self):
"""
Set the related field's name, this is not available until later stages
of app loading, so set_field_name is called from
set_attributes_from_rel()
"""
# By default foreign object doesn't relate to any remote field (for
# example custom multicolumn joins currently have no remote field).
self.field_name = None
def get_accessor_name(self, model=None):
# This method encapsulates the logic that decides what name to give an
# accessor descriptor that retrieves related many-to-one or
# many-to-many objects. It uses the lowercased object_name + "_set",
# but this can be overridden with the "related_name" option. Due to
# backwards compatibility ModelForms need to be able to provide an
# alternate model. See BaseInlineFormSet.get_default_prefix().
opts = model._meta if model else self.related_model._meta
model = model or self.related_model
if self.multiple:
# If this is a symmetrical m2m relation on self, there is no
# reverse accessor.
if self.symmetrical and model == self.model:
return None
if self.related_name:
return self.related_name
return opts.model_name + ("_set" if self.multiple else "")
def get_path_info(self, filtered_relation=None):
if filtered_relation:
return self.field.get_reverse_path_info(filtered_relation)
else:
return self.field.reverse_path_infos
@cached_property
def path_infos(self):
return self.get_path_info()
def get_cache_name(self):
"""
Return the name of the cache key to use for storing an instance of the
forward model on the reverse model.
"""
return self.get_accessor_name()
class ManyToOneRel(ForeignObjectRel):
"""
Used by the ForeignKey field to store information about the relation.
``_meta.get_fields()`` returns this class to provide access to the field
flags for the reverse relation.
Note: Because we somewhat abuse the Rel objects by using them as reverse
fields we get the funny situation where
``ManyToOneRel.many_to_one == False`` and
``ManyToOneRel.one_to_many == True``. This is unfortunate but the actual
ManyToOneRel class is a private API and there is work underway to turn
reverse relations into actual fields.
"""
def __init__(
self,
field,
to,
field_name,
related_name=None,
related_query_name=None,
limit_choices_to=None,
parent_link=False,
on_delete=None,
):
super().__init__(
field,
to,
related_name=related_name,
related_query_name=related_query_name,
limit_choices_to=limit_choices_to,
parent_link=parent_link,
on_delete=on_delete,
)
self.field_name = field_name
def __getstate__(self):
state = super().__getstate__()
state.pop("related_model", None)
return state
@property
def identity(self):
return super().identity + (self.field_name,)
def get_related_field(self):
"""
Return the Field in the 'to' object to which this relationship is tied.
"""
field = self.model._meta.get_field(self.field_name)
if not field.concrete:
raise exceptions.FieldDoesNotExist(
"No related field named '%s'" % self.field_name
)
return field
def set_field_name(self):
self.field_name = self.field_name or self.model._meta.pk.name
class OneToOneRel(ManyToOneRel):
"""
Used by OneToOneField to store information about the relation.
``_meta.get_fields()`` returns this class to provide access to the field
flags for the reverse relation.
"""
def __init__(
self,
field,
to,
field_name,
related_name=None,
related_query_name=None,
limit_choices_to=None,
parent_link=False,
on_delete=None,
):
super().__init__(
field,
to,
field_name,
related_name=related_name,
related_query_name=related_query_name,
limit_choices_to=limit_choices_to,
parent_link=parent_link,
on_delete=on_delete,
)
self.multiple = False
class ManyToManyRel(ForeignObjectRel):
"""
Used by ManyToManyField to store information about the relation.
``_meta.get_fields()`` returns this class to provide access to the field
flags for the reverse relation.
"""
def __init__(
self,
field,
to,
related_name=None,
related_query_name=None,
limit_choices_to=None,
symmetrical=True,
through=None,
through_fields=None,
db_constraint=True,
):
super().__init__(
field,
to,
related_name=related_name,
related_query_name=related_query_name,
limit_choices_to=limit_choices_to,
)
if through and not db_constraint:
raise ValueError("Can't supply a through model and db_constraint=False")
self.through = through
if through_fields and not through:
raise ValueError("Cannot specify through_fields without a through model")
self.through_fields = through_fields
self.symmetrical = symmetrical
self.db_constraint = db_constraint
@property
def identity(self):
return super().identity + (
self.through,
make_hashable(self.through_fields),
self.db_constraint,
)
def get_related_field(self):
"""
Return the field in the 'to' object to which this relationship is tied.
Provided for symmetry with ManyToOneRel.
"""
opts = self.through._meta
if self.through_fields:
field = opts.get_field(self.through_fields[0])
else:
for field in opts.fields:
rel = getattr(field, "remote_field", None)
if rel and rel.model == self.model:
break
return field.foreign_related_fields[0]

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from .comparison import Cast, Coalesce, Collate, Greatest, JSONObject, Least, NullIf
from .datetime import (
Extract,
ExtractDay,
ExtractHour,
ExtractIsoWeekDay,
ExtractIsoYear,
ExtractMinute,
ExtractMonth,
ExtractQuarter,
ExtractSecond,
ExtractWeek,
ExtractWeekDay,
ExtractYear,
Now,
Trunc,
TruncDate,
TruncDay,
TruncHour,
TruncMinute,
TruncMonth,
TruncQuarter,
TruncSecond,
TruncTime,
TruncWeek,
TruncYear,
)
from .math import (
Abs,
ACos,
ASin,
ATan,
ATan2,
Ceil,
Cos,
Cot,
Degrees,
Exp,
Floor,
Ln,
Log,
Mod,
Pi,
Power,
Radians,
Random,
Round,
Sign,
Sin,
Sqrt,
Tan,
)
from .text import (
MD5,
SHA1,
SHA224,
SHA256,
SHA384,
SHA512,
Chr,
Concat,
ConcatPair,
Left,
Length,
Lower,
LPad,
LTrim,
Ord,
Repeat,
Replace,
Reverse,
Right,
RPad,
RTrim,
StrIndex,
Substr,
Trim,
Upper,
)
from .window import (
CumeDist,
DenseRank,
FirstValue,
Lag,
LastValue,
Lead,
NthValue,
Ntile,
PercentRank,
Rank,
RowNumber,
)
__all__ = [
# comparison and conversion
"Cast",
"Coalesce",
"Collate",
"Greatest",
"JSONObject",
"Least",
"NullIf",
# datetime
"Extract",
"ExtractDay",
"ExtractHour",
"ExtractMinute",
"ExtractMonth",
"ExtractQuarter",
"ExtractSecond",
"ExtractWeek",
"ExtractIsoWeekDay",
"ExtractWeekDay",
"ExtractIsoYear",
"ExtractYear",
"Now",
"Trunc",
"TruncDate",
"TruncDay",
"TruncHour",
"TruncMinute",
"TruncMonth",
"TruncQuarter",
"TruncSecond",
"TruncTime",
"TruncWeek",
"TruncYear",
# math
"Abs",
"ACos",
"ASin",
"ATan",
"ATan2",
"Ceil",
"Cos",
"Cot",
"Degrees",
"Exp",
"Floor",
"Ln",
"Log",
"Mod",
"Pi",
"Power",
"Radians",
"Random",
"Round",
"Sign",
"Sin",
"Sqrt",
"Tan",
# text
"MD5",
"SHA1",
"SHA224",
"SHA256",
"SHA384",
"SHA512",
"Chr",
"Concat",
"ConcatPair",
"Left",
"Length",
"Lower",
"LPad",
"LTrim",
"Ord",
"Repeat",
"Replace",
"Reverse",
"Right",
"RPad",
"RTrim",
"StrIndex",
"Substr",
"Trim",
"Upper",
# window
"CumeDist",
"DenseRank",
"FirstValue",
"Lag",
"LastValue",
"Lead",
"NthValue",
"Ntile",
"PercentRank",
"Rank",
"RowNumber",
]

220
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"""Database functions that do comparisons or type conversions."""
from django.db import NotSupportedError
from django.db.models.expressions import Func, Value
from django.db.models.fields import TextField
from django.db.models.fields.json import JSONField
from django.utils.regex_helper import _lazy_re_compile
class Cast(Func):
"""Coerce an expression to a new field type."""
function = "CAST"
template = "%(function)s(%(expressions)s AS %(db_type)s)"
def __init__(self, expression, output_field):
super().__init__(expression, output_field=output_field)
def as_sql(self, compiler, connection, **extra_context):
extra_context["db_type"] = self.output_field.cast_db_type(connection)
return super().as_sql(compiler, connection, **extra_context)
def as_sqlite(self, compiler, connection, **extra_context):
db_type = self.output_field.db_type(connection)
if db_type in {"datetime", "time"}:
# Use strftime as datetime/time don't keep fractional seconds.
template = "strftime(%%s, %(expressions)s)"
sql, params = super().as_sql(
compiler, connection, template=template, **extra_context
)
format_string = "%H:%M:%f" if db_type == "time" else "%Y-%m-%d %H:%M:%f"
params.insert(0, format_string)
return sql, params
elif db_type == "date":
template = "date(%(expressions)s)"
return super().as_sql(
compiler, connection, template=template, **extra_context
)
return self.as_sql(compiler, connection, **extra_context)
def as_mysql(self, compiler, connection, **extra_context):
template = None
output_type = self.output_field.get_internal_type()
# MySQL doesn't support explicit cast to float.
if output_type == "FloatField":
template = "(%(expressions)s + 0.0)"
# MariaDB doesn't support explicit cast to JSON.
elif output_type == "JSONField" and connection.mysql_is_mariadb:
template = "JSON_EXTRACT(%(expressions)s, '$')"
return self.as_sql(compiler, connection, template=template, **extra_context)
def as_postgresql(self, compiler, connection, **extra_context):
# CAST would be valid too, but the :: shortcut syntax is more readable.
# 'expressions' is wrapped in parentheses in case it's a complex
# expression.
return self.as_sql(
compiler,
connection,
template="(%(expressions)s)::%(db_type)s",
**extra_context,
)
def as_oracle(self, compiler, connection, **extra_context):
if self.output_field.get_internal_type() == "JSONField":
# Oracle doesn't support explicit cast to JSON.
template = "JSON_QUERY(%(expressions)s, '$')"
return super().as_sql(
compiler, connection, template=template, **extra_context
)
return self.as_sql(compiler, connection, **extra_context)
class Coalesce(Func):
"""Return, from left to right, the first non-null expression."""
function = "COALESCE"
def __init__(self, *expressions, **extra):
if len(expressions) < 2:
raise ValueError("Coalesce must take at least two expressions")
super().__init__(*expressions, **extra)
@property
def empty_result_set_value(self):
for expression in self.get_source_expressions():
result = expression.empty_result_set_value
if result is NotImplemented or result is not None:
return result
return None
def as_oracle(self, compiler, connection, **extra_context):
# Oracle prohibits mixing TextField (NCLOB) and CharField (NVARCHAR2),
# so convert all fields to NCLOB when that type is expected.
if self.output_field.get_internal_type() == "TextField":
clone = self.copy()
clone.set_source_expressions(
[
Func(expression, function="TO_NCLOB")
for expression in self.get_source_expressions()
]
)
return super(Coalesce, clone).as_sql(compiler, connection, **extra_context)
return self.as_sql(compiler, connection, **extra_context)
class Collate(Func):
function = "COLLATE"
template = "%(expressions)s %(function)s %(collation)s"
# Inspired from
# https://www.postgresql.org/docs/current/sql-syntax-lexical.html#SQL-SYNTAX-IDENTIFIERS
collation_re = _lazy_re_compile(r"^[\w\-]+$")
def __init__(self, expression, collation):
if not (collation and self.collation_re.match(collation)):
raise ValueError("Invalid collation name: %r." % collation)
self.collation = collation
super().__init__(expression)
def as_sql(self, compiler, connection, **extra_context):
extra_context.setdefault("collation", connection.ops.quote_name(self.collation))
return super().as_sql(compiler, connection, **extra_context)
class Greatest(Func):
"""
Return the maximum expression.
If any expression is null the return value is database-specific:
On PostgreSQL, the maximum not-null expression is returned.
On MySQL, Oracle, and SQLite, if any expression is null, null is returned.
"""
function = "GREATEST"
def __init__(self, *expressions, **extra):
if len(expressions) < 2:
raise ValueError("Greatest must take at least two expressions")
super().__init__(*expressions, **extra)
def as_sqlite(self, compiler, connection, **extra_context):
"""Use the MAX function on SQLite."""
return super().as_sqlite(compiler, connection, function="MAX", **extra_context)
class JSONObject(Func):
function = "JSON_OBJECT"
output_field = JSONField()
def __init__(self, **fields):
expressions = []
for key, value in fields.items():
expressions.extend((Value(key), value))
super().__init__(*expressions)
def as_sql(self, compiler, connection, **extra_context):
if not connection.features.has_json_object_function:
raise NotSupportedError(
"JSONObject() is not supported on this database backend."
)
return super().as_sql(compiler, connection, **extra_context)
def as_postgresql(self, compiler, connection, **extra_context):
copy = self.copy()
copy.set_source_expressions(
[
Cast(expression, TextField()) if index % 2 == 0 else expression
for index, expression in enumerate(copy.get_source_expressions())
]
)
return super(JSONObject, copy).as_sql(
compiler,
connection,
function="JSONB_BUILD_OBJECT",
**extra_context,
)
def as_oracle(self, compiler, connection, **extra_context):
class ArgJoiner:
def join(self, args):
args = [" VALUE ".join(arg) for arg in zip(args[::2], args[1::2])]
return ", ".join(args)
return self.as_sql(
compiler,
connection,
arg_joiner=ArgJoiner(),
template="%(function)s(%(expressions)s RETURNING CLOB)",
**extra_context,
)
class Least(Func):
"""
Return the minimum expression.
If any expression is null the return value is database-specific:
On PostgreSQL, return the minimum not-null expression.
On MySQL, Oracle, and SQLite, if any expression is null, return null.
"""
function = "LEAST"
def __init__(self, *expressions, **extra):
if len(expressions) < 2:
raise ValueError("Least must take at least two expressions")
super().__init__(*expressions, **extra)
def as_sqlite(self, compiler, connection, **extra_context):
"""Use the MIN function on SQLite."""
return super().as_sqlite(compiler, connection, function="MIN", **extra_context)
class NullIf(Func):
function = "NULLIF"
arity = 2
def as_oracle(self, compiler, connection, **extra_context):
expression1 = self.get_source_expressions()[0]
if isinstance(expression1, Value) and expression1.value is None:
raise ValueError("Oracle does not allow Value(None) for expression1.")
return super().as_sql(compiler, connection, **extra_context)

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from datetime import datetime
from django.conf import settings
from django.db.models.expressions import Func
from django.db.models.fields import (
DateField,
DateTimeField,
DurationField,
Field,
IntegerField,
TimeField,
)
from django.db.models.lookups import (
Transform,
YearExact,
YearGt,
YearGte,
YearLt,
YearLte,
)
from django.utils import timezone
class TimezoneMixin:
tzinfo = None
def get_tzname(self):
# Timezone conversions must happen to the input datetime *before*
# applying a function. 2015-12-31 23:00:00 -02:00 is stored in the
# database as 2016-01-01 01:00:00 +00:00. Any results should be
# based on the input datetime not the stored datetime.
tzname = None
if settings.USE_TZ:
if self.tzinfo is None:
tzname = timezone.get_current_timezone_name()
else:
tzname = timezone._get_timezone_name(self.tzinfo)
return tzname
class Extract(TimezoneMixin, Transform):
lookup_name = None
output_field = IntegerField()
def __init__(self, expression, lookup_name=None, tzinfo=None, **extra):
if self.lookup_name is None:
self.lookup_name = lookup_name
if self.lookup_name is None:
raise ValueError("lookup_name must be provided")
self.tzinfo = tzinfo
super().__init__(expression, **extra)
def as_sql(self, compiler, connection):
sql, params = compiler.compile(self.lhs)
lhs_output_field = self.lhs.output_field
if isinstance(lhs_output_field, DateTimeField):
tzname = self.get_tzname()
sql, params = connection.ops.datetime_extract_sql(
self.lookup_name, sql, tuple(params), tzname
)
elif self.tzinfo is not None:
raise ValueError("tzinfo can only be used with DateTimeField.")
elif isinstance(lhs_output_field, DateField):
sql, params = connection.ops.date_extract_sql(
self.lookup_name, sql, tuple(params)
)
elif isinstance(lhs_output_field, TimeField):
sql, params = connection.ops.time_extract_sql(
self.lookup_name, sql, tuple(params)
)
elif isinstance(lhs_output_field, DurationField):
if not connection.features.has_native_duration_field:
raise ValueError(
"Extract requires native DurationField database support."
)
sql, params = connection.ops.time_extract_sql(
self.lookup_name, sql, tuple(params)
)
else:
# resolve_expression has already validated the output_field so this
# assert should never be hit.
assert False, "Tried to Extract from an invalid type."
return sql, params
def resolve_expression(
self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
):
copy = super().resolve_expression(
query, allow_joins, reuse, summarize, for_save
)
field = getattr(copy.lhs, "output_field", None)
if field is None:
return copy
if not isinstance(field, (DateField, DateTimeField, TimeField, DurationField)):
raise ValueError(
"Extract input expression must be DateField, DateTimeField, "
"TimeField, or DurationField."
)
# Passing dates to functions expecting datetimes is most likely a mistake.
if type(field) is DateField and copy.lookup_name in (
"hour",
"minute",
"second",
):
raise ValueError(
"Cannot extract time component '%s' from DateField '%s'."
% (copy.lookup_name, field.name)
)
if isinstance(field, DurationField) and copy.lookup_name in (
"year",
"iso_year",
"month",
"week",
"week_day",
"iso_week_day",
"quarter",
):
raise ValueError(
"Cannot extract component '%s' from DurationField '%s'."
% (copy.lookup_name, field.name)
)
return copy
class ExtractYear(Extract):
lookup_name = "year"
class ExtractIsoYear(Extract):
"""Return the ISO-8601 week-numbering year."""
lookup_name = "iso_year"
class ExtractMonth(Extract):
lookup_name = "month"
class ExtractDay(Extract):
lookup_name = "day"
class ExtractWeek(Extract):
"""
Return 1-52 or 53, based on ISO-8601, i.e., Monday is the first of the
week.
"""
lookup_name = "week"
class ExtractWeekDay(Extract):
"""
Return Sunday=1 through Saturday=7.
To replicate this in Python: (mydatetime.isoweekday() % 7) + 1
"""
lookup_name = "week_day"
class ExtractIsoWeekDay(Extract):
"""Return Monday=1 through Sunday=7, based on ISO-8601."""
lookup_name = "iso_week_day"
class ExtractQuarter(Extract):
lookup_name = "quarter"
class ExtractHour(Extract):
lookup_name = "hour"
class ExtractMinute(Extract):
lookup_name = "minute"
class ExtractSecond(Extract):
lookup_name = "second"
DateField.register_lookup(ExtractYear)
DateField.register_lookup(ExtractMonth)
DateField.register_lookup(ExtractDay)
DateField.register_lookup(ExtractWeekDay)
DateField.register_lookup(ExtractIsoWeekDay)
DateField.register_lookup(ExtractWeek)
DateField.register_lookup(ExtractIsoYear)
DateField.register_lookup(ExtractQuarter)
TimeField.register_lookup(ExtractHour)
TimeField.register_lookup(ExtractMinute)
TimeField.register_lookup(ExtractSecond)
DateTimeField.register_lookup(ExtractHour)
DateTimeField.register_lookup(ExtractMinute)
DateTimeField.register_lookup(ExtractSecond)
ExtractYear.register_lookup(YearExact)
ExtractYear.register_lookup(YearGt)
ExtractYear.register_lookup(YearGte)
ExtractYear.register_lookup(YearLt)
ExtractYear.register_lookup(YearLte)
ExtractIsoYear.register_lookup(YearExact)
ExtractIsoYear.register_lookup(YearGt)
ExtractIsoYear.register_lookup(YearGte)
ExtractIsoYear.register_lookup(YearLt)
ExtractIsoYear.register_lookup(YearLte)
class Now(Func):
template = "CURRENT_TIMESTAMP"
output_field = DateTimeField()
def as_postgresql(self, compiler, connection, **extra_context):
# PostgreSQL's CURRENT_TIMESTAMP means "the time at the start of the
# transaction". Use STATEMENT_TIMESTAMP to be cross-compatible with
# other databases.
return self.as_sql(
compiler, connection, template="STATEMENT_TIMESTAMP()", **extra_context
)
def as_mysql(self, compiler, connection, **extra_context):
return self.as_sql(
compiler, connection, template="CURRENT_TIMESTAMP(6)", **extra_context
)
def as_sqlite(self, compiler, connection, **extra_context):
return self.as_sql(
compiler,
connection,
template="STRFTIME('%%%%Y-%%%%m-%%%%d %%%%H:%%%%M:%%%%f', 'NOW')",
**extra_context,
)
class TruncBase(TimezoneMixin, Transform):
kind = None
tzinfo = None
# RemovedInDjango50Warning: when the deprecation ends, remove is_dst
# argument.
def __init__(
self,
expression,
output_field=None,
tzinfo=None,
is_dst=timezone.NOT_PASSED,
**extra,
):
self.tzinfo = tzinfo
self.is_dst = is_dst
super().__init__(expression, output_field=output_field, **extra)
def as_sql(self, compiler, connection):
sql, params = compiler.compile(self.lhs)
tzname = None
if isinstance(self.lhs.output_field, DateTimeField):
tzname = self.get_tzname()
elif self.tzinfo is not None:
raise ValueError("tzinfo can only be used with DateTimeField.")
if isinstance(self.output_field, DateTimeField):
sql, params = connection.ops.datetime_trunc_sql(
self.kind, sql, tuple(params), tzname
)
elif isinstance(self.output_field, DateField):
sql, params = connection.ops.date_trunc_sql(
self.kind, sql, tuple(params), tzname
)
elif isinstance(self.output_field, TimeField):
sql, params = connection.ops.time_trunc_sql(
self.kind, sql, tuple(params), tzname
)
else:
raise ValueError(
"Trunc only valid on DateField, TimeField, or DateTimeField."
)
return sql, params
def resolve_expression(
self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
):
copy = super().resolve_expression(
query, allow_joins, reuse, summarize, for_save
)
field = copy.lhs.output_field
# DateTimeField is a subclass of DateField so this works for both.
if not isinstance(field, (DateField, TimeField)):
raise TypeError(
"%r isn't a DateField, TimeField, or DateTimeField." % field.name
)
# If self.output_field was None, then accessing the field will trigger
# the resolver to assign it to self.lhs.output_field.
if not isinstance(copy.output_field, (DateField, DateTimeField, TimeField)):
raise ValueError(
"output_field must be either DateField, TimeField, or DateTimeField"
)
# Passing dates or times to functions expecting datetimes is most
# likely a mistake.
class_output_field = (
self.__class__.output_field
if isinstance(self.__class__.output_field, Field)
else None
)
output_field = class_output_field or copy.output_field
has_explicit_output_field = (
class_output_field or field.__class__ is not copy.output_field.__class__
)
if type(field) is DateField and (
isinstance(output_field, DateTimeField)
or copy.kind in ("hour", "minute", "second", "time")
):
raise ValueError(
"Cannot truncate DateField '%s' to %s."
% (
field.name,
output_field.__class__.__name__
if has_explicit_output_field
else "DateTimeField",
)
)
elif isinstance(field, TimeField) and (
isinstance(output_field, DateTimeField)
or copy.kind in ("year", "quarter", "month", "week", "day", "date")
):
raise ValueError(
"Cannot truncate TimeField '%s' to %s."
% (
field.name,
output_field.__class__.__name__
if has_explicit_output_field
else "DateTimeField",
)
)
return copy
def convert_value(self, value, expression, connection):
if isinstance(self.output_field, DateTimeField):
if not settings.USE_TZ:
pass
elif value is not None:
value = value.replace(tzinfo=None)
value = timezone.make_aware(value, self.tzinfo, is_dst=self.is_dst)
elif not connection.features.has_zoneinfo_database:
raise ValueError(
"Database returned an invalid datetime value. Are time "
"zone definitions for your database installed?"
)
elif isinstance(value, datetime):
if value is None:
pass
elif isinstance(self.output_field, DateField):
value = value.date()
elif isinstance(self.output_field, TimeField):
value = value.time()
return value
class Trunc(TruncBase):
# RemovedInDjango50Warning: when the deprecation ends, remove is_dst
# argument.
def __init__(
self,
expression,
kind,
output_field=None,
tzinfo=None,
is_dst=timezone.NOT_PASSED,
**extra,
):
self.kind = kind
super().__init__(
expression, output_field=output_field, tzinfo=tzinfo, is_dst=is_dst, **extra
)
class TruncYear(TruncBase):
kind = "year"
class TruncQuarter(TruncBase):
kind = "quarter"
class TruncMonth(TruncBase):
kind = "month"
class TruncWeek(TruncBase):
"""Truncate to midnight on the Monday of the week."""
kind = "week"
class TruncDay(TruncBase):
kind = "day"
class TruncDate(TruncBase):
kind = "date"
lookup_name = "date"
output_field = DateField()
def as_sql(self, compiler, connection):
# Cast to date rather than truncate to date.
sql, params = compiler.compile(self.lhs)
tzname = self.get_tzname()
return connection.ops.datetime_cast_date_sql(sql, tuple(params), tzname)
class TruncTime(TruncBase):
kind = "time"
lookup_name = "time"
output_field = TimeField()
def as_sql(self, compiler, connection):
# Cast to time rather than truncate to time.
sql, params = compiler.compile(self.lhs)
tzname = self.get_tzname()
return connection.ops.datetime_cast_time_sql(sql, tuple(params), tzname)
class TruncHour(TruncBase):
kind = "hour"
class TruncMinute(TruncBase):
kind = "minute"
class TruncSecond(TruncBase):
kind = "second"
DateTimeField.register_lookup(TruncDate)
DateTimeField.register_lookup(TruncTime)

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import math
from django.db.models.expressions import Func, Value
from django.db.models.fields import FloatField, IntegerField
from django.db.models.functions import Cast
from django.db.models.functions.mixins import (
FixDecimalInputMixin,
NumericOutputFieldMixin,
)
from django.db.models.lookups import Transform
class Abs(Transform):
function = "ABS"
lookup_name = "abs"
class ACos(NumericOutputFieldMixin, Transform):
function = "ACOS"
lookup_name = "acos"
class ASin(NumericOutputFieldMixin, Transform):
function = "ASIN"
lookup_name = "asin"
class ATan(NumericOutputFieldMixin, Transform):
function = "ATAN"
lookup_name = "atan"
class ATan2(NumericOutputFieldMixin, Func):
function = "ATAN2"
arity = 2
def as_sqlite(self, compiler, connection, **extra_context):
if not getattr(
connection.ops, "spatialite", False
) or connection.ops.spatial_version >= (5, 0, 0):
return self.as_sql(compiler, connection)
# This function is usually ATan2(y, x), returning the inverse tangent
# of y / x, but it's ATan2(x, y) on SpatiaLite < 5.0.0.
# Cast integers to float to avoid inconsistent/buggy behavior if the
# arguments are mixed between integer and float or decimal.
# https://www.gaia-gis.it/fossil/libspatialite/tktview?name=0f72cca3a2
clone = self.copy()
clone.set_source_expressions(
[
Cast(expression, FloatField())
if isinstance(expression.output_field, IntegerField)
else expression
for expression in self.get_source_expressions()[::-1]
]
)
return clone.as_sql(compiler, connection, **extra_context)
class Ceil(Transform):
function = "CEILING"
lookup_name = "ceil"
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="CEIL", **extra_context)
class Cos(NumericOutputFieldMixin, Transform):
function = "COS"
lookup_name = "cos"
class Cot(NumericOutputFieldMixin, Transform):
function = "COT"
lookup_name = "cot"
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler, connection, template="(1 / TAN(%(expressions)s))", **extra_context
)
class Degrees(NumericOutputFieldMixin, Transform):
function = "DEGREES"
lookup_name = "degrees"
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template="((%%(expressions)s) * 180 / %s)" % math.pi,
**extra_context,
)
class Exp(NumericOutputFieldMixin, Transform):
function = "EXP"
lookup_name = "exp"
class Floor(Transform):
function = "FLOOR"
lookup_name = "floor"
class Ln(NumericOutputFieldMixin, Transform):
function = "LN"
lookup_name = "ln"
class Log(FixDecimalInputMixin, NumericOutputFieldMixin, Func):
function = "LOG"
arity = 2
def as_sqlite(self, compiler, connection, **extra_context):
if not getattr(connection.ops, "spatialite", False):
return self.as_sql(compiler, connection)
# This function is usually Log(b, x) returning the logarithm of x to
# the base b, but on SpatiaLite it's Log(x, b).
clone = self.copy()
clone.set_source_expressions(self.get_source_expressions()[::-1])
return clone.as_sql(compiler, connection, **extra_context)
class Mod(FixDecimalInputMixin, NumericOutputFieldMixin, Func):
function = "MOD"
arity = 2
class Pi(NumericOutputFieldMixin, Func):
function = "PI"
arity = 0
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler, connection, template=str(math.pi), **extra_context
)
class Power(NumericOutputFieldMixin, Func):
function = "POWER"
arity = 2
class Radians(NumericOutputFieldMixin, Transform):
function = "RADIANS"
lookup_name = "radians"
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template="((%%(expressions)s) * %s / 180)" % math.pi,
**extra_context,
)
class Random(NumericOutputFieldMixin, Func):
function = "RANDOM"
arity = 0
def as_mysql(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="RAND", **extra_context)
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler, connection, function="DBMS_RANDOM.VALUE", **extra_context
)
def as_sqlite(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="RAND", **extra_context)
def get_group_by_cols(self):
return []
class Round(FixDecimalInputMixin, Transform):
function = "ROUND"
lookup_name = "round"
arity = None # Override Transform's arity=1 to enable passing precision.
def __init__(self, expression, precision=0, **extra):
super().__init__(expression, precision, **extra)
def as_sqlite(self, compiler, connection, **extra_context):
precision = self.get_source_expressions()[1]
if isinstance(precision, Value) and precision.value < 0:
raise ValueError("SQLite does not support negative precision.")
return super().as_sqlite(compiler, connection, **extra_context)
def _resolve_output_field(self):
source = self.get_source_expressions()[0]
return source.output_field
class Sign(Transform):
function = "SIGN"
lookup_name = "sign"
class Sin(NumericOutputFieldMixin, Transform):
function = "SIN"
lookup_name = "sin"
class Sqrt(NumericOutputFieldMixin, Transform):
function = "SQRT"
lookup_name = "sqrt"
class Tan(NumericOutputFieldMixin, Transform):
function = "TAN"
lookup_name = "tan"

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import sys
from django.db.models.fields import DecimalField, FloatField, IntegerField
from django.db.models.functions import Cast
class FixDecimalInputMixin:
def as_postgresql(self, compiler, connection, **extra_context):
# Cast FloatField to DecimalField as PostgreSQL doesn't support the
# following function signatures:
# - LOG(double, double)
# - MOD(double, double)
output_field = DecimalField(decimal_places=sys.float_info.dig, max_digits=1000)
clone = self.copy()
clone.set_source_expressions(
[
Cast(expression, output_field)
if isinstance(expression.output_field, FloatField)
else expression
for expression in self.get_source_expressions()
]
)
return clone.as_sql(compiler, connection, **extra_context)
class FixDurationInputMixin:
def as_mysql(self, compiler, connection, **extra_context):
sql, params = super().as_sql(compiler, connection, **extra_context)
if self.output_field.get_internal_type() == "DurationField":
sql = "CAST(%s AS SIGNED)" % sql
return sql, params
def as_oracle(self, compiler, connection, **extra_context):
if self.output_field.get_internal_type() == "DurationField":
expression = self.get_source_expressions()[0]
options = self._get_repr_options()
from django.db.backends.oracle.functions import (
IntervalToSeconds,
SecondsToInterval,
)
return compiler.compile(
SecondsToInterval(
self.__class__(IntervalToSeconds(expression), **options)
)
)
return super().as_sql(compiler, connection, **extra_context)
class NumericOutputFieldMixin:
def _resolve_output_field(self):
source_fields = self.get_source_fields()
if any(isinstance(s, DecimalField) for s in source_fields):
return DecimalField()
if any(isinstance(s, IntegerField) for s in source_fields):
return FloatField()
return super()._resolve_output_field() if source_fields else FloatField()

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from django.db import NotSupportedError
from django.db.models.expressions import Func, Value
from django.db.models.fields import CharField, IntegerField, TextField
from django.db.models.functions import Cast, Coalesce
from django.db.models.lookups import Transform
class MySQLSHA2Mixin:
def as_mysql(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template="SHA2(%%(expressions)s, %s)" % self.function[3:],
**extra_context,
)
class OracleHashMixin:
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template=(
"LOWER(RAWTOHEX(STANDARD_HASH(UTL_I18N.STRING_TO_RAW("
"%(expressions)s, 'AL32UTF8'), '%(function)s')))"
),
**extra_context,
)
class PostgreSQLSHAMixin:
def as_postgresql(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template="ENCODE(DIGEST(%(expressions)s, '%(function)s'), 'hex')",
function=self.function.lower(),
**extra_context,
)
class Chr(Transform):
function = "CHR"
lookup_name = "chr"
def as_mysql(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
function="CHAR",
template="%(function)s(%(expressions)s USING utf16)",
**extra_context,
)
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(
compiler,
connection,
template="%(function)s(%(expressions)s USING NCHAR_CS)",
**extra_context,
)
def as_sqlite(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="CHAR", **extra_context)
class ConcatPair(Func):
"""
Concatenate two arguments together. This is used by `Concat` because not
all backend databases support more than two arguments.
"""
function = "CONCAT"
def as_sqlite(self, compiler, connection, **extra_context):
coalesced = self.coalesce()
return super(ConcatPair, coalesced).as_sql(
compiler,
connection,
template="%(expressions)s",
arg_joiner=" || ",
**extra_context,
)
def as_postgresql(self, compiler, connection, **extra_context):
copy = self.copy()
copy.set_source_expressions(
[
Cast(expression, TextField())
for expression in copy.get_source_expressions()
]
)
return super(ConcatPair, copy).as_sql(
compiler,
connection,
**extra_context,
)
def as_mysql(self, compiler, connection, **extra_context):
# Use CONCAT_WS with an empty separator so that NULLs are ignored.
return super().as_sql(
compiler,
connection,
function="CONCAT_WS",
template="%(function)s('', %(expressions)s)",
**extra_context,
)
def coalesce(self):
# null on either side results in null for expression, wrap with coalesce
c = self.copy()
c.set_source_expressions(
[
Coalesce(expression, Value(""))
for expression in c.get_source_expressions()
]
)
return c
class Concat(Func):
"""
Concatenate text fields together. Backends that result in an entire
null expression when any arguments are null will wrap each argument in
coalesce functions to ensure a non-null result.
"""
function = None
template = "%(expressions)s"
def __init__(self, *expressions, **extra):
if len(expressions) < 2:
raise ValueError("Concat must take at least two expressions")
paired = self._paired(expressions)
super().__init__(paired, **extra)
def _paired(self, expressions):
# wrap pairs of expressions in successive concat functions
# exp = [a, b, c, d]
# -> ConcatPair(a, ConcatPair(b, ConcatPair(c, d))))
if len(expressions) == 2:
return ConcatPair(*expressions)
return ConcatPair(expressions[0], self._paired(expressions[1:]))
class Left(Func):
function = "LEFT"
arity = 2
output_field = CharField()
def __init__(self, expression, length, **extra):
"""
expression: the name of a field, or an expression returning a string
length: the number of characters to return from the start of the string
"""
if not hasattr(length, "resolve_expression"):
if length < 1:
raise ValueError("'length' must be greater than 0.")
super().__init__(expression, length, **extra)
def get_substr(self):
return Substr(self.source_expressions[0], Value(1), self.source_expressions[1])
def as_oracle(self, compiler, connection, **extra_context):
return self.get_substr().as_oracle(compiler, connection, **extra_context)
def as_sqlite(self, compiler, connection, **extra_context):
return self.get_substr().as_sqlite(compiler, connection, **extra_context)
class Length(Transform):
"""Return the number of characters in the expression."""
function = "LENGTH"
lookup_name = "length"
output_field = IntegerField()
def as_mysql(self, compiler, connection, **extra_context):
return super().as_sql(
compiler, connection, function="CHAR_LENGTH", **extra_context
)
class Lower(Transform):
function = "LOWER"
lookup_name = "lower"
class LPad(Func):
function = "LPAD"
output_field = CharField()
def __init__(self, expression, length, fill_text=Value(" "), **extra):
if (
not hasattr(length, "resolve_expression")
and length is not None
and length < 0
):
raise ValueError("'length' must be greater or equal to 0.")
super().__init__(expression, length, fill_text, **extra)
class LTrim(Transform):
function = "LTRIM"
lookup_name = "ltrim"
class MD5(OracleHashMixin, Transform):
function = "MD5"
lookup_name = "md5"
class Ord(Transform):
function = "ASCII"
lookup_name = "ord"
output_field = IntegerField()
def as_mysql(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="ORD", **extra_context)
def as_sqlite(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="UNICODE", **extra_context)
class Repeat(Func):
function = "REPEAT"
output_field = CharField()
def __init__(self, expression, number, **extra):
if (
not hasattr(number, "resolve_expression")
and number is not None
and number < 0
):
raise ValueError("'number' must be greater or equal to 0.")
super().__init__(expression, number, **extra)
def as_oracle(self, compiler, connection, **extra_context):
expression, number = self.source_expressions
length = None if number is None else Length(expression) * number
rpad = RPad(expression, length, expression)
return rpad.as_sql(compiler, connection, **extra_context)
class Replace(Func):
function = "REPLACE"
def __init__(self, expression, text, replacement=Value(""), **extra):
super().__init__(expression, text, replacement, **extra)
class Reverse(Transform):
function = "REVERSE"
lookup_name = "reverse"
def as_oracle(self, compiler, connection, **extra_context):
# REVERSE in Oracle is undocumented and doesn't support multi-byte
# strings. Use a special subquery instead.
return super().as_sql(
compiler,
connection,
template=(
"(SELECT LISTAGG(s) WITHIN GROUP (ORDER BY n DESC) FROM "
"(SELECT LEVEL n, SUBSTR(%(expressions)s, LEVEL, 1) s "
"FROM DUAL CONNECT BY LEVEL <= LENGTH(%(expressions)s)) "
"GROUP BY %(expressions)s)"
),
**extra_context,
)
class Right(Left):
function = "RIGHT"
def get_substr(self):
return Substr(
self.source_expressions[0], self.source_expressions[1] * Value(-1)
)
class RPad(LPad):
function = "RPAD"
class RTrim(Transform):
function = "RTRIM"
lookup_name = "rtrim"
class SHA1(OracleHashMixin, PostgreSQLSHAMixin, Transform):
function = "SHA1"
lookup_name = "sha1"
class SHA224(MySQLSHA2Mixin, PostgreSQLSHAMixin, Transform):
function = "SHA224"
lookup_name = "sha224"
def as_oracle(self, compiler, connection, **extra_context):
raise NotSupportedError("SHA224 is not supported on Oracle.")
class SHA256(MySQLSHA2Mixin, OracleHashMixin, PostgreSQLSHAMixin, Transform):
function = "SHA256"
lookup_name = "sha256"
class SHA384(MySQLSHA2Mixin, OracleHashMixin, PostgreSQLSHAMixin, Transform):
function = "SHA384"
lookup_name = "sha384"
class SHA512(MySQLSHA2Mixin, OracleHashMixin, PostgreSQLSHAMixin, Transform):
function = "SHA512"
lookup_name = "sha512"
class StrIndex(Func):
"""
Return a positive integer corresponding to the 1-indexed position of the
first occurrence of a substring inside another string, or 0 if the
substring is not found.
"""
function = "INSTR"
arity = 2
output_field = IntegerField()
def as_postgresql(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="STRPOS", **extra_context)
class Substr(Func):
function = "SUBSTRING"
output_field = CharField()
def __init__(self, expression, pos, length=None, **extra):
"""
expression: the name of a field, or an expression returning a string
pos: an integer > 0, or an expression returning an integer
length: an optional number of characters to return
"""
if not hasattr(pos, "resolve_expression"):
if pos < 1:
raise ValueError("'pos' must be greater than 0")
expressions = [expression, pos]
if length is not None:
expressions.append(length)
super().__init__(*expressions, **extra)
def as_sqlite(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="SUBSTR", **extra_context)
def as_oracle(self, compiler, connection, **extra_context):
return super().as_sql(compiler, connection, function="SUBSTR", **extra_context)
class Trim(Transform):
function = "TRIM"
lookup_name = "trim"
class Upper(Transform):
function = "UPPER"
lookup_name = "upper"

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from django.db.models.expressions import Func
from django.db.models.fields import FloatField, IntegerField
__all__ = [
"CumeDist",
"DenseRank",
"FirstValue",
"Lag",
"LastValue",
"Lead",
"NthValue",
"Ntile",
"PercentRank",
"Rank",
"RowNumber",
]
class CumeDist(Func):
function = "CUME_DIST"
output_field = FloatField()
window_compatible = True
class DenseRank(Func):
function = "DENSE_RANK"
output_field = IntegerField()
window_compatible = True
class FirstValue(Func):
arity = 1
function = "FIRST_VALUE"
window_compatible = True
class LagLeadFunction(Func):
window_compatible = True
def __init__(self, expression, offset=1, default=None, **extra):
if expression is None:
raise ValueError(
"%s requires a non-null source expression." % self.__class__.__name__
)
if offset is None or offset <= 0:
raise ValueError(
"%s requires a positive integer for the offset."
% self.__class__.__name__
)
args = (expression, offset)
if default is not None:
args += (default,)
super().__init__(*args, **extra)
def _resolve_output_field(self):
sources = self.get_source_expressions()
return sources[0].output_field
class Lag(LagLeadFunction):
function = "LAG"
class LastValue(Func):
arity = 1
function = "LAST_VALUE"
window_compatible = True
class Lead(LagLeadFunction):
function = "LEAD"
class NthValue(Func):
function = "NTH_VALUE"
window_compatible = True
def __init__(self, expression, nth=1, **extra):
if expression is None:
raise ValueError(
"%s requires a non-null source expression." % self.__class__.__name__
)
if nth is None or nth <= 0:
raise ValueError(
"%s requires a positive integer as for nth." % self.__class__.__name__
)
super().__init__(expression, nth, **extra)
def _resolve_output_field(self):
sources = self.get_source_expressions()
return sources[0].output_field
class Ntile(Func):
function = "NTILE"
output_field = IntegerField()
window_compatible = True
def __init__(self, num_buckets=1, **extra):
if num_buckets <= 0:
raise ValueError("num_buckets must be greater than 0.")
super().__init__(num_buckets, **extra)
class PercentRank(Func):
function = "PERCENT_RANK"
output_field = FloatField()
window_compatible = True
class Rank(Func):
function = "RANK"
output_field = IntegerField()
window_compatible = True
class RowNumber(Func):
function = "ROW_NUMBER"
output_field = IntegerField()
window_compatible = True

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from django.db.backends.utils import names_digest, split_identifier
from django.db.models.expressions import Col, ExpressionList, F, Func, OrderBy
from django.db.models.functions import Collate
from django.db.models.query_utils import Q
from django.db.models.sql import Query
from django.utils.functional import partition
__all__ = ["Index"]
class Index:
suffix = "idx"
# The max length of the name of the index (restricted to 30 for
# cross-database compatibility with Oracle)
max_name_length = 30
def __init__(
self,
*expressions,
fields=(),
name=None,
db_tablespace=None,
opclasses=(),
condition=None,
include=None,
):
if opclasses and not name:
raise ValueError("An index must be named to use opclasses.")
if not isinstance(condition, (type(None), Q)):
raise ValueError("Index.condition must be a Q instance.")
if condition and not name:
raise ValueError("An index must be named to use condition.")
if not isinstance(fields, (list, tuple)):
raise ValueError("Index.fields must be a list or tuple.")
if not isinstance(opclasses, (list, tuple)):
raise ValueError("Index.opclasses must be a list or tuple.")
if not expressions and not fields:
raise ValueError(
"At least one field or expression is required to define an index."
)
if expressions and fields:
raise ValueError(
"Index.fields and expressions are mutually exclusive.",
)
if expressions and not name:
raise ValueError("An index must be named to use expressions.")
if expressions and opclasses:
raise ValueError(
"Index.opclasses cannot be used with expressions. Use "
"django.contrib.postgres.indexes.OpClass() instead."
)
if opclasses and len(fields) != len(opclasses):
raise ValueError(
"Index.fields and Index.opclasses must have the same number of "
"elements."
)
if fields and not all(isinstance(field, str) for field in fields):
raise ValueError("Index.fields must contain only strings with field names.")
if include and not name:
raise ValueError("A covering index must be named.")
if not isinstance(include, (type(None), list, tuple)):
raise ValueError("Index.include must be a list or tuple.")
self.fields = list(fields)
# A list of 2-tuple with the field name and ordering ('' or 'DESC').
self.fields_orders = [
(field_name[1:], "DESC") if field_name.startswith("-") else (field_name, "")
for field_name in self.fields
]
self.name = name or ""
self.db_tablespace = db_tablespace
self.opclasses = opclasses
self.condition = condition
self.include = tuple(include) if include else ()
self.expressions = tuple(
F(expression) if isinstance(expression, str) else expression
for expression in expressions
)
@property
def contains_expressions(self):
return bool(self.expressions)
def _get_condition_sql(self, model, schema_editor):
if self.condition is None:
return None
query = Query(model=model, alias_cols=False)
where = query.build_where(self.condition)
compiler = query.get_compiler(connection=schema_editor.connection)
sql, params = where.as_sql(compiler, schema_editor.connection)
return sql % tuple(schema_editor.quote_value(p) for p in params)
def create_sql(self, model, schema_editor, using="", **kwargs):
include = [
model._meta.get_field(field_name).column for field_name in self.include
]
condition = self._get_condition_sql(model, schema_editor)
if self.expressions:
index_expressions = []
for expression in self.expressions:
index_expression = IndexExpression(expression)
index_expression.set_wrapper_classes(schema_editor.connection)
index_expressions.append(index_expression)
expressions = ExpressionList(*index_expressions).resolve_expression(
Query(model, alias_cols=False),
)
fields = None
col_suffixes = None
else:
fields = [
model._meta.get_field(field_name)
for field_name, _ in self.fields_orders
]
if schema_editor.connection.features.supports_index_column_ordering:
col_suffixes = [order[1] for order in self.fields_orders]
else:
col_suffixes = [""] * len(self.fields_orders)
expressions = None
return schema_editor._create_index_sql(
model,
fields=fields,
name=self.name,
using=using,
db_tablespace=self.db_tablespace,
col_suffixes=col_suffixes,
opclasses=self.opclasses,
condition=condition,
include=include,
expressions=expressions,
**kwargs,
)
def remove_sql(self, model, schema_editor, **kwargs):
return schema_editor._delete_index_sql(model, self.name, **kwargs)
def deconstruct(self):
path = "%s.%s" % (self.__class__.__module__, self.__class__.__name__)
path = path.replace("django.db.models.indexes", "django.db.models")
kwargs = {"name": self.name}
if self.fields:
kwargs["fields"] = self.fields
if self.db_tablespace is not None:
kwargs["db_tablespace"] = self.db_tablespace
if self.opclasses:
kwargs["opclasses"] = self.opclasses
if self.condition:
kwargs["condition"] = self.condition
if self.include:
kwargs["include"] = self.include
return (path, self.expressions, kwargs)
def clone(self):
"""Create a copy of this Index."""
_, args, kwargs = self.deconstruct()
return self.__class__(*args, **kwargs)
def set_name_with_model(self, model):
"""
Generate a unique name for the index.
The name is divided into 3 parts - table name (12 chars), field name
(8 chars) and unique hash + suffix (10 chars). Each part is made to
fit its size by truncating the excess length.
"""
_, table_name = split_identifier(model._meta.db_table)
column_names = [
model._meta.get_field(field_name).column
for field_name, order in self.fields_orders
]
column_names_with_order = [
(("-%s" if order else "%s") % column_name)
for column_name, (field_name, order) in zip(
column_names, self.fields_orders
)
]
# The length of the parts of the name is based on the default max
# length of 30 characters.
hash_data = [table_name] + column_names_with_order + [self.suffix]
self.name = "%s_%s_%s" % (
table_name[:11],
column_names[0][:7],
"%s_%s" % (names_digest(*hash_data, length=6), self.suffix),
)
if len(self.name) > self.max_name_length:
raise ValueError(
"Index too long for multiple database support. Is self.suffix "
"longer than 3 characters?"
)
if self.name[0] == "_" or self.name[0].isdigit():
self.name = "D%s" % self.name[1:]
def __repr__(self):
return "<%s:%s%s%s%s%s%s%s>" % (
self.__class__.__qualname__,
"" if not self.fields else " fields=%s" % repr(self.fields),
"" if not self.expressions else " expressions=%s" % repr(self.expressions),
"" if not self.name else " name=%s" % repr(self.name),
""
if self.db_tablespace is None
else " db_tablespace=%s" % repr(self.db_tablespace),
"" if self.condition is None else " condition=%s" % self.condition,
"" if not self.include else " include=%s" % repr(self.include),
"" if not self.opclasses else " opclasses=%s" % repr(self.opclasses),
)
def __eq__(self, other):
if self.__class__ == other.__class__:
return self.deconstruct() == other.deconstruct()
return NotImplemented
class IndexExpression(Func):
"""Order and wrap expressions for CREATE INDEX statements."""
template = "%(expressions)s"
wrapper_classes = (OrderBy, Collate)
def set_wrapper_classes(self, connection=None):
# Some databases (e.g. MySQL) treats COLLATE as an indexed expression.
if connection and connection.features.collate_as_index_expression:
self.wrapper_classes = tuple(
[
wrapper_cls
for wrapper_cls in self.wrapper_classes
if wrapper_cls is not Collate
]
)
@classmethod
def register_wrappers(cls, *wrapper_classes):
cls.wrapper_classes = wrapper_classes
def resolve_expression(
self,
query=None,
allow_joins=True,
reuse=None,
summarize=False,
for_save=False,
):
expressions = list(self.flatten())
# Split expressions and wrappers.
index_expressions, wrappers = partition(
lambda e: isinstance(e, self.wrapper_classes),
expressions,
)
wrapper_types = [type(wrapper) for wrapper in wrappers]
if len(wrapper_types) != len(set(wrapper_types)):
raise ValueError(
"Multiple references to %s can't be used in an indexed "
"expression."
% ", ".join(
[wrapper_cls.__qualname__ for wrapper_cls in self.wrapper_classes]
)
)
if expressions[1 : len(wrappers) + 1] != wrappers:
raise ValueError(
"%s must be topmost expressions in an indexed expression."
% ", ".join(
[wrapper_cls.__qualname__ for wrapper_cls in self.wrapper_classes]
)
)
# Wrap expressions in parentheses if they are not column references.
root_expression = index_expressions[1]
resolve_root_expression = root_expression.resolve_expression(
query,
allow_joins,
reuse,
summarize,
for_save,
)
if not isinstance(resolve_root_expression, Col):
root_expression = Func(root_expression, template="(%(expressions)s)")
if wrappers:
# Order wrappers and set their expressions.
wrappers = sorted(
wrappers,
key=lambda w: self.wrapper_classes.index(type(w)),
)
wrappers = [wrapper.copy() for wrapper in wrappers]
for i, wrapper in enumerate(wrappers[:-1]):
wrapper.set_source_expressions([wrappers[i + 1]])
# Set the root expression on the deepest wrapper.
wrappers[-1].set_source_expressions([root_expression])
self.set_source_expressions([wrappers[0]])
else:
# Use the root expression, if there are no wrappers.
self.set_source_expressions([root_expression])
return super().resolve_expression(
query, allow_joins, reuse, summarize, for_save
)
def as_sqlite(self, compiler, connection, **extra_context):
# Casting to numeric is unnecessary.
return self.as_sql(compiler, connection, **extra_context)

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import itertools
import math
from django.core.exceptions import EmptyResultSet, FullResultSet
from django.db.models.expressions import Case, Expression, Func, Value, When
from django.db.models.fields import (
BooleanField,
CharField,
DateTimeField,
Field,
IntegerField,
UUIDField,
)
from django.db.models.query_utils import RegisterLookupMixin
from django.utils.datastructures import OrderedSet
from django.utils.functional import cached_property
from django.utils.hashable import make_hashable
class Lookup(Expression):
lookup_name = None
prepare_rhs = True
can_use_none_as_rhs = False
def __init__(self, lhs, rhs):
self.lhs, self.rhs = lhs, rhs
self.rhs = self.get_prep_lookup()
self.lhs = self.get_prep_lhs()
if hasattr(self.lhs, "get_bilateral_transforms"):
bilateral_transforms = self.lhs.get_bilateral_transforms()
else:
bilateral_transforms = []
if bilateral_transforms:
# Warn the user as soon as possible if they are trying to apply
# a bilateral transformation on a nested QuerySet: that won't work.
from django.db.models.sql.query import Query # avoid circular import
if isinstance(rhs, Query):
raise NotImplementedError(
"Bilateral transformations on nested querysets are not implemented."
)
self.bilateral_transforms = bilateral_transforms
def apply_bilateral_transforms(self, value):
for transform in self.bilateral_transforms:
value = transform(value)
return value
def __repr__(self):
return f"{self.__class__.__name__}({self.lhs!r}, {self.rhs!r})"
def batch_process_rhs(self, compiler, connection, rhs=None):
if rhs is None:
rhs = self.rhs
if self.bilateral_transforms:
sqls, sqls_params = [], []
for p in rhs:
value = Value(p, output_field=self.lhs.output_field)
value = self.apply_bilateral_transforms(value)
value = value.resolve_expression(compiler.query)
sql, sql_params = compiler.compile(value)
sqls.append(sql)
sqls_params.extend(sql_params)
else:
_, params = self.get_db_prep_lookup(rhs, connection)
sqls, sqls_params = ["%s"] * len(params), params
return sqls, sqls_params
def get_source_expressions(self):
if self.rhs_is_direct_value():
return [self.lhs]
return [self.lhs, self.rhs]
def set_source_expressions(self, new_exprs):
if len(new_exprs) == 1:
self.lhs = new_exprs[0]
else:
self.lhs, self.rhs = new_exprs
def get_prep_lookup(self):
if not self.prepare_rhs or hasattr(self.rhs, "resolve_expression"):
return self.rhs
if hasattr(self.lhs, "output_field"):
if hasattr(self.lhs.output_field, "get_prep_value"):
return self.lhs.output_field.get_prep_value(self.rhs)
elif self.rhs_is_direct_value():
return Value(self.rhs)
return self.rhs
def get_prep_lhs(self):
if hasattr(self.lhs, "resolve_expression"):
return self.lhs
return Value(self.lhs)
def get_db_prep_lookup(self, value, connection):
return ("%s", [value])
def process_lhs(self, compiler, connection, lhs=None):
lhs = lhs or self.lhs
if hasattr(lhs, "resolve_expression"):
lhs = lhs.resolve_expression(compiler.query)
sql, params = compiler.compile(lhs)
if isinstance(lhs, Lookup):
# Wrapped in parentheses to respect operator precedence.
sql = f"({sql})"
return sql, params
def process_rhs(self, compiler, connection):
value = self.rhs
if self.bilateral_transforms:
if self.rhs_is_direct_value():
# Do not call get_db_prep_lookup here as the value will be
# transformed before being used for lookup
value = Value(value, output_field=self.lhs.output_field)
value = self.apply_bilateral_transforms(value)
value = value.resolve_expression(compiler.query)
if hasattr(value, "as_sql"):
sql, params = compiler.compile(value)
# Ensure expression is wrapped in parentheses to respect operator
# precedence but avoid double wrapping as it can be misinterpreted
# on some backends (e.g. subqueries on SQLite).
if sql and sql[0] != "(":
sql = "(%s)" % sql
return sql, params
else:
return self.get_db_prep_lookup(value, connection)
def rhs_is_direct_value(self):
return not hasattr(self.rhs, "as_sql")
def get_group_by_cols(self):
cols = []
for source in self.get_source_expressions():
cols.extend(source.get_group_by_cols())
return cols
def as_oracle(self, compiler, connection):
# Oracle doesn't allow EXISTS() and filters to be compared to another
# expression unless they're wrapped in a CASE WHEN.
wrapped = False
exprs = []
for expr in (self.lhs, self.rhs):
if connection.ops.conditional_expression_supported_in_where_clause(expr):
expr = Case(When(expr, then=True), default=False)
wrapped = True
exprs.append(expr)
lookup = type(self)(*exprs) if wrapped else self
return lookup.as_sql(compiler, connection)
@cached_property
def output_field(self):
return BooleanField()
@property
def identity(self):
return self.__class__, self.lhs, self.rhs
def __eq__(self, other):
if not isinstance(other, Lookup):
return NotImplemented
return self.identity == other.identity
def __hash__(self):
return hash(make_hashable(self.identity))
def resolve_expression(
self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
):
c = self.copy()
c.is_summary = summarize
c.lhs = self.lhs.resolve_expression(
query, allow_joins, reuse, summarize, for_save
)
if hasattr(self.rhs, "resolve_expression"):
c.rhs = self.rhs.resolve_expression(
query, allow_joins, reuse, summarize, for_save
)
return c
def select_format(self, compiler, sql, params):
# Wrap filters with a CASE WHEN expression if a database backend
# (e.g. Oracle) doesn't support boolean expression in SELECT or GROUP
# BY list.
if not compiler.connection.features.supports_boolean_expr_in_select_clause:
sql = f"CASE WHEN {sql} THEN 1 ELSE 0 END"
return sql, params
class Transform(RegisterLookupMixin, Func):
"""
RegisterLookupMixin() is first so that get_lookup() and get_transform()
first examine self and then check output_field.
"""
bilateral = False
arity = 1
@property
def lhs(self):
return self.get_source_expressions()[0]
def get_bilateral_transforms(self):
if hasattr(self.lhs, "get_bilateral_transforms"):
bilateral_transforms = self.lhs.get_bilateral_transforms()
else:
bilateral_transforms = []
if self.bilateral:
bilateral_transforms.append(self.__class__)
return bilateral_transforms
class BuiltinLookup(Lookup):
def process_lhs(self, compiler, connection, lhs=None):
lhs_sql, params = super().process_lhs(compiler, connection, lhs)
field_internal_type = self.lhs.output_field.get_internal_type()
db_type = self.lhs.output_field.db_type(connection=connection)
lhs_sql = connection.ops.field_cast_sql(db_type, field_internal_type) % lhs_sql
lhs_sql = (
connection.ops.lookup_cast(self.lookup_name, field_internal_type) % lhs_sql
)
return lhs_sql, list(params)
def as_sql(self, compiler, connection):
lhs_sql, params = self.process_lhs(compiler, connection)
rhs_sql, rhs_params = self.process_rhs(compiler, connection)
params.extend(rhs_params)
rhs_sql = self.get_rhs_op(connection, rhs_sql)
return "%s %s" % (lhs_sql, rhs_sql), params
def get_rhs_op(self, connection, rhs):
return connection.operators[self.lookup_name] % rhs
class FieldGetDbPrepValueMixin:
"""
Some lookups require Field.get_db_prep_value() to be called on their
inputs.
"""
get_db_prep_lookup_value_is_iterable = False
def get_db_prep_lookup(self, value, connection):
# For relational fields, use the 'target_field' attribute of the
# output_field.
field = getattr(self.lhs.output_field, "target_field", None)
get_db_prep_value = (
getattr(field, "get_db_prep_value", None)
or self.lhs.output_field.get_db_prep_value
)
return (
"%s",
[get_db_prep_value(v, connection, prepared=True) for v in value]
if self.get_db_prep_lookup_value_is_iterable
else [get_db_prep_value(value, connection, prepared=True)],
)
class FieldGetDbPrepValueIterableMixin(FieldGetDbPrepValueMixin):
"""
Some lookups require Field.get_db_prep_value() to be called on each value
in an iterable.
"""
get_db_prep_lookup_value_is_iterable = True
def get_prep_lookup(self):
if hasattr(self.rhs, "resolve_expression"):
return self.rhs
prepared_values = []
for rhs_value in self.rhs:
if hasattr(rhs_value, "resolve_expression"):
# An expression will be handled by the database but can coexist
# alongside real values.
pass
elif self.prepare_rhs and hasattr(self.lhs.output_field, "get_prep_value"):
rhs_value = self.lhs.output_field.get_prep_value(rhs_value)
prepared_values.append(rhs_value)
return prepared_values
def process_rhs(self, compiler, connection):
if self.rhs_is_direct_value():
# rhs should be an iterable of values. Use batch_process_rhs()
# to prepare/transform those values.
return self.batch_process_rhs(compiler, connection)
else:
return super().process_rhs(compiler, connection)
def resolve_expression_parameter(self, compiler, connection, sql, param):
params = [param]
if hasattr(param, "resolve_expression"):
param = param.resolve_expression(compiler.query)
if hasattr(param, "as_sql"):
sql, params = compiler.compile(param)
return sql, params
def batch_process_rhs(self, compiler, connection, rhs=None):
pre_processed = super().batch_process_rhs(compiler, connection, rhs)
# The params list may contain expressions which compile to a
# sql/param pair. Zip them to get sql and param pairs that refer to the
# same argument and attempt to replace them with the result of
# compiling the param step.
sql, params = zip(
*(
self.resolve_expression_parameter(compiler, connection, sql, param)
for sql, param in zip(*pre_processed)
)
)
params = itertools.chain.from_iterable(params)
return sql, tuple(params)
class PostgresOperatorLookup(Lookup):
"""Lookup defined by operators on PostgreSQL."""
postgres_operator = None
def as_postgresql(self, compiler, connection):
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
params = tuple(lhs_params) + tuple(rhs_params)
return "%s %s %s" % (lhs, self.postgres_operator, rhs), params
@Field.register_lookup
class Exact(FieldGetDbPrepValueMixin, BuiltinLookup):
lookup_name = "exact"
def get_prep_lookup(self):
from django.db.models.sql.query import Query # avoid circular import
if isinstance(self.rhs, Query):
if self.rhs.has_limit_one():
if not self.rhs.has_select_fields:
self.rhs.clear_select_clause()
self.rhs.add_fields(["pk"])
else:
raise ValueError(
"The QuerySet value for an exact lookup must be limited to "
"one result using slicing."
)
return super().get_prep_lookup()
def as_sql(self, compiler, connection):
# Avoid comparison against direct rhs if lhs is a boolean value. That
# turns "boolfield__exact=True" into "WHERE boolean_field" instead of
# "WHERE boolean_field = True" when allowed.
if (
isinstance(self.rhs, bool)
and getattr(self.lhs, "conditional", False)
and connection.ops.conditional_expression_supported_in_where_clause(
self.lhs
)
):
lhs_sql, params = self.process_lhs(compiler, connection)
template = "%s" if self.rhs else "NOT %s"
return template % lhs_sql, params
return super().as_sql(compiler, connection)
@Field.register_lookup
class IExact(BuiltinLookup):
lookup_name = "iexact"
prepare_rhs = False
def process_rhs(self, qn, connection):
rhs, params = super().process_rhs(qn, connection)
if params:
params[0] = connection.ops.prep_for_iexact_query(params[0])
return rhs, params
@Field.register_lookup
class GreaterThan(FieldGetDbPrepValueMixin, BuiltinLookup):
lookup_name = "gt"
@Field.register_lookup
class GreaterThanOrEqual(FieldGetDbPrepValueMixin, BuiltinLookup):
lookup_name = "gte"
@Field.register_lookup
class LessThan(FieldGetDbPrepValueMixin, BuiltinLookup):
lookup_name = "lt"
@Field.register_lookup
class LessThanOrEqual(FieldGetDbPrepValueMixin, BuiltinLookup):
lookup_name = "lte"
class IntegerFieldFloatRounding:
"""
Allow floats to work as query values for IntegerField. Without this, the
decimal portion of the float would always be discarded.
"""
def get_prep_lookup(self):
if isinstance(self.rhs, float):
self.rhs = math.ceil(self.rhs)
return super().get_prep_lookup()
@IntegerField.register_lookup
class IntegerGreaterThanOrEqual(IntegerFieldFloatRounding, GreaterThanOrEqual):
pass
@IntegerField.register_lookup
class IntegerLessThan(IntegerFieldFloatRounding, LessThan):
pass
@Field.register_lookup
class In(FieldGetDbPrepValueIterableMixin, BuiltinLookup):
lookup_name = "in"
def get_prep_lookup(self):
from django.db.models.sql.query import Query # avoid circular import
if isinstance(self.rhs, Query):
self.rhs.clear_ordering(clear_default=True)
if not self.rhs.has_select_fields:
self.rhs.clear_select_clause()
self.rhs.add_fields(["pk"])
return super().get_prep_lookup()
def process_rhs(self, compiler, connection):
db_rhs = getattr(self.rhs, "_db", None)
if db_rhs is not None and db_rhs != connection.alias:
raise ValueError(
"Subqueries aren't allowed across different databases. Force "
"the inner query to be evaluated using `list(inner_query)`."
)
if self.rhs_is_direct_value():
# Remove None from the list as NULL is never equal to anything.
try:
rhs = OrderedSet(self.rhs)
rhs.discard(None)
except TypeError: # Unhashable items in self.rhs
rhs = [r for r in self.rhs if r is not None]
if not rhs:
raise EmptyResultSet
# rhs should be an iterable; use batch_process_rhs() to
# prepare/transform those values.
sqls, sqls_params = self.batch_process_rhs(compiler, connection, rhs)
placeholder = "(" + ", ".join(sqls) + ")"
return (placeholder, sqls_params)
return super().process_rhs(compiler, connection)
def get_rhs_op(self, connection, rhs):
return "IN %s" % rhs
def as_sql(self, compiler, connection):
max_in_list_size = connection.ops.max_in_list_size()
if (
self.rhs_is_direct_value()
and max_in_list_size
and len(self.rhs) > max_in_list_size
):
return self.split_parameter_list_as_sql(compiler, connection)
return super().as_sql(compiler, connection)
def split_parameter_list_as_sql(self, compiler, connection):
# This is a special case for databases which limit the number of
# elements which can appear in an 'IN' clause.
max_in_list_size = connection.ops.max_in_list_size()
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.batch_process_rhs(compiler, connection)
in_clause_elements = ["("]
params = []
for offset in range(0, len(rhs_params), max_in_list_size):
if offset > 0:
in_clause_elements.append(" OR ")
in_clause_elements.append("%s IN (" % lhs)
params.extend(lhs_params)
sqls = rhs[offset : offset + max_in_list_size]
sqls_params = rhs_params[offset : offset + max_in_list_size]
param_group = ", ".join(sqls)
in_clause_elements.append(param_group)
in_clause_elements.append(")")
params.extend(sqls_params)
in_clause_elements.append(")")
return "".join(in_clause_elements), params
class PatternLookup(BuiltinLookup):
param_pattern = "%%%s%%"
prepare_rhs = False
def get_rhs_op(self, connection, rhs):
# Assume we are in startswith. We need to produce SQL like:
# col LIKE %s, ['thevalue%']
# For python values we can (and should) do that directly in Python,
# but if the value is for example reference to other column, then
# we need to add the % pattern match to the lookup by something like
# col LIKE othercol || '%%'
# So, for Python values we don't need any special pattern, but for
# SQL reference values or SQL transformations we need the correct
# pattern added.
if hasattr(self.rhs, "as_sql") or self.bilateral_transforms:
pattern = connection.pattern_ops[self.lookup_name].format(
connection.pattern_esc
)
return pattern.format(rhs)
else:
return super().get_rhs_op(connection, rhs)
def process_rhs(self, qn, connection):
rhs, params = super().process_rhs(qn, connection)
if self.rhs_is_direct_value() and params and not self.bilateral_transforms:
params[0] = self.param_pattern % connection.ops.prep_for_like_query(
params[0]
)
return rhs, params
@Field.register_lookup
class Contains(PatternLookup):
lookup_name = "contains"
@Field.register_lookup
class IContains(Contains):
lookup_name = "icontains"
@Field.register_lookup
class StartsWith(PatternLookup):
lookup_name = "startswith"
param_pattern = "%s%%"
@Field.register_lookup
class IStartsWith(StartsWith):
lookup_name = "istartswith"
@Field.register_lookup
class EndsWith(PatternLookup):
lookup_name = "endswith"
param_pattern = "%%%s"
@Field.register_lookup
class IEndsWith(EndsWith):
lookup_name = "iendswith"
@Field.register_lookup
class Range(FieldGetDbPrepValueIterableMixin, BuiltinLookup):
lookup_name = "range"
def get_rhs_op(self, connection, rhs):
return "BETWEEN %s AND %s" % (rhs[0], rhs[1])
@Field.register_lookup
class IsNull(BuiltinLookup):
lookup_name = "isnull"
prepare_rhs = False
def as_sql(self, compiler, connection):
if not isinstance(self.rhs, bool):
raise ValueError(
"The QuerySet value for an isnull lookup must be True or False."
)
if isinstance(self.lhs, Value):
if self.lhs.value is None or (
self.lhs.value == ""
and connection.features.interprets_empty_strings_as_nulls
):
result_exception = FullResultSet if self.rhs else EmptyResultSet
else:
result_exception = EmptyResultSet if self.rhs else FullResultSet
raise result_exception
sql, params = self.process_lhs(compiler, connection)
if self.rhs:
return "%s IS NULL" % sql, params
else:
return "%s IS NOT NULL" % sql, params
@Field.register_lookup
class Regex(BuiltinLookup):
lookup_name = "regex"
prepare_rhs = False
def as_sql(self, compiler, connection):
if self.lookup_name in connection.operators:
return super().as_sql(compiler, connection)
else:
lhs, lhs_params = self.process_lhs(compiler, connection)
rhs, rhs_params = self.process_rhs(compiler, connection)
sql_template = connection.ops.regex_lookup(self.lookup_name)
return sql_template % (lhs, rhs), lhs_params + rhs_params
@Field.register_lookup
class IRegex(Regex):
lookup_name = "iregex"
class YearLookup(Lookup):
def year_lookup_bounds(self, connection, year):
from django.db.models.functions import ExtractIsoYear
iso_year = isinstance(self.lhs, ExtractIsoYear)
output_field = self.lhs.lhs.output_field
if isinstance(output_field, DateTimeField):
bounds = connection.ops.year_lookup_bounds_for_datetime_field(
year,
iso_year=iso_year,
)
else:
bounds = connection.ops.year_lookup_bounds_for_date_field(
year,
iso_year=iso_year,
)
return bounds
def as_sql(self, compiler, connection):
# Avoid the extract operation if the rhs is a direct value to allow
# indexes to be used.
if self.rhs_is_direct_value():
# Skip the extract part by directly using the originating field,
# that is self.lhs.lhs.
lhs_sql, params = self.process_lhs(compiler, connection, self.lhs.lhs)
rhs_sql, _ = self.process_rhs(compiler, connection)
rhs_sql = self.get_direct_rhs_sql(connection, rhs_sql)
start, finish = self.year_lookup_bounds(connection, self.rhs)
params.extend(self.get_bound_params(start, finish))
return "%s %s" % (lhs_sql, rhs_sql), params
return super().as_sql(compiler, connection)
def get_direct_rhs_sql(self, connection, rhs):
return connection.operators[self.lookup_name] % rhs
def get_bound_params(self, start, finish):
raise NotImplementedError(
"subclasses of YearLookup must provide a get_bound_params() method"
)
class YearExact(YearLookup, Exact):
def get_direct_rhs_sql(self, connection, rhs):
return "BETWEEN %s AND %s"
def get_bound_params(self, start, finish):
return (start, finish)
class YearGt(YearLookup, GreaterThan):
def get_bound_params(self, start, finish):
return (finish,)
class YearGte(YearLookup, GreaterThanOrEqual):
def get_bound_params(self, start, finish):
return (start,)
class YearLt(YearLookup, LessThan):
def get_bound_params(self, start, finish):
return (start,)
class YearLte(YearLookup, LessThanOrEqual):
def get_bound_params(self, start, finish):
return (finish,)
class UUIDTextMixin:
"""
Strip hyphens from a value when filtering a UUIDField on backends without
a native datatype for UUID.
"""
def process_rhs(self, qn, connection):
if not connection.features.has_native_uuid_field:
from django.db.models.functions import Replace
if self.rhs_is_direct_value():
self.rhs = Value(self.rhs)
self.rhs = Replace(
self.rhs, Value("-"), Value(""), output_field=CharField()
)
rhs, params = super().process_rhs(qn, connection)
return rhs, params
@UUIDField.register_lookup
class UUIDIExact(UUIDTextMixin, IExact):
pass
@UUIDField.register_lookup
class UUIDContains(UUIDTextMixin, Contains):
pass
@UUIDField.register_lookup
class UUIDIContains(UUIDTextMixin, IContains):
pass
@UUIDField.register_lookup
class UUIDStartsWith(UUIDTextMixin, StartsWith):
pass
@UUIDField.register_lookup
class UUIDIStartsWith(UUIDTextMixin, IStartsWith):
pass
@UUIDField.register_lookup
class UUIDEndsWith(UUIDTextMixin, EndsWith):
pass
@UUIDField.register_lookup
class UUIDIEndsWith(UUIDTextMixin, IEndsWith):
pass

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import copy
import inspect
from functools import wraps
from importlib import import_module
from django.db import router
from django.db.models.query import QuerySet
class BaseManager:
# To retain order, track each time a Manager instance is created.
creation_counter = 0
# Set to True for the 'objects' managers that are automatically created.
auto_created = False
#: If set to True the manager will be serialized into migrations and will
#: thus be available in e.g. RunPython operations.
use_in_migrations = False
def __new__(cls, *args, **kwargs):
# Capture the arguments to make returning them trivial.
obj = super().__new__(cls)
obj._constructor_args = (args, kwargs)
return obj
def __init__(self):
super().__init__()
self._set_creation_counter()
self.model = None
self.name = None
self._db = None
self._hints = {}
def __str__(self):
"""Return "app_label.model_label.manager_name"."""
return "%s.%s" % (self.model._meta.label, self.name)
def __class_getitem__(cls, *args, **kwargs):
return cls
def deconstruct(self):
"""
Return a 5-tuple of the form (as_manager (True), manager_class,
queryset_class, args, kwargs).
Raise a ValueError if the manager is dynamically generated.
"""
qs_class = self._queryset_class
if getattr(self, "_built_with_as_manager", False):
# using MyQuerySet.as_manager()
return (
True, # as_manager
None, # manager_class
"%s.%s" % (qs_class.__module__, qs_class.__name__), # qs_class
None, # args
None, # kwargs
)
else:
module_name = self.__module__
name = self.__class__.__name__
# Make sure it's actually there and not an inner class
module = import_module(module_name)
if not hasattr(module, name):
raise ValueError(
"Could not find manager %s in %s.\n"
"Please note that you need to inherit from managers you "
"dynamically generated with 'from_queryset()'."
% (name, module_name)
)
return (
False, # as_manager
"%s.%s" % (module_name, name), # manager_class
None, # qs_class
self._constructor_args[0], # args
self._constructor_args[1], # kwargs
)
def check(self, **kwargs):
return []
@classmethod
def _get_queryset_methods(cls, queryset_class):
def create_method(name, method):
@wraps(method)
def manager_method(self, *args, **kwargs):
return getattr(self.get_queryset(), name)(*args, **kwargs)
return manager_method
new_methods = {}
for name, method in inspect.getmembers(
queryset_class, predicate=inspect.isfunction
):
# Only copy missing methods.
if hasattr(cls, name):
continue
# Only copy public methods or methods with the attribute
# queryset_only=False.
queryset_only = getattr(method, "queryset_only", None)
if queryset_only or (queryset_only is None and name.startswith("_")):
continue
# Copy the method onto the manager.
new_methods[name] = create_method(name, method)
return new_methods
@classmethod
def from_queryset(cls, queryset_class, class_name=None):
if class_name is None:
class_name = "%sFrom%s" % (cls.__name__, queryset_class.__name__)
return type(
class_name,
(cls,),
{
"_queryset_class": queryset_class,
**cls._get_queryset_methods(queryset_class),
},
)
def contribute_to_class(self, cls, name):
self.name = self.name or name
self.model = cls
setattr(cls, name, ManagerDescriptor(self))
cls._meta.add_manager(self)
def _set_creation_counter(self):
"""
Set the creation counter value for this instance and increment the
class-level copy.
"""
self.creation_counter = BaseManager.creation_counter
BaseManager.creation_counter += 1
def db_manager(self, using=None, hints=None):
obj = copy.copy(self)
obj._db = using or self._db
obj._hints = hints or self._hints
return obj
@property
def db(self):
return self._db or router.db_for_read(self.model, **self._hints)
#######################
# PROXIES TO QUERYSET #
#######################
def get_queryset(self):
"""
Return a new QuerySet object. Subclasses can override this method to
customize the behavior of the Manager.
"""
return self._queryset_class(model=self.model, using=self._db, hints=self._hints)
def all(self):
# We can't proxy this method through the `QuerySet` like we do for the
# rest of the `QuerySet` methods. This is because `QuerySet.all()`
# works by creating a "copy" of the current queryset and in making said
# copy, all the cached `prefetch_related` lookups are lost. See the
# implementation of `RelatedManager.get_queryset()` for a better
# understanding of how this comes into play.
return self.get_queryset()
def __eq__(self, other):
return (
isinstance(other, self.__class__)
and self._constructor_args == other._constructor_args
)
def __hash__(self):
return id(self)
class Manager(BaseManager.from_queryset(QuerySet)):
pass
class ManagerDescriptor:
def __init__(self, manager):
self.manager = manager
def __get__(self, instance, cls=None):
if instance is not None:
raise AttributeError(
"Manager isn't accessible via %s instances" % cls.__name__
)
if cls._meta.abstract:
raise AttributeError(
"Manager isn't available; %s is abstract" % (cls._meta.object_name,)
)
if cls._meta.swapped:
raise AttributeError(
"Manager isn't available; '%s' has been swapped for '%s'"
% (
cls._meta.label,
cls._meta.swapped,
)
)
return cls._meta.managers_map[self.manager.name]
class EmptyManager(Manager):
def __init__(self, model):
super().__init__()
self.model = model
def get_queryset(self):
return super().get_queryset().none()

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"""
Various data structures used in query construction.
Factored out from django.db.models.query to avoid making the main module very
large and/or so that they can be used by other modules without getting into
circular import difficulties.
"""
import functools
import inspect
import logging
from collections import namedtuple
from django.core.exceptions import FieldError
from django.db import DEFAULT_DB_ALIAS, DatabaseError, connections
from django.db.models.constants import LOOKUP_SEP
from django.utils import tree
logger = logging.getLogger("django.db.models")
# PathInfo is used when converting lookups (fk__somecol). The contents
# describe the relation in Model terms (model Options and Fields for both
# sides of the relation. The join_field is the field backing the relation.
PathInfo = namedtuple(
"PathInfo",
"from_opts to_opts target_fields join_field m2m direct filtered_relation",
)
def subclasses(cls):
yield cls
for subclass in cls.__subclasses__():
yield from subclasses(subclass)
class Q(tree.Node):
"""
Encapsulate filters as objects that can then be combined logically (using
`&` and `|`).
"""
# Connection types
AND = "AND"
OR = "OR"
XOR = "XOR"
default = AND
conditional = True
def __init__(self, *args, _connector=None, _negated=False, **kwargs):
super().__init__(
children=[*args, *sorted(kwargs.items())],
connector=_connector,
negated=_negated,
)
def _combine(self, other, conn):
if getattr(other, "conditional", False) is False:
raise TypeError(other)
if not self:
return other.copy()
if not other and isinstance(other, Q):
return self.copy()
obj = self.create(connector=conn)
obj.add(self, conn)
obj.add(other, conn)
return obj
def __or__(self, other):
return self._combine(other, self.OR)
def __and__(self, other):
return self._combine(other, self.AND)
def __xor__(self, other):
return self._combine(other, self.XOR)
def __invert__(self):
obj = self.copy()
obj.negate()
return obj
def resolve_expression(
self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
):
# We must promote any new joins to left outer joins so that when Q is
# used as an expression, rows aren't filtered due to joins.
clause, joins = query._add_q(
self,
reuse,
allow_joins=allow_joins,
split_subq=False,
check_filterable=False,
summarize=summarize,
)
query.promote_joins(joins)
return clause
def flatten(self):
"""
Recursively yield this Q object and all subexpressions, in depth-first
order.
"""
yield self
for child in self.children:
if isinstance(child, tuple):
# Use the lookup.
child = child[1]
if hasattr(child, "flatten"):
yield from child.flatten()
else:
yield child
def check(self, against, using=DEFAULT_DB_ALIAS):
"""
Do a database query to check if the expressions of the Q instance
matches against the expressions.
"""
# Avoid circular imports.
from django.db.models import BooleanField, Value
from django.db.models.functions import Coalesce
from django.db.models.sql import Query
from django.db.models.sql.constants import SINGLE
query = Query(None)
for name, value in against.items():
if not hasattr(value, "resolve_expression"):
value = Value(value)
query.add_annotation(value, name, select=False)
query.add_annotation(Value(1), "_check")
# This will raise a FieldError if a field is missing in "against".
if connections[using].features.supports_comparing_boolean_expr:
query.add_q(Q(Coalesce(self, True, output_field=BooleanField())))
else:
query.add_q(self)
compiler = query.get_compiler(using=using)
try:
return compiler.execute_sql(SINGLE) is not None
except DatabaseError as e:
logger.warning("Got a database error calling check() on %r: %s", self, e)
return True
def deconstruct(self):
path = "%s.%s" % (self.__class__.__module__, self.__class__.__name__)
if path.startswith("django.db.models.query_utils"):
path = path.replace("django.db.models.query_utils", "django.db.models")
args = tuple(self.children)
kwargs = {}
if self.connector != self.default:
kwargs["_connector"] = self.connector
if self.negated:
kwargs["_negated"] = True
return path, args, kwargs
class DeferredAttribute:
"""
A wrapper for a deferred-loading field. When the value is read from this
object the first time, the query is executed.
"""
def __init__(self, field):
self.field = field
def __get__(self, instance, cls=None):
"""
Retrieve and caches the value from the datastore on the first lookup.
Return the cached value.
"""
if instance is None:
return self
data = instance.__dict__
field_name = self.field.attname
if field_name not in data:
# Let's see if the field is part of the parent chain. If so we
# might be able to reuse the already loaded value. Refs #18343.
val = self._check_parent_chain(instance)
if val is None:
instance.refresh_from_db(fields=[field_name])
else:
data[field_name] = val
return data[field_name]
def _check_parent_chain(self, instance):
"""
Check if the field value can be fetched from a parent field already
loaded in the instance. This can be done if the to-be fetched
field is a primary key field.
"""
opts = instance._meta
link_field = opts.get_ancestor_link(self.field.model)
if self.field.primary_key and self.field != link_field:
return getattr(instance, link_field.attname)
return None
class class_or_instance_method:
"""
Hook used in RegisterLookupMixin to return partial functions depending on
the caller type (instance or class of models.Field).
"""
def __init__(self, class_method, instance_method):
self.class_method = class_method
self.instance_method = instance_method
def __get__(self, instance, owner):
if instance is None:
return functools.partial(self.class_method, owner)
return functools.partial(self.instance_method, instance)
class RegisterLookupMixin:
def _get_lookup(self, lookup_name):
return self.get_lookups().get(lookup_name, None)
@functools.lru_cache(maxsize=None)
def get_class_lookups(cls):
class_lookups = [
parent.__dict__.get("class_lookups", {}) for parent in inspect.getmro(cls)
]
return cls.merge_dicts(class_lookups)
def get_instance_lookups(self):
class_lookups = self.get_class_lookups()
if instance_lookups := getattr(self, "instance_lookups", None):
return {**class_lookups, **instance_lookups}
return class_lookups
get_lookups = class_or_instance_method(get_class_lookups, get_instance_lookups)
get_class_lookups = classmethod(get_class_lookups)
def get_lookup(self, lookup_name):
from django.db.models.lookups import Lookup
found = self._get_lookup(lookup_name)
if found is None and hasattr(self, "output_field"):
return self.output_field.get_lookup(lookup_name)
if found is not None and not issubclass(found, Lookup):
return None
return found
def get_transform(self, lookup_name):
from django.db.models.lookups import Transform
found = self._get_lookup(lookup_name)
if found is None and hasattr(self, "output_field"):
return self.output_field.get_transform(lookup_name)
if found is not None and not issubclass(found, Transform):
return None
return found
@staticmethod
def merge_dicts(dicts):
"""
Merge dicts in reverse to preference the order of the original list. e.g.,
merge_dicts([a, b]) will preference the keys in 'a' over those in 'b'.
"""
merged = {}
for d in reversed(dicts):
merged.update(d)
return merged
@classmethod
def _clear_cached_class_lookups(cls):
for subclass in subclasses(cls):
subclass.get_class_lookups.cache_clear()
def register_class_lookup(cls, lookup, lookup_name=None):
if lookup_name is None:
lookup_name = lookup.lookup_name
if "class_lookups" not in cls.__dict__:
cls.class_lookups = {}
cls.class_lookups[lookup_name] = lookup
cls._clear_cached_class_lookups()
return lookup
def register_instance_lookup(self, lookup, lookup_name=None):
if lookup_name is None:
lookup_name = lookup.lookup_name
if "instance_lookups" not in self.__dict__:
self.instance_lookups = {}
self.instance_lookups[lookup_name] = lookup
return lookup
register_lookup = class_or_instance_method(
register_class_lookup, register_instance_lookup
)
register_class_lookup = classmethod(register_class_lookup)
def _unregister_class_lookup(cls, lookup, lookup_name=None):
"""
Remove given lookup from cls lookups. For use in tests only as it's
not thread-safe.
"""
if lookup_name is None:
lookup_name = lookup.lookup_name
del cls.class_lookups[lookup_name]
cls._clear_cached_class_lookups()
def _unregister_instance_lookup(self, lookup, lookup_name=None):
"""
Remove given lookup from instance lookups. For use in tests only as
it's not thread-safe.
"""
if lookup_name is None:
lookup_name = lookup.lookup_name
del self.instance_lookups[lookup_name]
_unregister_lookup = class_or_instance_method(
_unregister_class_lookup, _unregister_instance_lookup
)
_unregister_class_lookup = classmethod(_unregister_class_lookup)
def select_related_descend(field, restricted, requested, select_mask, reverse=False):
"""
Return True if this field should be used to descend deeper for
select_related() purposes. Used by both the query construction code
(compiler.get_related_selections()) and the model instance creation code
(compiler.klass_info).
Arguments:
* field - the field to be checked
* restricted - a boolean field, indicating if the field list has been
manually restricted using a requested clause)
* requested - The select_related() dictionary.
* select_mask - the dictionary of selected fields.
* reverse - boolean, True if we are checking a reverse select related
"""
if not field.remote_field:
return False
if field.remote_field.parent_link and not reverse:
return False
if restricted:
if reverse and field.related_query_name() not in requested:
return False
if not reverse and field.name not in requested:
return False
if not restricted and field.null:
return False
if (
restricted
and select_mask
and field.name in requested
and field not in select_mask
):
raise FieldError(
f"Field {field.model._meta.object_name}.{field.name} cannot be both "
"deferred and traversed using select_related at the same time."
)
return True
def refs_expression(lookup_parts, annotations):
"""
Check if the lookup_parts contains references to the given annotations set.
Because the LOOKUP_SEP is contained in the default annotation names, check
each prefix of the lookup_parts for a match.
"""
for n in range(1, len(lookup_parts) + 1):
level_n_lookup = LOOKUP_SEP.join(lookup_parts[0:n])
if annotations.get(level_n_lookup):
return level_n_lookup, lookup_parts[n:]
return None, ()
def check_rel_lookup_compatibility(model, target_opts, field):
"""
Check that self.model is compatible with target_opts. Compatibility
is OK if:
1) model and opts match (where proxy inheritance is removed)
2) model is parent of opts' model or the other way around
"""
def check(opts):
return (
model._meta.concrete_model == opts.concrete_model
or opts.concrete_model in model._meta.get_parent_list()
or model in opts.get_parent_list()
)
# If the field is a primary key, then doing a query against the field's
# model is ok, too. Consider the case:
# class Restaurant(models.Model):
# place = OneToOneField(Place, primary_key=True):
# Restaurant.objects.filter(pk__in=Restaurant.objects.all()).
# If we didn't have the primary key check, then pk__in (== place__in) would
# give Place's opts as the target opts, but Restaurant isn't compatible
# with that. This logic applies only to primary keys, as when doing __in=qs,
# we are going to turn this into __in=qs.values('pk') later on.
return check(target_opts) or (
getattr(field, "primary_key", False) and check(field.model._meta)
)
class FilteredRelation:
"""Specify custom filtering in the ON clause of SQL joins."""
def __init__(self, relation_name, *, condition=Q()):
if not relation_name:
raise ValueError("relation_name cannot be empty.")
self.relation_name = relation_name
self.alias = None
if not isinstance(condition, Q):
raise ValueError("condition argument must be a Q() instance.")
self.condition = condition
self.path = []
def __eq__(self, other):
if not isinstance(other, self.__class__):
return NotImplemented
return (
self.relation_name == other.relation_name
and self.alias == other.alias
and self.condition == other.condition
)
def clone(self):
clone = FilteredRelation(self.relation_name, condition=self.condition)
clone.alias = self.alias
clone.path = self.path[:]
return clone
def resolve_expression(self, *args, **kwargs):
"""
QuerySet.annotate() only accepts expression-like arguments
(with a resolve_expression() method).
"""
raise NotImplementedError("FilteredRelation.resolve_expression() is unused.")
def as_sql(self, compiler, connection):
# Resolve the condition in Join.filtered_relation.
query = compiler.query
where = query.build_filtered_relation_q(self.condition, reuse=set(self.path))
return compiler.compile(where)

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from functools import partial
from django.db.models.utils import make_model_tuple
from django.dispatch import Signal
class_prepared = Signal()
class ModelSignal(Signal):
"""
Signal subclass that allows the sender to be lazily specified as a string
of the `app_label.ModelName` form.
"""
def _lazy_method(self, method, apps, receiver, sender, **kwargs):
from django.db.models.options import Options
# This partial takes a single optional argument named "sender".
partial_method = partial(method, receiver, **kwargs)
if isinstance(sender, str):
apps = apps or Options.default_apps
apps.lazy_model_operation(partial_method, make_model_tuple(sender))
else:
return partial_method(sender)
def connect(self, receiver, sender=None, weak=True, dispatch_uid=None, apps=None):
self._lazy_method(
super().connect,
apps,
receiver,
sender,
weak=weak,
dispatch_uid=dispatch_uid,
)
def disconnect(self, receiver=None, sender=None, dispatch_uid=None, apps=None):
return self._lazy_method(
super().disconnect, apps, receiver, sender, dispatch_uid=dispatch_uid
)
pre_init = ModelSignal(use_caching=True)
post_init = ModelSignal(use_caching=True)
pre_save = ModelSignal(use_caching=True)
post_save = ModelSignal(use_caching=True)
pre_delete = ModelSignal(use_caching=True)
post_delete = ModelSignal(use_caching=True)
m2m_changed = ModelSignal(use_caching=True)
pre_migrate = Signal()
post_migrate = Signal()

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from django.db.models.sql.query import * # NOQA
from django.db.models.sql.query import Query
from django.db.models.sql.subqueries import * # NOQA
from django.db.models.sql.where import AND, OR, XOR
__all__ = ["Query", "AND", "OR", "XOR"]

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"""
Constants specific to the SQL storage portion of the ORM.
"""
# Size of each "chunk" for get_iterator calls.
# Larger values are slightly faster at the expense of more storage space.
GET_ITERATOR_CHUNK_SIZE = 100
# Namedtuples for sql.* internal use.
# How many results to expect from a cursor.execute call
MULTI = "multi"
SINGLE = "single"
CURSOR = "cursor"
NO_RESULTS = "no results"
ORDER_DIR = {
"ASC": ("ASC", "DESC"),
"DESC": ("DESC", "ASC"),
}
# SQL join types.
INNER = "INNER JOIN"
LOUTER = "LEFT OUTER JOIN"

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"""
Useful auxiliary data structures for query construction. Not useful outside
the SQL domain.
"""
from django.core.exceptions import FullResultSet
from django.db.models.sql.constants import INNER, LOUTER
class MultiJoin(Exception):
"""
Used by join construction code to indicate the point at which a
multi-valued join was attempted (if the caller wants to treat that
exceptionally).
"""
def __init__(self, names_pos, path_with_names):
self.level = names_pos
# The path travelled, this includes the path to the multijoin.
self.names_with_path = path_with_names
class Empty:
pass
class Join:
"""
Used by sql.Query and sql.SQLCompiler to generate JOIN clauses into the
FROM entry. For example, the SQL generated could be
LEFT OUTER JOIN "sometable" T1
ON ("othertable"."sometable_id" = "sometable"."id")
This class is primarily used in Query.alias_map. All entries in alias_map
must be Join compatible by providing the following attributes and methods:
- table_name (string)
- table_alias (possible alias for the table, can be None)
- join_type (can be None for those entries that aren't joined from
anything)
- parent_alias (which table is this join's parent, can be None similarly
to join_type)
- as_sql()
- relabeled_clone()
"""
def __init__(
self,
table_name,
parent_alias,
table_alias,
join_type,
join_field,
nullable,
filtered_relation=None,
):
# Join table
self.table_name = table_name
self.parent_alias = parent_alias
# Note: table_alias is not necessarily known at instantiation time.
self.table_alias = table_alias
# LOUTER or INNER
self.join_type = join_type
# A list of 2-tuples to use in the ON clause of the JOIN.
# Each 2-tuple will create one join condition in the ON clause.
self.join_cols = join_field.get_joining_columns()
# Along which field (or ForeignObjectRel in the reverse join case)
self.join_field = join_field
# Is this join nullabled?
self.nullable = nullable
self.filtered_relation = filtered_relation
def as_sql(self, compiler, connection):
"""
Generate the full
LEFT OUTER JOIN sometable ON sometable.somecol = othertable.othercol, params
clause for this join.
"""
join_conditions = []
params = []
qn = compiler.quote_name_unless_alias
qn2 = connection.ops.quote_name
# Add a join condition for each pair of joining columns.
for lhs_col, rhs_col in self.join_cols:
join_conditions.append(
"%s.%s = %s.%s"
% (
qn(self.parent_alias),
qn2(lhs_col),
qn(self.table_alias),
qn2(rhs_col),
)
)
# Add a single condition inside parentheses for whatever
# get_extra_restriction() returns.
extra_cond = self.join_field.get_extra_restriction(
self.table_alias, self.parent_alias
)
if extra_cond:
extra_sql, extra_params = compiler.compile(extra_cond)
join_conditions.append("(%s)" % extra_sql)
params.extend(extra_params)
if self.filtered_relation:
try:
extra_sql, extra_params = compiler.compile(self.filtered_relation)
except FullResultSet:
pass
else:
join_conditions.append("(%s)" % extra_sql)
params.extend(extra_params)
if not join_conditions:
# This might be a rel on the other end of an actual declared field.
declared_field = getattr(self.join_field, "field", self.join_field)
raise ValueError(
"Join generated an empty ON clause. %s did not yield either "
"joining columns or extra restrictions." % declared_field.__class__
)
on_clause_sql = " AND ".join(join_conditions)
alias_str = (
"" if self.table_alias == self.table_name else (" %s" % self.table_alias)
)
sql = "%s %s%s ON (%s)" % (
self.join_type,
qn(self.table_name),
alias_str,
on_clause_sql,
)
return sql, params
def relabeled_clone(self, change_map):
new_parent_alias = change_map.get(self.parent_alias, self.parent_alias)
new_table_alias = change_map.get(self.table_alias, self.table_alias)
if self.filtered_relation is not None:
filtered_relation = self.filtered_relation.clone()
filtered_relation.path = [
change_map.get(p, p) for p in self.filtered_relation.path
]
else:
filtered_relation = None
return self.__class__(
self.table_name,
new_parent_alias,
new_table_alias,
self.join_type,
self.join_field,
self.nullable,
filtered_relation=filtered_relation,
)
@property
def identity(self):
return (
self.__class__,
self.table_name,
self.parent_alias,
self.join_field,
self.filtered_relation,
)
def __eq__(self, other):
if not isinstance(other, Join):
return NotImplemented
return self.identity == other.identity
def __hash__(self):
return hash(self.identity)
def equals(self, other):
# Ignore filtered_relation in equality check.
return self.identity[:-1] == other.identity[:-1]
def demote(self):
new = self.relabeled_clone({})
new.join_type = INNER
return new
def promote(self):
new = self.relabeled_clone({})
new.join_type = LOUTER
return new
class BaseTable:
"""
The BaseTable class is used for base table references in FROM clause. For
example, the SQL "foo" in
SELECT * FROM "foo" WHERE somecond
could be generated by this class.
"""
join_type = None
parent_alias = None
filtered_relation = None
def __init__(self, table_name, alias):
self.table_name = table_name
self.table_alias = alias
def as_sql(self, compiler, connection):
alias_str = (
"" if self.table_alias == self.table_name else (" %s" % self.table_alias)
)
base_sql = compiler.quote_name_unless_alias(self.table_name)
return base_sql + alias_str, []
def relabeled_clone(self, change_map):
return self.__class__(
self.table_name, change_map.get(self.table_alias, self.table_alias)
)
@property
def identity(self):
return self.__class__, self.table_name, self.table_alias
def __eq__(self, other):
if not isinstance(other, BaseTable):
return NotImplemented
return self.identity == other.identity
def __hash__(self):
return hash(self.identity)
def equals(self, other):
return self.identity == other.identity

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"""
Query subclasses which provide extra functionality beyond simple data retrieval.
"""
from django.core.exceptions import FieldError
from django.db.models.sql.constants import CURSOR, GET_ITERATOR_CHUNK_SIZE, NO_RESULTS
from django.db.models.sql.query import Query
__all__ = ["DeleteQuery", "UpdateQuery", "InsertQuery", "AggregateQuery"]
class DeleteQuery(Query):
"""A DELETE SQL query."""
compiler = "SQLDeleteCompiler"
def do_query(self, table, where, using):
self.alias_map = {table: self.alias_map[table]}
self.where = where
cursor = self.get_compiler(using).execute_sql(CURSOR)
if cursor:
with cursor:
return cursor.rowcount
return 0
def delete_batch(self, pk_list, using):
"""
Set up and execute delete queries for all the objects in pk_list.
More than one physical query may be executed if there are a
lot of values in pk_list.
"""
# number of objects deleted
num_deleted = 0
field = self.get_meta().pk
for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE):
self.clear_where()
self.add_filter(
f"{field.attname}__in",
pk_list[offset : offset + GET_ITERATOR_CHUNK_SIZE],
)
num_deleted += self.do_query(
self.get_meta().db_table, self.where, using=using
)
return num_deleted
class UpdateQuery(Query):
"""An UPDATE SQL query."""
compiler = "SQLUpdateCompiler"
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._setup_query()
def _setup_query(self):
"""
Run on initialization and at the end of chaining. Any attributes that
would normally be set in __init__() should go here instead.
"""
self.values = []
self.related_ids = None
self.related_updates = {}
def clone(self):
obj = super().clone()
obj.related_updates = self.related_updates.copy()
return obj
def update_batch(self, pk_list, values, using):
self.add_update_values(values)
for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE):
self.clear_where()
self.add_filter(
"pk__in", pk_list[offset : offset + GET_ITERATOR_CHUNK_SIZE]
)
self.get_compiler(using).execute_sql(NO_RESULTS)
def add_update_values(self, values):
"""
Convert a dictionary of field name to value mappings into an update
query. This is the entry point for the public update() method on
querysets.
"""
values_seq = []
for name, val in values.items():
field = self.get_meta().get_field(name)
direct = (
not (field.auto_created and not field.concrete) or not field.concrete
)
model = field.model._meta.concrete_model
if not direct or (field.is_relation and field.many_to_many):
raise FieldError(
"Cannot update model field %r (only non-relations and "
"foreign keys permitted)." % field
)
if model is not self.get_meta().concrete_model:
self.add_related_update(model, field, val)
continue
values_seq.append((field, model, val))
return self.add_update_fields(values_seq)
def add_update_fields(self, values_seq):
"""
Append a sequence of (field, model, value) triples to the internal list
that will be used to generate the UPDATE query. Might be more usefully
called add_update_targets() to hint at the extra information here.
"""
for field, model, val in values_seq:
if hasattr(val, "resolve_expression"):
# Resolve expressions here so that annotations are no longer needed
val = val.resolve_expression(self, allow_joins=False, for_save=True)
self.values.append((field, model, val))
def add_related_update(self, model, field, value):
"""
Add (name, value) to an update query for an ancestor model.
Update are coalesced so that only one update query per ancestor is run.
"""
self.related_updates.setdefault(model, []).append((field, None, value))
def get_related_updates(self):
"""
Return a list of query objects: one for each update required to an
ancestor model. Each query will have the same filtering conditions as
the current query but will only update a single table.
"""
if not self.related_updates:
return []
result = []
for model, values in self.related_updates.items():
query = UpdateQuery(model)
query.values = values
if self.related_ids is not None:
query.add_filter("pk__in", self.related_ids[model])
result.append(query)
return result
class InsertQuery(Query):
compiler = "SQLInsertCompiler"
def __init__(
self, *args, on_conflict=None, update_fields=None, unique_fields=None, **kwargs
):
super().__init__(*args, **kwargs)
self.fields = []
self.objs = []
self.on_conflict = on_conflict
self.update_fields = update_fields or []
self.unique_fields = unique_fields or []
def insert_values(self, fields, objs, raw=False):
self.fields = fields
self.objs = objs
self.raw = raw
class AggregateQuery(Query):
"""
Take another query as a parameter to the FROM clause and only select the
elements in the provided list.
"""
compiler = "SQLAggregateCompiler"
def __init__(self, model, inner_query):
self.inner_query = inner_query
super().__init__(model)

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"""
Code to manage the creation and SQL rendering of 'where' constraints.
"""
import operator
from functools import reduce
from django.core.exceptions import EmptyResultSet, FullResultSet
from django.db.models.expressions import Case, When
from django.db.models.lookups import Exact
from django.utils import tree
from django.utils.functional import cached_property
# Connection types
AND = "AND"
OR = "OR"
XOR = "XOR"
class WhereNode(tree.Node):
"""
An SQL WHERE clause.
The class is tied to the Query class that created it (in order to create
the correct SQL).
A child is usually an expression producing boolean values. Most likely the
expression is a Lookup instance.
However, a child could also be any class with as_sql() and either
relabeled_clone() method or relabel_aliases() and clone() methods and
contains_aggregate attribute.
"""
default = AND
resolved = False
conditional = True
def split_having_qualify(self, negated=False, must_group_by=False):
"""
Return three possibly None nodes: one for those parts of self that
should be included in the WHERE clause, one for those parts of self
that must be included in the HAVING clause, and one for those parts
that refer to window functions.
"""
if not self.contains_aggregate and not self.contains_over_clause:
return self, None, None
in_negated = negated ^ self.negated
# Whether or not children must be connected in the same filtering
# clause (WHERE > HAVING > QUALIFY) to maintain logical semantic.
must_remain_connected = (
(in_negated and self.connector == AND)
or (not in_negated and self.connector == OR)
or self.connector == XOR
)
if (
must_remain_connected
and self.contains_aggregate
and not self.contains_over_clause
):
# It's must cheaper to short-circuit and stash everything in the
# HAVING clause than split children if possible.
return None, self, None
where_parts = []
having_parts = []
qualify_parts = []
for c in self.children:
if hasattr(c, "split_having_qualify"):
where_part, having_part, qualify_part = c.split_having_qualify(
in_negated, must_group_by
)
if where_part is not None:
where_parts.append(where_part)
if having_part is not None:
having_parts.append(having_part)
if qualify_part is not None:
qualify_parts.append(qualify_part)
elif c.contains_over_clause:
qualify_parts.append(c)
elif c.contains_aggregate:
having_parts.append(c)
else:
where_parts.append(c)
if must_remain_connected and qualify_parts:
# Disjunctive heterogeneous predicates can be pushed down to
# qualify as long as no conditional aggregation is involved.
if not where_parts or (where_parts and not must_group_by):
return None, None, self
elif where_parts:
# In theory this should only be enforced when dealing with
# where_parts containing predicates against multi-valued
# relationships that could affect aggregation results but this
# is complex to infer properly.
raise NotImplementedError(
"Heterogeneous disjunctive predicates against window functions are "
"not implemented when performing conditional aggregation."
)
where_node = (
self.create(where_parts, self.connector, self.negated)
if where_parts
else None
)
having_node = (
self.create(having_parts, self.connector, self.negated)
if having_parts
else None
)
qualify_node = (
self.create(qualify_parts, self.connector, self.negated)
if qualify_parts
else None
)
return where_node, having_node, qualify_node
def as_sql(self, compiler, connection):
"""
Return the SQL version of the where clause and the value to be
substituted in. Return '', [] if this node matches everything,
None, [] if this node is empty, and raise EmptyResultSet if this
node can't match anything.
"""
result = []
result_params = []
if self.connector == AND:
full_needed, empty_needed = len(self.children), 1
else:
full_needed, empty_needed = 1, len(self.children)
if self.connector == XOR and not connection.features.supports_logical_xor:
# Convert if the database doesn't support XOR:
# a XOR b XOR c XOR ...
# to:
# (a OR b OR c OR ...) AND (a + b + c + ...) == 1
lhs = self.__class__(self.children, OR)
rhs_sum = reduce(
operator.add,
(Case(When(c, then=1), default=0) for c in self.children),
)
rhs = Exact(1, rhs_sum)
return self.__class__([lhs, rhs], AND, self.negated).as_sql(
compiler, connection
)
for child in self.children:
try:
sql, params = compiler.compile(child)
except EmptyResultSet:
empty_needed -= 1
except FullResultSet:
full_needed -= 1
else:
if sql:
result.append(sql)
result_params.extend(params)
else:
full_needed -= 1
# Check if this node matches nothing or everything.
# First check the amount of full nodes and empty nodes
# to make this node empty/full.
# Now, check if this node is full/empty using the
# counts.
if empty_needed == 0:
if self.negated:
raise FullResultSet
else:
raise EmptyResultSet
if full_needed == 0:
if self.negated:
raise EmptyResultSet
else:
raise FullResultSet
conn = " %s " % self.connector
sql_string = conn.join(result)
if not sql_string:
raise FullResultSet
if self.negated:
# Some backends (Oracle at least) need parentheses around the inner
# SQL in the negated case, even if the inner SQL contains just a
# single expression.
sql_string = "NOT (%s)" % sql_string
elif len(result) > 1 or self.resolved:
sql_string = "(%s)" % sql_string
return sql_string, result_params
def get_group_by_cols(self):
cols = []
for child in self.children:
cols.extend(child.get_group_by_cols())
return cols
def get_source_expressions(self):
return self.children[:]
def set_source_expressions(self, children):
assert len(children) == len(self.children)
self.children = children
def relabel_aliases(self, change_map):
"""
Relabel the alias values of any children. 'change_map' is a dictionary
mapping old (current) alias values to the new values.
"""
for pos, child in enumerate(self.children):
if hasattr(child, "relabel_aliases"):
# For example another WhereNode
child.relabel_aliases(change_map)
elif hasattr(child, "relabeled_clone"):
self.children[pos] = child.relabeled_clone(change_map)
def clone(self):
clone = self.create(connector=self.connector, negated=self.negated)
for child in self.children:
if hasattr(child, "clone"):
child = child.clone()
clone.children.append(child)
return clone
def relabeled_clone(self, change_map):
clone = self.clone()
clone.relabel_aliases(change_map)
return clone
def replace_expressions(self, replacements):
if replacement := replacements.get(self):
return replacement
clone = self.create(connector=self.connector, negated=self.negated)
for child in self.children:
clone.children.append(child.replace_expressions(replacements))
return clone
def get_refs(self):
refs = set()
for child in self.children:
refs |= child.get_refs()
return refs
@classmethod
def _contains_aggregate(cls, obj):
if isinstance(obj, tree.Node):
return any(cls._contains_aggregate(c) for c in obj.children)
return obj.contains_aggregate
@cached_property
def contains_aggregate(self):
return self._contains_aggregate(self)
@classmethod
def _contains_over_clause(cls, obj):
if isinstance(obj, tree.Node):
return any(cls._contains_over_clause(c) for c in obj.children)
return obj.contains_over_clause
@cached_property
def contains_over_clause(self):
return self._contains_over_clause(self)
@property
def is_summary(self):
return any(child.is_summary for child in self.children)
@staticmethod
def _resolve_leaf(expr, query, *args, **kwargs):
if hasattr(expr, "resolve_expression"):
expr = expr.resolve_expression(query, *args, **kwargs)
return expr
@classmethod
def _resolve_node(cls, node, query, *args, **kwargs):
if hasattr(node, "children"):
for child in node.children:
cls._resolve_node(child, query, *args, **kwargs)
if hasattr(node, "lhs"):
node.lhs = cls._resolve_leaf(node.lhs, query, *args, **kwargs)
if hasattr(node, "rhs"):
node.rhs = cls._resolve_leaf(node.rhs, query, *args, **kwargs)
def resolve_expression(self, *args, **kwargs):
clone = self.clone()
clone._resolve_node(clone, *args, **kwargs)
clone.resolved = True
return clone
@cached_property
def output_field(self):
from django.db.models import BooleanField
return BooleanField()
@property
def _output_field_or_none(self):
return self.output_field
def select_format(self, compiler, sql, params):
# Wrap filters with a CASE WHEN expression if a database backend
# (e.g. Oracle) doesn't support boolean expression in SELECT or GROUP
# BY list.
if not compiler.connection.features.supports_boolean_expr_in_select_clause:
sql = f"CASE WHEN {sql} THEN 1 ELSE 0 END"
return sql, params
def get_db_converters(self, connection):
return self.output_field.get_db_converters(connection)
def get_lookup(self, lookup):
return self.output_field.get_lookup(lookup)
def leaves(self):
for child in self.children:
if isinstance(child, WhereNode):
yield from child.leaves()
else:
yield child
class NothingNode:
"""A node that matches nothing."""
contains_aggregate = False
contains_over_clause = False
def as_sql(self, compiler=None, connection=None):
raise EmptyResultSet
class ExtraWhere:
# The contents are a black box - assume no aggregates or windows are used.
contains_aggregate = False
contains_over_clause = False
def __init__(self, sqls, params):
self.sqls = sqls
self.params = params
def as_sql(self, compiler=None, connection=None):
sqls = ["(%s)" % sql for sql in self.sqls]
return " AND ".join(sqls), list(self.params or ())
class SubqueryConstraint:
# Even if aggregates or windows would be used in a subquery,
# the outer query isn't interested about those.
contains_aggregate = False
contains_over_clause = False
def __init__(self, alias, columns, targets, query_object):
self.alias = alias
self.columns = columns
self.targets = targets
query_object.clear_ordering(clear_default=True)
self.query_object = query_object
def as_sql(self, compiler, connection):
query = self.query_object
query.set_values(self.targets)
query_compiler = query.get_compiler(connection=connection)
return query_compiler.as_subquery_condition(self.alias, self.columns, compiler)

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import functools
from collections import namedtuple
def make_model_tuple(model):
"""
Take a model or a string of the form "app_label.ModelName" and return a
corresponding ("app_label", "modelname") tuple. If a tuple is passed in,
assume it's a valid model tuple already and return it unchanged.
"""
try:
if isinstance(model, tuple):
model_tuple = model
elif isinstance(model, str):
app_label, model_name = model.split(".")
model_tuple = app_label, model_name.lower()
else:
model_tuple = model._meta.app_label, model._meta.model_name
assert len(model_tuple) == 2
return model_tuple
except (ValueError, AssertionError):
raise ValueError(
"Invalid model reference '%s'. String model references "
"must be of the form 'app_label.ModelName'." % model
)
def resolve_callables(mapping):
"""
Generate key/value pairs for the given mapping where the values are
evaluated if they're callable.
"""
for k, v in mapping.items():
yield k, v() if callable(v) else v
def unpickle_named_row(names, values):
return create_namedtuple_class(*names)(*values)
@functools.lru_cache
def create_namedtuple_class(*names):
# Cache type() with @lru_cache since it's too slow to be called for every
# QuerySet evaluation.
def __reduce__(self):
return unpickle_named_row, (names, tuple(self))
return type(
"Row",
(namedtuple("Row", names),),
{"__reduce__": __reduce__, "__slots__": ()},
)
class AltersData:
"""
Make subclasses preserve the alters_data attribute on overridden methods.
"""
def __init_subclass__(cls, **kwargs):
for fn_name, fn in vars(cls).items():
if callable(fn) and not hasattr(fn, "alters_data"):
for base in cls.__bases__:
if base_fn := getattr(base, fn_name, None):
if hasattr(base_fn, "alters_data"):
fn.alters_data = base_fn.alters_data
break
super().__init_subclass__(**kwargs)

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from contextlib import ContextDecorator, contextmanager
from django.db import (
DEFAULT_DB_ALIAS,
DatabaseError,
Error,
ProgrammingError,
connections,
)
class TransactionManagementError(ProgrammingError):
"""Transaction management is used improperly."""
pass
def get_connection(using=None):
"""
Get a database connection by name, or the default database connection
if no name is provided. This is a private API.
"""
if using is None:
using = DEFAULT_DB_ALIAS
return connections[using]
def get_autocommit(using=None):
"""Get the autocommit status of the connection."""
return get_connection(using).get_autocommit()
def set_autocommit(autocommit, using=None):
"""Set the autocommit status of the connection."""
return get_connection(using).set_autocommit(autocommit)
def commit(using=None):
"""Commit a transaction."""
get_connection(using).commit()
def rollback(using=None):
"""Roll back a transaction."""
get_connection(using).rollback()
def savepoint(using=None):
"""
Create a savepoint (if supported and required by the backend) inside the
current transaction. Return an identifier for the savepoint that will be
used for the subsequent rollback or commit.
"""
return get_connection(using).savepoint()
def savepoint_rollback(sid, using=None):
"""
Roll back the most recent savepoint (if one exists). Do nothing if
savepoints are not supported.
"""
get_connection(using).savepoint_rollback(sid)
def savepoint_commit(sid, using=None):
"""
Commit the most recent savepoint (if one exists). Do nothing if
savepoints are not supported.
"""
get_connection(using).savepoint_commit(sid)
def clean_savepoints(using=None):
"""
Reset the counter used to generate unique savepoint ids in this thread.
"""
get_connection(using).clean_savepoints()
def get_rollback(using=None):
"""Get the "needs rollback" flag -- for *advanced use* only."""
return get_connection(using).get_rollback()
def set_rollback(rollback, using=None):
"""
Set or unset the "needs rollback" flag -- for *advanced use* only.
When `rollback` is `True`, trigger a rollback when exiting the innermost
enclosing atomic block that has `savepoint=True` (that's the default). Use
this to force a rollback without raising an exception.
When `rollback` is `False`, prevent such a rollback. Use this only after
rolling back to a known-good state! Otherwise, you break the atomic block
and data corruption may occur.
"""
return get_connection(using).set_rollback(rollback)
@contextmanager
def mark_for_rollback_on_error(using=None):
"""
Internal low-level utility to mark a transaction as "needs rollback" when
an exception is raised while not enforcing the enclosed block to be in a
transaction. This is needed by Model.save() and friends to avoid starting a
transaction when in autocommit mode and a single query is executed.
It's equivalent to:
connection = get_connection(using)
if connection.get_autocommit():
yield
else:
with transaction.atomic(using=using, savepoint=False):
yield
but it uses low-level utilities to avoid performance overhead.
"""
try:
yield
except Exception as exc:
connection = get_connection(using)
if connection.in_atomic_block:
connection.needs_rollback = True
connection.rollback_exc = exc
raise
def on_commit(func, using=None, robust=False):
"""
Register `func` to be called when the current transaction is committed.
If the current transaction is rolled back, `func` will not be called.
"""
get_connection(using).on_commit(func, robust)
#################################
# Decorators / context managers #
#################################
class Atomic(ContextDecorator):
"""
Guarantee the atomic execution of a given block.
An instance can be used either as a decorator or as a context manager.
When it's used as a decorator, __call__ wraps the execution of the
decorated function in the instance itself, used as a context manager.
When it's used as a context manager, __enter__ creates a transaction or a
savepoint, depending on whether a transaction is already in progress, and
__exit__ commits the transaction or releases the savepoint on normal exit,
and rolls back the transaction or to the savepoint on exceptions.
It's possible to disable the creation of savepoints if the goal is to
ensure that some code runs within a transaction without creating overhead.
A stack of savepoints identifiers is maintained as an attribute of the
connection. None denotes the absence of a savepoint.
This allows reentrancy even if the same AtomicWrapper is reused. For
example, it's possible to define `oa = atomic('other')` and use `@oa` or
`with oa:` multiple times.
Since database connections are thread-local, this is thread-safe.
An atomic block can be tagged as durable. In this case, raise a
RuntimeError if it's nested within another atomic block. This guarantees
that database changes in a durable block are committed to the database when
the block exists without error.
This is a private API.
"""
def __init__(self, using, savepoint, durable):
self.using = using
self.savepoint = savepoint
self.durable = durable
self._from_testcase = False
def __enter__(self):
connection = get_connection(self.using)
if (
self.durable
and connection.atomic_blocks
and not connection.atomic_blocks[-1]._from_testcase
):
raise RuntimeError(
"A durable atomic block cannot be nested within another "
"atomic block."
)
if not connection.in_atomic_block:
# Reset state when entering an outermost atomic block.
connection.commit_on_exit = True
connection.needs_rollback = False
if not connection.get_autocommit():
# Pretend we're already in an atomic block to bypass the code
# that disables autocommit to enter a transaction, and make a
# note to deal with this case in __exit__.
connection.in_atomic_block = True
connection.commit_on_exit = False
if connection.in_atomic_block:
# We're already in a transaction; create a savepoint, unless we
# were told not to or we're already waiting for a rollback. The
# second condition avoids creating useless savepoints and prevents
# overwriting needs_rollback until the rollback is performed.
if self.savepoint and not connection.needs_rollback:
sid = connection.savepoint()
connection.savepoint_ids.append(sid)
else:
connection.savepoint_ids.append(None)
else:
connection.set_autocommit(
False, force_begin_transaction_with_broken_autocommit=True
)
connection.in_atomic_block = True
if connection.in_atomic_block:
connection.atomic_blocks.append(self)
def __exit__(self, exc_type, exc_value, traceback):
connection = get_connection(self.using)
if connection.in_atomic_block:
connection.atomic_blocks.pop()
if connection.savepoint_ids:
sid = connection.savepoint_ids.pop()
else:
# Prematurely unset this flag to allow using commit or rollback.
connection.in_atomic_block = False
try:
if connection.closed_in_transaction:
# The database will perform a rollback by itself.
# Wait until we exit the outermost block.
pass
elif exc_type is None and not connection.needs_rollback:
if connection.in_atomic_block:
# Release savepoint if there is one
if sid is not None:
try:
connection.savepoint_commit(sid)
except DatabaseError:
try:
connection.savepoint_rollback(sid)
# The savepoint won't be reused. Release it to
# minimize overhead for the database server.
connection.savepoint_commit(sid)
except Error:
# If rolling back to a savepoint fails, mark for
# rollback at a higher level and avoid shadowing
# the original exception.
connection.needs_rollback = True
raise
else:
# Commit transaction
try:
connection.commit()
except DatabaseError:
try:
connection.rollback()
except Error:
# An error during rollback means that something
# went wrong with the connection. Drop it.
connection.close()
raise
else:
# This flag will be set to True again if there isn't a savepoint
# allowing to perform the rollback at this level.
connection.needs_rollback = False
if connection.in_atomic_block:
# Roll back to savepoint if there is one, mark for rollback
# otherwise.
if sid is None:
connection.needs_rollback = True
else:
try:
connection.savepoint_rollback(sid)
# The savepoint won't be reused. Release it to
# minimize overhead for the database server.
connection.savepoint_commit(sid)
except Error:
# If rolling back to a savepoint fails, mark for
# rollback at a higher level and avoid shadowing
# the original exception.
connection.needs_rollback = True
else:
# Roll back transaction
try:
connection.rollback()
except Error:
# An error during rollback means that something
# went wrong with the connection. Drop it.
connection.close()
finally:
# Outermost block exit when autocommit was enabled.
if not connection.in_atomic_block:
if connection.closed_in_transaction:
connection.connection = None
else:
connection.set_autocommit(True)
# Outermost block exit when autocommit was disabled.
elif not connection.savepoint_ids and not connection.commit_on_exit:
if connection.closed_in_transaction:
connection.connection = None
else:
connection.in_atomic_block = False
def atomic(using=None, savepoint=True, durable=False):
# Bare decorator: @atomic -- although the first argument is called
# `using`, it's actually the function being decorated.
if callable(using):
return Atomic(DEFAULT_DB_ALIAS, savepoint, durable)(using)
# Decorator: @atomic(...) or context manager: with atomic(...): ...
else:
return Atomic(using, savepoint, durable)
def _non_atomic_requests(view, using):
try:
view._non_atomic_requests.add(using)
except AttributeError:
view._non_atomic_requests = {using}
return view
def non_atomic_requests(using=None):
if callable(using):
return _non_atomic_requests(using, DEFAULT_DB_ALIAS)
else:
if using is None:
using = DEFAULT_DB_ALIAS
return lambda view: _non_atomic_requests(view, using)

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import pkgutil
from importlib import import_module
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
# For backwards compatibility with Django < 3.2
from django.utils.connection import ConnectionDoesNotExist # NOQA: F401
from django.utils.connection import BaseConnectionHandler
from django.utils.functional import cached_property
from django.utils.module_loading import import_string
DEFAULT_DB_ALIAS = "default"
DJANGO_VERSION_PICKLE_KEY = "_django_version"
class Error(Exception):
pass
class InterfaceError(Error):
pass
class DatabaseError(Error):
pass
class DataError(DatabaseError):
pass
class OperationalError(DatabaseError):
pass
class IntegrityError(DatabaseError):
pass
class InternalError(DatabaseError):
pass
class ProgrammingError(DatabaseError):
pass
class NotSupportedError(DatabaseError):
pass
class DatabaseErrorWrapper:
"""
Context manager and decorator that reraises backend-specific database
exceptions using Django's common wrappers.
"""
def __init__(self, wrapper):
"""
wrapper is a database wrapper.
It must have a Database attribute defining PEP-249 exceptions.
"""
self.wrapper = wrapper
def __enter__(self):
pass
def __exit__(self, exc_type, exc_value, traceback):
if exc_type is None:
return
for dj_exc_type in (
DataError,
OperationalError,
IntegrityError,
InternalError,
ProgrammingError,
NotSupportedError,
DatabaseError,
InterfaceError,
Error,
):
db_exc_type = getattr(self.wrapper.Database, dj_exc_type.__name__)
if issubclass(exc_type, db_exc_type):
dj_exc_value = dj_exc_type(*exc_value.args)
# Only set the 'errors_occurred' flag for errors that may make
# the connection unusable.
if dj_exc_type not in (DataError, IntegrityError):
self.wrapper.errors_occurred = True
raise dj_exc_value.with_traceback(traceback) from exc_value
def __call__(self, func):
# Note that we are intentionally not using @wraps here for performance
# reasons. Refs #21109.
def inner(*args, **kwargs):
with self:
return func(*args, **kwargs)
return inner
def load_backend(backend_name):
"""
Return a database backend's "base" module given a fully qualified database
backend name, or raise an error if it doesn't exist.
"""
# This backend was renamed in Django 1.9.
if backend_name == "django.db.backends.postgresql_psycopg2":
backend_name = "django.db.backends.postgresql"
try:
return import_module("%s.base" % backend_name)
except ImportError as e_user:
# The database backend wasn't found. Display a helpful error message
# listing all built-in database backends.
import django.db.backends
builtin_backends = [
name
for _, name, ispkg in pkgutil.iter_modules(django.db.backends.__path__)
if ispkg and name not in {"base", "dummy"}
]
if backend_name not in ["django.db.backends.%s" % b for b in builtin_backends]:
backend_reprs = map(repr, sorted(builtin_backends))
raise ImproperlyConfigured(
"%r isn't an available database backend or couldn't be "
"imported. Check the above exception. To use one of the "
"built-in backends, use 'django.db.backends.XXX', where XXX "
"is one of:\n"
" %s" % (backend_name, ", ".join(backend_reprs))
) from e_user
else:
# If there's some other error, this must be an error in Django
raise
class ConnectionHandler(BaseConnectionHandler):
settings_name = "DATABASES"
# Connections needs to still be an actual thread local, as it's truly
# thread-critical. Database backends should use @async_unsafe to protect
# their code from async contexts, but this will give those contexts
# separate connections in case it's needed as well. There's no cleanup
# after async contexts, though, so we don't allow that if we can help it.
thread_critical = True
def configure_settings(self, databases):
databases = super().configure_settings(databases)
if databases == {}:
databases[DEFAULT_DB_ALIAS] = {"ENGINE": "django.db.backends.dummy"}
elif DEFAULT_DB_ALIAS not in databases:
raise ImproperlyConfigured(
f"You must define a '{DEFAULT_DB_ALIAS}' database."
)
elif databases[DEFAULT_DB_ALIAS] == {}:
databases[DEFAULT_DB_ALIAS]["ENGINE"] = "django.db.backends.dummy"
# Configure default settings.
for conn in databases.values():
conn.setdefault("ATOMIC_REQUESTS", False)
conn.setdefault("AUTOCOMMIT", True)
conn.setdefault("ENGINE", "django.db.backends.dummy")
if conn["ENGINE"] == "django.db.backends." or not conn["ENGINE"]:
conn["ENGINE"] = "django.db.backends.dummy"
conn.setdefault("CONN_MAX_AGE", 0)
conn.setdefault("CONN_HEALTH_CHECKS", False)
conn.setdefault("OPTIONS", {})
conn.setdefault("TIME_ZONE", None)
for setting in ["NAME", "USER", "PASSWORD", "HOST", "PORT"]:
conn.setdefault(setting, "")
test_settings = conn.setdefault("TEST", {})
default_test_settings = [
("CHARSET", None),
("COLLATION", None),
("MIGRATE", True),
("MIRROR", None),
("NAME", None),
]
for key, value in default_test_settings:
test_settings.setdefault(key, value)
return databases
@property
def databases(self):
# Maintained for backward compatibility as some 3rd party packages have
# made use of this private API in the past. It is no longer used within
# Django itself.
return self.settings
def create_connection(self, alias):
db = self.settings[alias]
backend = load_backend(db["ENGINE"])
return backend.DatabaseWrapper(db, alias)
class ConnectionRouter:
def __init__(self, routers=None):
"""
If routers is not specified, default to settings.DATABASE_ROUTERS.
"""
self._routers = routers
@cached_property
def routers(self):
if self._routers is None:
self._routers = settings.DATABASE_ROUTERS
routers = []
for r in self._routers:
if isinstance(r, str):
router = import_string(r)()
else:
router = r
routers.append(router)
return routers
def _router_func(action):
def _route_db(self, model, **hints):
chosen_db = None
for router in self.routers:
try:
method = getattr(router, action)
except AttributeError:
# If the router doesn't have a method, skip to the next one.
pass
else:
chosen_db = method(model, **hints)
if chosen_db:
return chosen_db
instance = hints.get("instance")
if instance is not None and instance._state.db:
return instance._state.db
return DEFAULT_DB_ALIAS
return _route_db
db_for_read = _router_func("db_for_read")
db_for_write = _router_func("db_for_write")
def allow_relation(self, obj1, obj2, **hints):
for router in self.routers:
try:
method = router.allow_relation
except AttributeError:
# If the router doesn't have a method, skip to the next one.
pass
else:
allow = method(obj1, obj2, **hints)
if allow is not None:
return allow
return obj1._state.db == obj2._state.db
def allow_migrate(self, db, app_label, **hints):
for router in self.routers:
try:
method = router.allow_migrate
except AttributeError:
# If the router doesn't have a method, skip to the next one.
continue
allow = method(db, app_label, **hints)
if allow is not None:
return allow
return True
def allow_migrate_model(self, db, model):
return self.allow_migrate(
db,
model._meta.app_label,
model_name=model._meta.model_name,
model=model,
)
def get_migratable_models(self, app_config, db, include_auto_created=False):
"""Return app models allowed to be migrated on provided db."""
models = app_config.get_models(include_auto_created=include_auto_created)
return [model for model in models if self.allow_migrate_model(db, model)]