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video/server/.venv/lib/python3.11/site-packages/sqlalchemy/dialects/postgresql/asyncpg.py
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Python

# dialects/postgresql/asyncpg.py
# Copyright (C) 2005-2026 the SQLAlchemy authors and contributors <see AUTHORS
# file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
# mypy: ignore-errors
r"""
.. dialect:: postgresql+asyncpg
:name: asyncpg
:dbapi: asyncpg
:connectstring: postgresql+asyncpg://user:password@host:port/dbname[?key=value&key=value...]
:url: https://magicstack.github.io/asyncpg/
The asyncpg dialect is SQLAlchemy's first Python asyncio dialect.
Using a special asyncio mediation layer, the asyncpg dialect is usable
as the backend for the :ref:`SQLAlchemy asyncio <asyncio_toplevel>`
extension package.
This dialect should normally be used only with the
:func:`_asyncio.create_async_engine` engine creation function::
from sqlalchemy.ext.asyncio import create_async_engine
engine = create_async_engine(
"postgresql+asyncpg://user:pass@hostname/dbname"
)
.. versionadded:: 1.4
.. note::
By default asyncpg does not decode the ``json`` and ``jsonb`` types and
returns them as strings. SQLAlchemy sets default type decoder for ``json``
and ``jsonb`` types using the python builtin ``json.loads`` function.
The json implementation used can be changed by setting the attribute
``json_deserializer`` when creating the engine with
:func:`create_engine` or :func:`create_async_engine`.
.. _asyncpg_multihost:
Multihost Connections
--------------------------
The asyncpg dialect features support for multiple fallback hosts in the
same way as that of the psycopg2 and psycopg dialects. The
syntax is the same,
using ``host=<host>:<port>`` combinations as additional query string arguments;
however, there is no default port, so all hosts must have a complete port number
present, otherwise an exception is raised::
engine = create_async_engine(
"postgresql+asyncpg://user:password@/dbname?host=HostA:5432&host=HostB:5432&host=HostC:5432"
)
For complete background on this syntax, see :ref:`psycopg2_multi_host`.
.. versionadded:: 2.0.18
.. seealso::
:ref:`psycopg2_multi_host`
.. _asyncpg_prepared_statement_cache:
Prepared Statement Cache
--------------------------
The asyncpg SQLAlchemy dialect makes use of ``asyncpg.connection.prepare()``
for all statements. The prepared statement objects are cached after
construction which appears to grant a 10% or more performance improvement for
statement invocation. The cache is on a per-DBAPI connection basis, which
means that the primary storage for prepared statements is within DBAPI
connections pooled within the connection pool. The size of this cache
defaults to 100 statements per DBAPI connection and may be adjusted using the
``prepared_statement_cache_size`` DBAPI argument (note that while this argument
is implemented by SQLAlchemy, it is part of the DBAPI emulation portion of the
asyncpg dialect, therefore is handled as a DBAPI argument, not a dialect
argument)::
engine = create_async_engine(
"postgresql+asyncpg://user:pass@hostname/dbname?prepared_statement_cache_size=500"
)
To disable the prepared statement cache, use a value of zero::
engine = create_async_engine(
"postgresql+asyncpg://user:pass@hostname/dbname?prepared_statement_cache_size=0"
)
.. versionadded:: 1.4.0b2 Added ``prepared_statement_cache_size`` for asyncpg.
.. warning:: The ``asyncpg`` database driver necessarily uses caches for
PostgreSQL type OIDs, which become stale when custom PostgreSQL datatypes
such as ``ENUM`` objects are changed via DDL operations. Additionally,
prepared statements themselves which are optionally cached by SQLAlchemy's
driver as described above may also become "stale" when DDL has been emitted
to the PostgreSQL database which modifies the tables or other objects
involved in a particular prepared statement.
The SQLAlchemy asyncpg dialect will invalidate these caches within its local
process when statements that represent DDL are emitted on a local
connection, but this is only controllable within a single Python process /
database engine. If DDL changes are made from other database engines
and/or processes, a running application may encounter asyncpg exceptions
``InvalidCachedStatementError`` and/or ``InternalServerError("cache lookup
failed for type <oid>")`` if it refers to pooled database connections which
operated upon the previous structures. The SQLAlchemy asyncpg dialect will
recover from these error cases when the driver raises these exceptions by
clearing its internal caches as well as those of the asyncpg driver in
response to them, but cannot prevent them from being raised in the first
place if the cached prepared statement or asyncpg type caches have gone
stale, nor can it retry the statement as the PostgreSQL transaction is
invalidated when these errors occur.
.. _asyncpg_prepared_statement_name:
Prepared Statement Name with PGBouncer
--------------------------------------
By default, asyncpg enumerates prepared statements in numeric order, which
can lead to errors if a name has already been taken for another prepared
statement. This issue can arise if your application uses database proxies
such as PgBouncer to handle connections. One possible workaround is to
use dynamic prepared statement names, which asyncpg now supports through
an optional ``name`` value for the statement name. This allows you to
generate your own unique names that won't conflict with existing ones.
To achieve this, you can provide a function that will be called every time
a prepared statement is prepared::
from uuid import uuid4
engine = create_async_engine(
"postgresql+asyncpg://user:pass@somepgbouncer/dbname",
poolclass=NullPool,
connect_args={
"prepared_statement_name_func": lambda: f"__asyncpg_{uuid4()}__",
},
)
.. seealso::
https://github.com/MagicStack/asyncpg/issues/837
https://github.com/sqlalchemy/sqlalchemy/issues/6467
.. warning:: When using PGBouncer, to prevent a buildup of useless prepared statements in
your application, it's important to use the :class:`.NullPool` pool
class, and to configure PgBouncer to use `DISCARD <https://www.postgresql.org/docs/current/sql-discard.html>`_
when returning connections. The DISCARD command is used to release resources held by the db connection,
including prepared statements. Without proper setup, prepared statements can
accumulate quickly and cause performance issues.
Disabling the PostgreSQL JIT to improve ENUM datatype handling
---------------------------------------------------------------
Asyncpg has an `issue <https://github.com/MagicStack/asyncpg/issues/727>`_ when
using PostgreSQL ENUM datatypes, where upon the creation of new database
connections, an expensive query may be emitted in order to retrieve metadata
regarding custom types which has been shown to negatively affect performance.
To mitigate this issue, the PostgreSQL "jit" setting may be disabled from the
client using this setting passed to :func:`_asyncio.create_async_engine`::
engine = create_async_engine(
"postgresql+asyncpg://user:password@localhost/tmp",
connect_args={"server_settings": {"jit": "off"}},
)
.. seealso::
https://github.com/MagicStack/asyncpg/issues/727
""" # noqa
from __future__ import annotations
from collections import deque
import decimal
import json as _py_json
import re
import time
from types import NoneType
from typing import Any
from typing import Awaitable
from typing import Callable
from typing import NoReturn
from typing import Optional
from typing import Protocol
from typing import Sequence
from typing import Tuple
from typing import TYPE_CHECKING
from . import json
from . import ranges
from .array import ARRAY as PGARRAY
from .base import _DECIMAL_TYPES
from .base import _FLOAT_TYPES
from .base import _INT_TYPES
from .base import ENUM
from .base import INTERVAL
from .base import OID
from .base import PGCompiler
from .base import PGDialect
from .base import PGExecutionContext
from .base import PGIdentifierPreparer
from .base import REGCLASS
from .base import REGCONFIG
from .bitstring import BitString
from .types import BIT
from .types import BYTEA
from .types import CITEXT
from ... import exc
from ... import util
from ...connectors.asyncio import AsyncAdapt_dbapi_connection
from ...connectors.asyncio import AsyncAdapt_dbapi_cursor
from ...connectors.asyncio import AsyncAdapt_dbapi_module
from ...connectors.asyncio import AsyncAdapt_dbapi_ss_cursor
from ...connectors.asyncio import AsyncAdapt_Error
from ...connectors.asyncio import AsyncAdapt_terminate
from ...engine import processors
from ...sql import sqltypes
from ...util.concurrency import await_
if TYPE_CHECKING:
from ...engine.interfaces import _DBAPICursorDescription
class AsyncpgARRAY(PGARRAY):
render_bind_cast = True
class AsyncpgString(sqltypes.String):
render_bind_cast = True
class AsyncpgREGCONFIG(REGCONFIG):
render_bind_cast = True
class AsyncpgTime(sqltypes.Time):
render_bind_cast = True
class AsyncpgBit(BIT):
render_bind_cast = True
def bind_processor(self, dialect):
asyncpg_BitString = dialect.dbapi.asyncpg.BitString
def to_bind(value):
if isinstance(value, str):
value = BitString(value)
value = asyncpg_BitString.from_int(int(value), len(value))
return value
return to_bind
def result_processor(self, dialect, coltype):
def to_result(value):
if value is not None:
value = BitString.from_int(value.to_int(), length=len(value))
return value
return to_result
class AsyncpgByteA(BYTEA):
render_bind_cast = True
class AsyncpgDate(sqltypes.Date):
render_bind_cast = True
class AsyncpgDateTime(sqltypes.DateTime):
render_bind_cast = True
class AsyncpgBoolean(sqltypes.Boolean):
render_bind_cast = True
class AsyncPgInterval(INTERVAL):
render_bind_cast = True
@classmethod
def adapt_emulated_to_native(cls, interval, **kw):
return AsyncPgInterval(precision=interval.second_precision)
class AsyncPgEnum(ENUM):
render_bind_cast = True
class AsyncpgInteger(sqltypes.Integer):
render_bind_cast = True
class AsyncpgSmallInteger(sqltypes.SmallInteger):
render_bind_cast = True
class AsyncpgBigInteger(sqltypes.BigInteger):
render_bind_cast = True
class AsyncpgJSONIndexType(sqltypes.JSON.JSONIndexType):
pass
class AsyncpgJSONIntIndexType(sqltypes.JSON.JSONIntIndexType):
__visit_name__ = "json_int_index"
render_bind_cast = True
class AsyncpgJSONStrIndexType(sqltypes.JSON.JSONStrIndexType):
__visit_name__ = "json_str_index"
render_bind_cast = True
class AsyncpgJSONPathType(json.JSONPathType):
def bind_processor(self, dialect):
def process(value):
if isinstance(value, str):
# If it's already a string assume that it's in json path
# format. This allows using cast with json paths literals
return value
elif value:
tokens = [str(elem) for elem in value]
return tokens
else:
return []
return process
class _AsyncpgNumericCommon(sqltypes.NumericCommon):
render_bind_cast = True
def bind_processor(self, dialect):
return None
def result_processor(self, dialect, coltype):
if self.asdecimal:
if coltype in _FLOAT_TYPES:
return processors.to_decimal_processor_factory(
decimal.Decimal, self._effective_decimal_return_scale
)
elif coltype in _DECIMAL_TYPES or coltype in _INT_TYPES:
# pg8000 returns Decimal natively for 1700
return None
else:
raise exc.InvalidRequestError(
"Unknown PG numeric type: %d" % coltype
)
else:
if coltype in _FLOAT_TYPES:
# pg8000 returns float natively for 701
return None
elif coltype in _DECIMAL_TYPES or coltype in _INT_TYPES:
return processors.to_float
else:
raise exc.InvalidRequestError(
"Unknown PG numeric type: %d" % coltype
)
class AsyncpgNumeric(_AsyncpgNumericCommon, sqltypes.Numeric):
pass
class AsyncpgFloat(_AsyncpgNumericCommon, sqltypes.Float):
pass
class AsyncpgREGCLASS(REGCLASS):
render_bind_cast = True
class AsyncpgOID(OID):
render_bind_cast = True
class AsyncpgCHAR(sqltypes.CHAR):
render_bind_cast = True
class _AsyncpgRange(ranges.AbstractSingleRangeImpl):
def bind_processor(self, dialect):
asyncpg_Range = dialect.dbapi.asyncpg.Range
def to_range(value):
if isinstance(value, ranges.Range):
value = asyncpg_Range(
value.lower,
value.upper,
lower_inc=value.bounds[0] == "[",
upper_inc=value.bounds[1] == "]",
empty=value.empty,
)
return value
return to_range
def result_processor(self, dialect, coltype):
def to_range(value):
if value is not None:
empty = value.isempty
value = ranges.Range(
value.lower,
value.upper,
bounds=f"{'[' if empty or value.lower_inc else '('}" # type: ignore # noqa: E501
f"{']' if not empty and value.upper_inc else ')'}",
empty=empty,
)
return value
return to_range
class _AsyncpgMultiRange(ranges.AbstractMultiRangeImpl):
def bind_processor(self, dialect):
asyncpg_Range = dialect.dbapi.asyncpg.Range
def to_range(value):
if isinstance(value, (str, NoneType)):
return value
def to_range(value):
if isinstance(value, ranges.Range):
value = asyncpg_Range(
value.lower,
value.upper,
lower_inc=value.bounds[0] == "[",
upper_inc=value.bounds[1] == "]",
empty=value.empty,
)
return value
return [to_range(element) for element in value]
return to_range
def result_processor(self, dialect, coltype):
def to_range_array(value):
def to_range(rvalue):
if rvalue is not None:
empty = rvalue.isempty
rvalue = ranges.Range(
rvalue.lower,
rvalue.upper,
bounds=f"{'[' if empty or rvalue.lower_inc else '('}" # type: ignore # noqa: E501
f"{']' if not empty and rvalue.upper_inc else ')'}",
empty=empty,
)
return rvalue
if value is not None:
value = ranges.MultiRange(to_range(elem) for elem in value)
return value
return to_range_array
class PGExecutionContext_asyncpg(PGExecutionContext):
def handle_dbapi_exception(self, e):
if isinstance(
e,
(
self.dialect.dbapi.InvalidCachedStatementError,
self.dialect.dbapi.InternalServerError,
),
):
self.dialect._invalidate_schema_cache()
def pre_exec(self):
if self.isddl:
self.dialect._invalidate_schema_cache()
self.cursor._invalidate_schema_cache_asof = (
self.dialect._invalidate_schema_cache_asof
)
if not self.compiled:
return
def create_server_side_cursor(self):
return self._dbapi_connection.cursor(server_side=True)
class PGCompiler_asyncpg(PGCompiler):
pass
class PGIdentifierPreparer_asyncpg(PGIdentifierPreparer):
pass
class _AsyncpgTransaction(Protocol):
async def start(self) -> None: ...
async def commit(self) -> None: ...
async def rollback(self) -> None: ...
class _AsyncpgConnection(Protocol):
async def executemany(
self, operation: Any, seq_of_parameters: Sequence[Tuple[Any, ...]]
) -> Any: ...
async def reload_schema_state(self) -> None: ...
async def prepare(
self, operation: Any, *, name: Optional[str] = None
) -> Any: ...
def is_closed(self) -> bool: ...
def transaction(
self,
*,
isolation: Optional[str] = None,
readonly: bool = False,
deferrable: bool = False,
) -> _AsyncpgTransaction: ...
def fetchrow(self, operation: str) -> Any: ...
async def close(self, timeout: int = ...) -> None: ...
def terminate(self) -> None: ...
class _AsyncpgCursor(Protocol):
def fetch(self, size: int) -> Any: ...
class AsyncAdapt_asyncpg_cursor(AsyncAdapt_dbapi_cursor):
__slots__ = (
"_description",
"_arraysize",
"_rowcount",
"_invalidate_schema_cache_asof",
)
_adapt_connection: AsyncAdapt_asyncpg_connection
_connection: _AsyncpgConnection
_cursor: Optional[_AsyncpgCursor]
_awaitable_cursor_close: bool = False
def __init__(self, adapt_connection: AsyncAdapt_asyncpg_connection):
self._adapt_connection = adapt_connection
self._connection = adapt_connection._connection
self._cursor = None
self._rows = deque()
self._description = None
self._arraysize = 1
self._rowcount = -1
self._invalidate_schema_cache_asof = 0
def _handle_exception(self, error):
self._adapt_connection._handle_exception(error)
async def _prepare_and_execute(self, operation, parameters):
adapt_connection = self._adapt_connection
async with adapt_connection._execute_mutex:
if adapt_connection._transaction is None:
await adapt_connection._start_transaction()
if parameters is None:
parameters = ()
try:
prepared_stmt, attributes = await adapt_connection._prepare(
operation, self._invalidate_schema_cache_asof
)
if attributes:
self._description = [
(
attr.name,
attr.type.oid,
None,
None,
None,
None,
None,
)
for attr in attributes
]
else:
self._description = None
if self.server_side:
self._cursor = await prepared_stmt.cursor(*parameters)
self._rowcount = -1
else:
self._rows = deque(await prepared_stmt.fetch(*parameters))
status = prepared_stmt.get_statusmsg()
reg = re.match(
r"(?:SELECT|UPDATE|DELETE|INSERT \d+) (\d+)",
status or "",
)
if reg:
self._rowcount = int(reg.group(1))
else:
self._rowcount = -1
except Exception as error:
self._handle_exception(error)
@property
def description(self) -> Optional[_DBAPICursorDescription]:
return self._description
@property
def rowcount(self) -> int:
return self._rowcount
@property
def arraysize(self) -> int:
return self._arraysize
@arraysize.setter
def arraysize(self, value: int) -> None:
self._arraysize = value
async def _executemany(self, operation, seq_of_parameters):
adapt_connection = self._adapt_connection
self._description = None
async with adapt_connection._execute_mutex:
await adapt_connection._check_type_cache_invalidation(
self._invalidate_schema_cache_asof
)
if adapt_connection._transaction is None:
await adapt_connection._start_transaction()
try:
return await self._connection.executemany(
operation, seq_of_parameters
)
except Exception as error:
self._handle_exception(error)
def execute(self, operation, parameters=None):
await_(self._prepare_and_execute(operation, parameters))
def executemany(self, operation, seq_of_parameters):
return await_(self._executemany(operation, seq_of_parameters))
def setinputsizes(self, *inputsizes):
raise NotImplementedError()
class AsyncAdapt_asyncpg_ss_cursor(
AsyncAdapt_dbapi_ss_cursor, AsyncAdapt_asyncpg_cursor
):
__slots__ = ("_rowbuffer",)
def __init__(self, adapt_connection):
super().__init__(adapt_connection)
self._rowbuffer = deque()
def close(self):
self._cursor = None
self._rowbuffer.clear()
def _buffer_rows(self):
assert self._cursor is not None
new_rows = await_(self._cursor.fetch(50))
self._rowbuffer.extend(new_rows)
def __aiter__(self):
return self
async def __anext__(self):
while True:
while self._rowbuffer:
yield self._rowbuffer.popleft()
self._buffer_rows()
if not self._rowbuffer:
break
def fetchone(self):
if not self._rowbuffer:
self._buffer_rows()
if not self._rowbuffer:
return None
return self._rowbuffer.popleft()
def fetchmany(self, size=None):
if size is None:
return self.fetchall()
if not self._rowbuffer:
self._buffer_rows()
assert self._cursor is not None
rb = self._rowbuffer
lb = len(rb)
if size > lb:
rb.extend(await_(self._cursor.fetch(size - lb)))
return [rb.popleft() for _ in range(min(size, len(rb)))]
def fetchall(self):
ret = list(self._rowbuffer)
ret.extend(await_(self._all()))
self._rowbuffer.clear()
return ret
async def _all(self):
rows = []
assert self._cursor is not None
# TODO: looks like we have to hand-roll some kind of batching here.
# hardcoding for the moment but this should be improved.
while True:
batch = await self._cursor.fetch(1000)
if batch:
rows.extend(batch)
continue
else:
break
return rows
def executemany(self, operation, seq_of_parameters):
raise NotImplementedError(
"server side cursor doesn't support executemany yet"
)
class AsyncAdapt_asyncpg_connection(
AsyncAdapt_terminate, AsyncAdapt_dbapi_connection
):
_cursor_cls = AsyncAdapt_asyncpg_cursor
_ss_cursor_cls = AsyncAdapt_asyncpg_ss_cursor
_connection: _AsyncpgConnection
_transaction: Optional[_AsyncpgTransaction]
__slots__ = (
"isolation_level",
"_isolation_setting",
"readonly",
"deferrable",
"_transaction",
"_prepared_statement_cache",
"_prepared_statement_name_func",
"_invalidate_schema_cache_asof",
)
def __init__(
self,
dbapi,
connection,
prepared_statement_cache_size=100,
prepared_statement_name_func=None,
):
super().__init__(dbapi, connection)
self.isolation_level = self._isolation_setting = None
self.readonly = False
self.deferrable = False
self._transaction = None
self._invalidate_schema_cache_asof = time.time()
if prepared_statement_cache_size:
self._prepared_statement_cache = util.LRUCache(
prepared_statement_cache_size
)
else:
self._prepared_statement_cache = None
if prepared_statement_name_func:
self._prepared_statement_name_func = prepared_statement_name_func
else:
self._prepared_statement_name_func = self._default_name_func
async def _check_type_cache_invalidation(self, invalidate_timestamp):
if invalidate_timestamp > self._invalidate_schema_cache_asof:
await self._connection.reload_schema_state()
self._invalidate_schema_cache_asof = invalidate_timestamp
async def _prepare(self, operation, invalidate_timestamp):
await self._check_type_cache_invalidation(invalidate_timestamp)
cache = self._prepared_statement_cache
if cache is None:
prepared_stmt = await self._connection.prepare(
operation, name=self._prepared_statement_name_func()
)
attributes = prepared_stmt.get_attributes()
return prepared_stmt, attributes
# asyncpg uses a type cache for the "attributes" which seems to go
# stale independently of the PreparedStatement itself, so place that
# collection in the cache as well.
if operation in cache:
prepared_stmt, attributes, cached_timestamp = cache[operation]
# preparedstatements themselves also go stale for certain DDL
# changes such as size of a VARCHAR changing, so there is also
# a cross-connection invalidation timestamp
if cached_timestamp > invalidate_timestamp:
return prepared_stmt, attributes
prepared_stmt = await self._connection.prepare(
operation, name=self._prepared_statement_name_func()
)
attributes = prepared_stmt.get_attributes()
cache[operation] = (prepared_stmt, attributes, time.time())
return prepared_stmt, attributes
@classmethod
def _handle_exception_no_connection(
cls, dbapi: Any, error: Exception
) -> NoReturn:
if not isinstance(error, AsyncAdapt_asyncpg_dbapi.Error):
exception_mapping = dbapi._asyncpg_error_translate
for super_ in type(error).__mro__:
if super_ in exception_mapping:
message = error.args[0]
translated_error = exception_mapping[super_](
message, error
)
raise translated_error from error
super()._handle_exception_no_connection(dbapi, error)
def _handle_exception(self, error: Exception) -> NoReturn:
if self._connection.is_closed():
self._transaction = None
super()._handle_exception(error)
@property
def autocommit(self):
return self.isolation_level == "autocommit"
@autocommit.setter
def autocommit(self, value):
if value:
self.isolation_level = "autocommit"
else:
self.isolation_level = self._isolation_setting
def ping(self):
try:
_ = await_(self._async_ping())
except Exception as error:
self._handle_exception(error)
async def _async_ping(self):
if self._transaction is None and self.isolation_level != "autocommit":
# create a transaction explicitly to support pgbouncer
# transaction mode. See #10226
tr = self._connection.transaction()
await tr.start()
try:
await self._connection.fetchrow(";")
finally:
await tr.rollback()
else:
await self._connection.fetchrow(";")
def set_isolation_level(self, level):
self.rollback()
self.isolation_level = self._isolation_setting = level
async def _start_transaction(self):
if self.isolation_level == "autocommit":
return
assert self._transaction is None
try:
transaction = self._connection.transaction(
isolation=self.isolation_level,
readonly=self.readonly,
deferrable=self.deferrable,
)
await transaction.start()
except Exception as error:
self._handle_exception(error)
else:
# only track the transaction once BEGIN has succeeded; a
# transaction that failed to start has nothing to roll back
self._transaction = transaction
async def _call_and_discard(self, fn: Callable[[], Awaitable[Any]]):
try:
await fn()
finally:
# if asyncpg fn was actually called, then whether or
# not it raised or succeeded, the transaction is done, discard it
self._transaction = None
def rollback(self):
if self._transaction is not None:
try:
await_(self._call_and_discard(self._transaction.rollback))
except Exception as error:
# don't dereference asyncpg transaction if we didn't
# actually try to call rollback() on it
self._handle_exception(error)
def commit(self):
if self._transaction is not None:
try:
await_(self._call_and_discard(self._transaction.commit))
except Exception as error:
# don't dereference asyncpg transaction if we didn't
# actually try to call commit() on it
self._handle_exception(error)
def close(self):
self.rollback()
await_(self._connection.close())
def _terminate_handled_exceptions(self):
return super()._terminate_handled_exceptions() + (
self.dbapi.asyncpg.PostgresError,
)
async def _terminate_graceful_close(self) -> None:
# timeout added in asyncpg 0.14.0 December 2017
await self._connection.close(timeout=2)
self._transaction = None
def _terminate_force_close(self) -> None:
self._connection.terminate()
self._transaction = None
@staticmethod
def _default_name_func():
return None
class AsyncAdapt_asyncpg_dbapi(AsyncAdapt_dbapi_module):
def __init__(self, asyncpg):
super().__init__(asyncpg)
self.asyncpg = asyncpg
self.paramstyle = "numeric_dollar"
def connect(self, *arg, **kw):
creator_fn = kw.pop("async_creator_fn", self.asyncpg.connect)
prepared_statement_cache_size = kw.pop(
"prepared_statement_cache_size", 100
)
prepared_statement_name_func = kw.pop(
"prepared_statement_name_func", None
)
return await_(
AsyncAdapt_asyncpg_connection.create(
self,
creator_fn(*arg, **kw),
prepared_statement_cache_size=prepared_statement_cache_size,
prepared_statement_name_func=prepared_statement_name_func,
)
)
class Error(AsyncAdapt_Error):
pgcode: str | None
sqlstate: str | None
detail: str | None
def __init__(self, message, error=None):
super().__init__(message, error)
self.detail = getattr(error, "detail", None)
self.pgcode = self.sqlstate = getattr(error, "sqlstate", None)
class Warning(AsyncAdapt_Error): # noqa
pass
class InterfaceError(Error):
pass
class DatabaseError(Error):
pass
class InternalError(DatabaseError):
pass
class OperationalError(DatabaseError):
pass
class ProgrammingError(DatabaseError):
pass
class IntegrityError(DatabaseError):
pass
class RestrictViolationError(IntegrityError):
pass
class NotNullViolationError(IntegrityError):
pass
class ForeignKeyViolationError(IntegrityError):
pass
class UniqueViolationError(IntegrityError):
pass
class CheckViolationError(IntegrityError):
pass
class ExclusionViolationError(IntegrityError):
pass
class DataError(DatabaseError):
pass
class NotSupportedError(DatabaseError):
pass
class InternalServerError(InternalError):
pass
class InternalClientError(InternalError):
pass
class InvalidCachedStatementError(NotSupportedError):
def __init__(self, message, error=None):
super().__init__(
message + " (SQLAlchemy asyncpg dialect will now invalidate "
"all prepared caches in response to this exception)",
)
# pep-249 datatype placeholders. As of SQLAlchemy 2.0 these aren't
# used, however the test suite looks for these in a few cases.
STRING = util.symbol("STRING")
NUMBER = util.symbol("NUMBER")
DATETIME = util.symbol("DATETIME")
@util.memoized_property
def _asyncpg_error_translate(self):
import asyncpg
return {
asyncpg.exceptions.IntegrityConstraintViolationError: self.IntegrityError, # noqa: E501
asyncpg.exceptions.PostgresError: self.Error,
asyncpg.exceptions.SyntaxOrAccessError: self.ProgrammingError,
asyncpg.exceptions.InterfaceError: self.InterfaceError,
asyncpg.exceptions.InvalidCachedStatementError: self.InvalidCachedStatementError, # noqa: E501
asyncpg.exceptions.InternalServerError: self.InternalServerError,
asyncpg.exceptions.RestrictViolationError: self.RestrictViolationError, # noqa: E501
asyncpg.exceptions.NotNullViolationError: self.NotNullViolationError, # noqa: E501
asyncpg.exceptions.ForeignKeyViolationError: self.ForeignKeyViolationError, # noqa: E501
asyncpg.exceptions.UniqueViolationError: self.UniqueViolationError,
asyncpg.exceptions.CheckViolationError: self.CheckViolationError,
asyncpg.exceptions.ExclusionViolationError: self.ExclusionViolationError, # noqa: E501
asyncpg.exceptions.InternalClientError: self.InternalClientError,
}
def Binary(self, value):
return value
class PGDialect_asyncpg(PGDialect):
driver = "asyncpg"
supports_statement_cache = True
supports_server_side_cursors = True
render_bind_cast = True
has_terminate = True
default_paramstyle = "numeric_dollar"
supports_sane_multi_rowcount = False
execution_ctx_cls = PGExecutionContext_asyncpg
statement_compiler = PGCompiler_asyncpg
preparer = PGIdentifierPreparer_asyncpg
supports_native_json_serialization = False
supports_native_json_deserialization = True
dialect_injects_custom_json_deserializer = True
colspecs = util.update_copy(
PGDialect.colspecs,
{
sqltypes.String: AsyncpgString,
sqltypes.ARRAY: AsyncpgARRAY,
BIT: AsyncpgBit,
CITEXT: CITEXT,
REGCONFIG: AsyncpgREGCONFIG,
sqltypes.Time: AsyncpgTime,
sqltypes.Date: AsyncpgDate,
sqltypes.DateTime: AsyncpgDateTime,
sqltypes.Interval: AsyncPgInterval,
INTERVAL: AsyncPgInterval,
sqltypes.Boolean: AsyncpgBoolean,
sqltypes.Integer: AsyncpgInteger,
sqltypes.SmallInteger: AsyncpgSmallInteger,
sqltypes.BigInteger: AsyncpgBigInteger,
sqltypes.Numeric: AsyncpgNumeric,
sqltypes.Float: AsyncpgFloat,
sqltypes.LargeBinary: AsyncpgByteA,
sqltypes.JSON.JSONPathType: AsyncpgJSONPathType,
sqltypes.JSON.JSONIndexType: AsyncpgJSONIndexType,
sqltypes.JSON.JSONIntIndexType: AsyncpgJSONIntIndexType,
sqltypes.JSON.JSONStrIndexType: AsyncpgJSONStrIndexType,
sqltypes.Enum: AsyncPgEnum,
OID: AsyncpgOID,
REGCLASS: AsyncpgREGCLASS,
sqltypes.CHAR: AsyncpgCHAR,
ranges.AbstractSingleRange: _AsyncpgRange,
ranges.AbstractMultiRange: _AsyncpgMultiRange,
},
)
is_async = True
_invalidate_schema_cache_asof = 0
def _invalidate_schema_cache(self):
self._invalidate_schema_cache_asof = time.time()
def retrieve_dbapi_version(self, dbapi):
# dbapi is the AsyncAdapt_asyncpg_dbapi wrapper; the version is on
# the asyncpg module itself, which is ``.driver``
driver = getattr(dbapi, "driver", None)
return util.parse_version_string(getattr(driver, "__version__", None))
@classmethod
def import_dbapi(cls):
return AsyncAdapt_asyncpg_dbapi(__import__("asyncpg"))
@util.memoized_property
def _isolation_lookup(self):
return {
"AUTOCOMMIT": "autocommit",
"READ COMMITTED": "read_committed",
"REPEATABLE READ": "repeatable_read",
"SERIALIZABLE": "serializable",
}
def get_isolation_level_values(self, dbapi_connection):
return list(self._isolation_lookup)
def set_isolation_level(self, dbapi_connection, level):
dbapi_connection.set_isolation_level(self._isolation_lookup[level])
def detect_autocommit_setting(self, dbapi_conn) -> bool:
return bool(dbapi_conn.autocommit)
def set_readonly(self, connection, value):
connection.readonly = value
def get_readonly(self, connection):
return connection.readonly
def set_deferrable(self, connection, value):
connection.deferrable = value
def get_deferrable(self, connection):
return connection.deferrable
def do_terminate(self, dbapi_connection) -> None:
dbapi_connection.terminate()
def create_connect_args(self, url):
opts = url.translate_connect_args(username="user")
multihosts, multiports = self._split_multihost_from_url(url)
opts.update(url.query)
if multihosts:
assert multiports
if len(multihosts) == 1:
opts["host"] = multihosts[0]
if multiports[0] is not None:
opts["port"] = multiports[0]
elif not all(multihosts):
raise exc.ArgumentError(
"All hosts are required to be present"
" for asyncpg multiple host URL"
)
elif not all(multiports):
raise exc.ArgumentError(
"All ports are required to be present"
" for asyncpg multiple host URL"
)
else:
opts["host"] = list(multihosts)
opts["port"] = list(multiports)
else:
util.coerce_kw_type(opts, "port", int)
util.coerce_kw_type(opts, "prepared_statement_cache_size", int)
return ([], opts)
def do_ping(self, dbapi_connection):
dbapi_connection.ping()
return True
def is_disconnect(self, e, connection, cursor):
if connection:
return connection._connection.is_closed()
else:
return isinstance(
e, self.dbapi.InterfaceError
) and "connection is closed" in str(e)
async def setup_asyncpg_json_codec(self, conn):
"""set up JSON codec for asyncpg.
This occurs for all new connections and
can be overridden by third party dialects.
.. versionadded:: 1.4.27
"""
asyncpg_connection = conn._connection
deserializer = self._json_deserializer or _py_json.loads
def _json_decoder(bin_value):
return deserializer(bin_value.decode())
await asyncpg_connection.set_type_codec(
"json",
encoder=str.encode,
decoder=_json_decoder,
schema="pg_catalog",
format="binary",
)
async def setup_asyncpg_jsonb_codec(self, conn):
"""set up JSONB codec for asyncpg.
This occurs for all new connections and
can be overridden by third party dialects.
.. versionadded:: 1.4.27
"""
asyncpg_connection = conn._connection
def _jsonb_encoder(str_value):
# \x01 is the prefix for jsonb used by PostgreSQL.
# asyncpg requires it when format='binary'
return b"\x01" + str_value.encode()
deserializer = self._json_deserializer or _py_json.loads
def _jsonb_decoder(bin_value):
# the byte is the \x01 prefix for jsonb used by PostgreSQL.
# asyncpg returns it when format='binary'
return deserializer(bin_value[1:].decode())
await asyncpg_connection.set_type_codec(
"jsonb",
encoder=_jsonb_encoder,
decoder=_jsonb_decoder,
schema="pg_catalog",
format="binary",
)
async def _disable_asyncpg_inet_codecs(self, conn):
asyncpg_connection = conn._connection
await asyncpg_connection.set_type_codec(
"inet",
encoder=lambda s: s,
decoder=lambda s: s,
schema="pg_catalog",
format="text",
)
await asyncpg_connection.set_type_codec(
"cidr",
encoder=lambda s: s,
decoder=lambda s: s,
schema="pg_catalog",
format="text",
)
def on_connect(self):
"""on_connect for asyncpg
A major component of this for asyncpg is to set up type decoders at the
asyncpg level.
See https://github.com/MagicStack/asyncpg/issues/623 for
notes on JSON/JSONB implementation.
"""
super_connect = super().on_connect()
def connect(conn):
await_(self.setup_asyncpg_json_codec(conn))
await_(self.setup_asyncpg_jsonb_codec(conn))
if self._native_inet_types is False:
await_(self._disable_asyncpg_inet_codecs(conn))
if super_connect is not None:
super_connect(conn)
return connect
def get_driver_connection(self, connection):
return connection._connection
dialect = PGDialect_asyncpg