Загрузить файлы в «venv/Lib/site-packages/sqlalchemy/dialects/mssql»
This commit is contained in:
87
venv/Lib/site-packages/sqlalchemy/dialects/mssql/__init__.py
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87
venv/Lib/site-packages/sqlalchemy/dialects/mssql/__init__.py
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# dialects/mssql/__init__.py
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# Copyright (C) 2005-2026 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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from . import aioodbc # noqa
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from . import base # noqa
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from . import pymssql # noqa
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from . import pyodbc # noqa
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from .base import BIGINT
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from .base import BINARY
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from .base import BIT
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from .base import CHAR
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from .base import DATE
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from .base import DATETIME
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from .base import DATETIME2
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from .base import DATETIMEOFFSET
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from .base import DECIMAL
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from .base import DOUBLE_PRECISION
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from .base import FLOAT
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from .base import IMAGE
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from .base import INTEGER
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from .base import JSON
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from .base import MONEY
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from .base import NCHAR
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from .base import NTEXT
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from .base import NUMERIC
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from .base import NVARCHAR
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from .base import REAL
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from .base import ROWVERSION
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from .base import SMALLDATETIME
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from .base import SMALLINT
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from .base import SMALLMONEY
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from .base import SQL_VARIANT
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from .base import TEXT
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from .base import TIME
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from .base import TIMESTAMP
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from .base import TINYINT
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from .base import UNIQUEIDENTIFIER
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from .base import VARBINARY
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from .base import VARCHAR
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from .base import XML
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from ...sql import try_cast
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base.dialect = dialect = pyodbc.dialect
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__all__ = (
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"JSON",
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"INTEGER",
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"BIGINT",
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"SMALLINT",
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"TINYINT",
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"VARCHAR",
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"NVARCHAR",
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"CHAR",
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"NCHAR",
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"TEXT",
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"NTEXT",
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"DECIMAL",
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"NUMERIC",
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"FLOAT",
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"DATETIME",
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"DATETIME2",
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"DATETIMEOFFSET",
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"DATE",
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"DOUBLE_PRECISION",
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"TIME",
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"SMALLDATETIME",
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"BINARY",
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"VARBINARY",
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"BIT",
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"REAL",
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"IMAGE",
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"TIMESTAMP",
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"ROWVERSION",
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"MONEY",
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"SMALLMONEY",
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"UNIQUEIDENTIFIER",
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"SQL_VARIANT",
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"XML",
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"dialect",
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"try_cast",
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)
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63
venv/Lib/site-packages/sqlalchemy/dialects/mssql/aioodbc.py
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63
venv/Lib/site-packages/sqlalchemy/dialects/mssql/aioodbc.py
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# dialects/mssql/aioodbc.py
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# Copyright (C) 2005-2026 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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r"""
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.. dialect:: mssql+aioodbc
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:name: aioodbc
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:dbapi: aioodbc
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:connectstring: mssql+aioodbc://<username>:<password>@<dsnname>
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:url: https://pypi.org/project/aioodbc/
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Support for the SQL Server database in asyncio style, using the aioodbc
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driver which itself is a thread-wrapper around pyodbc.
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.. versionadded:: 2.0.23 Added the mssql+aioodbc dialect which builds
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on top of the pyodbc and general aio* dialect architecture.
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Using a special asyncio mediation layer, the aioodbc dialect is usable
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as the backend for the :ref:`SQLAlchemy asyncio <asyncio_toplevel>`
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extension package.
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Most behaviors and caveats for this driver are the same as that of the
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pyodbc dialect used on SQL Server; see :ref:`mssql_pyodbc` for general
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background.
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This dialect should normally be used only with the
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:func:`_asyncio.create_async_engine` engine creation function; connection
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styles are otherwise equivalent to those documented in the pyodbc section::
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from sqlalchemy.ext.asyncio import create_async_engine
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engine = create_async_engine(
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"mssql+aioodbc://scott:tiger@mssql2017:1433/test?"
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"driver=ODBC+Driver+18+for+SQL+Server&TrustServerCertificate=yes"
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)
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"""
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from __future__ import annotations
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from .pyodbc import MSDialect_pyodbc
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from .pyodbc import MSExecutionContext_pyodbc
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from ...connectors.aioodbc import aiodbcConnector
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class MSExecutionContext_aioodbc(MSExecutionContext_pyodbc):
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def create_server_side_cursor(self):
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return self._dbapi_connection.cursor(server_side=True)
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class MSDialectAsync_aioodbc(aiodbcConnector, MSDialect_pyodbc):
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driver = "aioodbc"
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supports_statement_cache = True
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execution_ctx_cls = MSExecutionContext_aioodbc
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dialect = MSDialectAsync_aioodbc
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4104
venv/Lib/site-packages/sqlalchemy/dialects/mssql/base.py
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4104
venv/Lib/site-packages/sqlalchemy/dialects/mssql/base.py
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# dialects/mssql/information_schema.py
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# Copyright (C) 2005-2026 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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from ... import cast
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from ... import Column
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from ... import MetaData
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from ... import Table
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from ...ext.compiler import compiles
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from ...sql import expression
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from ...types import Boolean
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from ...types import Integer
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from ...types import Numeric
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from ...types import NVARCHAR
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from ...types import String
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from ...types import TypeDecorator
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from ...types import Unicode
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ischema = MetaData()
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class CoerceUnicode(TypeDecorator):
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impl = Unicode
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cache_ok = True
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def bind_expression(self, bindvalue):
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return _cast_on_2005(bindvalue)
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class _cast_on_2005(expression.ColumnElement):
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def __init__(self, bindvalue):
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self.bindvalue = bindvalue
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@compiles(_cast_on_2005)
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def _compile(element, compiler, **kw):
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from . import base
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if (
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compiler.dialect.server_version_info is None
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or compiler.dialect.server_version_info < base.MS_2005_VERSION
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):
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return compiler.process(element.bindvalue, **kw)
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else:
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return compiler.process(cast(element.bindvalue, Unicode), **kw)
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schemata = Table(
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"SCHEMATA",
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ischema,
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Column("CATALOG_NAME", CoerceUnicode, key="catalog_name"),
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Column("SCHEMA_NAME", CoerceUnicode, key="schema_name"),
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Column("SCHEMA_OWNER", CoerceUnicode, key="schema_owner"),
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schema="INFORMATION_SCHEMA",
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)
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tables = Table(
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"TABLES",
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ischema,
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Column("TABLE_CATALOG", CoerceUnicode, key="table_catalog"),
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
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Column("TABLE_NAME", CoerceUnicode, key="table_name"),
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Column("TABLE_TYPE", CoerceUnicode, key="table_type"),
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schema="INFORMATION_SCHEMA",
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)
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columns = Table(
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"COLUMNS",
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ischema,
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
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Column("TABLE_NAME", CoerceUnicode, key="table_name"),
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Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
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Column("IS_NULLABLE", Integer, key="is_nullable"),
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Column("DATA_TYPE", String, key="data_type"),
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Column("ORDINAL_POSITION", Integer, key="ordinal_position"),
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Column(
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"CHARACTER_MAXIMUM_LENGTH", Integer, key="character_maximum_length"
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),
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Column("NUMERIC_PRECISION", Integer, key="numeric_precision"),
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Column("NUMERIC_SCALE", Integer, key="numeric_scale"),
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Column("COLUMN_DEFAULT", Integer, key="column_default"),
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Column("COLLATION_NAME", String, key="collation_name"),
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schema="INFORMATION_SCHEMA",
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)
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sys_columns = Table(
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"columns",
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ischema,
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Column("object_id", Integer),
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Column("name", CoerceUnicode),
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Column("column_id", Integer),
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Column("default_object_id", Integer),
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Column("user_type_id", Integer),
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Column("is_nullable", Integer),
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Column("ordinal_position", Integer),
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Column("max_length", Integer),
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Column("precision", Integer),
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Column("scale", Integer),
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Column("collation_name", String),
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schema="sys",
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)
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sys_types = Table(
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"types",
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ischema,
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Column("name", CoerceUnicode, key="name"),
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Column("system_type_id", Integer, key="system_type_id"),
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Column("user_type_id", Integer, key="user_type_id"),
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Column("schema_id", Integer, key="schema_id"),
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Column("max_length", Integer, key="max_length"),
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Column("precision", Integer, key="precision"),
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Column("scale", Integer, key="scale"),
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Column("collation_name", CoerceUnicode, key="collation_name"),
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Column("is_nullable", Boolean, key="is_nullable"),
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Column("is_user_defined", Boolean, key="is_user_defined"),
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Column("is_assembly_type", Boolean, key="is_assembly_type"),
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Column("default_object_id", Integer, key="default_object_id"),
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Column("rule_object_id", Integer, key="rule_object_id"),
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Column("is_table_type", Boolean, key="is_table_type"),
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schema="sys",
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)
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constraints = Table(
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"TABLE_CONSTRAINTS",
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ischema,
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
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Column("TABLE_NAME", CoerceUnicode, key="table_name"),
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Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
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Column("CONSTRAINT_TYPE", CoerceUnicode, key="constraint_type"),
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schema="INFORMATION_SCHEMA",
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)
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sys_default_constraints = Table(
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"default_constraints",
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ischema,
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Column("object_id", Integer),
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Column("name", CoerceUnicode),
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Column("schema_id", Integer),
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Column("parent_column_id", Integer),
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Column("definition", CoerceUnicode),
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schema="sys",
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)
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column_constraints = Table(
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"CONSTRAINT_COLUMN_USAGE",
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ischema,
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
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Column("TABLE_NAME", CoerceUnicode, key="table_name"),
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Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
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Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
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schema="INFORMATION_SCHEMA",
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)
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key_constraints = Table(
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"KEY_COLUMN_USAGE",
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ischema,
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
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Column("TABLE_NAME", CoerceUnicode, key="table_name"),
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Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
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Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
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Column("CONSTRAINT_SCHEMA", CoerceUnicode, key="constraint_schema"),
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Column("ORDINAL_POSITION", Integer, key="ordinal_position"),
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schema="INFORMATION_SCHEMA",
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)
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ref_constraints = Table(
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"REFERENTIAL_CONSTRAINTS",
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ischema,
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Column("CONSTRAINT_CATALOG", CoerceUnicode, key="constraint_catalog"),
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Column("CONSTRAINT_SCHEMA", CoerceUnicode, key="constraint_schema"),
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Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
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# TODO: is CATLOG misspelled ?
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Column(
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"UNIQUE_CONSTRAINT_CATLOG",
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CoerceUnicode,
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key="unique_constraint_catalog",
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),
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Column(
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"UNIQUE_CONSTRAINT_SCHEMA",
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CoerceUnicode,
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key="unique_constraint_schema",
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),
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Column(
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"UNIQUE_CONSTRAINT_NAME", CoerceUnicode, key="unique_constraint_name"
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),
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Column("MATCH_OPTION", String, key="match_option"),
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Column("UPDATE_RULE", String, key="update_rule"),
|
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Column("DELETE_RULE", String, key="delete_rule"),
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schema="INFORMATION_SCHEMA",
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)
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views = Table(
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"VIEWS",
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ischema,
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Column("TABLE_CATALOG", CoerceUnicode, key="table_catalog"),
|
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Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
|
||||
Column("TABLE_NAME", CoerceUnicode, key="table_name"),
|
||||
Column("VIEW_DEFINITION", CoerceUnicode, key="view_definition"),
|
||||
Column("CHECK_OPTION", String, key="check_option"),
|
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Column("IS_UPDATABLE", String, key="is_updatable"),
|
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schema="INFORMATION_SCHEMA",
|
||||
)
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computed_columns = Table(
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"computed_columns",
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ischema,
|
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Column("object_id", Integer),
|
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Column("name", CoerceUnicode),
|
||||
Column("column_id", Integer),
|
||||
Column("is_computed", Boolean),
|
||||
Column("is_persisted", Boolean),
|
||||
Column("definition", CoerceUnicode),
|
||||
schema="sys",
|
||||
)
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sequences = Table(
|
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"SEQUENCES",
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ischema,
|
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Column("SEQUENCE_CATALOG", CoerceUnicode, key="sequence_catalog"),
|
||||
Column("SEQUENCE_SCHEMA", CoerceUnicode, key="sequence_schema"),
|
||||
Column("SEQUENCE_NAME", CoerceUnicode, key="sequence_name"),
|
||||
schema="INFORMATION_SCHEMA",
|
||||
)
|
||||
|
||||
|
||||
class NumericSqlVariant(TypeDecorator):
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r"""This type casts sql_variant columns in the identity_columns view
|
||||
to numeric. This is required because:
|
||||
|
||||
* pyodbc does not support sql_variant
|
||||
* pymssql under python 2 return the byte representation of the number,
|
||||
int 1 is returned as "\x01\x00\x00\x00". On python 3 it returns the
|
||||
correct value as string.
|
||||
"""
|
||||
|
||||
impl = Unicode
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||||
cache_ok = True
|
||||
|
||||
def column_expression(self, colexpr):
|
||||
return cast(colexpr, Numeric(38, 0))
|
||||
|
||||
|
||||
identity_columns = Table(
|
||||
"identity_columns",
|
||||
ischema,
|
||||
Column("object_id", Integer),
|
||||
Column("name", CoerceUnicode),
|
||||
Column("column_id", Integer),
|
||||
Column("is_identity", Boolean),
|
||||
Column("seed_value", NumericSqlVariant),
|
||||
Column("increment_value", NumericSqlVariant),
|
||||
Column("last_value", NumericSqlVariant),
|
||||
Column("is_not_for_replication", Boolean),
|
||||
schema="sys",
|
||||
)
|
||||
|
||||
|
||||
class NVarcharSqlVariant(TypeDecorator):
|
||||
"""This type casts sql_variant columns in the extended_properties view
|
||||
to nvarchar. This is required because pyodbc does not support sql_variant
|
||||
"""
|
||||
|
||||
impl = Unicode
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||||
cache_ok = True
|
||||
|
||||
def column_expression(self, colexpr):
|
||||
return cast(colexpr, NVARCHAR)
|
||||
|
||||
|
||||
extended_properties = Table(
|
||||
"extended_properties",
|
||||
ischema,
|
||||
Column("class", Integer), # TINYINT
|
||||
Column("class_desc", CoerceUnicode),
|
||||
Column("major_id", Integer),
|
||||
Column("minor_id", Integer),
|
||||
Column("name", CoerceUnicode),
|
||||
Column("value", NVarcharSqlVariant),
|
||||
schema="sys",
|
||||
)
|
||||
129
venv/Lib/site-packages/sqlalchemy/dialects/mssql/json.py
Normal file
129
venv/Lib/site-packages/sqlalchemy/dialects/mssql/json.py
Normal file
@@ -0,0 +1,129 @@
|
||||
# dialects/mssql/json.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
|
||||
|
||||
from ... import types as sqltypes
|
||||
|
||||
# technically, all the dialect-specific datatypes that don't have any special
|
||||
# behaviors would be private with names like _MSJson. However, we haven't been
|
||||
# doing this for mysql.JSON or sqlite.JSON which both have JSON / JSONIndexType
|
||||
# / JSONPathType in their json.py files, so keep consistent with that
|
||||
# sub-convention for now. A future change can update them all to be
|
||||
# package-private at once.
|
||||
|
||||
|
||||
class JSON(sqltypes.JSON):
|
||||
"""MSSQL JSON type.
|
||||
|
||||
MSSQL supports JSON-formatted data as of SQL Server 2016.
|
||||
|
||||
The :class:`_mssql.JSON` datatype at the DDL level will represent the
|
||||
datatype as ``NVARCHAR(max)``, but provides for JSON-level comparison
|
||||
functions as well as Python coercion behavior.
|
||||
|
||||
:class:`_mssql.JSON` is used automatically whenever the base
|
||||
:class:`_types.JSON` datatype is used against a SQL Server backend.
|
||||
|
||||
.. seealso::
|
||||
|
||||
:class:`_types.JSON` - main documentation for the generic
|
||||
cross-platform JSON datatype.
|
||||
|
||||
The :class:`_mssql.JSON` type supports persistence of JSON values
|
||||
as well as the core index operations provided by :class:`_types.JSON`
|
||||
datatype, by adapting the operations to render the ``JSON_VALUE``
|
||||
or ``JSON_QUERY`` functions at the database level.
|
||||
|
||||
The SQL Server :class:`_mssql.JSON` type necessarily makes use of the
|
||||
``JSON_QUERY`` and ``JSON_VALUE`` functions when querying for elements
|
||||
of a JSON object. These two functions have a major restriction in that
|
||||
they are **mutually exclusive** based on the type of object to be returned.
|
||||
The ``JSON_QUERY`` function **only** returns a JSON dictionary or list,
|
||||
but not an individual string, numeric, or boolean element; the
|
||||
``JSON_VALUE`` function **only** returns an individual string, numeric,
|
||||
or boolean element. **both functions either return NULL or raise
|
||||
an error if they are not used against the correct expected value**.
|
||||
|
||||
To handle this awkward requirement, indexed access rules are as follows:
|
||||
|
||||
1. When extracting a sub element from a JSON that is itself a JSON
|
||||
dictionary or list, the :meth:`_types.JSON.Comparator.as_json` accessor
|
||||
should be used::
|
||||
|
||||
stmt = select(data_table.c.data["some key"].as_json()).where(
|
||||
data_table.c.data["some key"].as_json() == {"sub": "structure"}
|
||||
)
|
||||
|
||||
2. When extracting a sub element from a JSON that is a plain boolean,
|
||||
string, integer, or float, use the appropriate method among
|
||||
:meth:`_types.JSON.Comparator.as_boolean`,
|
||||
:meth:`_types.JSON.Comparator.as_string`,
|
||||
:meth:`_types.JSON.Comparator.as_integer`,
|
||||
:meth:`_types.JSON.Comparator.as_float`::
|
||||
|
||||
stmt = select(data_table.c.data["some key"].as_string()).where(
|
||||
data_table.c.data["some key"].as_string() == "some string"
|
||||
)
|
||||
|
||||
.. versionadded:: 1.4
|
||||
|
||||
|
||||
"""
|
||||
|
||||
# note there was a result processor here that was looking for "number",
|
||||
# but none of the tests seem to exercise it.
|
||||
|
||||
|
||||
# Note: these objects currently match exactly those of MySQL, however since
|
||||
# these are not generalizable to all JSON implementations, remain separately
|
||||
# implemented for each dialect.
|
||||
class _FormatTypeMixin:
|
||||
def _format_value(self, value):
|
||||
raise NotImplementedError()
|
||||
|
||||
def bind_processor(self, dialect):
|
||||
super_proc = self.string_bind_processor(dialect)
|
||||
|
||||
def process(value):
|
||||
value = self._format_value(value)
|
||||
if super_proc:
|
||||
value = super_proc(value)
|
||||
return value
|
||||
|
||||
return process
|
||||
|
||||
def literal_processor(self, dialect):
|
||||
super_proc = self.string_literal_processor(dialect)
|
||||
|
||||
def process(value):
|
||||
value = self._format_value(value)
|
||||
if super_proc:
|
||||
value = super_proc(value)
|
||||
return value
|
||||
|
||||
return process
|
||||
|
||||
|
||||
class JSONIndexType(_FormatTypeMixin, sqltypes.JSON.JSONIndexType):
|
||||
def _format_value(self, value):
|
||||
if isinstance(value, int):
|
||||
value = "$[%s]" % value
|
||||
else:
|
||||
value = '$."%s"' % value
|
||||
return value
|
||||
|
||||
|
||||
class JSONPathType(_FormatTypeMixin, sqltypes.JSON.JSONPathType):
|
||||
def _format_value(self, value):
|
||||
return "$%s" % (
|
||||
"".join(
|
||||
[
|
||||
"[%s]" % elem if isinstance(elem, int) else '."%s"' % elem
|
||||
for elem in value
|
||||
]
|
||||
)
|
||||
)
|
||||
Reference in New Issue
Block a user