mirror of https://github.com/morpheus65535/bazarr
130 lines
4.1 KiB
Python
130 lines
4.1 KiB
Python
# engine/mock.py
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# Copyright (C) 2005-2023 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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from __future__ import annotations
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from operator import attrgetter
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import typing
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from typing import Any
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from typing import Callable
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from typing import cast
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from typing import Optional
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from typing import Type
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from typing import Union
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from . import url as _url
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from .. import util
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if typing.TYPE_CHECKING:
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from .base import Engine
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from .interfaces import _CoreAnyExecuteParams
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from .interfaces import CoreExecuteOptionsParameter
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from .interfaces import Dialect
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from .url import URL
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from ..sql.base import Executable
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from ..sql.ddl import SchemaDropper
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from ..sql.ddl import SchemaGenerator
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from ..sql.schema import HasSchemaAttr
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from ..sql.schema import SchemaItem
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class MockConnection:
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def __init__(self, dialect: Dialect, execute: Callable[..., Any]):
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self._dialect = dialect
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self._execute_impl = execute
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engine: Engine = cast(Any, property(lambda s: s))
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dialect: Dialect = cast(Any, property(attrgetter("_dialect")))
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name: str = cast(Any, property(lambda s: s._dialect.name))
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def connect(self, **kwargs: Any) -> MockConnection:
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return self
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def schema_for_object(self, obj: HasSchemaAttr) -> Optional[str]:
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return obj.schema
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def execution_options(self, **kw: Any) -> MockConnection:
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return self
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def _run_ddl_visitor(
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self,
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visitorcallable: Type[Union[SchemaGenerator, SchemaDropper]],
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element: SchemaItem,
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**kwargs: Any,
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) -> None:
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kwargs["checkfirst"] = False
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visitorcallable(self.dialect, self, **kwargs).traverse_single(element)
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def execute(
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self,
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obj: Executable,
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parameters: Optional[_CoreAnyExecuteParams] = None,
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execution_options: Optional[CoreExecuteOptionsParameter] = None,
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) -> Any:
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return self._execute_impl(obj, parameters)
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def create_mock_engine(url: URL, executor: Any, **kw: Any) -> MockConnection:
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"""Create a "mock" engine used for echoing DDL.
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This is a utility function used for debugging or storing the output of DDL
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sequences as generated by :meth:`_schema.MetaData.create_all`
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and related methods.
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The function accepts a URL which is used only to determine the kind of
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dialect to be used, as well as an "executor" callable function which
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will receive a SQL expression object and parameters, which can then be
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echoed or otherwise printed. The executor's return value is not handled,
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nor does the engine allow regular string statements to be invoked, and
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is therefore only useful for DDL that is sent to the database without
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receiving any results.
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E.g.::
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from sqlalchemy import create_mock_engine
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def dump(sql, *multiparams, **params):
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print(sql.compile(dialect=engine.dialect))
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engine = create_mock_engine('postgresql+psycopg2://', dump)
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metadata.create_all(engine, checkfirst=False)
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:param url: A string URL which typically needs to contain only the
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database backend name.
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:param executor: a callable which receives the arguments ``sql``,
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``*multiparams`` and ``**params``. The ``sql`` parameter is typically
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an instance of :class:`.ExecutableDDLElement`, which can then be compiled
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into a string using :meth:`.ExecutableDDLElement.compile`.
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.. versionadded:: 1.4 - the :func:`.create_mock_engine` function replaces
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the previous "mock" engine strategy used with
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:func:`_sa.create_engine`.
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.. seealso::
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:ref:`faq_ddl_as_string`
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"""
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# create url.URL object
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u = _url.make_url(url)
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dialect_cls = u.get_dialect()
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dialect_args = {}
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# consume dialect arguments from kwargs
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for k in util.get_cls_kwargs(dialect_cls):
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if k in kw:
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dialect_args[k] = kw.pop(k)
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# create dialect
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dialect = dialect_cls(**dialect_args) # type: ignore
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return MockConnection(dialect, executor)
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