Team Ai
Datasetpublic

codekingpro/portable-devtools

sourceHugging Faceupdated 5mo agoView on Hugging Face
1likes14kdownloads
psycopg2.py877 linesDownload Raw Back to postgresql
1# dialects/postgresql/psycopg2.py
2# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
3# <see AUTHORS file>
4#
5# This module is part of SQLAlchemy and is released under
6# the MIT License: https://www.opensource.org/licenses/mit-license.php
7# mypy: ignore-errors
8
9r"""
10.. dialect:: postgresql+psycopg2
11    :name: psycopg2
12    :dbapi: psycopg2
13    :connectstring: postgresql+psycopg2://user:password@host:port/dbname[?key=value&key=value...]
14    :url: https://pypi.org/project/psycopg2/
15
16.. _psycopg2_toplevel:
17
18psycopg2 Connect Arguments
19--------------------------
20
21Keyword arguments that are specific to the SQLAlchemy psycopg2 dialect
22may be passed to :func:`_sa.create_engine()`, and include the following:
23
24
25* ``isolation_level``: This option, available for all PostgreSQL dialects,
26  includes the ``AUTOCOMMIT`` isolation level when using the psycopg2
27  dialect.   This option sets the **default** isolation level for the
28  connection that is set immediately upon connection to the database before
29  the connection is pooled.  This option is generally superseded by the more
30  modern :paramref:`_engine.Connection.execution_options.isolation_level`
31  execution option, detailed at :ref:`dbapi_autocommit`.
32
33  .. seealso::
34
35    :ref:`psycopg2_isolation_level`
36
37    :ref:`dbapi_autocommit`
38
39
40* ``client_encoding``: sets the client encoding in a libpq-agnostic way,
41  using psycopg2's ``set_client_encoding()`` method.
42
43  .. seealso::
44
45    :ref:`psycopg2_unicode`
46
47
48* ``executemany_mode``, ``executemany_batch_page_size``,
49  ``executemany_values_page_size``: Allows use of psycopg2
50  extensions for optimizing "executemany"-style queries.  See the referenced
51  section below for details.
52
53  .. seealso::
54
55    :ref:`psycopg2_executemany_mode`
56
57.. tip::
58
59    The above keyword arguments are **dialect** keyword arguments, meaning
60    that they are passed as explicit keyword arguments to :func:`_sa.create_engine()`::
61
62        engine = create_engine(
63            "postgresql+psycopg2://scott:tiger@localhost/test",
64            isolation_level="SERIALIZABLE",
65        )
66
67    These should not be confused with **DBAPI** connect arguments, which
68    are passed as part of the :paramref:`_sa.create_engine.connect_args`
69    dictionary and/or are passed in the URL query string, as detailed in
70    the section :ref:`custom_dbapi_args`.
71
72.. _psycopg2_ssl:
73
74SSL Connections
75---------------
76
77The psycopg2 module has a connection argument named ``sslmode`` for
78controlling its behavior regarding secure (SSL) connections. The default is
79``sslmode=prefer``; it will attempt an SSL connection and if that fails it
80will fall back to an unencrypted connection. ``sslmode=require`` may be used
81to ensure that only secure connections are established.  Consult the
82psycopg2 / libpq documentation for further options that are available.
83
84Note that ``sslmode`` is specific to psycopg2 so it is included in the
85connection URI::
86
87    engine = sa.create_engine(
88        "postgresql+psycopg2://scott:tiger@192.168.0.199:5432/test?sslmode=require"
89    )
90
91
92Unix Domain Connections
93------------------------
94
95psycopg2 supports connecting via Unix domain connections.   When the ``host``
96portion of the URL is omitted, SQLAlchemy passes ``None`` to psycopg2,
97which specifies Unix-domain communication rather than TCP/IP communication::
98
99    create_engine("postgresql+psycopg2://user:password@/dbname")
100
101By default, the socket file used is to connect to a Unix-domain socket
102in ``/tmp``, or whatever socket directory was specified when PostgreSQL
103was built.  This value can be overridden by passing a pathname to psycopg2,
104using ``host`` as an additional keyword argument::
105
106    create_engine("postgresql+psycopg2://user:password@/dbname?host=/var/lib/postgresql")
107
108.. warning::  The format accepted here allows for a hostname in the main URL
109   in addition to the "host" query string argument.  **When using this URL
110   format, the initial host is silently ignored**.  That is, this URL::
111
112        engine = create_engine("postgresql+psycopg2://user:password@myhost1/dbname?host=myhost2")
113
114   Above, the hostname ``myhost1`` is **silently ignored and discarded.**  The
115   host which is connected is the ``myhost2`` host.
116
117   This is to maintain some degree of compatibility with PostgreSQL's own URL
118   format which has been tested to behave the same way and for which tools like
119   PifPaf hardcode two hostnames.
120
121.. seealso::
122
123    `PQconnectdbParams \
124    <https://www.postgresql.org/docs/current/static/libpq-connect.html#LIBPQ-PQCONNECTDBPARAMS>`_
125
126.. _psycopg2_multi_host:
127
128Specifying multiple fallback hosts
129-----------------------------------
130
131psycopg2 supports multiple connection points in the connection string.
132When the ``host`` parameter is used multiple times in the query section of
133the URL, SQLAlchemy will create a single string of the host and port
134information provided to make the connections.  Tokens may consist of
135``host::port`` or just ``host``; in the latter case, the default port
136is selected by libpq.  In the example below, three host connections
137are specified, for ``HostA::PortA``, ``HostB`` connecting to the default port,
138and ``HostC::PortC``::
139
140    create_engine(
141        "postgresql+psycopg2://user:password@/dbname?host=HostA:PortA&host=HostB&host=HostC:PortC"
142    )
143
144As an alternative, libpq query string format also may be used; this specifies
145``host`` and ``port`` as single query string arguments with comma-separated
146lists - the default port can be chosen by indicating an empty value
147in the comma separated list::
148
149    create_engine(
150        "postgresql+psycopg2://user:password@/dbname?host=HostA,HostB,HostC&port=PortA,,PortC"
151    )
152
153With either URL style, connections to each host is attempted based on a
154configurable strategy, which may be configured using the libpq
155``target_session_attrs`` parameter.  Per libpq this defaults to ``any``
156which indicates a connection to each host is then attempted until a connection is successful.
157Other strategies include ``primary``, ``prefer-standby``, etc.  The complete
158list is documented by PostgreSQL at
159`libpq connection strings <https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING>`_.
160
161For example, to indicate two hosts using the ``primary`` strategy::
162
163    create_engine(
164        "postgresql+psycopg2://user:password@/dbname?host=HostA:PortA&host=HostB&host=HostC:PortC&target_session_attrs=primary"
165    )
166
167.. versionchanged:: 1.4.40 Port specification in psycopg2 multiple host format
168   is repaired, previously ports were not correctly interpreted in this context.
169   libpq comma-separated format is also now supported.
170
171.. versionadded:: 1.3.20 Support for multiple hosts in PostgreSQL connection
172   string.
173
174.. seealso::
175
176    `libpq connection strings <https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING>`_ - please refer
177    to this section in the libpq documentation for complete background on multiple host support.
178
179
180Empty DSN Connections / Environment Variable Connections
181---------------------------------------------------------
182
183The psycopg2 DBAPI can connect to PostgreSQL by passing an empty DSN to the
184libpq client library, which by default indicates to connect to a localhost
185PostgreSQL database that is open for "trust" connections.  This behavior can be
186further tailored using a particular set of environment variables which are
187prefixed with ``PG_...``, which are  consumed by ``libpq`` to take the place of
188any or all elements of the connection string.
189
190For this form, the URL can be passed without any elements other than the
191initial scheme::
192
193    engine = create_engine('postgresql+psycopg2://')
194
195In the above form, a blank "dsn" string is passed to the ``psycopg2.connect()``
196function which in turn represents an empty DSN passed to libpq.
197
198.. versionadded:: 1.3.2 support for parameter-less connections with psycopg2.
199
200.. seealso::
201
202    `Environment Variables\
203    <https://www.postgresql.org/docs/current/libpq-envars.html>`_ -
204    PostgreSQL documentation on how to use ``PG_...``
205    environment variables for connections.
206
207.. _psycopg2_execution_options:
208
209Per-Statement/Connection Execution Options
210-------------------------------------------
211
212The following DBAPI-specific options are respected when used with
213:meth:`_engine.Connection.execution_options`,
214:meth:`.Executable.execution_options`,
215:meth:`_query.Query.execution_options`,
216in addition to those not specific to DBAPIs:
217
218* ``isolation_level`` - Set the transaction isolation level for the lifespan
219  of a :class:`_engine.Connection` (can only be set on a connection,
220  not a statement
221  or query).   See :ref:`psycopg2_isolation_level`.
222
223* ``stream_results`` - Enable or disable usage of psycopg2 server side
224  cursors - this feature makes use of "named" cursors in combination with
225  special result handling methods so that result rows are not fully buffered.
226  Defaults to False, meaning cursors are buffered by default.
227
228* ``max_row_buffer`` - when using ``stream_results``, an integer value that
229  specifies the maximum number of rows to buffer at a time.  This is
230  interpreted by the :class:`.BufferedRowCursorResult`, and if omitted the
231  buffer will grow to ultimately store 1000 rows at a time.
232
233  .. versionchanged:: 1.4  The ``max_row_buffer`` size can now be greater than
234     1000, and the buffer will grow to that size.
235
236.. _psycopg2_batch_mode:
237
238.. _psycopg2_executemany_mode:
239
240Psycopg2 Fast Execution Helpers
241-------------------------------
242
243Modern versions of psycopg2 include a feature known as
244`Fast Execution Helpers \
245<https://www.psycopg.org/docs/extras.html#fast-execution-helpers>`_, which
246have been shown in benchmarking to improve psycopg2's executemany()
247performance, primarily with INSERT statements, by at least
248an order of magnitude.
249
250SQLAlchemy implements a native form of the "insert many values"
251handler that will rewrite a single-row INSERT statement to accommodate for
252many values at once within an extended VALUES clause; this handler is
253equivalent to psycopg2's ``execute_values()`` handler; an overview of this
254feature and its configuration are at :ref:`engine_insertmanyvalues`.
255
256.. versionadded:: 2.0 Replaced psycopg2's ``execute_values()`` fast execution
257   helper with a native SQLAlchemy mechanism known as
258   :ref:`insertmanyvalues <engine_insertmanyvalues>`.
259
260The psycopg2 dialect retains the ability to use the psycopg2-specific
261``execute_batch()`` feature, although it is not expected that this is a widely
262used feature.  The use of this extension may be enabled using the
263``executemany_mode`` flag which may be passed to :func:`_sa.create_engine`::
264
265    engine = create_engine(
266        "postgresql+psycopg2://scott:tiger@host/dbname",
267        executemany_mode='values_plus_batch')
268
269
270Possible options for ``executemany_mode`` include:
271
272* ``values_only`` - this is the default value.  SQLAlchemy's native
273  :ref:`insertmanyvalues <engine_insertmanyvalues>` handler is used for qualifying
274  INSERT statements, assuming
275  :paramref:`_sa.create_engine.use_insertmanyvalues` is left at
276  its default value of ``True``.  This handler rewrites simple
277  INSERT statements to include multiple VALUES clauses so that many
278  parameter sets can be inserted with one statement.
279
280* ``'values_plus_batch'``- SQLAlchemy's native
281  :ref:`insertmanyvalues <engine_insertmanyvalues>` handler is used for qualifying
282  INSERT statements, assuming
283  :paramref:`_sa.create_engine.use_insertmanyvalues` is left at its default
284  value of ``True``. Then, psycopg2's ``execute_batch()`` handler is used for
285  qualifying UPDATE and DELETE statements when executed with multiple parameter
286  sets. When using this mode, the :attr:`_engine.CursorResult.rowcount`
287  attribute will not contain a value for executemany-style executions against
288  UPDATE and DELETE statements.
289
290.. versionchanged:: 2.0 Removed the ``'batch'`` and ``'None'`` options
291   from psycopg2 ``executemany_mode``.  Control over batching for INSERT
292   statements is now configured via the
293   :paramref:`_sa.create_engine.use_insertmanyvalues` engine-level parameter.
294
295The term "qualifying statements" refers to the statement being executed
296being a Core :func:`_expression.insert`, :func:`_expression.update`
297or :func:`_expression.delete` construct, and **not** a plain textual SQL
298string or one constructed using :func:`_expression.text`.  It also may **not** be
299a special "extension" statement such as an "ON CONFLICT" "upsert" statement.
300When using the ORM, all insert/update/delete statements used by the ORM flush process
301are qualifying.
302
303The "page size" for the psycopg2 "batch" strategy can be affected
304by using the ``executemany_batch_page_size`` parameter, which defaults to
305100.
306
307For the "insertmanyvalues" feature, the page size can be controlled using the
308:paramref:`_sa.create_engine.insertmanyvalues_page_size` parameter,
309which defaults to 1000.  An example of modifying both parameters
310is below::
311
312    engine = create_engine(
313        "postgresql+psycopg2://scott:tiger@host/dbname",
314        executemany_mode='values_plus_batch',
315        insertmanyvalues_page_size=5000, executemany_batch_page_size=500)
316
317.. seealso::
318
319    :ref:`engine_insertmanyvalues` - background on "insertmanyvalues"
320
321    :ref:`tutorial_multiple_parameters` - General information on using the
322    :class:`_engine.Connection`
323    object to execute statements in such a way as to make
324    use of the DBAPI ``.executemany()`` method.
325
326
327.. _psycopg2_unicode:
328
329Unicode with Psycopg2
330----------------------
331
332The psycopg2 DBAPI driver supports Unicode data transparently.
333
334The client character encoding can be controlled for the psycopg2 dialect
335in the following ways:
336
337* For PostgreSQL 9.1 and above, the ``client_encoding`` parameter may be
338  passed in the database URL; this parameter is consumed by the underlying
339  ``libpq`` PostgreSQL client library::
340
341    engine = create_engine("postgresql+psycopg2://user:pass@host/dbname?client_encoding=utf8")
342
343  Alternatively, the above ``client_encoding`` value may be passed using
344  :paramref:`_sa.create_engine.connect_args` for programmatic establishment with
345  ``libpq``::
346
347    engine = create_engine(
348        "postgresql+psycopg2://user:pass@host/dbname",
349        connect_args={'client_encoding': 'utf8'}
350    )
351
352* For all PostgreSQL versions, psycopg2 supports a client-side encoding
353  value that will be passed to database connections when they are first
354  established.  The SQLAlchemy psycopg2 dialect supports this using the
355  ``client_encoding`` parameter passed to :func:`_sa.create_engine`::
356
357      engine = create_engine(
358          "postgresql+psycopg2://user:pass@host/dbname",
359          client_encoding="utf8"
360      )
361
362  .. tip:: The above ``client_encoding`` parameter admittedly is very similar
363      in appearance to usage of the parameter within the
364      :paramref:`_sa.create_engine.connect_args` dictionary; the difference
365      above is that the parameter is consumed by psycopg2 and is
366      passed to the database connection using ``SET client_encoding TO
367      'utf8'``; in the previously mentioned style, the parameter is instead
368      passed through psycopg2 and consumed by the ``libpq`` library.
369
370* A common way to set up client encoding with PostgreSQL databases is to
371  ensure it is configured within the server-side postgresql.conf file;
372  this is the recommended way to set encoding for a server that is
373  consistently of one encoding in all databases::
374
375    # postgresql.conf file
376
377    # client_encoding = sql_ascii # actually, defaults to database
378                                 # encoding
379    client_encoding = utf8
380
381
382
383Transactions
384------------
385
386The psycopg2 dialect fully supports SAVEPOINT and two-phase commit operations.
387
388.. _psycopg2_isolation_level:
389
390Psycopg2 Transaction Isolation Level
391-------------------------------------
392
393As discussed in :ref:`postgresql_isolation_level`,
394all PostgreSQL dialects support setting of transaction isolation level
395both via the ``isolation_level`` parameter passed to :func:`_sa.create_engine`
396,
397as well as the ``isolation_level`` argument used by
398:meth:`_engine.Connection.execution_options`.  When using the psycopg2 dialect
399, these
400options make use of psycopg2's ``set_isolation_level()`` connection method,
401rather than emitting a PostgreSQL directive; this is because psycopg2's
402API-level setting is always emitted at the start of each transaction in any
403case.
404
405The psycopg2 dialect supports these constants for isolation level:
406
407* ``READ COMMITTED``
408* ``READ UNCOMMITTED``
409* ``REPEATABLE READ``
410* ``SERIALIZABLE``
411* ``AUTOCOMMIT``
412
413.. seealso::
414
415    :ref:`postgresql_isolation_level`
416
417    :ref:`pg8000_isolation_level`
418
419
420NOTICE logging
421---------------
422
423The psycopg2 dialect will log PostgreSQL NOTICE messages
424via the ``sqlalchemy.dialects.postgresql`` logger.  When this logger
425is set to the ``logging.INFO`` level, notice messages will be logged::
426
427    import logging
428
429    logging.getLogger('sqlalchemy.dialects.postgresql').setLevel(logging.INFO)
430
431Above, it is assumed that logging is configured externally.  If this is not
432the case, configuration such as ``logging.basicConfig()`` must be utilized::
433
434    import logging
435
436    logging.basicConfig()   # log messages to stdout
437    logging.getLogger('sqlalchemy.dialects.postgresql').setLevel(logging.INFO)
438
439.. seealso::
440
441    `Logging HOWTO <https://docs.python.org/3/howto/logging.html>`_ - on the python.org website
442
443.. _psycopg2_hstore:
444
445HSTORE type
446------------
447
448The ``psycopg2`` DBAPI includes an extension to natively handle marshalling of
449the HSTORE type.   The SQLAlchemy psycopg2 dialect will enable this extension
450by default when psycopg2 version 2.4 or greater is used, and
451it is detected that the target database has the HSTORE type set up for use.
452In other words, when the dialect makes the first
453connection, a sequence like the following is performed:
454
4551. Request the available HSTORE oids using
456   ``psycopg2.extras.HstoreAdapter.get_oids()``.
457   If this function returns a list of HSTORE identifiers, we then determine
458   that the ``HSTORE`` extension is present.
459   This function is **skipped** if the version of psycopg2 installed is
460   less than version 2.4.
461
4622. If the ``use_native_hstore`` flag is at its default of ``True``, and
463   we've detected that ``HSTORE`` oids are available, the
464   ``psycopg2.extensions.register_hstore()`` extension is invoked for all
465   connections.
466
467The ``register_hstore()`` extension has the effect of **all Python
468dictionaries being accepted as parameters regardless of the type of target
469column in SQL**. The dictionaries are converted by this extension into a
470textual HSTORE expression.  If this behavior is not desired, disable the
471use of the hstore extension by setting ``use_native_hstore`` to ``False`` as
472follows::
473
474    engine = create_engine("postgresql+psycopg2://scott:tiger@localhost/test",
475                use_native_hstore=False)
476
477The ``HSTORE`` type is **still supported** when the
478``psycopg2.extensions.register_hstore()`` extension is not used.  It merely
479means that the coercion between Python dictionaries and the HSTORE
480string format, on both the parameter side and the result side, will take
481place within SQLAlchemy's own marshalling logic, and not that of ``psycopg2``
482which may be more performant.
483
484"""  # noqa
485from __future__ import annotations
486
487import collections.abc as collections_abc
488import logging
489import re
490from typing import cast
491
492from . import ranges
493from ._psycopg_common import _PGDialect_common_psycopg
494from ._psycopg_common import _PGExecutionContext_common_psycopg
495from .base import PGIdentifierPreparer
496from .json import JSON
497from .json import JSONB
498from ... import types as sqltypes
499from ... import util
500from ...util import FastIntFlag
501from ...util import parse_user_argument_for_enum
502
503logger = logging.getLogger("sqlalchemy.dialects.postgresql")
504
505
506class _PGJSON(JSON):
507    def result_processor(self, dialect, coltype):
508        return None
509
510
511class _PGJSONB(JSONB):
512    def result_processor(self, dialect, coltype):
513        return None
514
515
516class _Psycopg2Range(ranges.AbstractSingleRangeImpl):
517    _psycopg2_range_cls = "none"
518
519    def bind_processor(self, dialect):
520        psycopg2_Range = getattr(
521            cast(PGDialect_psycopg2, dialect)._psycopg2_extras,
522            self._psycopg2_range_cls,
523        )
524
525        def to_range(value):
526            if isinstance(value, ranges.Range):
527                value = psycopg2_Range(
528                    value.lower, value.upper, value.bounds, value.empty
529                )
530            return value
531
532        return to_range
533
534    def result_processor(self, dialect, coltype):
535        def to_range(value):
536            if value is not None:
537                value = ranges.Range(
538                    value._lower,
539                    value._upper,
540                    bounds=value._bounds if value._bounds else "[)",
541                    empty=not value._bounds,
542                )
543            return value
544
545        return to_range
546
547
548class _Psycopg2NumericRange(_Psycopg2Range):
549    _psycopg2_range_cls = "NumericRange"
550
551
552class _Psycopg2DateRange(_Psycopg2Range):
553    _psycopg2_range_cls = "DateRange"
554
555
556class _Psycopg2DateTimeRange(_Psycopg2Range):
557    _psycopg2_range_cls = "DateTimeRange"
558
559
560class _Psycopg2DateTimeTZRange(_Psycopg2Range):
561    _psycopg2_range_cls = "DateTimeTZRange"
562
563
564class PGExecutionContext_psycopg2(_PGExecutionContext_common_psycopg):
565    _psycopg2_fetched_rows = None
566
567    def post_exec(self):
568        self._log_notices(self.cursor)
569
570    def _log_notices(self, cursor):
571        # check also that notices is an iterable, after it's already
572        # established that we will be iterating through it.  This is to get
573        # around test suites such as SQLAlchemy's using a Mock object for
574        # cursor
575        if not cursor.connection.notices or not isinstance(
576            cursor.connection.notices, collections_abc.Iterable
577        ):
578            return
579
580        for notice in cursor.connection.notices:
581            # NOTICE messages have a
582            # newline character at the end
583            logger.info(notice.rstrip())
584
585        cursor.connection.notices[:] = []
586
587
588class PGIdentifierPreparer_psycopg2(PGIdentifierPreparer):
589    pass
590
591
592class ExecutemanyMode(FastIntFlag):
593    EXECUTEMANY_VALUES = 0
594    EXECUTEMANY_VALUES_PLUS_BATCH = 1
595
596
597(
598    EXECUTEMANY_VALUES,
599    EXECUTEMANY_VALUES_PLUS_BATCH,
600) = ExecutemanyMode.__members__.values()
601
602
603class PGDialect_psycopg2(_PGDialect_common_psycopg):
604    driver = "psycopg2"
605
606    supports_statement_cache = True
607    supports_server_side_cursors = True
608
609    default_paramstyle = "pyformat"
610    # set to true based on psycopg2 version
611    supports_sane_multi_rowcount = False
612    execution_ctx_cls = PGExecutionContext_psycopg2
613    preparer = PGIdentifierPreparer_psycopg2
614    psycopg2_version = (0, 0)
615    use_insertmanyvalues_wo_returning = True
616
617    returns_native_bytes = False
618
619    _has_native_hstore = True
620
621    colspecs = util.update_copy(
622        _PGDialect_common_psycopg.colspecs,
623        {
624            JSON: _PGJSON,
625            sqltypes.JSON: _PGJSON,
626            JSONB: _PGJSONB,
627            ranges.INT4RANGE: _Psycopg2NumericRange,
628            ranges.INT8RANGE: _Psycopg2NumericRange,
629            ranges.NUMRANGE: _Psycopg2NumericRange,
630            ranges.DATERANGE: _Psycopg2DateRange,
631            ranges.TSRANGE: _Psycopg2DateTimeRange,
632            ranges.TSTZRANGE: _Psycopg2DateTimeTZRange,
633        },
634    )
635
636    def __init__(
637        self,
638        executemany_mode="values_only",
639        executemany_batch_page_size=100,
640        **kwargs,
641    ):
642        _PGDialect_common_psycopg.__init__(self, **kwargs)
643
644        if self._native_inet_types:
645            raise NotImplementedError(
646                "The psycopg2 dialect does not implement "
647                "ipaddress type handling; native_inet_types cannot be set "
648                "to ``True`` when using this dialect."
649            )
650
651        # Parse executemany_mode argument, allowing it to be only one of the
652        # symbol names
653        self.executemany_mode = parse_user_argument_for_enum(
654            executemany_mode,
655            {
656                EXECUTEMANY_VALUES: ["values_only"],
657                EXECUTEMANY_VALUES_PLUS_BATCH: ["values_plus_batch"],
658            },
659            "executemany_mode",
660        )
661
662        self.executemany_batch_page_size = executemany_batch_page_size
663
664        if self.dbapi and hasattr(self.dbapi, "__version__"):
665            m = re.match(r"(\d+)\.(\d+)(?:\.(\d+))?", self.dbapi.__version__)
666            if m:
667                self.psycopg2_version = tuple(
668                    int(x) for x in m.group(1, 2, 3) if x is not None
669                )
670
671            if self.psycopg2_version < (2, 7):
672                raise ImportError(
673                    "psycopg2 version 2.7 or higher is required."
674                )
675
676    def initialize(self, connection):
677        super().initialize(connection)
678        self._has_native_hstore = (
679            self.use_native_hstore
680            and self._hstore_oids(connection.connection.dbapi_connection)
681            is not None
682        )
683
684        self.supports_sane_multi_rowcount = (
685            self.executemany_mode is not EXECUTEMANY_VALUES_PLUS_BATCH
686        )
687
688    @classmethod
689    def import_dbapi(cls):
690        import psycopg2
691
692        return psycopg2
693
694    @util.memoized_property
695    def _psycopg2_extensions(cls):
696        from psycopg2 import extensions
697
698        return extensions
699
700    @util.memoized_property
701    def _psycopg2_extras(cls):
702        from psycopg2 import extras
703
704        return extras
705
706    @util.memoized_property
707    def _isolation_lookup(self):
708        extensions = self._psycopg2_extensions
709        return {
710            "AUTOCOMMIT": extensions.ISOLATION_LEVEL_AUTOCOMMIT,
711            "READ COMMITTED": extensions.ISOLATION_LEVEL_READ_COMMITTED,
712            "READ UNCOMMITTED": extensions.ISOLATION_LEVEL_READ_UNCOMMITTED,
713            "REPEATABLE READ": extensions.ISOLATION_LEVEL_REPEATABLE_READ,
714            "SERIALIZABLE": extensions.ISOLATION_LEVEL_SERIALIZABLE,
715        }
716
717    def set_isolation_level(self, dbapi_connection, level):
718        dbapi_connection.set_isolation_level(self._isolation_lookup[level])
719
720    def set_readonly(self, connection, value):
721        connection.readonly = value
722
723    def get_readonly(self, connection):
724        return connection.readonly
725
726    def set_deferrable(self, connection, value):
727        connection.deferrable = value
728
729    def get_deferrable(self, connection):
730        return connection.deferrable
731
732    def on_connect(self):
733        extras = self._psycopg2_extras
734
735        fns = []
736        if self.client_encoding is not None:
737
738            def on_connect(dbapi_conn):
739                dbapi_conn.set_client_encoding(self.client_encoding)
740
741            fns.append(on_connect)
742
743        if self.dbapi:
744
745            def on_connect(dbapi_conn):
746                extras.register_uuid(None, dbapi_conn)
747
748            fns.append(on_connect)
749
750        if self.dbapi and self.use_native_hstore:
751
752            def on_connect(dbapi_conn):
753                hstore_oids = self._hstore_oids(dbapi_conn)
754                if hstore_oids is not None:
755                    oid, array_oid = hstore_oids
756                    kw = {"oid": oid}
757                    kw["array_oid"] = array_oid
758                    extras.register_hstore(dbapi_conn, **kw)
759
760            fns.append(on_connect)
761
762        if self.dbapi and self._json_deserializer:
763
764            def on_connect(dbapi_conn):
765                extras.register_default_json(
766                    dbapi_conn, loads=self._json_deserializer
767                )
768                extras.register_default_jsonb(
769                    dbapi_conn, loads=self._json_deserializer
770                )
771
772            fns.append(on_connect)
773
774        if fns:
775
776            def on_connect(dbapi_conn):
777                for fn in fns:
778                    fn(dbapi_conn)
779
780            return on_connect
781        else:
782            return None
783
784    def do_executemany(self, cursor, statement, parameters, context=None):
785        if self.executemany_mode is EXECUTEMANY_VALUES_PLUS_BATCH:
786            if self.executemany_batch_page_size:
787                kwargs = {"page_size": self.executemany_batch_page_size}
788            else:
789                kwargs = {}
790            self._psycopg2_extras.execute_batch(
791                cursor, statement, parameters, **kwargs
792            )
793        else:
794            cursor.executemany(statement, parameters)
795
796    def do_begin_twophase(self, connection, xid):
797        connection.connection.tpc_begin(xid)
798
799    def do_prepare_twophase(self, connection, xid):
800        connection.connection.tpc_prepare()
801
802    def _do_twophase(self, dbapi_conn, operation, xid, recover=False):
803        if recover:
804            if dbapi_conn.status != self._psycopg2_extensions.STATUS_READY:
805                dbapi_conn.rollback()
806            operation(xid)
807        else:
808            operation()
809
810    def do_rollback_twophase(
811        self, connection, xid, is_prepared=True, recover=False
812    ):
813        dbapi_conn = connection.connection.dbapi_connection
814        self._do_twophase(
815            dbapi_conn, dbapi_conn.tpc_rollback, xid, recover=recover
816        )
817
818    def do_commit_twophase(
819        self, connection, xid, is_prepared=True, recover=False
820    ):
821        dbapi_conn = connection.connection.dbapi_connection
822        self._do_twophase(
823            dbapi_conn, dbapi_conn.tpc_commit, xid, recover=recover
824        )
825
826    @util.memoized_instancemethod
827    def _hstore_oids(self, dbapi_connection):
828        extras = self._psycopg2_extras
829        oids = extras.HstoreAdapter.get_oids(dbapi_connection)
830        if oids is not None and oids[0]:
831            return oids[0:2]
832        else:
833            return None
834
835    def is_disconnect(self, e, connection, cursor):
836        if isinstance(e, self.dbapi.Error):
837            # check the "closed" flag.  this might not be
838            # present on old psycopg2 versions.   Also,
839            # this flag doesn't actually help in a lot of disconnect
840            # situations, so don't rely on it.
841            if getattr(connection, "closed", False):
842                return True
843
844            # checks based on strings.  in the case that .closed
845            # didn't cut it, fall back onto these.
846            str_e = str(e).partition("\n")[0]
847            for msg in [
848                # these error messages from libpq: interfaces/libpq/fe-misc.c
849                # and interfaces/libpq/fe-secure.c.
850                "terminating connection",
851                "closed the connection",
852                "connection not open",
853                "could not receive data from server",
854                "could not send data to server",
855                # psycopg2 client errors, psycopg2/connection.h,
856                # psycopg2/cursor.h
857                "connection already closed",
858                "cursor already closed",
859                # not sure where this path is originally from, it may
860                # be obsolete.   It really says "losed", not "closed".
861                "losed the connection unexpectedly",
862                # these can occur in newer SSL
863                "connection has been closed unexpectedly",
864                "SSL error: decryption failed or bad record mac",
865                "SSL SYSCALL error: Bad file descriptor",
866                "SSL SYSCALL error: EOF detected",
867                "SSL SYSCALL error: Operation timed out",
868                "SSL SYSCALL error: Bad address",
869            ]:
870                idx = str_e.find(msg)
871                if idx >= 0 and '"' not in str_e[:idx]:
872                    return True
873        return False
874
875
876dialect = PGDialect_psycopg2
877 
codekingpro/portable-devtools · Team Ai