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https://github.com/psycopg/psycopg2.git
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8685120485
The Python datetime module is available on all supported platforms. The types are always available and never raise an ImportError.
221 lines
6.9 KiB
Python
221 lines
6.9 KiB
Python
"""psycopg extensions to the DBAPI-2.0
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This module holds all the extensions to the DBAPI-2.0 provided by psycopg.
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- `connection` -- the new-type inheritable connection class
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- `cursor` -- the new-type inheritable cursor class
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- `lobject` -- the new-type inheritable large object class
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- `adapt()` -- exposes the PEP-246_ compatible adapting mechanism used
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by psycopg to adapt Python types to PostgreSQL ones
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.. _PEP-246: https://www.python.org/dev/peps/pep-0246/
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"""
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# psycopg/extensions.py - DBAPI-2.0 extensions specific to psycopg
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#
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# Copyright (C) 2003-2019 Federico Di Gregorio <fog@debian.org>
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#
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# psycopg2 is free software: you can redistribute it and/or modify it
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# under the terms of the GNU Lesser General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# In addition, as a special exception, the copyright holders give
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# permission to link this program with the OpenSSL library (or with
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# modified versions of OpenSSL that use the same license as OpenSSL),
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# and distribute linked combinations including the two.
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#
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# You must obey the GNU Lesser General Public License in all respects for
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# all of the code used other than OpenSSL.
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#
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# psycopg2 is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
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# License for more details.
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import re as _re
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from psycopg2._psycopg import ( # noqa
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BINARYARRAY, BOOLEAN, BOOLEANARRAY, BYTES, BYTESARRAY, DATE, DATEARRAY,
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DATETIMEARRAY, DECIMAL, DECIMALARRAY, FLOAT, FLOATARRAY, INTEGER,
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INTEGERARRAY, INTERVAL, INTERVALARRAY, LONGINTEGER, LONGINTEGERARRAY,
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ROWIDARRAY, STRINGARRAY, TIME, TIMEARRAY, UNICODE, UNICODEARRAY,
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AsIs, Binary, Boolean, Float, Int, QuotedString, )
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try:
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from psycopg2._psycopg import ( # noqa
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MXDATE, MXDATETIME, MXDATETIMETZ, MXINTERVAL, MXTIME, MXDATEARRAY,
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MXDATETIMEARRAY, MXDATETIMETZARRAY, MXINTERVALARRAY, MXTIMEARRAY,
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DateFromMx, TimeFromMx, TimestampFromMx, IntervalFromMx, )
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except ImportError:
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pass
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from psycopg2._psycopg import ( # noqa
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PYDATE, PYDATETIME, PYDATETIMETZ, PYINTERVAL, PYTIME, PYDATEARRAY,
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PYDATETIMEARRAY, PYDATETIMETZARRAY, PYINTERVALARRAY, PYTIMEARRAY,
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DateFromPy, TimeFromPy, TimestampFromPy, IntervalFromPy, )
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from psycopg2._psycopg import ( # noqa
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adapt, adapters, encodings, connection, cursor,
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lobject, Xid, libpq_version, parse_dsn, quote_ident,
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string_types, binary_types, new_type, new_array_type, register_type,
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ISQLQuote, Notify, Diagnostics, Column, ConnectionInfo,
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QueryCanceledError, TransactionRollbackError,
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set_wait_callback, get_wait_callback, encrypt_password, )
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"""Isolation level values."""
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ISOLATION_LEVEL_AUTOCOMMIT = 0
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ISOLATION_LEVEL_READ_UNCOMMITTED = 4
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ISOLATION_LEVEL_READ_COMMITTED = 1
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ISOLATION_LEVEL_REPEATABLE_READ = 2
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ISOLATION_LEVEL_SERIALIZABLE = 3
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ISOLATION_LEVEL_DEFAULT = None
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"""psycopg connection status values."""
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STATUS_SETUP = 0
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STATUS_READY = 1
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STATUS_BEGIN = 2
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STATUS_SYNC = 3 # currently unused
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STATUS_ASYNC = 4 # currently unused
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STATUS_PREPARED = 5
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# This is a useful mnemonic to check if the connection is in a transaction
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STATUS_IN_TRANSACTION = STATUS_BEGIN
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"""psycopg asynchronous connection polling values"""
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POLL_OK = 0
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POLL_READ = 1
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POLL_WRITE = 2
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POLL_ERROR = 3
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"""Backend transaction status values."""
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TRANSACTION_STATUS_IDLE = 0
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TRANSACTION_STATUS_ACTIVE = 1
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TRANSACTION_STATUS_INTRANS = 2
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TRANSACTION_STATUS_INERROR = 3
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TRANSACTION_STATUS_UNKNOWN = 4
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def register_adapter(typ, callable):
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"""Register 'callable' as an ISQLQuote adapter for type 'typ'."""
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adapters[(typ, ISQLQuote)] = callable
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# The SQL_IN class is the official adapter for tuples starting from 2.0.6.
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class SQL_IN(object):
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"""Adapt any iterable to an SQL quotable object."""
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def __init__(self, seq):
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self._seq = seq
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self._conn = None
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def prepare(self, conn):
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self._conn = conn
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def getquoted(self):
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# this is the important line: note how every object in the
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# list is adapted and then how getquoted() is called on it
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pobjs = [adapt(o) for o in self._seq]
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if self._conn is not None:
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for obj in pobjs:
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if hasattr(obj, 'prepare'):
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obj.prepare(self._conn)
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qobjs = [o.getquoted() for o in pobjs]
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return b'(' + b', '.join(qobjs) + b')'
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def __str__(self):
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return str(self.getquoted())
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class NoneAdapter(object):
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"""Adapt None to NULL.
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This adapter is not used normally as a fast path in mogrify uses NULL,
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but it makes easier to adapt composite types.
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"""
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def __init__(self, obj):
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pass
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def getquoted(self, _null=b"NULL"):
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return _null
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def make_dsn(dsn=None, **kwargs):
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"""Convert a set of keywords into a connection strings."""
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if dsn is None and not kwargs:
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return ''
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# If no kwarg is specified don't mung the dsn, but verify it
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if not kwargs:
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parse_dsn(dsn)
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return dsn
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# Override the dsn with the parameters
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if 'database' in kwargs:
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if 'dbname' in kwargs:
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raise TypeError(
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"you can't specify both 'database' and 'dbname' arguments")
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kwargs['dbname'] = kwargs.pop('database')
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# Drop the None arguments
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kwargs = {k: v for (k, v) in kwargs.items() if v is not None}
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if dsn is not None:
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tmp = parse_dsn(dsn)
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tmp.update(kwargs)
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kwargs = tmp
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dsn = " ".join(["%s=%s" % (k, _param_escape(str(v)))
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for (k, v) in kwargs.items()])
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# verify that the returned dsn is valid
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parse_dsn(dsn)
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return dsn
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def _param_escape(s,
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re_escape=_re.compile(r"([\\'])"),
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re_space=_re.compile(r'\s')):
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"""
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Apply the escaping rule required by PQconnectdb
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"""
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if not s:
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return "''"
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s = re_escape.sub(r'\\\1', s)
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if re_space.search(s):
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s = "'" + s + "'"
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return s
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# Create default json typecasters for PostgreSQL 9.2 oids
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from psycopg2._json import register_default_json, register_default_jsonb # noqa
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try:
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JSON, JSONARRAY = register_default_json()
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JSONB, JSONBARRAY = register_default_jsonb()
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except ImportError:
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pass
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del register_default_json, register_default_jsonb
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# Create default Range typecasters
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from psycopg2. _range import Range # noqa
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del Range
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# Add the "cleaned" version of the encodings to the key.
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# When the encoding is set its name is cleaned up from - and _ and turned
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# uppercase, so an encoding not respecting these rules wouldn't be found in the
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# encodings keys and would raise an exception with the unicode typecaster
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for k, v in list(encodings.items()):
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k = k.replace('_', '').replace('-', '').upper()
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encodings[k] = v
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del k, v
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