mirror of
https://github.com/psycopg/psycopg2.git
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150 lines
5.2 KiB
Python
150 lines
5.2 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: http://www.python.org/peps/pep-0246.html
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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) 2003-2010 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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from _psycopg import UNICODE, INTEGER, LONGINTEGER, BOOLEAN, FLOAT
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from _psycopg import TIME, DATE, INTERVAL, DECIMAL
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from _psycopg import BINARYARRAY, BOOLEANARRAY, DATEARRAY, DATETIMEARRAY
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from _psycopg import DECIMALARRAY, FLOATARRAY, INTEGERARRAY, INTERVALARRAY
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from _psycopg import LONGINTEGERARRAY, ROWIDARRAY, STRINGARRAY, TIMEARRAY
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from _psycopg import UNICODEARRAY
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from _psycopg import Binary, Boolean, Float, QuotedString, AsIs
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try:
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from _psycopg import MXDATE, MXDATETIME, MXINTERVAL, MXTIME
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from _psycopg import MXDATEARRAY, MXDATETIMEARRAY, MXINTERVALARRAY, MXTIMEARRAY
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from _psycopg import DateFromMx, TimeFromMx, TimestampFromMx
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from _psycopg import IntervalFromMx
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except:
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pass
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try:
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from _psycopg import PYDATE, PYDATETIME, PYINTERVAL, PYTIME
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from _psycopg import PYDATEARRAY, PYDATETIMEARRAY, PYINTERVALARRAY, PYTIMEARRAY
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from _psycopg import DateFromPy, TimeFromPy, TimestampFromPy
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from _psycopg import IntervalFromPy
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except:
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pass
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from _psycopg import adapt, adapters, encodings, connection, cursor, lobject, Xid
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from _psycopg import string_types, binary_types, new_type, register_type
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from _psycopg import ISQLQuote, Notify
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from _psycopg import QueryCanceledError, TransactionRollbackError
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try:
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from _psycopg import set_wait_callback, get_wait_callback
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except ImportError:
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pass
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"""Isolation level values."""
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ISOLATION_LEVEL_AUTOCOMMIT = 0
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ISOLATION_LEVEL_READ_COMMITTED = 1
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ISOLATION_LEVEL_SERIALIZABLE = 2
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# PostgreSQL maps the the other standard values to already defined levels
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ISOLATION_LEVEL_REPEATABLE_READ = ISOLATION_LEVEL_SERIALIZABLE
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ISOLATION_LEVEL_READ_UNCOMMITTED = ISOLATION_LEVEL_READ_COMMITTED
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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 usefull 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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import sys as _sys
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# Return bytes from a string
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if _sys.version_info[0] < 3:
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def b(s):
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return s
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else:
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def b(s):
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return s.encode('utf8')
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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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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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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 = [str(o.getquoted()) for o in pobjs]
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return '(' + ', '.join(qobjs) + ')'
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__str__ = getquoted
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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 encodings.items():
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k = k.replace('_', '').replace('-', '').upper()
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encodings[k] = v
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__all__ = filter(lambda k: not k.startswith('_'), locals().keys())
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