1350 lines
44 KiB
Python
1350 lines
44 KiB
Python
"""Miscellaneous goodies for psycopg2
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This module is a generic place used to hold little helper functions
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and classes until a better place in the distribution is found.
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"""
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# psycopg/extras.py - miscellaneous extra goodies for psycopg
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#
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# Copyright (C) 2003-2019 Federico Di Gregorio <fog@debian.org>
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# Copyright (C) 2020-2021 The Psycopg Team
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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 os as _os
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import time as _time
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import re as _re
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from collections import namedtuple, OrderedDict
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import logging as _logging
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import psycopg2
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from psycopg2 import extensions as _ext
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from .extensions import cursor as _cursor
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from .extensions import connection as _connection
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from .extensions import adapt as _A, quote_ident
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from functools import lru_cache
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from psycopg2._psycopg import ( # noqa
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REPLICATION_PHYSICAL, REPLICATION_LOGICAL,
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ReplicationConnection as _replicationConnection,
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ReplicationCursor as _replicationCursor,
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ReplicationMessage)
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# expose the json adaptation stuff into the module
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from psycopg2._json import ( # noqa
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json, Json, register_json, register_default_json, register_default_jsonb)
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# Expose range-related objects
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from psycopg2._range import ( # noqa
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Range, NumericRange, DateRange, DateTimeRange, DateTimeTZRange,
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register_range, RangeAdapter, RangeCaster)
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# Expose ipaddress-related objects
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from psycopg2._ipaddress import register_ipaddress # noqa
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class DictCursorBase(_cursor):
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"""Base class for all dict-like cursors."""
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def __init__(self, *args, **kwargs):
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if 'row_factory' in kwargs:
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row_factory = kwargs['row_factory']
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del kwargs['row_factory']
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else:
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raise NotImplementedError(
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"DictCursorBase can't be instantiated without a row factory.")
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super().__init__(*args, **kwargs)
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self._query_executed = False
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self._prefetch = False
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self.row_factory = row_factory
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def fetchone(self):
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if self._prefetch:
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res = super().fetchone()
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if self._query_executed:
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self._build_index()
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if not self._prefetch:
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res = super().fetchone()
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return res
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def fetchmany(self, size=None):
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if self._prefetch:
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res = super().fetchmany(size)
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if self._query_executed:
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self._build_index()
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if not self._prefetch:
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res = super().fetchmany(size)
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return res
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def fetchall(self):
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if self._prefetch:
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res = super().fetchall()
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if self._query_executed:
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self._build_index()
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if not self._prefetch:
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res = super().fetchall()
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return res
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def __iter__(self):
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try:
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if self._prefetch:
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res = super().__iter__()
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first = next(res)
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if self._query_executed:
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self._build_index()
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if not self._prefetch:
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res = super().__iter__()
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first = next(res)
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yield first
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while True:
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yield next(res)
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except StopIteration:
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return
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class DictConnection(_connection):
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"""A connection that uses `DictCursor` automatically."""
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def cursor(self, *args, **kwargs):
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kwargs.setdefault('cursor_factory', self.cursor_factory or DictCursor)
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return super().cursor(*args, **kwargs)
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class DictCursor(DictCursorBase):
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"""A cursor that keeps a list of column name -> index mappings__.
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.. __: https://docs.python.org/glossary.html#term-mapping
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"""
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def __init__(self, *args, **kwargs):
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kwargs['row_factory'] = DictRow
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super().__init__(*args, **kwargs)
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self._prefetch = True
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def execute(self, query, vars=None, place_holder = '%'):
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self.index = OrderedDict()
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self._query_executed = True
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return super().execute(query, vars, place_holder)
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def callproc(self, procname, vars=None, place_holder = '%'):
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self.index = OrderedDict()
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self._query_executed = True
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return super().callproc(procname, vars, place_holder)
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def _build_index(self):
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if self._query_executed and self.description:
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for i in range(len(self.description)):
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self.index[self.description[i][0]] = i
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self._query_executed = False
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class DictRow(list):
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"""A row object that allow by-column-name access to data."""
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__slots__ = ('_index',)
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def __init__(self, cursor):
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self._index = cursor.index
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self[:] = [None] * len(cursor.description)
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def __getitem__(self, x):
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if not isinstance(x, (int, slice)):
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x = self._index[x]
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return super().__getitem__(x)
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def __setitem__(self, x, v):
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if not isinstance(x, (int, slice)):
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x = self._index[x]
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super().__setitem__(x, v)
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def items(self):
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g = super().__getitem__
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return ((n, g(self._index[n])) for n in self._index)
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def keys(self):
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return iter(self._index)
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def values(self):
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g = super().__getitem__
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return (g(self._index[n]) for n in self._index)
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def get(self, x, default=None):
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try:
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return self[x]
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except Exception:
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return default
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def copy(self):
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return OrderedDict(self.items())
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def __contains__(self, x):
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return x in self._index
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def __reduce__(self):
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# this is apparently useless, but it fixes #1073
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return super().__reduce__()
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def __getstate__(self):
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return self[:], self._index.copy()
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def __setstate__(self, data):
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self[:] = data[0]
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self._index = data[1]
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class RealDictConnection(_connection):
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"""A connection that uses `RealDictCursor` automatically."""
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def cursor(self, *args, **kwargs):
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kwargs.setdefault('cursor_factory', self.cursor_factory or RealDictCursor)
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return super().cursor(*args, **kwargs)
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class RealDictCursor(DictCursorBase):
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"""A cursor that uses a real dict as the base type for rows.
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Note that this cursor is extremely specialized and does not allow
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the normal access (using integer indices) to fetched data. If you need
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to access database rows both as a dictionary and a list, then use
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the generic `DictCursor` instead of `!RealDictCursor`.
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"""
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def __init__(self, *args, **kwargs):
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kwargs['row_factory'] = RealDictRow
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super().__init__(*args, **kwargs)
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def execute(self, query, vars=None, place_holder = '%'):
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self.column_mapping = []
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self._query_executed = True
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return super().execute(query, vars, place_holder)
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def callproc(self, procname, vars=None, place_holder = '%'):
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self.column_mapping = []
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self._query_executed = True
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return super().callproc(procname, vars, place_holder)
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def _build_index(self):
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if self._query_executed and self.description:
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self.column_mapping = [d[0] for d in self.description]
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self._query_executed = False
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class RealDictRow(OrderedDict):
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"""A `!dict` subclass representing a data record."""
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def __init__(self, *args, **kwargs):
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if args and isinstance(args[0], _cursor):
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cursor = args[0]
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args = args[1:]
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else:
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cursor = None
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super().__init__(*args, **kwargs)
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if cursor is not None:
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# Required for named cursors
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if cursor.description and not cursor.column_mapping:
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cursor._build_index()
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# Store the cols mapping in the dict itself until the row is fully
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# populated, so we don't need to add attributes to the class
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# (hence keeping its maintenance, special pickle support, etc.)
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self[RealDictRow] = cursor.column_mapping
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def __setitem__(self, key, value):
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if RealDictRow in self:
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# We are in the row building phase
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mapping = self[RealDictRow]
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super().__setitem__(mapping[key], value)
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if key == len(mapping) - 1:
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# Row building finished
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del self[RealDictRow]
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return
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super().__setitem__(key, value)
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class NamedTupleConnection(_connection):
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"""A connection that uses `NamedTupleCursor` automatically."""
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def cursor(self, *args, **kwargs):
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kwargs.setdefault('cursor_factory', self.cursor_factory or NamedTupleCursor)
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return super().cursor(*args, **kwargs)
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class NamedTupleCursor(_cursor):
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"""A cursor that generates results as `~collections.namedtuple`.
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`!fetch*()` methods will return named tuples instead of regular tuples, so
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their elements can be accessed both as regular numeric items as well as
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attributes.
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>>> nt_cur = conn.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
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>>> rec = nt_cur.fetchone()
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>>> rec
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Record(id=1, num=100, data="abc'def")
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>>> rec[1]
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100
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>>> rec.data
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"abc'def"
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"""
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Record = None
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MAX_CACHE = 1024
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def execute(self, query, vars=None, place_holder = '%'):
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self.Record = None
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return super().execute(query, vars, place_holder)
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def executemany(self, query, vars, place_holder = '%'):
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self.Record = None
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return super().executemany(query, vars, place_holder)
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def callproc(self, procname, vars=None, place_holder = '%'):
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self.Record = None
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return super().callproc(procname, vars, place_holder)
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def fetchone(self):
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t = super().fetchone()
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if t is not None:
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nt = self.Record
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if nt is None:
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nt = self.Record = self._make_nt()
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return nt._make(t)
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def fetchmany(self, size=None):
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ts = super().fetchmany(size)
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nt = self.Record
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if nt is None:
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nt = self.Record = self._make_nt()
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return list(map(nt._make, ts))
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def fetchall(self):
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ts = super().fetchall()
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nt = self.Record
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if nt is None:
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nt = self.Record = self._make_nt()
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return list(map(nt._make, ts))
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def __iter__(self):
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try:
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it = super().__iter__()
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t = next(it)
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nt = self.Record
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if nt is None:
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nt = self.Record = self._make_nt()
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yield nt._make(t)
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while True:
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yield nt._make(next(it))
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except StopIteration:
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return
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# ascii except alnum and underscore
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_re_clean = _re.compile(
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'[' + _re.escape(' !"#$%&\'()*+,-./:;<=>?@[\\]^`{|}~') + ']')
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def _make_nt(self):
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key = tuple(d[0] for d in self.description) if self.description else ()
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return self._cached_make_nt(key)
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@classmethod
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def _do_make_nt(cls, key):
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fields = []
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for s in key:
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s = cls._re_clean.sub('_', s)
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# Python identifier cannot start with numbers, namedtuple fields
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# cannot start with underscore. So...
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if s[0] == '_' or '0' <= s[0] <= '9':
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s = 'f' + s
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fields.append(s)
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nt = namedtuple("Record", fields)
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return nt
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@lru_cache(512)
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def _cached_make_nt(cls, key):
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return cls._do_make_nt(key)
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# Exposed for testability, and if someone wants to monkeypatch to tweak
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# the cache size.
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NamedTupleCursor._cached_make_nt = classmethod(_cached_make_nt)
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class LoggingConnection(_connection):
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"""A connection that logs all queries to a file or logger__ object.
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.. __: https://docs.python.org/library/logging.html
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"""
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def initialize(self, logobj):
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"""Initialize the connection to log to `!logobj`.
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The `!logobj` parameter can be an open file object or a Logger/LoggerAdapter
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instance from the standard logging module.
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"""
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self._logobj = logobj
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if _logging and isinstance(
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logobj, (_logging.Logger, _logging.LoggerAdapter)):
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self.log = self._logtologger
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else:
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self.log = self._logtofile
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def filter(self, msg, curs):
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"""Filter the query before logging it.
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This is the method to overwrite to filter unwanted queries out of the
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log or to add some extra data to the output. The default implementation
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just does nothing.
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"""
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return msg
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def _logtofile(self, msg, curs):
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msg = self.filter(msg, curs)
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if msg:
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if isinstance(msg, bytes):
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msg = msg.decode(_ext.encodings[self.encoding], 'replace')
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self._logobj.write(msg + _os.linesep)
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def _logtologger(self, msg, curs):
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msg = self.filter(msg, curs)
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if msg:
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self._logobj.debug(msg)
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def _check(self):
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if not hasattr(self, '_logobj'):
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raise self.ProgrammingError(
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"LoggingConnection object has not been initialize()d")
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def cursor(self, *args, **kwargs):
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self._check()
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kwargs.setdefault('cursor_factory', self.cursor_factory or LoggingCursor)
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return super().cursor(*args, **kwargs)
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class LoggingCursor(_cursor):
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"""A cursor that logs queries using its connection logging facilities."""
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def execute(self, query, vars=None, place_holder = '%'):
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try:
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return super().execute(query, vars, place_holder)
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finally:
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self.connection.log(self.query, self)
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def callproc(self, procname, vars=None, place_holder = '%'):
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try:
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return super().callproc(procname, vars, place_holder)
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finally:
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self.connection.log(self.query, self)
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class MinTimeLoggingConnection(LoggingConnection):
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"""A connection that logs queries based on execution time.
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This is just an example of how to sub-class `LoggingConnection` to
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provide some extra filtering for the logged queries. Both the
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`initialize()` and `filter()` methods are overwritten to make sure
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that only queries executing for more than ``mintime`` ms are logged.
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Note that this connection uses the specialized cursor
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`MinTimeLoggingCursor`.
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"""
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def initialize(self, logobj, mintime=0):
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LoggingConnection.initialize(self, logobj)
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self._mintime = mintime
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def filter(self, msg, curs):
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t = (_time.time() - curs.timestamp) * 1000
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if t > self._mintime:
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if isinstance(msg, bytes):
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msg = msg.decode(_ext.encodings[self.encoding], 'replace')
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return f"{msg}{_os.linesep} (execution time: {t} ms)"
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def cursor(self, *args, **kwargs):
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kwargs.setdefault('cursor_factory',
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self.cursor_factory or MinTimeLoggingCursor)
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return LoggingConnection.cursor(self, *args, **kwargs)
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class MinTimeLoggingCursor(LoggingCursor):
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"""The cursor sub-class companion to `MinTimeLoggingConnection`."""
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def execute(self, query, vars=None, place_holder = '%'):
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self.timestamp = _time.time()
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return LoggingCursor.execute(self, query, vars, place_holder)
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def callproc(self, procname, vars=None, place_holder = '%'):
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self.timestamp = _time.time()
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return LoggingCursor.callproc(self, procname, vars, place_holder)
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class LogicalReplicationConnection(_replicationConnection):
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def __init__(self, *args, **kwargs):
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kwargs['replication_type'] = REPLICATION_LOGICAL
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super().__init__(*args, **kwargs)
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class PhysicalReplicationConnection(_replicationConnection):
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def __init__(self, *args, **kwargs):
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kwargs['replication_type'] = REPLICATION_PHYSICAL
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super().__init__(*args, **kwargs)
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class StopReplication(Exception):
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"""
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Exception used to break out of the endless loop in
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`~ReplicationCursor.consume_stream()`.
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Subclass of `~exceptions.Exception`. Intentionally *not* inherited from
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`~psycopg2.Error` as occurrence of this exception does not indicate an
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error.
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"""
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pass
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class ReplicationCursor(_replicationCursor):
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"""A cursor used for communication on replication connections."""
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def create_replication_slot(self, slot_name, slot_type=None, output_plugin=None):
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"""Create streaming replication slot."""
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command = f"CREATE_REPLICATION_SLOT {quote_ident(slot_name, self)} "
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if slot_type is None:
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slot_type = self.connection.replication_type
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if slot_type == REPLICATION_LOGICAL:
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if output_plugin is None:
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raise psycopg2.ProgrammingError(
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"output plugin name is required to create "
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"logical replication slot")
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command += f"LOGICAL {quote_ident(output_plugin, self)}"
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elif slot_type == REPLICATION_PHYSICAL:
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if output_plugin is not None:
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raise psycopg2.ProgrammingError(
|
|
"cannot specify output plugin name when creating "
|
|
"physical replication slot")
|
|
|
|
command += "PHYSICAL"
|
|
|
|
else:
|
|
raise psycopg2.ProgrammingError(
|
|
f"unrecognized replication type: {repr(slot_type)}")
|
|
|
|
self.execute(command)
|
|
|
|
def drop_replication_slot(self, slot_name):
|
|
"""Drop streaming replication slot."""
|
|
|
|
command = f"DROP_REPLICATION_SLOT {quote_ident(slot_name, self)}"
|
|
self.execute(command)
|
|
|
|
def start_replication(
|
|
self, slot_name=None, slot_type=None, start_lsn=0,
|
|
timeline=0, options=None, decode=False, status_interval=10):
|
|
"""Start replication stream."""
|
|
|
|
command = "START_REPLICATION "
|
|
|
|
if slot_type is None:
|
|
slot_type = self.connection.replication_type
|
|
|
|
if slot_type == REPLICATION_LOGICAL:
|
|
if slot_name:
|
|
command += f"SLOT {quote_ident(slot_name, self)} "
|
|
else:
|
|
raise psycopg2.ProgrammingError(
|
|
"slot name is required for logical replication")
|
|
|
|
command += "LOGICAL "
|
|
|
|
elif slot_type == REPLICATION_PHYSICAL:
|
|
if slot_name:
|
|
command += f"SLOT {quote_ident(slot_name, self)} "
|
|
# don't add "PHYSICAL", before 9.4 it was just START_REPLICATION XXX/XXX
|
|
|
|
else:
|
|
raise psycopg2.ProgrammingError(
|
|
f"unrecognized replication type: {repr(slot_type)}")
|
|
|
|
if type(start_lsn) is str:
|
|
lsn = start_lsn.split('/')
|
|
lsn = f"{int(lsn[0], 16):X}/{int(lsn[1], 16):08X}"
|
|
else:
|
|
lsn = f"{start_lsn >> 32 & 4294967295:X}/{start_lsn & 4294967295:08X}"
|
|
|
|
command += lsn
|
|
|
|
if timeline != 0:
|
|
if slot_type == REPLICATION_LOGICAL:
|
|
raise psycopg2.ProgrammingError(
|
|
"cannot specify timeline for logical replication")
|
|
|
|
command += f" TIMELINE {timeline}"
|
|
|
|
if options:
|
|
if slot_type == REPLICATION_PHYSICAL:
|
|
raise psycopg2.ProgrammingError(
|
|
"cannot specify output plugin options for physical replication")
|
|
|
|
command += " ("
|
|
for k, v in options.items():
|
|
if not command.endswith('('):
|
|
command += ", "
|
|
command += f"{quote_ident(k, self)} {_A(str(v))}"
|
|
command += ")"
|
|
|
|
self.start_replication_expert(
|
|
command, decode=decode, status_interval=status_interval)
|
|
|
|
# allows replication cursors to be used in select.select() directly
|
|
def fileno(self):
|
|
return self.connection.fileno()
|
|
|
|
|
|
# a dbtype and adapter for Python UUID type
|
|
|
|
class UUID_adapter:
|
|
"""Adapt Python's uuid.UUID__ type to PostgreSQL's uuid__.
|
|
|
|
.. __: https://docs.python.org/library/uuid.html
|
|
.. __: https://www.postgresql.org/docs/current/static/datatype-uuid.html
|
|
"""
|
|
|
|
def __init__(self, uuid):
|
|
self._uuid = uuid
|
|
|
|
def __conform__(self, proto):
|
|
if proto is _ext.ISQLQuote:
|
|
return self
|
|
|
|
def getquoted(self):
|
|
return (f"'{self._uuid}'::uuid").encode('utf8')
|
|
|
|
def __str__(self):
|
|
return f"'{self._uuid}'::uuid"
|
|
|
|
|
|
def register_uuid(oids=None, conn_or_curs=None):
|
|
"""Create the UUID type and an uuid.UUID adapter.
|
|
|
|
:param oids: oid for the PostgreSQL :sql:`uuid` type, or 2-items sequence
|
|
with oids of the type and the array. If not specified, use PostgreSQL
|
|
standard oids.
|
|
:param conn_or_curs: where to register the typecaster. If not specified,
|
|
register it globally.
|
|
"""
|
|
|
|
import uuid
|
|
|
|
if not oids:
|
|
oid1 = 2950
|
|
oid2 = 2951
|
|
elif isinstance(oids, (list, tuple)):
|
|
oid1, oid2 = oids
|
|
else:
|
|
oid1 = oids
|
|
oid2 = 2951
|
|
|
|
_ext.UUID = _ext.new_type((oid1, ), "UUID",
|
|
lambda data, cursor: data and uuid.UUID(data) or None)
|
|
_ext.UUIDARRAY = _ext.new_array_type((oid2,), "UUID[]", _ext.UUID)
|
|
|
|
_ext.register_type(_ext.UUID, conn_or_curs)
|
|
_ext.register_type(_ext.UUIDARRAY, conn_or_curs)
|
|
_ext.register_adapter(uuid.UUID, UUID_adapter)
|
|
|
|
return _ext.UUID
|
|
|
|
|
|
# a type, dbtype and adapter for PostgreSQL inet type
|
|
|
|
class Inet:
|
|
"""Wrap a string to allow for correct SQL-quoting of inet values.
|
|
|
|
Note that this adapter does NOT check the passed value to make
|
|
sure it really is an inet-compatible address but DOES call adapt()
|
|
on it to make sure it is impossible to execute an SQL-injection
|
|
by passing an evil value to the initializer.
|
|
"""
|
|
def __init__(self, addr):
|
|
self.addr = addr
|
|
|
|
def __repr__(self):
|
|
return f"{self.__class__.__name__}({self.addr!r})"
|
|
|
|
def prepare(self, conn):
|
|
self._conn = conn
|
|
|
|
def getquoted(self):
|
|
obj = _A(self.addr)
|
|
if hasattr(obj, 'prepare'):
|
|
obj.prepare(self._conn)
|
|
return obj.getquoted() + b"::inet"
|
|
|
|
def __conform__(self, proto):
|
|
if proto is _ext.ISQLQuote:
|
|
return self
|
|
|
|
def __str__(self):
|
|
return str(self.addr)
|
|
|
|
|
|
def register_inet(oid=None, conn_or_curs=None):
|
|
"""Create the INET type and an Inet adapter.
|
|
|
|
:param oid: oid for the PostgreSQL :sql:`inet` type, or 2-items sequence
|
|
with oids of the type and the array. If not specified, use PostgreSQL
|
|
standard oids.
|
|
:param conn_or_curs: where to register the typecaster. If not specified,
|
|
register it globally.
|
|
"""
|
|
import warnings
|
|
warnings.warn(
|
|
"the inet adapter is deprecated, it's not very useful",
|
|
DeprecationWarning)
|
|
|
|
if not oid:
|
|
oid1 = 869
|
|
oid2 = 1041
|
|
elif isinstance(oid, (list, tuple)):
|
|
oid1, oid2 = oid
|
|
else:
|
|
oid1 = oid
|
|
oid2 = 1041
|
|
|
|
_ext.INET = _ext.new_type((oid1, ), "INET",
|
|
lambda data, cursor: data and Inet(data) or None)
|
|
_ext.INETARRAY = _ext.new_array_type((oid2, ), "INETARRAY", _ext.INET)
|
|
|
|
_ext.register_type(_ext.INET, conn_or_curs)
|
|
_ext.register_type(_ext.INETARRAY, conn_or_curs)
|
|
|
|
return _ext.INET
|
|
|
|
|
|
def wait_select(conn):
|
|
"""Wait until a connection or cursor has data available.
|
|
|
|
The function is an example of a wait callback to be registered with
|
|
`~psycopg2.extensions.set_wait_callback()`. This function uses
|
|
:py:func:`~select.select()` to wait for data to become available, and
|
|
therefore is able to handle/receive SIGINT/KeyboardInterrupt.
|
|
"""
|
|
import select
|
|
from psycopg2.extensions import POLL_OK, POLL_READ, POLL_WRITE
|
|
|
|
while True:
|
|
try:
|
|
state = conn.poll()
|
|
if state == POLL_OK:
|
|
break
|
|
elif state == POLL_READ:
|
|
select.select([conn.fileno()], [], [])
|
|
elif state == POLL_WRITE:
|
|
select.select([], [conn.fileno()], [])
|
|
else:
|
|
raise conn.OperationalError(f"bad state from poll: {state}")
|
|
except KeyboardInterrupt:
|
|
conn.cancel()
|
|
# the loop will be broken by a server error
|
|
continue
|
|
|
|
|
|
def _solve_conn_curs(conn_or_curs):
|
|
"""Return the connection and a DBAPI cursor from a connection or cursor."""
|
|
if conn_or_curs is None:
|
|
raise psycopg2.ProgrammingError("no connection or cursor provided")
|
|
|
|
if hasattr(conn_or_curs, 'execute'):
|
|
conn = conn_or_curs.connection
|
|
curs = conn.cursor(cursor_factory=_cursor)
|
|
else:
|
|
conn = conn_or_curs
|
|
curs = conn.cursor(cursor_factory=_cursor)
|
|
|
|
return conn, curs
|
|
|
|
|
|
class HstoreAdapter:
|
|
"""Adapt a Python dict to the hstore syntax."""
|
|
def __init__(self, wrapped):
|
|
self.wrapped = wrapped
|
|
|
|
def prepare(self, conn):
|
|
self.conn = conn
|
|
|
|
# use an old-style getquoted implementation if required
|
|
if conn.info.server_version < 90000:
|
|
self.getquoted = self._getquoted_8
|
|
|
|
def _getquoted_8(self):
|
|
"""Use the operators available in PG pre-9.0."""
|
|
if not self.wrapped:
|
|
return b"''::hstore"
|
|
|
|
adapt = _ext.adapt
|
|
rv = []
|
|
for k, v in self.wrapped.items():
|
|
k = adapt(k)
|
|
k.prepare(self.conn)
|
|
k = k.getquoted()
|
|
|
|
if v is not None:
|
|
v = adapt(v)
|
|
v.prepare(self.conn)
|
|
v = v.getquoted()
|
|
else:
|
|
v = b'NULL'
|
|
|
|
# XXX this b'ing is painfully inefficient!
|
|
rv.append(b"(" + k + b" => " + v + b")")
|
|
|
|
return b"(" + b'||'.join(rv) + b")"
|
|
|
|
def _getquoted_9(self):
|
|
"""Use the hstore(text[], text[]) function."""
|
|
if not self.wrapped:
|
|
return b"''::hstore"
|
|
|
|
k = _ext.adapt(list(self.wrapped.keys()))
|
|
k.prepare(self.conn)
|
|
v = _ext.adapt(list(self.wrapped.values()))
|
|
v.prepare(self.conn)
|
|
return b"hstore(" + k.getquoted() + b", " + v.getquoted() + b")"
|
|
|
|
getquoted = _getquoted_9
|
|
|
|
_re_hstore = _re.compile(r"""
|
|
# hstore key:
|
|
# a string of normal or escaped chars
|
|
"((?: [^"\\] | \\. )*)"
|
|
\s*=>\s* # hstore value
|
|
(?:
|
|
NULL # the value can be null - not catched
|
|
# or a quoted string like the key
|
|
| "((?: [^"\\] | \\. )*)"
|
|
)
|
|
(?:\s*,\s*|$) # pairs separated by comma or end of string.
|
|
""", _re.VERBOSE)
|
|
|
|
@classmethod
|
|
def parse(self, s, cur, _bsdec=_re.compile(r"\\(.)")):
|
|
"""Parse an hstore representation in a Python string.
|
|
|
|
The hstore is represented as something like::
|
|
|
|
"a"=>"1", "b"=>"2"
|
|
|
|
with backslash-escaped strings.
|
|
"""
|
|
if s is None:
|
|
return None
|
|
|
|
rv = {}
|
|
start = 0
|
|
for m in self._re_hstore.finditer(s):
|
|
if m is None or m.start() != start:
|
|
raise psycopg2.InterfaceError(
|
|
f"error parsing hstore pair at char {start}")
|
|
k = _bsdec.sub(r'\1', m.group(1))
|
|
v = m.group(2)
|
|
if v is not None:
|
|
v = _bsdec.sub(r'\1', v)
|
|
|
|
rv[k] = v
|
|
start = m.end()
|
|
|
|
if start < len(s):
|
|
raise psycopg2.InterfaceError(
|
|
f"error parsing hstore: unparsed data after char {start}")
|
|
|
|
return rv
|
|
|
|
@classmethod
|
|
def parse_unicode(self, s, cur):
|
|
"""Parse an hstore returning unicode keys and values."""
|
|
if s is None:
|
|
return None
|
|
|
|
s = s.decode(_ext.encodings[cur.connection.encoding])
|
|
return self.parse(s, cur)
|
|
|
|
@classmethod
|
|
def get_oids(self, conn_or_curs):
|
|
"""Return the lists of OID of the hstore and hstore[] types.
|
|
"""
|
|
conn, curs = _solve_conn_curs(conn_or_curs)
|
|
|
|
# Store the transaction status of the connection to revert it after use
|
|
conn_status = conn.status
|
|
|
|
# column typarray not available before PG 8.3
|
|
typarray = conn.info.server_version >= 80300 and "typarray" or "NULL"
|
|
|
|
rv0, rv1 = [], []
|
|
|
|
# get the oid for the hstore
|
|
curs.execute(f"""SELECT t.oid, {typarray}
|
|
FROM pg_type t JOIN pg_namespace ns
|
|
ON typnamespace = ns.oid
|
|
WHERE typname = 'hstore';
|
|
""")
|
|
for oids in curs:
|
|
rv0.append(oids[0])
|
|
rv1.append(oids[1])
|
|
|
|
# revert the status of the connection as before the command
|
|
if (conn_status != _ext.STATUS_IN_TRANSACTION
|
|
and not conn.autocommit):
|
|
conn.rollback()
|
|
|
|
return tuple(rv0), tuple(rv1)
|
|
|
|
|
|
def register_hstore(conn_or_curs, globally=False, unicode=False,
|
|
oid=None, array_oid=None):
|
|
r"""Register adapter and typecaster for `!dict`\-\ |hstore| conversions.
|
|
|
|
:param conn_or_curs: a connection or cursor: the typecaster will be
|
|
registered only on this object unless *globally* is set to `!True`
|
|
:param globally: register the adapter globally, not only on *conn_or_curs*
|
|
:param unicode: if `!True`, keys and values returned from the database
|
|
will be `!unicode` instead of `!str`. The option is not available on
|
|
Python 3
|
|
:param oid: the OID of the |hstore| type if known. If not, it will be
|
|
queried on *conn_or_curs*.
|
|
:param array_oid: the OID of the |hstore| array type if known. If not, it
|
|
will be queried on *conn_or_curs*.
|
|
|
|
The connection or cursor passed to the function will be used to query the
|
|
database and look for the OID of the |hstore| type (which may be different
|
|
across databases). If querying is not desirable (e.g. with
|
|
:ref:`asynchronous connections <async-support>`) you may specify it in the
|
|
*oid* parameter, which can be found using a query such as :sql:`SELECT
|
|
'hstore'::regtype::oid`. Analogously you can obtain a value for *array_oid*
|
|
using a query such as :sql:`SELECT 'hstore[]'::regtype::oid`.
|
|
|
|
Note that, when passing a dictionary from Python to the database, both
|
|
strings and unicode keys and values are supported. Dictionaries returned
|
|
from the database have keys/values according to the *unicode* parameter.
|
|
|
|
The |hstore| contrib module must be already installed in the database
|
|
(executing the ``hstore.sql`` script in your ``contrib`` directory).
|
|
Raise `~psycopg2.ProgrammingError` if the type is not found.
|
|
"""
|
|
if oid is None:
|
|
oid = HstoreAdapter.get_oids(conn_or_curs)
|
|
if oid is None or not oid[0]:
|
|
raise psycopg2.ProgrammingError(
|
|
"hstore type not found in the database. "
|
|
"please install it from your 'contrib/hstore.sql' file")
|
|
else:
|
|
array_oid = oid[1]
|
|
oid = oid[0]
|
|
|
|
if isinstance(oid, int):
|
|
oid = (oid,)
|
|
|
|
if array_oid is not None:
|
|
if isinstance(array_oid, int):
|
|
array_oid = (array_oid,)
|
|
else:
|
|
array_oid = tuple([x for x in array_oid if x])
|
|
|
|
# create and register the typecaster
|
|
HSTORE = _ext.new_type(oid, "HSTORE", HstoreAdapter.parse)
|
|
_ext.register_type(HSTORE, not globally and conn_or_curs or None)
|
|
_ext.register_adapter(dict, HstoreAdapter)
|
|
|
|
if array_oid:
|
|
HSTOREARRAY = _ext.new_array_type(array_oid, "HSTOREARRAY", HSTORE)
|
|
_ext.register_type(HSTOREARRAY, not globally and conn_or_curs or None)
|
|
|
|
|
|
class CompositeCaster:
|
|
"""Helps conversion of a PostgreSQL composite type into a Python object.
|
|
|
|
The class is usually created by the `register_composite()` function.
|
|
You may want to create and register manually instances of the class if
|
|
querying the database at registration time is not desirable (such as when
|
|
using an :ref:`asynchronous connections <async-support>`).
|
|
|
|
"""
|
|
def __init__(self, name, oid, attrs, array_oid=None, schema=None):
|
|
self.name = name
|
|
self.schema = schema
|
|
self.oid = oid
|
|
self.array_oid = array_oid
|
|
|
|
self.attnames = [a[0] for a in attrs]
|
|
self.atttypes = [a[1] for a in attrs]
|
|
self._create_type(name, self.attnames)
|
|
self.typecaster = _ext.new_type((oid,), name, self.parse)
|
|
if array_oid:
|
|
self.array_typecaster = _ext.new_array_type(
|
|
(array_oid,), f"{name}ARRAY", self.typecaster)
|
|
else:
|
|
self.array_typecaster = None
|
|
|
|
def parse(self, s, curs):
|
|
if s is None:
|
|
return None
|
|
|
|
tokens = self.tokenize(s)
|
|
if len(tokens) != len(self.atttypes):
|
|
raise psycopg2.DataError(
|
|
"expecting %d components for the type %s, %d found instead" %
|
|
(len(self.atttypes), self.name, len(tokens)))
|
|
|
|
values = [curs.cast(oid, token)
|
|
for oid, token in zip(self.atttypes, tokens)]
|
|
|
|
return self.make(values)
|
|
|
|
def make(self, values):
|
|
"""Return a new Python object representing the data being casted.
|
|
|
|
*values* is the list of attributes, already casted into their Python
|
|
representation.
|
|
|
|
You can subclass this method to :ref:`customize the composite cast
|
|
<custom-composite>`.
|
|
"""
|
|
|
|
return self._ctor(values)
|
|
|
|
_re_tokenize = _re.compile(r"""
|
|
\(? ([,)]) # an empty token, representing NULL
|
|
| \(? " ((?: [^"] | "")*) " [,)] # or a quoted string
|
|
| \(? ([^",)]+) [,)] # or an unquoted string
|
|
""", _re.VERBOSE)
|
|
|
|
_re_undouble = _re.compile(r'(["\\])\1')
|
|
|
|
@classmethod
|
|
def tokenize(self, s):
|
|
rv = []
|
|
for m in self._re_tokenize.finditer(s):
|
|
if m is None:
|
|
raise psycopg2.InterfaceError(f"can't parse type: {s!r}")
|
|
if m.group(1) is not None:
|
|
rv.append(None)
|
|
elif m.group(2) is not None:
|
|
rv.append(self._re_undouble.sub(r"\1", m.group(2)))
|
|
else:
|
|
rv.append(m.group(3))
|
|
|
|
return rv
|
|
|
|
def _create_type(self, name, attnames):
|
|
self.type = namedtuple(name, attnames)
|
|
self._ctor = self.type._make
|
|
|
|
@classmethod
|
|
def _from_db(self, name, conn_or_curs):
|
|
"""Return a `CompositeCaster` instance for the type *name*.
|
|
|
|
Raise `ProgrammingError` if the type is not found.
|
|
"""
|
|
conn, curs = _solve_conn_curs(conn_or_curs)
|
|
|
|
# Store the transaction status of the connection to revert it after use
|
|
conn_status = conn.status
|
|
|
|
# Use the correct schema
|
|
if '.' in name:
|
|
schema, tname = name.split('.', 1)
|
|
else:
|
|
tname = name
|
|
schema = 'public'
|
|
|
|
# column typarray not available before PG 8.3
|
|
typarray = conn.info.server_version >= 80300 and "typarray" or "NULL"
|
|
|
|
# get the type oid and attributes
|
|
curs.execute("""\
|
|
SELECT t.oid, %s, attname, atttypid
|
|
FROM pg_type t
|
|
JOIN pg_namespace ns ON typnamespace = ns.oid
|
|
JOIN pg_attribute a ON attrelid = typrelid
|
|
WHERE typname = %%s AND nspname = %%s
|
|
AND attnum > 0 AND NOT attisdropped
|
|
ORDER BY attnum;
|
|
""" % typarray, (tname, schema))
|
|
|
|
recs = curs.fetchall()
|
|
|
|
# revert the status of the connection as before the command
|
|
if conn_status != _ext.STATUS_IN_TRANSACTION and not conn.autocommit:
|
|
conn.rollback()
|
|
|
|
if not recs:
|
|
raise psycopg2.ProgrammingError(
|
|
f"PostgreSQL type '{name}' not found")
|
|
|
|
type_oid = recs[0][0]
|
|
array_oid = recs[0][1]
|
|
type_attrs = [(r[2], r[3]) for r in recs]
|
|
|
|
return self(tname, type_oid, type_attrs,
|
|
array_oid=array_oid, schema=schema)
|
|
|
|
|
|
def register_composite(name, conn_or_curs, globally=False, factory=None):
|
|
"""Register a typecaster to convert a composite type into a tuple.
|
|
|
|
:param name: the name of a PostgreSQL composite type, e.g. created using
|
|
the |CREATE TYPE|_ command
|
|
:param conn_or_curs: a connection or cursor used to find the type oid and
|
|
components; the typecaster is registered in a scope limited to this
|
|
object, unless *globally* is set to `!True`
|
|
:param globally: if `!False` (default) register the typecaster only on
|
|
*conn_or_curs*, otherwise register it globally
|
|
:param factory: if specified it should be a `CompositeCaster` subclass: use
|
|
it to :ref:`customize how to cast composite types <custom-composite>`
|
|
:return: the registered `CompositeCaster` or *factory* instance
|
|
responsible for the conversion
|
|
"""
|
|
if factory is None:
|
|
factory = CompositeCaster
|
|
|
|
caster = factory._from_db(name, conn_or_curs)
|
|
_ext.register_type(caster.typecaster, not globally and conn_or_curs or None)
|
|
|
|
if caster.array_typecaster is not None:
|
|
_ext.register_type(
|
|
caster.array_typecaster, not globally and conn_or_curs or None)
|
|
|
|
return caster
|
|
|
|
|
|
def _paginate(seq, page_size, to_byte=False):
|
|
"""Consume an iterable and return it in chunks.
|
|
|
|
Every chunk is at most `page_size`. Never return an empty chunk.
|
|
"""
|
|
page = []
|
|
it = iter(seq)
|
|
while True:
|
|
try:
|
|
for i in range(page_size):
|
|
if not to_byte:
|
|
page.append(next(it))
|
|
continue
|
|
vs = next(it)
|
|
if isinstance(vs, (list, tuple)):
|
|
# Ignore None object
|
|
# Serialized params to bytes
|
|
page.append(list(map(lambda v: v if v is None else str(v).encode('utf-8'), vs)))
|
|
else:
|
|
page.append(vs)
|
|
yield page
|
|
page = []
|
|
except StopIteration:
|
|
if page:
|
|
yield page
|
|
return
|
|
|
|
def execute_batch(cur, sql, argslist, page_size=100, place_holder = '%'):
|
|
r"""Execute groups of statements in fewer server roundtrips.
|
|
|
|
Execute *sql* several times, against all parameters set (sequences or
|
|
mappings) found in *argslist*.
|
|
|
|
The function is semantically similar to
|
|
|
|
.. parsed-literal::
|
|
|
|
*cur*\.\ `~cursor.executemany`\ (\ *sql*\ , *argslist*\ )
|
|
|
|
but has a different implementation: Psycopg will join the statements into
|
|
fewer multi-statement commands, each one containing at most *page_size*
|
|
statements, resulting in a reduced number of server roundtrips.
|
|
|
|
After the execution of the function the `cursor.rowcount` property will
|
|
**not** contain a total result.
|
|
|
|
"""
|
|
for page in _paginate(argslist, page_size=page_size):
|
|
sqls = [cur.mogrify(sql, args, place_holder) for args in page]
|
|
cur.execute(b";".join(sqls))
|
|
|
|
|
|
def execute_values(cur, sql, argslist, template=None, page_size=100, fetch=False, place_holder = '%'):
|
|
'''Execute a statement using :sql:`VALUES` with a sequence of parameters.
|
|
|
|
:param cur: the cursor to use to execute the query.
|
|
|
|
:param sql: the query to execute. It must contain a single ``%s``
|
|
placeholder, which will be replaced by a `VALUES list`__.
|
|
Example: ``"INSERT INTO mytable (id, f1, f2) VALUES %s"``.
|
|
|
|
:param argslist: sequence of sequences or dictionaries with the arguments
|
|
to send to the query. The type and content must be consistent with
|
|
*template*.
|
|
|
|
:param template: the snippet to merge to every item in *argslist* to
|
|
compose the query.
|
|
|
|
- If the *argslist* items are sequences it should contain positional
|
|
placeholders (e.g. ``"(%s, %s, %s)"``, or ``"(%s, %s, 42)``" if there
|
|
are constants value...).
|
|
|
|
- If the *argslist* items are mappings it should contain named
|
|
placeholders (e.g. ``"(%(id)s, %(f1)s, 42)"``).
|
|
|
|
If not specified, assume the arguments are sequence and use a simple
|
|
positional template (i.e. ``(%s, %s, ...)``), with the number of
|
|
placeholders sniffed by the first element in *argslist*.
|
|
|
|
:param page_size: maximum number of *argslist* items to include in every
|
|
statement. If there are more items the function will execute more than
|
|
one statement.
|
|
|
|
:param fetch: if `!True` return the query results into a list (like in a
|
|
`~cursor.fetchall()`). Useful for queries with :sql:`RETURNING`
|
|
clause.
|
|
|
|
.. __: https://www.postgresql.org/docs/current/static/queries-values.html
|
|
|
|
After the execution of the function the `cursor.rowcount` property will
|
|
**not** contain a total result.
|
|
|
|
While :sql:`INSERT` is an obvious candidate for this function it is
|
|
possible to use it with other statements, for example::
|
|
|
|
>>> cur.execute(
|
|
... "create table test (id int primary key, v1 int, v2 int)")
|
|
|
|
>>> execute_values(cur,
|
|
... "INSERT INTO test (id, v1, v2) VALUES %s",
|
|
... [(1, 2, 3), (4, 5, 6), (7, 8, 9)])
|
|
|
|
>>> execute_values(cur,
|
|
... """UPDATE test SET v1 = data.v1 FROM (VALUES %s) AS data (id, v1)
|
|
... WHERE test.id = data.id""",
|
|
... [(1, 20), (4, 50)])
|
|
|
|
>>> cur.execute("select * from test order by id")
|
|
>>> cur.fetchall()
|
|
[(1, 20, 3), (4, 50, 6), (7, 8, 9)])
|
|
|
|
'''
|
|
from psycopg2.sql import Composable
|
|
if isinstance(sql, Composable):
|
|
sql = sql.as_string(cur)
|
|
|
|
# we can't just use sql % vals because vals is bytes: if sql is bytes
|
|
# there will be some decoding error because of stupid codec used, and Py3
|
|
# doesn't implement % on bytes.
|
|
if not isinstance(sql, bytes):
|
|
sql = sql.encode(_ext.encodings[cur.connection.encoding])
|
|
pre, post = _split_sql(sql)
|
|
|
|
result = [] if fetch else None
|
|
for page in _paginate(argslist, page_size=page_size):
|
|
if template is None:
|
|
template = b'(' + b','.join([b'%s'] * len(page[0])) + b')'
|
|
parts = pre[:]
|
|
for args in page:
|
|
parts.append(cur.mogrify(template, args, place_holder))
|
|
parts.append(b',')
|
|
parts[-1:] = post
|
|
cur.execute(b''.join(parts))
|
|
if fetch:
|
|
result.extend(cur.fetchall())
|
|
|
|
return result
|
|
|
|
|
|
def _split_sql(sql):
|
|
"""Split *sql* on a single ``%s`` placeholder.
|
|
|
|
Split on the %s, perform %% replacement and return pre, post lists of
|
|
snippets.
|
|
"""
|
|
curr = pre = []
|
|
post = []
|
|
tokens = _re.split(br'(%.)', sql)
|
|
for token in tokens:
|
|
if len(token) != 2 or token[:1] != b'%':
|
|
curr.append(token)
|
|
continue
|
|
|
|
if token[1:] == b's':
|
|
if curr is pre:
|
|
curr = post
|
|
else:
|
|
raise ValueError(
|
|
"the query contains more than one '%s' placeholder")
|
|
elif token[1:] == b'%':
|
|
curr.append(b'%')
|
|
else:
|
|
raise ValueError("unsupported format character: '%s'"
|
|
% token[1:].decode('ascii', 'replace'))
|
|
|
|
if curr is pre:
|
|
raise ValueError("the query doesn't contain any '%s' placeholder")
|
|
|
|
return pre, post
|
|
|
|
|
|
def execute_prepared_batch(cur, prepared_statement_name, args_list, page_size=100):
|
|
r"""
|
|
[openGauss libpq only]
|
|
|
|
Execute prepared statement with api `PQexecPreparedBatch` (new api in openGauss's libpq.so)
|
|
|
|
Arguments:
|
|
argslist: Two-dimensional list, if empty, return directly
|
|
Each parameter in the argument list must be a string or be string-able(should implements `__str__` magic method)
|
|
"""
|
|
if len(args_list) == 0:
|
|
return
|
|
|
|
nparams = len(args_list[0])
|
|
for page in _paginate(args_list, page_size=page_size, to_byte=True):
|
|
cur.execute_prepared_batch(prepared_statement_name, nparams, len(page), page)
|
|
|
|
|
|
def execute_params_batch(cur, sql_format, args_list, page_size=100):
|
|
r"""
|
|
[openGauss libpq only]
|
|
|
|
Execute sql with api `PQexecParamsBatch` (new api in openGauss's libpq.so)
|
|
|
|
Arguments:
|
|
argslist: Two-dimensional list, if empty, return directly
|
|
Each parameter in the argument list must be a string or be string-able(should implements `__str__` magic method)
|
|
"""
|
|
if len(args_list) == 0:
|
|
return
|
|
|
|
nparams = len(args_list[0])
|
|
for page in _paginate(args_list, page_size=page_size, to_byte=True):
|
|
cur.execute_params_batch(sql_format, nparams, len(page), page)
|