psycopg2/lib/extras.py
2006-09-10 14:51:43 +00:00

237 lines
7.2 KiB
Python

"""Miscellaneous goodies for psycopg2
This module is a generic place used to hold little helper functions
and classes untill a better place in the distribution is found.
"""
# psycopg/extras.py - miscellaneous extra goodies for psycopg
#
# Copyright (C) 2003-2004 Federico Di Gregorio <fog@debian.org>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any later
# version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTIBILITY
# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
import os
import time
try:
import logging
except:
logging = None
from psycopg2.extensions import cursor as _cursor
from psycopg2.extensions import connection as _connection
from psycopg2.extensions import register_adapter as _RA
from psycopg2.extensions import adapt as _A
class DictConnection(_connection):
"""A connection that uses DictCursor automatically."""
def cursor(self):
return _connection.cursor(self, cursor_factory=DictCursor)
class DictCursor(_cursor):
"""A cursor that keeps a list of column name -> index mappings."""
__query_executed = 0
def execute(self, query, vars=None, async=0):
self.row_factory = DictRow
self.index = {}
self.__query_executed = 1
return _cursor.execute(self, query, vars, async)
def callproc(self, procname, vars=None):
self.row_factory = DictRow
self.index = {}
self.__query_executed = 1
return _cursor.callproc(self, procname, vars)
def _build_index(self):
if self.__query_executed == 1 and self.description:
for i in range(len(self.description)):
self.index[self.description[i][0]] = i
self.__query_executed = 0
def fetchone(self):
res = _cursor.fetchone(self)
if self.__query_executed:
self._build_index()
return res
def fetchmany(self, size=None):
res = _cursor.fetchmany(self, size)
if self.__query_executed:
self._build_index()
return res
def fetchall(self):
res = _cursor.fetchall(self)
if self.__query_executed:
self._build_index()
return res
def next(self):
res = _cursor.fetchone(self)
if res is None:
raise StopIteration()
if self.__query_executed:
self._build_index()
return res
class DictRow(list):
"""A row object that allow by-colun-name access to data."""
def __init__(self, cursor):
self._index = cursor.index
self[:] = [None] * len(cursor.description)
def __getitem__(self, x):
if type(x) != int:
x = self._index[x]
return list.__getitem__(self, x)
def items(self):
res = []
for n, v in self._index.items():
res.append((n, list.__getitem__(self, v)))
return res
def keys(self):
return self._index.keys()
def values(self):
return tuple(self[:])
def has_key(self, x):
return self._index.has_key(x)
def get(self, x, default=None):
try:
return self[x]
except:
return default
class SQL_IN(object):
"""Adapt any iterable to an SQL quotable object."""
def __init__(self, seq):
self._seq = seq
def prepare(self, conn):
self._conn = conn
def getquoted(self):
# this is the important line: note how every object in the
# list is adapted and then how getquoted() is called on it
pobjs = [_A(o) for o in self._seq]
for obj in pobjs:
if hasattr(obj, 'prepare'):
obj.prepare(self._conn)
qobjs = [str(o.getquoted()) for o in pobjs]
return '(' + ', '.join(qobjs) + ')'
__str__ = getquoted
_RA(tuple, SQL_IN)
class LoggingConnection(_connection):
"""A connection that logs all queries to a file or logger object."""
def initialize(self, logobj):
"""Initialize the connection to log to `logobj`.
The `logobj` parameter can be an open file object or a Logger instance
from the standard logging module.
"""
self._logobj = logobj
if logging and isinstance(logobj, logging.Logger):
self.log = self._logtologger
else:
self.log = self._logtofile
def filter(self, msg, curs):
"""Filter the query before logging it.
This is the method to overwrite to filter unwanted queries out of the
log or to add some extra data to the output. The default implementation
just does nothing.
"""
return msg
def _logtofile(self, msg, curs):
msg = self.filter(msg, curs)
if msg: self._logobj.write(msg + os.linesep)
def _logtologger(self, msg, curs):
msg = self.filter(msg, curs)
if msg: self._logobj.debug(msg)
def _check(self):
if not hasattr(self, '_logobj'):
raise self.ProgrammingError(
"LoggingConnection object has not been initialize()d")
def cursor(self):
self._check()
return _connection.cursor(self, cursor_factory=LoggingCursor)
class LoggingCursor(_cursor):
"""A cursor that logs queries using its connection logging facilities."""
def execute(self, query, vars=None, async=0):
try:
return _cursor.execute(self, query, vars, async)
finally:
self.connection.log(self.query, self)
def callproc(self, procname, vars=None):
try:
return _cursor.callproc(self, procname, vars)
finally:
self.connection.log(self.query, self)
class MinTimeLoggingConnection(LoggingConnection):
"""A connection that logs queries based on execution time.
This is just an example of how to sub-class LoggingConnection to provide
some extra filtering for the logged queries. Both the `.inizialize()` and
`.filter()` methods are overwritten to make sure that only queries
executing for more than `mintime` ms are logged.
Note that this connection uses the specialized cursor MinTimeLoggingCursor.
"""
def initialize(self, logobj, mintime=0):
LoggingConnection.initialize(self, logobj)
self._mintime = mintime
def filter(self, msg, curs):
t = (time.time() - curs.timestamp) * 1000
if t > self._mintime:
return msg + os.linesep + " (execution time: %d ms)" % t
def cursor(self):
self._check()
return _connection.cursor(self, cursor_factory=MinTimeLoggingCursor)
class MinTimeLoggingCursor(LoggingCursor):
"""The cursor sub-class companion to MinTimeLoggingConnection."""
def execute(self, query, vars=None, async=0):
self.timestamp = time.time()
return LoggingCursor.execute(self, query, vars, async)
def callproc(self, procname, vars=None):
self.timestamp = time.time()
return LoggingCursor.execute(self, procname, vars)