psycopg2/lib/extras.py

"""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 adapt as _A


class DictCursorBase(_cursor):
    """Base class for all dict-like cursors."""

    def __init__(self, *args, **kwargs):
        if kwargs.has_key('row_factory'):
            row_factory = kwargs['row_factory']
            del kwargs['row_factory']
        else:
            raise NotImplementedError(
                "DictCursorBase can't be instantiated without a row factory.")
        _cursor.__init__(self, *args, **kwargs)
        self._query_executed = 0
        self.row_factory = row_factory

    def fetchone(self):
        if self._query_executed:
            self._build_index()
        return _cursor.fetchone(self)

    def fetchmany(self, size=None):
        if self._query_executed:
            self._build_index()
        return _cursor.fetchmany(self, size)

    def fetchall(self):
        if self._query_executed:
            self._build_index()
        return _cursor.fetchall(self)
    
    def next(self):
        if self._query_executed:
            self._build_index()
        res = _cursor.fetchone(self)
        if res is None:
            raise StopIteration()
        return res

class DictConnection(_connection):
    """A connection that uses DictCursor automatically."""
    def cursor(self, name=None):
        if name is None:
            return _connection.cursor(self, cursor_factory=DictCursor)
        else:
	    return _connection.cursor(self, name, cursor_factory=DictCursor)

class DictCursor(DictCursorBase):
    """A cursor that keeps a list of column name -> index mappings."""

    def __init__(self, *args, **kwargs):
        kwargs['row_factory'] = DictRow
        DictCursorBase.__init__(self, *args, **kwargs)

    def execute(self, query, vars=None, async=0):
        self.index = {}
        self._query_executed = 1
        return _cursor.execute(self, query, vars, async)
    
    def callproc(self, procname, vars=None):
        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           

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

    def iteritems(self):
        for n, v in self._index.items():
            yield n, list.__getitem__(self, v)


class RealDictConnection(_connection):
    """A connection that uses RealDictCursor automatically."""
    def cursor(self, name=None):
        if name is None:
            return _connection.cursor(self, cursor_factory=RealDictCursor)
        else:
	    return _connection.cursor(self, name, cursor_factory=RealDictCursor)

class RealDictCursor(DictCursorBase):
    """A cursor that uses a real dict as the base type for rows.

    Note that this cursor is extremely specialized and does not allow
    the normal access (using integer indices) to fetched data. If you need
    to access database rows both as a dictionary and a list, then use
    the generic DictCursor instead of RealDictCursor.
    """

    def __init__(self, *args, **kwargs):
        kwargs['row_factory'] = RealDictRow
        DictCursorBase.__init__(self, *args, **kwargs)

    def execute(self, query, vars=None, async=0):
        self.column_mapping = []
        self._query_executed = 1
        return _cursor.execute(self, query, vars, async)
    
    def callproc(self, procname, vars=None):
        self.column_mapping = []
        self._query_executed = 1
        return _cursor.callproc(self, procname, vars)   

    def _build_index(self):
        if self._query_executed == 1 and self.description:
            for item in self.description:
                self.column_mapping.append(item[0])
            self._query_executed = 0           

class RealDictRow(dict):
    def __init__(self, cursor):
        dict.__init__(self)
        self._column_mapping = cursor.column_mapping

    def __setitem__(self, name, value):
        if type(name) == type(0):
            name = self._column_mapping[name]
        return dict.__setitem__(self, name, value)


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, name=None):
        self._check()
	if name is None:
            return _connection.cursor(self, cursor_factory=LoggingCursor)
        else:
	    return _connection.cursor(self, name, 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, name=None):
        self._check()
	if name is None:
            return _connection.cursor(self, cursor_factory=MinTimeLoggingCursor)
        else:
	    return _connection.cursor(self, name, 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)