from __future__ import absolute_import import time from psycopg2.extensions import cursor, connection from typing import Callable, Optional, Iterable, Any, Dict, Union, TypeVar, \ Mapping, Sequence from six import text_type CursorObj = TypeVar('CursorObj', bound=cursor) # Similar to the tracking done in Django's CursorDebugWrapper, but done at the # psycopg2 cursor level so it works with SQLAlchemy. def wrapper_execute(self, action, sql, params=()): # type: (CursorObj, Callable[[text_type, Optional[Union[Iterable[Any], Dict[text_type, Any]]]], CursorObj], text_type, Union[Iterable[Any], Dict[text_type, Any]]) -> CursorObj start = time.time() try: return action(sql, params) finally: stop = time.time() duration = stop - start self.connection.queries.append({ 'time': "%.3f" % duration, }) class TimeTrackingCursor(cursor): """A psycopg2 cursor class that tracks the time spent executing queries.""" def execute(self, query, vars=None): # type: (text_type, Optional[Union[Iterable[Any], Dict[text_type, Any]]]) -> TimeTrackingCursor return wrapper_execute(self, super(TimeTrackingCursor, self).execute, query, vars) def executemany(self, query, vars): # type: (text_type, Iterable[Any]) -> TimeTrackingCursor return wrapper_execute(self, super(TimeTrackingCursor, self).executemany, query, vars) class TimeTrackingConnection(connection): """A psycopg2 connection class that uses TimeTrackingCursors.""" def __init__(self, *args, **kwargs): # type: (Sequence[Any], Mapping[text_type, Any]) -> None self.queries = [] # type: List[Dict[str, str]] super(TimeTrackingConnection, self).__init__(*args, **kwargs) def cursor(self, name=None): # type: (Optional[text_type]) -> TimeTrackingCursor if name is None: return super(TimeTrackingConnection, self).cursor(cursor_factory=TimeTrackingCursor) else: return super(TimeTrackingConnection, self).cursor(name, cursor_factory=TimeTrackingCursor) def reset_queries(): # type: () -> None from django.db import connections for conn in connections.all(): if conn.connection is not None: conn.connection.queries = []