mirror of https://github.com/zulip/zulip.git
56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
import time
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from psycopg2.extensions import cursor, connection
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from psycopg2.sql import Composable
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from typing import Callable, Optional, Iterable, Any, Dict, List, Union, TypeVar, \
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Mapping, Sequence
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CursorObj = TypeVar('CursorObj', bound=cursor)
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Query = Union[str, Composable]
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Params = Union[Sequence[object], Mapping[str, object]]
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ParamsT = TypeVar('ParamsT')
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# Similar to the tracking done in Django's CursorDebugWrapper, but done at the
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# psycopg2 cursor level so it works with SQLAlchemy.
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def wrapper_execute(self: CursorObj,
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action: Callable[[Query, ParamsT], CursorObj],
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sql: Query,
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params: ParamsT) -> CursorObj:
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start = time.time()
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try:
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return action(sql, params)
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finally:
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stop = time.time()
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duration = stop - start
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self.connection.queries.append({
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'time': f"{duration:.3f}",
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})
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class TimeTrackingCursor(cursor):
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"""A psycopg2 cursor class that tracks the time spent executing queries."""
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def execute(self, query: Query,
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vars: Optional[Params]=None) -> 'TimeTrackingCursor':
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return wrapper_execute(self, super().execute, query, vars)
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def executemany(self, query: Query,
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vars: Iterable[Params]) -> 'TimeTrackingCursor': # nocoverage
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return wrapper_execute(self, super().executemany, query, vars)
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class TimeTrackingConnection(connection):
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"""A psycopg2 connection class that uses TimeTrackingCursors."""
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def __init__(self, *args: Any, **kwargs: Any) -> None:
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self.queries: List[Dict[str, str]] = []
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super().__init__(*args, **kwargs)
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def cursor(self, *args: Any, **kwargs: Any) -> TimeTrackingCursor:
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kwargs.setdefault('cursor_factory', TimeTrackingCursor)
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return connection.cursor(self, *args, **kwargs)
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def reset_queries() -> None:
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from django.db import connections
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for conn in connections.all():
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if conn.connection is not None:
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conn.connection.queries = []
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