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57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
import time
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from typing import Any, Callable, Dict, Iterable, List, Mapping, Sequence, TypeVar, Union
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from psycopg2.extensions import connection, cursor
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from psycopg2.sql import Composable
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CursorObj = TypeVar("CursorObj", bound=cursor)
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Query = Union[str, bytes, Composable]
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Params = Union[Sequence[object], Mapping[str, object], None]
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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(
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self: CursorObj, action: Callable[[Query, ParamsT], None], sql: Query, params: ParamsT
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) -> None:
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start = time.time()
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try:
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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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{
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"time": f"{duration:.3f}",
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}
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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, vars: Params = None) -> None:
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wrapper_execute(self, super().execute, query, vars)
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def executemany(self, query: Query, vars: Iterable[Params]) -> None: # nocoverage
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wrapper_execute(self, super().executemany, query, vars)
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CursorT = TypeVar("CursorT", bound=cursor)
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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 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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