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metrics.py
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""" NOTE: This file contains experimental code that may be changed or removed at any time without prior notice. """ import time from typing import Any, Optional, TYPE_CHECKING, Union import sentry_sdk from sentry_sdk.utils import safe_repr if TYPE_CHECKING: from sentry_sdk._types import Metric, MetricType def _capture_metric( name, # type: str metric_type, # type: MetricType value, # type: float unit=None, # type: Optional[str] attributes=None, # type: Optional[dict[str, Any]] ): # type: (...) -> None client = sentry_sdk.get_client() attrs = {} # type: dict[str, Union[str, bool, float, int]] if attributes: for k, v in attributes.items(): attrs[k] = ( v if ( isinstance(v, str) or isinstance(v, int) or isinstance(v, bool) or isinstance(v, float) ) else safe_repr(v) ) metric = { "timestamp": time.time(), "trace_id": None, "span_id": None, "name": name, "type": metric_type, "value": float(value), "unit": unit, "attributes": attrs, } # type: Metric client._capture_metric(metric) def count( name, # type: str value, # type: float unit=None, # type: Optional[str] attributes=None, # type: Optional[dict[str, Any]] ): # type: (...) -> None _capture_metric(name, "counter", value, unit, attributes) def gauge( name, # type: str value, # type: float unit=None, # type: Optional[str] attributes=None, # type: Optional[dict[str, Any]] ): # type: (...) -> None _capture_metric(name, "gauge", value, unit, attributes) def distribution( name, # type: str value, # type: float unit=None, # type: Optional[str] attributes=None, # type: Optional[dict[str, Any]] ): # type: (...) -> None _capture_metric(name, "distribution", value, unit, attributes)
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