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?? ..
?? __init__.py(1.38 KB)
?? __pycache__
?? _compat.py(3.04 KB)
?? _init_implementation.py(2.5 KB)
?? _log_batcher.py(5.37 KB)
?? _lru_cache.py(1.2 KB)
?? _metrics_batcher.py(4.92 KB)
?? _queue.py(10.99 KB)
?? _types.py(10.18 KB)
?? _werkzeug.py(3.65 KB)
?? ai
?? api.py(14.92 KB)
?? attachments.py(3.04 KB)
?? client.py(41.11 KB)
?? consts.py(52.47 KB)
?? crons
?? debug.py(1019 B)
?? envelope.py(10.23 KB)
?? feature_flags.py(2.18 KB)
?? hub.py(25.14 KB)
?? integrations
?? logger.py(2.73 KB)
?? metrics.py(2 KB)
?? monitor.py(3.55 KB)
?? profiler
?? py.typed(0 B)
?? scope.py(63.89 KB)
?? scrubber.py(5.92 KB)
?? serializer.py(13.22 KB)
?? session.py(5.46 KB)
?? sessions.py(8.96 KB)
?? spotlight.py(8.47 KB)
?? tracing.py(50.53 KB)
?? tracing_utils.py(39.59 KB)
?? transport.py(31.13 KB)
?? types.py(1.24 KB)
?? utils.py(62.4 KB)
?? worker.py(4.36 KB)

Editing: metrics.py

"""
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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Editing: metrics.py

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