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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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