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opt / hc_python / lib / python3.12 / site-packages / sentry_sdk /

?? ..
?? __init__.py(1.46 KB)
?? __pycache__
?? _batcher.py(5.7 KB)
?? _compat.py(3 KB)
?? _init_implementation.py(2.43 KB)
?? _log_batcher.py(1.88 KB)
?? _lru_cache.py(1.14 KB)
?? _metrics_batcher.py(1.21 KB)
?? _queue.py(10.98 KB)
?? _span_batcher.py(8.12 KB)
?? _types.py(13.16 KB)
?? _werkzeug.py(3.85 KB)
?? ai
?? api.py(15.59 KB)
?? attachments.py(2.95 KB)
?? client.py(49.95 KB)
?? consts.py(61.95 KB)
?? crons
?? debug.py(959 B)
?? envelope.py(9.37 KB)
?? feature_flags.py(2.5 KB)
?? hub.py(24.54 KB)
?? integrations
?? logger.py(2.6 KB)
?? metrics.py(1.42 KB)
?? monitor.py(4.47 KB)
?? profiler
?? py.typed(0 B)
?? scope.py(74.09 KB)
?? scrubber.py(5.99 KB)
?? serializer.py(12.82 KB)
?? session.py(5.08 KB)
?? sessions.py(8.59 KB)
?? spotlight.py(11.85 KB)
?? traces.py(25.08 KB)
?? tracing.py(50.33 KB)
?? tracing_utils.py(54.36 KB)
?? transport.py(44.41 KB)
?? types.py(1.24 KB)
?? utils.py(65.96 KB)
?? worker.py(10.91 KB)

Editing: _metrics_batcher.py

from typing import TYPE_CHECKING

from sentry_sdk._batcher import Batcher
from sentry_sdk.utils import serialize_attribute

if TYPE_CHECKING:
    from typing import Any

from sentry_sdk._types import Metric

class MetricsBatcher(Batcher["Metric"]):
    MAX_BEFORE_FLUSH = 1000
    MAX_BEFORE_DROP = 10_000
    FLUSH_WAIT_TIME = 5.0

TYPE = "trace_metric"
    CONTENT_TYPE = "application/vnd.sentry.items.trace-metric+json"

@staticmethod
    def _to_transport_format(item: "Metric") -> "Any":
        res = {
            "timestamp": item["timestamp"],
            "trace_id": item["trace_id"],
            "name": item["name"],
            "type": item["type"],
            "value": item["value"],
            "attributes": {
                k: serialize_attribute(v) for (k, v) in item["attributes"].items()
            },
        }

if item.get("span_id") is not None:
            res["span_id"] = item["span_id"]

if item.get("unit") is not None:
            res["unit"] = item["unit"]

return res

def _record_lost(self, item: "Metric") -> None:
        self._record_lost_func(
            reason="queue_overflow",
            data_category="trace_metric",
            quantity=1,
        )

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Editing: _metrics_batcher.py

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