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

📁 ..
📄 __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_batcher.py

import os
import random
import threading
from datetime import datetime, timezone
from typing import Optional, List, Callable, TYPE_CHECKING, Any, Union

from sentry_sdk.utils import format_timestamp, safe_repr
from sentry_sdk.envelope import Envelope, Item, PayloadRef

if TYPE_CHECKING:
    from sentry_sdk._types import Metric

class MetricsBatcher:
    MAX_METRICS_BEFORE_FLUSH = 1000
    MAX_METRICS_BEFORE_DROP = 10_000
    FLUSH_WAIT_TIME = 5.0

def __init__(
        self,
        capture_func,  # type: Callable[[Envelope], None]
        record_lost_func,  # type: Callable[..., None]
    ):
        # type: (...) -> None
        self._metric_buffer = []  # type: List[Metric]
        self._capture_func = capture_func
        self._record_lost_func = record_lost_func
        self._running = True
        self._lock = threading.Lock()

self._flush_event = threading.Event()  # type: threading.Event

self._flusher = None  # type: Optional[threading.Thread]
        self._flusher_pid = None  # type: Optional[int]

def _ensure_thread(self):
        # type: (...) -> bool
        if not self._running:
            return False

pid = os.getpid()
        if self._flusher_pid == pid:
            return True

with self._lock:
            if self._flusher_pid == pid:
                return True

self._flusher_pid = pid

self._flusher = threading.Thread(target=self._flush_loop)
            self._flusher.daemon = True

try:
                self._flusher.start()
            except RuntimeError:
                self._running = False
                return False

return True

def _flush_loop(self):
        # type: (...) -> None
        while self._running:
            self._flush_event.wait(self.FLUSH_WAIT_TIME + random.random())
            self._flush_event.clear()
            self._flush()

def add(
        self,
        metric,  # type: Metric
    ):
        # type: (...) -> None
        if not self._ensure_thread() or self._flusher is None:
            return None

with self._lock:
            if len(self._metric_buffer) >= self.MAX_METRICS_BEFORE_DROP:
                self._record_lost_func(
                    reason="queue_overflow",
                    data_category="trace_metric",
                    quantity=1,
                )
                return None

self._metric_buffer.append(metric)
            if len(self._metric_buffer) >= self.MAX_METRICS_BEFORE_FLUSH:
                self._flush_event.set()

def kill(self):
        # type: (...) -> None
        if self._flusher is None:
            return

self._running = False
        self._flush_event.set()
        self._flusher = None

def flush(self):
        # type: (...) -> None
        self._flush()

@staticmethod
    def _metric_to_transport_format(metric):
        # type: (Metric) -> Any
        def format_attribute(val):
            # type: (Union[int, float, str, bool]) -> Any
            if isinstance(val, bool):
                return {"value": val, "type": "boolean"}
            if isinstance(val, int):
                return {"value": val, "type": "integer"}
            if isinstance(val, float):
                return {"value": val, "type": "double"}
            if isinstance(val, str):
                return {"value": val, "type": "string"}
            return {"value": safe_repr(val), "type": "string"}

res = {
            "timestamp": metric["timestamp"],
            "trace_id": metric["trace_id"],
            "name": metric["name"],
            "type": metric["type"],
            "value": metric["value"],
            "attributes": {
                k: format_attribute(v) for (k, v) in metric["attributes"].items()
            },
        }

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

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

return res

def _flush(self):
        # type: (...) -> Optional[Envelope]

envelope = Envelope(
            headers={"sent_at": format_timestamp(datetime.now(timezone.utc))}
        )
        with self._lock:
            if len(self._metric_buffer) == 0:
                return None

envelope.add_item(
                Item(
                    type="trace_metric",
                    content_type="application/vnd.sentry.items.trace-metric+json",
                    headers={
                        "item_count": len(self._metric_buffer),
                    },
                    payload=PayloadRef(
                        json={
                            "items": [
                                self._metric_to_transport_format(metric)
                                for metric in self._metric_buffer
                            ]
                        }
                    ),
                )
            )
            self._metric_buffer.clear()

self._capture_func(envelope)
        return envelope

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Editing: _metrics_batcher.py

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