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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)