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Diffstat (limited to '.venv/lib/python3.12/site-packages/opentelemetry/metrics/_internal/instrument.py')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/opentelemetry/metrics/_internal/instrument.py | 530 |
1 files changed, 530 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/opentelemetry/metrics/_internal/instrument.py b/.venv/lib/python3.12/site-packages/opentelemetry/metrics/_internal/instrument.py new file mode 100644 index 00000000..0d5ec951 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/opentelemetry/metrics/_internal/instrument.py @@ -0,0 +1,530 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=too-many-ancestors + + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from logging import getLogger +from re import compile as re_compile +from typing import ( + Callable, + Dict, + Generator, + Generic, + Iterable, + Optional, + Sequence, + TypeVar, + Union, +) + +# pylint: disable=unused-import; needed for typing and sphinx +from opentelemetry import metrics +from opentelemetry.context import Context +from opentelemetry.metrics._internal.observation import Observation +from opentelemetry.util.types import ( + Attributes, +) + +_logger = getLogger(__name__) + +_name_regex = re_compile(r"[a-zA-Z][-_./a-zA-Z0-9]{0,254}") +_unit_regex = re_compile(r"[\x00-\x7F]{0,63}") + + +@dataclass(frozen=True) +class _MetricsHistogramAdvisory: + explicit_bucket_boundaries: Optional[Sequence[float]] = None + + +@dataclass(frozen=True) +class CallbackOptions: + """Options for the callback + + Args: + timeout_millis: Timeout for the callback's execution. If the callback does asynchronous + work (e.g. HTTP requests), it should respect this timeout. + """ + + timeout_millis: float = 10_000 + + +InstrumentT = TypeVar("InstrumentT", bound="Instrument") +# pylint: disable=invalid-name +CallbackT = Union[ + Callable[[CallbackOptions], Iterable[Observation]], + Generator[Iterable[Observation], CallbackOptions, None], +] + + +class Instrument(ABC): + """Abstract class that serves as base for all instruments.""" + + @abstractmethod + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + ) -> None: + pass + + @staticmethod + def _check_name_unit_description( + name: str, unit: str, description: str + ) -> Dict[str, Optional[str]]: + """ + Checks the following instrument name, unit and description for + compliance with the spec. + + Returns a dict with keys "name", "unit" and "description", the + corresponding values will be the checked strings or `None` if the value + is invalid. If valid, the checked strings should be used instead of the + original values. + """ + + result: Dict[str, Optional[str]] = {} + + if _name_regex.fullmatch(name) is not None: + result["name"] = name + else: + result["name"] = None + + if unit is None: + unit = "" + if _unit_regex.fullmatch(unit) is not None: + result["unit"] = unit + else: + result["unit"] = None + + if description is None: + result["description"] = "" + else: + result["description"] = description + + return result + + +class _ProxyInstrument(ABC, Generic[InstrumentT]): + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + ) -> None: + self._name = name + self._unit = unit + self._description = description + self._real_instrument: Optional[InstrumentT] = None + + def on_meter_set(self, meter: "metrics.Meter") -> None: + """Called when a real meter is set on the creating _ProxyMeter""" + + # We don't need any locking on proxy instruments because it's OK if some + # measurements get dropped while a real backing instrument is being + # created. + self._real_instrument = self._create_real_instrument(meter) + + @abstractmethod + def _create_real_instrument(self, meter: "metrics.Meter") -> InstrumentT: + """Create an instance of the real instrument. Implement this.""" + + +class _ProxyAsynchronousInstrument(_ProxyInstrument[InstrumentT]): + def __init__( + self, + name: str, + callbacks: Optional[Sequence[CallbackT]] = None, + unit: str = "", + description: str = "", + ) -> None: + super().__init__(name, unit, description) + self._callbacks = callbacks + + +class Synchronous(Instrument): + """Base class for all synchronous instruments""" + + +class Asynchronous(Instrument): + """Base class for all asynchronous instruments""" + + @abstractmethod + def __init__( + self, + name: str, + callbacks: Optional[Sequence[CallbackT]] = None, + unit: str = "", + description: str = "", + ) -> None: + super().__init__(name, unit=unit, description=description) + + +class Counter(Synchronous): + """A Counter is a synchronous `Instrument` which supports non-negative increments.""" + + @abstractmethod + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + pass + + +class NoOpCounter(Counter): + """No-op implementation of `Counter`.""" + + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + ) -> None: + super().__init__(name, unit=unit, description=description) + + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + return super().add(amount, attributes=attributes, context=context) + + +class _ProxyCounter(_ProxyInstrument[Counter], Counter): + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + if self._real_instrument: + self._real_instrument.add(amount, attributes, context) + + def _create_real_instrument(self, meter: "metrics.Meter") -> Counter: + return meter.create_counter( + self._name, + self._unit, + self._description, + ) + + +class UpDownCounter(Synchronous): + """An UpDownCounter is a synchronous `Instrument` which supports increments and decrements.""" + + @abstractmethod + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + pass + + +class NoOpUpDownCounter(UpDownCounter): + """No-op implementation of `UpDownCounter`.""" + + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + ) -> None: + super().__init__(name, unit=unit, description=description) + + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + return super().add(amount, attributes=attributes, context=context) + + +class _ProxyUpDownCounter(_ProxyInstrument[UpDownCounter], UpDownCounter): + def add( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + if self._real_instrument: + self._real_instrument.add(amount, attributes, context) + + def _create_real_instrument(self, meter: "metrics.Meter") -> UpDownCounter: + return meter.create_up_down_counter( + self._name, + self._unit, + self._description, + ) + + +class ObservableCounter(Asynchronous): + """An ObservableCounter is an asynchronous `Instrument` which reports monotonically + increasing value(s) when the instrument is being observed. + """ + + +class NoOpObservableCounter(ObservableCounter): + """No-op implementation of `ObservableCounter`.""" + + def __init__( + self, + name: str, + callbacks: Optional[Sequence[CallbackT]] = None, + unit: str = "", + description: str = "", + ) -> None: + super().__init__( + name, + callbacks, + unit=unit, + description=description, + ) + + +class _ProxyObservableCounter( + _ProxyAsynchronousInstrument[ObservableCounter], ObservableCounter +): + def _create_real_instrument( + self, meter: "metrics.Meter" + ) -> ObservableCounter: + return meter.create_observable_counter( + self._name, + self._callbacks, + self._unit, + self._description, + ) + + +class ObservableUpDownCounter(Asynchronous): + """An ObservableUpDownCounter is an asynchronous `Instrument` which reports additive value(s) (e.g. + the process heap size - it makes sense to report the heap size from multiple processes and sum them + up, so we get the total heap usage) when the instrument is being observed. + """ + + +class NoOpObservableUpDownCounter(ObservableUpDownCounter): + """No-op implementation of `ObservableUpDownCounter`.""" + + def __init__( + self, + name: str, + callbacks: Optional[Sequence[CallbackT]] = None, + unit: str = "", + description: str = "", + ) -> None: + super().__init__( + name, + callbacks, + unit=unit, + description=description, + ) + + +class _ProxyObservableUpDownCounter( + _ProxyAsynchronousInstrument[ObservableUpDownCounter], + ObservableUpDownCounter, +): + def _create_real_instrument( + self, meter: "metrics.Meter" + ) -> ObservableUpDownCounter: + return meter.create_observable_up_down_counter( + self._name, + self._callbacks, + self._unit, + self._description, + ) + + +class Histogram(Synchronous): + """Histogram is a synchronous `Instrument` which can be used to report arbitrary values + that are likely to be statistically meaningful. It is intended for statistics such as + histograms, summaries, and percentile. + """ + + @abstractmethod + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + explicit_bucket_boundaries_advisory: Optional[Sequence[float]] = None, + ) -> None: + pass + + @abstractmethod + def record( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + pass + + +class NoOpHistogram(Histogram): + """No-op implementation of `Histogram`.""" + + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + explicit_bucket_boundaries_advisory: Optional[Sequence[float]] = None, + ) -> None: + super().__init__( + name, + unit=unit, + description=description, + explicit_bucket_boundaries_advisory=explicit_bucket_boundaries_advisory, + ) + + def record( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + return super().record(amount, attributes=attributes, context=context) + + +class _ProxyHistogram(_ProxyInstrument[Histogram], Histogram): + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + explicit_bucket_boundaries_advisory: Optional[Sequence[float]] = None, + ) -> None: + super().__init__(name, unit=unit, description=description) + self._explicit_bucket_boundaries_advisory = ( + explicit_bucket_boundaries_advisory + ) + + def record( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + if self._real_instrument: + self._real_instrument.record(amount, attributes, context) + + def _create_real_instrument(self, meter: "metrics.Meter") -> Histogram: + return meter.create_histogram( + self._name, + self._unit, + self._description, + explicit_bucket_boundaries_advisory=self._explicit_bucket_boundaries_advisory, + ) + + +class ObservableGauge(Asynchronous): + """Asynchronous Gauge is an asynchronous `Instrument` which reports non-additive value(s) (e.g. + the room temperature - it makes no sense to report the temperature value from multiple rooms + and sum them up) when the instrument is being observed. + """ + + +class NoOpObservableGauge(ObservableGauge): + """No-op implementation of `ObservableGauge`.""" + + def __init__( + self, + name: str, + callbacks: Optional[Sequence[CallbackT]] = None, + unit: str = "", + description: str = "", + ) -> None: + super().__init__( + name, + callbacks, + unit=unit, + description=description, + ) + + +class _ProxyObservableGauge( + _ProxyAsynchronousInstrument[ObservableGauge], + ObservableGauge, +): + def _create_real_instrument( + self, meter: "metrics.Meter" + ) -> ObservableGauge: + return meter.create_observable_gauge( + self._name, + self._callbacks, + self._unit, + self._description, + ) + + +class Gauge(Synchronous): + """A Gauge is a synchronous `Instrument` which can be used to record non-additive values as they occur.""" + + @abstractmethod + def set( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + pass + + +class NoOpGauge(Gauge): + """No-op implementation of ``Gauge``.""" + + def __init__( + self, + name: str, + unit: str = "", + description: str = "", + ) -> None: + super().__init__(name, unit=unit, description=description) + + def set( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + return super().set(amount, attributes=attributes, context=context) + + +class _ProxyGauge( + _ProxyInstrument[Gauge], + Gauge, +): + def set( + self, + amount: Union[int, float], + attributes: Optional[Attributes] = None, + context: Optional[Context] = None, + ) -> None: + if self._real_instrument: + self._real_instrument.set(amount, attributes, context) + + def _create_real_instrument(self, meter: "metrics.Meter") -> Gauge: + return meter.create_gauge( + self._name, + self._unit, + self._description, + ) |