# Source code for opentelemetry.sdk.metrics._internal.instrument

    # 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, unused-import
    from __future__ import annotations

    from logging import getLogger
    from time import time_ns
    from typing import Generator, Iterable, List, Sequence, Union

    # This kind of import is needed to avoid Sphinx errors.
    import opentelemetry.sdk.metrics
    from opentelemetry.context import Context, get_current
    from opentelemetry.metrics import CallbackT
    from opentelemetry.metrics import Counter as APICounter
    from opentelemetry.metrics import Histogram as APIHistogram
    from opentelemetry.metrics import ObservableCounter as APIObservableCounter
    from opentelemetry.metrics import ObservableGauge as APIObservableGauge
    from opentelemetry.metrics import (
        ObservableUpDownCounter as APIObservableUpDownCounter,
    )
    from opentelemetry.metrics import UpDownCounter as APIUpDownCounter
    from opentelemetry.metrics import _Gauge as APIGauge
    from opentelemetry.metrics._internal.instrument import (
        CallbackOptions,
        _MetricsHistogramAdvisory,
    )
    from opentelemetry.sdk.metrics._internal.measurement import Measurement
    from opentelemetry.sdk.util.instrumentation import InstrumentationScope

    _logger = getLogger(__name__)

    _ERROR_MESSAGE = (
        "Expected ASCII string of maximum length 63 characters but got {}"
    )

    class _Synchronous:
        def __init__(
            self,
            name: str,
            instrumentation_scope: InstrumentationScope,
            measurement_consumer: "opentelemetry.sdk.metrics.MeasurementConsumer",
            unit: str = "",
            description: str = "",
        ):
            # pylint: disable=no-member
            result = self._check_name_unit_description(name, unit, description)

            if result["name"] is None:
                # pylint: disable=broad-exception-raised
                raise Exception(_ERROR_MESSAGE.format(name))

            if result["unit"] is None:
                # pylint: disable=broad-exception-raised
                raise Exception(_ERROR_MESSAGE.format(unit))

            name = result["name"]
            unit = result["unit"]
            description = result["description"]

            self.name = name.lower()
            self.unit = unit
            self.description = description
            self.instrumentation_scope = instrumentation_scope
            self._measurement_consumer = measurement_consumer
            super().__init__(name, unit=unit, description=description)

    class _Asynchronous:
        def __init__(
            self,
            name: str,
            instrumentation_scope: InstrumentationScope,
            measurement_consumer: "opentelemetry.sdk.metrics.MeasurementConsumer",
            callbacks: Iterable[CallbackT] | None = None,
            unit: str = "",
            description: str = "",
        ):
            # pylint: disable=no-member
            result = self._check_name_unit_description(name, unit, description)

            if result["name"] is None:
                # pylint: disable=broad-exception-raised
                raise Exception(_ERROR_MESSAGE.format(name))

            if result["unit"] is None:
                # pylint: disable=broad-exception-raised
                raise Exception(_ERROR_MESSAGE.format(unit))

            name = result["name"]
            unit = result["unit"]
            description = result["description"]

            self.name = name.lower()
            self.unit = unit
            self.description = description
            self.instrumentation_scope = instrumentation_scope
            self._measurement_consumer = measurement_consumer
            super().__init__(name, callbacks, unit=unit, description=description)

            self._callbacks: List[CallbackT] = []

            if callbacks is not None:
                for callback in callbacks:
                    if isinstance(callback, Generator):
                        # advance generator to it's first yield
                        next(callback)

                        def inner(
                            options: CallbackOptions,
                            callback=callback,
                        ) -> Iterable[Measurement]:
                            try:
                                return callback.send(options)
                            except StopIteration:
                                return []

                        self._callbacks.append(inner)
                    else:
                        self._callbacks.append(callback)

        def callback(
            self, callback_options: CallbackOptions
        ) -> Iterable[Measurement]:
            for callback in self._callbacks:
                try:
                    for api_measurement in callback(callback_options):
                        yield Measurement(
                            api_measurement.value,
                            time_unix_nano=time_ns(),
                            instrument=self,
                            context=api_measurement.context or get_current(),
                            attributes=api_measurement.attributes,
                        )
                except Exception:  # pylint: disable=broad-exception-caught
                    _logger.exception(
                        "Callback failed for instrument %s.", self.name
                    )

    class Counter(_Synchronous, APICounter):
        def __new__(cls, *args, **kwargs):
            if cls is Counter:
                raise TypeError("Counter must be instantiated via a meter.")
            return super().__new__(cls)

        def add(
            self,
            amount: Union[int, float],
            attributes: dict[str, str] | None = None,
            context: Context | None = None,
        ):
            if amount < 0:
                _logger.warning(
                    "Add amount must be non-negative on Counter %s.", self.name
                )
                return
            time_unix_nano = time_ns()
            self._measurement_consumer.consume_measurement(
                Measurement(
                    amount,
                    time_unix_nano,
                    self,
                    context or get_current(),
                    attributes,
                )
            )

    class UpDownCounter(_Synchronous, APIUpDownCounter):
        def __new__(cls, *args, **kwargs):
            if cls is UpDownCounter:
                raise TypeError("UpDownCounter must be instantiated via a meter.")
            return super().__new__(cls)

        def add(
            self,
            amount: Union[int, float],
            attributes: dict[str, str] | None = None,
            context: Context | None = None,
        ):
            time_unix_nano = time_ns()
            self._measurement_consumer.consume_measurement(
                Measurement(
                    amount,
                    time_unix_nano,
                    self,
                    context or get_current(),
                    attributes,
                )
            )

    class ObservableCounter(_Asynchronous, APIObservableCounter):
        def __new__(cls, *args, **kwargs):
            if cls is ObservableCounter:
                raise TypeError(
                    "ObservableCounter must be instantiated via a meter."
                )
            return super().__new__(cls)

    class ObservableUpDownCounter(_Asynchronous, APIObservableUpDownCounter):
        def __new__(cls, *args, **kwargs):
            if cls is ObservableUpDownCounter:
                raise TypeError(
                    "ObservableUpDownCounter must be instantiated via a meter."
                )
            return super().__new__(cls)

    class Histogram(_Synchronous, APIHistogram):
        def __init__(
            self,
            name: str,
            instrumentation_scope: InstrumentationScope,
            measurement_consumer: "opentelemetry.sdk.metrics.MeasurementConsumer",
            unit: str = "",
            description: str = "",
            explicit_bucket_boundaries_advisory: Sequence[float] | None = None,
        ):
            super().__init__(
                name,
                unit=unit,
                description=description,
                instrumentation_scope=instrumentation_scope,
                measurement_consumer=measurement_consumer,
            )
            self._advisory = _MetricsHistogramAdvisory(
                explicit_bucket_boundaries=explicit_bucket_boundaries_advisory
            )

        def __new__(cls, *args, **kwargs):
            if cls is Histogram:
                raise TypeError("Histogram must be instantiated via a meter.")
            return super().__new__(cls)

        def record(
            self,
            amount: Union[int, float],
            attributes: dict[str, str] | None = None,
            context: Context | None = None,
        ):
            if amount < 0:
                _logger.warning(
                    "Record amount must be non-negative on Histogram %s.",
                    self.name,
                )
                return
            time_unix_nano = time_ns()
            self._measurement_consumer.consume_measurement(
                Measurement(
                    amount,
                    time_unix_nano,
                    self,
                    context or get_current(),
                    attributes,
                )
            )

    class Gauge(_Synchronous, APIGauge):
        def __new__(cls, *args, **kwargs):
            if cls is Gauge:
                raise TypeError("Gauge must be instantiated via a meter.")
            return super().__new__(cls)

        def set(
            self,
            amount: Union[int, float],
            attributes: dict[str, str] | None = None,
            context: Context | None = None,
        ):
            time_unix_nano = time_ns()
            self._measurement_consumer.consume_measurement(
                Measurement(
                    amount,
                    time_unix_nano,
                    self,
                    context or get_current(),
                    attributes,
                )
            )

    class ObservableGauge(_Asynchronous, APIObservableGauge):
        def __new__(cls, *args, **kwargs):
            if cls is ObservableGauge:
                raise TypeError(
                    "ObservableGauge must be instantiated via a meter."
                )
            return super().__new__(cls)

    # Below classes exist to prevent the direct instantiation
    class _Counter(Counter):
        pass

    class _UpDownCounter(UpDownCounter):
        pass

    class _ObservableCounter(ObservableCounter):
        pass

    class _ObservableUpDownCounter(ObservableUpDownCounter):
        pass

    class _Histogram(Histogram):
        pass

    class _Gauge(Gauge):
        pass

    class _ObservableGauge(ObservableGauge):
        pass