# Copyright The OpenTelemetry Authors
# SPDX-License-Identifier: Apache-2.0
#

"""
OpenTelemetry SDK Configurator for Easy Instrumentation with Distros
"""

from __future__ import annotations

import logging
import logging.config
import os
import warnings
from abc import ABC, abstractmethod
from collections.abc import Callable, Mapping, Sequence
from os import environ
from typing import Any, Literal, Protocol

from opentelemetry._logs import set_logger_provider
from opentelemetry.environment_variables import (
    OTEL_LOGS_EXPORTER,
    OTEL_METRICS_EXPORTER,
    OTEL_PYTHON_ID_GENERATOR,
    OTEL_TRACES_EXPORTER,
)
from opentelemetry.metrics import set_meter_provider
from opentelemetry.sdk._logs import (
    LoggerProvider,
    LoggingHandler,
    LogRecordProcessor,
)
from opentelemetry.sdk._logs._internal import _LoggerConfiguratorT
from opentelemetry.sdk._logs.export import (
    BatchLogRecordProcessor,
    LogRecordExporter,
)
from opentelemetry.sdk.environment_variables import (
    _OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED,
    OTEL_EXPORTER_OTLP_LOGS_PROTOCOL,
    OTEL_EXPORTER_OTLP_METRICS_PROTOCOL,
    OTEL_EXPORTER_OTLP_PROTOCOL,
    OTEL_EXPORTER_OTLP_TRACES_PROTOCOL,
    OTEL_PYTHON_LOGGER_CONFIGURATOR,
    OTEL_PYTHON_METER_CONFIGURATOR,
    OTEL_PYTHON_TRACER_CONFIGURATOR,
    OTEL_TRACES_SAMPLER,
    OTEL_TRACES_SAMPLER_ARG,
)
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics._internal import _MeterConfiguratorT
from opentelemetry.sdk.metrics.export import (
    MetricExporter,
    MetricReader,
    PeriodicExportingMetricReader,
)
from opentelemetry.sdk.resources import Attributes, Resource
from opentelemetry.sdk.trace import (
    SpanProcessor,
    TracerProvider,
    _TracerConfiguratorT,
)
from opentelemetry.sdk.trace.export import BatchSpanProcessor, SpanExporter
from opentelemetry.sdk.trace.id_generator import IdGenerator
from opentelemetry.sdk.trace.sampling import Sampler
from opentelemetry.semconv.resource import ResourceAttributes
from opentelemetry.trace import set_tracer_provider
from opentelemetry.util._importlib_metadata import entry_points

_EXPORTER_OTLP = "otlp"
_EXPORTER_OTLP_PROTO_GRPC = "otlp_proto_grpc"
_EXPORTER_OTLP_PROTO_HTTP = "otlp_proto_http"

_EXPORTER_BY_OTLP_PROTOCOL = {
    "grpc": _EXPORTER_OTLP_PROTO_GRPC,
    "http/protobuf": _EXPORTER_OTLP_PROTO_HTTP,
}

_EXPORTER_ENV_BY_SIGNAL_TYPE = {
    "traces": OTEL_TRACES_EXPORTER,
    "metrics": OTEL_METRICS_EXPORTER,
    "logs": OTEL_LOGS_EXPORTER,
}

_PROTOCOL_ENV_BY_SIGNAL_TYPE = {
    "traces": OTEL_EXPORTER_OTLP_TRACES_PROTOCOL,
    "metrics": OTEL_EXPORTER_OTLP_METRICS_PROTOCOL,
    "logs": OTEL_EXPORTER_OTLP_LOGS_PROTOCOL,
}

_RANDOM_ID_GENERATOR = "random"
_DEFAULT_ID_GENERATOR = _RANDOM_ID_GENERATOR

_OTEL_SAMPLER_ENTRY_POINT_GROUP = "opentelemetry_traces_sampler"

_logger = logging.getLogger(__name__)

ExporterArgsMap = Mapping[
    type[SpanExporter]
    | type[MetricExporter]
    | type[MetricReader]
    | type[LogRecordExporter],
    Mapping[str, Any],
]


class _ConfigurationExporterSpanProcessorT(Protocol):
    def __call__(
        self, span_exporter: SpanExporter, *args, **kwargs
    ) -> SpanProcessor: ...


class _ConfigurationExporterLogRecordProcessorT(Protocol):
    def __call__(
        self, exporter: LogRecordExporter, *args, **kwargs
    ) -> LogRecordProcessor: ...


def _import_config_components(
    selected_components: Sequence[str], entry_point_name: str
) -> list[tuple[str, type]]:
    component_implementations = []

    for selected_component in selected_components:
        try:
            component_implementations.append(
                (
                    selected_component,
                    next(
                        iter(
                            entry_points(
                                group=entry_point_name, name=selected_component
                            )
                        )
                    ).load(),
                )
            )
        except KeyError:
            raise RuntimeError(
                f"Requested entry point '{entry_point_name}' not found"
            )

        except StopIteration:
            raise RuntimeError(
                f"Requested component '{selected_component}' not found in "
                f"entry point '{entry_point_name}'"
            )

    return component_implementations


def _get_sampler() -> str | None:
    return environ.get(OTEL_TRACES_SAMPLER, None)


def _get_id_generator() -> str:
    return environ.get(OTEL_PYTHON_ID_GENERATOR, _DEFAULT_ID_GENERATOR)


def _get_tracer_configurator() -> str | None:
    return environ.get(OTEL_PYTHON_TRACER_CONFIGURATOR, None)


def _get_meter_configurator() -> str | None:
    return environ.get(OTEL_PYTHON_METER_CONFIGURATOR, None)


def _get_logger_configurator() -> str | None:
    return environ.get(OTEL_PYTHON_LOGGER_CONFIGURATOR, None)


def _get_exporter_entry_point(
    exporter_name: str, signal_type: Literal["traces", "metrics", "logs"]
):
    if exporter_name not in (
        _EXPORTER_OTLP,
        _EXPORTER_OTLP_PROTO_GRPC,
        _EXPORTER_OTLP_PROTO_HTTP,
    ):
        return exporter_name

    # Checking env vars for OTLP protocol (grpc/http).
    otlp_protocol = environ.get(
        _PROTOCOL_ENV_BY_SIGNAL_TYPE[signal_type]
    ) or environ.get(OTEL_EXPORTER_OTLP_PROTOCOL)

    if not otlp_protocol:
        if exporter_name == _EXPORTER_OTLP:
            return _EXPORTER_OTLP_PROTO_GRPC
        return exporter_name

    otlp_protocol = otlp_protocol.strip()

    if exporter_name == _EXPORTER_OTLP:
        if otlp_protocol not in _EXPORTER_BY_OTLP_PROTOCOL:
            # Invalid value was set by the env var
            raise RuntimeError(
                f"Unsupported OTLP protocol '{otlp_protocol}' is configured"
            )

        return _EXPORTER_BY_OTLP_PROTOCOL[otlp_protocol]

    # grpc/http already specified by exporter_name, only add a warning in case
    # of a conflict.
    exporter_name_by_env = _EXPORTER_BY_OTLP_PROTOCOL.get(otlp_protocol)
    if exporter_name_by_env and exporter_name != exporter_name_by_env:
        _logger.warning(
            "Conflicting values for %s OTLP exporter protocol, using '%s'",
            signal_type,
            exporter_name,
        )

    return exporter_name


def _get_exporter_names(
    signal_type: Literal["traces", "metrics", "logs"],
) -> list[str]:
    names = environ.get(_EXPORTER_ENV_BY_SIGNAL_TYPE.get(signal_type, ""))

    if not names or names.lower().strip() == "none":
        return []

    return [
        _get_exporter_entry_point(_exporter.strip(), signal_type)
        for _exporter in names.split(",")
    ]


def _init_tracing(
    exporters: dict[str, type[SpanExporter]],
    id_generator: IdGenerator | None = None,
    sampler: Sampler | None = None,
    resource: Resource | None = None,
    exporter_args_map: ExporterArgsMap | None = None,
    span_processors: Sequence[SpanProcessor] | None = None,
    export_span_processor: _ConfigurationExporterSpanProcessorT | None = None,
    tracer_configurator: _TracerConfiguratorT | None = None,
):
    provider = TracerProvider(
        id_generator=id_generator,
        sampler=sampler,
        resource=resource,
        _tracer_configurator=tracer_configurator,
    )
    set_tracer_provider(provider)

    exporter_args_map = exporter_args_map or {}
    export_processor = export_span_processor or BatchSpanProcessor

    span_processors = span_processors or []
    for span_processor in span_processors:
        provider.add_span_processor(span_processor)

    for _, exporter_class in exporters.items():
        exporter_args = exporter_args_map.get(exporter_class, {})
        provider.add_span_processor(
            export_processor(exporter_class(**exporter_args))
        )


def _init_metrics(
    exporters_or_readers: dict[str, type[MetricExporter] | type[MetricReader]],
    resource: Resource | None = None,
    exporter_args_map: ExporterArgsMap | None = None,
    meter_configurator: _MeterConfiguratorT | None = None,
):
    metric_readers = []

    exporter_args_map = exporter_args_map or {}
    for _, exporter_or_reader_class in exporters_or_readers.items():
        exporter_args = exporter_args_map.get(exporter_or_reader_class, {})
        if issubclass(exporter_or_reader_class, MetricReader):
            metric_readers.append(exporter_or_reader_class(**exporter_args))
        else:
            metric_readers.append(
                PeriodicExportingMetricReader(
                    exporter_or_reader_class(**exporter_args)
                )
            )

    provider = MeterProvider(
        resource=resource,
        metric_readers=metric_readers,
        _meter_configurator=meter_configurator,
    )
    set_meter_provider(provider)


# pylint: disable-next=too-many-locals
def _init_logging(
    exporters: dict[str, type[LogRecordExporter]],
    resource: Resource | None = None,
    setup_logging_handler: bool = True,
    exporter_args_map: ExporterArgsMap | None = None,
    log_record_processors: Sequence[LogRecordProcessor] | None = None,
    export_log_record_processor: _ConfigurationExporterLogRecordProcessorT
    | None = None,
    logger_configurator: _LoggerConfiguratorT | None = None,
):
    provider = LoggerProvider(
        resource=resource, _logger_configurator=logger_configurator
    )
    set_logger_provider(provider)

    exporter_args_map = exporter_args_map or {}
    export_processor = export_log_record_processor or BatchLogRecordProcessor

    log_record_processors = log_record_processors or []
    for log_record_processor in log_record_processors:
        provider.add_log_record_processor(log_record_processor)

    for _, exporter_class in exporters.items():
        exporter_args = exporter_args_map.get(exporter_class, {})
        provider.add_log_record_processor(
            export_processor(exporter_class(**exporter_args))
        )

    # silence warnings from internal users until we drop the deprecated Events API
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", category=DeprecationWarning)
        # pylint: disable=import-outside-toplevel
        from opentelemetry._events import (  # noqa: PLC0415
            set_event_logger_provider,
        )
        from opentelemetry.sdk._events import (  # noqa: PLC0415
            EventLoggerProvider,
        )

        event_logger_provider = EventLoggerProvider(logger_provider=provider)
        set_event_logger_provider(event_logger_provider)

    if setup_logging_handler:
        warnings.warn(
            "The `OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED` environment variable "
            "and the `LoggingHandler` in `opentelemetry-sdk` that it controls are deprecated."
            "Install `opentelemetry-instrumentation-logging` package instead.",
            DeprecationWarning,
        )

        # Add OTel handler
        handler = LoggingHandler(
            level=logging.NOTSET, logger_provider=provider
        )
        logging.getLogger().addHandler(handler)
        _overwrite_logging_config_fns(handler)


def _overwrite_logging_config_fns(handler: LoggingHandler) -> None:
    root = logging.getLogger()

    def wrapper(config_fn: Callable) -> Callable:
        def overwritten_config_fn(*args, **kwargs):
            removed_handler = False
            # We don't want the OTLP handler to be modified or deleted by the logging config functions.
            # So we remove it and then add it back after the function call.
            if handler in root.handlers:
                removed_handler = True
                root.handlers.remove(handler)
            try:
                config_fn(*args, **kwargs)
            finally:
                # Ensure handler is added back if logging function throws exception.
                if removed_handler:
                    root.addHandler(handler)

        return overwritten_config_fn

    logging.config.fileConfig = wrapper(logging.config.fileConfig)
    logging.config.dictConfig = wrapper(logging.config.dictConfig)
    logging.basicConfig = wrapper(logging.basicConfig)


def _import_logger_configurator(
    logger_configurator_name: str | None,
) -> _LoggerConfiguratorT | None:
    if not logger_configurator_name:
        return None

    try:
        _, logger_configurator_impl = _import_config_components(
            [logger_configurator_name.strip()],
            "_opentelemetry_logger_configurator",
        )[0]
    except Exception as exc:  # pylint: disable=broad-exception-caught
        _logger.warning(
            "Using default logger configurator. Failed to load logger configurator, %s: %s",
            logger_configurator_name,
            exc,
        )
        return None
    return logger_configurator_impl


def _import_tracer_configurator(
    tracer_configurator_name: str | None,
) -> _TracerConfiguratorT | None:
    if not tracer_configurator_name:
        return None

    try:
        _, tracer_configurator_impl = _import_config_components(
            [tracer_configurator_name.strip()],
            "_opentelemetry_tracer_configurator",
        )[0]
    except Exception as exc:  # pylint: disable=broad-exception-caught
        _logger.warning(
            "Using default tracer configurator. Failed to load tracer configurator, %s: %s",
            tracer_configurator_name,
            exc,
        )
        return None
    return tracer_configurator_impl


def _import_meter_configurator(
    meter_configurator_name: str | None,
) -> _MeterConfiguratorT | None:
    if not meter_configurator_name:
        return None

    try:
        _, meter_configurator_impl = _import_config_components(
            [meter_configurator_name.strip()],
            "_opentelemetry_meter_configurator",
        )[0]
    except Exception as exc:  # pylint: disable=broad-exception-caught
        _logger.warning(
            "Using default meter configurator. Failed to load meter configurator, %s: %s",
            meter_configurator_name,
            exc,
        )
        return None
    return meter_configurator_impl


def _import_exporters(
    trace_exporter_names: Sequence[str],
    metric_exporter_names: Sequence[str],
    log_exporter_names: Sequence[str],
) -> tuple[
    dict[str, type[SpanExporter]],
    dict[str, type[MetricExporter] | type[MetricReader]],
    dict[str, type[LogRecordExporter]],
]:
    trace_exporters = {}
    metric_exporters = {}
    log_exporters = {}

    for (
        exporter_name,
        exporter_impl,
    ) in _import_config_components(
        trace_exporter_names, "opentelemetry_traces_exporter"
    ):
        if issubclass(exporter_impl, SpanExporter):
            trace_exporters[exporter_name] = exporter_impl
        else:
            raise RuntimeError(f"{exporter_name} is not a trace exporter")

    for (
        exporter_name,
        exporter_impl,
    ) in _import_config_components(
        metric_exporter_names, "opentelemetry_metrics_exporter"
    ):
        # The metric exporter components may be push MetricExporter or pull exporters which
        # subclass MetricReader directly
        if issubclass(exporter_impl, (MetricExporter, MetricReader)):
            metric_exporters[exporter_name] = exporter_impl
        else:
            raise RuntimeError(f"{exporter_name} is not a metric exporter")

    for (
        exporter_name,
        exporter_impl,
    ) in _import_config_components(
        log_exporter_names, "opentelemetry_logs_exporter"
    ):
        if issubclass(exporter_impl, LogRecordExporter):
            log_exporters[exporter_name] = exporter_impl
        else:
            raise RuntimeError(f"{exporter_name} is not a log exporter")

    return trace_exporters, metric_exporters, log_exporters


def _import_sampler_factory(
    sampler_name: str,
) -> Callable[[float | str | None], Sampler]:
    _, sampler_impl = _import_config_components(
        [sampler_name.strip()], _OTEL_SAMPLER_ENTRY_POINT_GROUP
    )[0]
    return sampler_impl


def _import_sampler(sampler_name: str | None) -> Sampler | None:
    if not sampler_name:
        return None
    try:
        sampler_factory = _import_sampler_factory(sampler_name)
        arg = None
        if sampler_name in ("traceidratio", "parentbased_traceidratio"):
            try:
                rate = float(os.getenv(OTEL_TRACES_SAMPLER_ARG, ""))
            except (ValueError, TypeError):
                _logger.warning(
                    "Could not convert TRACES_SAMPLER_ARG to float. Using default value 1.0."
                )
                rate = 1.0
            arg = rate
        else:
            arg = os.getenv(OTEL_TRACES_SAMPLER_ARG)

        sampler = sampler_factory(arg)
        if not isinstance(sampler, Sampler):
            message = f"Sampler factory, {sampler_factory}, produced output, {sampler}, which is not a Sampler."
            _logger.warning(message)
            raise ValueError(message)
        return sampler
    except Exception as exc:  # pylint: disable=broad-exception-caught
        _logger.warning(
            "Using default sampler. Failed to initialize sampler, %s: %s",
            sampler_name,
            exc,
        )
        return None


def _import_id_generator(id_generator_name: str) -> IdGenerator:
    id_generator_name, id_generator_impl = _import_config_components(
        [id_generator_name.strip()], "opentelemetry_id_generator"
    )[0]

    if issubclass(id_generator_impl, IdGenerator):
        return id_generator_impl()

    raise RuntimeError(f"{id_generator_name} is not an IdGenerator")


def _initialize_components(
    auto_instrumentation_version: str | None = None,
    trace_exporter_names: list[str] | None = None,
    metric_exporter_names: list[str] | None = None,
    log_exporter_names: list[str] | None = None,
    sampler: Sampler | None = None,
    resource_attributes: Attributes | None = None,
    id_generator: IdGenerator | None = None,
    setup_logging_handler: bool | None = None,
    exporter_args_map: ExporterArgsMap | None = None,
    span_processors: Sequence[SpanProcessor] | None = None,
    export_span_processor: _ConfigurationExporterSpanProcessorT | None = None,
    log_record_processors: Sequence[LogRecordProcessor] | None = None,
    export_log_record_processor: _ConfigurationExporterLogRecordProcessorT
    | None = None,
    tracer_configurator: _TracerConfiguratorT | None = None,
    meter_configurator: _MeterConfiguratorT | None = None,
    logger_configurator: _LoggerConfiguratorT | None = None,
):
    # pylint: disable=too-many-locals
    if trace_exporter_names is None:
        trace_exporter_names = []
    if metric_exporter_names is None:
        metric_exporter_names = []
    if log_exporter_names is None:
        log_exporter_names = []
    span_exporters, metric_exporters, log_exporters = _import_exporters(
        trace_exporter_names + _get_exporter_names("traces"),
        metric_exporter_names + _get_exporter_names("metrics"),
        log_exporter_names + _get_exporter_names("logs"),
    )
    if sampler is None:
        sampler_name = _get_sampler()
        sampler = _import_sampler(sampler_name)
    if id_generator is None:
        id_generator_name = _get_id_generator()
        id_generator = _import_id_generator(id_generator_name)
    if resource_attributes is None:
        resource_attributes = {}
    # populate version if using auto-instrumentation
    if auto_instrumentation_version:
        resource_attributes[ResourceAttributes.TELEMETRY_AUTO_VERSION] = (  # type: ignore[reportIndexIssue]
            auto_instrumentation_version
        )
    if tracer_configurator is None:
        tracer_configurator_name = _get_tracer_configurator()
        tracer_configurator = _import_tracer_configurator(
            tracer_configurator_name
        )
    if meter_configurator is None:
        meter_configurator_name = _get_meter_configurator()
        meter_configurator = _import_meter_configurator(
            meter_configurator_name
        )
    if logger_configurator is None:
        logger_configurator_name = _get_logger_configurator()
        logger_configurator = _import_logger_configurator(
            logger_configurator_name
        )

    # if env var OTEL_RESOURCE_ATTRIBUTES is given, it will read the service_name
    # from the env variable else defaults to "unknown_service"
    resource = Resource.create(resource_attributes)

    _init_tracing(
        exporters=span_exporters,
        id_generator=id_generator,
        sampler=sampler,
        resource=resource,
        exporter_args_map=exporter_args_map,
        span_processors=span_processors,
        export_span_processor=export_span_processor,
        tracer_configurator=tracer_configurator,
    )
    _init_metrics(
        exporters_or_readers=metric_exporters,
        resource=resource,
        exporter_args_map=exporter_args_map,
        meter_configurator=meter_configurator,
    )
    if setup_logging_handler is None:
        setup_logging_handler = (
            os.getenv(
                _OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED, "false"
            )
            .strip()
            .lower()
            == "true"
        )
    _init_logging(
        log_exporters,
        resource,
        setup_logging_handler,
        exporter_args_map=exporter_args_map,
        log_record_processors=log_record_processors,
        export_log_record_processor=export_log_record_processor,
        logger_configurator=logger_configurator,
    )


class _BaseConfigurator(ABC):
    """An ABC for configurators

    Configurators are used to configure
    SDKs (i.e. TracerProvider, MeterProvider, Processors...)
    to reduce the amount of manual configuration required.
    """

    _instance = None
    _is_instrumented = False

    def __new__(cls, *args, **kwargs):
        if cls._instance is None:
            cls._instance = object.__new__(cls, *args, **kwargs)

        return cls._instance

    @abstractmethod
    def _configure(self, **kwargs):
        """Configure the SDK"""

    def configure(self, **kwargs):
        """Configure the SDK"""
        self._configure(**kwargs)


class _OTelSDKConfigurator(_BaseConfigurator):
    """A basic Configurator by OTel Python for initializing OTel SDK components

    Initializes several crucial OTel SDK components (i.e. TracerProvider,
    MeterProvider, Processors...) according to a default implementation. Other
    Configurators can subclass and slightly alter this initialization.

    NOTE: This class should not be instantiated nor should it become an entry
    point on the `opentelemetry-sdk` package. Instead, distros should subclass
    this Configurator and enhance it as needed.
    """

    def _configure(self, **kwargs):
        _initialize_components(**kwargs)
