import dataclasses
import json
import logging
import os
import traceback
from contextlib import asynccontextmanager

from opentelemetry import context as context_api
from opentelemetry._logs import Logger
from opentelemetry.instrumentation.llamaindex.config import Config
from opentelemetry.semconv_ai import SpanAttributes

TRACELOOP_TRACE_CONTENT = "TRACELOOP_TRACE_CONTENT"


def _with_tracer_wrapper(func):
    def _with_tracer(tracer):
        def wrapper(wrapped, instance, args, kwargs):
            return func(tracer, wrapped, instance, args, kwargs)

        return wrapper

    return _with_tracer


@asynccontextmanager
async def start_as_current_span_async(tracer, *args, **kwargs):
    with tracer.start_as_current_span(*args, **kwargs) as span:
        yield span


def should_send_prompts():
    return (
        os.getenv(TRACELOOP_TRACE_CONTENT) or "true"
    ).lower() == "true" or context_api.get_value("override_enable_content_tracing")


def dont_throw(func):
    """
    A decorator that wraps the passed in function and logs exceptions instead of throwing them.

    @param func: The function to wrap
    @return: The wrapper function
    """
    # Obtain a logger specific to the function's module
    logger = logging.getLogger(func.__module__)

    def wrapper(*args, **kwargs):
        try:
            return func(*args, **kwargs)
        except Exception as e:
            logger.debug(
                "OpenLLMetry failed to trace in %s, error: %s",
                func.__name__,
                traceback.format_exc(),
            )
            if Config.exception_logger:
                Config.exception_logger(e)

    return wrapper


class JSONEncoder(json.JSONEncoder):
    def default(self, o):
        if dataclasses.is_dataclass(o):
            return dataclasses.asdict(o)
        elif hasattr(o, "json"):
            return o.json()
        elif hasattr(o, "to_json"):
            return o.to_json()
        return super().default(o)


@dont_throw
def process_request(span, args, kwargs):
    if should_send_prompts():
        span.set_attribute(
            SpanAttributes.TRACELOOP_ENTITY_INPUT,
            json.dumps({"args": args, "kwargs": kwargs}, cls=JSONEncoder),
        )


@dont_throw
def process_response(span, res):
    if should_send_prompts():
        span.set_attribute(
            SpanAttributes.TRACELOOP_ENTITY_OUTPUT,
            json.dumps(res, cls=JSONEncoder),
        )


def is_role_valid(role: str) -> bool:
    return role in ["user", "assistant", "system", "tool"]


def should_emit_events() -> bool:
    """
    Checks if the instrumentation isn't using the legacy attributes
    and if the event logger is not None.
    """

    return not Config.use_legacy_attributes and isinstance(
        Config.event_logger, Logger
    )