"""Langfuse tracing & prompt management for the Chat Service.

Provides:
- ``langfuse`` — singleton Langfuse client (lazy, no-op when keys are missing)
- ``create_trace()`` — start a new trace for a chat request
- ``get_langfuse_callback()`` — LangChain callback handler for a trace/span
- ``get_prompt()`` — fetch a managed prompt from Langfuse by name
- ``flush()`` — ensure all events are sent before shutdown

All functions gracefully degrade to no-ops when Langfuse is not configured,
so the service works identically with or without observability keys.
"""

from __future__ import annotations

import logging
from typing import Any

from shared.config import settings

logger = logging.getLogger(__name__)

# ── Lazy singleton ───────────────────────────────────────────────────────

_langfuse_client: Any | None = None
_langfuse_disabled: bool = False


def _is_configured() -> bool:
    return bool(settings.LANGFUSE_SECRET_KEY and settings.LANGFUSE_PUBLIC_KEY)


def _get_langfuse() -> Any | None:
    """Return the Langfuse client singleton, or None if not configured."""
    global _langfuse_client, _langfuse_disabled

    if _langfuse_disabled:
        return None

    if _langfuse_client is not None:
        return _langfuse_client

    if not _is_configured():
        _langfuse_disabled = True
        logger.info("tracing: Langfuse keys not set — tracing disabled")
        return None

    try:
        from langfuse import Langfuse

        _langfuse_client = Langfuse(
            secret_key=settings.LANGFUSE_SECRET_KEY,
            public_key=settings.LANGFUSE_PUBLIC_KEY,
            host=settings.LANGFUSE_HOST,
        )
        logger.info("tracing: Langfuse client initialised (host=%s)", settings.LANGFUSE_HOST)
        return _langfuse_client
    except Exception as exc:
        _langfuse_disabled = True
        logger.warning("tracing: failed to initialise Langfuse: %s", exc)
        return None


# ── Trace lifecycle ──────────────────────────────────────────────────────


def create_trace(
    *,
    name: str,
    user_id: str,
    session_id: str | None = None,
    trace_id: str | None = None,
    metadata: dict[str, Any] | None = None,
    tags: list[str] | None = None,
) -> Any | None:
    """Create a Langfuse trace. Returns the trace object, or None if disabled."""
    lf = _get_langfuse()
    if lf is None:
        return None

    try:
        return lf.trace(
            id=trace_id,
            name=name,
            user_id=user_id,
            session_id=session_id,
            metadata=metadata or {},
            tags=tags or [],
        )
    except Exception as exc:
        logger.warning("tracing: create_trace failed: %s", exc)
        return None


# ── LangChain callback handler ──────────────────────────────────────────


def get_langfuse_callback(
    *,
    trace_id: str | None = None,
    trace: Any | None = None,
    span_name: str | None = None,
    update_parent: bool = True,
) -> Any | None:
    """Return a ``CallbackHandler`` wired to an existing trace.

    This handler is passed to LangChain's ``ainvoke`` / ``astream`` as a
    callback so every LLM generation and tool call is automatically
    captured as a nested span inside the trace.

    If both *trace* and *trace_id* are given, *trace* takes precedence.
    Returns None when Langfuse is disabled.
    """
    lf = _get_langfuse()
    if lf is None:
        return None

    try:
        from langfuse.callback import CallbackHandler

        kwargs: dict[str, Any] = {
            "secret_key": settings.LANGFUSE_SECRET_KEY,
            "public_key": settings.LANGFUSE_PUBLIC_KEY,
            "host": settings.LANGFUSE_HOST,
            "update_parent": update_parent,
        }
        if trace is not None:
            kwargs["trace_id"] = trace.id
        elif trace_id is not None:
            kwargs["trace_id"] = trace_id
        if span_name:
            kwargs["root_span"] = span_name

        return CallbackHandler(**kwargs)
    except Exception as exc:
        logger.warning("tracing: get_langfuse_callback failed: %s", exc)
        return None


# ── Prompt management ────────────────────────────────────────────────────


def get_prompt(
    name: str,
    *,
    version: int | None = None,
    label: str | None = None,
    fallback: str | None = None,
    cache_ttl_seconds: int = 300,
) -> str | None:
    """Fetch a managed prompt from Langfuse by name.

    Returns the compiled prompt string, or *fallback* if the prompt is not
    found or Langfuse is disabled.

    Parameters
    ----------
    name : str
        Prompt name as registered in Langfuse.
    version : int, optional
        Pin to a specific version; omit for the latest production version.
    label : str, optional
        Fetch by label (e.g. ``"production"``, ``"staging"``).
    fallback : str, optional
        Value returned when the prompt cannot be fetched.
    cache_ttl_seconds : int
        How long to cache the prompt locally (default 5 min).
    """
    lf = _get_langfuse()
    if lf is None:
        return fallback

    try:
        kwargs: dict[str, Any] = {
            "name": name,
            "cache_ttl_seconds": cache_ttl_seconds,
        }
        if version is not None:
            kwargs["version"] = version
        if label is not None:
            kwargs["label"] = label
        prompt = lf.get_prompt(**kwargs)
        return prompt.prompt
    except Exception as exc:
        logger.warning("tracing: get_prompt(%s) failed: %s", name, exc)
        return fallback


def link_prompt_to_trace(
    trace: Any,
    prompt_name: str,
    *,
    version: int | None = None,
    label: str | None = None,
) -> None:
    """Attach a Langfuse prompt reference to a trace/generation.

    Call this *after* creating a generation on the trace to associate the
    prompt that was used. The prompt object is fetched and linked so
    Langfuse can display prompt→trace associations in the dashboard.
    """
    lf = _get_langfuse()
    if lf is None or trace is None:
        return

    try:
        kwargs: dict[str, Any] = {"name": prompt_name}
        if version is not None:
            kwargs["version"] = version
        if label is not None:
            kwargs["label"] = label
        prompt = lf.get_prompt(**kwargs)
        trace.update(metadata={"prompt": {"name": prompt_name, "version": prompt.version}})
    except Exception as exc:
        logger.warning("tracing: link_prompt_to_trace(%s) failed: %s", prompt_name, exc)


# ── Scoring helper ───────────────────────────────────────────────────────


def score_trace(
    trace_id: str,
    name: str,
    value: float,
    *,
    comment: str | None = None,
) -> None:
    """Post a score to a trace (e.g. user feedback, latency, quality)."""
    lf = _get_langfuse()
    if lf is None:
        return

    try:
        lf.score(trace_id=trace_id, name=name, value=value, comment=comment)
    except Exception as exc:
        logger.warning("tracing: score_trace failed: %s", exc)


# ── Shutdown ─────────────────────────────────────────────────────────────


def flush() -> None:
    """Flush pending Langfuse events. Call this on service shutdown."""
    if _langfuse_client is not None:
        try:
            _langfuse_client.flush()
        except Exception as exc:
            logger.warning("tracing: flush failed: %s", exc)


def shutdown() -> None:
    """Flush and close the Langfuse client."""
    global _langfuse_client, _langfuse_disabled
    if _langfuse_client is not None:
        try:
            _langfuse_client.flush()
            _langfuse_client.shutdown()
        except Exception as exc:
            logger.warning("tracing: shutdown failed: %s", exc)
        _langfuse_client = None
    _langfuse_disabled = False