"""
observability.py — Tracing with Langfuse (optional) and local JSONL logging.

If Langfuse keys are not set, the system degrades gracefully to local
file logging only. No errors, no crashes — just silent fallback.

Langfuse free tier: 50,000 events/month at cloud.langfuse.com.
To enable: add LANGFUSE_PUBLIC_KEY and LANGFUSE_SECRET_KEY to HF Space secrets.
"""

import json
import logging
from datetime import datetime
from pathlib import Path
from src.utils import get_env

logger = logging.getLogger("enterprise-rag.observability")

_langfuse_client = None
_langfuse_enabled = False
_langfuse_checked = False


def _get_langfuse():
    """
    Lazily initialize Langfuse on first trace call.
    Returns None silently if not configured.
    """
    global _langfuse_client, _langfuse_enabled, _langfuse_checked

    if _langfuse_checked:
        return _langfuse_client if _langfuse_enabled else None

    _langfuse_checked = True
    public_key = get_env("LANGFUSE_PUBLIC_KEY", "")
    secret_key = get_env("LANGFUSE_SECRET_KEY", "")
    host = get_env("LANGFUSE_HOST", "https://cloud.langfuse.com")

    if not public_key or not secret_key:
        logger.info("Langfuse not configured — using local logging only")
        return None

    try:
        from langfuse import Langfuse
        _langfuse_client = Langfuse(
            public_key=public_key,
            secret_key=secret_key,
            host=host,
        )
        _langfuse_enabled = True
        logger.info(f"Langfuse connected: {host}")
        return _langfuse_client
    except Exception as e:
        logger.warning(f"Langfuse init failed: {e}")
        return None


def trace_rag_query(
    query: str,
    answer: str,
    retrieved_chunks: list,
    retrieval_scores: list,
    eval_scores: dict,
    retrieval_latency_ms: float,
    generation_latency_ms: float,
    prompt_tokens: int,
    response_tokens: int,
    model_used: str,
    fallback_used: bool,
    session_id: str = "default",
):
    """
    Record a full RAG query trace.
    Writes to local JSONL file always. Sends to Langfuse if configured.
    """
    trace_data = {
        "timestamp": datetime.utcnow().isoformat(),
        "session_id": session_id,
        "query": query,
        "answer_preview": answer[:200] if answer else "",
        "chunks_retrieved": len(retrieved_chunks),
        "top_score": retrieval_scores[0] if retrieval_scores else 0,
        "retrieval_latency_ms": retrieval_latency_ms,
        "generation_latency_ms": generation_latency_ms,
        "total_latency_ms": retrieval_latency_ms + generation_latency_ms,
        "prompt_tokens": prompt_tokens,
        "response_tokens": response_tokens,
        "total_tokens": prompt_tokens + response_tokens,
        "model_used": model_used,
        "fallback_used": fallback_used,
        "eval_faithfulness": eval_scores.get("faithfulness", 0),
        "eval_relevance": eval_scores.get("answer_relevance", 0),
        "eval_precision": eval_scores.get("context_precision", 0),
        "eval_overall": eval_scores.get("overall", 0),
    }

    _write_local_log(trace_data)

    lf = _get_langfuse()
    if lf:
        _send_to_langfuse(lf, trace_data, query, answer, retrieved_chunks)

    return trace_data


def _write_local_log(trace_data: dict):
    """Append trace record to local JSONL file."""
    try:
        log_dir = Path("logs")
        log_dir.mkdir(exist_ok=True)
        with open(log_dir / "rag_traces.jsonl", "a") as f:
            f.write(json.dumps(trace_data) + "\n")
    except Exception as e:
        logger.warning(f"Local log write failed: {e}")


def _send_to_langfuse(lf, trace_data: dict, query: str, answer: str, chunks: list):
    """Send structured trace to Langfuse cloud."""
    try:
        trace = lf.trace(
            name="rag-query",
            input={"query": query},
            output={"answer": answer},
            metadata={
                "total_latency_ms": trace_data["total_latency_ms"],
                "total_tokens": trace_data["total_tokens"],
                "eval_overall": trace_data["eval_overall"],
                "fallback_used": trace_data["fallback_used"],
            },
        )
        trace.span(
            name="retrieval",
            input={"query": query},
            output={"top_score": trace_data["top_score"]},
            metadata={"latency_ms": trace_data["retrieval_latency_ms"]},
        )
        trace.span(
            name="generation",
            input={"chunks_count": len(chunks)},
            output={"tokens": trace_data["response_tokens"]},
            metadata={
                "latency_ms": trace_data["generation_latency_ms"],
                "model": trace_data["model_used"],
            },
        )
        lf.flush()
    except Exception as e:
        logger.warning(f"Langfuse trace send failed: {e}")


def get_observability_status() -> str:
    """Return human-readable observability status for the UI panel."""
    lf = _get_langfuse()
    if lf:
        host = get_env("LANGFUSE_HOST", "cloud.langfuse.com")
        return (
            f"✅ Langfuse connected\n"
            f"Host: {host}\n"
            f"📁 Local log: logs/rag_traces.jsonl"
        )
    return (
        "📁 Local logging active\n"
        "File: logs/rag_traces.jsonl\n\n"
        "To enable Langfuse: add LANGFUSE_PUBLIC_KEY\n"
        "and LANGFUSE_SECRET_KEY in Space secrets."
    )