import logging
import os
from contextlib import asynccontextmanager
from pathlib import Path

from fastapi import FastAPI, HTTPException
from huggingface_hub import InferenceClient
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel

import telemetry
from config import DOMAIN_CLIENTS, CLIENT_DOMAIN, DISPLAY_NAMES
from grader import get_embedder, get_nli_model
from pipeline import run, _build_index, clear_index_cache

log = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

UI_DIR = Path(__file__).parent.parent / "ui"


@asynccontextmanager
async def lifespan(app: FastAPI):
    hf_token = os.environ.get("HF_TOKEN")
    if not hf_token:
        raise RuntimeError("HF_TOKEN not set")
    app.state.hf_client = InferenceClient(token=hf_token)
    embedder = get_embedder()
    get_nli_model()
    for domain in DOMAIN_CLIENTS:
        _build_index(domain, embedder)
    log.info("Models and KB indexes pre-warmed. Ready.")
    yield


app = FastAPI(title="AI Response Validator", lifespan=lifespan)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["GET", "POST"],
    allow_headers=["*"],
)


class QueryRequest(BaseModel):
    query: str
    client: str


class QueryResponse(BaseModel):
    query: str
    client: str
    client_display: str
    answer: str
    flagged: bool
    sources: list[dict]
    evaluation: dict


@app.get("/health")
def health():
    return {"status": "ok"}


@app.get("/config")
def get_config():
    """Domain/client structure for the UI switcher."""
    return {
        "domains": {
            domain: [{"id": c, "display": DISPLAY_NAMES[c]} for c in clients]
            for domain, clients in DOMAIN_CLIENTS.items()
        }
    }


@app.post("/refresh-cache")
def refresh_cache():
    """Evict KB index cache and rebuild all domain indexes from disk."""
    evicted = clear_index_cache()
    embedder = get_embedder()
    for domain in DOMAIN_CLIENTS:
        _build_index(domain, embedder)
    log.info("Cache refreshed. Rebuilt indexes for: %s", list(DOMAIN_CLIENTS))
    return {"refreshed": evicted, "rebuilt": list(DOMAIN_CLIENTS)}


@app.get("/metrics")
def get_metrics():
    """Live session stats from in-memory counters — resets on restart."""
    return telemetry.live_stats()


@app.get("/report")
def get_report():
    """Accumulated stats from HF Dataset shards — persists across restarts."""
    return telemetry.persistent_report()


@app.post("/query", response_model=QueryResponse)
def handle_query(req: QueryRequest):
    if req.client not in CLIENT_DOMAIN:
        raise HTTPException(status_code=400, detail=f"Unknown client: {req.client!r}")
    if not req.query.strip():
        raise HTTPException(status_code=400, detail="Query cannot be empty")

    result = run(
        query=req.query.strip(),
        client=req.client,
        hf_client=app.state.hf_client,
    )
    if not result.grade_report.overall:
        failed = [r.metric for r in result.grade_report.results if not r.passed]
        log.warning("EVAL_FAIL client=%s failed_metrics=%s query=%r",
                    req.client, failed, req.query.strip()[:80])
    return result.response_payload


app.mount("/static", StaticFiles(directory=UI_DIR), name="static")


@app.get("/")
def root():
    return FileResponse(UI_DIR / "index.html")