"""Recipe scanner endpoints (kiwi#9).

POST /recipes/scan       -- scan photo(s) -> structured recipe JSON (not saved)
POST /recipes/scan/save  -- save a confirmed scanned recipe to user_recipes
GET  /recipes/user       -- list user-created recipes
GET  /recipes/user/{id}  -- get a single user recipe
DELETE /recipes/user/{id} -- delete a user recipe

BSL 1.1 -- recipe_scan requires Paid tier or BYOK.
"""
from __future__ import annotations

import asyncio
import json as _json
import logging
import uuid
from pathlib import Path
from typing import Annotated

import aiofiles
from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
from fastapi.responses import JSONResponse, StreamingResponse

from app.cloud_session import CloudUser, get_session
from app.core.config import settings
from app.db.session import get_store
from app.db.store import Store
from app.models.schemas.recipe_scan import (
    ScannedIngredientSchema,
    ScannedRecipeResponse,
    ScannedRecipeSaveRequest,
    UserRecipeResponse,
)
from app.tiers import can_use

logger = logging.getLogger(__name__)
router = APIRouter()

_ALLOWED_MIME_TYPES = {
    "image/jpeg", "image/jpg", "image/png", "image/webp", "image/heic", "image/heif"
}
_MAX_FILE_SIZE_MB = 20


async def _save_upload_temp(file: UploadFile) -> Path:
    """Write upload to a temp path under UPLOAD_DIR. Caller is responsible for cleanup."""
    settings.ensure_dirs()
    dest = settings.UPLOAD_DIR / f"scan_{uuid.uuid4()}_{file.filename}"
    async with aiofiles.open(dest, "wb") as f:
        await f.write(await file.read())
    return dest


def _result_to_response(result) -> ScannedRecipeResponse:
    """Convert ScannedRecipeResult (dataclass) to Pydantic response schema."""
    return ScannedRecipeResponse(
        title=result.title,
        subtitle=result.subtitle,
        servings=result.servings,
        cook_time=result.cook_time,
        source_note=result.source_note,
        ingredients=[
            ScannedIngredientSchema(
                name=i.name,
                qty=i.qty,
                unit=i.unit,
                raw=i.raw,
                in_pantry=i.in_pantry,
            )
            for i in result.ingredients
        ],
        steps=result.steps,
        notes=result.notes,
        tags=result.tags,
        pantry_match_pct=result.pantry_match_pct,
        confidence=result.confidence,
        warnings=result.warnings,
    )


def _row_to_user_recipe(row: dict) -> UserRecipeResponse:
    """Convert a store row dict to UserRecipeResponse."""
    return UserRecipeResponse(
        id=row["id"],
        title=row["title"],
        subtitle=row.get("subtitle"),
        servings=row.get("servings"),
        cook_time=row.get("cook_time"),
        source_note=row.get("source_note"),
        ingredients=[
            ScannedIngredientSchema(**i) if isinstance(i, dict) else i
            for i in (row.get("ingredients") or [])
        ],
        steps=row.get("steps") or [],
        notes=row.get("notes"),
        tags=row.get("tags") or [],
        source=row.get("source", "manual"),
        pantry_match_pct=row.get("pantry_match_pct"),
        created_at=row["created_at"],
    )


# ── Scan endpoint ──────────────────────────────────────────────────────────────

@router.post("/scan", response_model=ScannedRecipeResponse)
async def scan_recipe(
    files: Annotated[list[UploadFile], File(...)],
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """Scan one or more recipe photos and return a structured recipe for review.

    Accepts 1-4 images. Multi-page recipes (e.g. ingredients on page 1,
    directions on page 2) work best when all pages are submitted together.

    The response is NOT saved automatically -- the user reviews and edits it,
    then calls POST /recipes/scan/save to persist.

    Tier: Paid (or BYOK).
    """
    if not can_use("recipe_scan", session.tier, session.has_byok):
        raise HTTPException(
            status_code=403,
            detail=(
                "Recipe scanning requires Paid tier or a configured vision backend (BYOK). "
                "Set ANTHROPIC_API_KEY or connect to a cf-orch vision service."
            ),
        )

    if not files:
        raise HTTPException(status_code=422, detail="At least one image file is required.")
    if len(files) > 4:
        raise HTTPException(status_code=422, detail="Maximum 4 images per scan request.")

    for f in files:
        ct = (f.content_type or "").lower()
        if ct and ct not in _ALLOWED_MIME_TYPES:
            raise HTTPException(
                status_code=422,
                detail=f"Unsupported file type: {ct}. Supported: JPEG, PNG, WebP, HEIC.",
            )

    # Save uploads to temp files
    saved_paths: list[Path] = []
    try:
        for f in files:
            saved_paths.append(await _save_upload_temp(f))

        # Get pantry item names for cross-reference
        inventory = await asyncio.to_thread(store.list_inventory)
        pantry_names = [item["product_name"] for item in inventory if item.get("product_name")]

        # Run scanner (blocks on VLM -- use to_thread)
        from app.services.recipe.recipe_scanner import RecipeScanner

        def _run_scan():
            scanner = RecipeScanner()
            return scanner.scan(saved_paths, pantry_names=pantry_names)

        try:
            result = await asyncio.to_thread(_run_scan)
        except ValueError as exc:
            msg = str(exc)
            if "not_a_recipe" in msg:
                raise HTTPException(
                    status_code=422,
                    detail="The image does not appear to contain a recipe. "
                           "Please photograph a recipe card, cookbook page, or handwritten note.",
                )
            raise HTTPException(status_code=422, detail=msg)
        except RuntimeError as exc:
            msg = str(exc)
            logger.warning("Recipe scanner unavailable: %s", msg)
            raise HTTPException(
                status_code=503,
                detail=(
                    "The recipe scanner is temporarily unavailable — "
                    "no vision backend could be reached. "
                    "Try again in a few minutes, or contact support if this persists."
                ),
            )

        return _result_to_response(result)

    finally:
        # Clean up temp files
        for p in saved_paths:
            try:
                p.unlink(missing_ok=True)
            except Exception:
                pass


# ── SSE scan endpoint ─────────────────────────────────────────────────────────

async def _scan_recipe_sse(saved_paths: list[Path], pantry_names: list[str]):
    """Async generator yielding SSE events for a recipe scan.

    Emits progress events while the vision service allocates and runs, then a
    final "done" event containing the full recipe payload (same shape as the
    ScannedRecipeResponse from POST /scan).

    Events:
      {"status": "allocating", "message": "..."}
      {"status": "scanning",   "message": "..."}
      {"status": "structuring","message": "..."}
      {"status": "done",       "recipe": {...}}
      {"status": "error",      "message": "..."}
    """
    queue: asyncio.Queue = asyncio.Queue()
    loop = asyncio.get_running_loop()

    def _run() -> None:
        def cb(status: str, message: str) -> None:
            loop.call_soon_threadsafe(queue.put_nowait, {"status": status, "message": message})
        try:
            from app.services.recipe.recipe_scanner import RecipeScanner
            result = RecipeScanner().scan(saved_paths, pantry_names=pantry_names, progress_cb=cb)
            recipe_dict = _result_to_response(result).model_dump()
            loop.call_soon_threadsafe(queue.put_nowait, {"status": "done", "recipe": recipe_dict})
        except ValueError as exc:
            loop.call_soon_threadsafe(queue.put_nowait, {"status": "error", "message": str(exc)})
        except RuntimeError as exc:
            loop.call_soon_threadsafe(queue.put_nowait, {"status": "error", "message": str(exc)})
        except Exception as exc:
            logger.exception("Unexpected error in recipe scan thread")
            loop.call_soon_threadsafe(queue.put_nowait, {"status": "error", "message": "Scan failed unexpectedly."})

    scan_task = asyncio.ensure_future(asyncio.to_thread(_run))
    try:
        while True:
            try:
                event = await asyncio.wait_for(queue.get(), timeout=180.0)
            except asyncio.TimeoutError:
                yield f"data: {_json.dumps({'status': 'error', 'message': 'Scan timed out after 3 minutes.'})}\n\n"
                break
            yield f"data: {_json.dumps(event)}\n\n"
            if event["status"] in ("done", "error"):
                break
    finally:
        if not scan_task.done():
            scan_task.cancel()


@router.post("/scan/stream")
async def scan_recipe_stream(
    files: Annotated[list[UploadFile], File(...)],
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """Scan recipe photos and stream SSE progress events during model load.

    Use this endpoint instead of POST /scan when you need live feedback during
    cold-start model loading (first request after a GPU-idle period can take
    30-60 seconds for cf-docuvision to warm up).

    Tier: Paid (or BYOK) — same gate as POST /scan.
    """
    if not can_use("recipe_scan", session.tier, session.has_byok):
        raise HTTPException(
            status_code=403,
            detail=(
                "Recipe scanning requires Paid tier or a configured vision backend (BYOK). "
                "Set ANTHROPIC_API_KEY or connect to a cf-orch vision service."
            ),
        )

    if not files:
        raise HTTPException(status_code=422, detail="At least one image file is required.")
    if len(files) > 4:
        raise HTTPException(status_code=422, detail="Maximum 4 images per scan request.")

    for f in files:
        ct = (f.content_type or "").lower()
        if ct and ct not in _ALLOWED_MIME_TYPES:
            raise HTTPException(
                status_code=422,
                detail=f"Unsupported file type: {ct}. Supported: JPEG, PNG, WebP, HEIC.",
            )

    saved_paths: list[Path] = []
    for f in files:
        saved_paths.append(await _save_upload_temp(f))

    inventory = await asyncio.to_thread(store.list_inventory)
    pantry_names = [item["product_name"] for item in inventory if item.get("product_name")]

    async def generate():
        try:
            async for chunk in _scan_recipe_sse(saved_paths, pantry_names):
                yield chunk
        finally:
            for p in saved_paths:
                try:
                    p.unlink(missing_ok=True)
                except Exception:
                    pass

    return StreamingResponse(generate(), media_type="text/event-stream")


# ── Save endpoint ──────────────────────────────────────────────────────────────

@router.post("/scan/save", response_model=UserRecipeResponse, status_code=201)
async def save_scanned_recipe(
    body: ScannedRecipeSaveRequest,
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """Save a user-reviewed (possibly edited) scanned recipe.

    The body is the ScannedRecipeResponse (or a user-edited version of it).
    Returns the persisted UserRecipe with an assigned ID.

    Tier: Free (saving your own recipe doesn't require vision access).
    """
    def _save():
        return store.create_user_recipe(
            title=body.title,
            subtitle=body.subtitle,
            servings=body.servings,
            cook_time=body.cook_time,
            source_note=body.source_note,
            ingredients=[i.model_dump() for i in body.ingredients],
            steps=body.steps,
            notes=body.notes,
            tags=body.tags,
            source=body.source,
            pantry_match_pct=None,
        )

    row = await asyncio.to_thread(_save)
    return _row_to_user_recipe(row)


# ── User recipe list / get / delete ───────────────────────────────────────────

@router.get("/user", response_model=list[UserRecipeResponse])
async def list_user_recipes(
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """List all user-created recipes (scanned + manually entered), newest first."""
    rows = await asyncio.to_thread(store.list_user_recipes)
    return [_row_to_user_recipe(r) for r in rows]


@router.get("/user/{recipe_id}", response_model=UserRecipeResponse)
async def get_user_recipe(
    recipe_id: int,
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """Get a single user recipe by ID."""
    row = await asyncio.to_thread(store.get_user_recipe, recipe_id)
    if not row:
        raise HTTPException(status_code=404, detail="User recipe not found.")
    return _row_to_user_recipe(row)


@router.delete("/user/{recipe_id}", status_code=204)
async def delete_user_recipe(
    recipe_id: int,
    store: Store = Depends(get_store),
    session: CloudUser = Depends(get_session),
):
    """Delete a user recipe by ID."""
    deleted = await asyncio.to_thread(store.delete_user_recipe, recipe_id)
    if not deleted:
        raise HTTPException(status_code=404, detail="User recipe not found.")
    return JSONResponse(status_code=204, content=None)