"""EXIF + OCR test backend — validate that GPS survives upload pipeline."""
import io, json, re, uuid, sqlite3
from pathlib import Path

from fastapi import FastAPI, File, Form, HTTPException, UploadFile
from fastapi.staticfiles import StaticFiles
from PIL import Image as PILImage

# Optional HEIC/HEIF support for iPhone photos
try:
    from pillow_heif import register_heif_opener
    register_heif_opener()
    HAS_HEIF = True
except ImportError:
    HAS_HEIF = False

try:
    import pytesseract
    HAS_TESSERACT = True
except ImportError:
    HAS_TESSERACT = False

UPLOADS = Path(__file__).parent / "uploads"
UPLOADS.mkdir(exist_ok=True)
CANTEEN_DB = Path(__file__).parent.parent / "canteen-asset-tracker" / "assets.db"

app = FastAPI(title="EXIF Test")


def _get_canteen_db():
    """Get a read/write connection to the canteen assets database."""
    if not CANTEEN_DB.exists():
        return None
    conn = sqlite3.connect(str(CANTEEN_DB))
    conn.row_factory = sqlite3.Row
    return conn


def _dms_to_decimal(dms, ref):
    """Convert EXIF DMS tuple to decimal degrees."""
    try:
        deg, minutes, sec = float(dms[0]), float(dms[1]), float(dms[2])
        decimal = deg + minutes / 60.0 + sec / 3600.0
        if ref in ("S", "W"):
            decimal = -decimal
        return round(decimal, 7)
    except Exception:
        return None


def extract_exif(image_bytes: bytes) -> dict:
    """Pull all useful EXIF fields + GPS from raw image bytes."""
    result = {"has_exif": False, "tags": {}, "gps": None}
    try:
        img = PILImage.open(io.BytesIO(image_bytes))
        exif = img.getexif()
        if not exif:
            return result

        for tag_id, value in exif.items():
            tag_name = PILImage.ExifTags.TAGS.get(tag_id, f"0x{tag_id:04x}")
            if tag_name in ("MakerNote", "UserComment", "PrintImageMatching"):
                continue
            result["tags"][tag_name] = str(value)[:300]

        if result["tags"]:
            result["has_exif"] = True

        gps_ifd = exif.get_ifd(0x8825)
        if gps_ifd:
            lat_ref = gps_ifd.get(1, "N")
            lat_dms = gps_ifd.get(2)
            lng_ref = gps_ifd.get(3, "E")
            lng_dms = gps_ifd.get(4)

            if lat_dms and lng_dms:
                lat = _dms_to_decimal(lat_dms, lat_ref)
                lng = _dms_to_decimal(lng_dms, lng_ref)
                if lat is not None and lng is not None:
                    result["gps"] = {
                        "lat": lat,
                        "lng": lng,
                        "lat_ref": str(lat_ref),
                        "lng_ref": str(lng_ref),
                        "raw_lat_dms": [float(v) for v in lat_dms],
                        "raw_lng_dms": [float(v) for v in lng_dms],
                    }
    except Exception as e:
        result["error"] = str(e)

    return result


def run_ocr(image_bytes: bytes) -> dict:
    """Run Tesseract OCR on the image."""
    if not HAS_TESSERACT:
        return {"available": False, "text": "", "error": "pytesseract not installed"}

    tmp_path = UPLOADS / f"ocr_{uuid.uuid4().hex}.jpg"
    tmp_path.write_bytes(image_bytes)
    try:
        img = PILImage.open(tmp_path)
        img_gray = img.convert("L")
        text = pytesseract.image_to_string(img_gray, config="--psm 6")
        match_5dash = re.search(r"(\d{5})[-\s]*(\d{6,})", text)
        match_5plus = re.search(r"(\d{5,})", text)
        return {
            "available": True,
            "raw_text": text.strip()[:500],
            "match_5dash6": match_5dash.group(0) if match_5dash else None,
            "match_5plus": match_5plus.group(0) if match_5plus else None,
        }
    finally:
        tmp_path.unlink(missing_ok=True)


def lookup_machine_id(machine_id: str) -> dict | None:
    """Look up an asset by machine_id. Returns asset dict or None."""
    conn = _get_canteen_db()
    if not conn:
        return None
    try:
        row = conn.execute(
            "SELECT id, machine_id, name, category, status, address, building_name, "
            "floor, room, latitude, longitude, make, model, description, photo_path "
            "FROM assets WHERE machine_id = ?",
            (machine_id.strip(),),
        ).fetchone()
        if row:
            return {
                "id": row["id"],
                "machine_id": row["machine_id"],
                "name": row["name"],
                "category": row["category"],
                "status": row["status"],
                "address": row["address"],
                "building_name": row["building_name"],
                "floor": row["floor"],
                "room": row["room"],
                "latitude": row["latitude"],
                "longitude": row["longitude"],
                "make": row["make"],
                "model": row["model"],
                "description": row["description"],
                "photo_path": row["photo_path"],
            }
    finally:
        conn.close()
    return None


@app.post("/api/analyze")
async def analyze_photo(file: UploadFile = File(...)):
    """Upload a photo, get back EXIF + OCR results."""
    contents = await file.read()
    file_size = len(contents)

    ext = Path(file.filename or "photo.jpg").suffix.lower()
    if ext not in {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".tiff", ".tif", ".dng", ".heic", ".heif"}:
        ext = ".jpg"
    fname = f"{uuid.uuid4().hex}{ext}"
    (UPLOADS / fname).write_bytes(contents)

    exif_result = extract_exif(contents)
    ocr_result = run_ocr(contents) if HAS_TESSERACT else {"available": False, "text": ""}

    machine_id = None
    asset = None
    if ocr_result.get("match_5dash6"):
        machine_id = re.sub(r"\D", "", ocr_result["match_5dash6"])[-5:]
        asset = lookup_machine_id(machine_id)

    return {
        "filename": file.filename,
        "saved_as": fname,
        "file_size": file_size,
        "file_size_kb": round(file_size / 1024, 1),
        "exif": exif_result,
        "ocr": ocr_result,
        "machine_id": machine_id,
        "asset": asset,
    }


@app.post("/api/bulk-process")
async def bulk_process(files: list[UploadFile] = File(...)):
    """Process multiple photos: OCR each, extract EXIF GPS, look up matching assets.

    Returns a list of results, each with:
      - filename, exif (gps), ocr match, matched asset (if found)
      - needs_gps: true if asset exists AND has no coordinates AND photo has GPS
    """
    if not files:
        return {"results": [], "summary": {"total": 0, "has_gps": 0, "matched": 0, "needs_gps": 0}}

    results = []
    summary = {"total": len(files), "has_gps": 0, "matched": 0, "needs_gps": 0}

    for file in files:
        contents = await file.read()
        file_size = len(contents)

        # Save
        ext = Path(file.filename or "photo.jpg").suffix.lower()
        if ext not in {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".tiff", ".tif", ".dng", ".heic", ".heif"}:
            ext = ".jpg"
        fname = f"{uuid.uuid4().hex}{ext}"
        (UPLOADS / fname).write_bytes(contents)

        exif_result = extract_exif(contents)
        ocr_result = run_ocr(contents) if HAS_TESSERACT else {"available": False, "text": ""}

        has_gps = exif_result.get("gps") is not None
        if has_gps:
            summary["has_gps"] += 1

        machine_id = None
        asset = None
        needs_gps = False

        if ocr_result.get("match_5dash6"):
            machine_id = re.sub(r"\D", "", ocr_result["match_5dash6"])[-5:]
            asset = lookup_machine_id(machine_id)
            if asset:
                summary["matched"] += 1
                # Check if asset needs GPS
                if (asset["latitude"] is None or asset["longitude"] is None) and has_gps:
                    needs_gps = True
                    summary["needs_gps"] += 1

        results.append({
            "filename": file.filename,
            "saved_as": fname,
            "file_size_kb": round(file_size / 1024, 1),
            "exif": exif_result,
            "ocr": ocr_result,
            "machine_id": machine_id,
            "asset": asset,
            "needs_gps": needs_gps,
        })

    return {"results": results, "summary": summary}


@app.get("/api/lookup")
async def lookup_asset(machine_id: str = ""):
    """Look up an asset by machine_id in the canteen assets database."""
    if not machine_id or not machine_id.strip():
        return {"found": False, "reason": "No machine_id provided"}

    asset = lookup_machine_id(machine_id.strip())
    if asset:
        return {"found": True, "asset": asset}
    return {"found": False, "reason": f"No asset with machine_id '{machine_id}'"}


@app.post("/api/push-gps")
async def push_gps(request: dict):
    """Update an asset's GPS coordinates from photo EXIF data.

    Body: {"asset_id": 123, "latitude": 40.7417, "longitude": -73.9292}
    Only updates assets that currently have NULL lat/lng.
    """
    asset_id = request.get("asset_id")
    latitude = request.get("latitude")
    longitude = request.get("longitude")

    if not asset_id or latitude is None or longitude is None:
        raise HTTPException(400, "asset_id, latitude, and longitude are required")

    conn = _get_canteen_db()
    if not conn:
        raise HTTPException(500, "Database not available")

    try:
        # Only update if currently NULL
        row = conn.execute(
            "SELECT latitude, longitude FROM assets WHERE id = ?", (int(asset_id),)
        ).fetchone()
        if not row:
            conn.close()
            raise HTTPException(404, f"Asset {asset_id} not found")
        if row["latitude"] is not None and row["longitude"] is not None:
            conn.close()
            return {"updated": False, "reason": "Asset already has GPS coordinates", "asset_id": asset_id}

        conn.execute(
            "UPDATE assets SET latitude = ?, longitude = ?, updated_at = datetime('now') WHERE id = ?",
            (float(latitude), float(longitude), int(asset_id)),
        )
        conn.commit()
        conn.close()
        return {"updated": True, "asset_id": asset_id, "latitude": float(latitude), "longitude": float(longitude)}
    except Exception as e:
        try:
            conn.close()
        except Exception:
            pass
        raise HTTPException(500, str(e))


@app.get("/api/uploads")
async def list_uploads():
    """List previously uploaded files."""
    files = sorted(UPLOADS.glob("*"), key=lambda p: p.stat().st_mtime, reverse=True)
    return [
        {"name": f.name, "size_kb": round(f.stat().st_size / 1024, 1)}
        for f in files[:20]
    ]


# Mount static LAST
app.mount("/", StaticFiles(directory="static", html=True), name="static")

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8903)