exif-test/server.py

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

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

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

UPLOADS = Path(__file__).parent / "uploads"
UPLOADS.mkdir(exist_ok=True)

app = FastAPI(title="EXIF Test")


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

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

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

        # GPS IFD
        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")
        # Extract machine ID patterns
        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)


@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)

    # Save
    ext = Path(file.filename or "photo.jpg").suffix.lower()
    if ext not in {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".tiff", ".tif", ".dng"}:
        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": ""}

    # Extract machine ID from OCR for auto-lookup
    machine_id = None
    if ocr_result.get("match_5dash6"):
        machine_id = re.sub(r"\D", "", ocr_result["match_5dash6"])[-5:]

    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,
    }


@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"}

    import sqlite3
    from pathlib import Path as _Path

    db_path = _Path(__file__).parent.parent / "canteen-asset-tracker" / "assets.db"
    if not db_path.exists():
        return {"found": False, "reason": f"Database not found at {db_path}"}

    try:
        conn = sqlite3.connect(str(db_path))
        conn.row_factory = sqlite3.Row
        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()
        conn.close()

        if row:
            return {
                "found": True,
                "asset": {
                    "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"],
                },
            }
        return {"found": False, "reason": f"No asset with machine_id '{machine_id}'"}
    except Exception as e:
        return {"found": False, "reason": 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)