import logging, sys, asyncio, random, json
from pathlib import Path

# ============================================================
# LOGGER SETUP
# ============================================================
logger = logging.getLogger("ai_engine_dummy")
logger.setLevel(logging.INFO)

# Handler untuk tampil di console
handler = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter("[%(asctime)s] %(levelname)s → %(message)s", "%H:%M:%S")
handler.setFormatter(formatter)
logger.addHandler(handler)

# ============================================================
# HELPER FUNCTION (opsional untuk simulasi delay)
# ============================================================
async def async_sleep_random(min_s=0.2, max_s=0.8):
    """
    Helper untuk simulasi waktu inferensi secara acak.
    """
    durasi = random.uniform(min_s, max_s)
    await asyncio.sleep(durasi)

# ============================================================
# HELPER
# ============================================================
def _metadata():
    """
    load file metadata.json into json data
    """
    path = Path("metadata/product.json")
    if not path.exists():
        return {"status": "error", "message": "metadata.json not found"}

    with open(path, "r") as f:
        data = json.load(f)
    return data

def _color_map():
    path = Path("metadata/defect.json")
    if not path.exists():
        return []

    with open(path, "r") as f:
        return json.load(f)

def model_by_id_metadata(part_id):
    """
    part_id = "4" # id part / product
    get model_path from metadata by part_id
    """
    metadata = _metadata()
    id_part = part_id
    item = next((x for x in metadata if x["id"] == id_part), None)
    model_path = item['model_path']
    return model_path

def model_by_pin_metadata(pin_api):
    """
    pin_api = "JI4ACL-GCSBYHBK03" # PIN API from part / product
    get model_path from metadata by pin_api
    """
    metadata = _metadata()
    pin_api = pin_api
    item = next((x for x in metadata if x["pin_api"] == pin_api), None)
    model_path = item['model_path']
    return model_path

def color_defect(defect_name):
    """
    Return BGR tuple color for OpenCV bounding box.
    """
    defect_name = defect_name.lower()
    data = _color_map()

    item = next((x for x in data if x["class"].lower() == defect_name), None)
    if item is None:
        return (0, 255, 0)  # Default GREEN jika tidak ditemukan

    hex_color = item["color"].lstrip('#')
    r = int(hex_color[0:2], 16)
    g = int(hex_color[2:4], 16)
    b = int(hex_color[4:6], 16)
    return (b, g, r)  # Convert to BGR