import os
import logging
import logging.config
from pathlib import Path
from dotenv import load_dotenv
import datetime
import multiprocessing

# Set multiprocessing start method to 'spawn'
multiprocessing.set_start_method('spawn', force=True)

from label_studio_ml.api import init_app
from model import T5Model

# Load environment variables from .env file if it exists
load_dotenv()

# Configure logging
logging.config.dictConfig({
    'version': 1,
    'disable_existing_loggers': False,
    'formatters': {
        'standard': {
            'format': '[%(asctime)s] [%(levelname)s] [%(name)s::%(funcName)s::%(lineno)d] %(message)s'
        }
    },
    'handlers': {
        'console': {
            'class': 'logging.StreamHandler',
            'level': os.getenv('LOG_LEVEL', 'DEBUG'),
            'stream': 'ext://sys.stdout',
            'formatter': 'standard'
        }
    },
    'loggers': {
        '': {
            'handlers': ['console'],
            'level': os.getenv('LOG_LEVEL', 'DEBUG'),
            'propagate': True
        },
        'model': {
            'handlers': ['console'],
            'level': os.getenv('LOG_LEVEL', 'DEBUG'),
            'propagate': False
        }
    }
})

logger = logging.getLogger(__name__)

# Initialize the app at module level for Gunicorn
app = init_app(
    model_class=T5Model,
    basic_auth_user=os.environ.get('BASIC_AUTH_USER'),
    basic_auth_pass=os.environ.get('BASIC_AUTH_PASS'),
)

logger.info("===== Application Startup at %s =====", datetime.datetime.now())
logger.info("Model class: %s", T5Model.__name__)
logger.info("Environment variables:")
for key, value in os.environ.items():
    if not key.startswith(('PATH', 'PYTHON', 'HOME')):  # Skip system variables
        logger.info("  %s: %s", key, value)

if __name__ == "__main__":
    # Run the app when executed directly
    app.run(
        host='0.0.0.0',
        port=int(os.environ.get('PORT', 9090)),
        debug=os.environ.get('DEBUG', 'False').lower() == 'true'
    )