from pathlib import Path
import sys
# 为了避免耦合，微服务，可能确实要将上级的上级目录作为一个单独的进程来处理，此目录作为一个单独的UI项目
sys.path.append(str(Path(r'G:\code\upwork\zhang_crawl_bio\ui\backend')))
from src.services.subscription_manager import SubscriptionManager
from utils.config import config,APP_PATH
from utils.process_mgr import process_manager

import asyncio
from utils.logu import get_logger
from routers.worker import health_check
import os
logger = get_logger('mytests', file=True)

async def main():
    python_exe = sys.executable
    WORKER_DIR_BASE = APP_PATH.parent.parent
    logger.info(f"{WORKER_DIR_BASE}")
    # return
    redis_cmd = [config.redis_exe]
    logger.info(f"{redis_cmd}")
    flower_db = WORKER_DIR_BASE / 'output' / 'flower_db'
    await process_manager.start_process("redis_cmd", redis_cmd, cwd=WORKER_DIR_BASE)
    # G:\code\upwork\zhang_crawl_bio\crawl_env\python.exe -m celery -A worker.celery.app flower --address=127.0.0.1 --persistent=True --db=".\output\flower_db"
    flower_cmd = [python_exe, '-m', 'celery', '-A', 'worker.celery.app', 'flower', '--address=127.0.0.1', '--persistent=True', f'--db={flower_db}']
    await process_manager.start_process("flower", flower_cmd, cwd=WORKER_DIR_BASE)
    proces = process_manager.processes.get("flower").get('process')

    search_worker_name = 'search'
    crawl_worker_name = 'crawl'
    convert_worker_name = 'convert'
    worker_list = [search_worker_name, crawl_worker_name, convert_worker_name]
    for worker_name in worker_list:
        await process_manager.start_process(f"{worker_name}_worker", [python_exe, '-m', 'celery', '-A', 'worker.celery.app', 'worker', '-Q',f'{worker_name}_queue', f'--hostname={worker_name}@%h'], cwd=WORKER_DIR_BASE)
    
    logger.info(f"{proces}") 
    await proces.wait()
    return
    return
    res = await health_check()
    print(res)

if __name__ == "__main__":
    asyncio.run(main())