# 运行 · GitBook

# 运行

在运行之前需要对Crawlab进行一些配置，配置文件为`config.py`。

    # project variables
    PROJECT_SOURCE_FILE_FOLDER = '/Users/yeqing/projects/crawlab/spiders' # 爬虫源码根目录
    PROJECT_DEPLOY_FILE_FOLDER = '/var/crawlab'  # 爬虫部署根目录
    PROJECT_LOGS_FOLDER = '/var/logs/crawlab'  # 日志目录
    PROJECT_TMP_FOLDER = '/tmp'  # 临时文件目录

    # celery variables
    BROKER_URL = 'redis://192.168.99.100:6379/0'  # 中间者URL，连接redis
    CELERY_RESULT_BACKEND = 'mongodb://192.168.99.100:27017/'  # CELERY后台URL
    CELERY_MONGODB_BACKEND_SETTINGS = {
        'database': 'crawlab_test',
        'taskmeta_collection': 'tasks_celery',
    }
    CELERY_TIMEZONE = 'Asia/Shanghai'
    CELERY_ENABLE_UTC = True

    # flower variables
    FLOWER_API_ENDPOINT = 'http://localhost:5555/api'  # Flower服务地址

    # database variables
    MONGO_HOST = '192.168.99.100'
    MONGO_PORT = 27017
    MONGO_DB = 'crawlab_test'

    # flask variables
    DEBUG = True
    FLASK_HOST = '127.0.0.1'
    FLASK_PORT = 8000

启动后端API，也就是一个Flask App，可以直接启动，或者用gunicorn代替。

    python manage.py app

启动本地Worker。在其他节点中如果想只是想执行任务的话，只需要启动这一个服务就可以了。

    python manage.py worker

启动前端服务器。

    cd frontend
    npm run serve

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