from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_cors import CORS import logging from app.config.config import config, current_env import os db = SQLAlchemy() def create_app(): """Create and configure the Flask application""" app = Flask(__name__) # 加载配置 app.config.from_object(config[current_env]) # 初始化扩展 CORS(app) db.init_app(app) # 注册蓝图 from app.api.meta_data import bp as meta_bp from app.api.data_resource import bp as resource_bp from app.api.data_model import bp as data_model_bp from app.api.data_interface import bp as data_interface_bp from app.api.data_metric import bp as data_metric_bp from app.api.production_line import bp as production_line_bp from app.api.graph import bp as graph_bp from app.api.system import bp as system_bp app.register_blueprint(meta_bp, url_prefix='/api/meta') app.register_blueprint(resource_bp, url_prefix='/api/resource') app.register_blueprint(data_model_bp, url_prefix='/api/model') app.register_blueprint(data_interface_bp, url_prefix='/api/interface') app.register_blueprint(data_metric_bp, url_prefix='/api/metric') app.register_blueprint(production_line_bp, url_prefix='/api/pipeline') app.register_blueprint(graph_bp, url_prefix='/api/graph') app.register_blueprint(system_bp, url_prefix='/api/system') # Configure logging configure_logging(app) # 输出启动信息 app.logger.info(f"Starting server in {current_env} mode on port {app.config['PORT']}") return app def configure_logging(app): """Configure logging for the application""" env = os.environ.get('FLASK_ENV', 'development') log_file = f'flask_{env}.log' logger = logging.getLogger("app") handler = logging.FileHandler(log_file, encoding='UTF-8') handler.setLevel(logging.INFO) logging_format = logging.Formatter( '%(asctime)s - %(levelname)s - %(filename)s - %(funcName)s - %(lineno)s - %(message)s') handler.setFormatter(logging_format) console = logging.StreamHandler() console.setLevel(logging.INFO) console.setFormatter(logging_format) logger.addHandler(handler) logger.addHandler(console) return logger