测井瓶在Heroku中的应用

Question

我正试图找到一种方法来构造我的代码，以便在Heroku上托管的生产服务器中查看日志。

我发现的每个教程似乎都是这样进行日志记录的：

How to show stdout logs in Heroku using Flask?

但是，我使用的是使用Blueprints的应用程序工厂模式。因此，这里有一些示例：

main.py

from app import create_app

app = create_app()

if __name__ == "__main__":
    app.run()

app/_ init _ _.py

from flask import Flask
from flask_sqlalchemy import SQLAlchemy
...
db = SQLAlchemy() 
...
def create_app():
    app = Flask(__name__)
    ...
    db.init_app(app)

    from .routes.demo_blueprint import demo_blueprint 
    ...
    # Register the routes to the Flask object
    app.register_blueprint(demo_blueprint) 
    ...   

app/routes/demo_blueprint.py

from app import db
...
demo_blueprint = Blueprint('demo_blueprint', __name__)

@demo_blueprint.route('/demo', methods=['GET'])
...

为了在蓝图级别执行日志记录，我需要从app中导入main.py。但是，这将导致导入错误，因为__init__.py在创建app之前导入了蓝图。我想知道这件事是否有什么可做的。

Answer 1

结果发现这是个简单的解决办法。要访问Blueprint中的应用程序上下文，只需使用current_app。如下所示：

How to show stdout logs in Heroku using Flask?

main.py

from app import create_app

app = create_app()

if __name__ == "__main__":
    app.run()

app/_ init _ _.py

from flask import Flask
from flask_sqlalchemy import SQLAlchemy
...
db = SQLAlchemy() 
...
def create_app():
    app = Flask(__name__)

    if __name__ != '__main__':
         gunicorn_logger = logging.getLogger('gunicorn.error')
         app.logger.handlers = gunicorn_logger.handlers
         app.logger.setLevel(gunicorn_logger.level)
    ...
    db.init_app(app)

    from .routes.demo_blueprint import demo_blueprint 
    ...
    # Register the routes to the Flask object
    app.register_blueprint(demo_blueprint) 
    ...   

app/routes/demo_blueprint.py

from flask import ***current_user***
from app import db
...
demo_blueprint = Blueprint('demo_blueprint', __name__)

@demo_blueprint.route('/demo', methods=['GET'])
def demo():
    current_app.logger.debug('debug message: %s', 'test')
...