export FLASKAPPapp.py flask db init flask db migrate the output reads INFO alembic.env No changes in schema detected, so no migration. If it’s a slow API or CPU intensive job - consider putting it in an async background job. flask-appbuilder3.1.0 SQLAlchemy1.3.24 flask-migrate By issuing. Or you may spin up a read-replica DB to steer read requests to it if you’ve reached a limit with vertical scaling of the DB server. In case if slow DB queries - use EXPLAIN to see if the server uses the index for querying the data. In my career I’ve encountered such situations: Only after identifying an underlying cause for slow responses, you can start dealing with them. from flaskdebugtoolbar import DebugToolbarExtension app.config SECRETKEY verysecretsuchwow app.config DEBUGTBPROFILERENABLED True app.
Flask app builder python3 install#
So the best approach to work with them is to enable them on a development machine and run a test using ab, siege, or JMeter and analyze the results afterward. It’s simple to install with pip install flask-debugtoolbar. In the settings there is a list of all requests where we can see that was passed to the server:īoth dashboards are meant to be used when Flask is in debug mode and I wouldn’t put them on in a production environment. On the overview page there is a statistics of our endpoint’s usage: The dashboard is available under /flask-profile (default credentials are admin/admin) Surveys may range anywhere from five cents to 20 dollars depending on the type you do. Market research companies will want to get as much consumer feedback as possible, and these surveys are a great way to do this. The dashboard is also using SQLite by default (but MongoDB and SQLAlchemy are available backends). Take paid surveys online if you want to make some extra cash on the side.