![]() ![]() I will begin coding the surveyapi application by defining some settings inside of config.py like so: """ models.py: for defining classes that will serve as data objects for the survey application such as Survey, Question, and Choice.config.py: contains configuration settings for the Flask application.application.py: for creating an instance of the Flask application.api.py: for defining REST API route endpoints capable of consuming and producing JSON request and responses._init_.py: turns the surveyapi directory into a valid Python package.surveyapi/: the backend Flask application.appserver.py: start-up script for running the surveyapi application.manage.py: access to the Flask application instance for various Flask-Script commands.This results in a directory structure beginning at /backend like so (omitting the venv directory).īelow is a brief description of what each file is going to be used for: Within the surveyapi directory I make the files _init_.py, models.py, application.py, and api.py. Also, I will make a new directory inside of /backend that will become my "surveyapi" Flask application. In the /backend directory I make a few new files called manage.py and appserver.py. requests: a handy package for making network requests which I will use to test the REST API.Flask-Script: Extremely useful package for interacting with a Flask application from the command line.Flask-Migrate: Database migration library.Flask-SQLAlchemy: SQLAlchemy-based ORM with some Flask-specific awesome sauce packaged with it.Below is a brief explanation of the libraries that I installed and their intended usage. One thing that makes Flask (and in large part the entire Python ecosystem) so awesome are the large number of well-designed packages available on PyPI. ![]() ![]() (venv) $ pip install Flask Flask-SQLAlchemy Flask-Migrate Flask-Script requests I begin in the /backend directory by creating a Python3 virtual environment and installing Flask and a few other necessary libraries. Scaffolding out the Backend Project Files Instead I will be taking a more pragmatic approach focusing mostly on constructing a RESTful API to fuel the frontend with data, which I covered in the articles leading up to this one. Flask has already been covered in a couple of prior posts here and here on StackAbuse so, I will not be going into great detail pertaining to the basic or common parts of Flask. Series Contentįlask is a Python-based micro-framework for rapid prototyping and development of small to moderate size web applications. The code for this post is in a repo on my GitHub account under the branch FourthPost. The focus of this post will be on building a backend REST API using the Python based Flask web framework. And messages are sorted in the "SMS Junk" list of Messages App.Welcome to the fourth post on using Vue.js and Flask for full-stack web development. Notifications for Spam messages are disabled. This app works only with SMS and MMS messages from unknown senders it doesn’t work with messages from senders in a your Contacts list or with iMessage messages from any source. Set up the SpamSMS App Extension in your Settings. The app has all the essential tutorial pages within the app. SpamSMS works only in Offline mode, so no need to worry even if you have no internet availability. For more details please go through the Walkthrough in the app. It has the cleanest and simplest UI so any one can easily understand the flow of app and use it with ease. So no need to delete any item added by you. You also can add rules based on number just like words, and specify them it should be filtered or not.Īnytime you can enable or disable the filtering criteria for the specific keyword and number. Just add the keyword ‘DOMINOS’ into the keyword list and enable it. Like if you always want to move the message which has the keyword ‘DOMINOS’ to spam. You may add your custom keywords & numbers to override the incoming message. Are you getting too many unwanted SMS or MMS everyday and you can’t find the important ones in your ‘Messages’? SpamSMS uses Apple’s all new CoreML Identity Lookup framework to filter the unwanted messages out and shows you the ones you actually want. ![]()
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