Implement Filtering in Flask

Users can utilize filtering to obtain only the data they need by passing specific query parameters. Assume for the moment that we wish to include every tech movie in the database. Implementing this:

@app.route('/tech')
def tech():
tech_movies= Movie.query.filter(Movie.genre.ilike("tech"))
 results = [movie.format() for movie in tech_movies]
 return jsonify({
   'success':True,
   'results':results,
   'count':len(results)
 })

The property ilike is used in the code above to guarantee that the query is case-insensitive so that both “TECH” and “tech” will return the right results.

Output:

Python-based Flask is a microweb framework. Due to the fact that it doesn’t require any specific tools or libraries, it is categorized as a micro-framework. It lacks any components where pre-existing third-party libraries already provide common functionality, such as a database abstraction layer, form validation, or other components. However, Flask allows for extensions that may be used to add application functionalities just as they were built into the core of Flask. There are extensions for object-relational mappers, form validation, upload handling, several open authentication protocols, and a number of utilities associated with popular frameworks.