Rather than using .all(), you use the .one_or_none() method to get one person, or return None if no match is found. Your REST API works with JSON instead of Python objects. Because SQLAlchemy returns data as Python class instances, Connexion can’t serialize these class instances to JSON-formatted data.
You can protect your program by sanitizing all data that you get from the users of your application. This can be tricky to do right and would have to be done everywhere user data interacts with the database.
Serialize the Modeled Data With Marshmallow
This is the zero time zone from which all other time zones are offset. By using this as the zero time source, your timestamps are offsets from this standard reference point. Line python api design 11 creates a variable, app, which is the Flask instance initialized by Connexion. Line 8 creates the variable basedir pointing to the directory that the program is running in.
- Then, it’ll find the SQL statement delimiter character ; and will go right ahead and drop the entire table.
- Finally, you serialize your Python objects with .dump() and return the data of all the people as a response to the REST API call.
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Conceptually, you can think of a database table as a two-dimensional array where the rows are records, and the columns are fields in those records. In this section, you’ll add a proper database to your Flask project to fix these shortcomings. Before you continue working on your Flask project, it’s a good idea to create and activate a virtual environment. That way, you’re installing any project dependencies not system-wide but only in your project’s virtual environment. If you downloaded the source code from the link above, then make sure to follow the installation instructions within the provided README.md file.
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- Inheriting from db.Model gives Person the SQLAlchemy features to connect to the database and access its tables.
- Line 7 gets all the records returned by the SQL query and assigns them to the people variable.
- The config.py module is, as the name implies, where all of your configuration information is created and initialized.
- Next up, you’ll update the existing functions connected to the endpoints listed above so that they can work with the people.db database.
- However, the use case for your REST API will be taking user input from the web application and using it to create SQL queries.
- Marshmallow converts Python class instances to objects that can be converted to JSON.
Part three will mark the last part of this tutorial series. At the end, you’ll have a full-fledged Flask REST API with related database tables in the background. The read_all() function responds to the REST API URL endpoint GET /api/people and returns all the records in the person database table. Now it’s time to get rid of the old PEOPLE data structure. This will make sure that any changes you’re making to people data are performed on the database rather than the obsolete PEOPLE dictionary. SQLAlchemy is a big project and provides a lot of functionality to work with databases using Python.