Troubleshooting Common Issues in Tiangolo Full Stack FastAPI and PostgreSQL
Tiangolo Full Stack FastAPI and PostgreSQL is a web development stack that combines the FastAPI web framework with the PostgreSQL database system.
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is designed to be easy to use and learn, and it is built on top of the popular Python web framework called Starlette. FastAPI is particularly well-suited for building APIs that serve machine learning models and other data-intensive applications.
PostgreSQL is a powerful, open-source object-relational database system that is widely used in web applications. It is known for its stability, robustness, and support for a wide range of data types and features.
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The following issues are the most popular issues regarding this project:
depends_on is deprecated in docker-compose v3
To solve the problem of
depends_on being deprecated in
docker-compose v3, you can update your
docker-compose.yml file to use the new
depends_on option in the
service configuration. For example, if you have a
web service that depends on a
db service, you can update your
docker-compose.yml file as follows:
version: "3" services: web: depends_on: - db db: image: postgres:latest
This will ensure that the
db service is started before the
web service, and that the
web service does not start until the
db service is ready.
It’s also worth noting that the
depends_on option only specifies the order in which the containers are started. It does not guarantee that a dependent service is fully initialized and ready to accept connections before the depending service is started. If you need to ensure that a service is fully initialized before another service is started, you may want to consider using a tool like
dockerize to delay the start of the depending service until the dependent service is fully initialized.
CRUD Sqlalchemy ORM, Pydantic, and query on multiple tables (like join table)
Before debugging the underlying FastAPI application, it is essential to ensure that the SQLAlchemy query returns accurate data. To get a better understanding of how to use this tool effectively and correctly, consult an appropriate tutorial such as one provided by https://docs.sqlalchemy.org/en/13/orm/tutorial.html After obtaining results from your query, you will likely need to convert them into a series of dictionaries or other compatible shapes so they can be plugged into a Pydantic model for error-free operation afterward – but only after having verified that all data acquired thus far corresponds with expectations
More issues from Tiangolo repos
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