2.4 KiB
Beanie
FastAPI Users provides the necessary tools to work with MongoDB databases using the Beanie ODM.
Setup database connection and collection
The first thing to do is to create a MongoDB connection using mongodb/motor (automatically installed with Beanie).
--8<-- "docs/src/db_beanie.py"
You can choose any name for the database.
Create the User model
As for any Beanie ODM model, we'll create a User
model.
--8<-- "docs/src/db_beanie.py"
As you can see, FastAPI Users provides a base class that will include base fields for our User
table. You can of course add you own fields there to fit to your needs!
!!! tip "Document ID is a MongoDB ObjectID" Beanie automatically manages document ID by encoding/decoding MongoDB ObjectID.
If you want to use another type, like UUID, you can override the `id` field:
```py
import uuid
from pydantic import Field
class User(BeanieBaseUser[uuid.UUID]):
id: uuid.UUID = Field(default_factory=uuid.uuid4)
```
Notice that `BeanieBaseUser` expects a generic type to define the actual type of ID you use.
!!! info
The base class is configured to automatically create a unique index on id
and email
.
Create the database adapter
The database adapter of FastAPI Users makes the link between your database configuration and the users logic. It should be generated by a FastAPI dependency.
--8<-- "docs/src/db_beanie.py"
Notice that we pass a reference to the User
model we defined above.
Initialize Beanie
When initializing your FastAPI app, it's important that you initialize Beanie so it can discover your models. We can achieve this using a startup event handler on the FastAPI app:
from beanie import init_beanie
@app.on_event("startup")
async def on_startup():
await init_beanie(
database=db, # (1)!
document_models=[
User, # (2)!
],
)
-
This is the
db
Motor database instance we defined above. -
This is the Beanie
User
model we defined above. Don't forget to also add your very own models!