SQLAlchemy
This is the official documentation of the forestadmin-agent-django
and forestadmin-agent-flask
Python agents.
The SQLAlchemy data source allows importing collections from all models class that extends the class build with declarative_base
or that inherit from sqlalchemy.orm.DeclarativeBase
.
To make everything work as expected, you need to install the package sqlalchemy
.
Note that:
SQLAlchemy relationships will be respected
the db_uri
is mandatory only in the cases when the engine cannot be found in the base class.
When using the package Flask-SQLAlchemy, the setup is a bit different. In most of the case, the db_uri
is not needed
Enable support of live queries
By enabling this feature, users with the required permission level can create Live Query components (charts ↗, analytics charts ↗ and segments ↗), allowing them to create more sophisticated requests to your database, by leveraging the underlying query language, SQL in this case.
You can enable this feature by setting a connection name
(works as an identifier) when creating your datasource. This connection name
will be reflected on the UI when configuring a LiveQuery component, it should have a clear meaning for your Forest users.
After this point you should see on ForestAdmin an input asking for the connection
next to the live query
text input.
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