Introduction
The rats-apps
package helps create applications; a small set of modules that eliminate the most
common boilerplate code when creating applications of any kind. We do this mainly by providing a
set of libraries to define service containers, and using the service containers to hide the
complexity of creating services–like authentication, storage, or database clients–from other parts
of the system, allowing developers to focus on the business logic of the application. Often referred
to as Dependency Injection, we use our
service containers to separate the concerns of constructing objects and using them.
Installation¶
Use pip
or your favorite packaging tool to install the package from PyPI.
What is an application?¶
Let's start with a standard python script, and slowly migrate it to be a rats application in order
to explain a few main details. Creating a __main__.py
file in a package makes it executable.
After the common python boilerplate code is added, this is typically what we find in the wild:
Using this pattern, we can define our application with a small modification, turning our main()
function into a runnable rats application, and then running it:
Info
The rats.apps.App class is used to quickly turn a script entry point–Callable[[], None]
–into an object with an execute()
method, defined by our rats.apps.Executable
interface.
Application Containers & Plugins¶
We can start to leverage rats.apps to make our application easy to extend. Let's replace our use
of the rats.apps.App wrapper and move our main()
function into a class. Using the
rats.apps.AppContainer and rats.apps.PluginMixin classes, we finish adapting our example
to be a rats application.
Info
If you're making these changes to an existing code base, you should be able to run things to
validate that everything still works as it did before. Your main()
function is now in
the execute()
method of your new Application
class, but none of the behavior of your
application should have been affected.
Now that we have a fully defined rats application; we can use rats.apps.Container instances to make services available to our application while remaining decoupled from the details of how these services are initialized. A common use case for this is to give our team access to the azure storage clients without needing to specify the authentication details; allowing us to ensure our application is functional in many compute environments.
from rats import apps
import foo
class Application(apps.AppContainer, apps.PluginMixin):
def execute() -> None:
blob_client = self._app.get(foo.BLOB_SERVICE_ID)
print(f"hello, world. loaded blob client: {blob_client}")
@apps.container()
def _plugins(self) -> apps.Container:
return foo.PluginContainer(self._app)
if __name__ == "__main__":
apps.run_plugin(Application)
from rats import apps
from azure.storage.blob import BlobServiceClient
BLOB_SERVICE_ID = apps.ServiceId[BlobServiceClient]("blob-client")
class PluginContainer(apps.Container, apps.PluginMixin):
@apps.service(BLOB_SERVICE_ID)
def _blob_client(self) -> BlobServiceClient:
credential = DefaultAzureCredential()
return BlobServiceClient(
account_url=f"https://example.blob.core.windows.net/",
credential=credential,
)
Success
Following these patterns, we can make services available to others with plugin containers; and
we can combine these containers to create applications. The rats.apps module has additional
libraries to help define different types of applications, designed to help your solutions
evolve as ideas mature. Our first runnable example was a single instance of the
[apps.AppContainer][] interface with an execute()
method; but a larger project might have
a few modules providing different aspects of the application's needs by sharing a set of
service ids and a plugin container.
Installable Plugins¶
We use the standard Entry Points mechanism to allow authors to make their application extensible. These plugins are instances of [apps.Container][] and loaded into applications like our previous examples.
from rats import apps
import foo
class Application(apps.AppContainer, apps.PluginMixin):
def execute() -> None:
blob_client = self._app.get(foo.BLOB_SERVICE_ID)
print(f"hello, world. loaded blob client: {blob_client}")
@apps.container()
def _plugins(self) -> apps.Container:
return apps.PluginContainers("foo.plugins")
if __name__ == "__main__":
apps.run_plugin(Application)
Success
We used [rats.app] to define an application, and used a service provided by a plugin container
that is loaded through a python entry point. You can create a script entry in your
pyproject.toml
file to expose your application through a terminal command: