Introducing a new worker service architecture. Sorry for the long commit.
This design adheres to several key principles, primarily the Single
Responsibility Principle. Dependency Injection and composition are
prioritized over inheritance, enhancing modularity and maintainability.
Interactions between the backend and external workers are encapsulated in
classes implementing a common `WorkerService` interface. I chose Protocol
over an abstract class for agility, aligning closely with static typing
without requiring inheritance. Each `WorkerService` implementation can
independently manage recordings according to its specific requirements.
This flexibility ensures that adding a new worker service, such as for
LiveKit, can be done without any change to existing components.
Configuration management is centralized in a single `WorkerServiceConfig`
class, which loads and provides all settings for different worker
implementations, keeping configurations organized and extensible. The worker
service class itself handles accessing relevant configurations as needed,
simplifying the configuration process.
A basic dictionary in Django settings acts as a factory, responsible for
instantiating the correct worker service based on the client's request mode.
This approach aligns with Django development conventions, emphasizing
simplicity. While a full factory class with a builder pattern could provide
future flexibility, YAGNI (You Aren't Gonna Need It) suggests deferring
such complexity until it’s necessary.
At the core of this design is the worker mediator, which decouples worker
service implementations from the Django ORM and manages database state
according to worker state. The mediator is purposefully limited in
responsibility, handling only what’s essential. It doesn’t instantiate
worker services directly; instead, services are injected via composition,
allowing the mediator to manage any object conforming to the `WorkerService`
interface. This setup preserves flexibility and maintains a clear
separation of responsibilities. The factory create worker services,
the mediator runs it.
(sorry for this long commit)
I've chosen June, a closed project, for our product analysis. Please note that
this is temporary until we find our product-market fit and achieve
significant traction.
I selected June for several reasons, particularly their focus on pre-product-
market fit (PMF) analysis, which is crucial for us. Their approach will help us
track user engagement and identify the most important features.
Remember, the purpose of this data is not to provide definitive answers about
our product, but to prompt us to ask the right questions and engage with users
to find the answers.
I have updated all references of "Impress" to "Meet".
Migrations were manually updated and not regenerated. Never-mind,
they all will be squashed before the first release.
I have also searched for reference to "Magnify", and replaced them
by "Meet".
While updating the backend sources, I have also fixed other parts of
the project, namely:
- Compose file
- Github documentation and CI
- Makefile commands
I have renamed the Github project's name, from "Impress" to "Meet".
Updated the pyproject urls section, which provides essential metadata
about the project. This updates ensure all links point to the right
github repository.
Add livekit-api dependencies. According to the documentation, this Python
package is required while issuing Access Token for a LiveKit server, to
the users.
This commit introduces a boilerplate inspired by https://github.com/numerique-gouv/impress.
The code has been cleaned to remove unnecessary Impress logic and dependencies.
Changes made:
- Removed Minio, WebRTC, and create bucket from the stack.
- Removed the Next.js frontend (it will be replaced by Vite).
- Cleaned up impress-specific backend logics.
The whole stack remains functional:
- All tests pass.
- Linter checks pass.
- Agent Connexion sources are already set-up.
Why clear out the code?
To adhere to the KISS principle, we aim to maintain a minimalist codebase. Cloning Impress
allowed us to quickly inherit its code quality tools and deployment configurations for staging,
pre-production, and production environments.
What’s broken?
- The tsclient is not functional anymore.
- Some make commands need to be fixed.
- Helm sources are outdated.
- Naming across the project sources are inconsistent (impress, visio, etc.)
- CI is not configured properly.
This list might be incomplete. Let's grind it.
