Commit Graph

20 Commits

Author SHA1 Message Date
psychedelicious
fb694b3e17 feat(app): add model_install_download_started event
Previously, we used `model_install_download_progress` for both download starting and progressing. When handling this event, we don't know which actual thing it represents.

Add `model_install_download_started` event to explicitly represent a model download started event.
2024-06-17 09:50:25 +10:00
Lincoln Stein
93c9852142 fix ruff 2024-06-03 11:41:47 -07:00
Lincoln Stein
493f81788c added a few comments to document design choices 2024-06-03 11:41:47 -07:00
psychedelicious
2f9ebdec69 fix(app): openapi schema generation
Some tech debt related to dynamic pydantic schemas for invocations became problematic. Including the invocations and results in the event schemas was breaking pydantic's handling of ref schemas. I don't really understand why - I think it's a pydantic bug in a remote edge case that we are hitting.

After many failed attempts I landed on this implementation, which is actually much tidier than what was in there before.

- Create pydantic-enabled types for `AnyInvocation` and `AnyInvocationOutput` and use these in place of the janky dynamic unions. Actually, they are kinda the same, but better encapsulated. Use these in `Graph`, `GraphExecutionState`, `InvocationEventBase` and `InvocationCompleteEvent`.
- Revise the custom openapi function to work with the new models.
- Split out the custom openapi function to a separate file. Add a `post_transform` callback so consumers can customize the output schema.
- Update makefile scripts.
2024-05-30 12:03:03 +10:00
psychedelicious
21aa42627b feat(events): add dynamic invocation & result validators
This is required to get these event fields to deserialize correctly. If omitted, pydantic uses `BaseInvocation`/`BaseInvocationOutput`, which is not correct.

This is similar to the workaround in the `Graph` and `GraphExecutionState` classes where we need to fanagle pydantic with manual validation handling.
2024-05-28 05:11:37 -07:00
psychedelicious
a4f88ff834 feat(events): add __event_name__ as ClassVar to EventBase
This improves types for event consumers that need to access the event name.
2024-05-28 05:11:37 -07:00
psychedelicious
b50133d5e1 feat(events): register event schemas
This allows for events to be dispatched using dicts as payloads, and have the dicts validated as pydantic schemas.
2024-05-27 11:13:47 +10:00
psychedelicious
bbb90ff949 feat(events): restore whole invocation to event payloads
Removing this is a breaking API change - some consumers of the events need the whole invocation. Didn't realize that until now.
2024-05-27 10:17:02 +10:00
psychedelicious
9d9801b2c2 feat(events): stronger generic typing for event registration 2024-05-27 10:17:02 +10:00
psychedelicious
084cf26ed6 refactor: remove all session events
There's no longer any need for session-scoped events now that we have the session queue. Session started/completed/canceled map 1-to-1 to queue item status events, but queue item status events also have an event for failed state.

We can simplify queue and processor handling substantially by removing session events and instead using queue item events.

- Remove the session-scoped events entirely.
- Remove all event handling from session queue. The processor still needs to respond to some events from the queue: `QueueClearedEvent`, `BatchEnqueuedEvent` and `QueueItemStatusChangedEvent`.
- Pass an `is_canceled` callback to the invocation context instead of the cancel event
- Update processor logic to ensure the local instance of the current queue item is synced with the instance in the database. This prevents race conditions and ensures lifecycle callback do not get stale callbacks.
- Update docstrings and comments
- Add `complete_queue_item` method to session queue service as an explicit way to mark a queue item as successfully completed. Previously, the queue listened for session complete events to do this.

Closes #6442
2024-05-27 09:06:02 +10:00
psychedelicious
368127bd25 feat(events): register_events supports single event 2024-05-27 09:06:02 +10:00
psychedelicious
64d553f72c feat(events): restore temp handling of user/project 2024-05-27 09:06:02 +10:00
psychedelicious
0f733c42fc fix(events): fix denoise progress percentage
- Restore calculation of step percentage but in the backend instead of client
- Simplify signatures for denoise progress event callbacks
- Clean up `step_callback.py` (types, do not recreate constant matrix on every step, formatting)
2024-05-27 09:06:02 +10:00
psychedelicious
d97186dfc8 feat(events): remove payload registry, add method to get event classes
We don't need to use the payload schema registry. All our events are dispatched as pydantic models, which are already validated on instantiation.

We do want to add all events to the OpenAPI schema, and we referred to the payload schema registry for this. To get all events, add a simple helper to EventBase. This is functionally identical to using the schema registry.
2024-05-27 09:06:02 +10:00
psychedelicious
88a2340b95 feat(events): use builder pattern for download events 2024-05-27 09:06:02 +10:00
psychedelicious
567b87cc50 docs(events): update event docstrings 2024-05-27 09:06:02 +10:00
psychedelicious
bf03127c69 fix(events): add missing __event_name__ to EventBase 2024-05-27 09:06:02 +10:00
psychedelicious
2dc752ea83 feat(events): simplify event classes
- Remove ABCs, they do not work well with pydantic
- Remove the event type classvar - unused
- Remove clever logic to require an event name - we already get validation for this during schema registration.
- Rename event bases to all end in "Base"
2024-05-27 09:06:02 +10:00
psychedelicious
8d79ce94aa feat(ui): update UI to use new events
- Use OpenAPI schema for event payload types
- Update all event listeners
- Add missing events / remove old nonexistent events
2024-05-27 09:06:02 +10:00
psychedelicious
9bd78823a3 refactor(events): use pydantic schemas for events
Our events handling and implementation has a couple pain points:
- Adding or removing data from event payloads requires changes wherever the events are dispatched from.
- We have no type safety for events and need to rely on string matching and dict access when interacting with events.
- Frontend types for socket events must be manually typed. This has caused several bugs.

`fastapi-events` has a neat feature where you can create a pydantic model as an event payload, give it an `__event_name__` attr, and then dispatch the model directly.

This allows us to eliminate a layer of indirection and some unpleasant complexity:
- Event handler callbacks get type hints for their event payloads, and can use `isinstance` on them if needed.
- Event payload construction is now the responsibility of the event itself (a pydantic model), not the service. Every event model has a `build` class method, encapsulating this logic. The build methods are provided as few args as possible. For example, `InvocationStartedEvent.build()` gets the invocation instance and queue item, and can choose the data it wants to include in the event payload.
- Frontend event types may be autogenerated from the OpenAPI schema. We use the payload registry feature of `fastapi-events` to collect all payload models into one place, making it trivial to keep our schema and frontend types in sync.

This commit moves the backend over to this improved event handling setup.
2024-05-27 09:06:02 +10:00