1172 Commits

Author SHA1 Message Date
psychedelicious
c2a3c66e49 feat(app): avoid nested cursors in workflow_records service 2025-03-04 08:33:42 +11:00
psychedelicious
c0a0d20935 feat(app): avoid nested cursors in style_preset_records service 2025-03-04 08:33:42 +11:00
psychedelicious
028d8d8ead feat(app): avoid nested cursors in model_records service 2025-03-04 08:33:42 +11:00
psychedelicious
657095d2e2 feat(app): avoid nested cursors in image_records service 2025-03-04 08:33:42 +11:00
psychedelicious
1c47dc997e feat(app): avoid nested cursors in board_records service 2025-03-04 08:33:42 +11:00
psychedelicious
a3de6b6165 feat(app): avoid nested cursors in board_image_records service 2025-03-04 08:33:42 +11:00
psychedelicious
e57f0ff055 experiment(app): avoid nested cursors in session_queue service
SQLite cursors are meant to be lightweight and not reused. For whatever reason, we reuse one per service for the entire app lifecycle.

This can cause issues where a cursor is used twice at the same time in different transactions.

This experiment makes the session queue use a fresh cursor for each method, hopefully fixing the issue.
2025-03-04 08:33:42 +11:00
psychedelicious
7399909029 feat(app): use simpler syntax for enqueue_batch threaded execution 2025-03-03 14:40:48 +11:00
psychedelicious
c8aaf5e76b tidy(app): remove extraneous class attr type annotations 2025-03-03 14:40:48 +11:00
psychedelicious
0cdf7a7048 Revert "experiment(app): simulate very long enqueue operations (15s)"
This reverts commit eb6a323d0b70004732de493d6530e08eb5ca8acf.
2025-03-03 14:40:48 +11:00
psychedelicious
14f9d5b6bc experiment(app): remove db locking logic
Rely on WAL mode and the busy timeout.

Also changed:
- Remove extraneous rollbacks when we were only doing a `SELECT`
- Remove try/catch blocks that were made extraneous when removing the extraneous rollbacks
2025-03-03 14:40:48 +11:00
psychedelicious
eec4bdb038 experiment(app): enable WAL mode and set busy_timeout
This allows for read and write concurrency without using a global mutex. Operations may still fail they take longer than the busy timeout (5s).

If we get a database lock error after waiting 5s for an operation, we have a problem. So, I think it's actually better to use a busy timeout instead of a global mutex.

Alternatively, we could add a timeout to the global mutex.
2025-03-03 14:40:48 +11:00
psychedelicious
f3dd44044a experiment(app): run enqueue_batch async in a thread 2025-03-03 14:40:48 +11:00
psychedelicious
03ca83fe13 experiment(app): simulate very long enqueue operations (15s) 2025-03-03 14:40:48 +11:00
Ryan Dick
a36a627f83 Switch from use_cuda_malloc flag to a general pytorch_cuda_alloc_conf config field that allows full customization of the CUDA allocator. 2025-02-28 21:39:09 +00:00
Ryan Dick
5302d4890f Add use_cuda_malloc config option. 2025-02-28 21:39:09 +00:00
psychedelicious
559654f0ca revert(app): get_all_board_image_names_for_board requires board_id 2025-02-27 10:19:13 +11:00
Eugene Brodsky
5d33874d58 fix(backend): ValuesToInsertTuple.retried_from_item_id should be an int 2025-02-27 07:35:41 +11:00
Mary Hipp
0063315139 fix(api): add new args to all uses of get_all_board_image_names_for_board 2025-02-26 15:05:40 -05:00
psychedelicious
047c643295 tidy(app): document & clean up batch prep logic 2025-02-26 21:04:23 +11:00
psychedelicious
d1e03aa1c5 tidy(app): remove timing debug logs 2025-02-26 21:04:23 +11:00
psychedelicious
1bb8edf57e perf(app): optimise batch prep logic even more
Found another place where we deepcopy a dict, but it is safe to mutate.

Restructured the prep logic a bit to support this. Updated tests to use the new structure.
2025-02-26 21:04:23 +11:00
psychedelicious
a3e78f0db6 perf(app): optimise batch prep logic
- Avoid pydantic models when dict manipulation works
- Avoid extraneous deep copies when we can safely mutate
- Avoid NamedTuple construct and its overhead
- Fix tests to use altered function signatures
- Remove extraneous populate_graph function
2025-02-26 21:04:23 +11:00
psychedelicious
ef95f4962c feat(app): extend "all image names for board" apis
The method and route now supports:
- "none" as a board ID, sentinel value for uncategorized
- Optionally specify image categories
- Optionally specify is_intermediate
2025-02-26 18:25:23 +11:00
psychedelicious
da7b31b2a8 fix(app): add form to Workflow pydantic schema so it gets saved 2025-02-21 12:24:03 +11:00
psychedelicious
675ac348de feat(app): add retry queue item functionality
Retrying a queue item means cloning it, resetting all execution-related state. Retried queue items reference the item they were retried from by id. This relationship is not enforced by any DB constraints.

- Add `retried_from_item_id` to `session_queue` table in DB in a migration.
- Add `retry_items_by_id` method to session queue service. Accepts a list of queue item IDs and clones them (minus execution state). Returns a list of retried items. Items that are not in a canceled or failed state are skipped.
- Add `retry_items_by_id` HTTP endpoint that maps 1-to-1 to the queue service method.
- Add `queue_items_retried` event, which includes the list of retried items.
2025-02-18 09:14:03 +11:00
Maxim Evtush
b51312f1ba Update model_images_common.py 2025-02-11 20:03:11 +11:00
psychedelicious
50cb27cd0b feat(nodes): support collect -> iterate node connections w/ validation 2025-02-06 07:57:26 +11:00
psychedelicious
8556a2558e chore(nodes): better naming for graph validation utils 2025-02-06 07:57:26 +11:00
psychedelicious
2fb35d25dd feat(nodes): field type Any accepts collections 2025-02-06 07:57:26 +11:00
psychedelicious
592e45a078 feat(nodes): improved graph validation error messages 2025-02-06 07:57:26 +11:00
Riku
47dc954385 feat(app): add cancel all except current queue item functionality 2025-02-04 12:23:23 +11:00
psychedelicious
db5f016826 fix(nodes): allow batch datum items to mix ints and floats
Unfortunately we cannot do strict floats or ints.

The batch data models don't specify the value types, it instead relies on pydantic parsing. JSON doesn't differentiate between float and int, so a float `1.0` gets parsed as `1` in python.

As a result, we _must_ accept mixed floats and ints for BatchDatum.items.

Tests and validation updated to handle this.

Maybe we should update the BatchDatum model to have a `type` field? Then we could parse as float or int, depending on the inputs...
2025-01-17 12:19:04 +11:00
Ryan Dick
e5e848d239 Update config docstring. 2025-01-16 22:34:23 +00:00
Ryan Dick
36a3869af0 Add keep_ram_copy_of_weights config option. 2025-01-16 15:35:25 +00:00
Ryan Dick
974b4671b1 Deprecate the ram and vram configs to make the migration to dynamic
memory limits smoother for users who had previously overriden these
values.
2025-01-07 16:45:29 +00:00
Ryan Dick
a167632f09 Calculate model cache size limits dynamically based on the available RAM / VRAM. 2025-01-07 01:14:20 +00:00
Ryan Dick
d0bfa019be Add 'enable_partial_loading' config flag. 2025-01-07 00:31:00 +00:00
Ryan Dick
535e45cedf First pass at adding partial loading support to the ModelCache. 2025-01-07 00:30:58 +00:00
Mary Hipp
7d6c443d6f fix(api): limit board_name length to 300 characters 2025-01-06 10:49:49 +11:00
psychedelicious
b6d7a44004 refactor(events): include full model source in model install events
This is required to fix an issue with the MM UI's error handling.

Previously, we only included the model source as a string. That could be an arbitrary URL, file path or HF repo id, but the frontend has no parsing logic to differentiate between these different model sources.

Without access to the type of model source, it is difficult to determine how the user should proceed. For example, if it's HF URL with an HTTP unauthorized error, we should direct the user to log in to HF. But if it's a civitai URL with the same error, we should not direct the user to HF.

There are a variety of related edge cases.

With this change, the full `ModelSource` object is included in each model install event, including error events.

I had to fix some circular import issues, hence the import changes to files other than `events_common.py`.
2025-01-03 11:21:23 -05:00
Ryan Dick
7dc3e0fdbe Get rid of ModelLocker. It was an unnecessary layer of indirection. 2024-12-24 14:23:18 +00:00
Ryan Dick
d30a9ced38 Rename model_cache_default.py -> model_cache.py. 2024-12-24 14:23:18 +00:00
Ryan Dick
e0bfa6157b Remove ModelCacheBase. 2024-12-24 14:23:18 +00:00
Ryan Dick
83ea6420e2 Move CacheStats to its own file. 2024-12-24 14:23:18 +00:00
psychedelicious
a9a6720bad feat(app): change queue item execution log from debug to info
This provides useful context for subsequent logs during queue item execution.
2024-12-20 09:19:04 +11:00
psychedelicious
858bf9cf8c feat(api): less verbose uvicorn logs
Uvicorn's logging is rather verbose. This change adds a `log_level_network` config setting to independently control uvicorn's log outputs. The setting defaults to warning.

The change hides the helpful startup message that says the host and port we are running on.

For example: `Uvicorn running on http://0.0.0.0:9090 (Press CTRL+C to quit`

The ASGI lifespan handler is updated to log an equivalent message on startup, regardless of log level settings.

Besides being helpful, the launcher relies on a message like this to launch the app. So, previously, if the user set their log level to anything above info (e.g. warning or error), the launcher would fail to open the app. This change prevents that edge case.
2024-12-20 09:19:04 +11:00
David Hauptman
74a29c3735 re-format to fix ruff error 2024-12-19 22:33:17 +11:00
David Hauptman
6fc6be3aa0 Fix error message when adding a local path with quotes around the string 2024-12-19 22:33:17 +11:00
Eugene Brodsky
4c94d41fa9 (chore) ruff format 2024-12-04 17:02:08 +00:00