Architecture changes:
- API Routes -> manager.py (thin adapter) -> services/ (business logic) -> queries/ (atomic DB ops)
- Services own session lifecycle via create_session()
- Queries accept Session as parameter, do single-table atomic operations
New app/assets/services/ layer:
- __init__.py - exports all service functions
- ingest.py - ingest_file_from_path(), register_existing_asset()
- asset_management.py - get_asset_detail(), update_asset_metadata(), delete_asset_reference(), set_asset_preview()
- tagging.py - apply_tags(), remove_tags(), list_tags()
Removed from queries/asset_info.py:
- ingest_fs_asset (moved to services/ingest.py as ingest_file_from_path)
- update_asset_info_full (moved to services/asset_management.py as update_asset_metadata)
- create_asset_info_for_existing_asset (moved to services/ingest.py as register_existing_asset)
Updated manager.py:
- Now a thin adapter that transforms API schemas to/from service calls
- Delegates all business logic to services layer
- No longer imports sqlalchemy.orm.Session or models directly
Test updates:
- Fixed test_cache_state.py import of pick_best_live_path (moved to helpers.py)
- Added comprehensive service layer tests (41 new tests)
- All 112 query + service tests pass
Amp-Thread-ID: https://ampcode.com/threads/T-019c24e2-7ae4-707f-ad19-c775ed8b82b5
Co-authored-by: Amp <amp@ampcode.com>
* feat(comfy_api): add basic 3D Model file types
* update Tripo nodes to use File3DGLB
* update Rodin3D nodes to use File3DGLB
* address PR review feedback:
- Rename File3D parameter 'path' to 'source'
- Convert File3D.data property to get_data()
- Make .glb extension check case-insensitive in nodes_rodin.py
- Restrict SaveGLB node to only accept File3DGLB
* Fixed a bug in the Meshy Rig and Animation nodes
* Fix backward compatability
This is using a different layers weight with .to(). Change it to use
the ops caster if the original layer is a comfy weight so that it picks
up dynamic_vram and async_offload functionality in full.
Co-authored-by: Rattus <rattus128@gmail.com>
* mp: fix full dynamic unloading
This was not unloading dynamic models when requesting a full unload via
the unpatch() code path.
This was ok, i your workflow was all dynamic models but fails with big
VRAM leaks if you need to fully unload something for a regular ModelPatcher
It also fices the "unload models" button.
* mm: load models outside of Aimdo Mempool
In dynamic_vram mode, escape the Aimdo mempool and load into the regular
mempool. Use a dummy thread to do it.
This function has a dtype argument that allows the caller to set the
dtype in the cast. TIL Some models override this on weight casts, which
means its the highest priority.
Priority scheme is: argument > model dtype > state dict dtype
pinned memory was converted back to pinning the CPU side weight without
any changes. Fix the pinner to use the CPU weight and not the model defined
geometry. This will either save RAM or stop buffer overruns when the types
mismatch.
Fix the model defined weight caster to use the [ s.weight, s.bias ]
interpretation, as xfer_dest might be the flattened pin now. Fix the detection
of needing to cast to not be conditional on !pin.
- Change error type from 'invalid_prompt' to 'missing_node_type' for frontend detection
- Add extra_info with node_id, class_type, and node_title (from _meta.title)
- Improve user-facing message: 'Node X not found. The custom node may not be installed.'
Move count increment before isinstance(item, dict) check so that
non-dict output items (like text strings from PreviewAny node)
are included in outputs_count.
This aligns OSS Python with Cloud's Go implementation which uses
len(itemsArray) to count ALL items regardless of type.
Amp-Thread-ID: https://ampcode.com/threads/T-019c0bb5-14e0-744f-8808-1e57653f3ae3
Co-authored-by: Amp <amp@ampcode.com>
When a node is declared as dev-only, it doesn't show in the default UI
unless the dev mode is enabled in the settings. The intention is to
allow nodes related to unit testing to be included in ComfyUI
distributions without confusing the average user.
