has_access_to_file runs for every non-owner file GET, per RAG file check and per shared-chat or model-attached file. Its final step called Models.get_models_by_user_id, which issued one grant query per non-owned workspace model, so a single file check on an instance with M workspace models cost M grant queries plus a group query, with the deny path always paying full price. Its collection_name step listed every knowledge base the user can access (itself one grant query per knowledge base) just to scan the list for one id. And get_accessible_folder_files repeated the whole pipeline per folder entry, refetching the caller's group memberships every time.
Three changes, all using parameters and helpers that already exist:
- Models.get_models_by_user_id resolves grants for all non-owned models in one get_accessible_resource_ids call and accepts prefetched user_group_ids.
- The collection_name check fetches the one referenced knowledge base and performs a single owner-or-grant check with the already-resolved group ids, preserving the write-requires-owner guard exactly (including its short-circuit before any grant query).
- get_accessible_folder_files resolves group ids once and threads them through every per-entry check.
Benchmark:
| metric | before | after |
| --- | --- | --- |
| filter loop CPU, 300 workspace models (queries stubbed) | 47 us | 19 us |
| grant queries per file-access check, M workspace models | M | 1 |
| group membership queries per folder listing, F files | F | 1 |
The stubbed CPU row understates the win: each removed query in the other two rows was a real database round trip.
Functionally verified with stubbed accessors: owned plus granted models are returned with owned ids excluded from the batch query; model-attached file access resolves through the batched path; the collection_name path does one KB fetch and one grant check with no full listing; a missing KB falls through; write access via a KB still requires the KB owner to own the file and short-circuits before the grant query; folder listings fetch groups exactly once.
The SVG-XSS hardening introduced in f5f4b5895 correctly rejects
data:image/svg+xml URIs on new input, but also caused a
pydantic_core.ValidationError when reading pre-existing models from
the database that had SVG data URIs stored as their profile images.
This ValidationError propagated unhandled through _to_model_model and
get_all_models, crashing the entire /api/models endpoint with HTTP 500
and leaving users with no models available in the UI.
Fix:
- Wrap validate_profile_image_url() in a try/except ValueError inside
ModelMeta.check_profile_image_url. Legacy entries are cleared to None
with a warning log instead of raising — the /model/profile/image API
endpoint already falls back to /static/favicon.png when the value is
empty.
- Default ModelMeta.profile_image_url to None instead of hardcoding
/static/favicon.png, since the serving endpoint handles the fallback.
- Add a per-model try/except in ModelsTable.get_all_models so that any
future unexpected validation failure on a single record skips that
model with an error log rather than aborting the entire list.
ModelMeta.profile_image_url now runs validate_profile_image_url, rejecting SVG/script data URIs (matching UserUpdateForm and ChannelWebhookForm). The /model/profile/image endpoint enforces the PROFILE_IMAGE_ALLOWED_MIME_TYPES allowlist and sets X-Content-Type-Options: nosniff, so an SVG data URI can no longer be served inline on-origin. Closes the fourth profile-image XSS sink missed by the user and webhook fixes.
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This fix restores and extends the username/email search functionality across workspace pages that was originally added in PR #14002. The issue was that:
1. The backend search functions for Models and Knowledge only searched `User.name` and `User.email`, but not `User.username`
2. The Functions admin page lacked user search entirely
Changes made:
Added User.username to backend search conditions for Models and Knowledge pages
Added complete user search (name, email, username) to the Functions admin page client-side filter
* feat: Add read-only access support for Models
- Backend: Add write_access field to ModelAccessResponse
- Backend: Update /models/list to return ModelAccessListResponse
- Frontend: Display Read Only badge in Models list
- Frontend: Disable inputs and save button when no write access
- Frontend: Hide action buttons for read-only models
* fix: Handle ModelAccessListResponse format in getModels API
- Backend returns {items, total} instead of {data}
- Update getModels API to handle both formats for backward compatibility
* fix: Show read-only shared models in workspace list
- Backend: Change search_models permission from 'write' to 'read' to include shared models
- Backend: Keep user_id filter to only show owned/shared models (not all public)
- Frontend: Handle ModelAccessListResponse format in getModels API
* fix: Align Read Only badge inline with model name
* fix: Correct badge placement and fix syntax error
* fix: Resolve badge truncation in Models list
- Add w-full to flex container for proper spacing
- Wrap Badge in div to prevent truncation
- Match Knowledge.svelte badge pattern
* fix: Align Read Only badge with Knowledge.svelte pattern
- Match Knowledge.svelte structure for badge placement
- Actions only show when write_access or admin
- Remove w-full from container to prevent right-overflow
* fix: Return write_access from getModelById endpoint
fix: Return write_access from getModelById endpoint
- Use ModelAccessResponse instead of raw dict
- Remove inefficient getModels call in edit page
* revert
* fix
* fix
* fix
- Pre-fetch user group IDs in get_*_by_user_id methods across models layer
- Pass user_group_ids to has_access to avoid repeated group queries
- Reduce query count from 1+N to 1+1 pattern for access control validation
- Apply consistent optimization across knowledge, models, notes, prompts, and tools
Signed-off-by: Sihyeon Jang <sihyeon.jang@navercorp.com>
- Replace individual user queries with batch fetching
- Use single query to fetch all required users at once
- Implement O(1) user lookup with dictionary mapping
- Reduce query count from 1+N to 1+1 pattern for models with base_model_id
Signed-off-by: Sihyeon Jang <sihyeon.jang@navercorp.com>