feat: Knowledge table filtering - #2242
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- changed filter params to accept repeated params - added data_source to filter params as an option from knowledge filter -safe guarded sentinel value * to not be taken as a literal -listFilesFilterParam no longer reduces array to one string; replaced with repeated-param serialisation -
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WalkthroughThe PR adds repeatable file filters and data-source whitelists across the frontend and backend. It centralizes facet aggregation and normalization, counts unique files, resets pagination when filters change, and displays facet counts. ChangesFile filtering and facet counts
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: ⚪ Minimal · up to The filtering changes are merge-ready after normal checks and review; no actionable merge-blocking risk remains. Sequence Diagram(s)sequenceDiagram
participant KnowledgePage
participant PublicV2Routes
participant FileServiceV2
participant OpenSearch
KnowledgePage->>PublicV2Routes: Send repeated connector, MIME, owner, and data_sources filters
PublicV2Routes->>FileServiceV2: Forward list-valued filters
FileServiceV2->>OpenSearch: Apply term or terms clauses and filename filters
OpenSearch-->>FileServiceV2: Return filtered files
FileServiceV2-->>KnowledgePage: Return file listing or search results
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
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Inline comments:
In `@src/services/search_service.py`:
- Around line 80-97: Update the bucket normalization in the facet-processing
flow so only a list of dictionary bucket entries is iterated; treat non-list
buckets and non-dictionary elements as an empty bucket list or otherwise skip
them before calling bucket.get. Preserve the existing key and doc_count
normalization for valid buckets.
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📒 Files selected for processing (10)
frontend/app/api/queries/useGetSearchAggregations.tsfrontend/app/api/queries/useListFiles.tsfrontend/app/knowledge/page.tsxfrontend/components/knowledge-filter-panel.tsxsrc/api/v2/files.pysrc/app/routes/public_v2.pysrc/services/file_service.pysrc/services/file_service_v2.pysrc/services/search_service.pytests/unit/test_query_acl_filtering.py
💤 Files with no reviewable changes (1)
- src/services/file_service.py
| parsedFilterData?.filters?.connector_types?.filter((v) => v !== "*") || | ||
| undefined, |
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nit: .filter((v) => v !== "*") || undefined never yields undefined because empty arrays are truthy in JavaScript; the || undefined fallback is dead code
| typeof bucket.count === "number" | ||
| ? `${bucket.key} (${bucket.count})` | ||
| : bucket.key, |
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nit: this is small but duplicated across each dropdown could be made resuable
| if connector_type: | ||
| filter_clauses.append({"term": {"connector_type": connector_type}}) | ||
| clause = ( | ||
| {"term": {"connector_type": connector_type[0]}} | ||
| if len(connector_type) == 1 | ||
| else {"terms": {"connector_type": connector_type}} | ||
| ) | ||
| filter_clauses.append(clause) | ||
| if mimetype: | ||
| filter_clauses.append({"term": {"mimetype": mimetype}}) | ||
| clause = ( | ||
| {"term": {"mimetype": mimetype[0]}} | ||
| if len(mimetype) == 1 | ||
| else {"terms": {"mimetype": mimetype}} | ||
| ) | ||
| filter_clauses.append(clause) | ||
| if owner: | ||
| filter_clauses.append({"term": {"owner": owner}}) | ||
| clause = ( | ||
| {"term": {"owner": owner[0]}} if len(owner) == 1 else {"terms": {"owner": owner}} | ||
| ) | ||
| filter_clauses.append(clause) | ||
|
|
||
| effective_sources = [s for s in (data_sources or []) if s != "*"] | ||
| if effective_sources: | ||
| clause = ( | ||
| {"term": {"filename": effective_sources[0]}} | ||
| if len(effective_sources) == 1 | ||
| else {"terms": {"filename": effective_sources}} | ||
| ) | ||
| filter_clauses.append(clause) |
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Only data_sources strips the "*" wildcard sentinel; connector_type, mimetype, and owner pass "*" through as a literal OpenSearch term filter that matches zero documents.
mfortman11
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| "buckets": [ | ||
| { | ||
| "key": bucket.get("key"), | ||
| **( | ||
| {} | ||
| if facet_name == "data_sources" | ||
| else { | ||
| "doc_count": bucket.get("files", {}).get( | ||
| "value", bucket.get("doc_count", 0) | ||
| ) | ||
| } | ||
| ), | ||
| } |
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The normalizer at line 88-89 deliberately strips doc_count from data_sources buckets. But when a token-like query triggers _apply_exact_match_file_filter, line 163 rebuilds all facets with doc_count. So the frontend will show "config.yaml (1)" for token queries but just "config.yaml" for prose queries — the count flickers on/off based on query shape.
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On second though this isn't very important since the UI doesn't show these counts
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the knowledge table already showed readable owner names, but the Owner dropdown in the filter panel was still displaying the raw owner ID. I updated the search aggregation response to keep the owner key for filtering while adding a label that can show owner_name / owner_email. The dropdown should now shows owner names with file counts


-safe guarded sentinel value * to not be taken as a literal
-listFilesFilterParam no longer reduces array to one string; replaced with repeated-param serialisation
-Fix: knowledge filter facet counts and option limits
Summary by CodeRabbit
New Features
Bug Fixes