initial commit ai-search task - #71
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📝 WalkthroughWalkthroughThe change adds configurable exact and fuzzy search-filter resolution. It builds Qdrant filters, cleans query text, and integrates both into media vector search. The query handler accepts and submits an optional Qdrant filter. ChangesSearch filter resolution and vector search
Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: 🟠 High · up to The PR can return incorrect or insufficiently filtered search results because configured filters may be omitted, pagination may lose query constraints, and combined search parameters may be discarded. These are high-impact correctness issues that should be fixed before merging. Sequence Diagram(s)sequenceDiagram
participant MediaSearchV2View
participant search_filter_resolver
participant query_database_with_metadata
participant Qdrant
MediaSearchV2View->>search_filter_resolver: resolve query filters
search_filter_resolver-->>MediaSearchV2View: return cleaned text and Qdrant filter
MediaSearchV2View->>query_database_with_metadata: send query and filters
query_database_with_metadata->>Qdrant: POST vector search payload
Qdrant-->>query_database_with_metadata: return search response
Suggested reviewers: 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (3 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 1.85% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 54 functions across 4 files. (2 skipped: 2 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 3
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Inline comments:
In `@chatbot/utils/chat_query_handler.py`:
- Around line 147-151: The qdrant_filter branch in query_database_with_metadata
sends the request before the remaining query constraints are added, dropping
fields such as query, categories, organizations, resource_type, and file_type.
Remove the early request path, add qdrant_filter to data, and let the common
request flow build and post the complete payload.
In `@chatbot/utils/search_filter_resolver.py`:
- Around line 250-255: Extend the category-resolution loop around the
organization and file_type matchers to include all configured theme and
resource-type categories before returning ResolvedFilters. Use each category’s
existing exact matcher, store matches in the corresponding results entries, and
strip matched text from remaining consistently so build_qdrant_filter receives
the tag and metadata.DOCUMENT_TYPE values.
In `@chatbot/views/Media/media_api_views.py`:
- Line 897: In the pagination flow around resolved_filters.search_text, preserve
the original request query for _build_pagination_urls instead of replacing it
with residual text. Continue applying resolved filters to the current page, and
re-run filter resolution from the original query on each subsequent page request
so exclusions such as “not PDF” remain intact.
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Fix all unresolved CodeRabbit comments on this PR:
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ℹ️ Review info
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📒 Files selected for processing (6)
chatbot/utils/chat_query_handler.pychatbot/utils/search_filter_resolver.pychatbot/views/Media/media_api_views.pyrequirement.txtrequirements.insample.env
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| def file_type_vocabulary(): | ||
| """``{mime: [label, ext, .ext]}`` from the static FileTypeChoices enum.""" | ||
| vector_type_aliases = { | ||
| FileTypeChoices.CSV.value: ["project_task"], |
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@Prajwal17Tunerlabs why we added aliases here ?
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