Research federation issue fix and document findings #6
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Added detailed research document analyzing issue #5 (duplicate search results). Key findings: - Root cause: per-feed deduplication allows same recipe from different sources - Current UNIQUE(feed_id, external_id) constraint insufficient - No content-based or cross-source deduplication exists Proposed solutions: - Phase 1 (quick): fuzzy title-based post-search deduplication - Phase 2 (medium): content hash system for accurate matching - Phase 3 (long-term): canonical recipe system with source tracking Document includes: - Detailed architecture analysis - Code references with line numbers - Multiple implementation approaches with pros/cons - Phased implementation plan - Sample code for each approach - Testing strategies and monitoring recommendations Ready for implementation discussion and prioritization.
Updated research document with critical finding: the same recipe ID appears multiple times in search results due to a bug in the indexing logic. Root cause: - When recipes are updated, Tantivy index_recipe() adds new document - Old document with same recipe_id is NEVER deleted first - Result: N updates = N duplicate documents with same ID Evidence from user report: - /recipes/2473 appears multiple times - /recipes/2457 appears multiple times - HTML inspection confirms same IDs, not just similar content The fix (2 lines): - In src/indexer/search.rs:89, add delete_term() before add_document() - This ensures only one document per recipe_id exists - Estimated effort: 30 minutes + reindex time Updated implementation plan: - Phase 0 (URGENT): Fix indexing bug - Phase 1 (Optional): Post-search deduplication for content - Phase 2-3: Content hash system and canonical recipes This bug fix should resolve the immediate user-reported issue. The content-based deduplication remains a separate enhancement.
Detailed plan covering two phases: Phase 0 (Critical): - Delete-before-add logic to fix same recipe_id duplicates - Simple 2-line fix in search indexer - Estimated: 1-2 hours Phase 2 (Content Hash): - SHA-256 based content hashing - Database migration for content_hash column - Deduplication at search query time - Backfill script for existing recipes - Estimated: 12-15 hours Includes code examples, testing strategies, deployment steps, monitoring metrics, and rollback procedures.
This commit adds comprehensive failing tests for both Phase 0 and Phase 2 of the deduplication implementation plan: Phase 0 - Delete-Before-Add Logic: - Added test_index_recipe_deletes_before_adding in src/indexer/search.rs - Tests that updating a recipe removes old entry before adding new one - Currently FAILS: old title remains in index (proves bug exists) Phase 2 - Content Hash Deduplication: - Added content hash calculation functions to src/db/recipes.rs: * calculate_content_hash() - SHA-256 hash of normalized title+content * normalize_title() - lowercase, trim, collapse whitespace * normalize_cooklang_content() - remove comments, normalize formatting * find_recipe_by_content_hash() - query by hash * find_duplicate_recipes() - get all recipes with same hash - Added 7 unit tests for content hash normalization: * test_normalize_title * test_same_content_produces_same_hash * test_whitespace_differences_produce_same_hash * test_comments_dont_affect_hash * test_different_content_produces_different_hash * test_title_case_differences_produce_same_hash * test_block_comments_dont_affect_hash (FAILS - reveals bug) - Added 3 integration tests in tests/deduplication_test.rs: * test_duplicate_detection_by_hash * test_different_recipes_have_different_hashes * test_find_recipe_by_content_hash * All FAIL with "no such column: content_hash" (expected - migration needed) Dependencies: - Added sha2 = "0.10" to Cargo.toml for hash calculation These tests follow TDD principles - they are written before implementation to guide development and ensure correctness. They will pass once the features described in plan.md are implemented.
This commit implements both Phase 0 and Phase 2 of the deduplication plan to eliminate duplicate recipes in search results. Phase 0 (Critical - Delete-Before-Add Logic): - Modified index_recipe() in src/indexer/search.rs to delete existing documents before adding new ones - Added delete_term() call before add_document() to prevent duplicate entries for the same recipe_id - Fixed search index schema to make ID field INDEXED (not just FAST) to enable proper deletion via delete_term() - Added comprehensive unit test to verify delete-before-add behavior Phase 2 (Content Hash Deduplication): - Created database migration 006_add_content_hash.sql to add content_hash column with index - Added content_hash field to Recipe and NewRecipe models - Updated create_recipe() to store content_hash in database - Implemented hash calculation functions: * calculate_content_hash() - SHA-256 hash of normalized title+content * normalize_title() - lowercase, trim, collapse whitespace * normalize_cooklang_content() - remove comments, normalize formatting * find_recipe_by_content_hash() - query by hash * find_duplicate_recipes() - get all recipes with same hash - Updated GitHub indexer to calculate and set content_hash - Added comprehensive unit tests for hash normalization - Added integration tests for duplicate detection All Tests Passing: - 55 library tests pass - 3 integration tests pass - Delete-before-add test verifies no duplicate documents - Hash normalization tests verify correct behavior - Duplicate detection tests verify database queries work Next Steps: - Apply migration to production database - Update RSS crawler to calculate content_hash (TODO) - Implement search-time deduplication using content_hash (future enhancement) - Add backfill script for existing recipes (future enhancement) Resolves duplicate search results issue by ensuring each recipe appears only once in the search index, even after updates.
- Add missing content_hash field to NewRecipe in parser integration test - Refactor loop to while let to satisfy clippy::while_let_loop lint - Apply rustfmt formatting fixes across codebase
Pull Request Review: Deduplication ImplementationReviewed all 15 changed files addressing duplicate search results (Issue #5). SummaryStrong Points:
Critical Issues:
Key Findings1. Delete-Before-Add Fix ✅ (src/indexer/search.rs:91-97)Correctly prevents same recipe_id appearing multiple times. Production-ready. 2. Content Normalization
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Added detailed research document analyzing issue #5 (duplicate search results).
Key findings:
Proposed solutions:
Document includes:
Ready for implementation discussion and prioritization.