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The 7 URN search tests sent {"urn": ...} in the search payload, but
ScoreSetsSearch has no `urn` field — Pydantic silently dropped it.
Tests passed coincidentally because each created only one score set,
making unfiltered results match the expected count.
Fix by using {"text": ...} (matching actual frontend behavior) and
adding a second decoy score set to each test so the filter is actually
exercised.
The count query in `search_score_sets` was discarding the return value of `build_search_score_sets_query_filter`, so the count would reflect all score sets in the database rather than only those matching the search filters.
Switch one-to-many experiment relationship loading (keyword_objs, doi_identifiers, publication_identifier_associations, raw_read_identifiers) from joinedload to selectinload inside the contains_eager block. This prevents row multiplication from causing the SQL LIMIT to apply to multiplied rows rather than unique score sets, which resulted in search returning fewer results than expected on databases with rich experiment metadata.
…esults-returns-fewer-than-expected-results fix: Search results returns fewer than expected results
Add DB_POOL_SIZE and DB_MAX_OVERFLOW environment variables to control SQLAlchemy connection pool settings per environment. Enable pool_pre_ping to discard stale connections on checkout. Defaults remain at 5/10 for local development.
…-sizes feat: configure database connection pool via environment variables
…ed-search-by-urn-behavior fix: correct false-positive URN search tests
GET request for multiple score sets
Recently published score sets
…e-score-sets-in-get-endpoint fix: duplicate score sets appearing in GET results
…alibration-me-endpoint feat: add endpoint for user created calibrations
… for all relationships
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