Improve local inference test

[hh-space-invader]

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📝 Walkthrough

Walkthrough

The changes in this update focus on modifying and expanding the test suite in tests/embed_tests/test_local_inference.py. Several assertions that previously checked the count of points in collections after upload operations were removed from existing tests, such as test_upload, test_upload_mixed_batches_upload_points, test_upload_mixed_batches_upload_collection, and test_upsert_batch_with_different_options. No alternative checks were introduced in their place. Additionally, two new tests were added. The first, test_query_points_list_prefetch, examines the conversion of queries and prefetch queries to sparse vector embeddings and verifies their types and uniqueness relative to stored vectors. The second new test, test_upsert_mixed_dense_models, evaluates the upsertion and retrieval of points with vectors from multiple dense models of differing dimensions within a single collection, ensuring the vectors' dimensions and retrieval correctness. No changes were made to function signatures or the public API.

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📥 Commits

Reviewing files that changed from the base of the PR and between 6544484 and 158ccf5.

📒 Files selected for processing (1)

• tests/embed_tests/test_local_inference.py (2 hunks)

🧰 Additional context used

🧬 Code Graph Analysis (1)

tests/embed_tests/test_local_inference.py (4)

qdrant_client/qdrant_client.py (6)

• QdrantClient (28-3163)
• query_points (439-608)
• retrieve (1746-1802)
• delete_collection (2291-2309)
• upsert (1561-1638)
• create_collection (2311-2399)

qdrant_client/local/local_collection.py (3)

• query_points (701-753)
• retrieve (1197-1221)
• upsert (2292-2328)

qdrant_client/qdrant_remote.py (5)

• query_points (543-682)
• retrieve (2013-2083)
• delete_collection (2688-2701)
• upsert (1840-1918)
• create_collection (2703-2822)

qdrant_client/http/models/models.py (7)

• Document (674-685)
• PointStruct (1720-1723)
• Prefetch (1750-1774)
• NearestQuery (1471-1472)
• SparseVector (2687-2693)
• VectorParams (3053-3078)
• Distance (650-661)

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• GitHub Check: Python 3.11.x on ubuntu-latest test
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🔇 Additional comments (5)

tests/embed_tests/test_local_inference.py (5)

678-731: Well-structured test for querying with a list of prefetch queries.

This new test validates that Qdrant can correctly handle a list of prefetch queries when using sparse vector embeddings. The test ensures that both the main query and each prefetch query are properly converted to sparse vectors, and that query embeddings differ from the stored point vectors (with verification using np.allclose).

Good job on testing an important scenario where multiple prefetch queries are passed as a list instead of a single prefetch or nested prefetch structure.

---

1592-1641: Excellent test for multiple dense models with different dimensions.

This new test properly validates that the client can upsert and retrieve points with vectors from multiple dense models of different dimensions within a single collection. The test correctly:

1. Creates a collection with two vector configurations of different dimensions
2. Tests points with vectors for only model_a, only model_b, or both models
3. Verifies that vectors are embedded with the correct dimensions
4. Ensures successful retrieval of the mixed-model points

This is a valuable test as it ensures compatibility with heterogeneous model dimensions in a single collection, which is an important use case for production vector databases.

---

240-344: Removed count assertions in test_upload appear intentional.

The removal of count assertions after upload operations seems to be a deliberate simplification. Since the tests still verify that documents are properly embedded through retrieval and vector type checking, the count assertions were likely redundant. The remaining tests still effectively validate the core functionality - that documents are properly embedded and can be retrieved with vector representations.

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1166-1273: Assertions cleanup in test_upload_mixed_batches_upload_points.

Similar to other test functions, count assertions have been removed here while preserving the essential verification that vectors are properly normalized and stored. This makes the test more focused on the critical functionality - correct handling of mixed batches during uploads.

---

1275-1376: Simplified test_upload_mixed_batches_upload_collection.

The test still effectively validates that mixed batches are correctly handled during collection uploads by verifying vector normalization and successful retrieval. The streamlining of assertions makes the test more maintainable.

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