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* Remove deprecated search/recommend/discover endpoints from OpenAPI Remove deprecated REST API endpoint definitions from the OpenAPI generator. These endpoints were deprecated in v1.13.3 (`f4ced2567`, #5907, 2025-01-30) in favor of the universal `/points/query` endpoint: - POST /points/search - POST /points/search/batch - POST /points/search/groups - POST /points/recommend - POST /points/recommend/batch - POST /points/recommend/groups - POST /points/discover - POST /points/discover/batch Also removes the corresponding request types from the schema generator and updates the expected API count in the consistency check. Co-authored-by: Cursor <cursoragent@cursor.com> * Migrate OpenAPI integration tests to /points/query The deprecated /points/search, /points/recommend and /points/discover endpoints (along with their /batch and /groups variants) were removed from the OpenAPI spec, which caused validation failures in the Python integration test harness. This commit migrates the affected tests to the universal /points/query endpoint: - Delete tests dedicated to the deprecated endpoints: test_recommend.py, test_discover.py, test_multicollection_reco.py, test_recommendation_multivector.py - Refactor remaining tests to call /points/query (and /query/batch, /query/groups), translating request bodies (vector -> query / using, positive/negative -> query.recommend, target/context -> query.discover) and unwrapping the new result.points response shape. - Drop equivalence assertions against the now-removed legacy endpoints. Co-authored-by: Cursor <cursoragent@cursor.com> * Relax non-empty assertions in migrated recommend/discover tests The previous migration added `len(...) > 0` assertions to tests that previously only checked equivalence between the deprecated and new API. These assertions are too strict because the parametrized `query_filter` cases legitimately produce empty result sets. Drop the `> 0` assertion and rely on `request_with_validation` to verify the response is well-formed and HTTP OK. Co-authored-by: Cursor <cursoragent@cursor.com> * Migrate remaining OpenAPI tests off deprecated search endpoints Tests added to dev after the original migration was written still call /points/search and /points/recommend/groups through `request_with_validation`, which resolves the endpoint against the OpenAPI spec and therefore breaks once the endpoint is not in the spec: - test_turbo4_storage.py, test_sparse_idf_corpus.py, test_validation.py: translate /points/search to /points/query (vector{name,vector} -> query + using, result -> result.points). - test_group.py: drop the /points/recommend/groups half of the lookup_from validation test in favour of the query equivalent. test_sparse_idf_corpus.py's test_query_api_supports_idf_corpus goes away: with the helper on /points/query every test in the file now exercises what it asserted. Also record why test_recommend_group cannot assert on its groups: it uses every point in the collection as a recommend example, so all of them are excluded and the result is legitimately empty. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * Regenerate openapi.json without the deprecated search endpoints Drops the 8 deprecated paths and the request schemas that only they referenced: Search/Recommend/Discover request (+Batch, +Groups) types and their exclusive dependencies (NamedVector, NamedSparseVector, NamedVectorStruct, UsingVector, RecommendExample, ContextExamplePair). Regenerated output is a strict subset of the previous spec, and every remaining $ref still resolves. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * Deprecate the search/recommend/discover RPCs in gRPC The REST counterparts have carried `deprecated: true` since v1.13.3 and are now gone from the OpenAPI spec, while the gRPC RPCs never got any deprecation annotation at all. Mark all 8 with `option deprecated = true` so generated clients warn, and point each doc comment at its `Query` replacement. tonic puts `#[deprecated]` on the generated client methods only; the server trait gets the doc comment alone, so our own `impl` is unaffected. The RPCs keep serving traffic — this is annotation only. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * Restore the deleted recommend/discover suites on /points/query The earlier migration deleted these four files outright, but the query-side tests it left behind are all shallow smoke tests (`len(result) > 0`, `"points" in result[0]`). The deleted ones carried invariants with no query-API equivalent anywhere, so deleting them was a real loss of coverage rather than de-duplication: - test_recommend.py: default strategy equals average_vector; batch results identical to sequential singles across six request shapes; best_score with only negatives yields all-negative scores; best_score with a single positive orders identically to a nearest query; raw vectors as examples equal ids as examples. - test_discover.py: context-only scores are all <= 0; target-only orders identically to a nearest query but scores differently; with a fixed context the integer part of the score is stable while the decimal part moves, and vice versa with a fixed target; batch equals singles; lookup_from by id equals by vector. - test_multicollection_reco.py: cross-collection lookup_from, plus wrong-vector-size, unknown-collection and unknown-vector rejections. - test_recommendation_multivector.py: the same recommend invariants over a max_sim multivector collection, which the query suite never covered. Only test_recommend_missing_lookup_from_collection_with_raw_vector is dropped as genuinely redundant — test_query.py's test_query_missing_lookup_from_collection covers query, query/batch and prefetch. Two request-shape differences the translation had to absorb: - Giving no examples at all is 422 (a RecommendInput validation rule), where the legacy API reported 400 from the query itself. A malformed example, such as an empty vector, is still 400. - DiscoverInput requires the `context` key and accepts only an explicit null to mean "no context", so target-only discover must spell it out. The legacy API let it be omitted. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
554 lines
17 KiB
Python
554 lines
17 KiB
Python
import pytest
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import jsons
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from pytest_cases import parametrize, fixture_ref
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from .helpers.collection_setup import basic_collection_setup, drop_collection
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from .helpers.helpers import request_with_validation
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@pytest.fixture(scope='module', autouse=True)
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def lookup_collection_name(collection_name) -> str:
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return f"{collection_name}_lookup"
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@pytest.fixture(scope='module', autouse=True)
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def set_serializer(lookup_collection_name):
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def custom_serializer(obj: fixture_ref, **kwargs) -> str:
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return lookup_collection_name
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jsons.set_serializer(custom_serializer, fixture_ref)
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def upsert_chunked_docs(collection_name, docs=50, chunks=5):
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points = []
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for doc in range(docs):
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for chunk in range(chunks):
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doc_id = doc
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i = doc * chunks + chunk
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p = {"id": i, "vector": [1.0, 0.0, 0.0, 0.0], "payload": {"docId": doc_id}}
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points.append(p)
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response = request_with_validation(
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api="/collections/{collection_name}/points",
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method="PUT",
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path_params={"collection_name": collection_name},
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query_params={"wait": "true"},
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body={"points": points},
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)
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assert response.ok
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def upsert_points_with_array_fields(collection_name, docs=3, chunks=5, id_offset=5000):
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points = []
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for doc in range(docs):
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for chunk in range(chunks):
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doc_ids = [f"valid_{doc}", f"valid_too_{doc}"]
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i = doc * chunks + chunk + id_offset
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p = {
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"id": i,
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"vector": [0.0, 1.0, 0.0, 0.0],
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"payload": {"multiId": doc_ids},
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}
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points.append(p)
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response = request_with_validation(
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api="/collections/{collection_name}/points",
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method="PUT",
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path_params={"collection_name": collection_name},
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query_params={"wait": "true"},
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body={"points": points},
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)
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assert response.ok
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def upsert_with_heterogenous_fields(collection_name):
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points = [
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{"id": 6000, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": "string"}}, # ok -> string
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{"id": 6001, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": 123}}, # ok -> 123
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{"id": 6002, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": [1, 2, 3]}}, # ok -> 1
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{"id": 6003, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": ["a", "b", "c"]}}, # ok -> "a"
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{"id": 6004, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": 2.42}}, # ok -> "2.42"
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{"id": 6005, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": [["a", "b", "c"]]}}, # invalid
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{"id": 6006, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": {"object": "string"}}}, # invalid
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{"id": 6007, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": []}}, # invalid
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{"id": 6008, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"heterogenousId": None}}, # invalid
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]
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response = request_with_validation(
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api="/collections/{collection_name}/points",
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method="PUT",
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path_params={"collection_name": collection_name},
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query_params={"wait": "true"},
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body={"points": points},
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)
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assert response.ok
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def upsert_multi_value_payload(collection_name):
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points = [
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{"id": 9000 + i, "vector": [0.0, 0.0, 1.0, 1.0], "payload": {"mkey": ["a"]}}
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for i in range(100)
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] + [
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{"id": 9100 + i, "vector": [0.0, 0.0, 1.0, 0.0], "payload": {"mkey": ["a", "b"]}}
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for i in range(10)
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]
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response = request_with_validation(
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api="/collections/{collection_name}/points",
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method="PUT",
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path_params={"collection_name": collection_name},
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query_params={"wait": "true"},
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body={"points": points},
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)
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assert response.ok
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def upsert_doc_points(collection_name, docs=50):
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points = [
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{"id": i, "vector": [1.0, 0.0, 0.0, 0.0], "payload": {"body": f"doc body {i}"}}
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for i in range(100)
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]
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response = request_with_validation(
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api="/collections/{collection_name}/points",
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method="PUT",
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path_params={"collection_name": collection_name},
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query_params={"wait": "true"},
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body={"points": points},
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)
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assert response.ok
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@pytest.fixture(autouse=True, scope="module")
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def setup(on_disk_vectors, collection_name, lookup_collection_name):
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basic_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
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upsert_chunked_docs(collection_name=collection_name)
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upsert_points_with_array_fields(collection_name=collection_name)
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upsert_with_heterogenous_fields(collection_name=collection_name)
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upsert_multi_value_payload(collection_name=collection_name)
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basic_collection_setup(collection_name=lookup_collection_name, on_disk_vectors=on_disk_vectors)
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upsert_doc_points(collection_name=lookup_collection_name)
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yield
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drop_collection(collection_name=collection_name)
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drop_collection(collection_name=lookup_collection_name)
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def test_search_with_multiple_groups(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [0.0, 0.0, 1.0, 1.0],
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"limit": 2,
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"with_payload": True,
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"group_by": "mkey",
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"group_size": 2,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 2
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assert groups[0]["id"] == "a"
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assert groups[1]["id"] == "b"
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def test_search(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [1.0, 0.0, 0.0, 0.0],
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"limit": 10,
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"with_payload": True,
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"group_by": "docId",
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 10
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for g in groups:
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assert len(g["hits"]) == 3
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for h in g["hits"]:
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assert h["payload"]["docId"] == g["id"]
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def test_recommend(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": {
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"recommend": {
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"positive": [5, 10, 15],
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"negative": [6, 11, 16],
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}
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},
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"limit": 10,
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"with_payload": True,
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"group_by": "docId",
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 10
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for g in groups:
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assert len(g["hits"]) == 3
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for h in g["hits"]:
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assert h["payload"]["docId"] == g["id"]
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def test_with_vectors(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [1.0, 0.0, 0.0, 0.0],
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"limit": 5,
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"with_payload": True,
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"with_vector": True,
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"group_by": "docId",
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 5
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for g in groups:
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assert len(g["hits"]) == 3
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for h in g["hits"]:
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assert h["payload"]["docId"] == g["id"]
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assert h["vector"] == [1.0, 0.0, 0.0, 0.0]
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def test_inexistent_group_by(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [1.0, 0.0, 0.0, 0.0],
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"limit": 10,
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"with_payload": True,
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"with_vector": True,
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"group_by": "inexistentDocId",
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 0
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def search_array_group_by(collection_name: str, group_by: str):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [0.0, 1.0, 0.0, 0.0],
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"limit": 6,
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"with_payload": True,
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"group_by": group_by,
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 6
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group_ids = [g["id"] for g in groups]
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for i in range(3):
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assert f"valid_{i}" in group_ids
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assert f"valid_too_{i}" in group_ids
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def test_multi_value_group_by(collection_name):
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search_array_group_by(collection_name, "multiId")
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search_array_group_by(collection_name, "multiId[]")
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def test_groups_by_heterogenous_fields(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [0.0, 0.0, 1.0, 0.0],
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"limit": 10,
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"with_payload": True,
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"group_by": "heterogenousId",
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"group_size": 3,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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group_ids = [g["id"] for g in groups]
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# Expected group ids are: ['c', 3, 1, 123, 2, 'string', 'b', 'a']
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assert len(groups) == 8
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assert "c" in group_ids
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assert 3 in group_ids
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assert 1 in group_ids
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assert 123 in group_ids
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assert 2 in group_ids
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assert "string" in group_ids
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assert "b" in group_ids
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assert "a" in group_ids
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lookup_params = [
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pytest.param(fixture_ref(lookup_collection_name), id="string name"),
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pytest.param({"collection": fixture_ref(lookup_collection_name)}, id="only collection name"),
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pytest.param(
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{
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"collection": fixture_ref(lookup_collection_name),
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"with_payload": True,
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"with_vectors": False,
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},
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id="explicit with_payload and with_vectors",
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)
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]
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def assert_group_with_default_lookup(group, group_size=3):
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assert group["hits"]
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assert len(group["hits"]) == group_size
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assert group["lookup"]
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assert group["id"] == group["lookup"]["id"]
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lookup = group["lookup"]
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assert lookup["payload"]
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assert not lookup.get("vector")
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@parametrize("with_lookup", lookup_params, auto_refs=True)
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def test_search_groups_with_lookup(collection_name, with_lookup):
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with_lookup = jsons.load(jsons.dump(with_lookup))
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": [1.0, 0.0, 0.0, 0.0],
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"limit": 10,
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"with_payload": True,
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"group_by": "docId",
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"group_size": 3,
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"with_lookup": with_lookup,
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 10
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for group in groups:
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assert_group_with_default_lookup(group, 3)
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@parametrize("with_lookup", lookup_params)
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def test_recommend_groups_with_lookup(request, collection_name, with_lookup):
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#with_lookup["collection"] = str(request.getfixturevalue('lookup_collection_name'))
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response = request_with_validation(
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api="/collections/{collection_name}/points/query/groups",
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method="POST",
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path_params={"collection_name": collection_name},
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body={
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"query": {
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"recommend": {
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"positive": [5, 10, 15],
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"negative": [6, 11, 16],
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}
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},
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"limit": 10,
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"with_payload": True,
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"group_by": "docId",
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"group_size": 3,
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"with_lookup": jsons.dump(with_lookup),
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},
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)
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assert response.ok
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groups = response.json()["result"]["groups"]
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assert len(groups) == 10
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for group in groups:
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assert_group_with_default_lookup(group, 3)
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@parametrize(
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"with_lookup",
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[
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pytest.param(
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{
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"collection": fixture_ref(lookup_collection_name),
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"with_payload": False,
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"with_vectors": False,
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},
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id="with_payload and with_vectors",
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),
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pytest.param(
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{
|
|
"collection": fixture_ref(lookup_collection_name),
|
|
"with_payload": False,
|
|
"with_vector": False,
|
|
},
|
|
id="with_vector is alias of with_vectors",
|
|
),
|
|
]
|
|
)
|
|
def test_search_groups_with_lookup_without_payload_nor_vectors(collection_name, with_lookup):
|
|
with_lookup = jsons.load(jsons.dump(with_lookup))
|
|
response = request_with_validation(
|
|
api="/collections/{collection_name}/points/query/groups",
|
|
method="POST",
|
|
path_params={"collection_name": collection_name},
|
|
body={
|
|
"query": [1.0, 0.0, 0.0, 0.0],
|
|
"limit": 10,
|
|
"with_payload": True,
|
|
"group_by": "docId",
|
|
"group_size": 3,
|
|
"with_lookup": with_lookup,
|
|
},
|
|
)
|
|
|
|
assert response.ok
|
|
|
|
groups = response.json()["result"]["groups"]
|
|
|
|
assert len(groups) == 10
|
|
for group in groups:
|
|
assert group["hits"]
|
|
assert len(group["hits"]) == 3
|
|
|
|
assert group["lookup"]
|
|
assert group["id"] == group["lookup"]["id"]
|
|
|
|
lookup = group["lookup"]
|
|
assert not lookup.get("payload")
|
|
assert not lookup.get("vector")
|
|
|
|
|
|
def test_search_groups_lookup_with_non_existing_collection(collection_name):
|
|
non_existing_collection = "non_existing_collection"
|
|
response = request_with_validation(
|
|
api="/collections/{collection_name}/points/query/groups",
|
|
method="POST",
|
|
path_params={"collection_name": collection_name},
|
|
body={
|
|
"query": [1.0, 0.0, 0.0, 0.0],
|
|
"limit": 10,
|
|
"with_payload": True,
|
|
"group_by": "docId",
|
|
"group_size": 3,
|
|
"with_lookup": {
|
|
"collection": non_existing_collection,
|
|
"with_payload": True,
|
|
"with_vector": True,
|
|
},
|
|
},
|
|
)
|
|
|
|
assert response.status_code == 404
|
|
|
|
assert (
|
|
f"Collection {non_existing_collection} not found"
|
|
in response.json()["status"]["error"]
|
|
)
|
|
|
|
def test_search_groups_with_full_lookup(collection_name, lookup_collection_name):
|
|
response = request_with_validation(
|
|
api="/collections/{collection_name}/points/query/groups",
|
|
method="POST",
|
|
path_params={"collection_name": collection_name},
|
|
body={
|
|
"query": [1.0, 0.0, 0.0, 0.0],
|
|
"limit": 10,
|
|
"with_payload": True,
|
|
"group_by": "docId",
|
|
"group_size": 3,
|
|
"with_lookup": {
|
|
"collection": lookup_collection_name,
|
|
"with_payload": True,
|
|
"with_vector": True,
|
|
},
|
|
},
|
|
)
|
|
|
|
assert response.ok
|
|
|
|
groups = response.json()["result"]["groups"]
|
|
|
|
assert len(groups) == 10
|
|
for group in groups:
|
|
assert group["hits"]
|
|
assert len(group["hits"]) == 3
|
|
|
|
assert group["lookup"]
|
|
assert group["id"] == group["lookup"]["id"]
|
|
|
|
lookup = group["lookup"]
|
|
assert lookup["payload"]
|
|
assert lookup["vector"]
|
|
|
|
def test_query_groups_missing_lookup_from_collection(collection_name):
|
|
missing_collection = "missing_lookup_from_collection"
|
|
lookup_from = {"collection": missing_collection, "vector": "default"}
|
|
|
|
response = request_with_validation(
|
|
api="/collections/{collection_name}/points/query/groups",
|
|
method="POST",
|
|
path_params={"collection_name": collection_name},
|
|
body={
|
|
"query": [1.0, 0.0, 0.0, 0.0],
|
|
"limit": 10,
|
|
"group_by": "docId",
|
|
"group_size": 3,
|
|
"lookup_from": lookup_from,
|
|
},
|
|
)
|
|
assert response.status_code == 404, response.text
|
|
assert missing_collection in response.json()["status"]["error"]
|
|
|
|
response = request_with_validation(
|
|
api="/collections/{collection_name}/points/query/groups",
|
|
method="POST",
|
|
path_params={"collection_name": collection_name},
|
|
body={
|
|
"query": {"recommend": {"positive": [[1.0, 0.0, 0.0, 0.0]]}},
|
|
"limit": 10,
|
|
"group_by": "docId",
|
|
"group_size": 3,
|
|
"lookup_from": lookup_from,
|
|
},
|
|
)
|
|
assert response.status_code == 404, response.text
|
|
assert missing_collection in response.json()["status"]["error"]
|