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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>
229 lines
7.4 KiB
Python
229 lines
7.4 KiB
Python
from random import random
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import subprocess
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import pytest
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from .helpers.helpers import request_with_validation
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from .helpers.collection_setup import drop_collection
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num_vectors = 200000
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dims = 1024
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@pytest.skip("Too big for CI, requires bfb installed", allow_module_level=True)
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@pytest.fixture(autouse=True, scope='module')
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def setup(collection_name):
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drop_collection(collection_name)
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response = request_with_validation(
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api='/collections/{collection_name}',
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method="PUT",
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path_params={'collection_name': collection_name},
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body={
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"vectors": {
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"size": dims,
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"distance": "Euclid",
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"on_disk": True,
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},
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"optimizers_config": {
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"indexing_threshold": 0,
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}
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}
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)
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assert response.ok
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subprocess.run(['bfb', '--collection-name', collection_name, '--skip-create', '--dim', str(dims), '--num-vectors', str(num_vectors), '--keywords', '300'])
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yield
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drop_collection(collection_name=collection_name)
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def test_search_timeout(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/query',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'timeout': 1},
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body={
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"query": [random() for _ in range(dims)],
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"limit": 100000,
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"filter": {
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"must": [
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{
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"key": "a",
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"match": {
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"text": "keyword_1"
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}
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}
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]
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},
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"params": { "exact": False }
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}
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)
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assert not response.ok
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assert response.status_code == 500
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
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def test_search_batch_timeout(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/query/batch',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'timeout': 1},
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body={
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"searches": [
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{
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"query": [0.5] * dims,
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"limit": 100000,
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"filter": {
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"must": [
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{
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"key": "a",
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"match": {
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"text": "keyword_1"
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}
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}
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]
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},
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},
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{
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"query": [0.6] * dims,
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"limit": 10000,
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},
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]
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}
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)
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assert not response.ok
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assert response.status_code == 500
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
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def test_search_groups_timeout(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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query_params={'timeout': 1},
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body={
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"query": [0.5] * dims,
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"limit": 100,
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"group_by": "a",
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"filter": {"must": [{"key": "a", "match": {"value": "keyword_1"}}]},
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"group_size": 3,
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}
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)
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assert not response.ok
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assert response.status_code == 408
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'GroupBy' timed out after 1 seconds")
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def test_recommend_timeout(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/query',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'timeout': 1},
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body={
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"query": {
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"recommend": {
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"positive": [111,222,333,444,555],
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"negative": [666,777,888,999,1010],
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"strategy": "best_score",
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}
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},
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"limit": 10000,
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}
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)
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assert not response.ok
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assert response.status_code == 500
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
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def test_recommend_batch_timeout(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/query/batch',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'timeout': 1},
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body={
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"searches": [
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{
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"query": {
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"recommend": {
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"positive": [111,222,333,444,555],
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"negative": [666,777,888,999,1010],
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"strategy": "best_score",
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}
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},
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"limit": 10000,
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},
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{
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"query": {
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"recommend": {
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"positive": [666,777,888,999,1010],
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"negative": [111,222,333,444,555],
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"strategy": "best_score",
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}
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},
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"limit": 10000,
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},
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]
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}
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)
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assert not response.ok
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assert response.status_code == 500
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
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def test_recommend_groups_timeout(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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query_params={'timeout': 1},
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body={
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"query": {
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"recommend": {
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"positive": [111,555],
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"negative": [666,1010],
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}
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},
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"limit": 100,
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"filter": {"must": [{"key": "a", "match": {"value": "keyword_1"}}]},
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"group_by": "a",
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"group_size": 3,
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}
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)
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assert not response.ok
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assert response.status_code == 408
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'GroupBy' timed out after 1 seconds")
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def test_discover_timeout(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/query',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'timeout': 1},
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body={
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"query": {
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"discover": {
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"target": 111,
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"context": [
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{"positive": 666, "negative": 777},
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{"positive": 888, "negative": 999},
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{"positive": 1010, "negative": 1111},
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],
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}
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},
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"limit": 100,
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}
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)
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assert not response.ok
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assert response.status_code == 500
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assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
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