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8a7325ad5d
* 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>
666 lines
20 KiB
Python
666 lines
20 KiB
Python
import pytest
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from .helpers.collection_setup import drop_collection, multivec_collection_setup
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from .helpers.helpers import request_with_validation
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@pytest.fixture(autouse=True)
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def setup(on_disk_vectors, on_disk_payload, collection_name):
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multivec_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors, on_disk_payload=on_disk_payload, distance='Dot')
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yield
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drop_collection(collection_name=collection_name)
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def compare_vectors(v1, v2):
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if len(v1) != len(v2):
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return False
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for i in range(len(v1)):
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if abs(v1[i] - v2[i]) > 1e-5:
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return False
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return True
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def test_delete_and_search(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors/delete',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'wait': 'true'},
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body={
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"points": [2, 3],
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"vector": ["text"]
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}
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)
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assert response.ok
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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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body={
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"query": [0.0, 0.0, 1.0, 1.0],
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"using": "image",
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"limit": 10,
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"with_payload": True,
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"with_vector": ["text"],
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}
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)
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assert response.ok
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def test_retrieve_deleted_vector(collection_name):
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# Delete vector
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors/delete',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'wait': 'true'},
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body={
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"points": [1, 3],
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"vector": ["text"]
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}
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)
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assert response.ok
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# Retrieve deleted vector
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response = request_with_validation(
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api='/collections/{collection_name}/points',
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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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"ids": [1, 2, 3, 4],
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"with_vectors": ["text", "image"],
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"with_payload": True,
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}
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)
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assert response.ok
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result = response.json()["result"]
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assert len(result) == 4
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id_to_result = {r["id"]: r for r in result}
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assert id_to_result[1]["vector"].get("image") is not None
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assert id_to_result[1]["vector"].get("text") is None
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assert id_to_result[2]["vector"].get("image") is not None
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assert id_to_result[2]["vector"].get("text") is not None
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assert id_to_result[3]["vector"].get("image") is not None
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assert id_to_result[3]["vector"].get("text") is None
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assert id_to_result[4]["vector"].get("image") is not None
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assert id_to_result[4]["vector"].get("text") is not None
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def test_upsert_partial_vectors(collection_name):
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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={
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"points": [
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{
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"id": 101,
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"vector": {
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"text": [0.05, 0.61, 0.76, 0.74, 0.05, 0.61, 0.76, 0.74],
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},
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"payload": {"city": "Berlin"}
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},
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{
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"id": 102,
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"vector": {
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"image": [0.19, 0.81, 0.75, 0.11],
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},
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"payload": {"city": ["Berlin", "London"]}
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},
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{
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"id": 103,
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"vector": {},
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"payload": {"city": ["Berlin", "Moscow"]}
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},
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 101},
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)
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assert response.ok
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result = response.json()["result"]
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assert result["id"] == 101
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assert "image" not in result["vector"]
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assert "text" in result["vector"]
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 102},
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)
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assert response.ok
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result = response.json()["result"]
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assert result["id"] == 102
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assert "image" in result["vector"]
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assert "text" not in result["vector"]
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 103},
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)
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assert response.ok
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result = response.json()["result"]
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assert result["id"] == 103
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assert "image" not in result["vector"]
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assert "text" not in result["vector"]
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def test_update_vectors(collection_name):
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POINT_ID = 1000
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# Put empty vector first
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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={
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"points": [
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{
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"id": POINT_ID,
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"vector": {},
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"payload": {"city": "Berlin"}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': POINT_ID},
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)
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assert response.ok
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result = response.json()["result"]
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assert result["vector"].get("text") is None
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text_vector = [
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0.34035879, 0.344099,
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0.3478392, 0.35157941,
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0.35531961, 0.35905982,
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0.36280003, 0.36654023
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]
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": POINT_ID,
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"vector": {
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"text": text_vector,
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}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': POINT_ID},
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)
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assert response.ok
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result = response.json()["result"]
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assert compare_vectors(result["vector"]["text"], text_vector)
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assert result["payload"]["city"] == "Berlin"
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text_vector = [
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0.07902951, 0.22391693,
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0.36880436, 0.51369179,
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0.59272129, 0.07902951,
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0.22391693, 0.36880436
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]
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image_vector = [0.19, 0.28, 0.37, 0.46]
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": POINT_ID,
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"vector": {
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"text": text_vector,
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"image": image_vector,
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}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': POINT_ID},
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)
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assert response.ok
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result = response.json()["result"]
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assert compare_vectors(result["vector"]["image"], image_vector)
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assert compare_vectors(result["vector"]["text"], text_vector)
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image_vector = [0.00, 0.01, 0.00, 0.01]
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": POINT_ID,
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"vector": {
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"image": image_vector,
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}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': POINT_ID},
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)
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assert response.ok
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result = response.json()["result"]
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assert compare_vectors(result["vector"]["image"], image_vector)
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assert compare_vectors(result["vector"]["text"], text_vector)
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def test_update_empty_vectors(collection_name):
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"""
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Remove all named vectors for a point. Then add named vectors and test
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against it.
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"""
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors/delete',
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method="POST",
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path_params={'collection_name': collection_name},
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query_params={'wait': 'true'},
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body={
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"points": [1],
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"vector": ["image", "text"]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 1},
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)
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assert response.ok
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result = response.json()["result"]
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assert "text" not in result["vector"]
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assert "image" not in result["vector"]
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text_vector = [
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0.34035879, 0.344099,
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0.3478392, 0.35157941,
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0.35531961, 0.35905982,
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0.36280003, 0.36654023
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]
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": 1,
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"vector": {
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"text": text_vector,
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}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 1},
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)
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assert response.ok
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result = response.json()["result"]
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assert compare_vectors(result["vector"]["text"], text_vector)
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assert "image" not in result["vector"]
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image_vector = [0.19, 0.28, 0.37, 0.46]
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": 1,
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"vector": {
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"image": image_vector,
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}
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 1},
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)
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assert response.ok
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result = response.json()["result"]
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assert compare_vectors(result["vector"]["image"], image_vector)
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assert compare_vectors(result["vector"]["text"], text_vector)
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def test_update_vectors_unknown_point(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/vectors',
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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={
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"points": [
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{
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"id": 1,
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"vector": {
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"text": [0.05, 0.61, 0.76, 0.74, 0.05, 0.61, 0.76, 0.74],
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},
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"payload": {"city": "Berlin"}
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},
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{
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"id": 424242424242424242,
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"vector": {
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"image": [0.19, 0.81, 0.75, 0.11],
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},
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"payload": {"city": ["Berlin", "London"]}
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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 == 404
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error = response.json()["status"]["error"]
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assert error == "Not found: No point with id 424242424242424242 found"
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def test_update_vectors_same_point_in_batch(collection_name):
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POINT_ID = 1000
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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={
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"points": [
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{
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"id": POINT_ID,
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"vector": {
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"text": [0.1, 0.3, 0.2, 0.9, 0.9, 0.1, 0.4, 0.9],
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"image": [0.8, 0.6, 0.3, 0.0],
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},
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}
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]
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}
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': POINT_ID},
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)
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assert response.ok
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result = response.json()["result"]
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assert result["vector"].get("text") == [0.1, 0.3, 0.2, 0.9, 0.9, 0.1, 0.4, 0.9]
|
|
assert result["vector"].get("image") == [0.8, 0.6, 0.3, 0.0]
|
|
|
|
# Update both vectors in separate batch items
|
|
# Matches bug report: <https://github.com/qdrant/qdrant/issues/3376>
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors',
|
|
method="PUT",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"text": [0.8, 0.8, 0.9, 0.2, 0.7, 0.5, 0.2, 0.6],
|
|
}
|
|
},
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"image": [0.3, 0.6, 0.4, 0.4],
|
|
}
|
|
}
|
|
]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/{id}',
|
|
method="GET",
|
|
path_params={'collection_name': collection_name, 'id': POINT_ID},
|
|
)
|
|
assert response.ok
|
|
result = response.json()["result"]
|
|
assert result["vector"].get("text") == [0.8, 0.8, 0.9, 0.2, 0.7, 0.5, 0.2, 0.6]
|
|
assert result["vector"].get("image") == [0.3, 0.6, 0.4, 0.4]
|
|
|
|
# Update the same vector twice
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors',
|
|
method="PUT",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"text": [0.2, 0.0, 0.1, 0.3, 0.1, 0.0, 0.0, 0.5],
|
|
}
|
|
},
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"image": [0.7, 0.5, 0.0, 0.5],
|
|
"text": [0.9, 0.2, 0.5, 0.6, 0.4, 0.1, 0.6, 0.7],
|
|
}
|
|
},
|
|
{
|
|
"id": 1,
|
|
"vector": {
|
|
"image": [0.4, 0.4, 0.0, 0.9],
|
|
"text": [0.8, 0.6, 0.9, 0.2, 0.3, 0.9, 0.5, 0.9],
|
|
}
|
|
},
|
|
{
|
|
"id": 2,
|
|
"vector": {
|
|
"text": [0.5, 0.8, 0.9, 0.8, 0.3, 0.2, 0.1, 0.1],
|
|
}
|
|
},
|
|
{
|
|
"id": 3,
|
|
"vector": {
|
|
"image": [0.1, 0.1, 0.3, 0.7],
|
|
}
|
|
},
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"image": [0.9, 0.9, 0.7, 0.5],
|
|
}
|
|
},
|
|
{
|
|
"id": POINT_ID,
|
|
"vector": {
|
|
"image": [0.4, 0.5, 0.6, 0.2],
|
|
}
|
|
},
|
|
]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/{id}',
|
|
method="GET",
|
|
path_params={'collection_name': collection_name, 'id': POINT_ID},
|
|
)
|
|
assert response.ok
|
|
result = response.json()["result"]
|
|
assert result["vector"].get("text") == [0.9, 0.2, 0.5, 0.6, 0.4, 0.1, 0.6, 0.7]
|
|
assert result["vector"].get("image") == [0.4, 0.5, 0.6, 0.2]
|
|
|
|
|
|
def test_no_vectors(collection_name):
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors',
|
|
method="PUT",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [
|
|
{
|
|
"id": 1,
|
|
"vector": {},
|
|
}
|
|
]
|
|
}
|
|
)
|
|
assert not response.ok
|
|
assert response.status_code == 422
|
|
error = response.json()["status"]["error"]
|
|
assert error.__contains__(
|
|
"Validation error in JSON body: [points[0].vector: must specify vectors to update for point]")
|
|
|
|
|
|
def test_delete_vectors(collection_name):
|
|
delete_vectors(collection_name)
|
|
# Deleting a second time should work fine
|
|
delete_vectors(collection_name)
|
|
|
|
|
|
def delete_vectors(collection_name):
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors/delete',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [1, 2],
|
|
"vector": ["image"]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors/delete',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [2, 3],
|
|
"vector": ["text"]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/{id}',
|
|
method="GET",
|
|
path_params={'collection_name': collection_name, 'id': 1},
|
|
)
|
|
assert response.ok
|
|
result = response.json()["result"]
|
|
assert "image" not in result["vector"]
|
|
assert "text" in result["vector"]
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/{id}',
|
|
method="GET",
|
|
path_params={'collection_name': collection_name, 'id': 2},
|
|
)
|
|
assert response.ok
|
|
result = response.json()["result"]
|
|
assert "image" not in result["vector"]
|
|
assert "text" not in result["vector"]
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/{id}',
|
|
method="GET",
|
|
path_params={'collection_name': collection_name, 'id': 3},
|
|
)
|
|
assert response.ok
|
|
result = response.json()["result"]
|
|
assert "image" in result["vector"]
|
|
assert "text" not in result["vector"]
|
|
|
|
|
|
def test_delete_all_vectors(collection_name):
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors/delete',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"filter": {},
|
|
"vector": ["image", "text"]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
|
|
def test_delete_unknown_vectors(collection_name):
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/vectors/delete',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
query_params={'wait': 'true'},
|
|
body={
|
|
"points": [1, 2],
|
|
"vector": ["a"]
|
|
}
|
|
)
|
|
|
|
assert not response.ok
|
|
assert response.status_code == 400
|
|
error = response.json()["status"]["error"]
|
|
assert error.__contains__("Wrong input: Not existing vector name error: a")
|