related issue: #46616
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
- Core invariant: these tests assume the v2 group-by search
implementation (TestMilvusClientV2Base and pymilvus v2 APIs such as
AnnSearchRequest/WeightedRanker) is functionally correct; the PR extends
coverage to validate group-by semantics when using JSON fields and
dynamic fields (see
tests/python_client/milvus_client_v2/test_milvus_client_search_group_by.py
— TestGroupSearch.setup_class and parametrized group_by_field cases).
- Logic removed/simplified: legacy v1 test scaffolding and duplicated
parametrized fixtures/test permutations were consolidated into
v2-focused suites (TestGroupSearch now inherits TestMilvusClientV2Base;
old TestGroupSearch/TestcaseBase patterns and large blocks in
test_mix_scenes were removed) to avoid redundant fixture permutations
and duplicate assertions while reusing shared helpers in common_func
(e.g., gen_scalar_field, gen_row_data_by_schema) and common_type
constants.
- Why this does NOT introduce data loss or behavior regression: only
test code, test helpers, and test imports were changed — no
production/server code altered. Test helper changes are
backward-compatible (gen_scalar_field forces primary key nullable=False
and only affects test data generation paths in
tests/python_client/common/common_func.py; get_field_dtype_by_field_name
now accepts schema dicts/ORM schemas and is used only by tests to choose
vector generation) and collection creation/insertion in tests use the
same CollectionSchema/FieldSchema paths, so production
storage/serialization logic is untouched.
- New capability (test addition): adds v2 test coverage for group-by
search over JSON and dynamic fields plus related scenarios — pagination,
strict/non-strict group_size, min/max group constraints, multi-field
group-bys and binary vector cases — implemented in
tests/python_client/milvus_client_v2/test_milvus_client_search_group_by.py
to address issue #46616.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
related issue #40698
1. add diskann and hnsw index test
2. update gen_row_data and gen_column_data functions
---------
Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
related issue: #40698
1. use vector datat types instead of hard code datatpe names
2. update search pagination tests
3. remove checking distances in search results checking, for knowhere
customize the distances for different metrics and indexes. Now only
assert the distances are sorted correct.
---------
Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
related issue: #36963
1. add alias tests with rename collection for issue #36963
2. update some test levels
3. fix some xfail tests
---------
Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
related issue: #36407
1. add partial load tests
2. use new test class to share one collection for all grouping search
tests
Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
1. query with expr under different scalar index types
2. test framework supports preparing one piece of data and multiple
parameter queries
Signed-off-by: wangting0128 <ting.wang@zilliz.com>
