import pdb import pytest import logging import itertools from time import sleep from multiprocessing import Process from milvus import IndexType, MetricType from utils import * dim = 128 drop_collection_interval_time = 3 index_file_size = 10 vectors = gen_vectors(100, dim) class TestCollection: """ ****************************************************************** The following cases are used to test `create_collection` function ****************************************************************** """ def test_create_collection(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} status = connect.create_collection(param) assert status.OK() def test_create_collection_ip(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.IP} status = connect.create_collection(param) assert status.OK() def test_create_collection_jaccard(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.JACCARD} status = connect.create_collection(param) assert status.OK() def test_create_collection_hamming(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.HAMMING} status = connect.create_collection(param) assert status.OK() def test_create_collection_substructure(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUBSTRUCTURE} status = connect.create_collection(param) assert status.OK() def test_create_collection_superstructure(self, connect): ''' target: test create normal collection method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUPERSTRUCTURE} status = connect.create_collection(param) assert status.OK() # @pytest.mark.level(2) # def test_create_collection_without_connection(self, dis_connect): # ''' # target: test create collection, without connection # method: create collection with correct params, with a disconnected instance # expected: create raise exception # ''' # collection_name = gen_unique_str("test_collection") # param = {'collection_name': collection_name, # 'dimension': dim, # 'index_file_size': index_file_size, # 'metric_type': MetricType.L2} # with pytest.raises(Exception) as e: # status = dis_connect.create_collection(param) def test_create_collection_existed(self, connect): ''' target: test create collection but the collection name have already existed method: create collection with the same collection_name expected: create status return not ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} status = connect.create_collection(param) status = connect.create_collection(param) assert not status.OK() @pytest.mark.level(2) def test_create_collection_existed_ip(self, connect): ''' target: test create collection but the collection name have already existed method: create collection with the same collection_name expected: create status return not ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.IP} status = connect.create_collection(param) status = connect.create_collection(param) assert not status.OK() def test_create_collection_None(self, connect): ''' target: test create collection but the collection name is None method: create collection, param collection_name is None expected: create raise error ''' param = {'collection_name': None, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} with pytest.raises(Exception) as e: status = connect.create_collection(param) def test_create_collection_no_dimension(self, connect): ''' target: test create collection with no dimension params method: create collection with corrent params expected: create status return ok ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} with pytest.raises(Exception) as e: status = connect.create_collection(param) def test_create_collection_no_file_size(self, connect): ''' target: test create collection with no index_file_size params method: create collection with corrent params expected: create status return ok, use default 1024 ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'metric_type': MetricType.L2} status = connect.create_collection(param) logging.getLogger().info(status) status, result = connect.get_collection_info(collection_name) logging.getLogger().info(result) assert result.index_file_size == 1024 def test_create_collection_no_metric_type(self, connect): ''' target: test create collection with no metric_type params method: create collection with corrent params expected: create status return ok, use default L2 ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size} status = connect.create_collection(param) status, result = connect.get_collection_info(collection_name) logging.getLogger().info(result) assert result.metric_type == MetricType.L2 """ ****************************************************************** The following cases are used to test `get_collection_info` function ****************************************************************** """ def test_collection_describe_result(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.L2 @pytest.mark.level(2) def test_collection_get_collection_info_name_ip(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.IP} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.IP @pytest.mark.level(2) def test_collection_get_collection_info_name_jaccard(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.JACCARD} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.JACCARD @pytest.mark.level(2) def test_collection_get_collection_info_name_hamming(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.HAMMING} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.HAMMING def test_collection_get_collection_info_name_substructure(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUBSTRUCTURE} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.SUBSTRUCTURE def test_collection_get_collection_info_name_superstructure(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUPERSTRUCTURE} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.collection_name == collection_name assert res.metric_type == MetricType.SUPERSTRUCTURE # TODO: enable @pytest.mark.level(2) def _test_collection_get_collection_info_name_multiprocessing(self, connect, args): ''' target: test describe collection created with multiprocess method: create collection, assert the value returned by describe method expected: collection_name equals with the collection name created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) def describecollection(milvus): status, res = milvus.get_collection_info(collection_name) assert res.collection_name == collection_name process_num = 4 processes = [] for i in range(process_num): milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) p = Process(target=describecollection, args=(milvus,)) processes.append(p) p.start() for p in processes: p.join() # @pytest.mark.level(2) # def test_collection_describe_without_connection(self, collection, dis_connect): # ''' # target: test describe collection, without connection # method: describe collection with correct params, with a disconnected instance # expected: describe raise exception # ''' # with pytest.raises(Exception) as e: # status = dis_connect.get_collection_info(collection) def test_collection_describe_dimension(self, connect): ''' target: test describe collection created with correct params method: create collection, assert the dimention value returned by describe method expected: dimention equals with dimention when created ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim+1, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) status, res = connect.get_collection_info(collection_name) assert res.dimension == dim+1 """ ****************************************************************** The following cases are used to test `drop_collection` function ****************************************************************** """ def test_drop_collection(self, connect, collection): ''' target: test delete collection created with correct params method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' status = connect.drop_collection(collection) assert not assert_has_collection(connect, collection) @pytest.mark.level(2) def test_drop_collection_ip(self, connect, ip_collection): ''' target: test delete collection created with correct params method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' status = connect.drop_collection(ip_collection) assert not assert_has_collection(connect, ip_collection) @pytest.mark.level(2) def test_drop_collection_jaccard(self, connect, jac_collection): ''' target: test delete collection created with correct params method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' status = connect.drop_collection(jac_collection) assert not assert_has_collection(connect, jac_collection) @pytest.mark.level(2) def test_drop_collection_hamming(self, connect, ham_collection): ''' target: test delete collection created with correct params method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' status = connect.drop_collection(ham_collection) assert not assert_has_collection(connect, ham_collection) # @pytest.mark.level(2) # def test_collection_delete_without_connection(self, collection, dis_connect): # ''' # target: test describe collection, without connection # method: describe collection with correct params, with a disconnected instance # expected: describe raise exception # ''' # with pytest.raises(Exception) as e: # status = dis_connect.drop_collection(collection) def test_drop_collection_not_existed(self, connect): ''' target: test delete collection not in index method: delete all collections, and delete collection again, assert the value returned by delete method expected: status not ok ''' collection_name = gen_unique_str("test_collection") status = connect.drop_collection(collection_name) assert not status.OK() def test_delete_create_collection_repeatedly(self, connect): ''' target: test delete and create the same collection repeatedly method: try to create the same collection and delete repeatedly, assert the value returned by delete method expected: create ok and delete ok ''' loops = 2 timeout = 5 for i in range(loops): collection_name = "test_collection" param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) status = None while i < timeout: status = connect.drop_collection(collection_name) time.sleep(1) i += 1 if status.OK(): break if i > timeout: assert False # TODO: enable @pytest.mark.level(2) def _test_drop_collection_multiprocessing(self, args): ''' target: test delete collection with multiprocess method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' process_num = 6 processes = [] def deletecollection(milvus): status = milvus.drop_collection(collection) # assert not status.code==0 assert assert_has_collection(milvus, collection) assert status.OK() for i in range(process_num): milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) p = Process(target=deletecollection, args=(milvus,)) processes.append(p) p.start() for p in processes: p.join() # TODO: enable @pytest.mark.level(2) def _test_drop_collection_multiprocessing_multicollection(self, connect): ''' target: test delete collection with multiprocess method: create collection and then delete, assert the value returned by delete method expected: status ok, and no collection in collections ''' process_num = 5 loop_num = 2 processes = [] collection = [] j = 0 while j < (process_num*loop_num): collection_name = gen_unique_str("test_drop_collection_with_multiprocessing") collection.append(collection_name) param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) j = j + 1 def delete(connect,ids): i = 0 while i < loop_num: status = connect.drop_collection(collection[ids*process_num+i]) time.sleep(2) assert status.OK() assert not assert_has_collection(connect, collection[ids*process_num+i]) i = i + 1 for i in range(process_num): ids = i p = Process(target=delete, args=(connect,ids)) processes.append(p) p.start() for p in processes: p.join() """ ****************************************************************** The following cases are used to test `has_collection` function ****************************************************************** """ def test_has_collection(self, connect): ''' target: test if the created collection existed method: create collection, assert the value returned by has_collection method expected: True ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) assert assert_has_collection(connect, collection_name) def test_has_collection_ip(self, connect): ''' target: test if the created collection existed method: create collection, assert the value returned by has_collection method expected: True ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.IP} connect.create_collection(param) assert assert_has_collection(connect, collection_name) def test_has_collection_jaccard(self, connect): ''' target: test if the created collection existed method: create collection, assert the value returned by has_collection method expected: True ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.JACCARD} connect.create_collection(param) assert assert_has_collection(connect, collection_name) def test_has_collection_hamming(self, connect): ''' target: test if the created collection existed method: create collection, assert the value returned by has_collection method expected: True ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.HAMMING} connect.create_collection(param) assert assert_has_collection(connect, collection_name) # @pytest.mark.level(2) # def test_has_collection_without_connection(self, collection, dis_connect): # ''' # target: test has collection, without connection # method: calling has collection with correct params, with a disconnected instance # expected: has collection raise exception # ''' # with pytest.raises(Exception) as e: # assert_has_collection(dis_connect, collection) def test_has_collection_not_existed(self, connect): ''' target: test if collection not created method: random a collection name, which not existed in db, assert the value returned by has_collection method expected: False ''' collection_name = gen_unique_str("test_collection") assert not assert_has_collection(connect, collection_name) """ ****************************************************************** The following cases are used to test `list_collections` function ****************************************************************** """ def test_list_collections(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result def test_list_collections_ip(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.IP} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result def test_list_collections_jaccard(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.JACCARD} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result def test_list_collections_hamming(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.HAMMING} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result def test_list_collections_substructure(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUBSTRUCTURE} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result def test_list_collections_superstructure(self, connect): ''' target: test show collections is correct or not, if collection created method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.SUPERSTRUCTURE} connect.create_collection(param) status, result = connect.list_collections() assert status.OK() assert collection_name in result # @pytest.mark.level(2) # def test_list_collections_without_connection(self, dis_connect): # ''' # target: test list_collections, without connection # method: calling list_collections with correct params, with a disconnected instance # expected: list_collections raise exception # ''' # with pytest.raises(Exception) as e: # status = dis_connect.list_collections() @pytest.mark.level(2) def test_list_collections_no_collection(self, connect): ''' target: test show collections is correct or not, if no collection in db method: delete all collections, assert the value returned by list_collections method is equal to [] expected: the status is ok, and the result is equal to [] ''' status, result = connect.list_collections() if result: for collection_name in result: connect.drop_collection(collection_name) time.sleep(drop_collection_interval_time) status, result = connect.list_collections() assert status.OK() assert len(result) == 0 # TODO: enable @pytest.mark.level(2) def _test_list_collections_multiprocessing(self, connect, args): ''' target: test show collections is correct or not with processes method: create collection, assert the value returned by list_collections method is equal to 0 expected: collection_name in show collections ''' collection_name = gen_unique_str("test_collection") param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} connect.create_collection(param) def showcollections(milvus): status, result = milvus.list_collections() assert status.OK() assert collection_name in result process_num = 8 processes = [] for i in range(process_num): milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) p = Process(target=showcollections, args=(milvus,)) processes.append(p) p.start() for p in processes: p.join() """ ****************************************************************** The following cases are used to test `load_collection` function ****************************************************************** """ """ generate valid create_index params """ @pytest.fixture( scope="function", params=gen_simple_index() ) def get_simple_index(self, request, connect): if str(connect._cmd("mode")[1]) == "CPU": if request.param["index_type"] == IndexType.IVF_SQ8H: pytest.skip("sq8h not support in cpu mode") if request.param["index_type"] == IndexType.IVF_PQ: pytest.skip("Skip PQ Temporary") return request.param @pytest.mark.level(1) def test_load_collection(self, connect, collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] status, ids = connect.insert(collection, vectors) status = connect.create_index(collection, index_type, index_param) status = connect.load_collection(collection) assert status.OK() @pytest.mark.level(1) def test_load_collection_ip(self, connect, ip_collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] status, ids = connect.insert(ip_collection, vectors) status = connect.create_index(ip_collection, index_type, index_param) status = connect.load_collection(ip_collection) assert status.OK() @pytest.mark.level(1) def test_load_collection_jaccard(self, connect, jac_collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] status, ids = connect.insert(jac_collection, vectors) status = connect.create_index(jac_collection, index_type, index_param) status = connect.load_collection(jac_collection) assert status.OK() @pytest.mark.level(1) def test_load_collection_hamming(self, connect, ham_collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] status, ids = connect.insert(ham_collection, vectors) status = connect.create_index(ham_collection, index_type, index_param) status = connect.load_collection(ham_collection) assert status.OK() @pytest.mark.level(2) def test_load_collection_not_existed(self, connect, collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] collection_name = gen_unique_str() status, ids = connect.insert(collection, vectors) status = connect.create_index(collection, index_type, index_param) status = connect.load_collection(collection_name) assert not status.OK() @pytest.mark.level(2) def test_load_collection_not_existed_ip(self, connect, ip_collection, get_simple_index): index_param = get_simple_index["index_param"] index_type = get_simple_index["index_type"] collection_name = gen_unique_str() status, ids = connect.insert(ip_collection, vectors) status = connect.create_index(ip_collection, index_type, index_param) status = connect.load_collection(collection_name) assert not status.OK() @pytest.mark.level(1) def test_load_collection_no_vectors(self, connect, collection): status = connect.load_collection(collection) assert status.OK() @pytest.mark.level(2) def test_load_collection_no_vectors_ip(self, connect, ip_collection): status = connect.load_collection(ip_collection) assert status.OK() # TODO: psutils get memory usage @pytest.mark.level(1) def test_load_collection_memory_usage(self, connect, collection): pass class TestCollectionInvalid(object): """ Test creating collection with invalid collection names """ @pytest.fixture( scope="function", params=gen_invalid_collection_names() ) def get_collection_name(self, request): yield request.param @pytest.mark.level(2) def test_create_collection_with_invalid_collectionname(self, connect, get_collection_name): collection_name = get_collection_name param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} status = connect.create_collection(param) assert not status.OK() def test_create_collection_with_empty_collectionname(self, connect): collection_name = '' param = {'collection_name': collection_name, 'dimension': dim, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} with pytest.raises(Exception) as e: status = connect.create_collection(param) def test_load_collection_with_invalid_collectionname(self, connect): collection_name = '' with pytest.raises(Exception) as e: status = connect.load_collection(collection_name) class TestCreateCollectionDimInvalid(object): """ Test creating collection with invalid dimension """ @pytest.fixture( scope="function", params=gen_invalid_dims() ) def get_dim(self, request): yield request.param @pytest.mark.level(2) @pytest.mark.timeout(5) def test_create_collection_with_invalid_dimension(self, connect, get_dim): dimension = get_dim collection = gen_unique_str("test_create_collection_with_invalid_dimension") param = {'collection_name': collection, 'dimension': dimension, 'index_file_size': index_file_size, 'metric_type': MetricType.L2} if isinstance(dimension, int): status = connect.create_collection(param) assert not status.OK() else: with pytest.raises(Exception) as e: status = connect.create_collection(param) # TODO: max / min index file size class TestCreateCollectionIndexSizeInvalid(object): """ Test creating collections with invalid index_file_size """ @pytest.fixture( scope="function", params=gen_invalid_file_sizes() ) def get_file_size(self, request): yield request.param @pytest.mark.level(2) def test_create_collection_with_invalid_file_size(self, connect, collection, get_file_size): file_size = get_file_size param = {'collection_name': collection, 'dimension': dim, 'index_file_size': file_size, 'metric_type': MetricType.L2} if isinstance(file_size, int): status = connect.create_collection(param) assert not status.OK() else: with pytest.raises(Exception) as e: status = connect.create_collection(param) class TestCreateMetricTypeInvalid(object): """ Test creating collections with invalid metric_type """ @pytest.fixture( scope="function", params=gen_invalid_metric_types() ) def get_metric_type(self, request): yield request.param @pytest.mark.level(2) def test_create_collection_with_invalid_file_size(self, connect, collection, get_metric_type): metric_type = get_metric_type param = {'collection_name': collection, 'dimension': dim, 'index_file_size': 10, 'metric_type': metric_type} with pytest.raises(Exception) as e: status = connect.create_collection(param) def create_collection(connect, **params): param = {'collection_name': params["collection_name"], 'dimension': params["dimension"], 'index_file_size': index_file_size, 'metric_type': MetricType.L2} status = connect.create_collection(param) return status def search_collection(connect, **params): status, result = connect.search( params["collection_name"], params["top_k"], params["query_vectors"], params={"nprobe": params["nprobe"]}) return status def load_collection(connect, **params): status = connect.load_collection(params["collection_name"]) return status def has(connect, **params): status, result = connect.has_collection(params["collection_name"]) return status def show(connect, **params): status, result = connect.list_collections() return status def delete(connect, **params): status = connect.drop_collection(params["collection_name"]) return status def describe(connect, **params): status, result = connect.get_collection_info(params["collection_name"]) return status def rowcount(connect, **params): status, result = connect.count_entities(params["collection_name"]) return status def create_index(connect, **params): status = connect.create_index(params["collection_name"], params["index_type"], params["index_param"]) return status func_map = { # 0:has, 1:show, 10:create_collection, 11:describe, 12:rowcount, 13:search_collection, 14:load_collection, 15:create_index, 30:delete } def gen_sequence(): raw_seq = func_map.keys() result = itertools.permutations(raw_seq) for x in result: yield x class TestCollectionLogic(object): @pytest.mark.parametrize("logic_seq", gen_sequence()) @pytest.mark.level(2) def test_logic(self, connect, logic_seq, args): if args["handler"] == "HTTP": pytest.skip("Skip in http mode") if self.is_right(logic_seq): self.execute(logic_seq, connect) else: self.execute_with_error(logic_seq, connect) def is_right(self, seq): if sorted(seq) == seq: return True not_created = True has_deleted = False for i in range(len(seq)): if seq[i] > 10 and not_created: return False elif seq [i] > 10 and has_deleted: return False elif seq[i] == 10: not_created = False elif seq[i] == 30: has_deleted = True return True def execute(self, logic_seq, connect): basic_params = self.gen_params() for i in range(len(logic_seq)): # logging.getLogger().info(logic_seq[i]) f = func_map[logic_seq[i]] status = f(connect, **basic_params) assert status.OK() def execute_with_error(self, logic_seq, connect): basic_params = self.gen_params() error_flag = False for i in range(len(logic_seq)): f = func_map[logic_seq[i]] status = f(connect, **basic_params) if not status.OK(): # logging.getLogger().info(logic_seq[i]) error_flag = True break assert error_flag == True def gen_params(self): collection_name = gen_unique_str("test_collection") top_k = 1 vectors = gen_vectors(2, dim) param = {'collection_name': collection_name, 'dimension': dim, 'metric_type': MetricType.L2, 'nprobe': 1, 'top_k': top_k, 'index_type': IndexType.IVF_SQ8, 'index_param': { 'nlist': 16384 }, 'query_vectors': vectors} return param