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import pdb |
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import copy |
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import logging |
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import itertools |
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from time import sleep |
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import threading |
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from multiprocessing import Process |
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import sklearn.preprocessing |
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import pytest |
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from milvus import IndexType, MetricType |
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from utils import * |
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nb = 1 |
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dim = 128 |
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collection_id = "create_collection" |
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default_segment_size = 1024 |
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drop_collection_interval_time = 3 |
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segment_size = 10 |
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default_fields = gen_default_fields() |
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entities = gen_entities(nb) |
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class TestCreateCollection: |
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""" |
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****************************************************************** |
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The following cases are used to test `create_collection` function |
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****************************************************************** |
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""" |
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@pytest.fixture( |
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scope="function", |
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params=gen_single_filter_fields() |
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) |
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def get_filter_field(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_single_vector_fields() |
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) |
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def get_vector_field(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_segment_sizes() |
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) |
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def get_segment_size(self, request): |
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yield request.param |
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def test_create_collection_fields(self, connect, get_filter_field, get_vector_field): |
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''' |
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target: test create normal collection with different fields |
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method: create collection with diff fields: metric/field_type/... |
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expected: no exception raised |
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''' |
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filter_field = get_filter_field |
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logging.getLogger().info(filter_field) |
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vector_field = get_vector_field |
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collection_name = gen_unique_str(collection_id) |
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fields = { |
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"fields": [filter_field, vector_field], |
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"segment_size": segment_size |
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} |
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logging.getLogger().info(fields) |
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connect.create_collection(collection_name, fields) |
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assert connect.has_collection(collection_name) |
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# TODO |
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def test_create_collection_fields_create_index(self, connect, get_filter_field, get_vector_field): |
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''' |
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target: test create normal collection with different fields |
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method: create collection with diff fields: metric/field_type/... |
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expected: no exception raised |
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''' |
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filter_field = get_filter_field |
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vector_field = get_vector_field |
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collection_name = gen_unique_str(collection_id) |
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fields = { |
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"fields": [filter_field, vector_field], |
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"segment_size": segment_size |
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} |
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connect.create_collection(collection_name, fields) |
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assert connect.has_collection(collection_name) |
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def test_create_collection_segment_size(self, connect, get_segment_size): |
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''' |
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target: test create normal collection with different fields |
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method: create collection with diff segment_size |
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expected: no exception raised |
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''' |
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collection_name = gen_unique_str(collection_id) |
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fields = copy.deepcopy(default_fields) |
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fields["segment_size"] = get_segment_size |
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connect.create_collection(collection_name, fields) |
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assert connect.has_collection(collection_name) |
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def test_create_collection_auto_flush_disabled(self, connect): |
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''' |
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target: test create normal collection, with large auto_flush_interval |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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disable_flush(connect) |
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collection_name = gen_unique_str(collection_id) |
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try: |
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connect.create_collection(collection_name, default_fields) |
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finally: |
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enable_flush(connect) |
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# pdb.set_trace() |
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def test_create_collection_after_insert(self, connect, collection): |
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''' |
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target: test insert vector, then create collection again |
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method: insert vector and create collection |
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expected: error raised |
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''' |
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# pdb.set_trace() |
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connect.insert(collection, entities) |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection, default_fields) |
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def test_create_collection_after_insert_flush(self, connect, collection): |
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''' |
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target: test insert vector, then create collection again |
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method: insert vector and create collection |
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expected: error raised |
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''' |
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connect.insert(collection, entities) |
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connect.flush([collection]) |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection, default_fields) |
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# TODO: assert exception |
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@pytest.mark.level(2) |
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def test_create_collection_without_connection(self, dis_connect): |
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''' |
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target: test create collection, without connection |
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method: create collection with correct params, with a disconnected instance |
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expected: create raise exception |
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''' |
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collection_name = gen_unique_str(collection_id) |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, default_fields) |
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def test_create_collection_existed(self, connect): |
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''' |
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target: test create collection but the collection name have already existed |
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method: create collection with the same collection_name |
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expected: create status return not ok |
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''' |
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collection_name = gen_unique_str(collection_id) |
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connect.create_collection(collection_name, default_fields) |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, default_fields) |
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@pytest.mark.level(2) |
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def test_create_collection_multithread(self, connect): |
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''' |
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target: test create collection with multithread |
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method: create collection using multithread, |
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expected: collections are created |
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''' |
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threads_num = 8 |
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threads = [] |
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collection_names = [] |
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def create(): |
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collection_name = gen_unique_str(collection_id) |
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collection_names.append(collection_name) |
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connect.create_collection(collection_name, default_fields) |
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for i in range(threads_num): |
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t = threading.Thread(target=create, args=()) |
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threads.append(t) |
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t.start() |
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time.sleep(0.2) |
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for t in threads: |
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t.join() |
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res = connect.list_collections() |
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for item in collection_names: |
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assert item in res |
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class TestCreateCollectionInvalid(object): |
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""" |
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Test creating collections with invalid params |
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""" |
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@pytest.fixture( |
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scope="function", |
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params=gen_invalid_metric_types() |
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) |
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def get_metric_type(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_invalid_ints() |
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) |
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def get_segment_size(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_invalid_ints() |
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) |
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def get_dim(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_invalid_strs() |
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) |
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def get_invalid_string(self, request): |
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yield request.param |
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@pytest.fixture( |
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scope="function", |
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params=gen_invalid_field_types() |
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) |
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def get_field_type(self, request): |
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yield request.param |
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@pytest.mark.level(2) |
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def test_create_collection_with_invalid_segment_size(self, connect, get_segment_size): |
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collection_name = gen_unique_str() |
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fields = copy.deepcopy(default_fields) |
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fields["segment_size"] = get_segment_size |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, fields) |
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@pytest.mark.level(2) |
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def test_create_collection_with_invalid_metric_type(self, connect, get_metric_type): |
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collection_name = gen_unique_str() |
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fields = copy.deepcopy(default_fields) |
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fields["fields"][-1]["params"]["metric_type"] = get_metric_type |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, fields) |
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@pytest.mark.level(2) |
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def test_create_collection_with_invalid_dimension(self, connect, get_dim): |
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dimension = get_dim |
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collection_name = gen_unique_str() |
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fields = copy.deepcopy(default_fields) |
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fields["fields"][-1]["params"]["dimension"] = dimension |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, fields) |
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250
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@pytest.mark.level(2) |
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def test_create_collection_with_invalid_collectionname(self, connect, get_invalid_string): |
252
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collection_name = get_invalid_string |
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with pytest.raises(Exception) as e: |
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connect.create_collection(collection_name, default_fields) |
255
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256
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@pytest.mark.level(2) |
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def test_create_collection_with_empty_collectionname(self, connect): |
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collection_name = '' |
259
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with pytest.raises(Exception) as e: |
260
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connect.create_collection(collection_name, default_fields) |
261
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262
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@pytest.mark.level(2) |
263
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def test_create_collection_with_none_collectionname(self, connect): |
264
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collection_name = None |
265
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with pytest.raises(Exception) as e: |
266
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connect.create_collection(collection_name, default_fields) |
267
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268
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def test_create_collection_None(self, connect): |
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''' |
270
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target: test create collection but the collection name is None |
271
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method: create collection, param collection_name is None |
272
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expected: create raise error |
273
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''' |
274
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with pytest.raises(Exception) as e: |
275
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connect.create_collection(None, default_fields) |
276
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277
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def test_create_collection_no_dimension(self, connect): |
278
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''' |
279
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target: test create collection with no dimension params |
280
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method: create collection with corrent params |
281
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expected: create status return ok |
282
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''' |
283
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collection_name = gen_unique_str(collection_id) |
284
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fields = copy.deepcopy(default_fields) |
285
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fields["fields"][-1]["params"].pop("dimension") |
286
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with pytest.raises(Exception) as e: |
287
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connect.create_collection(collection_name, fields) |
288
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289
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def test_create_collection_no_segment_size(self, connect): |
290
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''' |
291
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target: test create collection with no segment_size params |
292
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method: create collection with corrent params |
293
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expected: use default default_segment_size |
294
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''' |
295
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collection_name = gen_unique_str(collection_id) |
296
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fields = copy.deepcopy(default_fields) |
297
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fields.pop("segment_size") |
298
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connect.create_collection(collection_name, fields) |
299
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res = connect.get_collection_info(collection_name) |
300
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logging.getLogger().info(res) |
301
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assert res["segment_size"] == default_segment_size |
302
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303
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# TODO: |
304
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def _test_create_collection_no_metric_type(self, connect): |
305
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''' |
306
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target: test create collection with no metric_type params |
307
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method: create collection with corrent params |
308
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expected: use default L2 |
309
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''' |
310
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collection_name = gen_unique_str(collection_id) |
311
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fields = copy.deepcopy(default_fields) |
312
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fields["fields"][-1]["params"].pop("metric_type") |
313
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connect.create_collection(collection_name, fields) |
314
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res = connect.get_collection_info(collection_name) |
315
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logging.getLogger().info(res) |
316
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assert res["metric_type"] == "L2" |
317
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318
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# TODO: assert exception |
319
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def test_create_collection_limit_fields(self, connect): |
320
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collection_name = gen_unique_str(collection_id) |
321
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limit_num = 64 |
322
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fields = copy.deepcopy(default_fields) |
323
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for i in range(limit_num): |
324
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field_name = gen_unique_str("field_name") |
325
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field = {"field": field_name, "type": DataType.INT8} |
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326
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fields["fields"].append(field) |
327
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with pytest.raises(Exception) as e: |
328
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connect.create_collection(collection_name, fields) |
329
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330
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# TODO: assert exception |
331
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def test_create_collection_invalid_field_name(self, connect, get_invalid_string): |
332
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collection_name = gen_unique_str(collection_id) |
333
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fields = copy.deepcopy(default_fields) |
334
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field_name = get_invalid_string |
335
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field = {"field": field_name, "type": DataType.INT8} |
|
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|
336
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fields["fields"].append(field) |
337
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with pytest.raises(Exception) as e: |
338
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connect.create_collection(collection_name, fields) |
339
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340
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# TODO: assert exception |
341
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def test_create_collection_invalid_field_type(self, connect, get_field_type): |
342
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collection_name = gen_unique_str(collection_id) |
343
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fields = copy.deepcopy(default_fields) |
344
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field_type = get_field_type |
345
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field = {"field": "test_field", "type": field_type} |
346
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fields["fields"].append(field) |
347
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with pytest.raises(Exception) as e: |
348
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connect.create_collection(collection_name, fields) |
349
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