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- test collection with fields - test collection dup drop Resolves: #5312 #5317 #5331 Signed-off-by: ThreadDao yufen.zong@zilliz.com
454 lines
17 KiB
Python
454 lines
17 KiB
Python
import pytest
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from pymilvus_orm import FieldSchema
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from base.client_request import ApiReq
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from utils.util_log import test_log as log
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from common import common_func as cf
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from common import common_type as ct
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from common.common_type import CaseLabel
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prefix = "collection"
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default_schema = cf.gen_default_collection_schema()
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def assert_default_collection(collection, exp_name=None, exp_schema=default_schema, exp_num=0, exp_primary=None):
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if exp_name:
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assert collection.name == exp_name
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assert collection.description == exp_schema.description
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assert collection.schema == exp_schema
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if exp_num == 0:
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assert collection.is_empty
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assert collection.num_entities == exp_num
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if exp_primary is None:
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assert collection.primary_field is None
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else:
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assert collection.primary_field == exp_primary
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class TestCollectionParams(ApiReq):
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""" Test case of collection interface """
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def teardown_method(self):
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if self.collection is not None and self.collection.collection is not None:
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self.collection.drop()
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def setup_method(self):
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pass
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@pytest.fixture(
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scope="function",
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params=ct.get_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=ct.get_invalid_strs
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)
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def get_invalid_type_schema(self, request):
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if request.param is None:
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pytest.skip("None schema is valid")
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yield request.param
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@pytest.fixture(
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scope="function",
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params=ct.get_invalid_strs
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)
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def get_invalid_type_fields(self, request):
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skip_param = []
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if request.param == skip_param:
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pytest.skip("skip []")
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yield request.param
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@pytest.fixture(
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scope="function",
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params=cf.gen_invalid_field_types()
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)
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def get_invalid_field_type(self, request):
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yield request.param
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5224")
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def test_collection(self):
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"""
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target: test collection with default schema
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method: create collection with default schema
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expected: assert collection property
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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collection, _ = self.collection.collection_init(c_name, data=None, schema=default_schema)
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assert_default_collection(collection, c_name)
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assert c_name in self.utility.list_collections()
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@pytest.mark.tags(CaseLabel.L0)
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def test_collection_empty_name(self):
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"""
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target: test collection with empty name
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method: create collection with a empty name
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expected: raise exception
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"""
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self._connect()
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c_name = ""
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ex, check = self.collection.collection_init(c_name, schema=default_schema)
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assert "value is illegal" in str(ex)
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_invalid_name(self, get_invalid_string):
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"""
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target: test collection with invalid name
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method: create collection with invalid name
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expected: raise exception
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"""
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self._connect()
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c_name = get_invalid_string
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ex, check = self.collection.collection_init(c_name, schema=default_schema)
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assert "invalid" or "illegal" in str(ex)
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5231 #5241")
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def test_collection_dup_name(self):
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"""
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target: test collection with dup name
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method: create collection with dup name and none schema and data
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expected: collection properties consistent
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"""
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self._connect()
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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dup_collection, _ = self.collection.collection_init(c_name)
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assert_default_collection(dup_collection, c_name)
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assert collection.name == dup_collection.name
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assert collection.name in self.utility.list_collections()
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assert collection.schema == dup_collection.schema
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assert id(collection) == id(dup_collection)
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_dup_name_new_schema(self):
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"""
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target: test collection with dup name and new schema
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method: 1.create collection with default schema
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2. collection with dup name and new schema
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expected: raise exception
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"""
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self._connect()
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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fields = [cf.gen_int64_field()]
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schema = cf.gen_collection_schema(fields=fields)
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "The collection already exist, but the schema isnot the same as the passed in" in str(ex)
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_dup_name_new_primary(self):
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"""
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target: test collection with dup name and new primary_field schema
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method: 1.collection with default schema
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2. collection with same fields and new primary_field schema
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expected: raise exception
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"""
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self._connect()
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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schema = cf.gen_default_collection_schema(primary_field=ct.default_int64_field)
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "The collection already exist, but the schema isnot the same as the passed in" in str(ex)
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assert collection.primary_field is None
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_dup_name_new_dim(self):
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"""
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target: test collection with dup name and new dim schema
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method: 1. default schema 2. schema with new dim
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expected: raise exception
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"""
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self._connect()
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new_dim = 120
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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schema = cf.gen_default_collection_schema()
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new_fields = cf.gen_float_vec_field(dim=new_dim)
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schema.fields[-1] = new_fields
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "The collection already exist, but the schema isnot the same as the passed in" in str(ex)
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assert collection.primary_field is None
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5304")
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def test_collection_dup_name_invalid_schema_type(self, get_invalid_type_schema):
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"""
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target: test collection with dup name and invalid schema
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method: 1. default schema 2. invalid schema
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expected: raise exception and
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"""
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self._connect()
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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ex, _ = self.collection.collection_init(c_name, schema=get_invalid_type_schema)
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assert "schema type must be schema.CollectionSchema" in str(ex)
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assert_default_collection(collection, c_name)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5231, #5241")
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def test_collection_dup_name_same_schema(self):
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"""
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target: test collection with dup name and same schema
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method: dup name and same schema
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expected: two collection object is available
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"""
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self._connect()
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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dup_collection, _ = self.collection.collection_init(c_name, schema=default_schema)
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assert_default_collection(dup_collection, c_name)
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assert id(collection) == id(dup_collection)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5302")
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def test_collection_dup_name_none_schema_dataframe(self):
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"""
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target: test collection with dup name and insert dataframe
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method: create collection with dup name, none schema, dataframe
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expected: two collection object is correct
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"""
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self._connect()
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nb = ct.default_nb
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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df = cf.gen_default_dataframe_data(nb)
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dup_collection, _ = self.collection.collection_init(c_name, schema=None, data=df)
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assert_default_collection(dup_collection, c_name, exp_num=nb)
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assert collection.num_entities == nb
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5302")
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def test_collection_dup_name_none_schema_data_list(self):
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"""
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target: test collection with dup name and insert data (list-like)
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method: create collection with dup name, none schema, data (list-like)
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expected: two collection object is correct
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"""
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self._connect()
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nb = ct.default_nb
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collection = self._collection()
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c_name = collection.name
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assert_default_collection(collection)
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data = cf.gen_default_dataframe_data(nb)
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dup_collection, _ = self.collection.collection_init(c_name, schema=None, data=data)
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assert_default_collection(dup_collection, c_name, exp_num=nb)
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assert collection.num_entities == nb
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@pytest.mark.tags(CaseLabel.L0)
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def test_collection_none_schema(self):
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"""
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target: test collection with none schema
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method: create collection with none schema
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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ex, _ = self.collection.collection_init(c_name, schema=None)
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assert "Collection missing schema" in str(ex)
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@pytest.mark.tags(CaseLabel.L0)
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def test_collection_invalid_type_schema(self, get_invalid_type_schema):
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"""
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target: test collection with invalid schema
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method: create collection with non-CollectionSchema type schema
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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ex, _ = self.collection.collection_init(c_name, schema=get_invalid_type_schema)
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assert "schema type must be schema.CollectionSchema" in str(ex)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5331")
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def test_collection_invalid_type_fields(self, get_invalid_type_fields):
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"""
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target: test collection with invalid fields type, non-list
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method: create collection schema with non-list invalid fields
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expected: exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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fields = get_invalid_type_fields
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schema = cf.gen_collection_schema(fields=fields)
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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log.error(str(ex))
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_invalid_field_name(self, get_invalid_string):
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"""
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target: test collection with invalid field name
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method: invalid string name
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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field = FieldSchema(name=get_invalid_string, dtype=5)
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schema = cf.gen_collection_schema(fields=[field])
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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message_one = "but expected one of: bytes, unicode"
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message_two = "You should specify the name of field"
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message_three = "Invalid field name"
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assert message_one or message_two or message_three in str(ex)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.xfail(reason="issue #5317")
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def test_collection_invalid_field_type(self, get_invalid_field_type):
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"""
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target: test collection with invalid field type
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method: invalid DataType
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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field = FieldSchema(name="test", dtype=get_invalid_field_type)
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schema = cf.gen_collection_schema(fields=[field])
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "Field type must be of DataType" in str(ex)
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5312")
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def test_collection_empty_fields(self):
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"""
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target: test collection with empty fields
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method: create collection with fields = []
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expected: exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_collection_schema(fields=[])
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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# TODO assert
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_dup_field(self):
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"""
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target: test collection with dup field name
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method: Two FieldSchema have same name
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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field_one = cf.gen_int64_field()
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field_two = cf.gen_int64_field()
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schema = cf.gen_collection_schema(fields=[field_one, field_two])
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "duplicated field name" in str(ex)
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has, _ = self.utility.has_collection(c_name)
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assert not has
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5285")
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def test_collection_without_vectors(self):
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"""
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target: test collection without vectors
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method: create collection only with int field
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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schema = cf.gen_collection_schema([cf.gen_int64_field()])
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ex, _ = self.collection.collection_init(c_name, schema=schema)
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assert "must" in str(ex)
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5302")
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def test_collection_with_dataframe(self):
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"""
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target: test collection with dataframe data
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method: create collection and insert with dataframe
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expected: collection num entities equal to nb
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"""
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self._connect()
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nb = ct.default_nb
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c_name = cf.gen_unique_str(prefix)
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data = cf.gen_default_dataframe_data(nb)
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collection, _ = self.collection.collection_init(c_name, schema=default_schema, data=data)
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assert_default_collection(collection, c_name, exp_num=nb)
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.xfail(reason="issue #5302")
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def test_collection_with_data_list(self):
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"""
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target: test collection with data (list-like)
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method: create collection with data (list-like)
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expected: collection num entities equal to nb
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"""
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self._connect()
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nb = ct.default_nb
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c_name = cf.gen_unique_str(prefix)
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data = cf.gen_default_list_data(nb)
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collection, _ = self.collection.collection_init(c_name, schema=default_schema, data=data)
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assert_default_collection(collection, c_name, exp_num=nb)
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class TestCollectionOperation(ApiReq):
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"""
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******************************************************************
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The following cases are used to test collection interface operations
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******************************************************************
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"""
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# #5237
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_without_connection(self):
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"""
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target: test collection without connection
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method: 1.create collection after connection removed
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expected: raise exception
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"""
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self._connect()
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c_name = cf.gen_unique_str(prefix)
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self.connection.remove_connection(ct.default_alias)
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res_list = self.connection.list_connections()
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assert ct.default_alias not in res_list
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ex, check = self.collection.collection_init(c_name, schema=default_schema)
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assert "There is no connection with alias '{}'".format(ct.default_alias) in str(ex)
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assert self.collection.collection is None
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_multi_create_drop(self):
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"""
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target: test cycle creation and deletion of multiple collections
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method: in a loop, collections are created and deleted sequentially
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expected: no exception
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"""
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self._connect()
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c_num = 20
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for _ in range(c_num):
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c_name = cf.gen_unique_str(prefix)
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collection, _ = self.collection.collection_init(c_name, schema=default_schema)
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assert_default_collection(collection, c_name)
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collection.drop()
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assert c_name not in self.utility.list_collections()
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@pytest.mark.tags(CaseLabel.L1)
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def test_collection_dup_name_drop(self):
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"""
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target: test collection with dup name, and drop
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method: 1. two dup name collection object
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2. one object drop collection
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expected: collection dropped
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"""
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self._connect()
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collection = self._collection()
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assert_default_collection(collection)
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dup_collection, _ = self.collection.collection_init(collection.name)
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assert_default_collection(dup_collection, collection.name)
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dup_collection.drop()
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has, _ = self.utility.has_collection(collection.name)
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assert not has
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with pytest.raises(Exception, match="can't find collection"):
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collection.num_entities
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