text: import pdb
  import logging
  
  import pytest
  from pymilvus import DataType
  
  import utils as ut
  
  default_entities = ut.gen_entities(ut.default_nb, is_normal=True)
  raw_vectors, default_binary_entities = ut.gen_binary_entities(ut.default_nb)
  default_int_field_name = "int64"
  default_float_field_name = "float"
  default_pos = 5 
  default_term_expr = f'{default_int_field_name} in {[i for i in range(default_pos)]}'
  
  
  def init_data(connect, collection, nb=ut.default_nb, partition_names=None, auto_id=True):
      """
      Generate entities and add it in collection
      """
      if nb == 3000:
          insert_entities = default_entities
      else:
          insert_entities = ut.gen_entities(nb, is_normal=True)
      if partition_names is None:
          if auto_id:
              ids = connect.insert(collection, insert_entities)
          else:
              ids = connect.insert(collection, insert_entities, ids=[i for i in range(nb)])
      else:
          if auto_id:
              ids = connect.insert(collection, insert_entities, partition_name=partition_names)
          else:
              ids = connect.insert(collection, insert_entities, ids=[i for i in range(nb)],
                                   partition_name=partition_names)
      connect.flush([collection])
      return insert_entities, ids
  
  
  def init_binary_data(connect, collection, nb=3000, insert=True, partition_names=None):
      """
      Generate entities and add it in collection
      """
      ids = []
      # global binary_entities
      global raw_vectors
      if nb == 3000:
          insert_entities = default_binary_entities
          insert_raw_vectors = raw_vectors
      else:
          insert_raw_vectors, insert_entities = ut.gen_binary_entities(nb)
      if insert is True:
          if partition_names is None:
              ids = connect.insert(collection, insert_entities)
          else:
              ids = connect.insert(collection, insert_entities, partition_name=partition_names)
          connect.flush([collection])
      return insert_raw_vectors, insert_entities, ids
  
  
  class TestQueryBase:
      """
      test Query interface
      query(collection_name, expr, output_fields=None, partition_names=None, timeout=None)
      """
  
      @pytest.fixture(
          scope="function",
          params=ut.gen_invalid_strs()
      )
      def get_collection_name(self, request):
          yield request.param
  
      @pytest.fixture(
          scope="function",
          params=ut.gen_simple_index()
      )
      def get_simple_index(self, request, connect):
          return request.param
  
      def test_query_invalid(self, connect, collection):
          """
          target: test query
          method: query with term expr
          expected: verify query result
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in {entities[:default_pos]}'
          with pytest.raises(Exception):
              res = connect.query(collection, term_expr)
  
      def test_query_valid(self, connect, collection):
          """
          target: test query
          method: query with term expr
          expected: verify query result
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in {ids[:default_pos]}'
          res = connect.query(collection, term_expr)
          assert len(res) == default_pos
          for _id, index in enumerate(ids[:default_pos]):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
                  # not support
                  # ut.assert_equal_vector(res[index][ut.default_float_vec_field_name], entities[2]["values"][index])
  
      def test_query_collection_not_existed(self, connect):
          """
          target: test query not existed collection
          method: query not existed collection
          expected: raise exception
          """
          ex_msg = 'find collection'
          collection = "not_exist"
          with pytest.raises(Exception, match=ex_msg):
              connect.query(collection, default_term_expr)
  
      def test_query_without_connect(self, dis_connect, collection):
          """
          target: test query without connection
          method: close connect and query
          expected: raise exception
          """
          ex_msg = 'NoneType'
          with pytest.raises(Exception, match=ex_msg):
              dis_connect.query(collection, default_term_expr)
  
      def test_query_invalid_collection_name(self, connect, get_collection_name):
          """
          target: test query with invalid collection name
          method: query with invalid collection name
          expected: raise exception
          """
          collection_name = get_collection_name
          with pytest.raises(Exception):
              connect.query(collection_name, default_term_expr)
      
      def test_query_after_index(self, connect, collection, get_simple_index):
          """
          target: test query after creating index
          method: query after index
          expected: query result is correct
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.create_index(collection, ut.default_float_vec_field_name, get_simple_index)
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in {ids[:default_pos]}'
          res = connect.query(collection, term_expr)
          logging.getLogger().info(res)
          assert len(res) == default_pos
          for _id, index in enumerate(ids[:default_pos]):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
          #     # ut.assert_equal_vector(res[i][ut.default_float_vec_field_name], entities[-1]["values"][i])
  
      def test_query_after_search(self, connect, collection):
          """
          target: test query after search
          method: query after search
          expected: query result is correct
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          top_k = 10
          nq = 2
          query, _ = ut.gen_query_vectors(ut.default_float_vec_field_name, entities, top_k=top_k, nq=nq)
          connect.load_collection(collection)
          search_res = connect.search(collection, query)
          assert len(search_res) == nq
          assert len(search_res[0]) == top_k
          term_expr = f'{default_int_field_name} in {ids[:default_pos]}'
          res = connect.query(collection, term_expr)
          logging.getLogger().info(res)
          assert len(res) == default_pos
          for _id, index in enumerate(ids[:default_pos]):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
                  # not support
                  # ut.assert_equal_vector(res[index][ut.default_float_vec_field_name], entities[2]["values"][index])
  
      def test_query_empty_collection(self, connect, collection):
          """
          target: test query empty collection
          method: query on a empty collection
          expected: todo
          """
          connect.load_collection(collection)
          res = connect.query(collection, default_term_expr)
          logging.getLogger().info(res)
          assert len(res) == 0
  
      def test_query_without_loading(self, connect, collection):
          """
          target: test query without loading
          method: no loading before query
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr)
  
      def test_query_collection_not_primary_key(self, connect, collection):
          """
          target: test query on collection that not on the primary field
          method: 1.create collection with auto_id=True 2.query on the other field
          expected: exception raised
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_float_field_name} in {entities[:default_pos]}'
          with pytest.raises(Exception):
              connect.query(collection, term_expr)
  
      def test_query_expr_none(self, connect, collection):
          """
          target: test query with none expr
          method: query with expr None
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, None)
  
      @pytest.mark.parametrize("expr", [1, "1", "12-s", "中文", [], {}, ()])
      def test_query_expr_invalid_string(self, connect, collection, expr):
          """
          target: test query with non-string expr
          method: query with non-string expr, eg 1, [] ..
          expected: raise exception
          """
          # entities, ids = init_data(connect, collection)
          # assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      def test_query_expr_not_existed_field(self, connect, collection):
          """
          target: test query with not existed field
          method: query by term expr with fake field
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = 'field in [1, 2]'
          with pytest.raises(Exception):
              connect.query(collection, term_expr)
  
      @pytest.mark.parametrize("expr", [f'{default_int_field_name} inn [1, 2]',
                                        f'{default_int_field_name} not in [1, 2]',
                                        f'{default_int_field_name} in not [1, 2]'])
      def test_query_expr_wrong_term_keyword(self, connect, collection, expr):
          """
          target: test query with wrong term expr keyword
          method: query with wrong keyword term expr
          expected: raise exception
          """
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      @pytest.mark.parametrize("expr", [f'{default_int_field_name} in 1',
                                        f'{default_int_field_name} in "in"',
                                        f'{default_int_field_name} in (mn)'])
      def test_query_expr_non_array_term(self, connect, collection, expr):
          """
          target: test query with non-array term expr
          method: query with non-array term expr
          expected: raise exception
          """
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      def test_query_expr_empty_term_array(self, connect, collection):
          """
          target: test query with empty array term expr
          method: query with empty term expr
          expected: todo
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in []'
          res = connect.query(collection, term_expr)
          assert len(res) == 0
  
      def test_query_expr_single_term_array(self, connect, collection):
          """
          target: test query with single array term expr
          method: query with single array value
          expected: query result is one entity
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in [0]'
          res = connect.query(collection, term_expr)
          assert len(res) == 1
          assert res[0][default_int_field_name] == entities[0]["values"][0]
          assert res[0][default_float_field_name] == entities[1]["values"][0]
          # not support
          # ut.assert_equal_vector(res[0][ut.default_float_vec_field_name], entities[2]["values"][0])
  
      @pytest.mark.xfail(reason="#6072")
      def test_query_binary_expr_single_term_array(self, connect, binary_collection):
          """
          target: test query with single array term expr
          method: query with single array value
          expected: query result is one entity
          """
          _, binary_entities, ids = init_binary_data(connect, binary_collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(binary_collection)
          term_expr = f'{default_int_field_name} in [0]'
          res = connect.query(binary_collection, term_expr)
          assert len(res) == 1
          assert res[0][default_int_field_name] == binary_entities[0]["values"][0]
          assert res[1][default_float_field_name] == binary_entities[1]["values"][0]
          # not support
          # assert res[2][ut.default_float_vec_field_name] == binary_entities[2]["values"][0]
  
      @pytest.mark.level(2)
      def test_query_expr_all_term_array(self, connect, collection):
          """
          target: test query with all array term expr
          method: query with all array value
          expected: verify query result
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          term_expr = f'{default_int_field_name} in {ids}'
          res = connect.query(collection, term_expr)
          assert len(res) == ut.default_nb
          for _id, index in enumerate(ids):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
                  # not support
                  # ut.assert_equal_vector(res[index][ut.default_float_vec_field_name], entities[2]["values"][index])
  
      def test_query_expr_repeated_term_array(self, connect, collection):
          """
          target: test query with repeated term array on primary field with unique value
          method: query with repeated array value
          expected: verify query result
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          int_values = [0, 0]
          term_expr = f'{default_int_field_name} in {int_values}'
          res = connect.query(collection, term_expr)
          assert len(res) == 2 
  
      def test_query_expr_inconstant_term_array(self, connect, collection):
          """
          target: test query with term expr that field and array are inconsistent
          method: query with int field and float values
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          expr = f'{default_int_field_name} in [1.0, 2.0]'
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      def test_query_expr_mix_term_array(self, connect, collection):
          """
          target: test query with mix type value expr
          method: query with term expr that has int and float type value
          expected: todo
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          expr = f'{default_int_field_name} in [1, 2.]'
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      @pytest.mark.parametrize("constant", [[1], (), {}])
      def test_query_expr_non_constant_array_term(self, connect, collection, constant):
          """
          target: test query with non-constant array term expr
          method: query with non-constant array expr
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          expr = f'{default_int_field_name} in [{constant}]'
          with pytest.raises(Exception):
              connect.query(collection, expr)
  
      def test_query_output_field_empty(self, connect, collection):
          """
          target: test query with none output field
          method: query with output field=None
          expected: return all fields
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          res = connect.query(collection, default_term_expr, output_fields=[])
          # not support float_vector
          fields = [default_int_field_name, default_float_field_name]
          for field in fields:
              assert field in res[0].keys()
  
      def test_query_output_one_field(self, connect, collection):
          """
          target: test query with output one field
          method: query with output one field
          expected: return one field
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          res = connect.query(collection, default_term_expr, output_fields=[default_int_field_name])
          assert default_int_field_name in res[0].keys()
          assert len(res[0].keys()) == 1
  
      def test_query_output_all_fields(self, connect, collection):
          """
          target: test query with none output field
          method: query with output field=None
          expected: return all fields
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          # fields = [default_int_field_name, default_float_field_name, ut.default_float_vec_field_name]
          fields = [default_int_field_name, default_float_field_name]
          res = connect.query(collection, default_term_expr, output_fields=fields)
          for field in fields:
              assert field in res[0].keys()
  
      def test_query_output_not_existed_field(self, connect, collection):
          """
          target: test query output not existed field
          method: query with not existed output field
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr, output_fields=["int"])
  
      @pytest.mark.xfail(reason="#6074")
      def test_query_output_part_not_existed_field(self, connect, collection):
          """
          target: test query output part not existed field
          method: query with part not existed field
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr, output_fields=[default_int_field_name, "int"])
  
      @pytest.mark.parametrize("fields", ut.gen_invalid_strs())
      def test_query_invalid_output_fields(self, connect, collection, fields):
          """
          target: test query with invalid output fields
          method: query with invalid field fields
          expected: raise exception
          """
          entities, ids = init_data(connect, collection)
          connect.load_collection(collection)
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr, output_fields=[fields])
  
  
  class TestQueryPartition:
      """
      test Query interface
      query(collection_name, expr, output_fields=None, partition_names=None, timeout=None)
      """
      def test_query_partition(self, connect, collection):
          """
          target: test query on partition
          method: create a partition and query
          expected: verify query result
          """
          connect.create_partition(collection, ut.default_tag)
          entities, ids = init_data(connect, collection, partition_names=ut.default_tag)
          assert len(ids) == ut.default_nb
          connect.load_partitions(collection, [ut.default_tag])
          res = connect.query(collection, default_term_expr, partition_names=[ut.default_tag])
          for _id, index in enumerate(ids[:default_pos]):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
                  # not support
                  # ut.assert_equal_vector(res[index][ut.default_float_vec_field_name], entities[2]["values"][index])
  
      def test_query_partition_without_loading(self, connect, collection):
          """
          target: test query on partition without loading
          method: query on partition and no loading
          expected: raise exception
          """
          connect.create_partition(collection, ut.default_tag)
          entities, ids = init_data(connect, collection, partition_names=ut.default_tag)
          assert len(ids) == ut.default_nb
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr, partition_names=[ut.default_tag])
  
      def test_query_default_partition(self, connect, collection):
          """
          target: test query on default partition
          method: query on default partition
          expected: verify query result
          """
          entities, ids = init_data(connect, collection)
          assert len(ids) == ut.default_nb
          connect.load_collection(collection)
          res = connect.query(collection, default_term_expr, partition_names=[ut.default_partition_name])
          for _id, index in enumerate(ids[:default_pos]):
              if res[index][default_int_field_name] == entities[0]["values"][index]:
                  assert res[index][default_float_field_name] == entities[1]["values"][index]
                  # not support
                  # ut.assert_equal_vector(res[index][ut.default_float_vec_field_name], entities[2]["values"][index])
  
      @pytest.mark.xfail(reason="#6075")
      def test_query_empty_partition(self, connect, collection):
          """
          target: test query on empty partition
          method: query on a empty collection
          expected: empty query result
          """
          connect.create_partition(collection, ut.default_tag)
          connect.load_partitions(collection, [ut.default_partition_name])
          res = connect.query(collection, default_term_expr, partition_names=[ut.default_partition_name])
          assert len(res) == 0
  
      def test_query_not_existed_partition(self, connect, collection):
          """
          target: test query on a not existed partition
          method: query on not existed partition
          expected: raise exception
          """
          connect.load_partitions(collection, [ut.default_partition_name])
          tag = ut.gen_unique_str()
          with pytest.raises(Exception):
              connect.query(collection, default_term_expr, partition_names=[tag])
  
      def test_query_partition_repeatedly(self, connect, collection):
          """
          target: test query repeatedly on partition
          method: query on partition twice
          expected: verify query result
          """
          connect.create_partition(collection, ut.default_tag)
          entities, ids = init_data(connect, collection, partition_names=ut.default_tag)
          assert len(ids) == ut.default_nb
          connect.load_partitions(collection, [ut.default_tag])
          res_one = connect.query(collection, default_term_expr, partition_names=[ut.default_tag])
          res_two = connect.query(collection, default_term_expr, partition_names=[ut.default_tag])
          assert res_one == res_two
  
      def test_query_another_partition(self, connect, collection):
          """
          target: test query another partition
          method: 1. insert entities into two partitions
                  2. query on one partition and query result empty
          expected: query result is empty
          """
          insert_entities_into_two_partitions_in_half(connect, collection)
          half = ut.default_nb // 2
          term_expr = f'{default_int_field_name} in [{half}]'
          res = connect.query(collection, term_expr, partition_names=[ut.default_tag])
          assert len(res) == 0
  
      def test_query_multi_partitions_multi_results(self, connect, collection):
          """
          target: test query on multi partitions and get multi results
          method: 1.insert entities into two partitions
                  2.query on two partitions and query multi result
          expected: query results from two partitions
          """
          entities, entities_2 = insert_entities_into_two_partitions_in_half(connect, collection)
          half = ut.default_nb // 2
          term_expr = f'{default_int_field_name} in [{half - 1}]'
          res = connect.query(collection, term_expr, partition_names=[ut.default_tag, ut.default_partition_name])
          assert len(res) == 1
          assert res[0][default_int_field_name] == entities[0]["values"][-1]
          term_expr = f'{default_int_field_name} in [{half}]'
          res = connect.query(collection, term_expr, partition_names=[ut.default_tag, ut.default_partition_name])
          assert len(res) == 1
          assert res[0][default_int_field_name] == entities_2[0]["values"][0]
  
      def test_query_multi_partitions_single_result(self, connect, collection):
          """
          target: test query on multi partitions and get single result
          method: 1.insert into two partitions
                  2.query on two partitions and query single result
          expected: query from two partitions and get single result
          """
          entities, entities_2 = insert_entities_into_two_partitions_in_half(connect, collection)
          half = ut.default_nb // 2
          term_expr = f'{default_int_field_name} in [{half}]'
          res = connect.query(collection, term_expr, partition_names=[ut.default_tag, ut.default_partition_name])
          assert len(res) == 1
          assert res[0][default_int_field_name] == entities_2[0]["values"][0]
  
  
  def insert_entities_into_two_partitions_in_half(connect, collection):
      """
      insert default entities into two partitions(default_tag and _default) in half(int64 and float fields values)
      :param connect: milvus connect
      :param collection: milvus created collection
      :return: entities of default_tag and entities_2 of _default
      """
      connect.create_partition(collection, ut.default_tag)
      half = ut.default_nb // 2
      entities, _ = init_data(connect, collection, nb=half, partition_names=ut.default_tag)
      vectors = ut.gen_vectors(half, ut.default_dim)
      entities_2 = [
          {"name": "int64", "type": DataType.INT64, "values": [i for i in range(half, ut.default_nb)]},
          {"name": "float", "type": DataType.FLOAT, "values": [float(i) for i in range(half, ut.default_nb)]},
          {"name": ut.default_float_vec_field_name, "type": DataType.FLOAT_VECTOR, "values": vectors}
      ]
      connect.insert(collection, entities_2)
      connect.flush([collection])
      connect.load_collection(collection)
      return entities, entities_2
  