milvus/tests20/python_client/testcases/test_insert.py

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import time
import numpy as np
import pandas as pd
import pytest
from base.client_request import ApiReq
from utils.util_log import test_log as log
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
prefix = "insert"
default_schema = cf.gen_default_collection_schema()
default_binary_schema = cf.gen_default_binary_collection_schema()
class TestInsertParams(ApiReq):
""" Test case of Insert interface """
def teardown_method(self):
if self.collection_wrap is not None and self.collection_wrap.collection is not None:
self.collection_wrap.drop()
def setup_method(self):
pass
@pytest.fixture(scope="function", params=ct.get_invalid_strs)
def get_non_data_type(self, request):
if isinstance(request.param, list):
pytest.skip("list type is valid data type")
yield request.param
@pytest.fixture(scope="module", params=ct.get_invalid_strs)
def get_invalid_field_name(self, request):
if isinstance(request.param, (list, dict)):
pytest.skip()
yield request.param
@pytest.mark.tags(CaseLabel.L0)
@pytest.mark.xfail(reason="issue #5302")
def test_insert_dataframe_data(self):
"""
target: test insert DataFrame data
method: 1.create 2.insert dataframe data
expected: assert num entities
"""
self._connect()
nb = ct.default_nb
collection = self._collection()
df = cf.gen_default_dataframe_data(nb)
self.collection_wrap.insert(data=df)
assert collection.num_entities == nb
@pytest.mark.tags(CaseLabel.L0)
def test_insert_list_data(self):
"""
target: test insert list-like data
method: 1.create 2.insert list data
expected: assert num entities
"""
conn = self._connect()
nb = ct.default_nb
collection = self._collection()
data = cf.gen_default_list_data(nb)
self.collection_wrap.insert(data=data)
conn.flush([collection.name])
assert collection.num_entities == nb
@pytest.mark.tags(CaseLabel.L1)
def test_insert_non_data_type(self, get_non_data_type):
"""
target: test insert with non-dataframe, non-list data
method: insert with data (non-dataframe and non-list type)
expected: raise exception
"""
self._collection()
ex, _ = self.collection_wrap.insert(data=get_non_data_type)
assert "Datas must be list" in str(ex)
@pytest.mark.tags(CaseLabel.L0)
@pytest.mark.parametrize("data", [[], pd.DataFrame()])
def test_insert_empty_data(self, data):
"""
target: test insert empty data
method: insert empty
expected: raise exception
"""
self._collection()
ex, _ = self.collection_wrap.insert(data=data)
assert "Column cnt not match with schema" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_dataframe_only_columns(self):
"""
target: test insert with dataframe just columns
method: dataframe just have columns
expected: num entities is zero
"""
self._collection()
columns = [ct.default_int64_field_name, ct.default_float_vec_field_name]
df = pd.DataFrame(columns=columns)
ex, _ = self.collection_wrap.insert(data=df)
assert "Cannot infer schema from empty dataframe" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.xfail(reason="issue #5499")
def test_insert_empty_field_name_dataframe(self):
"""
target: test insert empty field name df
method: dataframe with empty column
expected: raise exception
"""
self._collection()
df = cf.gen_default_dataframe_data(10)
df.rename(columns={ct.default_int64_field_name: ' '}, inplace=True)
ex, _ = self.collection_wrap.insert(data=df)
assert "Field name should not be empty" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.xfail(reason="issue #5499")
def test_insert_invalid_field_name_dataframe(self, get_invalid_field_name):
"""
target: test insert with invalid dataframe data
method: insert with invalid field name dataframe
expected: raise exception
"""
self._collection()
df = cf.gen_default_dataframe_data(10)
df.rename(columns={ct.default_int64_field_name: get_invalid_field_name}, inplace=True)
log.info(df)
ex, _ = self.collection_wrap.insert(data=df)
log.error(str(ex))
def test_insert_dataframe_nan_value(self):
"""
target: test insert dataframe with nan value
method: insert dataframe with nan value
expected: todo
"""
pass
def test_insert_dataframe_index(self):
"""
target: test insert dataframe with index
method: insert dataframe with index
expected: todo
"""
pass
@pytest.mark.tags(CaseLabel.L0)
def test_insert_none(self):
"""
target: test insert None
method: data is None
expected: raise exception
"""
self._collection()
ids, _ = self.collection_wrap.insert(data=None)
assert len(ids) == 0
@pytest.mark.tags(CaseLabel.L0)
def test_insert_numpy_data(self):
"""
target: test insert numpy.ndarray data
method: 1.create by schema 2.insert data
expected: assert num_entities
"""
self._connect()
nb = 10
self._collection()
data = cf.gen_numpy_data(nb)
ex, _ = self.collection_wrap.insert(data=data)
assert "Data type not support numpy.ndarray" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.xfail(reason="issue #5302")
def test_insert_binary_dataframe(self):
"""
target: test insert binary dataframe
method: 1. create by schema 2. insert dataframe
expected: assert num_entities
"""
self._connect()
nb = ct.default_nb
collection = self._collection(schema=default_binary_schema)
df = cf.gen_default_binary_dataframe_data(nb)
self.collection_wrap.insert(data=df)
assert collection.num_entities == nb
@pytest.mark.tags(CaseLabel.L0)
@pytest.mark.xfail(reason="issue #5414")
def test_insert_binary_data(self):
"""
target: test insert list-like binary data
method: 1. create by schema 2. insert data
expected: assert num_entities
"""
self._connect()
nb = ct.default_nb
collection = self._collection(schema=default_binary_schema)
data = cf.gen_default_binary_list_data(nb)
self.collection_wrap.insert(data=data)
assert collection.num_entities == nb
@pytest.mark.tags(CaseLabel.L0)
def test_insert_single(self):
"""
target: test insert single
method: insert one entity
expected: verify num
"""
conn = self._connect()
collection = self._collection()
data = cf.gen_default_list_data(nb=1)
self.collection_wrap.insert(data=data)
conn.flush([collection.name])
assert collection.num_entities == 1
@pytest.mark.tags(CaseLabel.L1)
def test_insert_dim_not_match(self):
"""
target: test insert with not match dim
method: insert data dim not equal to schema dim
expected: raise exception
"""
self._connect()
nb = ct.default_nb
self._collection()
df = cf.gen_default_dataframe_data(nb, dim=129)
ex, _ = self.collection_wrap.insert(data=df)
message = "Collection field dim is {},but entities field dim is {}".format(ct.default_dim, 129)
assert message in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_binary_dim_not_match(self):
"""
target: test insert binary with dim not match
method: insert binary data dim not equal to schema
expected: raise exception
"""
self._connect()
nb = ct.default_nb
self._collection(schema=cf.gen_default_binary_collection_schema())
df = cf.gen_default_binary_dataframe_data(nb, dim=120)
ex, _ = self.collection_wrap.insert(data=df)
message = "Collection field dim is {},but entities field dim is {}".format(ct.default_dim, 129)
assert message in str(ex)
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.xfail(reason="issue #5499")
def test_insert_field_name_not_match(self):
"""
target: test insert field name not match
method: data field name not match schema
expected: raise exception
"""
self._collection()
df = cf.gen_default_dataframe_data(10)
df.rename(columns={ct.default_float_field_name: "int"}, inplace=True)
log.info(df)
ex, _ = self.collection_wrap.insert(data=df)
log.error(str(ex))
@pytest.mark.tags(CaseLabel.L1)
def test_insert_field_value_not_match(self):
"""
target: test insert data value not match
method: insert data value type not match schema
expected: raise exception
"""
self._collection()
nb = 10
df = cf.gen_default_dataframe_data(nb)
new_float_value = pd.Series(data=[float(i) for i in range(nb)], dtype="float64")
df.iloc[:, 1] = new_float_value
ex, _ = self.collection_wrap.insert(data=df)
assert "The types of schema and data do not match" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_value_less(self):
"""
target: test insert value less than other
method: int field value less than vec-field value
expected: raise exception
"""
self._collection()
nb = 10
int_values = [i for i in range(nb - 1)]
float_values = [np.float32(i) for i in range(nb)]
float_vec_values = cf.gen_vectors(nb, ct.default_dim)
data = [int_values, float_values, float_vec_values]
ex, _ = self.collection_wrap.insert(data=data)
assert "message=arrays must all be same length" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_vector_value_less(self):
"""
target: test insert vector value less than other
method: vec field value less than int field
expected: todo
"""
self._collection()
nb = 10
int_values = [i for i in range(nb)]
float_values = [np.float32(i) for i in range(nb)]
float_vec_values = cf.gen_vectors(nb - 1, ct.default_dim)
data = [int_values, float_values, float_vec_values]
ex, _ = self.collection_wrap.insert(data=data)
assert "arrays must all be same length" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_fields_more(self):
"""
target: test insert with fields more
method: field more than schema fields
expected: todo
"""
self._collection()
nb = ct.default_nb
df = cf.gen_default_dataframe_data(nb)
new_values = [i for i in range(nb)]
df.insert(3, 'new', new_values)
ex, _ = self.collection_wrap.insert(data=df)
assert "Column cnt not match with schema" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_fields_less(self):
"""
target: test insert with fields less
method: fields less than schema fields
expected: raise exception
"""
self._collection()
nb = ct.default_nb
df = cf.gen_default_dataframe_data(nb)
df.drop(ct.default_float_vec_field_name, axis=1, inplace=True)
ex, _ = self.collection_wrap.insert(data=df)
assert "Column cnt not match with schema" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_list_order_inconsistent_schema(self):
"""
target: test insert data fields order inconsistent with schema
method: insert list data, data fields order inconsistent with schema
expected: raise exception
"""
self._collection()
nb = 10
int_values = [i for i in range(nb)]
float_values = [np.float32(i) for i in range(nb)]
float_vec_values = cf.gen_vectors(nb, ct.default_dim)
data = [float_values, int_values, float_vec_values]
ex, _ = self.collection_wrap.insert(data=data)
assert "The types of schema and data do not match" in str(ex)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_dataframe_order_inconsistent_schema(self):
"""
target: test insert with dataframe fields inconsistent with schema
method: insert dataframe, and fields order inconsistent with schema
expected: assert num entities
"""
self._collection()
nb = 10
int_values = pd.Series(data=[i for i in range(nb)])
float_values = pd.Series(data=[float(i) for i in range(nb)], dtype="float32")
float_vec_values = cf.gen_vectors(nb, ct.default_dim)
df = pd.DataFrame({
ct.default_float_field_name: float_values,
ct.default_float_vec_field_name: float_vec_values,
ct.default_int64_field_name: int_values
})
ex, _ = self.collection_wrap.insert(data=df)
assert "The types of schema and data do not match" in str(ex)
class TestInsertOperation(ApiReq):
"""
******************************************************************
The following cases are used to test insert interface operations
******************************************************************
"""
def teardown_method(self):
if self.collection_wrap is not None and self.collection_wrap.collection is not None:
self.collection_wrap.drop()
def setup_method(self):
pass
@pytest.mark.tags(CaseLabel.L1)
def test_insert_without_connection(self):
"""
target: test insert without connection
method: insert after remove connection
expected: raise exception
"""
self._collection()
self.connection_wrap.remove_connection(ct.default_alias)
res_list, _ = self.connection_wrap.list_connections()
assert ct.default_alias not in res_list
data = cf.gen_default_list_data(10)
ex, _ = self.collection_wrap.insert(data=data)
assert "There is no connection with alias '{}'".format(ct.default_alias) in str(ex)
def test_insert_drop_collection(self):
"""
target: test insert and drop
method: insert data and drop collection
expected: verify collection if exist
"""
collection = self._collection()
collection_list, _ = self.utility_wrap.list_collections()
assert collection.name in collection_list
self.collection_wrap.drop()
collection_list, _ = self.utility_wrap.list_collections()
assert collection.name not in collection_list
def test_insert_create_index(self):
"""
target: test insert and create index
method: 1. insert 2. create index
expected: verify num entities and index
"""
pass
def test_insert_after_create_index(self):
"""
target: test insert after create index
method: 1. create index 2. insert data
expected: verify index and num entities
"""
pass
def test_insert_binary_after_index(self):
"""
target: test insert binary after index
method: 1.create index 2.insert binary data
expected: 1.index ok 2.num entities correct
"""
pass
def test_insert_search(self):
"""
target: test insert and search
method: 1.insert data 2.search
expected: verify search result
"""
pass
def test_insert_binary_search(self):
"""
target: test insert and search
method: 1.insert binary data 2.search
expected: search result correct
"""
pass
def test_insert_ids(self):
"""
target: test insert with ids
method: insert with ids field value
expected: 1.verify num entities 2.verify ids
"""
schema = cf.gen_default_collection_schema(primary_field=ct.default_int64_field_name)
collection = self._collection(schema=schema)
assert not collection.auto_id
assert collection.primary_field.name == ct.default_int64_field_name
data = cf.gen_default_list_data(ct.default_nb)
self.collection_wrap.insert(data=data)
time.sleep(1)
assert collection.num_entities == ct.default_nb
# TODO assert ids
def test_insert_ids_without_value(self):
"""
target: test insert ids value not match
method: insert without ids field value
expected: raise exception
"""
pass
def test_insert_same_ids(self):
"""
target: test insert ids field
method: insert with same ids
expected: num entities equal to nb
"""
pass
def test_insert_invalid_type_ids(self):
"""
target: test insert with non-int64 ids
method: insert ids field with non-int64 value
expected: raise exception
"""
pass
def test_insert_multi_threading(self):
"""
target: test concurrent insert
method: multi threads insert
expected: verify num entities
"""
pass
@pytest.mark.tags(CaseLabel.L1)
def test_insert_multi_times(self):
"""
target: test insert multi times
method: insert data multi times
expected: verify num entities
"""
conn = self._connect()
collection = self._collection()
for _ in range(ct.default_nb):
df = cf.gen_default_dataframe_data(1)
self.collection_wrap.insert(data=df)
conn.flush([collection.name])
assert collection.num_entities == ct.default_nb
class TestInsertAsync(ApiReq):
"""
******************************************************************
The following cases are used to test insert async
******************************************************************
"""
def test_insert_sync(self):
"""
target: test async insert
method: insert with async=True
expected: verify num entities
"""
pass
def test_insert_async_false(self):
"""
target: test insert with false async
method: async = false
expected: verify num entities
"""
pass
def test_insert_async_callback(self):
"""
target: test insert with callback func
method: insert with callback func
expected: verify num entities
"""
pass
def test_insert_async_long(self):
"""
target: test insert with async
method: insert 5w entities with callback func
expected: verify num entities
"""
pass
def test_insert_async_callback_timeout(self):
"""
target: test insert async with callback
method: insert 10w entities with timeout=1
expected: raise exception
"""
pass
def test_insert_async_invalid_data(self):
"""
target: test insert async with invalid data
method: insert async with invalid data
expected: raise exception
"""
pass
def test_insert_async_invalid_partition(self):
"""
target: test insert async with invalid partition
method: insert async with invalid partition
expected: raise exception
"""
pass