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test_weaviate.py
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test_weaviate.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
from airflow.providers.weaviate.operators.weaviate import WeaviateIngestOperator
class TestWeaviateIngestOperator:
@pytest.fixture
def operator(self):
return WeaviateIngestOperator(
task_id="weaviate_task",
conn_id="weaviate_conn",
class_name="my_class",
input_json={"data": "sample_data"},
)
def test_constructor(self, operator):
assert operator.conn_id == "weaviate_conn"
assert operator.class_name == "my_class"
assert operator.input_data == {"data": "sample_data"}
assert operator.batch_params == {}
assert operator.hook_params == {}
@patch("airflow.providers.weaviate.operators.weaviate.WeaviateIngestOperator.log")
def test_execute_with_input_json(self, mock_log, operator):
operator.hook.batch_data = MagicMock()
operator.execute(context=None)
operator.hook.batch_data.assert_called_once_with(
"my_class", {"data": "sample_data"}, vector_col="Vector", **{}
)
mock_log.debug.assert_called_once_with("Input data: %s", {"data": "sample_data"})