import os import time import unittest from dify_client.client import ( ChatClient, CompletionClient, DifyClient, KnowledgeBaseClient, ) API_KEY = os.environ.get("API_KEY") APP_ID = os.environ.get("APP_ID") API_BASE_URL = os.environ.get("API_BASE_URL", "https://api.dify.ai/v1") FILE_PATH_BASE = os.path.dirname(__file__) class TestKnowledgeBaseClient(unittest.TestCase): def setUp(self): self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL) self.README_FILE_PATH = os.path.abspath( os.path.join(FILE_PATH_BASE, "../README.md") ) self.dataset_id = None self.document_id = None self.segment_id = None self.batch_id = None def _get_dataset_kb_client(self): self.assertIsNotNone(self.dataset_id) return KnowledgeBaseClient( API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id ) def test_001_create_dataset(self): response = self.knowledge_base_client.create_dataset(name="test_dataset") data = response.json() self.assertIn("id", data) self.dataset_id = data["id"] self.assertEqual("test_dataset", data["name"]) # the following tests require to be executed in order because they use # the dataset/document/segment ids from the previous test self._test_002_list_datasets() self._test_003_create_document_by_text() time.sleep(1) self._test_004_update_document_by_text() # self._test_005_batch_indexing_status() time.sleep(1) self._test_006_update_document_by_file() time.sleep(1) self._test_007_list_documents() self._test_008_delete_document() self._test_009_create_document_by_file() time.sleep(1) self._test_010_add_segments() self._test_011_query_segments() self._test_012_update_document_segment() self._test_013_delete_document_segment() self._test_014_delete_dataset() def _test_002_list_datasets(self): response = self.knowledge_base_client.list_datasets() data = response.json() self.assertIn("data", data) self.assertIn("total", data) def _test_003_create_document_by_text(self): client = self._get_dataset_kb_client() response = client.create_document_by_text("test_document", "test_text") data = response.json() self.assertIn("document", data) self.document_id = data["document"]["id"] self.batch_id = data["batch"] def _test_004_update_document_by_text(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) response = client.update_document_by_text( self.document_id, "test_document_updated", "test_text_updated" ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) self.batch_id = data["batch"] def _test_005_batch_indexing_status(self): client = self._get_dataset_kb_client() response = client.batch_indexing_status(self.batch_id) data = response.json() self.assertEqual(response.status_code, 200) def _test_006_update_document_by_file(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) response = client.update_document_by_file( self.document_id, self.README_FILE_PATH ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) self.batch_id = data["batch"] def _test_007_list_documents(self): client = self._get_dataset_kb_client() response = client.list_documents() data = response.json() self.assertIn("data", data) def _test_008_delete_document(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) response = client.delete_document(self.document_id) data = response.json() self.assertIn("result", data) self.assertEqual("success", data["result"]) def _test_009_create_document_by_file(self): client = self._get_dataset_kb_client() response = client.create_document_by_file(self.README_FILE_PATH) data = response.json() self.assertIn("document", data) self.document_id = data["document"]["id"] self.batch_id = data["batch"] def _test_010_add_segments(self): client = self._get_dataset_kb_client() response = client.add_segments( self.document_id, [{"content": "test text segment 1"}] ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) segment = data["data"][0] self.segment_id = segment["id"] def _test_011_query_segments(self): client = self._get_dataset_kb_client() response = client.query_segments(self.document_id) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) def _test_012_update_document_segment(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.segment_id) response = client.update_document_segment( self.document_id, self.segment_id, {"content": "test text segment 1 updated"}, ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) segment = data["data"] self.assertEqual("test text segment 1 updated", segment["content"]) def _test_013_delete_document_segment(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.segment_id) response = client.delete_document_segment(self.document_id, self.segment_id) data = response.json() self.assertIn("result", data) self.assertEqual("success", data["result"]) def _test_014_delete_dataset(self): client = self._get_dataset_kb_client() response = client.delete_dataset() self.assertEqual(204, response.status_code) class TestChatClient(unittest.TestCase): def setUp(self): self.chat_client = ChatClient(API_KEY) def test_create_chat_message(self): response = self.chat_client.create_chat_message( {}, "Hello, World!", "test_user" ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_remote_url(self): files = [ {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} ] response = self.chat_client.create_chat_message( {}, "Describe the picture.", "test_user", files=files ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_local_file(self): files = [ { "type": "image", "transfer_method": "local_file", "upload_file_id": "your_file_id", } ] response = self.chat_client.create_chat_message( {}, "Describe the picture.", "test_user", files=files ) self.assertIn("answer", response.text) def test_get_conversation_messages(self): response = self.chat_client.get_conversation_messages( "test_user", "your_conversation_id" ) self.assertIn("answer", response.text) def test_get_conversations(self): response = self.chat_client.get_conversations("test_user") self.assertIn("data", response.text) class TestCompletionClient(unittest.TestCase): def setUp(self): self.completion_client = CompletionClient(API_KEY) def test_create_completion_message(self): response = self.completion_client.create_completion_message( {"query": "What's the weather like today?"}, "blocking", "test_user" ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_remote_url(self): files = [ {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} ] response = self.completion_client.create_completion_message( {"query": "Describe the picture."}, "blocking", "test_user", files ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_local_file(self): files = [ { "type": "image", "transfer_method": "local_file", "upload_file_id": "your_file_id", } ] response = self.completion_client.create_completion_message( {"query": "Describe the picture."}, "blocking", "test_user", files ) self.assertIn("answer", response.text) class TestDifyClient(unittest.TestCase): def setUp(self): self.dify_client = DifyClient(API_KEY) def test_message_feedback(self): response = self.dify_client.message_feedback( "your_message_id", "like", "test_user" ) self.assertIn("success", response.text) def test_get_application_parameters(self): response = self.dify_client.get_application_parameters("test_user") self.assertIn("user_input_form", response.text) def test_file_upload(self): file_path = "your_image_file_path" file_name = "panda.jpeg" mime_type = "image/jpeg" with open(file_path, "rb") as file: files = {"file": (file_name, file, mime_type)} response = self.dify_client.file_upload("test_user", files) self.assertIn("name", response.text) if __name__ == "__main__": unittest.main()