| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249 | import osimport timeimport unittestfrom dify_client.client import ChatClient, CompletionClient, DifyClient, KnowledgeBaseClientAPI_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()
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