import time import pytest from fastapi.testclient import TestClient from langflow.interface.custom.directory_reader.directory_reader import DirectoryReader from langflow.interface.tools.constants import CUSTOM_TOOLS from langflow.services.auth.utils import get_password_hash from langflow.services.database.models.api_key.model import ApiKey from langflow.services.database.utils import session_getter from langflow.services.deps import get_db_service, get_settings_service from langflow.template.frontend_node.chains import TimeTravelGuideChainNode def run_post(client, flow_id, headers, post_data): response = client.post( f"api/v1/process/{flow_id}", headers=headers, json=post_data, ) assert response.status_code == 200, response.json() return response.json() # Helper function to poll task status def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1): for _ in range(max_attempts): task_status_response = client.get( href, headers=headers, ) if task_status_response.status_code == 200 and task_status_response.json()["status"] == "SUCCESS": return task_status_response.json() time.sleep(sleep_time) return None # Return None if task did not complete in time PROMPT_REQUEST = { "name": "string", "template": "string", "frontend_node": { "template": {}, "description": "string", "base_classes": ["string"], "name": "", "display_name": "", "documentation": "", "custom_fields": {}, "output_types": [], "field_formatters": { "formatters": {"openai_api_key": {}}, "base_formatters": { "kwargs": {}, "optional": {}, "list": {}, "dict": {}, "union": {}, "multiline": {}, "show": {}, "password": {}, "default": {}, "headers": {}, "dict_code_file": {}, "model_fields": { "MODEL_DICT": { "OpenAI": [ "text-davinci-003", "text-davinci-002", "text-curie-001", "text-babbage-001", "text-ada-001", ], "ChatOpenAI": [ "gpt-4-turbo-preview", "gpt-4-0125-preview", "gpt-4-1106-preview", "gpt-4-vision-preview", "gpt-3.5-turbo-0125", "gpt-3.5-turbo-1106", ], "Anthropic": [ "claude-v1", "claude-v1-100k", "claude-instant-v1", "claude-instant-v1-100k", "claude-v1.3", "claude-v1.3-100k", "claude-v1.2", "claude-v1.0", "claude-instant-v1.1", "claude-instant-v1.1-100k", "claude-instant-v1.0", ], "ChatAnthropic": [ "claude-v1", "claude-v1-100k", "claude-instant-v1", "claude-instant-v1-100k", "claude-v1.3", "claude-v1.3-100k", "claude-v1.2", "claude-v1.0", "claude-instant-v1.1", "claude-instant-v1.1-100k", "claude-instant-v1.0", ], } }, }, }, }, } @pytest.fixture def created_api_key(active_user): hashed = get_password_hash("random_key") api_key = ApiKey( name="test_api_key", user_id=active_user.id, api_key="random_key", hashed_api_key=hashed, ) db_manager = get_db_service() with session_getter(db_manager) as session: if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first(): return existing_api_key session.add(api_key) session.commit() session.refresh(api_key) return api_key # def test_process_flow_invalid_api_key(client, flow, monkeypatch): # # Mock de process_graph_cached # from langflow.api.v1 import endpoints # from langflow.services.database.models.api_key import crud # settings_service = get_settings_service() # settings_service.auth_settings.AUTO_LOGIN = False # async def mock_process_graph_cached(*args, **kwargs): # return Result(result={}, session_id="session_id_mock") # def mock_update_total_uses(*args, **kwargs): # return created_api_key # monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) # monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) # headers = {"x-api-key": "invalid_api_key"} # post_data = { # "inputs": {"key": "value"}, # "tweaks": None, # "clear_cache": False, # "session_id": None, # } # response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data) # assert response.status_code == 403 # assert response.json() == {"detail": "Invalid or missing API key"} # def test_process_flow_invalid_id(client, monkeypatch, created_api_key): # async def mock_process_graph_cached(*args, **kwargs): # return Result(result={}, session_id="session_id_mock") # from langflow.api.v1 import endpoints # monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) # api_key = created_api_key.api_key # headers = {"x-api-key": api_key} # post_data = { # "inputs": {"key": "value"}, # "tweaks": None, # "clear_cache": False, # "session_id": None, # } # invalid_id = uuid.uuid4() # response = client.post(f"api/v1/process/{invalid_id}", headers=headers, json=post_data) # assert response.status_code == 404 # assert f"Flow {invalid_id} not found" in response.json()["detail"] # def test_process_flow_without_autologin(client, flow, monkeypatch, created_api_key): # # Mock de process_graph_cached # from langflow.api.v1 import endpoints # from langflow.services.database.models.api_key import crud # settings_service = get_settings_service() # settings_service.auth_settings.AUTO_LOGIN = False # async def mock_process_graph_cached(*args, **kwargs): # return Result(result={}, session_id="session_id_mock") # def mock_process_graph_cached_task(*args, **kwargs): # return Result(result={}, session_id="session_id_mock") # # The task function is ran like this: # # if not self.use_celery: # # return None, await task_func(*args, **kwargs) # # if not hasattr(task_func, "apply"): # # raise ValueError(f"Task function {task_func} does not have an apply method") # # task = task_func.apply(args=args, kwargs=kwargs) # # result = task.get() # # return task.id, result # # So we need to mock the task function to return a task object # # and then mock the task object to return a result # # maybe a named tuple would be better here # task = namedtuple("task", ["id", "get"]) # mock_process_graph_cached_task.apply = lambda *args, **kwargs: task( # id="task_id_mock", get=lambda: Result(result={}, session_id="session_id_mock") # ) # def mock_update_total_uses(*args, **kwargs): # return created_api_key # monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) # monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) # monkeypatch.setattr(endpoints, "process_graph_cached_task", mock_process_graph_cached_task) # api_key = created_api_key.api_key # headers = {"x-api-key": api_key} # # Dummy POST data # post_data = { # "inputs": {"input": "value"}, # "tweaks": None, # "clear_cache": False, # "session_id": None, # } # # Make the request to the FastAPI TestClient # response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data) # # Check the response # assert response.status_code == 200, response.json() # assert response.json()["result"] == {}, response.json() # assert response.json()["session_id"] == "session_id_mock", response.json() # def test_process_flow_fails_autologin_off(client, flow, monkeypatch): # # Mock de process_graph_cached # from langflow.api.v1 import endpoints # from langflow.services.database.models.api_key import crud # settings_service = get_settings_service() # settings_service.auth_settings.AUTO_LOGIN = False # async def mock_process_graph_cached(*args, **kwargs): # return Result(result={}, session_id="session_id_mock") # async def mock_update_total_uses(*args, **kwargs): # return created_api_key # monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) # monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) # headers = {"x-api-key": "api_key"} # # Dummy POST data # post_data = { # "inputs": {"key": "value"}, # "tweaks": None, # "clear_cache": False, # "session_id": None, # } # # Make the request to the FastAPI TestClient # response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data) # # Check the response # assert response.status_code == 403, response.json() # assert response.json() == {"detail": "Invalid or missing API key"} def test_get_all(client: TestClient, logged_in_headers): response = client.get("api/v1/all", headers=logged_in_headers) assert response.status_code == 200 settings = get_settings_service().settings dir_reader = DirectoryReader(settings.COMPONENTS_PATH[0]) files = dir_reader.get_files() # json_response is a dict of dicts all_names = [component_name for _, components in response.json().items() for component_name in components] json_response = response.json() # We need to test the custom nodes assert len(all_names) > len(files) assert "Prompt" in json_response["prompts"] # All CUSTOM_TOOLS(dict) should be in the response assert all(tool in json_response["tools"] for tool in CUSTOM_TOOLS.keys()) def test_post_validate_code(client: TestClient): # Test case with a valid import and function code1 = """ import math def square(x): return x ** 2 """ response1 = client.post("api/v1/validate/code", json={"code": code1}) assert response1.status_code == 200 assert response1.json() == {"imports": {"errors": []}, "function": {"errors": []}} # Test case with an invalid import and valid function code2 = """ import non_existent_module def square(x): return x ** 2 """ response2 = client.post("api/v1/validate/code", json={"code": code2}) assert response2.status_code == 200 assert response2.json() == { "imports": {"errors": ["No module named 'non_existent_module'"]}, "function": {"errors": []}, } # Test case with a valid import and invalid function syntax code3 = """ import math def square(x) return x ** 2 """ response3 = client.post("api/v1/validate/code", json={"code": code3}) assert response3.status_code == 200 assert response3.json() == { "imports": {"errors": []}, "function": {"errors": ["expected ':' (, line 4)"]}, } # Test case with invalid JSON payload response4 = client.post("api/v1/validate/code", json={"invalid_key": code1}) assert response4.status_code == 422 # Test case with an empty code string response5 = client.post("api/v1/validate/code", json={"code": ""}) assert response5.status_code == 200 assert response5.json() == {"imports": {"errors": []}, "function": {"errors": []}} # Test case with a syntax error in the code code6 = """ import math def square(x) return x ** 2 """ response6 = client.post("api/v1/validate/code", json={"code": code6}) assert response6.status_code == 200 assert response6.json() == { "imports": {"errors": []}, "function": {"errors": ["expected ':' (, line 4)"]}, } VALID_PROMPT = """ I want you to act as a naming consultant for new companies. Here are some examples of good company names: - search engine, Google - social media, Facebook - video sharing, YouTube The name should be short, catchy and easy to remember. What is a good name for a company that makes {product}? """ INVALID_PROMPT = "This is an invalid prompt without any input variable." def test_valid_prompt(client: TestClient): PROMPT_REQUEST["template"] = VALID_PROMPT response = client.post("api/v1/validate/prompt", json=PROMPT_REQUEST) assert response.status_code == 200 assert response.json()["input_variables"] == ["product"] def test_invalid_prompt(client: TestClient): PROMPT_REQUEST["template"] = INVALID_PROMPT response = client.post( "api/v1/validate/prompt", json=PROMPT_REQUEST, ) assert response.status_code == 200 assert response.json()["input_variables"] == [] @pytest.mark.parametrize( "prompt,expected_input_variables", [ ("{color} is my favorite color.", ["color"]), ("The weather is {weather} today.", ["weather"]), ("This prompt has no variables.", []), ("{a}, {b}, and {c} are variables.", ["a", "b", "c"]), ], ) def test_various_prompts(client, prompt, expected_input_variables): TimeTravelGuideChainNode().to_dict() PROMPT_REQUEST["template"] = prompt response = client.post("api/v1/validate/prompt", json=PROMPT_REQUEST) assert response.status_code == 200 assert response.json()["input_variables"] == expected_input_variables def test_get_vertices_flow_not_found(client, logged_in_headers): response = client.get("/api/v1/build/nonexistent_id/vertices", headers=logged_in_headers) assert response.status_code == 500 # Or whatever status code you've set for invalid ID def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_headers): flow_id = added_flow_with_prompt_and_history["id"] response = client.get(f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers) assert response.status_code == 200 assert "ids" in response.json() # The response should contain the list in this order # ['ConversationBufferMemory-Lu2Nb', 'PromptTemplate-5Q0W8', 'ChatOpenAI-vy7fV', 'LLMChain-UjBh1'] # The important part is before the - (ConversationBufferMemory, PromptTemplate, ChatOpenAI, LLMChain) ids = [inner_id.split("-")[0] for _id in response.json()["ids"] for inner_id in _id] assert ids == [ "ChatOpenAI", "PromptTemplate", "ConversationBufferMemory", "LLMChain", ] def test_build_vertex_invalid_flow_id(client, logged_in_headers): response = client.post("/api/v1/build/nonexistent_id/vertices/vertex_id", headers=logged_in_headers) assert response.status_code == 500 def test_build_vertex_invalid_vertex_id(client, added_flow_with_prompt_and_history, logged_in_headers): flow_id = added_flow_with_prompt_and_history["id"] response = client.post(f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers) assert response.status_code == 500 # TODO: Add flow with new components # def test_build_all_vertices_in_sequence_with_chat_input( # client, added_flow_chat_input, logged_in_headers # ): # flow_id = added_flow_chat_input["id"] # # First, get all the vertices in the correct sequence # response = client.get( # f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers # ) # assert response.status_code == 200 # assert "ids" in response.json() # vertex_ids = response.json()["ids"] # # Now, iterate through each vertex and build it # for layer in vertex_ids: # for vertex_id in layer: # response = client.post( # f"/api/v1/build/{flow_id}/vertices/{vertex_id}", # headers=logged_in_headers, # ) # json_response = response.json() # assert ( # response.status_code == 200 # ), f"Failed at vertex {vertex_id}: {json_response}" # assert "valid" in json_response # assert json_response["valid"], json_response["params"] # def test_build_all_vertices_in_sequence_with_two_outputs( # client, added_flow_two_outputs, logged_in_headers # ): # """This tests the case where a node has two outputs, one of which is Text and the other (in this case) is # a LLMChain. We need to make sure the correct output is passed in both cases.""" # flow_id = added_flow_two_outputs["id"] # # First, get all the vertices in the correct sequence # response = client.get( # f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers # ) # assert response.status_code == 200 # assert "ids" in response.json() # vertex_ids = response.json()["ids"] # # Now, iterate through each vertex and build it # for vertex_id in vertex_ids: # response = client.post( # f"/api/v1/build/{flow_id}/vertices/{vertex_id}", headers=logged_in_headers # ) # json_response = response.json() # assert ( # response.status_code == 200 # ), f"Failed at vertex {vertex_id}: {json_response}" # assert "valid" in json_response # assert json_response["valid"], json_response["params"] # def test_basic_chat_in_process(client, flow, created_api_key): # # Run the /api/v1/process/{flow_id} endpoint # headers = {"x-api-key": created_api_key.api_key} # post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} # response = client.post( # f"api/v1/process/{flow.get('id')}", # headers=headers, # json=post_data, # ) # assert response.status_code == 200, response.json() # # Check the response # assert "Gabriel" in response.json()["result"]["text"] # # session_id should be returned # assert "session_id" in response.json() # assert response.json()["session_id"] is not None # # New request with the same session_id # # asking "What is my name?" should return "Gabriel" # post_data = { # "inputs": {"text": "What is my name?"}, # "session_id": response.json()["session_id"], # } # response = client.post( # f"api/v1/process/{flow.get('id')}", # headers=headers, # json=post_data, # ) # assert response.status_code == 200, response.json() # assert "Gabriel" in response.json()["result"]["text"] # def test_basic_chat_different_session_ids(client, flow, created_api_key): # # Run the /api/v1/process/{flow_id} endpoint # headers = {"x-api-key": created_api_key.api_key} # post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} # response = client.post( # f"api/v1/process/{flow.get('id')}", # headers=headers, # json=post_data, # ) # assert response.status_code == 200, response.json() # # Check the response # assert "Gabriel" in response.json()["result"]["text"] # # session_id should be returned # assert "session_id" in response.json() # assert response.json()["session_id"] is not None # session_id1 = response.json()["session_id"] # # New request with a different session_id # # asking "What is my name?" should return "Gabriel" # post_data = { # "inputs": {"text": "What is my name?"}, # } # response = client.post( # f"api/v1/process/{flow.get('id')}", # headers=headers, # json=post_data, # ) # assert response.status_code == 200, response.json() # assert "Gabriel" not in response.json()["result"]["text"] # assert session_id1 != response.json()["session_id"] # def test_basic_chat_with_two_session_ids_and_names(client, flow, created_api_key): # headers = {"x-api-key": created_api_key.api_key} # flow_id = flow.get("id") # names = ["Gabriel", "John"] # session_ids = [] # for name in names: # post_data = {"inputs": {"text": f"Hi, My name is {name}"}} # response_json = run_post(client, flow_id, headers, post_data) # assert name in response_json["result"]["text"] # assert "session_id" in response_json # assert response_json["session_id"] is not None # session_ids.append(response_json["session_id"]) # for i, name in enumerate(names): # post_data = { # "inputs": {"text": "What is my name?"}, # "session_id": session_ids[i], # } # response_json = run_post(client, flow_id, headers, post_data) # assert name in response_json["result"]["text"] # @pytest.mark.async_test # def test_vector_store_in_process( # distributed_client, added_vector_store, created_api_key # ): # # Run the /api/v1/process/{flow_id} endpoint # headers = {"x-api-key": created_api_key.api_key} # post_data = {"inputs": {"input": "What is Langflow?"}} # response = distributed_client.post( # f"api/v1/process/{added_vector_store.get('id')}", # headers=headers, # json=post_data, # ) # assert response.status_code == 200, response.json() # # Check the response # assert "Langflow" in response.json()["result"]["output"] # # session_id should be returned # assert "session_id" in response.json() # assert response.json()["session_id"] is not None # Test function without loop # @pytest.mark.async_test # def test_async_task_processing(distributed_client, flow, created_api_key): # headers = {"x-api-key": created_api_key.api_key} # post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} # flow = flow.model_dump() # # Run the /api/v1/process/{flow_id} endpoint with sync=False # response = distributed_client.post( # f"api/v1/process/{flow.get('id')}", # headers=headers, # json={**post_data, "sync": False}, # ) # assert response.status_code == 200, response.json() # # Extract the task ID from the response # task = response.json().get("task") # task_id = task.get("id") # task_href = task.get("href") # assert task_id is not None # assert task_href is not None # assert task_href == f"api/v1/task/{task_id}" # # Polling the task status using the helper function # task_status_json = poll_task_status(distributed_client, headers, task_href) # assert task_status_json is not None, "Task did not complete in time" # # Validate that the task completed successfully and the result is as expected # assert "result" in task_status_json, task_status_json # assert "text" in task_status_json["result"], task_status_json["result"] # assert "Gabriel" in task_status_json["result"]["text"], task_status_json["result"] # ! Deactivating this until updating the test # Test function without loop # @pytest.mark.async_test # def test_async_task_processing_vector_store(client, added_vector_store, created_api_key): # headers = {"x-api-key": created_api_key.api_key} # post_data = {"inputs": {"input": "How do I upload examples?"}} # # Run the /api/v1/process/{flow_id} endpoint with sync=False # response = client.post( # f"api/v1/process/{added_vector_store.get('id')}", # headers=headers, # json={**post_data, "sync": False}, # ) # assert response.status_code == 200, response.json() # assert "result" in response.json() # assert "FAILURE" not in response.json()["result"] # # Extract the task ID from the response # task = response.json().get("task") # task_id = task.get("id") # task_href = task.get("href") # assert task_id is not None # assert task_href is not None # assert task_href == f"api/v1/task/{task_id}" # # Polling the task status using the helper function # task_status_json = poll_task_status(client, headers, task_href) # assert task_status_json is not None, "Task did not complete in time" # # Validate that the task completed successfully and the result is as expected # assert "result" in task_status_json, task_status_json # assert "output" in task_status_json["result"], task_status_json["result"] # assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]