diff --git a/tests/cli_run/samples/1-simple-graph/langgraph.json b/tests/cli_run/samples/1-simple-graph/langgraph.json new file mode 100644 index 0000000..171f11f --- /dev/null +++ b/tests/cli_run/samples/1-simple-graph/langgraph.json @@ -0,0 +1,9 @@ +{ + "dependencies": [ + "." + ], + "graphs": { + "agent": "./main.py:graph" + }, + "env": ".env" +} \ No newline at end of file diff --git a/tests/cli_run/samples/1-simple-graph/main.py b/tests/cli_run/samples/1-simple-graph/main.py new file mode 100644 index 0000000..e58530e --- /dev/null +++ b/tests/cli_run/samples/1-simple-graph/main.py @@ -0,0 +1,59 @@ +import random +from typing import Literal + +from langgraph.checkpoint.memory import MemorySaver +from langgraph.graph import END, START, StateGraph +from langgraph.types import interrupt +from typing_extensions import TypedDict + + +# State +class State(TypedDict): + graph_state: str + + +# Conditional edge +def decide_mood(state) -> Literal["node_2", "node_3"]: + # Often, we will use state to decide on the next node to visit + user_input = state["graph_state"] + + # Here, let's just do a 50 / 50 split between nodes 2, 3 + if random.random() < 0.5: + # 50% of the time, we return Node 2 + return "node_2" + + # 50% of the time, we return Node 3 + return "node_3" + + +# Nodes +def node_1(state): + print("---Node 1---") + + return {"graph_state": state["graph_state"] + " I am"} + + +def node_2(state): + print("---Node 2---") + return {"graph_state": state["graph_state"] + " happy!"} + + +def node_3(state): + print("---Node 3---") + return {"graph_state": state["graph_state"] + " sad!"} + + +builder = StateGraph(State) +builder.add_node("node_1", node_1) +builder.add_node("node_2", node_2) +builder.add_node("node_3", node_3) + +builder.add_edge(START, "node_1") +builder.add_edge("node_1", "node_2") +builder.add_edge("node_2", END) +builder.add_edge("node_3", END) + + +memory = MemorySaver() + +graph = builder.compile(checkpointer=memory) diff --git a/tests/cli_run/samples/1-simple-graph/pyproject.toml b/tests/cli_run/samples/1-simple-graph/pyproject.toml new file mode 100644 index 0000000..e0fac4f --- /dev/null +++ b/tests/cli_run/samples/1-simple-graph/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "c-host-in-uipath" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +authors = [{ name = "Eduard Stanculet", email = "eduard.stanculet@uipath.com" }] +requires-python = ">=3.13" +dependencies = [ + "langchain-anthropic>=0.3.10", + "langchain-community>=0.3.21", + "langgraph>=0.3.29", + "tavily-python>=0.5.4", + "uipath>=2.0.8", + "uipath-langchain>=0.0.88", +] diff --git a/tests/cli_run/samples/1-simple-graph/uipath.json b/tests/cli_run/samples/1-simple-graph/uipath.json new file mode 100644 index 0000000..e3962bc --- /dev/null +++ b/tests/cli_run/samples/1-simple-graph/uipath.json @@ -0,0 +1,18 @@ +{ + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "dcc7a309-fbcc-4999-af4f-2a75a844b49a", + "type": "agent", + "input": { + "type": "string", + "title": "graph_state" + }, + "output": {} + } + ], + "bindings": { + "version": "2.0", + "resources": [] + } +} \ No newline at end of file diff --git a/tests/cli_run/test_run_sample.py b/tests/cli_run/test_run_sample.py new file mode 100644 index 0000000..0eb15bc --- /dev/null +++ b/tests/cli_run/test_run_sample.py @@ -0,0 +1,23 @@ +import os +import sys + +from dotenv import load_dotenv + +from uipath_langchain._cli.cli_run import langgraph_run_middleware + +load_dotenv() + + +def test_dummy(): + test_folder_path = os.path.dirname(os.path.abspath(__file__)) + sample_path = os.path.join(test_folder_path, "samples", "1-simple-graph") + + sys.path.append(sample_path) + os.chdir(sample_path) + result = langgraph_run_middleware( + entrypoint=None, + input='{ "graph_state": "GET Assets API does not enforce proper permissions Assets.View" }', + resume=False, + ) + + assert result.error_message is None diff --git a/tests/conftest.py b/tests/conftest.py index 8e60586..f1a9573 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,95 +1,95 @@ -import logging -import os -from os import environ as env -from typing import Generator, Optional - -import httpx -import pytest -from langchain.embeddings import CacheBackedEmbeddings -from langchain.globals import set_llm_cache -from langchain.storage import LocalFileStore -from langchain_community.cache import SQLiteCache - -from uipath_langchain.embeddings import UiPathOpenAIEmbeddings -from uipath_langchain.utils._settings import UiPathCachedPathsSettings - -test_cache_settings = UiPathCachedPathsSettings( - CACHED_COMPLETION_DB="tests/llm_cache/tests_uipath_cache.sqlite", - CACHED_EMBEDDINGS_DIR="tests/llm_cache/cached_embeddings", -) - - -def get_from_uipath_url(): - try: - url = os.getenv("UIPATH_URL") - if url: - return "/".join(url.split("/", 3)[:3]) - except Exception: - return None - return None - - -def get_token(): - url_get_token = f"{get_from_uipath_url().rstrip('/')}/identity_/connect/token" - - os.environ["UIPATH_REQUESTING_PRODUCT"] = "uipath-python-sdk" - os.environ["UIPATH_REQUESTING_FEATURE"] = "langgraph-agent" - os.environ["UIPATH_TESTS_CACHE_LLMGW"] = "true" - - token_credentials = { - "client_id": env.get("UIPATH_CLIENT_ID"), - "client_secret": env.get("UIPATH_CLIENT_SECRET"), - "grant_type": "client_credentials", - } - - try: - with httpx.Client() as client: - response = client.post(url_get_token, data=token_credentials) - response.raise_for_status() - res_json = response.json() - token = res_json.get("access_token") - - if not token: - pytest.skip("Authentication token is empty or missing") - except (httpx.HTTPError, ValueError, KeyError) as e: - pytest.skip(f"Failed to obtain authentication token: {str(e)}") - - return token - - -@pytest.fixture(autouse=True) -def setup_test_env(): - env["UIPATH_ACCESS_TOKEN"] = get_token() - - -@pytest.fixture(scope="session") -def cached_llmgw_calls() -> Generator[Optional[SQLiteCache], None, None]: - if not os.environ.get("UIPATH_TESTS_CACHE_LLMGW"): - yield None - else: - logging.info("Setting up LLMGW cache") - db_path = test_cache_settings.cached_completion_db - os.makedirs(os.path.dirname(db_path), exist_ok=True) - cache = SQLiteCache(database_path=db_path) - set_llm_cache(cache) - yield cache - set_llm_cache(None) - return - - -@pytest.fixture(scope="session") -def cached_embedder() -> Generator[Optional[CacheBackedEmbeddings], None, None]: - if not os.environ.get("UIPATH_TESTS_CACHE_LLMGW"): - yield None - else: - logging.info("Setting up embeddings cache") - model = "text-embedding-3-large" - embedder = CacheBackedEmbeddings.from_bytes_store( - underlying_embeddings=UiPathOpenAIEmbeddings(model=model), - document_embedding_cache=LocalFileStore( - test_cache_settings.cached_embeddings_dir - ), - namespace=model, - ) - yield embedder - return +# import logging +# import os +# from os import environ as env +# from typing import Generator, Optional + +# import httpx +# import pytest +# from langchain.embeddings import CacheBackedEmbeddings +# from langchain.globals import set_llm_cache +# from langchain.storage import LocalFileStore +# from langchain_community.cache import SQLiteCache + +# from uipath_langchain.embeddings import UiPathOpenAIEmbeddings +# from uipath_langchain.utils._settings import UiPathCachedPathsSettings + +# test_cache_settings = UiPathCachedPathsSettings( +# CACHED_COMPLETION_DB="tests/llm_cache/tests_uipath_cache.sqlite", +# CACHED_EMBEDDINGS_DIR="tests/llm_cache/cached_embeddings", +# ) + + +# def get_from_uipath_url(): +# try: +# url = os.getenv("UIPATH_URL", "https://cloud.uipath.com/dummyOrg/dummyTennant/") +# if url: +# return "/".join(url.split("/", 3)[:3]) +# except Exception: +# return "https://cloud.uipath.com/dummyOrg/dummyTennant/" +# return None + + +# def get_token(): +# url_get_token = f"{get_from_uipath_url().rstrip('/')}/identity_/connect/token" + +# os.environ["UIPATH_REQUESTING_PRODUCT"] = "uipath-python-sdk" +# os.environ["UIPATH_REQUESTING_FEATURE"] = "langgraph-agent" +# os.environ["UIPATH_TESTS_CACHE_LLMGW"] = "true" + +# token_credentials = { +# "client_id": env.get("UIPATH_CLIENT_ID"), +# "client_secret": env.get("UIPATH_CLIENT_SECRET"), +# "grant_type": "client_credentials", +# } + +# try: +# with httpx.Client() as client: +# response = client.post(url_get_token, data=token_credentials) +# response.raise_for_status() +# res_json = response.json() +# token = res_json.get("access_token") + +# if not token: +# pytest.skip("Authentication token is empty or missing") +# except (httpx.HTTPError, ValueError, KeyError) as e: +# pytest.skip(f"Failed to obtain authentication token: {str(e)}") + +# return token + + +# @pytest.fixture(autouse=True) +# def setup_test_env(): +# env["UIPATH_ACCESS_TOKEN"] = get_token() + + +# @pytest.fixture(scope="session") +# def cached_llmgw_calls() -> Generator[Optional[SQLiteCache], None, None]: +# if not os.environ.get("UIPATH_TESTS_CACHE_LLMGW"): +# yield None +# else: +# logging.info("Setting up LLMGW cache") +# db_path = test_cache_settings.cached_completion_db +# os.makedirs(os.path.dirname(db_path), exist_ok=True) +# cache = SQLiteCache(database_path=db_path) +# set_llm_cache(cache) +# yield cache +# set_llm_cache(None) +# return + + +# @pytest.fixture(scope="session") +# def cached_embedder() -> Generator[Optional[CacheBackedEmbeddings], None, None]: +# if not os.environ.get("UIPATH_TESTS_CACHE_LLMGW"): +# yield None +# else: +# logging.info("Setting up embeddings cache") +# model = "text-embedding-3-large" +# embedder = CacheBackedEmbeddings.from_bytes_store( +# underlying_embeddings=UiPathOpenAIEmbeddings(model=model), +# document_embedding_cache=LocalFileStore( +# test_cache_settings.cached_embeddings_dir +# ), +# namespace=model, +# ) +# yield embedder +# return diff --git a/uv.lock b/uv.lock index 651f6ae..67caa29 100644 --- a/uv.lock +++ b/uv.lock @@ -1,4 +1,5 @@ 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