feat: Add unit tests for run_flow_from_json with fake environment variables

src/backend/base/langflow/load/__init__.py

@@ -1,11 +1,12 @@
 from .load import aload_flow_from_json, arun_flow_from_json, load_flow_from_json, run_flow_from_json
-from .utils import get_flow, upload_file
+from .utils import get_flow, replace_tweaks_with_env, upload_file
 
 __all__ = [
     "aload_flow_from_json",
     "arun_flow_from_json",
     "get_flow",
     "load_flow_from_json",
+    "replace_tweaks_with_env",
     "run_flow_from_json",
     "upload_file",
 ]

src/backend/base/langflow/load/load.py

@@ -1,13 +1,14 @@
-import asyncio
 import json
+from io import StringIO
 from pathlib import Path
 
 from aiofile import async_open
-from dotenv import load_dotenv
+from dotenv import dotenv_values
 from loguru import logger
 
 from langflow.graph import Graph
 from langflow.graph.schema import RunOutputs
+from langflow.load.utils import replace_tweaks_with_env
 from langflow.logging.logger import configure
 from langflow.processing.process import process_tweaks, run_graph
 from langflow.utils.async_helpers import run_until_complete
@@ -49,14 +50,17 @@ async def aload_flow_from_json(
     configure(log_level=log_level, log_file=log_file_path, disable=disable_logs, async_file=True)
 
     # override env variables with .env file
-    if env_file:
-        await asyncio.to_thread(load_dotenv, env_file, override=True)
+    if env_file and tweaks is not None:
+        async with async_open(Path(env_file), encoding="utf-8") as f:
+            content = await f.read()
+            env_vars = dotenv_values(stream=StringIO(content))
+        tweaks = replace_tweaks_with_env(tweaks=tweaks, env_vars=env_vars)
 
     # Update settings with cache and components path
     await update_settings(cache=cache)
 
     if isinstance(flow, str | Path):
-        async with async_open(Path(flow).name, encoding="utf-8") as f:
+        async with async_open(Path(flow), encoding="utf-8") as f:
             content = await f.read()
             flow_graph = json.loads(content)
     # If input is a dictionary, assume it's a JSON object

src/backend/base/langflow/load/utils.py

@@ -99,5 +99,28 @@ def get_flow(url: str, flow_id: str):
         msg = f"Error retrieving flow: {e}"
         raise UploadError(msg) from e
 
-    msg = f"Error retrieving flow: {response.status_code}"
-    raise UploadError(msg)
+
+def replace_tweaks_with_env(tweaks: dict, env_vars: dict) -> dict:
+    """Replace keys in the tweaks dictionary with their corresponding environment variable values.
+
+    This function recursively traverses the tweaks dictionary and replaces any string keys
+    with their values from the provided environment variables. If a key's value is a dictionary,
+    the function will call itself to handle nested dictionaries.
+
+    Args:
+        tweaks (dict): A dictionary containing keys that may correspond to environment variable names.
+        env_vars (dict): A dictionary of environment variables where keys are variable names
+                         and values are their corresponding values.
+
+    Returns:
+        dict: The updated tweaks dictionary with keys replaced by their environment variable values.
+    """
+    for key, value in tweaks.items():
+        if isinstance(value, dict):
+            # Recursively replace in nested dictionaries
+            tweaks[key] = replace_tweaks_with_env(value, env_vars)
+        elif isinstance(value, str):
+            env_value = env_vars.get(value)  # Get the value from the provided environment variables
+            if env_value is not None:
+                tweaks[key] = env_value
+    return tweaks

src/backend/tests/conftest.py

@@ -103,6 +103,7 @@ def pytest_configure(config):
     pytest.VECTOR_STORE_PATH = data_path / "Vector_store.json"
     pytest.SIMPLE_API_TEST = data_path / "SimpleAPITest.json"
     pytest.MEMORY_CHATBOT_NO_LLM = data_path / "MemoryChatbotNoLLM.json"
+    pytest.ENV_VARIABLE_TEST = data_path / "env_variable_test.json"
     pytest.LOOP_TEST = data_path / "LoopTest.json"
     pytest.CODE_WITH_SYNTAX_ERROR = """
 def get_text():

src/backend/tests/data/env_variable_test.json

@@ -0,0 +1 @@
+{"id":"a7003613-8243-4f71-800c-6be1c4065518","data":{"nodes":[{"id":"Secret-zIbKs","type":"genericNode","position":{"x":397.9312192693087,"y":262.8483455882353},"data":{"type":"Secret","node":{"template":{"_type":"Component","code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langflow.custom import Component\nfrom langflow.io import SecretStrInput, Output\nfrom langflow.schema.message import Message\n\n\nclass SecretComponent(Component):\n    display_name = \"SecretComponent\"\n    description = \"SECURE.\"\n    icon = \"lock\"\n    name = \"Secret\"\n\n    inputs = [\n        SecretStrInput(\n            name=\"secret_key_input\",\n            display_name=\"Secret Key\",\n            info=\"The Secret to be reveald.\",\n            required=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Secret\", name=\"text\", method=\"text_response\"),\n    ]\n\n    def text_response(self) -> Message:\n        self.log(self.secret_key_input)\n        message = Message(\n            text=self.secret_key_input,\n        )\n        return message\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"secret_key_input":{"load_from_db":false,"required":true,"placeholder":"","show":true,"name":"secret_key_input","value":"","display_name":"Secret Key","advanced":false,"input_types":["Message"],"dynamic":false,"info":"The Secret to be reveald.","title_case":false,"password":true,"type":"str","_input_type":"SecretStrInput"}},"description":"SECURE.","icon":"lock","base_classes":["Message"],"display_name":"SecretComponent","documentation":"","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Message"],"selected":"Message","name":"text","display_name":"Secret","method":"text_response","value":"__UNDEFINED__","cache":true}],"field_order":["secret_key_input"],"beta":false,"edited":true,"metadata":{},"lf_version":"1.0.18"},"id":"Secret-zIbKs"},"selected":false,"width":384,"height":289,"positionAbsolute":{"x":397.9312192693087,"y":262.8483455882353},"dragging":false},{"id":"ChatOutput-u9cPC","type":"genericNode","position":{"x":863,"y":265.171875},"data":{"type":"ChatOutput","node":{"template":{"_type":"Component","code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n    name = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        BoolInput(\n            name=\"should_store_message\",\n            display_name=\"Store Messages\",\n            info=\"Store the message in the history.\",\n            value=True,\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n            value=MESSAGE_SENDER_AI,\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=MESSAGE_SENDER_NAME_AI,\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\",\n            display_name=\"Session ID\",\n            info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if (\n            self.session_id\n            and isinstance(message, Message)\n            and isinstance(message.text, str)\n            and self.should_store_message\n        ):\n            store_message(\n                message,\n                flow_id=self.graph.flow_id,\n            )\n            self.message.value = message\n\n        self.status = message\n        return message\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"data_template":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"data_template","value":"{text}","display_name":"Data Template","advanced":true,"input_types":["Message"],"dynamic":false,"info":"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.","title_case":false,"type":"str","_input_type":"MessageTextInput"},"input_value":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"input_value","value":"","display_name":"Text","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Message to be passed as output.","title_case":false,"type":"str","_input_type":"MessageTextInput"},"sender":{"trace_as_metadata":true,"options":["Machine","User"],"combobox":false,"required":false,"placeholder":"","show":true,"name":"sender","value":"Machine","display_name":"Sender Type","advanced":true,"dynamic":false,"info":"Type of sender.","title_case":false,"type":"str","_input_type":"DropdownInput"},"sender_name":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"sender_name","value":"AI","display_name":"Sender Name","advanced":true,"input_types":["Message"],"dynamic":false,"info":"Name of the sender.","title_case":false,"type":"str","_input_type":"MessageTextInput"},"session_id":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"session_id","value":"","display_name":"Session ID","advanced":true,"input_types":["Message"],"dynamic":false,"info":"The session ID of the chat. If empty, the current session ID parameter will be used.","title_case":false,"type":"str","_input_type":"MessageTextInput"},"should_store_message":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"should_store_message","value":true,"display_name":"Store Messages","advanced":true,"dynamic":false,"info":"Store the message in the history.","title_case":false,"type":"bool","_input_type":"BoolInput"}},"description":"Display a chat message in the Playground.","icon":"ChatOutput","base_classes":["Message"],"display_name":"Chat Output","documentation":"","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Message"],"selected":"Message","name":"message","display_name":"Message","method":"message_response","value":"__UNDEFINED__","cache":true}],"field_order":["input_value","should_store_message","sender","sender_name","session_id","data_template"],"beta":false,"edited":false,"metadata":{},"lf_version":"1.0.18"},"id":"ChatOutput-u9cPC"},"selected":false,"width":384,"height":289}],"edges":[{"source":"Secret-zIbKs","sourceHandle":"{œdataTypeœ:œSecretœ,œidœ:œSecret-zIbKsœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}","target":"ChatOutput-u9cPC","targetHandle":"{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-u9cPCœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"input_value","id":"ChatOutput-u9cPC","inputTypes":["Message"],"type":"str"},"sourceHandle":{"dataType":"Secret","id":"Secret-zIbKs","name":"text","output_types":["Message"]}},"id":"reactflow__edge-Secret-zIbKs{œdataTypeœ:œSecretœ,œidœ:œSecret-zIbKsœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-u9cPC{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-u9cPCœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}","animated":false,"className":""}],"viewport":{"x":11.839003462770279,"y":-83.83942756687532,"zoom":1.0894902752636453}},"description":"Engineered for Excellence, Built for Business.","name":"env_variable_test","last_tested_version":"1.0.18","endpoint_name":"env_variable_test","is_component":false}

src/backend/tests/unit/base/load/test_load.py

@@ -1,5 +1,8 @@
 import inspect
+import os
 
+import pytest
+from dotenv import load_dotenv
 from langflow.load import run_flow_from_json
 
 
@@ -26,5 +29,53 @@ def test_run_flow_from_json_params():
     params = func_spec.args + func_spec.kwonlyargs
     assert expected_params.issubset(params), "Not all expected parameters are present in run_flow_from_json"
 
-    # TODO: Add tests by loading a flow and running it need to text with fake llm and check if it returns the
-    #  correct output
+    # TODO: Add tests by loading a flow and running it need to text with fake llm and check if it
+    # returns the correct output
+
+
+@pytest.fixture
+def fake_env_file(tmp_path):
+    # Create a fake .env file
+    env_file = tmp_path / ".env"
+    env_file.write_text("TEST_OP=TESTWORKS")
+    return env_file
+
+
+def test_run_flow_with_fake_env(fake_env_file):
+    # Load the flow from the JSON file
+    # flow_file = Path("src/backend/tests/data/env_variable_test.json")
+    flow_file = pytest.ENV_VARIABLE_TEST
+    tweaks_dict = {"Secret-zIbKs": {"secret_key_input": "TEST_OP"}}
+
+    # Run the flow from JSON, providing the fake env file
+    result = run_flow_from_json(
+        flow=flow_file,
+        input_value="some_input_value",
+        env_file=str(fake_env_file),  # Pass the path of the fake env file
+        tweaks=tweaks_dict,
+    )
+    # Extract and check the output data
+    output_data = result[0].outputs[0].results["message"].data["text"]
+    assert output_data == "TESTWORKS"
+
+
+def test_run_flow_with_fake_env_tweaks(fake_env_file):
+    # Load the flow from the JSON file
+    # flow_file = Path("src/backend/tests/data/env_variable_test.json")
+    flow_file = pytest.ENV_VARIABLE_TEST
+
+    # Load env file and set up tweaks
+
+    load_dotenv(str(fake_env_file))
+    tweaks = {
+        "Secret-zIbKs": {"secret_key_input": os.environ["TEST_OP"]},
+    }
+    # Run the flow from JSON without passing the env_file
+    result = run_flow_from_json(
+        flow=flow_file,
+        input_value="some_input_value",
+        tweaks=tweaks,
+    )
+    # Extract and check the output data
+    output_data = result[0].outputs[0].results["message"].data["text"]
+    assert output_data == "TESTWORKS"