The event name was changed from "node" to "message" to better reflect the nature of the data being sent. The data being sent is a message response from the server, not a node in the graph.
🐛 fix(chat.py): fix StreamData class import statement
✨ feat(chat.py): add progress tracking and node building events to stream_build function
The unused import statement has been removed to improve code readability. The StreamData class import statement has been fixed to avoid errors. Progress tracking and node building events have been added to the stream_build function to provide more information to the user about the build process.
The StreamData model is added to represent the data that is streamed from the server. The __str__ method is added to improve the readability of the stream data by returning a formatted string that includes the event and data attributes.
🐛 fix(chat.py): catch exception when building graph and yield error message
When the flow_id is invalid, the yield statement should return an error message instead of data. Additionally, when building the graph, an exception could occur, so we added a try-except block to catch any exceptions and yield an error message instead of data.
The conditional statement in the update_flow function was incorrect. The if statement was checking for the opposite of what was intended. The fix changes the if statement to check for the correct condition.
✨ feat(chat.py): add progress logging to stream_build function
The variable node was renamed to vertex to improve semantics and consistency with the naming conventions. Progress logging was added to the stream_build function to provide feedback to the user on the progress of the build process.
🐛 fix(index.tsx): fix typo in setSuccessData function call
✨ feat(index.tsx): add success logging to handleBuild function
A typo in the setSuccessData function call was fixed. Success logging was added to the handleBuild function to provide feedback to the user on the success of the build process.
The input parameter now accepts a Path object in addition to a string or dictionary. This improves the flexibility of the function and allows for easier file handling.
The fix_memory_inputs function was refactored to reduce nesting and improve readability. The function now checks if the langchain_object has a memory attribute and if it is not None before proceeding. The try-except block was also refactored to reduce nesting.
✨ feat(process.py): add input validation to process_tweaks function
The process_tweaks function has been refactored to improve readability and maintainability. The apply_tweaks function has been added to apply the tweaks to the node. The validate_input function has been added to validate the input parameters. The process_tweaks function now raises a ValueError if the input is not in the expected format.
🔀 refactor(base.py): import Chain from langchain.chains.base instead of importing it from langflow.graph.vertex.types
🔀 refactor(process.py): remove print statement from process_tweaks function
🔀 refactor(process.py): change load_flow_from_json function signature to accept optional tweaks parameter
🔀 refactor(process.py): change return type of build method in Graph class from List[Vertex] to Chain
🧪 test(loading.py): add test case for loading a flow from a JSON file and applying tweaks
🧪 test(loading.py): remove unused import statement
The import statement for Chain in base.py is now more explicit and imports it from langchain.chains.base instead of importing it from langflow.graph.vertex.types. The load_flow_from_json function in process.py now accepts either a JSON file path or a JSON object. The print statement in process_tweaks function has been removed. The load_flow_from_json function in process.py now accepts an optional tweaks parameter. The return type of the build method in the Graph class has been changed from List[Vertex] to Chain. A new test case has been added to loading.py to test loading a flow from a JSON file and applying tweaks. An unused import statement has been removed from loading.py.
✨ feat(__main__.py): add support for running Langflow on MacOS and Linux using gunicorn
The changes add support for running Langflow on Windows by using uvicorn instead of gunicorn. This is because Windows doesn't support gunicorn. The changes also add support for running Langflow on MacOS and Linux using gunicorn. This is because MacOS requires an env variable to be set to use gunicorn.
The conditional statement was checking if "nodes" is in "graph_data['data']" instead of checking if "nodes" is in "graph_data". This fix ensures that the correct data is processed and avoids potential errors.
The only change in this commit is the removal of an unnecessary newline at the beginning of the file. This improves the code's readability and consistency.
🔥 chore(main.py): remove unused imports and variables
The `flow_data_store` variable in `chat.py` was missing a type hint, which was added to improve code readability and maintainability. In `main.py`, unused imports and variables were removed to improve code cleanliness.
✨ feat(main.py): remove static_path argument from create_app function
The fix to the issue where the app was not serving the index.html file when a 404 error occurred was done by adding an exception handler to the app that returns the index.html file when a 404 error occurs. The create_app function was modified to remove the static_path argument as it was not being used in the function.
✨ feat(__main__.py): add support for health check endpoint and use it to check server status
The `serve` function now checks if the specified port is in use and gets a free port if it is. This ensures that the server can run on a free port and avoids conflicts with other running applications. The `serve` function also now uses a health check endpoint to check the status of the server. The `setup_static_files` function now takes a `Path` object instead of a string for the static files directory. The `create_app` function now takes a `Path` object instead of a string for the static files directory.
🐛 fix(process.py): fix KeyError when processing tweaks on graph_data with missing "data" key
The try-except block added in endpoints.py catches any exceptions that occur when processing tweaks and logs them to the logger. This helps with debugging and identifying issues with the processing of tweaks. In process.py, a KeyError was fixed by checking if the "data" key exists in the graph_data dictionary before accessing the "nodes" key.
The constructor of VectorStoreRouterAgent expects a non-list object for vectorstoreroutertoolkit. However, in some cases, vectorstoreroutertoolkit is already a list. This commit fixes the issue by checking if vectorstoreroutertoolkit is a list and using it directly if it is.
The cachetools package is added as a dependency to improve caching. In chat.py, a ValueError is raised if no ID is provided in init_build to prevent errors. The flow_data_store dictionary is replaced with an LRUCache from cachetools to limit the size of the cache to 10 items. This improves performance by reducing the memory usage of the application.
📦 chore(pyproject.toml): add cachetools dependency to improve caching
🐛 fix(chat.py): raise ValueError if no ID is provided in init_build
🐛 fix(endpoints.py): add check for flow data before processing
🔨 refactor(process.py): add type hints to process_tweaks function
The get_flow_from_token function and HTTPBearer import are removed as they are not used in the code. A check for flow data is added before processing to avoid errors when the flow data is None. The process_tweaks function is updated to include type hints for the graph_data and tweaks parameters.
🔥 refactor(utils/validate.py): remove try-except block in create_function method
The pass statement in the BaseCache abstract method is redundant and can be removed. Similarly, the try-except block in the create_function method is not necessary as the exception is being suppressed.
The name and display_name of the InitializeAgentNode class have been changed to "AgentInitializer" and "AgentInitializer" respectively. This improves the readability of the code and makes it easier to understand the purpose of the class.
The "initialize_agent" key in the CUSTOM_AGENTS dictionary has been renamed to "AgentInitializer" to improve naming consistency with the other agents in the dictionary.
🔨 refactor(chains.py): comment out unused code block
The `from_method_nodes` dictionary in `base.py` has been updated to include the `LLMCheckerChain` class. This allows the `from_llm` method to be called on the `LLMCheckerChain` class.
The code block in `chains.py` that deals with the `PromptTemplate` field type has been commented out as it is currently unused. This is to prevent confusion and to keep the codebase clean.
The create_app function now accepts a static_path parameter that defaults to "static". The setup_static_files function is created to mount the static files directory to the app. A custom 404 handler is added to the app to return the index.html file when a 404 error occurs. This allows the app to serve static files such as HTML, CSS, and JavaScript files.
🚀 feat(__main__.py, main.py): add support for serving static files
✨ feat(__main__.py): create a setup_static_files function to mount the static files directory to the app
The `save_api_keys` variable has been renamed to `remove_api_keys` to improve the semantics of the code. The new variable name better reflects the functionality of the code, which is to remove API keys from the projects saved in the database.
🔧 chore(__main__.py): change save_api_keys to remove_api_keys to improve semantics
✨ feat(__main__.py): add save_api_keys parameter to serve command to allow users to save API keys in their projects
The update_settings function now accepts a save_api_keys parameter, which allows the user to specify whether or not to save API keys in their projects. The serve command now has a save_api_keys parameter that defaults to True, allowing users to save API keys in their projects. This feature improves the user experience by allowing them to save API keys for future use.
This commit adds a new function called `remove_api_keys` to the `utils.py` file. The function takes in a dictionary representing a flow and removes any API keys from the flow data. The function iterates through each node in the flow and checks if the node contains any API keys. If an API key is found, the function sets the value of the key to `None`. This function is useful for removing sensitive information from flow data before it is stored or transmitted.
The `remove_api_keys` function is now called on the `flow_data` dictionary if the `save_api_keys` setting is False. This ensures that sensitive information is not saved in the database.
The condition to show the password field was not working for the 'tokens' field name. The condition has been updated to include 'tokens' in the field name and show the password field.
🔨 refactor(parameterComponent): remove unused imports and refactor onChange function to handleOnNewValue
✨ feat(tabsContext): add tabsState and setTabsState to TabsContextType and TabsProvider
🔨 refactor(flowSettingsModal): refactor handleSaveFlow function to update flow and setTabsState with isPending false
The update_flow endpoint now returns a FlowRead response model instead of FlowReadWithStyle. The parameterComponent file has been refactored to remove unused imports and to use a handleOnNewValue function to handle onChange events. The TabsContextType and TabsProvider have been updated to include tabsState and setTabsState. The flowSettingsModal has been refactored to update the flow and setTabsState with isPending false.
🔨 refactor(extraSidebarComponent): add tabsState and setTabsState to TabsContextType
🐛 fix(extraSidebarComponent): disable save button when flow is not pending
🐛 fix(extraSidebarComponent): update flow state after saving
The TabsContextType now includes tabsState and setTabsState to allow for the management of the state of each tab. The save button is now disabled when the flow is not pending. The flow state is now updated after saving to reflect the changes made.
The description of CombineDocsChainNode was updated to reflect the actual functionality of the node. The node is now used to load a question answering chain instead of constructing a chain from combined documents.
The openai_api_version field value is no longer set as it is not needed. The password field is now set to False for fields not containing 'key' or 'token' in their name to improve security.
🐛 fix(llms.py): remove setting of openai_api_version field value
🔧 chore(base.py): fix typo in docstring
The fix in chat.py ensures that an error message is yielded when an exception occurs during stream_build. This helps to provide more information to the client-side when an error occurs. The typo in base.py's docstring is fixed to improve readability.
- Rename `VectorStoreAgent` to `Vector store agent` in `custom.py`
- Replace "Construct a sql agent from an LLM and tools." with "Construct an SQL agent from an LLM and tools." in `custom.py`
- Update descriptions of `SQLAgentNode`, `TimeTravelGuideChainNode`, `CombineDocsChainNode`, and `ToolNode` in related files
- Increase width of `ExtraSidebarComponent` container in `index.tsx` from 52 to 56
The build_template function is now outside of the DocumentLoaderFrontNode class to improve code organization and make it more modular. This change also makes it easier to reuse the function in other parts of the codebase.
