🐛 fix(base.py): call the method to remove unwanted base classes before converting the frontend node to a dict
The `process_base_classes` method is added to the `FrontendNode` class to remove unwanted base classes from the list of base classes. This method iterates over the base classes and filters out any classes that are present in the `CLASSES_TO_REMOVE` list. The method is then called before converting the frontend node to a dictionary representation in the `to_dict` method to ensure that the unwanted base classes are not included in the final output.
The `add_extra_base_classes` method is added to the `LLMFrontendNode` class. This method checks if the "BaseLLM" class is already present in the `base_classes` list and appends it if not. This change allows for easier extensibility by providing a way to add additional base classes to the `LLMFrontendNode` class.
The `from_method_nodes` dictionary is added to the `RetrieverCreator` class in order to map the "MultiQueryRetriever" node to the "from_llm" method. This refactor improves the readability and maintainability of the code by explicitly defining the mapping between nodes and methods.
🚀 feat(loading.py): implement the ability to instantiate retrievers based on node type and class object
The `instantiate_based_on_type` function now includes a new condition to handle the instantiation of retrievers. The `instantiate_retriever` function is introduced to handle the specific logic for creating retrievers. This change allows for the dynamic creation of retrievers based on the provided node type and class object.
✨ feat(utils.py): add support for importing retriever module based on retriever name
The `import_retriever` function is added to the `utils.py` module to allow importing the retriever module based on the retriever name. This function uses the `import_module` function from the `importlib` module to dynamically import the retriever module from the `langchain.retrievers` package. This enhances the modularity and extensibility of the codebase by providing a convenient way to import retrievers based on their names.
The RetrieverVertex class is added to the list of available vertex types in the langflow.graph.vertex.types module. This allows for the creation of vertices that represent retrievers in the graph.
The import statements for vertex types in the constants.py file have been refactored to import from langflow.graph.vertex.types as types. This change improves the readability and maintainability of the code by making it clear where the vertex types are coming from.
🐛 fix(chat.py): fix incorrect key used to retrieve graph_data from flow_data_store
The BuildStatus.IN_PROGRESS constant is changed to BuildStatus.STARTED to provide a more accurate representation of the flow status. Additionally, the incorrect key "data" is replaced with "graph_data" when retrieving the graph data from the flow_data_store dictionary.
✨ feat(chatMessage): improve rendering of multi-line messages
The `convert` variable is now imported before being used to convert ANSI to HTML. Additionally, the `DOMPurify` library is imported and used to sanitize the HTML content before rendering it, preventing potential XSS attacks. The rendering of multi-line messages has been improved by splitting the message by newline characters and rendering each line separately with a line break.
The dompurify package is added as a dependency to the frontend package.json file. This package is needed for sanitizing HTML to prevent cross-site scripting (XSS) attacks.
The Search icon has been renamed to FileSearch to provide a more accurate representation of its purpose. This change improves clarity and ensures that the icon name aligns with its actual functionality.
🐛 fix(util.py): handle non-string types in format_dict function
The base retriever class is added to provide a common interface for all retrievers in the language chain. The frontend node class for retrievers is also added to handle the formatting of fields specific to retrievers.
In the util.py file, a fix is made to handle non-string types in the format_dict function. Previously, if the type of a field was not a string, an error would occur. This fix ensures that the type is converted to a string before further processing.
The __init__.py file is added to the retrievers directory to make it a Python package. This allows the directory to be recognized as a module and enables importing of modules and submodules within the retrievers directory.
The type dictionary in the listing.py file now includes a "retrievers" key, which contains a list of retriever creators. This allows for the inclusion of retrievers as a supported type in the application.
🔀 refactor(types.py): add langchain_types_dict as a separate variable to improve code readability and maintainability
The import statement in `endpoints.py` has been updated to import `langchain_types_dict` instead of `build_langchain_types_dict` for consistency with the variable name. This change improves code readability and maintainability.
In `types.py`, a new variable `langchain_types_dict` has been added as a separate variable to store the result of `build_langchain_types_dict()`. This change improves code readability and makes it easier to understand the purpose of the variable.
🔧 chore(settings.py): add retrievers attribute to Settings class
The config.yaml file now includes a documentation link for the MultiQueryRetriever in the retrievers section. This link provides additional information on how to use the MultiQueryRetriever. In the settings.py file, the Settings class now includes a retrievers attribute to store retriever-related settings. This allows for easier management and configuration of retrievers in the application.
💄 style(NodeModal): remove unused import and variable to clean up code
The import and variable name for `nodeIconsLucide` has been updated to improve code readability. The unused import and variable `nodeIcons` and `toNormalCase` have been removed to clean up the code.
🎨 style(utils.ts): reorganize nodeColors and nodeNames objects to improve readability and maintainability
The changes in this commit remove unused imports and icons from the `utils.ts` file, which helps improve code cleanliness and reduces the bundle size. Additionally, the `nodeColors` and `nodeNames` objects have been reorganized to improve readability and maintainability.
💡 refactor(base.py): The field formatting logic in the FrontendNode class has been refactored into a separate class called FieldFormatters. This improves code organization and separation of concerns, making it easier to maintain and extend the field formatting functionality in the future.
The trailing whitespace has been removed for consistency and readability. The unused import of `DEFAULT_CONNECTION_STRING` from `langchain.memory.chat_message_histories.postgres` has been removed. The `PostgresChatMessageHistoryFrontendNode` now has a default value for the `connection_string` field, which is set to `DEFAULT_CONNECTION_STRING`. This ensures that the field has a default value when creating instances of the class.
🔧 chore(memories.py): remove trailing whitespace and unused import
🔧 refactor(field_formatters.py): refactor field formatters for template frontend_node
The commit adds a new file `field_formatters.py` to the `frontend_node/formatter` directory in the `langflow/template` backend. This file contains multiple field formatters for the template frontend_node. The formatters handle various formatting tasks such as formatting field names, setting field options, handling special fields, and formatting field types. The commit aims to improve the code organization and maintainability by separating the field formatting logic into dedicated formatters.
The base.py file is a new addition to the project. It introduces the FieldFormatter class, which is an abstract base class (ABC) for formatting template fields. This class provides a format() method that takes a TemplateField object as input and is meant to be implemented by subclasses. This addition allows for the creation of custom field formatters in the project.
The "RetrievalQA" memory field in the template frontend node is updated to have the "show" and "required" properties set to False. This change is made to hide the memory field and make it optional. Additionally, the "advanced" property is set to False for all fields, and the "password" property is set to False for fields containing the word "key" in their name.
The unnecessary imports have been removed from the chat.py file to improve code cleanliness and readability. The init_build endpoint in the chat.py file has been updated to include the flow_id as a path parameter instead of extracting it from the graph_data dictionary. This change allows for a more explicit and consistent API design.
🔧 chore(chat.py): remove unnecessary imports and reformat code for better readability
The import statement for the BuildStatus enum in the schemas module has been updated to ensure the correct import. Additionally, a new "status" field has been added to the flow_data_store dictionary to track the build status of flows. The status is set to BuildStatus.IN_PROGRESS when a flow is being built, BuildStatus.SUCCESS when the build is successful, and BuildStatus.FAILURE when there is an error during the build process. This allows for better tracking and management of flow builds.
🐛 fix(chat.py): change import statement for BuildStatus in schemas module
The BuildStatus enum is added to represent the different statuses that a build can have: SUCCESS, FAILURE, and IN_PROGRESS. This enum will be used to provide a more structured and consistent way of handling build statuses in the application.
The `instantiate_textsplitter` function has been refactored to improve readability and remove unnecessary code. The condition for creating the `text_splitter` object has been simplified and the `separator_type` parameter is now removed from the `params` dictionary if it exists. Additionally, the `language` parameter is now passed as an instance of the `Language` class from the `langchain.text_splitter` module. This change ensures that the `text_splitter` object is created correctly and the `split_documents` method is called with the appropriate parameters.
The options list for the separator_type field in the TextSplittersFrontendNode class has been extracted into a variable called options. This improves code readability and allows for easier modification and sorting of the options list.
The documentation link for ConversationBufferMemory in the memories section has been updated to point to the correct URL "https://python.langchain.com/docs/modules/memory/how_to/buffer". This change ensures that users can access the correct documentation for using ConversationBufferMemory.
🐛 fix(loading.py): handle case where separator_type is not provided in params
The first fix ensures that if the metadata is an empty dict, it will not be added to the documents if they already have metadata. This prevents overwriting existing metadata.
The second fix handles the case where the separator_type is not provided in the params. In this case, the text_splitter will be instantiated using the class_object and the params as is.
The noopener and noreferrer attributes were added to the documentation link to improve security by preventing the linked page from having access to the window.opener object and to prevent the referrer header from being sent to the linked page, respectively.
🐛 fix(nodeToolbarComponent): fix documentation link not working when no documentation is provided
The button colors and icons have been updated to improve visibility and consistency. The delete and copy buttons now have a darker background color when hovered over. The edit button now has a rounded right corner and a lighter background color when there are no nodes present. The documentation button now shows a "Coming Soon" tooltip when no documentation is provided and has a muted color. The documentation link now works correctly even when no documentation is provided.
The delayDuration prop was removed from all ShadTooltip components in the ExtraSidebar component. This improves the user experience by removing the delay before the tooltip is displayed.
The required indicator is now next to the title, which improves readability and makes it easier to see which parameters are required. The documentation tooltip has been simplified to only show the documentation link, which improves the user experience by reducing clutter. Unused imports have been removed to improve code quality.
🔨 refactor(parameterComponent): move required indicator next to title
The ShadTooltipComponent has been refactored to destructure the props and add types to improve readability and maintainability. The ShadTooltipProps type has been added to the types/components/index.ts file to define the expected props for the ShadTooltipComponent. The delayDuration, side, content, and children props are now destructured from the props object and have their respective types defined.
🔥 refactor(manager.py): remove unnecessary blank line at the end of the file
The package version has been updated to 0.2.3 in the pyproject.toml file. This is a chore as it does not affect the functionality of the package. The blank line at the end of the manager.py file has been removed as it is unnecessary and does not add any value to the code. This is a refactor as it improves the code readability.
The variable name static_files_dir was changed to improve semantics. It is now more clear that it is a directory path. An optional static_files_dir parameter was added to the setup_app function to allow for a directory path to be passed in. This allows for more flexibility in serving static files.
🐛 fix(__main__.py): fix static_files_dir variable name to improve semantics
The first change removes an extra blank line in the ChatManager class. The second change updates the try_setting_streaming_options function to use the ChatConfig class to set the streaming option instead of hardcoding it. This makes the code more modular and easier to maintain.
