The filter parameter name was ambiguous and could be interpreted in different ways. Renaming it to filter_messages makes it clear that it is used to filter chat messages.
🔥 refactor(custom.py): remove unused import of SQL_FORMAT_INSTRUCTIONS
🔥 refactor(custom_lists.py): remove unused import of SQLDatabase and utility_type_to_cls_dict
🔥 refactor(utilities/base.py): remove unused import of utility_type_to_cls_dict
🔥 refactor(utils/util.py): remove unused function build_template_from_parameters
The changes made are mostly removing unused imports and renaming a parameter for clarity. The import of SQL_FORMAT_INSTRUCTIONS was removed as it was not being used. The function build_template_from_parameters was removed as it was not being used.
✨ feat(base.py): add support for SQLDatabase utility and filter utilities according to settings.utilities
🎨 style(frontend_node/base.py): add display_name to fields
🎨 style(frontend_node/utilities.py): format field values and types
The import statement for UtilitiesFrontendNode was incorrect, causing an import error. The import statement was corrected to import from the correct module.
Support for SQLDatabase utility was added to the type_to_loader_dict dictionary. The dictionary is now filtered according to the settings.utilities list.
The display_name attribute was added to fields in the FrontendNode class to improve the readability of the frontend.
The format_field method in the UtilitiesFrontendNode class was updated to format field values and types. The method now converts field.field_type to a list if it is a Literal type and formats field.value if it is a dictionary.
The description of the SQLAgentNode has been updated to reflect its new implementation, which now constructs a SQL agent from an LLM and tools instead of a Vector Store Router. This change was made to improve the accuracy of the description and to better reflect the functionality of the node.
The `format` script has been added to the `package.json` file in the `frontend` directory. This script uses `prettier` to format all files with the extensions `.js`, `.jsx`, `.ts`, `.tsx`, `.json`, and `.md` in the `src` directory. This ensures that the codebase is consistent and follows a standard formatting style.
🔥 refactor(custom_lists.py): remove unused import of vectorstores
The import of deepcopy in nodes.py and vectorstores in custom_lists.py are not used in the codebase and can be safely removed to improve code readability and maintainability.
Weaviate has been added to the list of vectorstores in the config.yaml file. A TODO comment has been added to the nodes.py file to fix the integration with Weaviate. Weaviate requires the weaviate_url to be passed as it is not part of the class or from_texts method. The add_extra_fields method needs to be fixed to include the weaviate_url parameter.
This commit extracts common field attributes to variables and sets them accordingly. The basic_fields and advanced_fields variables are used to set the show and advanced attributes of the fields. The API Key field is now displayed as "API Key" and its value is hidden. The location field now has a default value of ":memory:" and its placeholder is also set to ":memory:". The password attribute of the key fields is set to False.
Issue Implement Qdrant #361
🐛 fix(langflow): remove unused imports in base.py files
The variable node in LangChainTypeCreator was causing a type error, so a type ignore was added to fix the issue. Additionally, unused imports were removed from both base.py files.
The process_field method in the TemplateFieldCreator class is not used anywhere in the codebase and is therefore removed to improve code readability and maintainability.
This commit refactors the FrontendNode.format_field() method to improve its readability and maintainability. The method now uses helper methods to handle specific field types and values, and to determine whether a field should be shown, be a password field, or be multiline. The method also uses a dictionary to handle special fields and their respective handlers.
✨ feat(config.yaml): add Qdrant vectorstore and RequestsWrapper to the config.yaml file
The config.yaml file has been updated with new documentloaders, memories, prompts, textsplitters, toolkits, utilities, and vectorstores. The Qdrant vectorstore has been added to the vectorstores section. The RequestsWrapper has been added to the wrappers section.
🐛 fix(nodes.py): remove deepcopying of certain objects to improve performance
🐛 fix(loading.py): add error handling for empty documents in instantiate_textsplitter
The is_first_message logic in chat_manager.py was not correctly identifying the first message. The fix in this commit changes the comparison to <= 1 instead of == 0. In nodes.py, deepcopying of certain objects was removed to improve performance. This was done because deepcopying was not necessary for these objects. In loading.py, error handling was added to handle empty documents in instantiate_textsplitter. This was done to prevent errors when the source provided did not load correctly or was empty.
✨ feat(__main__.py): add serve_on_jcloud function to deploy Langflow server on Jina AI Cloud
🐛 fix(config.yaml): remove duplicate entries and fix indentation
The update_settings function now accepts a dev flag to enable running the app in development mode. The serve_on_jcloud function has been added to deploy the Langflow server on Jina AI Cloud. The config.yaml file has been cleaned up by removing duplicate entries and fixing indentation.
🔨 refactor(vector_store/base.py): refactor VectorstoreCreator to use import_class from langflow.interface.importing.utils
The `vectorstores_type_to_cls_dict` variable was not being used, so it was removed. The `VectorstoreCreator` class was refactored to use the `import_class` function from `langflow.interface.importing.utils` instead of importing it directly. This improves the code's readability and maintainability.
## Dynamic Font Size for ButtonBox Component
### Description
The ButtonBox component, which is used in the examples modal, has been
enhanced to have a dynamic font size that adjusts based on the length of
the text and the dimensions of its parent element. This improvement
ensures that the text within the ButtonBox component remains readable
and properly fits within its container.
### Changes Made
- Added a new `fontSize` state variable to track the font size within
the ButtonBox component.
- Utilized the `useEffect` hook to calculate and update the font size
dynamically.
- Implemented logic to check for both vertical and horizontal overflow
of the text within the parent container.
- Decreased the font size incrementally until the text fits within the
parent element's dimensions.
- Updated the component to apply the calculated font size to the text
element.
### Testing Done
- Manually tested the ButtonBox component with various text lengths and
parent container dimensions.
- Verified that the font size was adjusted correctly to fit the text
within the parent element without overflowing.
🐛 fix(base.py): correctly handle nested lists in Node.build() method
✨ feat(vector_store): add VectorStoreFrontendNode to handle vector store templates
🐛 fix(util.py): add build_template_from_method to correctly build templates from class methods
The configuration file now includes two new vector stores, DocArrayHnswSearch and DocArrayInMemorySearch. The Node.build() method now correctly handles nested lists. A new VectorStoreFrontendNode has been added to handle vector store templates. The build_template_from_method function has been added to correctly build templates from class methods.
Issue #335
- Modified UI styles in the app, making text more legible and buttons more visually appealing
- Changed chat trigger button to a gradient blue background to improve visibility and user experience
