🐛 fix(custom.py): fix indentation of class_template dictionary to improve readability
🐛 fix(custom.py): fix indentation of class dictionary to improve readability
🐛 fix(custom.py): fix indentation of _handle_function method to improve readability
🐛 fix(custom.py): fix indentation of transform_list method to improve readability
🐛 fix(custom.py): fix indentation of extract_class_info method to improve readability
🐛 fix(custom.py): fix indentation of _class_template_validation method to improve readability
🐛 fix(custom.py): fix indentation of build_langchain_template_custom_component method to improve readability
🐛 fix(custom.py): fix indentation of add_new_custom_field method to improve readability
🐛 fix(custom.py): fix indentation of add_code_field method to improve readability
🐛 fix(custom.py): fix indentation of extract_type_from_optional method to improve readability
🐛 fix(custom.py): fix indentation of build_langchain_template_custom_component method to improve readability
🔥 chore(custom.py): remove unused imports and variables
✨ feat(custom.py): add support for splitting a string by ':' or '=' and padding with None until length is 3 in _split_string method
✨ feat(custom.py): add support for transforming a list of strings by splitting each string and padding with None in transform_list method
✨ feat(custom.py): add support for extracting the type from a string formatted as "Optional[<type>]" in extract_type_from_optional method
✨ feat(custom.py): add support for passing field_value and field_required parameters to add_new_custom_field method
✨ feat(custom.py): add support for passing field_value and field_required parameters to build_langchain_template_custom_component method
✨ feat(custom.py): add support for passing field_value and field_required parameters to add_new_custom_field method
✨ feat(custom.py): add support for passing field_value and field_required parameters to build_langchain_template_custom_component method
✨ feat(custom.py): add support for passing field_value and field_required parameters to add_new_custom_field method
✨ feat(custom.py): add support for passing field_value and field_required parameters to build_langchain_template_custom_component method
✨ feat(custom.py): add support for passing field_value and field_required parameters to add_new_custom_field method
✨ feat(custom.py): add support for
✨ feat(custom.py): add NotImplementedError to the build method to indicate that it needs to be implemented in subclasses
🚧 chore(test_custom_component.py): add test cases for various methods in the CustomComponent class to improve test coverage and ensure code correctness
The `process_base_classes` method in the `FrontendNode` class is no longer used and can be safely removed to improve code readability and maintainability.
This commit adds the postCustomComponent function to the API controller. It allows for uploading custom components by sending a POST request to `/api/v1/custom_component` with the code as a parameter.
Merge remote-tracking branch 'origin/form_io' into python_custom_node_component
- Updated the README files to correct the spelling of "Langflow" in various places.
- Added a new `.env.example` file for reference and configuration.
- Updated the CONTRIBUTING.md file to use "Langflow" instead of "LangFlow".
- Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL.
- Updated the README file to use "Langflow" instead of "LangFlow" and corrected the formatting of the table of contents.
- Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option.
- Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform.
- Updated the "Creating Flows" section in the README file to use "Langflow" instead of "LangFlow" and corrected the link to the LangChain components.
- Updated the "Contributing" section in the README file to use "Langflow" instead of "LangFlow" and corrected the link to the contributing guidelines.
- Updated the "License" section in the README file to use "Langflow" instead of "LangFlow".
- Updated the version of the "anyio" package in the poetry.lock file to 3.7.1.
Merge remote-tracking branch 'origin/form_io' into python_custom_node_component
- Updated the README files to correct the spelling of "Langflow" in various places.
- Added a new `.env.example` file for reference and configuration.
- Updated the CONTRIBUTING.md file to use "Langflow" instead of "Langflow".
- Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL.
- Updated the README file to use "Langflow" instead of "Langflow" and corrected the formatting of the table of contents.
- Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option.
- Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform.
- Updated the "Creating Flows" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the LangChain components.
- Updated the "Contributing" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the contributing guidelines.
- Updated the "License" section in the README file to use "Langflow" instead of "Langflow".
- Updated the version of the "anyio" package in the poetry.lock file to 3.7.1.
Merge remote-tracking branch 'origin/form_io' into python_custom_node_component
- Updated the README files to correct the spelling of "Langflow" in various places.
- Added a new `.env.example` file for reference and configuration.
- Updated the CONTRIBUTING.md file to use "Langflow" instead of "Langflow".
- Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL.
- Updated the README file to use "Langflow" instead of "Langflow" and corrected the formatting of the table of contents.
- Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option.
- Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform.
- Updated the "Creating Flows" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the LangChain components.
- Updated the "Contributing" section in the README file to use "
🔬 test(test_graph.py): remove test cases for building specific vertex types
The commit removes unused imports and test cases related to specific vertex types that are no longer used in the codebase. This improves code cleanliness and reduces clutter. The removed test cases were for building specific vertex types, which are no longer necessary as the build method is now tested in a more general way.
🔧 fix(test_endpoints.py): update test_get_all to assert "PromptTemplate" instead of "ZeroShotPrompt"
🔧 fix(test_endpoints.py): update test_valid_prompt and test_invalid_prompt to use PROMPT_REQUEST variable
🔧 fix(test_endpoints.py): update test_various_prompts to use PROMPT_REQUEST variable
🔧 fix(test_prompts_template.py): remove test_zero_shot_prompt as it is no longer needed
The import statement for TimeTravelGuideChainNode is fixed to ensure the correct module is imported. The test_get_all function is updated to assert the presence of "PromptTemplate" instead of "ZeroShotPrompt" in the response. The test_valid_prompt, test_invalid_prompt, and test_various_prompts functions are updated to use the PROMPT_REQUEST variable for the request payload. The test_zero_shot_prompt function is removed as it is no longer needed.
✨ feat(memories.py): add MongoDBChatMessageHistoryFrontendNode class to support MongoDB as a memory store
The CUSTOM_NODES dictionary in customs.py has been updated to include the "MongoDBChatMessageHistory" memory. This allows the application to use MongoDB as a memory store for chat message history. The MongoDBChatMessageHistoryFrontendNode class has been added to memories.py, providing the necessary functionality and configuration options for interacting with MongoDB as a memory store.
🔧 chore(ShadTooltipComponent): remove unused import and set default value for delayDuration prop
🔧 chore(ApiModal): optimize imports and remove unused imports
🔧 chore(genericModal): optimize imports and remove unused imports
The changes were made to optimize the imports and remove duplicate and unused imports in the respective files. This improves the codebase by reducing unnecessary dependencies and improving maintainability.
🐛 fix(inputFileComponent): fix class order in className to ensure correct styling when editNode is true
🐛 fix(genericModal): remove unnecessary conditional rendering of '-' in Input Variables label
The order of sections in the config.yaml file has been adjusted for better readability and organization. The "prompts" section has been moved to the top, followed by the "memories" section, and then the "textsplitters" section. This change improves the structure and consistency of the config file.
🐛 fix(utils.py): add input validation for 'chat_inputs.message' to prevent errors when no message is provided
🐛 fix(loading.py): add type hint for 'format_kwargs' variable in instantiate_prompt function
🐛 fix(base.py): add type hint for 'inputs' parameter in get_result_and_steps function
The changes in `base.py` and `utils.py` are bug fixes that address potential issues in the code. The type hint for the 'template' attribute in the `FrontendNodeRequest` class is added to improve code clarity and maintainability. The input validation for 'chat_inputs.message' in the `process_graph` function ensures that an error is raised when no message is provided, preventing potential issues down the line. In `loading.py`, the type hint for the 'format_kwargs' variable in the `instantiate_prompt` function improves type safety. Lastly, in `base.py`, the type hint for the 'inputs' parameter in the `get_result_and_steps` function ensures proper type checking.
The 'type_name' attribute for the 'Tools' field in the 'ZeroShotAgent' class has been changed to 'field_type' to improve consistency with the naming conventions used in the codebase.
The condition to remove empty input_key and output_key parameters has been fixed to correctly handle cases where the parameters are empty strings. This ensures that the parameters are only removed if they are either empty strings or not present in the params dictionary.
The prettier-plugin-organize-imports package is added to the project to improve code formatting. This plugin helps to organize and sort import statements in a consistent and standardized manner, making the codebase more readable and maintainable.
🔧 fix(genericModal/index.tsx): fix CSS class name in flex container to change height to h-[55vh]
🔧 fix(genericModal/index.tsx): fix CSS class name in div container to change height to h-[60px] and adjust width for different screen sizes
🔧 fix(genericModal/index.tsx): fix CSS class name in Badge component to add max-width and truncate long text
🔧 fix(genericModal/index.tsx): fix logic to handle long text in Tooltip component and truncate it if necessary
🔧 fix(genericModal/index.tsx): fix logic to handle button click in DialogFooter component and close modal if input value is empty
The syntax error was caused by a missing quotation mark in the default value of the JSON string. The fix adds the missing quotation mark to ensure the JSON string is valid.
The import statement for the 'typing' module was incorrectly indented, causing a syntax error. The import statement has been fixed to align with the correct indentation.
In the getPythonApiCode function, the run_flow function had an unnecessary type annotation for the message parameter. It was removed to improve code readability. Additionally, the variable name in the run_flow function was changed from inputs to payload to better reflect its purpose.
In the getCurlCode function, support for dynamic inputs was added. The inputs variable is now passed as an argument to the flow function, allowing for flexibility in providing different inputs when generating the curl code.
🐛 fix(constants.tsx): remove unnecessary type annotation and fix variable name in run_flow function
✨ feat(chatMessage/index.tsx): add labels for chatbot and user avatars to improve accessibility and user experience
🐛 fix(chatMessage/index.tsx): adjust styling of chat message content to prevent overflow and improve readability
🐛 fix(chatMessage/index.tsx): adjust button background color to match the background color of the chat message container
🔨 refactor(modals/ApiModal/index.tsx): pass tabsState parameter to getPythonApiCode, getCurlCode, and getPythonCode functions to build inputs dynamically
🔨 refactor(utils.ts): add buildInputs function to build inputs dynamically based on tabsState
