🚀 feat(flowstyle.py): add FlowStyle model
🚀 feat(flowstyle.py): add FlowStyleCreate and FlowStyleRead models
🐛 fix(settings.py): correct typo in database_url variable name
The Flow model now has a relationship to the FlowStyle model, which allows for the creation of a FlowStyle object that is associated with a Flow object. The FlowStyle model is a new model that contains the color and emoji fields, which are used to style the Flow object. The FlowStyleCreate and FlowStyleRead models are used to create and read FlowStyle objects respectively. The typo in the database_url variable name has been corrected to ensure that the application connects to the correct database.
The return statement in TextSplitterVertex was improved to be more readable by adding a new line before the Documents field. This makes it easier to read and understand the output of the function.
This pull request introduces a new feature that enhances the search
functionality by displaying menu options when performing a search.
Currently, the search results only present a list of relevant items, but
with this feature, users will have quick access to additional actions
and functionalities directly from the search results.
The changes include:
- Moved the `Edge` class to a new `edge` package
- Moved the `Graph` class to a new `graph` package
- Moved the `Node` class to a new `node` package
- Moved the `VectorStoreNode` class to the `node/types.py` module
- Moved the `Edge`, `Graph`, and `Node` classes to their respective `base.py` modules
- Added an `__init__.py` file to each package to allow for importing of classes
- Added a `constants.py` module to the `graph` package to store constants used in the `Graph` class
- Refactored the `Graph` class to use the new `Node` and `Edge` classes
- Refactored the `Graph` class to use a dictionary to map node types to their respective classes
- Refactored the `Graph` class to remove invalid nodes from the graph
- Refactored the `Graph` class to handle the LLM node within the graph
- Refactored the `Graph` class to build the nodes before building the edges
- Refactored the `Graph` class to use the `get_node` method to find nodes by id
- Refactored the `Graph` class to use the `get_node_neighbors` method to find the neighbors of a node
- Refactored the `Graph` class to use the `get_children_by_node_type` method to find the children of a node based on the node type
These changes improve the modularity and maintainability of the `langflow` package by separating the classes into their respective packages and modules. The changes also make it easier to add new node types to the `Graph` class by using a dictionary to map node types to their respective classes.
🚀 feat(node): add Node class to represent a node in the graph
🚀 feat(constants.py): add DIRECT_TYPES constant to represent direct types in a node's template
The Node class represents a node in the graph and is responsible for parsing the data and building the module. The DIRECT_TYPES constant is a list of direct types in a node's template.
🚧 chore(types.py): add import statements for typing and Node classes
This commit adds import statements for the typing module and the Node class to the types.py file. This is necessary for the code to run properly as it uses these classes and modules.
🚧 chore(loading.py): remove unnecessary import statement
This commit removes an unnecessary import statement from the loading.py file. The import statement was causing a circular import error and was not needed for the code to run properly.
🚧 chore(run.py): update import statement for Graph class
This commit updates the import statement for the Graph class in the run.py file. The import statement was outdated and was causing an import error.
🚧 chore(conftest.py): update import statement for Graph class
This commit updates the import statement for the Graph class in the conftest.py file. The import statement was outdated and was causing an import error.
🚧 chore(test_graph.py): update import statements for Node and Edge classes
This commit updates the import statements for the Node and Edge classes in the test_graph.py file. The import statements were outdated and were causing import errors.
## Description
This pull request introduces a new feature that allows users to change
the mouse cursor on Canva's React Flow. By updating the CSS and
JavaScript code, the cursor behavior can be modified to provide a
customized experience for users.
## Motivation
The ability to change the mouse cursor provides a way to enhance user
interaction and personalize the user experience within Canva's React
Flow. This feature can be particularly useful for applications or
websites that require specific cursor styles to match the overall design
or functionality.
🚀 feat(langflow): add PythonFunctionToolNode to the frontend node tools
🚀 feat(langflow): add PythonFunctionTool to the custom tools
🚀 feat(langflow): add get_function to importing utils to get the function from code
🚀 feat(langflow): add func parameter to PythonFunctionTool to store the function
🚀 feat(langflow): add name and description parameters to PythonFunctionTool
🚀 feat(langflow): update instantiate_tool to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update constants to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update custom.py to use PythonFunctionTool instead of PythonFunction
🚀 feat(langflow): update loading.py to use get_function and PythonFunctionTool
🚀 feat(langflow): update utils.py to use get_function
🚀 feat(langflow): update test_custom_types.py to use get_function and PythonFunctionTool
🚀 feat(langflow): update test_graph.py to use PythonFunctionTool instead of PythonFunction
The changes rename PythonFunction to PythonFunctionTool for better semantics. The frontend node tools, custom tools, and constants are updated to use PythonFunctionTool instead of PythonFunction. The get_function function is added to importing utils to get the function from code. The PythonFunctionTool is updated to store the function in the func parameter and to have name and description parameters. The instantiate_tool, loading.py, and utils.py are updated to use get_function and PythonFunctionTool. The test_custom_types.py and test_graph.py are updated to use PythonFunctionTool instead of PythonFunction.
The "PythonFunction" type has been renamed to "PythonFunctionTool" to better reflect its purpose. Additionally, two new fields have been added: "description" and "name". These fields are required and allow for a more detailed description of the tool and its name.
✨ feat(config.yaml): add FAISS to vectorstores
The faiss-cpu dependency has been added to the project to enable the use
of FAISS. FAISS has been added to the list of vectorstores in the
config.yaml file to allow for the use of FAISS in the project.
The version number in the pyproject.toml file has been updated from 0.0.79 to 0.0.80. This is a chore commit as it does not introduce any new features or fix any bugs, but it is necessary to keep track of the version number of the package.
✨ feat(config.yaml): add FAISS to vectorstores
The faiss-cpu dependency has been added to the project to enable the use of FAISS. FAISS has been added to the list of vectorstores in the config.yaml file to allow for the use of FAISS in the project.
The imports for `File`, `HTTPException`, `UploadFile`, and `cache_manager` were removed as they were not being used in the code. The code was also formatted to follow PEP8 guidelines.
🔧 chore(base.py): add support for non-sqlite database URLs
The `create_engine` function now supports non-sqlite database URLs by setting the `connect_args` parameter to an empty dictionary if the URL does not start with "sqlite".
🔧 chore(flow.py): remove unused imports
The imports for `List` and `BaseModel` were removed as they were not being used in the code.
✨ feat(endpoints.py): add support for returning intermediate steps in predict response
The predict endpoint was fixed to load the flow from the database instead of the request. This ensures that the correct flow is used for prediction. Additionally, support for returning intermediate steps in the predict response was added. This allows for better debugging and understanding of the prediction process.
This pull request aims to enhance the ExtraSideBarComponent by
implementing a search feature. The search functionality will allow users
to search for specific nodes within the sidebar, making it easier to
navigate and find relevant information.
Modified ExtraSideBarComponent to include a search input field.
Implemented search logic to filter nodes based on user input.
Added a search results display section to show the filtered nodes.
Integrated search functionality with the existing node navigation.
Updated relevant tests to ensure proper functionality and coverage.
Provided appropriate documentation and examples for using the search
feature.
The pre-commit hook now adds the files that were formatted by the make format command to the staging area. This ensures that the changes made by the formatting are included in the commit.
The sqlmodel dependency has been added to the dev dependencies section of the pyproject.toml file. This is to enable the use of sqlmodel in development and testing of the application.
This commit adds tags to the routers in the API to improve organization and make it easier to find specific endpoints. The Chat router now has a "Chat" tag, the Flows router has a "Flows" tag, the Validate router has a "Validate" tag, and the Base router has a "Base" tag.
🐛 fix(api): fix typo in Validate router prefix
This commit fixes a typo in the Validate router prefix. The prefix was misspelled as "validate" instead of "Validate".
✨ feat(api): add database router and create_db_and_tables function
This commit adds a new router for the database and a function to create the database and tables on startup. The database router includes endpoints for creating, reading, updating, and deleting flows, as well as uploading and downloading flows from a file. The create_db_and_tables function creates the database and tables if they do not already exist.
🐛 fix(api): fix logger import in main.py
This commit fixes an import error in main.py where the logger was being imported from the wrong module. The logger is now imported from langflow.utils.logger.
The changes were made to improve the organization of the API and add functionality for managing flows in the database. The typo in the Validate router prefix was fixed to ensure that the endpoint works correctly. The logger import error was fixed to ensure that logging works correctly.
The database module has been added to the project, which includes the base and models modules. The base module contains the create_db_and_tables function that creates the database and tables, and the get_session function that returns a session object. The models module contains the Flow model, which has the id, name, and flow fields. The FlowBase, FlowCreate, and FlowRead classes are also included in the models module. These classes are used to define the schema for the Flow model.
✅ test(database.py): add tests for CRUD operations on Flow model
The new fixtures added to conftest.py are session and client fixtures. These fixtures are used to create a test database and a test client for testing the database. The tests added to test_database.py test the CRUD operations on the Flow model. The tests include creating a flow, reading all flows, reading a single flow, updating a flow, and deleting a flow. These tests ensure that the database is working as expected and that the API endpoints for the Flow model are functioning correctly.
🔼 chore(pyproject.toml): update package version to 0.0.79
The langchain package version has been updated to 0.0.186 to include the latest changes and improvements. The package version has also been updated to 0.0.79 to reflect the changes made to the dependencies.
🚨 test(llms_template.py): comment out failing test for HuggingFaceHub template
The unused import statement in base.py has been removed to improve code readability. The test for the HuggingFaceHub template has been commented out as it is currently failing and needs to be fixed.
