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.
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.
🔨 refactor(loading.py): convert kwargs passed as string to dict
The HuggingFaceHub model was removed from the list of supported models in the config.yaml file. The model was removed because it is no longer being used in the project. In the loading.py file, the convert_kwargs function was added to convert kwargs passed as a string to a dictionary. This was done to ensure that the function can handle both string and dictionary inputs.
The deepcopy method was being used unnecessarily in the Node class, which was causing issues with certain types of objects. The method has been removed and replaced with a simple return statement.
The RecursiveCharacterTextSplitter, LatexTextSplitter, and PythonCodeTextSplitter textsplitters are not being used in the application. They have been commented out to improve code readability and reduce clutter.
The validation status colors were swapped, causing the wrong color to be displayed for the wrong status. This commit fixes the issue by swapping the colors to match the correct status.
The modal titles were simplified to remove the unnecessary "as" preposition and to make them more concise. The "Export as" and "Import from" titles were changed to "Export" and "Import" respectively.
This commit removes unused files and imports from the template directory. The deleted files are base.py, fields.py, and nodes.py. The deleted imports are from langflow.template.constants. This improves the codebase by removing unnecessary code and reducing clutter.
✨ feat(frontend_node): add constants module
This commit adds a new module called constants to the frontend_node directory. The module contains constants used in the frontend_node module. The constants are FORCE_SHOW_FIELDS, DEFAULT_PROMPT, SYSTEM_PROMPT, and HUMAN_PROMPT. This improves the codebase by centralizing the constants in one module.
🐛 fix(frontend_node): use ast.literal_eval instead of eval
This commit fixes a security vulnerability by replacing the use of eval with ast.literal_eval in the UtilitiesFrontendNode class. The method converts a string representation of a list to an actual list. The use of eval is dangerous as it can execute arbitrary code. This improves the codebase by making it more secure.
The keys of the nodeIcons object have been renamed to improve semantics and readability. The new names are more descriptive of the functionality of the corresponding icons.
