🐛 fix(schemas.py): change type annotation of session_id field in ProcessResponse schema to Optional[str] to allow for None value
🐛 fix(run.py): change return type annotation of build_sorted_vertices_with_caching function to Tuple[Any, Dict] to specify the return types
🐛 fix(process.py): change return type annotation of load_langchain_object function to Tuple[Union[Chain, VectorStore], Dict[str, Any], str] to include the session_id value in the return tuple
✨ feat(process.py): add clear_caches_if_needed function to clear cache if clear_cache flag is set
✨ feat(process.py): add load_langchain_object function to load langchain_object and artifacts from data_graph
✨ feat(process.py): add process_inputs function to process inputs and add artifacts to inputs
✨ feat(process.py): add generate_result function to generate result and thought based on langchain_object and inputs
🐛 fix(headerComponent): add onClick event handler to navigate to "/account/api-keys" when button is clicked
🐛 fix(API): add missing API functions for getting, creating, and deleting API keys
🐛 fix(SecretKeyModal): add functionality to create a new API key and set the value in the input field
🔧 fix(ApiKeysPage): remove unused imports and refactor code to improve readability and performance
✨ feat(ApiKeysPage): add support for fetching and displaying API keys for the logged-in user
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
🔧 fix(ApiKeysPage): refactor code to improve readability and remove unnecessary functions and variables
This pull request aims to perform a comprehensive type refactor across
the project, enhancing type safety and improving code clarity. The
changes introduced in this PR will lead to better maintainability,
reduced bugs related to type-related issues, and increased overall code
quality.
fix(authContext): fix TypeScript error by setting initial value of userData to null
fix(tsconfig.json): enable strict mode in TypeScript compiler for better type checking and error detection
The logic for getting the chat input field has been simplified by removing unnecessary checks and using optional chaining. This improves readability and reduces the complexity of the code.
This pull request addresses a critical issue related to a binding bug
that has been affecting the make_frontend command. The existing Makefile
was susceptible to this bug, causing unexpected behaviors and
disruptions during the build process.
**Bug Fix**:
This PR resolves a critical bug causing the deletion of custom component
edges during saves. The issue stemmed from miscommunication between edge
tracking and saving logic.
**Enhancement**:
Additionally, this PR enhances user experience by introducing a loading
screen during app startup. The loading screen offers visual feedback for
app initialization.
feat(Makefile): add install_frontendc target to install frontend dependencies using npm ci for clean installs
feat(Makefile): add frontendc target to install frontend dependencies using npm ci and run frontend
chore(ApiModal/index.tsx): reformat codesArray for better readability
🔧 chore(constants.ts): add CONTROL_NEW_API_KEY constant for consistency
✨ feat(SecretKeyModal): add SecretKeyModal component to handle secret key generation and copying
🔧 chore(UserManagementModal): rearrange buttons in UserManagementModal for better user experience
🚀 feat(ApiKeysPage): add new page for managing API keys
🔧 chore(routes.tsx): add route for ApiKeysPage
🔧 chore(types): add ApiKeyType and ApiKeyInputType to improve type safety and readability of code
🔧 chore(utils): add Key icon from lucide-react to nodeIconsLucide to be used in styling
✨ feat(main.py): add support for API key routes to enable API key management functionality
📝 docs(api_key.py): add API key routes for retrieving, creating, and deleting API keys
✨ feat(docker-compose.celery.yml): add db service with PostgreSQL image and configure environment variables for database connection
✨ feat(docker-compose.celery.yml): add pgadmin service with pgAdmin4 image and configure environment variables for admin login
🔧 chore(docker-compose.celery.yml): add db service as a dependency for the queue service
🔒 chore(poetry.lock): update exceptiongroup package version to 1.1.3
🔒 chore(poetry.lock): update google-api-python-client package version to 2.97.0
🔒 chore(poetry.lock): update pandas-stubs package version to 2.0.3.230814
🔒 chore(poetry.lock): update setuptools package version to 68.1.0
🔒 chore(poetry.lock): update tenacity package version to 8.2.3
🔒 chore(poetry.lock): update textual package version to 0.33.0
✨ feat(frontend): add support for BACKEND_URL environment variable in nginx.conf to configure backend URL
📝 chore(frontend): add start-nginx.sh script to replace placeholder in nginx.conf with actual BACKEND_URL and start nginx
📝 docs(walkthroughtutorial.md): add tutorial for deploying Langflow on Google Cloud Platform
The `deploy_langflow_gcp.sh` script is added to the `scripts/gcp` directory. This script sets up the necessary VM, image, and networking configuration for deploying Langflow on Google Cloud Platform. It also creates firewall rules, installs dependencies, and starts the Langflow server.
The `walkthroughtutorial.md` file is added to the `scripts/gcp` directory. This file provides a step-by-step tutorial on how to deploy Langflow on Google Cloud Platform using the `deploy_langflow_gcp.sh` script. It includes instructions on setting up the GCP environment, running the script, and connecting to the Langflow VM.
Cleanup instructions are also provided in the tutorial for removing the resources created during the deployment process.
📝 docs(walkthroughtutorial_spot.md): add walkthrough tutorial for deploying Langflow on Google Cloud Platform
This commit adds a new file `walkthroughtutorial_spot.md` which contains a step-by-step tutorial for deploying Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The tutorial provides an introduction, prerequisites, instructions for setting up the GCP environment, deploying Langflow, connecting to the Langflow VM, and cleaning up resources after the deployment.
The tutorial is authored by Robert Wilkins III and has a duration of 45 minutes. It assumes that the user has a GCP account and basic knowledge of Google Cloud Shell. The tutorial also includes links to relevant documentation and provides commands for configuring the GCP environment and deploying Langflow.
The tutorial is comprehensive and aims to guide users through the process of deploying Langflow on GCP. It also includes cleanup instructions for removing the resources created during the tutorial if desired.
