✨ 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.
feat(tabsContext.tsx): add support for skipping node updates based on node type defined in the skipNodeUpdate constant to improve performance and prevent unnecessary updates
🔒 chore(poetry.lock): update typing-extensions package version to >=4.5,<5
🔒 chore(poetry.lock): update cohere package version to 4.20.0
📦 chore(poetry.lock): update coverage package version to 7.3.0
🔀 chore(poetry.lock): update python-versions constraint to >=3.8
🚀 feat(coverage): update coverage package to version 7.3.0
The coverage package has been updated to version 7.3.0. This update includes new wheel files for various platforms and their corresponding hashes.
🔒 chore: update coverage package dependencies
The coverage package dependencies have been updated to version 7.3.0. This commit includes the updated wheel files and their corresponding hashes.
🔒 chore(poetry.lock): update ctransformers to version 0.2.22
🔒 chore(poetry.lock): update exceptiongroup to version 1.1.3
🔒 chore(poetry.lock): update google-cloud-aiplatform to version 1.30.1
🔒 chore(poetry.lock): update langsmith to version 0.0.22
🔒 chore(poetry.lock): update metaphor-python to version 0.1.14
🔒 chore(poetry.lock): update pandas-stubs to version 2.0.3.230814
🔒 chore(poetry.lock): update pypdf to version 3.15.1
🔒 chore(poetry.lock): update tenacity to version 8.2.3
🔒 chore(poetry.lock): update tornado version from 6.3.2 to 6.3.3 to fix security vulnerability
🔒 chore(poetry.lock): update types-pytz version from 2023.3.0.0 to 2023.3.0.1 to fix typing stubs
🔒 chore(poetry.lock): update validators version from 0.20.0 to 0.21.0 to improve data validation
🔒 chore(poetry.lock): update watchfiles version from 0.19.0 to 0.19.0 (no changes)
ℹ️ The code was modified to handle a case where the `template` attribute is not present in the `PromptVertex` class. If the `template` attribute is not found, the code checks if the `prompt` attribute is present and uses its `template` attribute instead. This change ensures that the code does not break when the `template` attribute is missing.
✨ feat(base.py): add `get_result` method to `Vertex` to retrieve the result of a built vertex
🐛 fix(types.py): pass `is_task=True` to `super().__init__` in `CustomComponentVertex` constructor
✨ feat(worker.py): add `build_vertex` task to build a vertex asynchronously
🔧 chore(manager.py): add try-except block to handle ImportError and provide clear error message when redis-py package is not installed
🔧 chore(manager.py): add import statement for redis module in the is_connected method to avoid NameError
✨ feat(manager.py): add upsert method to InMemoryCache and RedisCache to support inserting or updating cache items
🐛 fix(manager.py): fix client_id generation in handle_websocket method to avoid overwriting existing cache items
🔨 chore(manager.py): refactor handle_websocket method to use upsert method and improve readability
✨ feat(manager.py): add result_dict to cache instead of directly setting langchain_object to improve cache semantics
🐛 fix(manager.py): handle case when langchain_object is not found in cache and raise ValueError
🔒 chore(pyproject.toml): update celery, redis, and flower versions and make them optional dependencies
🔀 chore(pyproject.toml): add celery, redis, and flower to the deploy extra dependencies
🔧 fix(docker-compose.celery.yml): update uvicorn command to include debug log level
🔧 fix(docker-compose.celery.yml): update flower command to include redis broker URL
🔧 fix(docker-compose.celery.yml): add dependencies and environment variables for redis cache and queue in frontend service
✨ feat(manager.py): add support for chat cache and attach it to the chat manager for better chat history management
🔧 chore(manager.py): change client_id format in set_cache method to avoid conflicts with existing cache keys
