* chore: Update dockerfile paths and branch name in render.yaml and release.yml
* chore(readthedocs.yaml): remove .readthedocs.yaml file as it is no longer needed
chore(base.Dockerfile): remove base.Dockerfile as it is no longer used in the project
feat(cdk-docker-compose.yml): add cdk-docker-compose.yml file to set up docker-compose for backend and frontend services
* move dockerignore
* chore: Remove test-results/.last-run.json file
* chore: Cache Node.js dependencies during workflow execution
* chore: Remove npm cache from workflow and cache Node.js dependencies
* chore: Update shardIndex and shardTotal values in typescript_test.yml workflow
* chore: Update Playwright test command with shard and worker options
Resolved an issue with installing and running Langflow. The initial installation via pip install langflow and subsequent command langflow --host 0.0.0.0 --port 7860 encountered errors. The solution involved:
Upgrading pip to the latest version.
Updating the system packages.
Reinstalling Langflow with pip3.
Adjusting the execution command to langflow run --host 0.0.0.0 --port 7860.
📝 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.
