Generate Dockerfile and Kubernetes YAML from GitHub repo URL through machine learning

[cubxxw]

Generate Dockerfile and Kubernetes YAML from GitHub repo URL through machine learning

Description

This repository aims to automatically generate Dockerfile and Kubernetes deployment YAML files from a GitHub repository URL using AutoGPT, a machine learning model.

The workflow is:

1. Provide a GitHub repo URL
2. AutoGPT learns from the code in the repo and helps generate a Dockerfile and Kubernetes YAML files
3. The generated files are sent to the background system to build Docker image and Kubernetes deployment
4. If successful, exit. If not, the error messages are fed back to AutoGPT
5. AutoGPT continues optimizing based on the error feedback until the build is successful

The goal is to automatically configure CI/CD pipelines from any GitHub repo through machine learning and automation.

Suggestions and Feedback

Please let me know if you have any suggestions or feedback on this project.

Examples

Here are a few examples of the Dockerfiles and Kubernetes YAML files that can be generated from GitHub repo URLs:

Dockerfile dockerfile
 FROM python:3.8-slim
 WORKDIR /app
 COPY . . 
 RUN pip install -r requirements.txt
 ENTRYPOINT ["python"]  
 CMD ["app.py"]

Kubernetes Deployment YAML yaml
 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: my-app
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: my-app
   template:
     metadata:
       labels:
         app: my-app
     spec:
       containers:
       - name: my-app
         image: my-app:0.1.0
         ports:
         - containerPort: 80

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[kubbot]

This issue is stale because it has been open 7 days with no activity. Remove stale label or comment or this will be closed in 7 days.

[kubbot]

This issue was closed because it has been stalled for 5 days with no activity.