Integrate AWS S3 for Pipeline Artifact Storage [5](#header-5)

[fuzziecoder]

🎯 Issue Summary

Add AWS S3 integration to store pipeline execution artifacts (logs, outputs, reports).

📋 Current Behavior

Pipeline outputs are stored in-memory or locally, with no persistent artifact storage.

Current Limitations:

• No artifact persistence
• No centralized storage
• Limited to local filesystem

✨ Proposed Solution

Integrate AWS S3 for:

• Storing execution logs
• Saving pipeline outputs/artifacts
• Archiving historical execution data
• Generating presigned URLs for artifact access

🔧 Technical Requirements

1. AWS SDK Setup

• Add boto3 to requirements.txt
• Create backend/integrations/s3.py
• Configure AWS credentials in config

2. S3 Client

• Create S3ArtifactStore class
• Implement upload_artifact()
• Implement download_artifact()
• Implement generate_presigned_url()

3. Artifact Management

• Upload execution logs to S3 after completion
• Store pipeline outputs by execution ID
• Organize artifacts: s3://bucket/pipelines/{id}/executions/{exec_id}/

4. API Integration

• Add GET /api/executions/{id}/artifacts endpoint
• Return presigned URLs for artifact download
• Support artifact listing

5. Configuration

• Add S3_BUCKET, AWS_REGION to config
• Support IAM role or access key authentication
• Add artifact retention policy

📝 Acceptance Criteria

• ✅ Execution logs uploaded to S3 automatically
• ✅ Artifacts accessible via presigned URLs
• ✅ S3 bucket organized by pipeline/execution
• ✅ API returns artifact URLs
• ✅ Configurable retention period

💡 Implementation Example

# backend/integrations/s3.py  [6](#header-6)
import boto3  
from datetime import timedelta  
  
class S3ArtifactStore:  
    def __init__(self, bucket: str, region: str):  
        self.s3 = boto3.client('s3', region_name=region)  
        self.bucket = bucket  
      
    async def upload_artifact(self, pipeline_id: str, execution_id: str,   
                             filename: str, content: bytes):  
        key = f"pipelines/{pipeline_id}/executions/{execution_id}/{filename}"  
        self.s3.put_object(Bucket=self.bucket, Key=key, Body=content)  
        return key  
      
    def generate_presigned_url(self, key: str, expiration: int = 3600):  
        return self.s3.generate_presigned_url(  
            'get_object',  
            Params={'Bucket': self.bucket, 'Key': key},  
            ExpiresIn=expiration  
        )
📚 Resources
[Boto3 Documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html)
[S3 Presigned URLs](https://docs.aws.amazon.com/AmazonS3/latest/userguide/ShareObjectPreSignedURL.html)