name: 'Argus FinOps'
description: 'AI-powered cost analysis for AWS infrastructure'
author: 'ghndrx'

branding:
  icon: 'dollar-sign'
  color: 'green'

inputs:
  mode:
    description: 'Operation mode: scan, evaluate, or report'
    required: true
    default: 'evaluate'
  
  plan-file:
    description: 'Terraform plan file (for evaluate mode)'
    required: false
  
  regions:
    description: 'AWS regions to scan (comma-separated)'
    required: false
    default: 'us-east-1'
  
  period:
    description: 'Report period: daily, weekly, monthly'
    required: false
    default: 'weekly'
  
  ai-provider:
    description: 'AI provider: bedrock or openai'
    required: false
    default: 'bedrock'
  
  ai-model:
    description: 'AI model ID'
    required: false
    default: 'anthropic.claude-3-5-sonnet-20241022-v2:0'
  
  comment-on-pr:
    description: 'Comment results on PR'
    required: false
    default: 'true'
  
  fail-on-increase:
    description: 'Fail if cost increases above threshold'
    required: false
    default: 'false'
  
  fail-threshold:
    description: 'Cost increase threshold (monthly $)'
    required: false
    default: '100'
  
  slack-webhook:
    description: 'Slack webhook for notifications'
    required: false
  
  output-format:
    description: 'Output format: markdown, json, github'
    required: false
    default: 'github'

outputs:
  monthly-delta:
    description: 'Monthly cost change in dollars'
  
  total-savings:
    description: 'Total potential savings identified'
  
  findings-count:
    description: 'Number of optimization findings'
  
  report:
    description: 'Full report content'

runs:
  using: 'composite'
  steps:
    - name: Setup Python
      uses: actions/setup-python@v5
      with:
        python-version: '3.11'
    
    - name: Install Argus
      shell: bash
      run: |
        pip install boto3 requests
        # In production: pip install argus-finops
    
    - name: Run Argus
      id: argus
      shell: bash
      env:
        ARGUS_AI_PROVIDER: ${{ inputs.ai-provider }}
        ARGUS_AI_MODEL: ${{ inputs.ai-model }}
      run: |
        case "${{ inputs.mode }}" in
          scan)
            python -m argus scan \
              --regions ${{ inputs.regions }} \
              --output-format ${{ inputs.output-format }} \
              --output /tmp/argus-report.md
            ;;
          evaluate)
            python -m argus evaluate \
              --plan-file "${{ inputs.plan-file }}" \
              --output-format ${{ inputs.output-format }} \
              --output /tmp/argus-report.md \
              ${{ inputs.fail-on-increase == 'true' && '--fail-on-increase' || '' }} \
              --fail-threshold ${{ inputs.fail-threshold }}
            ;;
          report)
            python -m argus report \
              --period ${{ inputs.period }} \
              --regions ${{ inputs.regions }} \
              --output-format ${{ inputs.output-format }} \
              --output /tmp/argus-report.md \
              ${{ inputs.slack-webhook && format('--slack-webhook {0}', inputs.slack-webhook) || '' }}
            ;;
        esac
        
        # Set outputs
        echo "report<<EOF" >> $GITHUB_OUTPUT
        cat /tmp/argus-report.md >> $GITHUB_OUTPUT
        echo "EOF" >> $GITHUB_OUTPUT
    
    - name: Comment on PR
      if: inputs.comment-on-pr == 'true' && github.event_name == 'pull_request'
      uses: actions/github-script@v7
      with:
        script: |
          const report = `${{ steps.argus.outputs.report }}`;
          github.rest.issues.createComment({
            issue_number: context.issue.number,
            owner: context.repo.owner,
            repo: context.repo.repo,
            body: `## 💰 Argus Cost Analysis\n\n${report}`
          });