Feature: Récupération des détails d’un projet #22
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| name: LLM Review & Email Notification | |
| on: | |
| pull_request: | |
| types: [opened, synchronize] | |
| branches: [develop] | |
| permissions: | |
| contents: write | |
| pull-requests: write | |
| issues: write | |
| jobs: | |
| review_and_notify: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| - name: Get PR diff (src only) | |
| id: diff | |
| run: | | |
| echo "🔍 Récupération du diff..." | |
| git fetch origin develop || true | |
| git diff origin/develop...HEAD -- 'src/**' '*.js' '*.ts' > diff.txt || true | |
| if [ ! -s diff.txt ]; then | |
| echo "diff=" >> $GITHUB_OUTPUT | |
| else | |
| echo "✅ Diff récupéré :" | |
| head -n 10 diff.txt | |
| # Encode le diff en Base64 pour éviter les erreurs JSON | |
| DIFF_B64=$(base64 -w 0 diff.txt) | |
| echo "diff_b64=$DIFF_B64" >> $GITHUB_OUTPUT | |
| fi | |
| - name: Call LLM for Code Review | |
| id: llm | |
| env: | |
| GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }} | |
| run: | | |
| echo "🧠 Lecture du diff..." | |
| if [ ! -f diff.txt ] || [ ! -s diff.txt ]; then | |
| echo "⚠️ Aucun diff trouvé." | |
| echo "LLM_RESPONSE=" >> $GITHUB_OUTPUT | |
| exit 0 | |
| fi | |
| CHUNK_SIZE=300 | |
| echo "" > llm_feedback.txt | |
| split -l $CHUNK_SIZE diff.txt diff_chunk_ | |
| for file in diff_chunk_* | |
| do | |
| echo "🧠 Envoi du chunk $file à l'IA..." | |
| # Échapper le diff en JSON | |
| DIFF_JSON=$(jq -Rs . < "$file") | |
| RESPONSE=$(curl -s "https://generativelanguage.googleapis.com/v1beta/openai/chat/completions" \ | |
| -H "Content-Type: application/json" \ | |
| -H "Authorization: Bearer $GEMINI_API_KEY" \ | |
| -d @- <<EOF | |
| { | |
| "model": "gemini-2.0-flash", | |
| "messages": [ | |
| { | |
| "role": "user", | |
| "content": "Tu es un relecteur de code expert. Analyse ce diff. Si le code est bon, fournis des pistes d'amélioration. Si le code contient des bugs, liste-les. Réponds en français.\n\n$DIFF_JSON" | |
| } | |
| ] | |
| } | |
| EOF | |
| ) | |
| ERROR=$(echo "$RESPONSE" | jq -r '.[0].error.message // empty') | |
| if [ -n "$ERROR" ]; then | |
| echo "⚠️ LLM error: $ERROR" | |
| echo "LLM_RESPONSE=Erreur LLM : $ERROR" >> $GITHUB_OUTPUT | |
| exit 0 | |
| fi | |
| FEEDBACK=$(echo "$RESPONSE" | jq -r '.[0].message.content' 2>/dev/null || echo "") | |
| echo -e "\n--- Chunk $file ---\n$FEEDBACK" >> llm_feedback.txt | |
| sleep 5 | |
| done | |
| FEEDBACK=$(cat llm_feedback.txt) | |
| echo "LLM_RESPONSE<<EOF" >> $GITHUB_OUTPUT | |
| echo "$FEEDBACK" >> $GITHUB_OUTPUT | |
| echo "EOF" >> $GITHUB_OUTPUT | |
| - name: Comment on PR with LLM feedback | |
| if: ${{ steps.llm.outputs.LLM_RESPONSE != '' }} | |
| uses: actions/github-script@v7 | |
| with: | |
| github-token: ${{ secrets.GITHUB_TOKEN }} | |
| script: | | |
| const feedback = process.env.FEEDBACK; | |
| const prNumber = context.payload.pull_request.number; | |
| const actor = context.actor; | |
| await github.rest.issues.createComment({ | |
| owner: context.repo.owner, | |
| repo: context.repo.repo, | |
| issue_number: prNumber, | |
| body: `🤖 **Revue IA pour @${actor}**\n\n${feedback}` | |
| }); | |
| env: | |
| FEEDBACK: ${{ steps.llm.outputs.LLM_RESPONSE }} | |
| - name: Send Email Notification | |
| if: ${{ steps.llm.outputs.LLM_RESPONSE != '' }} | |
| uses: dawidd6/action-send-mail@v3 | |
| with: | |
| server_address: smtp.gmail.com | |
| server_port: 465 | |
| username: ${{ secrets.MAIL_USERNAME }} | |
| password: ${{ secrets.MAIL_PASSWORD }} | |
| subject: "Revue IA pour PR #${{ github.event.pull_request.number }} par @${{ github.actor }}" | |
| to: ${{ secrets.TEAM_EMAIL_LIST }} | |
| from: ${{ secrets.MAIL_USERNAME }} | |
| body: | | |
| Bonjour l'équipe 👋, | |
| Une nouvelle revue IA vient d'être générée pour la Pull Request #${{ github.event.pull_request.number }} par @${{ github.actor }}. | |
| Voici le retour de l'IA : | |
| ${{ steps.llm.outputs.LLM_RESPONSE }} |