ci-ai: KI-Schicht für die Gitea-CI (PR-Review, Security-Erklärung, CI-Failure-Analyse)
Provider-agnostische LLM-Anbindung (Anthropic jetzt, Jetson/Ollama später per Env-Var umschaltbar). Stdlib-only Skripte + Beispiel-Workflows. GitLab-Duo-Parität für self-hosted Gitea + act_runner. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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40
workflows/ai-review.example.yml
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workflows/ai-review.example.yml
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# Feature A — KI-PR-Review + Summary.
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# In ein Ziel-Repo kopieren nach: .gitea/workflows/ai-review.yml
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#
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# Nutzt KEINE JS-Actions (kein node nötig): schlankes python-Image, ci-ai wird
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# manuell geklont. GITHUB_REPOSITORY / GITHUB_EVENT_PATH setzt Gitea automatisch.
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name: AI PR Review
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on:
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pull_request:
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types: [opened, synchronize, reopened]
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jobs:
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review:
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runs-on: eulernest
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container: python:3.12-slim
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steps:
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- name: Tooling (git)
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run: apt-get update -qq && apt-get install -y -qq --no-install-recommends git ca-certificates
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- name: ci-ai-Skripte holen
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run: git clone --depth 1 https://git.eulernest.eu/user2595/ci-ai.git /opt/ci-ai
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- name: KI-Review
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env:
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AI_PROVIDER: anthropic
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AI_MODEL: claude-3-5-haiku-latest
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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# Kommentieren: Actions-Auto-Token. Reicht dessen Schreibrecht nicht,
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# stattdessen GITEA_BOT_TOKEN (PAT) als Repo-/Org-Secret setzen.
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GITEA_TOKEN: ${{ github.token }}
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GITEA_API: https://git.eulernest.eu/api/v1
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run: python /opt/ci-ai/scripts/ai_review.py
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# ─────────────────────────────────────────────────────────────────────────────
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# Späterer Umstieg auf den Jetson (lokales Ollama) — NUR diese env-Werte ändern,
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# kein Code-Change:
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# AI_PROVIDER: ollama
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# AI_MODEL: qwen-light
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# AI_BASE_URL: http://192.168.178.20:11434/v1
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# JETSON_API_KEY: ${{ secrets.JETSON_API_KEY }}
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41
workflows/ci-failure.example.yml
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workflows/ci-failure.example.yml
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# Feature C — KI-Analyse fehlgeschlagener CI-Jobs.
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# KEIN eigenständiger Workflow, sondern ein MUSTER: diesen if:failure()-Job ans
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# Ende eines echten Build/Test-Workflows hängen (needs: auf die CI-Jobs setzen).
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# Er nimmt das geteilte Job-Log und lässt die KI die Ursache erklären.
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#
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# Beispiel-Einbettung in einen vorhandenen Workflow:
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#
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# jobs:
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# build:
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# runs-on: eulernest
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# container: ghcr.io/catthehacker/ubuntu:act-latest
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# steps:
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# - uses: actions/checkout@v4
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# - name: Build
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# run: |
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# set -o pipefail
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# make 2>&1 | tee /tmp/ci.log # <-- Log mitschneiden
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#
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# explain-on-failure:
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# needs: [build]
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# if: failure()
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# runs-on: eulernest
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# container: python:3.12-slim
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# steps:
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# - name: Tooling
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# run: apt-get update -qq && apt-get install -y -qq --no-install-recommends git ca-certificates
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# - name: KI-Analyse
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# env:
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# AI_PROVIDER: anthropic
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# AI_MODEL: claude-3-5-haiku-latest
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# ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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# GITEA_TOKEN: ${{ github.token }}
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# GITEA_API: https://git.eulernest.eu/api/v1
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# run: |
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# git clone --depth 1 https://git.eulernest.eu/user2595/ci-ai.git /opt/ci-ai
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# python /opt/ci-ai/scripts/ai_explain.py ci-failure /tmp/ci.log
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#
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# Hinweis: /tmp wird zwischen Jobs NICHT automatisch geteilt. Für echtes Cross-
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# Job-Log-Sharing das Log als actions/upload-artifact hochladen und im Folge-Job
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# wieder herunterladen — ODER (einfacher) den explain-Schritt als if:failure()
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# direkt in DENSELBEN Job hängen, wie in security.example.yml gezeigt.
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60
workflows/security.example.yml
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workflows/security.example.yml
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# Feature B (+C) — Security-Scan, HART blockierend, mit KI-Klartext-Erklärung.
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# In ein Ziel-Repo kopieren nach: .gitea/workflows/security.yml
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#
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# Ablauf: scannen (ohne sofort abzubrechen) -> Gate (failt hart bei Funden) ->
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# bei Fehler erklärt die KI die Funde im PR. So failt der Check verlässlich UND
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# der Erklär-Schritt sieht beide Reports.
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name: Security
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on:
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pull_request:
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push:
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branches: [main, master]
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jobs:
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scan:
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runs-on: eulernest
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container: ghcr.io/catthehacker/ubuntu:act-latest
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steps:
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- name: Checkout (volle Historie für Gitleaks)
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Gitleaks (Secret-Scan)
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id: gitleaks
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continue-on-error: true
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run: |
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curl -sSL https://github.com/gitleaks/gitleaks/releases/latest/download/gitleaks_linux_x64.tar.gz \
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| tar -xz -C /usr/local/bin gitleaks
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gitleaks detect --source . --report-format json --report-path /tmp/gitleaks.json --no-banner \
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| tee /tmp/gitleaks.txt; echo "code=${PIPESTATUS[0]}" >> "$GITHUB_OUTPUT"
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- name: Trivy (fs + IaC, HIGH/CRITICAL)
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id: trivy
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continue-on-error: true
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run: |
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curl -sSL https://raw.githubusercontent.com/aquasecurity/trivy/main/contrib/install.sh \
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| sh -s -- -b /usr/local/bin
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trivy fs --scanners vuln,secret,misconfig --severity HIGH,CRITICAL \
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--exit-code 1 --no-progress . | tee /tmp/trivy.txt; echo "code=${PIPESTATUS[0]}" >> "$GITHUB_OUTPUT"
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- name: Gate — hart blockieren bei Funden
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run: |
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cat /tmp/gitleaks.txt /tmp/trivy.txt > /tmp/scan.log 2>/dev/null || true
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if [ "${{ steps.gitleaks.outputs.code }}" != "0" ] || [ "${{ steps.trivy.outputs.code }}" != "0" ]; then
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echo "Security-Funde — Check schlägt fehl (hart blockierend)."; exit 1
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fi
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echo "Keine HIGH/CRITICAL-Funde."
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- name: KI erklärt die Funde (nur bei Fehler)
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if: failure()
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env:
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AI_PROVIDER: anthropic
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AI_MODEL: claude-3-5-haiku-latest
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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GITEA_TOKEN: ${{ github.token }}
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GITEA_API: https://git.eulernest.eu/api/v1
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run: |
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git clone --depth 1 https://git.eulernest.eu/user2595/ci-ai.git /opt/ci-ai
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python3 /opt/ci-ai/scripts/ai_explain.py security /tmp/scan.log
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