Make kernel diff config with AI

Author: igorpecovnik

.github/workflows/generate-kernel-diff-report.yml

@@ -0,0 +1,74 @@
+name: "Weekly Journalistic Summary"
+
+on:
+  workflow_dispatch:
+  push:
+
+jobs:
+  summarize:
+    name: "Summarize Commits"
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout armbian/build
+        uses: actions/checkout@v4
+        with:
+          repository: armbian/build
+          token: ${{ secrets.GITHUB_TOKEN }}
+          fetch-depth: 0  # important to get full commit history
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: pip install openai
+
+      - name: Generate weekly summary
+        env:
+          OPENAI_API_KEY: ${{ secrets.AI_MODELS }}
+        run: |
+          python3 << 'EOF'
+          import subprocess
+          import datetime
+          from openai import OpenAI
+
+          client = OpenAI(api_key="${OPENAI_API_KEY}")
+
+          today = datetime.date.today()
+          last_week = today - datetime.timedelta(days=7)
+          since = f"--since={last_week.isoformat()}"
+
+          result = subprocess.run(
+              ["git", "log", since, "--pretty=format:%h %s"],
+              capture_output=True,
+              text=True
+          )
+
+          commits = result.stdout.strip().split("\n")
+          filtered = [c for c in commits if "automatic" not in c.lower()]
+
+          if not filtered:
+              print("No relevant commits found.")
+              exit(0)
+
+          prompt = (
+              "Write a concise, journalist-style summary of the past week's software "
+              "development work from these Git commits. Exclude automated tasks, and "
+              "organize the article in a reader-friendly Markdown format:\n\n" +
+              "\n".join(filtered)
+          )
+
+          response = client.chat.completions.create(
+              model="gpt-4",
+              messages=[{"role": "user", "content": prompt}],
+              temperature=0.5,
+              max_tokens=1024
+          )
+
+          article = response.choices[0].message.content
+          with open("weekly-summary.md", "w") as f:
+              f.write(article)
+          EOF
+