Add test code to verify CI pipeline

- src/train.py: example training script
- tests/test_train.py: pytest test
- requirements.txt: pandas, scikit-learn
- Fix ci.yaml: use python:3.10-slim container

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.gitea/workflows/ci.yaml

@@ -8,16 +8,13 @@ on:
 
 jobs:
   lint-and-test:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
+    container:
+      image: python:3.10-slim
     steps:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.10"
-
       - name: Install dependencies
         run: |
           pip install -r requirements.txt

requirements.txt

@@ -0,0 +1,2 @@
+pandas>=2.0.0
+scikit-learn>=1.3.0

src/train.py

@@ -0,0 +1,23 @@
+"""Example training script for MLOps pipeline test."""
+import json
+import os
+
+
+def train():
+    """Simple training function for pipeline testing."""
+    model_info = {
+        "model": "test-model",
+        "version": "0.1.0",
+        "accuracy": 0.95,
+    }
+
+    os.makedirs("models", exist_ok=True)
+    with open("models/model_info.json", "w") as f:
+        json.dump(model_info, f, indent=2)
+
+    print(f"Training complete: {model_info}")
+    return model_info
+
+
+if __name__ == "__main__":
+    train()

tests/test_train.py

@@ -0,0 +1,9 @@
+"""Tests for training script."""
+from src.train import train
+
+
+def test_train_returns_model_info():
+    result = train()
+    assert result["model"] == "test-model"
+    assert "accuracy" in result
+    assert result["accuracy"] > 0