feat(application): integrate measured-load ingestion training and planner source

services/netplan-v4/acceptance/check_forecast.py

@@ -0,0 +1,36 @@
+"""Offline candidate-forecast tests: no telemetry, model loading or publication.
+Run in an unprivileged, networkless test container with no live data volumes.
+"""
+from pathlib import Path
+import ast
+import hashlib
+import json
+import sys
+import unittest
+
+
+def main():
+    root = Path('/app/forecast')
+    sys.path.insert(0, str(root))
+    manifest = json.loads((root / 'SOURCE_MANIFEST.json').read_text())
+    for relative, expected in manifest.items():
+        p = root / relative
+        if Path(relative).is_absolute() or '..' in Path(relative).parts or not p.resolve().is_relative_to(root):
+            raise ValueError('Unsafe manifest path')
+        raw = p.read_bytes()
+        if hashlib.sha256(raw).hexdigest() != expected:
+            raise ValueError('Test image source checksum mismatch')
+        if p.suffix == '.py':
+            ast.parse(raw, filename=str(p))
+    import pandas, numpy, scipy, sklearn
+    versions = {'python': sys.version.split()[0], 'pandas': pandas.__version__,
+                'numpy': numpy.__version__, 'scipy': scipy.__version__, 'sklearn': sklearn.__version__}
+    print('Candidate forecast runtime:', json.dumps(versions), flush=True)
+    suite = unittest.defaultTestLoader.discover(str(root / 'tests'))
+    result = unittest.TextTestRunner(verbosity=2).run(suite)
+    print('Forecast tests only; no live data, no publication, no training job.', flush=True)
+    return 0 if result.wasSuccessful() else 1
+
+
+if __name__ == '__main__':
+    raise SystemExit(main())