feat(application): integrate measured-load ingestion training and planner source
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"""Verify the separately staged forecast repair before target-runtime testing.
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Only explicit Python source and requirements are copied. No models, credentials,
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live databases or telemetry are needed by this offline test image.
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"""
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from pathlib import Path
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import hashlib
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import json
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def source_paths(root):
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root = Path(root)
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paths = [root / 'requirements.txt'] + list(root.glob('*.py'))
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for folder in ('methods', 'tests'):
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paths.extend((root / folder).glob('*.py'))
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if not (root / 'telemetry_quality.py').is_file():
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raise ValueError('Forecast telemetry repair missing')
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for path in paths:
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if path.is_symlink() or not path.resolve().is_relative_to(root.resolve()):
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raise ValueError('External forecast source is not allowed')
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return sorted(paths)
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def verify_forecast_bundle(bundle, source):
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bundle, source = Path(bundle), Path(source)
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manifest_path = bundle / 'SOURCE_MANIFEST.json'
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manifest = json.loads(manifest_path.read_text())
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expected_paths = {str(p.relative_to(source)) for p in source_paths(source)}
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if not isinstance(manifest, dict) or not manifest or set(manifest) != expected_paths:
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raise ValueError('Forecast source set changed; rebuild reviewed test bundle')
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if {str(p.relative_to(bundle)) for p in source_paths(bundle)} != expected_paths:
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raise ValueError('Staged forecast source set does not match development source')
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for relative, expected in manifest.items():
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if Path(relative).is_absolute() or '..' in Path(relative).parts:
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raise ValueError('Unsafe forecast manifest path')
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for path in (source / relative, bundle / relative):
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if not path.is_file() or path.is_symlink() or hashlib.sha256(path.read_bytes()).hexdigest() != expected:
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raise ValueError('Forecast source changed after staging; review before test')
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return dict(manifest)
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