79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
from __future__ import annotations
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import json
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import os
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import sys
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from typing import Any, Dict
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ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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SCHEMA_PATH = os.path.join(ROOT_DIR, "artifacts", "models", "lgbm_daily_high_schema.json")
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def _load_schema(path: str) -> Dict[str, Any]:
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with open(path, "r", encoding="utf-8") as fh:
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data = json.load(fh)
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if not isinstance(data, dict):
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raise SystemExit(f"Invalid schema payload in {path}")
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return data
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def _fmt_metric(value: Any) -> str:
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if value is None:
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return "--"
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try:
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return f"{float(value):.3f}"
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except Exception:
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return str(value)
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def _winner(metrics: Dict[str, Any]) -> str:
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candidates = {
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"LGBM": metrics.get("lgbm_mae"),
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"DEB": metrics.get("deb_mae"),
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"Best Single": metrics.get("best_single_mae"),
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"Median": metrics.get("median_mae"),
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}
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filtered = {k: float(v) for k, v in candidates.items() if v is not None}
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if not filtered:
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return "--"
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return min(filtered.items(), key=lambda item: item[1])[0]
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def _print_block(label: str, metrics: Dict[str, Any]) -> None:
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print(label)
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print(f" Samples : {metrics.get('sample_count', 0)}")
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print(f" LGBM MAE : {_fmt_metric(metrics.get('lgbm_mae'))}")
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print(f" DEB MAE : {_fmt_metric(metrics.get('deb_mae'))}")
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print(f" Best Single : {_fmt_metric(metrics.get('best_single_mae'))}")
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print(f" Model Median : {_fmt_metric(metrics.get('median_mae'))}")
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print(f" Winner : {_winner(metrics)}")
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def main() -> int:
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path = sys.argv[1] if len(sys.argv) > 1 else SCHEMA_PATH
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if not os.path.exists(path):
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raise SystemExit(f"Schema file not found: {path}")
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schema = _load_schema(path)
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metrics = schema.get("metrics") or {}
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validation = metrics.get("validation") or {}
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full_sample = metrics.get("full_sample") or {}
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print("LightGBM Daily High Report")
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print(f" Target : {schema.get('target', '--')}")
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print(f" Horizon : {schema.get('horizon', '--')}")
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print(f" Sample Count : {schema.get('sample_count', 0)}")
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print(f" Train Count : {schema.get('train_count', 0)}")
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print(f" Valid Count : {schema.get('validation_count', 0)}")
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print(f" Trained At : {schema.get('trained_at', '--')}")
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print("")
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_print_block("Validation", validation)
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print("")
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_print_block("Full Sample", full_sample)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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