Add CI and shadow calibration reporting
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import argparse
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import csv
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import json
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import os
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import sys
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from collections import defaultdict
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PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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if PROJECT_ROOT not in sys.path:
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sys.path.insert(0, PROJECT_ROOT)
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from src.analysis.settlement_rounding import apply_city_settlement # noqa: E402
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from src.data_collection.city_registry import CITY_REGISTRY # noqa: E402
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def main():
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parser = argparse.ArgumentParser(description="Build daily settlement history from historical weather CSV files.")
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parser.add_argument(
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"--history-dir",
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default=os.path.join(PROJECT_ROOT, "data", "historical"),
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help="Directory containing per-city *_historical.csv files.",
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)
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parser.add_argument(
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"--output",
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default=os.path.join(
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PROJECT_ROOT,
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"artifacts",
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"probability_calibration",
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"settlement_history.json",
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),
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help="Output JSON path.",
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)
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args = parser.parse_args()
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result = {}
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for city in sorted(CITY_REGISTRY.keys()):
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path = os.path.join(
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args.history_dir,
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f"{city.replace(' ', '_').lower()}_historical.csv",
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)
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if not os.path.exists(path):
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continue
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daily_max = defaultdict(lambda: None)
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with open(path, "r", encoding="utf-8") as fh:
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reader = csv.DictReader(fh)
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for row in reader:
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ts = str(row.get("time") or "")
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raw_temp = row.get("temperature_2m")
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if not ts or raw_temp in (None, ""):
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continue
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try:
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temp = float(raw_temp)
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except Exception:
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continue
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day = ts[:10]
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prev = daily_max[day]
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if prev is None or temp > prev:
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daily_max[day] = temp
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result[city] = {
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day: {
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"max_temp": round(max_temp, 3),
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"settlement_value": apply_city_settlement(city, max_temp),
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}
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for day, max_temp in sorted(daily_max.items())
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if max_temp is not None
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}
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output_dir = os.path.dirname(os.path.abspath(args.output))
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if output_dir:
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os.makedirs(output_dir, exist_ok=True)
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with open(args.output, "w", encoding="utf-8") as fh:
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json.dump(result, fh, ensure_ascii=False, indent=2)
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print(
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"saved settlement history to {path} for {count} cities".format(
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path=args.output,
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count=len(result),
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)
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)
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if __name__ == "__main__":
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main()
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