Add measurement_logging/src/measurement_logging/cli.py
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measurement_logging/src/measurement_logging/cli.py
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66
measurement_logging/src/measurement_logging/cli.py
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import argparse
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import json
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import sys
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from pathlib import Path
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from typing import Any
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from measurement_logging.core import log_measurement
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="CLI-Tool zum Loggen von Nachtfotografie-Messdaten (Temperatur, Feuchte, Kameraeinstellungen)."
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)
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parser.add_argument(
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"--input",
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required=True,
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help="Pfad zur JSON-Datei mit den Messwerten."
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)
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parser.add_argument(
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"--output",
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required=False,
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default="output/measurements.csv",
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help="Pfad zur CSV-Datei, in die die Messdaten geschrieben werden (Standard: output/measurements.csv)."
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)
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return parser.parse_args()
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def read_measurement_json(input_path: Path) -> dict[str, Any]:
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if not input_path.exists():
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raise FileNotFoundError(f"Eingabedatei nicht gefunden: {input_path}")
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with input_path.open("r", encoding="utf-8") as f:
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data = json.load(f)
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required_fields = [
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"time",
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"temperature",
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"humidity",
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"iso",
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"exposure",
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"rms_noise",
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]
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for field in required_fields:
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if field not in data:
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raise ValueError(f"Feld '{field}' fehlt in der Eingabedatei {input_path}.")
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return data
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def main() -> None:
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args = parse_args()
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try:
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measurement_data = read_measurement_json(Path(args.input))
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log_measurement(
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time=measurement_data["time"],
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temperature=float(measurement_data["temperature"]),
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humidity=float(measurement_data["humidity"]),
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iso=int(measurement_data["iso"]),
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exposure=float(measurement_data["exposure"]),
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rms_noise=float(measurement_data["rms_noise"]),
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)
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print(f"Messdaten erfolgreich geloggt in {args.output}.")
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except Exception as exc:
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print(f"Fehler: {exc}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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