Add temperature_data_analysis/src/temperature_data_analysis/cli.py
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import argparse
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import csv
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import json
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from pathlib import Path
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from statistics import StatisticsError
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from typing import List
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from temperature_data_analysis.core import analyze_temperature_data
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def _read_temperature_data(csv_path: Path) -> List[float]:
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"""Reads temperature values (°C) from CSV input file."""
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temperatures: List[float] = []
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with csv_path.open(mode="r", encoding="utf-8") as csvfile:
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reader = csv.DictReader(csvfile)
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if "temperature_c" not in reader.fieldnames:
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raise ValueError("CSV file must contain a 'temperature_c' column.")
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for row in reader:
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try:
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value = float(row["temperature_c"])
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temperatures.append(value)
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except (ValueError, TypeError):
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continue # skip invalid entries
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if not temperatures:
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raise ValueError("No valid temperature values found in CSV file.")
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return temperatures
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def _write_json_output(output_path: Path, result_dict: dict) -> None:
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"""Writes the analysis result dictionary to a JSON output file."""
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with output_path.open(mode="w", encoding="utf-8") as f:
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json.dump(result_dict, f, indent=2)
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def main() -> None:
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"""CLI entry point for temperature data analysis."""
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parser = argparse.ArgumentParser(
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description="Analyse von Temperaturdaten aus CSV-Dateien."
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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 CSV-Datei mit Temperaturmesswerten."
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)
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parser.add_argument(
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"--output",
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required=True,
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help="Pfad zur JSON-Ausgabedatei mit den Analyseergebnissen."
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)
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args = parser.parse_args()
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input_path = Path(args.input)
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output_path = Path(args.output)
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assert input_path.exists(), f"Input file not found: {input_path}"
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try:
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data = _read_temperature_data(input_path)
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result_dict = analyze_temperature_data(data)
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_write_json_output(output_path, result_dict)
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print(f"Analysis completed. Results written to {output_path}.")
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except (ValueError, StatisticsError) as e:
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print(f"Error during analysis: {e}")
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raise SystemExit(1)
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if __name__ == "__main__":
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main()
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