From 64effbcbf6750983ac11f47833d94326a182fd3f Mon Sep 17 00:00:00 2001
From: Mika <kontakt@donau2space.de>
Date: Mon, 16 Feb 2026 15:27:12 +0000
Subject: [PATCH] Add statistical_analysis/src/statistical_analysis/cli.py

---
 .../src/statistical_analysis/cli.py           | 73 +++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100644 statistical_analysis/src/statistical_analysis/cli.py

diff --git a/statistical_analysis/src/statistical_analysis/cli.py b/statistical_analysis/src/statistical_analysis/cli.py
new file mode 100644
index 0000000..f518104
--- /dev/null
+++ b/statistical_analysis/src/statistical_analysis/cli.py
@@ -0,0 +1,73 @@
+import argparse
+import json
+import sys
+from pathlib import Path
+from typing import Any, List, Dict
+import pandas as pd
+
+from statistical_analysis.core import analyze_outliers
+
+
+def _load_input_data(input_path: Path) -> List[Dict[str, Any]]:
+    if not input_path.exists():
+        raise FileNotFoundError(f"Input file not found: {input_path}")
+
+    suffix = input_path.suffix.lower()
+    if suffix in (".jsonl", ".json"):
+        with input_path.open("r", encoding="utf-8") as f:
+            data = [json.loads(line) for line in f if line.strip()]
+        return data
+    elif suffix == ".csv":
+        df = pd.read_csv(input_path)
+        return df.to_dict(orient="records")
+    else:
+        raise ValueError(f"Unsupported input format: {suffix}")
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="CLI zur Ausführung der Ausreißeranalyse von Logdaten."
+    )
+    parser.add_argument(
+        "--input",
+        required=True,
+        help="Pfad zu den Logdaten (JSONL oder CSV).",
+    )
+    parser.add_argument(
+        "--output",
+        required=False,
+        help="Pfad zur JSON-Ausgabedatei der Ausreißeranalyse.",
+    )
+
+    args = parser.parse_args()
+    input_path = Path(args.input)
+
+    try:
+        log_data = _load_input_data(input_path)
+    except Exception as exc:
+        sys.stderr.write(f"Fehler beim Einlesen der Daten: {exc}\n")
+        sys.exit(1)
+
+    assert isinstance(log_data, list), "Input-Daten müssen eine Liste von Dicts sein."
+    assert all(isinstance(item, dict) for item in log_data), "Jedes Element muss ein Dict sein."
+
+    try:
+        result = analyze_outliers(log_data)
+    except Exception as exc:
+        sys.stderr.write(f"Analysefehler: {exc}\n")
+        sys.exit(1)
+
+    output_data = [result.__dict__] if not isinstance(result, list) else [r.__dict__ for r in result]
+
+    if args.output:
+        output_path = Path(args.output)
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        with output_path.open("w", encoding="utf-8") as f:
+            json.dump(output_data, f, indent=2, ensure_ascii=False)
+    else:
+        json.dump(output_data, sys.stdout, indent=2, ensure_ascii=False)
+        sys.stdout.write("\n")
+
+
+if __name__ == "__main__":
+    main()