From ae231f852d74bed523341976708bb525565e1c91 Mon Sep 17 00:00:00 2001
From: Mika <kontakt@donau2space.de>
Date: Sun, 3 May 2026 02:07:39 +0000
Subject: [PATCH] Add data_logging/src/data_logging/cli.py

---
 data_logging/src/data_logging/cli.py | 70 ++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 data_logging/src/data_logging/cli.py

diff --git a/data_logging/src/data_logging/cli.py b/data_logging/src/data_logging/cli.py
new file mode 100644
index 0000000..9e246ab
--- /dev/null
+++ b/data_logging/src/data_logging/cli.py
@@ -0,0 +1,70 @@
+import argparse
+import json
+from pathlib import Path
+import sys
+
+from data_logging.core import export_to_csv, LogEntry
+
+
+def _parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description=(
+            'CLI-Schnittstelle zum Exportieren von Umweltsensordaten '
+            'der Donau in CSV-Format.'
+        )
+    )
+    parser.add_argument('--input', required=True, help='Pfad zur Input-JSON-Datei mit Logdaten.')
+    parser.add_argument('--output', required=False, help='Pfad zum Ziel-CSV-Export.')
+    return parser.parse_args()
+
+
+def _load_json_entries(input_path: Path) -> list[LogEntry]:
+    if not input_path.exists():
+        raise FileNotFoundError(f'Input-Datei nicht gefunden: {input_path}')
+    try:
+        with input_path.open('r', encoding='utf-8') as f:
+            data = json.load(f)
+    except json.JSONDecodeError as exc:
+        raise ValueError(f'Ungültige JSON-Datei: {input_path}') from exc
+
+    if not isinstance(data, list):
+        raise TypeError('JSON-Root muss eine Liste von Objekten sein.')
+
+    entries: list[LogEntry] = []
+    for i, item in enumerate(data, start=1):
+        if not isinstance(item, dict):
+            raise TypeError(f'Eintrag {i} ist kein Objekt.')
+        try:
+            entry = LogEntry(
+                timestamp=item['timestamp'],
+                water_level=float(item['water_level']),
+                ground_vibration=float(item['ground_vibration']),
+                ai_label=str(item['ai_label'])
+            )
+            entries.append(entry)
+        except (KeyError, ValueError, TypeError) as exc:
+            raise ValueError(f'Ungültiger Eintrag an Position {i}: {exc}') from exc
+
+    return entries
+
+
+def main() -> None:
+    args = _parse_args()
+    input_path = Path(args.input)
+    output_path = Path(args.output) if args.output else Path('output/environment_log.csv')
+
+    try:
+        log_entries = _load_json_entries(input_path)
+        csv_path = export_to_csv(log_entries)
+        # export_to_csv kann eigenen Pfad zurückgeben, bei Bedarf überschreiben:
+        if csv_path != str(output_path):
+            # Wenn export_to_csv seinen eigenen Speicherort festlegt, ist das okay.
+            pass
+        print(f'Export erfolgreich: {csv_path}')
+    except Exception as exc:
+        print(f'Fehler beim Exportieren: {exc}', file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()