Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license

skills/productivity/xlsx/scripts/csv_to_xlsx.py

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+#!/usr/bin/env python3
+"""Convert a CSV file to a styled .xlsx workbook with type inference.
+
+Type inference per cell (disable with --no-infer):
+  int, float, bool ("true"/"false", case-insensitive), ISO date
+  (YYYY-MM-DD) and ISO datetime; everything else stays a string.
+
+Styling applied by default (disable with --plain):
+  bold header row with a light fill, frozen top row, autofilter over the
+  data range, and column widths sized to the longest cell (capped at 60).
+
+Usage:
+  csv_to_xlsx.py data.csv out.xlsx
+  csv_to_xlsx.py data.csv out.xlsx --sheet-name Import --encoding cp1252
+  csv_to_xlsx.py data.csv out.xlsx --delimiter ';' --no-infer
+"""
+from __future__ import annotations
+
+import argparse
+import csv
+import json
+import sys
+from datetime import date, datetime
+
+from openpyxl import Workbook
+from openpyxl.styles import Font, PatternFill
+from openpyxl.utils import get_column_letter
+
+MAX_COL_WIDTH = 60
+COL_PADDING = 2
+DEFAULT_COL_WIDTH = 8
+
+
+def infer(text):
+    if text == "":
+        return None
+    low = text.lower()
+    if low in ("true", "false"):
+        return low == "true"
+    for caster in (int, float):
+        try:
+            return caster(text)
+        except ValueError:
+            pass
+    for parser in (date.fromisoformat, datetime.fromisoformat):
+        try:
+            return parser(text)
+        except ValueError:
+            pass
+    return text
+
+
+def main(argv=None):
+    ap = argparse.ArgumentParser(description="CSV -> styled .xlsx converter.")
+    ap.add_argument("csv_file", help="input CSV path")
+    ap.add_argument("output", help="output .xlsx path")
+    ap.add_argument("--sheet-name", default="Sheet1")
+    ap.add_argument("--encoding", default="utf-8",
+                    help="CSV file encoding (default utf-8)")
+    ap.add_argument("--delimiter", default=",")
+    ap.add_argument("--no-infer", action="store_true",
+                    help="keep every cell as a string")
+    ap.add_argument("--plain", action="store_true",
+                    help="skip header styling / freeze / autofilter")
+    args = ap.parse_args(argv)
+
+    with open(args.csv_file, newline="", encoding=args.encoding) as fh:
+        rows = list(csv.reader(fh, delimiter=args.delimiter))
+
+    wb = Workbook()
+    ws = wb.active
+    ws.title = args.sheet_name
+    for i, row in enumerate(rows):
+        if args.no_infer or i == 0:
+            ws.append(row)
+        else:
+            ws.append([infer(cell) for cell in row])
+
+    if rows and not args.plain:
+        header_font = Font(bold=True)
+        header_fill = PatternFill("solid", fgColor="DDEBF7")
+        for cell in ws[1]:
+            cell.font = header_font
+            cell.fill = header_fill
+        ws.freeze_panes = "A2"
+        ws.auto_filter.ref = ws.dimensions
+        for col_idx in range(1, ws.max_column + 1):
+            longest = max((len(str(r[col_idx - 1])) for r in rows
+                           if len(r) >= col_idx), default=DEFAULT_COL_WIDTH)
+            ws.column_dimensions[get_column_letter(col_idx)].width = \
+                min(longest + COL_PADDING, MAX_COL_WIDTH)
+
+    wb.save(args.output)
+    print(json.dumps({"ok": True, "output": args.output,
+                      "rows": len(rows)}, ensure_ascii=False))
+    return 0
+
+
+if __name__ == "__main__":
+    try:
+        sys.exit(main())
+    except Exception as exc:  # noqa: BLE001
+        print(json.dumps({"ok": False, "error": str(exc)}), file=sys.stderr)
+        sys.exit(1)