update

data/server_list/GPUTOExecl.py

@@ -0,0 +1,172 @@
+from __future__ import annotations
+import os
+import argparse
+from pathlib import Path
+from collections import OrderedDict
+import pandas as pd
+
+# ------------------------------------------------------------
+# Cross-platform root resolver (Windows / Linux / macOS)
+# ------------------------------------------------------------
+def resolve_data_root() -> Path:
+    """
+    Priority:
+      1) Env var IDRAC_DATA_DIR (absolute/relative OK)
+      2) nearest parent of this file that contains a 'data' folder
+      3) ./data under current working directory
+    """
+    env = os.getenv("IDRAC_DATA_DIR")
+    if env:
+        return Path(env).expanduser().resolve()
+
+    here = Path(__file__).resolve()
+    for p in [here] + list(here.parents):
+        if (p / "data").is_dir():
+            return (p / "data").resolve()
+
+    return (Path.cwd() / "data").resolve()
+
+
+DATA_ROOT = resolve_data_root()
+
+# ------------------------------------------------------------
+# Utilities
+# ------------------------------------------------------------
+def read_lines_any_encoding(path: Path) -> list[str]:
+    """Read text file trying common encodings (utf-8/utf-8-sig/cp949/euc-kr/latin-1)."""
+    encodings = ["utf-8-sig", "utf-8", "cp949", "euc-kr", "latin-1"]
+    for enc in encodings:
+        try:
+            with path.open("r", encoding=enc, errors="strict") as f:
+                return f.read().splitlines()
+        except Exception:
+            continue
+    # last resort with replacement
+    with path.open("r", encoding="utf-8", errors="replace") as f:
+        return f.read().splitlines()
+
+
+def parse_txt_with_st(file_path: Path) -> dict:
+    """
+    Parse a .txt file:
+      - First line becomes 'S/T'
+      - Remaining lines in 'Key: Value' form
+    Keeps insertion order.
+    """
+    lines = read_lines_any_encoding(file_path)
+    if not lines:
+        return {}
+
+    data = OrderedDict()
+    data["S/T"] = lines[0].strip()
+
+    for raw in lines[1:]:
+        line = raw.strip()
+        if not line or ":" not in line:
+            continue
+        key, value = line.split(":", 1)
+        data[key.strip()] = value.strip()
+
+    return dict(data)
+
+
+def collect_file_list(input_dir: Path, list_file: Path | None) -> list[Path]:
+    """
+    1) list_file가 주어지고 존재하면: 그 목록 순서대로 <name>.txt를 input_dir에서 찾음
+    2) 없으면: input_dir 안의 *.txt 전체를 파일명 오름차순으로 사용
+    """
+    files: list[Path] = []
+
+    if list_file and list_file.is_file():
+        names = [x.strip() for x in read_lines_any_encoding(list_file) if x.strip()]
+        for name in names:
+            p = input_dir / f"{name}.txt"
+            if p.is_file():
+                files.append(p)
+            else:
+                print(f"[WARN] 파일을 찾을 수 없습니다: {p.name}")
+        return files
+
+    # fallback: 디렉토리 스캔
+    files = sorted(input_dir.glob("*.txt"))
+    if not files:
+        print(f"[WARN] 입력 폴더에 .txt 파일이 없습니다: {input_dir}")
+    return files
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="GUID/GPU 시리얼 텍스트들을 하나의 Excel로 병합"
+    )
+    parser.add_argument(
+        "--preset",
+        choices=["guid", "gpu"],
+        default="guid",
+        help="경로 프리셋 선택 (guid: 기존 GUID 경로, gpu: gpu_serial 폴더)"
+    )
+    parser.add_argument(
+        "--input-dir",
+        type=Path,
+        default=None,
+        help="입력 텍스트 폴더(기본: preset에 따름)"
+    )
+    parser.add_argument(
+        "--list-file",
+        type=Path,
+        default=None,
+        help="처리할 파일명 목록(txt). 없으면 폴더 내 *.txt 전체 처리"
+    )
+    parser.add_argument(
+        "--output-xlsx",
+        type=Path,
+        default=None,
+        help="출력 엑셀 경로(기본: preset에 따름)"
+    )
+    args = parser.parse_args()
+
+    # ---- Preset 기본값 설정 ----
+    if args.preset == "guid":
+        default_input_dir = Path(os.getenv("GUID_TXT_DIR", DATA_ROOT / "guid_file"))
+        default_list_file = Path(os.getenv("GUID_LIST_FILE", DATA_ROOT / "server_list" / "guid_list.txt"))
+        default_output = Path(os.getenv("GUID_OUTPUT_XLSX", DATA_ROOT / "idrac_info" / "XE9680_GUID.xlsx"))
+    else:  # gpu
+        default_input_dir = Path(os.getenv("GPU_TXT_DIR", DATA_ROOT / "gpu_serial"))
+        default_list_file = Path(os.getenv("GPU_LIST_FILE", DATA_ROOT / "server_list" / "gpu_serial_list.txt"))
+        default_output = Path(os.getenv("GPU_OUTPUT_XLSX", DATA_ROOT / "idrac_info" / "GPU_SERIALS.xlsx"))
+
+    input_dir: Path = args.input_dir or default_input_dir
+    list_file: Path | None = args.list_file or (default_list_file if default_list_file.is_file() else None)
+    output_xlsx: Path = args.output_xlsx or default_output
+
+    # 출력 폴더 보장
+    output_xlsx.parent.mkdir(parents=True, exist_ok=True)
+
+    if not input_dir.is_dir():
+        raise FileNotFoundError(f"입력 폴더가 없습니다: {input_dir}")
+
+    # 파일 목록 수집
+    txt_files = collect_file_list(input_dir, list_file)
+
+    # 데이터 누적
+    rows: list[dict] = []
+    for txt_path in txt_files:
+        rows.append(parse_txt_with_st(txt_path))
+
+    if not rows:
+        print("[INFO] 병합할 데이터가 없습니다.")
+        return
+
+    # DataFrame (모든 키의 합집합 컬럼 생성)
+    df = pd.DataFrame(rows)
+
+    # No 열 선두 삽입
+    df.insert(0, "No", range(1, len(df) + 1))
+
+    # 저장
+    df.to_excel(output_xlsx, index=False)
+    print(f"엑셀 파일이 생성되었습니다: {output_xlsx}")
+
+
+if __name__ == "__main__":
+    main()
+

data/server_list/gpu_list.txt

@@ -0,0 +1,3 @@
+8XZCZC4
+910DZC4
+CXZCZC4

data/server_list/guid_list.txt

@@ -1,3 +1 @@
-1XZCZC4
-
-2NYCZC4
+2XZCZC4