Initial commit

data/server_list/excel.py

@@ -0,0 +1,109 @@
+from __future__ import annotations
+import os
+from pathlib import Path
+import pandas as pd
+
+# ---------------------------------------------
+# Cross-platform paths (Windows & Linux/Mac)
+# ---------------------------------------------
+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()
+
+SERVER_LIST_DIR = DATA_ROOT / "server_list"
+SERVER_LIST_FILE = SERVER_LIST_DIR / "server_list.txt"
+
+MAC_TXT_DIR = DATA_ROOT / "mac"
+OUTPUT_XLSX = DATA_ROOT / "idrac_info" / "mac_info.xlsx"
+
+# Ensure output directory exists
+OUTPUT_XLSX.parent.mkdir(parents=True, exist_ok=True)
+
+# ---------------------------------------------
+# Helpers
+# ---------------------------------------------
+def read_lines_any_encoding(path: Path) -> list[str]:
+    """Read a text file trying common encodings (handles Windows & UTF-8)."""
+    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()
+
+# ---------------------------------------------
+# Load server list (file names without .txt)
+# ---------------------------------------------
+if not SERVER_LIST_FILE.is_file():
+    raise FileNotFoundError(f"server_list.txt not found: {SERVER_LIST_FILE}")
+
+file_names = read_lines_any_encoding(SERVER_LIST_FILE)
+
+data_list: list[str] = []
+index_list: list[int | str] = []
+
+sequence_number = 1
+
+for name in file_names:
+    # normalize and skip blanks
+    base = (name or "").strip()
+    if not base:
+        continue
+
+    txt_path = MAC_TXT_DIR / f"{base}.txt"
+    if not txt_path.is_file():
+        # if a file is missing, keep row aligned with an empty line
+        data_list.append("")
+        index_list.append("")
+        continue
+
+    lines = read_lines_any_encoding(txt_path)
+    for line in lines:
+        cleaned = (line or "").strip().upper()
+        if cleaned:
+            data_list.append(cleaned)
+            if len(cleaned) == 7:
+                index_list.append(sequence_number)
+                sequence_number += 1
+            else:
+                index_list.append("")  # keep column blank if not 7 chars
+        else:
+            data_list.append("")
+            index_list.append("")
+
+print(f"Length of index_list: {len(index_list)}")
+print(f"Length of data_list: {len(data_list)}")
+
+# ---------------------------------------------
+# Save to Excel
+# ---------------------------------------------
+df = pd.DataFrame({
+    "Index": index_list,   # will be column A
+    "Content": data_list,  # will be column B
+})
+
+# header=False to start at column A without headers, index=False to omit row numbers
+df.to_excel(OUTPUT_XLSX, index=False, header=False)
+
+print(f"Saved: {OUTPUT_XLSX}")