From 813e875cdf1e5b8abf95f0f5d801461d675eb67a Mon Sep 17 00:00:00 2001
From: omicron <omicron.me@protonmail.com>
Date: Tue, 30 Sep 2025 11:10:26 +0200
Subject: [PATCH] Make set/unique extract script use item-names.json

---
 contrib/uniques.py | 35 +++++++++++++++++++++++++----------
 1 file changed, 25 insertions(+), 10 deletions(-)

diff --git a/contrib/uniques.py b/contrib/uniques.py
index c2e41b8..c77353e 100644
--- a/contrib/uniques.py
+++ b/contrib/uniques.py
@@ -1,21 +1,36 @@
 import csv
 import json
-import os
-import sys
+import argparse
+from pathlib import Path
 
-path = sys.argv[1] if len(sys.argv) >= 2 else "."
+parser = argparse.ArgumentParser(
+    description="Process unique and set items from game data"
+)
+parser.add_argument(
+    "DATA_DIR", help="Path to d2 data dir containing local/ and global/"
+)
+parser.add_argument("OUTPUT_DIR", help="Path to destination directory")
+args = parser.parse_args()
+
+excelpath = Path(args.DATA_DIR) / "global/excel"
+outputpath = Path(args.OUTPUT_DIR)
+namespath = Path(args.DATA_DIR) / "local/lng/strings/item-names.json"
+
+with namespath.open(encoding="utf-8-sig") as f:
+    names = json.load(f)
+names = {name["Key"]: name["enUS"] for name in names}
 
 category = "Base"
 setitems = {}
-with open(os.path.join(path, "setitems.txt")) as f:
+with (excelpath / "setitems.txt").open() as f:
     dr = csv.DictReader(f, delimiter="\t")
     for row in dr:
         if row["index"] == "Expansion":
             category = row["index"]
             continue
         setitems[row["*ID"]] = {
-            "name": row["index"],
-            "set": row["set"],
+            "name": names[row["index"]],
+            "set": names[row["set"]],
             "itembase": row["item"],
             "req_lvl": int(row["lvl req"]),
             "ilvl": int(row["lvl"]),
@@ -25,7 +40,7 @@ with open(os.path.join(path, "setitems.txt")) as f:
 
 category = "Base"
 uniqueitems = {}
-with open(os.path.join(path, "uniqueitems.txt")) as f:
+with (excelpath / "uniqueitems.txt").open() as f:
     dr = csv.DictReader(f, delimiter="\t")
     for row in dr:
         if row["index"] in [
@@ -42,7 +57,7 @@ with open(os.path.join(path, "uniqueitems.txt")) as f:
         if len(row["lvl req"]) == 0:
             continue  # deleted uniques
         uniqueitems[row["*ID"]] = {
-            "name": row["index"],
+            "name": names[row["index"]],
             "itembase": row["code"],
             "req_lvl": int(row["lvl req"]),
             "ilvl": int(row["lvl"]),
@@ -50,10 +65,10 @@ with open(os.path.join(path, "uniqueitems.txt")) as f:
             "category": category,
         }
 
-with open("uniques.json", "w", newline="\n") as f:
+with (outputpath / "uniques.json").open("w", newline="\n") as f:
     json.dump(uniqueitems, f, indent=4)
     f.write("\n")
 
-with open("sets.json", "w", newline="\n") as f:
+with (outputpath / "sets.json").open("w", newline="\n") as f:
     json.dump(setitems, f, indent=4)
     f.write("\n")