✨ Outfits

data/convert/31-2/db.py

@@ -30,6 +30,15 @@ class Ranged(db.Entity):
     stats = Required(int)
 
 
+class Outfit(db.Entity):
+    name = Required(str)
+    name_en = Required(str)
+    description = Optional(str)
+    icon = Required(bytes)
+    preview = Optional(bytes)
+    cell_cost = Required(int)
+
+
 if __name__ == "__main__":
     db.bind(provider="sqlite", filename="../../clean/31-2/data.sqlite3")
     db.generate_mapping(create_tables=True)

data/convert/31-2/outfits.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+# # -*- coding: utf-8 -*-
+
+import json
+import re
+import io
+from db import *
+from PIL import Image
+
+with open("../../extraction/raw-31-2/data.cdb.json") as f:
+    raw = json.load(f)
+with open("../../clean/31-2/main.zh.mo.json") as f:
+    trans = json.load(f)
+with open("../../clean/31-2/main.en.mo.json") as f:
+    trans_en = json.load(f)
+img = Image.open("../../extraction/raw-31-2/cardIcons.png")
+
+db.bind(provider="sqlite", filename="../../clean/31-2/data.sqlite3")
+db.generate_mapping()
+
+lines = raw["sheets"][1]["lines"]
+
+with db_session:
+    for i in lines:
+        if i["group"] == 13:
+            if not i["name"]:
+                continue
+            if i["id"] == "KingsHandBoss":
+                continue
+            raw_name = i["name"].strip()
+            i["name"] = trans[raw_name]["msgstr"][0]
+            i["name"] = re.sub(r"。", r"", i["name"])
+            i["name_en"] = trans_en[raw_name]["msgstr"][0]
+            i["name_en"] = re.sub(r"outfit", r"Outfit", i["name_en"])
+            i["gameplayDesc"] = trans[i["gameplayDesc"].strip()]["msgstr"][0]
+            x = i["icon"]["x"] * 24
+            y = i["icon"]["y"] * 24
+            box = (x, y, x + 24, y + 24)
+            region = img.crop(box)
+            region_arr = io.BytesIO()
+            region.save(region_arr, format="PNG")
+
+            Outfit(
+                name=i["name"],
+                name_en=i["name_en"],
+                description=i["gameplayDesc"],
+                icon=region_arr.getbuffer().tobytes(),
+                cell_cost=i["cellCost"],
+            )