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import sqlite3
import csv
import os
import glob
import re
import xml.etree.ElementTree as ET
# -----------------------------
# CONFIG
# -----------------------------
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
BASE_ROOT = os.path.dirname(SCRIPT_DIR)
TABLEDUMPS_DIR = os.path.join(BASE_ROOT, "TABLEDUMPS")
FOLDER_ORDER = [
r"",
r"OBJECTCATALOGUES-MIX-DEC",
r"OBJECTCATALOGUES-MIX-BETA",
r"OBJECTCATALOGUES-MIX-DEV",
]
DB_PATTERNS = [
"ObjectCatalogue_5_*.sql"
]
XML_PATTERNS = [
"OBJECTCATALOGUE_*.xml",
"ObjectCatalogue_*.xml",
]
SHA1_SUFFIX_PATTERN = re.compile(r"_[0-9a-fA-F]{40}$")
OBJECTS_HEADER = [
"ObjectIndex",
"ObjectId",
"Version",
"Location",
"InventoryEntryType",
"ArchiveTimeStamp",
"OdcSha1Digest",
"EntitlementIndex",
"RewardIndex",
"UserLocation",
"UserDateLastUsed",
]
METADATA_HEADER = [
"ObjectIndex",
"KeyName",
"Value",
]
TAGS_TRANSLATIONS = {
'00000000-00000000-00000000-00010047': {
'zh-TW': '牛仔帽(淺褐)',
'zh-HK': '牛仔帽(淺褐)',
'ja-JP': 'カウボーイハット(ライトブラウン)',
'ko-KR': '카우보이 모자(라이트 브라운)',
'de-DE': 'Beiger Cowboyhut',
'fr-FR': 'Chapeau cowboy camel',
'es-ES': 'Sombrero cowboy canela'
},
'00000000-00000000-00000000-00030027': {
'zh-TW': '連帽上衣(灰)',
'zh-HK': '連帽上衣(灰)',
'ja-JP': 'パーカー(グレー)',
'ko-KR': '파카(그레이)',
'de-DE': 'Grauer Kapuzenpulli',
'fr-FR': 'Haut capuche gris',
'es-ES': 'Jersey gris con capucha'
},
'00000000-00000000-00000000-00030054': {
'zh-TW': '軍外套(綠)',
'zh-HK': '軍外套(綠)',
'ja-JP': 'ミリタリージャケット(グリーン)',
'ko-KR': '밀리터리 재킷(그린)',
'de-DE': 'Grüne Militärjacke',
'fr-FR': 'Veste militaire verte',
'es-ES': 'Chaqueta militar verde'
},
'00000000-00000000-00000000-00030065': {
'zh-TW': '套頭杉(黑)',
'zh-HK': '套頭杉(黑)',
'ja-JP': 'タートルネック(ブラック)',
'ko-KR': '넥(블랙)',
'de-DE': 'Schwarzer Rollkragen',
'fr-FR': 'Col roulé noir',
'es-ES': 'Jersey cuello alto negro'
},
'00000000-00000000-00000000-00030076': {
'zh-TW': '綠色條紋開襟衫',
'zh-HK': '綠色條紋開襟衫',
'ja-JP': 'グリーンのストライプカーディガン',
'ko-KR': '녹색 줄무늬 카디건',
'de-DE': 'Grün gestreifte Strickjacke',
'fr-FR': 'Cardigan rayures vert',
'es-ES': 'Rebeca verde'
},
'00000000-00000000-00000000-00040013': {
'zh-TW': '運動褲(紅)',
'zh-HK': '運動褲(紅)',
'ja-JP': 'スウェットパンツ(レッド)',
'ko-KR': '팬츠(레드)',
'de-DE': 'Rote Jogginghose',
'fr-FR': 'Bas survêtement rouge',
'es-ES': 'Pantalones chándal rojos'
},
'00000000-00000000-00000000-00040026': {
'zh-TW': '灰色西裝長褲',
'zh-HK': '灰色西裝長褲',
'ja-JP': 'グレーのドレスパンツ',
'ko-KR': '회색 정장 바지',
'de-DE': 'Graue Anzughose',
'fr-FR': 'Pantalon ville gris',
'es-ES': 'Pantalones etiqueta grises'
},
'00000000-00000000-00000000-00040051': {
'zh-TW': '打折牛仔褲(黑)',
'zh-HK': '打折牛仔褲(黑)',
'ja-JP': '折り返したジーンズ(ブラック)',
'ko-KR': '접어올린 진(블랙)',
'de-DE': 'Schwarze Jeans umgeschlagen',
'fr-FR': 'Jean noir retroussé',
'es-ES': 'Vaqueros negros con dobladillo'
},
'00000000-00000000-00000000-00050012': {
'zh-TW': '籃球鞋(紅)',
'zh-HK': '籃球鞋(紅)',
'ja-JP': 'バスケットシューズ(レッド)',
'ko-KR': '농구화(레드)',
'de-DE': 'Rote Basketballstiefel',
'fr-FR': 'Baskets montantes rouges',
'es-ES': 'Botas baloncesto rojas'
},
'00000000-00000000-00000000-00050014': {
'zh-TW': '棕色時尚運動鞋',
'zh-HK': '棕色時尚運動鞋',
'ja-JP': 'ブラウンのファッションスニーカー',
'ko-KR': '갈색 패션 운동화',
'de-DE': 'Braune modische Turnschuhe',
'fr-FR': 'Tennis mode marron',
'es-ES': 'Zapatillas modernas marrones'
},
'00000000-00000000-00000000-00050019': {
'zh-TW': '懶人鞋(褐)',
'zh-HK': '懶人鞋(褐)',
'ja-JP': 'スリップオンスニーカー(ブラウン)',
'ko-KR': '슬립온 운동화(브라운)',
'de-DE': 'Braune Sportslipper',
'fr-FR': 'Tennis sans lacets marron',
'es-ES': 'Zapatillas sin cordones marrones'
},
'00000000-00000000-00000000-00050031': {
'zh-TW': '尖頭鞋(黑×白)',
'zh-HK': '尖頭鞋(黑×白)',
'ja-JP': 'トンガリ靴(ブラック×ホワイト)',
'ko-KR': '구두(블랙X화이트)',
'de-DE': 'Schwarz-weiße spitze Schuhe',
'fr-FR': 'Winkle-pickers noir blanc',
'es-ES': 'Zapatos punta negros blancos'
},
'00000000-00000000-00000000-00060002': {
'zh-TW': '細框眼鏡',
'zh-HK': '細框眼鏡',
'ja-JP': '細いフレームのメガネ',
'ko-KR': '얇은 테 안경',
'de-DE': 'Brille mit leichtem Rahmen',
'fr-FR': 'Lunettes fines',
'es-ES': 'Gafas montura ligera'
},
'00000000-00000000-00000000-01010062': {
'zh-TW': '綠色貝雷帽',
'zh-HK': '綠色貝雷帽',
'ja-JP': 'グリーンのベレー帽',
'ko-KR': '녹색 베레모',
'de-DE': 'Grüne Baskenmütze',
'fr-FR': 'Béret vert',
'es-ES': 'Boina verde'
},
'00000000-00000000-00000000-01030019': {
'zh-TW': '多層次T-shirt(灰×奶油)',
'zh-HK': '多層次T-shirt(灰×奶油)',
'ja-JP': 'レイヤードTシャツ(グリーン×クリーム)',
'ko-KR': '레이어드 셔츠(그린X크림)',
'de-DE': 'Grün-cremefarben Lagen T-Shirt',
'fr-FR': 'T-shirt vert crème',
'es-ES': 'Camiseta capas verde crema'
},
'00000000-00000000-00000000-01030036': {
'zh-TW': '牛仔衣(藍×褐)',
'zh-HK': '牛仔衣(藍×褐)',
'ja-JP': 'デニムジャケット(ブルー×ブラウン)',
'ko-KR': '재킷(블루X브라운)',
'de-DE': 'Blau-braune Jeansjacke',
'fr-FR': 'Veste jean bleu marron',
'es-ES': 'Chaqueta vaquera azul marrón'
},
'00000000-00000000-00000000-01030060': {
'zh-TW': '灰色背心配白色襯衫',
'zh-HK': '灰色背心配白色襯衫',
'ja-JP': 'ホワイトブラウスの上にグレーのタンクトップ',
'ko-KR': '흰색 블라우스 위에 회색 탱크톱',
'de-DE': 'Graues Tanktop über weißer Bluse',
'fr-FR': 'Débardeur gris sur chemisier blanc',
'es-ES': 'Chaleco gris sobre camiseta blanca'
},
'00000000-00000000-00000000-01030078': {
'zh-TW': '肚兜式禮服(雛菊)',
'zh-HK': '肚兜式禮服(雛菊)',
'ja-JP': 'ホルターネックドレス(デイジー)',
'ko-KR': '홀터넥 드레스(데이지)',
'de-DE': 'Neckholder-Top mit Blümchen',
'fr-FR': 'Dos marguerites',
'es-ES': 'Camiseta sin espalda con margaritas'
},
'00000000-00000000-00000000-01040022': {
'zh-TW': '運動褲(白)',
'zh-HK': '運動褲(白)',
'ja-JP': 'スウェットパンツ(ホワイト)',
'ko-KR': '팬츠(화이트)',
'de-DE': 'Weiße Jogginghose',
'fr-FR': 'Bas survêtement blanc',
'es-ES': 'Pantalones chándal blancos'
},
'00000000-00000000-00000000-01040039': {
'zh-TW': '短褲(花呢)',
'zh-HK': '短褲(花呢)',
'ja-JP': 'ショートパンツ(ツイード)',
'ko-KR': '팬츠(트위드)',
'de-DE': 'Tweed-Shorts',
'fr-FR': 'Short tweed',
'es-ES': 'Pantalones cortos tweed'
},
'00000000-00000000-00000000-01040061': {
'zh-TW': '摺腳牛仔褲(深藍)',
'zh-HK': '摺腳牛仔褲(深藍)',
'ja-JP': '折り返したジーンズ(ダークブルー)',
'ko-KR': '접어올린 진(다크 블루)',
'de-DE': 'Dunkelblaue Jeans umgeschlagen',
'fr-FR': 'Jean bleu foncé retroussé',
'es-ES': 'Vaqueros azules oscuros con dobladillo'
},
'00000000-00000000-00000000-01050024': {
'zh-TW': '籃球鞋(粉紅)',
'zh-HK': '籃球鞋(粉紅)',
'ja-JP': 'バスケットシューズ(ピンク)',
'ko-KR': '농구화(핑크)',
'de-DE': 'Pinke Basketballstiefel',
'fr-FR': 'Baskets montantes roses',
'es-ES': 'Botas baloncesto rosas'
},
'00000000-00000000-00000000-01050041': {
'zh-TW': '工作靴(黑)',
'zh-HK': '工作靴(黑)',
'ja-JP': 'ワークブーツ(ブラック)',
'ko-KR': '부츠(블랙)',
'de-DE': 'Schwarze Arbeitsstiefel',
'fr-FR': 'Bottes travail noires',
'es-ES': 'Botas trabajo negras'
},
'00000000-00000000-00000000-01050048': {
'zh-TW': '健走涼鞋(褐)',
'zh-HK': '健走涼鞋(褐)',
'ja-JP': 'ウォーキングサンダル(ブラウン)',
'ko-KR': '샌들(브라운)',
'de-DE': 'Braune Trekking-Sandalen',
'fr-FR': 'Sandales marche marron',
'es-ES': 'Sandalias para caminar marrones'
},
'00000000-00000000-00000000-01050056': {
'zh-TW': '紅色高跟鞋',
'zh-HK': '紅色高跟鞋',
'ja-JP': 'レッドのハイヒール',
'ko-KR': '빨간색 하이힐',
'de-DE': 'Rote Schuhe mit hohen Absätzen',
'fr-FR': 'Chaussures à talons rouges',
'es-ES': 'Zapatos de tacón rojos'
},
'00000000-00000000-00000000-01060001': {
'zh-TW': '粗框眼鏡',
'zh-HK': '粗框眼鏡',
'ja-JP': '太いフレームのメガネ',
'ko-KR': '두꺼운 테 안경',
'de-DE': 'Brille mit schwerem Rahmen',
'fr-FR': 'Lunettes épaisses',
'es-ES': 'Gafas montura pesada'
},
'00000000-00000000-00000000-01060017': {
'zh-TW': '星形太陽眼鏡',
'zh-HK': '星形太陽眼鏡',
'ja-JP': '星型サングラス',
'ko-KR': '선글래스',
'de-DE': 'Stern-Sonnenbrille',
'fr-FR': 'Lunettes soleil étoiles',
'es-ES': 'Gafas sol estrella'
},
'00000000-00000000-00000002-00000017': {
'ja-JP': 'チェア(サマーハウス)'
},
'00000000-00000000-00000002-00000031': {
'ja-JP': 'サボテン1'
},
'00000000-00000000-00000002-00000046': {
'ja-JP': 'あひるのおもちゃ'
}
}
def get_script_dir():
return os.path.dirname(os.path.abspath(__file__))
def find_sqlite_files(folder):
files = []
for pattern in DB_PATTERNS:
files.extend(glob.glob(os.path.join(folder, pattern)))
return sorted(set(files), key=str.lower)
def find_xml_files(folder):
files = []
for pattern in XML_PATTERNS:
files.extend(glob.glob(os.path.join(folder, pattern)))
return sorted(set(files), key=str.lower)
def strip_sha1(filename):
base = os.path.splitext(os.path.basename(filename))[0]
return SHA1_SUFFIX_PATTERN.sub("", base)
def decode_blob(value):
try:
return value.decode("utf-8")
except (UnicodeDecodeError, AttributeError):
if isinstance(value, (bytes, bytearray)):
return value.hex().upper()[:40]
return value
def ensure_dir(path):
os.makedirs(path, exist_ok=True)
def csv_exists(base_name, out_dir):
objects_csv = os.path.join(
out_dir,
f"{base_name}_Objects.csv"
)
metadata_csv = os.path.join(
out_dir,
f"{base_name}_Metadata.csv"
)
return (
os.path.exists(objects_csv)
or os.path.exists(metadata_csv)
)
def remove_xml_namespace(tag):
return tag.rsplit("}", 1)[-1]
def parse_hex_integer(value, default=0):
if value is None:
return default
value = value.strip()
if not value:
return default
try:
return int(value, 16)
except ValueError:
print(f"[WARN] Invalid hexadecimal integer: {value}")
return default
def parse_decimal_integer(value, default=0):
if value is None:
return default
value = value.strip()
if not value:
return default
try:
return int(value)
except ValueError:
print(f"[WARN] Invalid decimal integer: {value}")
return default
def extract_table(cursor, table_name, out_csv):
cursor.execute(f"SELECT * FROM {table_name}")
rows = cursor.fetchall()
with open(
out_csv,
"w",
newline="",
encoding="utf-8"
) as csv_file:
writer = csv.writer(csv_file)
writer.writerow([
description[0]
for description in cursor.description
])
for row in rows:
cleaned = [
decode_blob(value)
if isinstance(value, (bytes, bytearray))
else value
for value in row
]
writer.writerow(cleaned)
def process_db(db_path, out_dir):
base_name = strip_sha1(db_path)
objects_csv = os.path.join(
out_dir,
f"{base_name}_Objects.csv"
)
metadata_csv = os.path.join(
out_dir,
f"{base_name}_Metadata.csv"
)
if csv_exists(base_name, out_dir):
print(f"[SKIP SQL] Already exists, nothing changed: {base_name}")
return
print(f"[PROCESS SQL] {db_path}")
conn = None
try:
conn = sqlite3.connect(db_path)
conn.text_factory = bytes
cursor = conn.cursor()
extract_table(
cursor,
"Objects",
objects_csv
)
extract_table(
cursor,
"Metadata",
metadata_csv
)
print(f"[DONE SQL] {base_name}")
except sqlite3.Error as error:
print(f"[ERROR SQL] {db_path}: {error}")
for output_file in (objects_csv, metadata_csv):
if os.path.exists(output_file):
os.remove(output_file)
finally:
if conn is not None:
conn.close()
def get_xml_objects(root):
for element in root.iter():
if remove_xml_namespace(element.tag).lower() == "object":
yield element
def build_xml_rows(xml_path):
tree = ET.parse(xml_path)
root = tree.getroot()
objects_rows = []
metadata_rows = []
skip_if_blank_elements = {
"SCENE_ENTITLEMENT",
"ENTITLEMENT_ID",
"CATEGORY_ID",
"PRODUCT_ID",
"TITLE_ID",
"COMMUNICATION_ID",
}
skip_if_dummy_elements = {
"ENTITLEMENT_ID",
"CATEGORY_ID",
"PRODUCT_ID",
}
clothing_value_replacements = {
"TORS LEGS": "OUTFITS",
"TORS LEGS FEET": "OUTFITS",
"OUTFITS TORS HANDS LEGS FEET HAT": "OUTFITS",
"LEGS FEET": "LEGS",
"TORS LEGS FEET OUTFITS": "OUTFITS",
"TORSO": "TORS",
"TORS LEGS OUTFITS": "OUTFITS",
}
furniture_value_replacements = {
"PICTURE FRAME": "FRAME",
}
category_value_replacements = {
"24-NPUR30151_00": "UP0024-NPUR30151_00",
"LUA REWARD": "LUA_REWARD",
"UP9000-NPUQ0001_00": "UP9000-NPUQ00001_00",
"UUP9000-NPUQ00001_00": "UP9000-NPUQ00001_00",
"UP9000-NPUQ00010_": "UP9000-NPUQ00010_00",
"HP9000-NPHQ00009": "HP9000-NPHQ00009_00",
"HT4010-NPHR00022_00'": "HT4010-NPHR00022_00",
"ET0002-NPER00035_00V": "ET0002-NPER00035_00",
"JT4001-NPJR50210": "JT4001-NPJR50210_00",
"JP9000-NPJQ50100": "JP9000-NPJQ50100_00",
"JP9002-NPJQ50280": "JP9002-NPJQ50280_00",
"JP0082-NPJR50150_0": "JP0082-NPJR50150_00",
"JP0043-NPJR50420": "JP0043-NPJR50420_00",
}
product_value_replacements = {
"LUA REWARD": "LUA_REWARD",
}
object_index = 0
for object_element in get_xml_objects(root):
object_index += 1
object_id = object_element.get("uuid", "").strip()
version = parse_decimal_integer(
object_element.get("vers"),
default=0
)
archive_timestamp = parse_hex_integer(
object_element.get("timestamp"),
default=0
)
odc_sha1 = object_element.get("sha1", "").strip().upper()
objects_rows.append([
object_index,
object_id,
version,
1,
"",
archive_timestamp,
odc_sha1,
"",
"",
0,
"",
])
seen_tags = set()
seen_entitlement_ids = set()
for child in object_element:
tag_name = remove_xml_namespace(child.tag).upper()
value = (child.text or "").strip()
if tag_name in skip_if_blank_elements and not value:
continue
if (
tag_name in skip_if_dummy_elements
and value.lower() == "dummy"
):
continue
if tag_name in {
"CLOTHING",
"FURNITURE",
"WORLD_MAP",
"ACTIVE",
"SCENE_ENTITLEMENT",
"SCENE_TYPE",
"LEGAL_TAG",
"CLAN",
"MINI_GAME",
"CATEGORY_ID",
"PRODUCT_ID",
}:
value = value.upper()
if tag_name == "CLOTHING":
value = " ".join(value.split())
value = clothing_value_replacements.get(
value,
value
)
elif tag_name == "FURNITURE":
value = " ".join(value.split())
value = furniture_value_replacements.get(
value,
value
)
elif tag_name == "CATEGORY_ID":
value = " ".join(value.split())
value = category_value_replacements.get(
value,
value
)
elif tag_name == "PRODUCT_ID":
value = " ".join(value.split())
value = product_value_replacements.get(
value,
value
)
if tag_name == "TAGS":
lang = child.get("lang", "").strip()
if object_id in TAGS_TRANSLATIONS:
replacement = TAGS_TRANSLATIONS[object_id].get(lang)
if replacement is not None:
value = replacement
if value in seen_tags:
continue
seen_tags.add(value)
values = [value]
elif tag_name == "ENTITLEMENT_ID":
if value in seen_entitlement_ids:
continue
seen_entitlement_ids.add(value)
values = [value]
elif tag_name == "TITLE_ID":
values = value.split() if value else [""]
elif tag_name == "WORLD_MAP":
values = value.split() if value else [""]
else:
values = [value]
for metadata_value in values:
metadata_rows.append([
object_index,
tag_name,
metadata_value,
])
return objects_rows, metadata_rows
def write_xml_csv_files(
objects_csv,
metadata_csv,
objects_rows,
metadata_rows
):
with open(
objects_csv,
"w",
newline="",
encoding="utf-8"
) as csv_file:
writer = csv.writer(csv_file)
writer.writerow(OBJECTS_HEADER)
writer.writerows(objects_rows)
with open(
metadata_csv,
"w",
newline="",
encoding="utf-8"
) as csv_file:
writer = csv.writer(csv_file)
writer.writerow(METADATA_HEADER)
writer.writerows(metadata_rows)
def process_xml(xml_path, out_dir):
base_name = strip_sha1(xml_path)
objects_csv = os.path.join(
out_dir,
f"{base_name}_Objects.csv"
)
metadata_csv = os.path.join(
out_dir,
f"{base_name}_Metadata.csv"
)
if csv_exists(base_name, out_dir):
print(f"[SKIP XML] Already exists, nothing changed: {base_name}")
return
print(f"[PROCESS XML] {xml_path}")
try:
objects_rows, metadata_rows = build_xml_rows(xml_path)
write_xml_csv_files(
objects_csv,
metadata_csv,
objects_rows,
metadata_rows
)
print(
f"[DONE XML] {base_name}: "
f"{len(objects_rows)} object row(s), "
f"{len(metadata_rows)} metadata row(s)"
)
except (ET.ParseError, OSError, ValueError) as error:
print(f"[ERROR XML] {xml_path}: {error}")
for output_file in (objects_csv, metadata_csv):
if os.path.exists(output_file):
os.remove(output_file)
def main():
script_dir = get_script_dir()
out_dir = TABLEDUMPS_DIR
ensure_dir(out_dir)
print(f"Script folder: {script_dir}")
print(f"Base folder: {BASE_ROOT}")
print(f"Output folder: {out_dir}")
print()
for folder in FOLDER_ORDER:
if folder:
folder_path = os.path.join(BASE_ROOT, folder)
else:
folder_path = BASE_ROOT
print("--------------------------------------------------")
print(f"[FOLDER] {folder_path}")
print("--------------------------------------------------")
if not os.path.isdir(folder_path):
print(f"[WARN] Missing folder: {folder_path}")
print()
continue
db_files = find_sqlite_files(folder_path)
for db_file in db_files:
process_db(db_file, out_dir)
xml_files = find_xml_files(folder_path)
for xml_file in xml_files:
process_xml(xml_file, out_dir)
print()
input("")
if __name__ == "__main__":
main()