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()