Create parser for wolf txt files
This commit is contained in:
parent
48713365f0
commit
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3 changed files with 650 additions and 6 deletions
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@ -26,6 +26,7 @@ from modules.atelier import handleAtelier
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from modules.anim import handleAnim
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from modules.nscript import handleNScript
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from modules.wolf import handleWOLF
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from modules.wolf2 import handleWOLF2
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from modules.javascript import handleJavascript
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# For GPT4 rate limit will be hit if you have more than 1 thread.
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@ -46,6 +47,7 @@ MODULES = [
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["Anim", "json", handleAnim],
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["NScript", "txt", handleNScript],
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["Wolf", "json", handleWOLF],
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["Wolf", "txt", handleWOLF2],
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["Javascript", "js", handleJavascript],
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]
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@ -56,7 +56,11 @@ POSITION = 0
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LEAVE = False
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# Dialogue / Scroll
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CODE101 = True
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CODE101 = False
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CODE102 = False
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# Other
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CODE300 = True
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def handleWOLF(filename, estimate):
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global ESTIMATE, TOKENS
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@ -96,7 +100,15 @@ def openFiles(filename):
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data = json.load(f)
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# Map Files
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translatedData = parseMap(data, filename)
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if "'events':" in str(data):
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translatedData = parseMap(data, filename)
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# Other Files
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elif "'commands':" in str(data):
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translatedData = parseOther(data, filename)
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else:
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translatedData = data
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return translatedData
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@ -123,7 +135,7 @@ def getResultString(translatedData, translationTime, filename):
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return filename + ': ' + totalTokenstring + timeString + Fore.RED + u' \u2717 ' +\
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errorString + Fore.RESET
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def parseMap(data, filename):
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def parseOther(data, filename):
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totalTokens = [0, 0]
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totalLines = 0
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events = data['commands']
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@ -141,6 +153,35 @@ def parseMap(data, filename):
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseMap(data, filename):
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totalTokens = [0, 0]
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totalLines = 0
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events = data['events']
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global LOCK
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# Get total for progress bar
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for event in events:
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if event is not None:
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for page in event['pages']:
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totalLines += len(page['list'])
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# Thread for each page in file
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with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
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pbar.desc=filename
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pbar.total=totalLines
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with ThreadPoolExecutor(max_workers=THREADS) as executor:
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for event in events:
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if event is not None:
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futures = [executor.submit(searchCodes, page, pbar, [], filename) for page in event['pages'] if page is not None]
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for future in as_completed(futures):
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try:
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totalTokensFuture = future.result()
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totalTokens[0] += totalTokensFuture[0]
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totalTokens[1] += totalTokensFuture[1]
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def searchCodes(events, pbar, translatedList, filename):
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stringList = []
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textHistory = []
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@ -211,8 +252,6 @@ def searchCodes(events, pbar, translatedList, filename):
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if FIXTEXTWRAP is True:
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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# Add back Nametag
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translatedText = nametag + translatedText
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nametag = ''
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@ -232,7 +271,7 @@ def searchCodes(events, pbar, translatedList, filename):
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translatedList = ''
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### Event Code: 102 Choices
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if codeList[i]['code'] == 102 and CODE101 == True:
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if codeList[i]['code'] == 102 and CODE102 == True:
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# Grab Choice List
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choiceList = codeList[i]['stringArgs']
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@ -246,6 +285,42 @@ def searchCodes(events, pbar, translatedList, filename):
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if len(choiceList) == len(translatedChoiceList):
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codeList[i]['stringArgs'] = translatedChoiceList
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### Event Code: 300 Common Events
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if codeList[i]['code'] == 300 and CODE300 == True:
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# Validate size
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if len(codeList[i]['stringArgs']) > 1:
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# Grab String
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jaString = codeList[i]['stringArgs'][1]
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# Skip Heavy Var Text
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if 'Hシナリオtext演出' in codeList[i]['stringArgs'][0] or r'/evcg' in jaString:
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i += 1
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continue
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# Catch Vars that may break the TL
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varString = ''
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matchList = re.findall(r'^[\\_]+[\w]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]', jaString)
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if len(matchList) != 0:
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varString = matchList[0]
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jaString = jaString.replace(matchList[0], '')
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# Remove Textwrap
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jaString = jaString.replace('\n', ' ')
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# Translate
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response = translateGPT(jaString, f'Reply with the {LANGUAGE} translation of the text.', False, pbar, filename)
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translatedText = response[0]
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totalTokens[0] = response[1][0]
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totalTokens[0] = response[1][1]
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# Add Textwrap
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translatedText = textwrap.fill(translatedText, WIDTH)
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# Add back Potential Variables in String
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translatedText = varString + translatedText
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# Set Data
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codeList[i]['stringArgs'][1] = translatedText
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### Iterate
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i += 1
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567
modules/wolf2.py
Normal file
567
modules/wolf2.py
Normal file
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@ -0,0 +1,567 @@
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# Libraries
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import os, re, textwrap, threading, time, traceback, tiktoken, openai
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from pathlib import Path
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from colorama import Fore
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from dotenv import load_dotenv
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from retry import retry
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from tqdm import tqdm
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# Open AI
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load_dotenv()
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if os.getenv('api').replace(' ', '') != '':
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openai.api_base = os.getenv('api')
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openai.organization = os.getenv('org')
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openai.api_key = os.getenv('key')
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#Globals
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MODEL = os.getenv('model')
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TIMEOUT = int(os.getenv('timeout'))
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LANGUAGE = os.getenv('language').capitalize()
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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VOCAB = Path('vocab.txt').read_text(encoding='utf-8')
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THREADS = int(os.getenv('threads'))
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LOCK = threading.Lock()
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WIDTH = int(os.getenv('width'))
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LISTWIDTH = int(os.getenv('listWidth'))
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NOTEWIDTH = 70
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MAXHISTORY = 10
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ESTIMATE = ''
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TOKENS = [0, 0]
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NAMESLIST = []
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NAMES = False # Output a list of all the character names found
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BRFLAG = False # If the game uses <br> instead
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FIXTEXTWRAP = True # Overwrites textwrap
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IGNORETLTEXT = False # Ignores all translated text.
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MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
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#tqdm Globals
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BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
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POSITION = 0
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LEAVE = False
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# Pricing - Depends on the model https://openai.com/pricing
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# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
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# If you are getting a MISMATCH LENGTH error, lower the batch size.
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if 'gpt-3.5' in MODEL:
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INPUTAPICOST = .002
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OUTPUTAPICOST = .002
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BATCHSIZE = 10
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elif 'gpt-4' in MODEL:
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INPUTAPICOST = .01
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OUTPUTAPICOST = .03
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BATCHSIZE = 40
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def handleWOLF2(filename, estimate):
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global ESTIMATE
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ESTIMATE = estimate
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if ESTIMATE:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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tqdm.write(getResultString(translatedData, end - start, filename))
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with LOCK:
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TOKENS[0] += translatedData[1][0]
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TOKENS[1] += translatedData[1][1]
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# Print Total
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totalString = getResultString(['', TOKENS, None], end - start, 'TOTAL')
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# Print any errors on maps
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if len(MISMATCH) > 0:
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return totalString + Fore.RED + f'\nMismatch Errors: {MISMATCH}' + Fore.RESET
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else:
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return totalString
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else:
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try:
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with open('translated/' + filename, 'w', encoding='utf8', errors='ignore') as outFile:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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outFile.writelines(translatedData[0])
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tqdm.write(getResultString(translatedData, end - start, filename))
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with LOCK:
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TOKENS[0] += translatedData[1][0]
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TOKENS[1] += translatedData[1][1]
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except Exception as e:
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traceback.print_exc()
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return 'Fail'
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return getResultString(['', TOKENS, None], end - start, 'TOTAL')
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def getResultString(translatedData, translationTime, filename):
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# File Print String
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totalTokenstring =\
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Fore.YELLOW +\
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'[Input: ' + str(translatedData[1][0]) + ']'\
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'[Output: ' + str(translatedData[1][1]) + ']'\
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'[Cost: ${:,.4f}'.format((translatedData[1][0] * .001 * INPUTAPICOST) +\
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(translatedData[1][1] * .001 * OUTPUTAPICOST)) + ']'
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timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
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if translatedData[2] == None:
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# Success
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return filename + ': ' + totalTokenstring + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
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else:
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# Fail
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try:
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raise translatedData[2]
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except Exception as e:
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traceback.print_exc()
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errorString = str(e) + Fore.RED
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return filename + ': ' + totalTokenstring + timeString + Fore.RED + u' \u2717 ' +\
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errorString + Fore.RESET
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def openFiles(filename):
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with open('files/' + filename, 'r', encoding='cp932') as readFile:
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translatedData = parseWOLF(readFile, filename)
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# Delete lines marked for deletion
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finalData = []
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for line in translatedData[0]:
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if line != '\\d\n':
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finalData.append(line)
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translatedData[0] = finalData
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return translatedData
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def parseWOLF(readFile, filename):
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totalTokens = [0,0]
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# Read File into data
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data = readFile.readlines()
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# Create Progress Bar
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with tqdm(bar_format=BAR_FORMAT, position=POSITION, leave=LEAVE) as pbar:
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pbar.desc=filename
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try:
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result = translateWOLF(data, pbar, filename, [])
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totalTokens[0] += result[0]
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totalTokens[1] += result[1]
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except Exception as e:
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traceback.print_exc()
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def translateWOLF(data, pbar, filename, translatedList):
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stringList = []
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currentGroup = []
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tokens = [0,0]
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speaker = ''
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global LOCK, ESTIMATE
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i = 0
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while i < len(data):
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# Speaker
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matchList = re.findall(r'(.*)：$', data[i])
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if len(matchList) != 0:
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response = getSpeaker(matchList[0], pbar, filename)
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speaker = response[0]
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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data[i] = f'{speaker}：\n'
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i += 1
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else:
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speaker = ''
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# Lines
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if r'/' not in data[i] and data[i] != '\n':
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# Pass 1
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if translatedList == []:
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# Grab Consecutive Strings
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currentGroup.append(data[i])
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i += 1
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while i < len(data) and r'/' not in data[i] and data[i] != '\n':
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currentGroup.append(data[i])
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i += 1
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# Join up 401 groups for better translation.
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if len(currentGroup) > 0:
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jaString = ' '.join(currentGroup)
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currentGroup = []
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# Remove any textwrap
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jaString = jaString.replace('\n', ' ')
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# Add Speaker (If there is one)
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if speaker != '':
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jaString = f'{speaker}: {jaString}'
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# Add String
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stringList.append(jaString)
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i += 1
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# Pass 2
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else:
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# Insert Strings
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while i < len(data) and r'/' not in data[i] and data[i] != '\n':
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data.pop(i)
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# Get Text
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translatedText = translatedList[0]
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translatedList.pop(0)
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if len(translatedList) <= 0:
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translatedList = None
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# Remove added speaker
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translatedText = re.sub(r'^.+?:\s', '', translatedText)
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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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# Set Data
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data.insert(i, f'{translatedText}\n')
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i += 1
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# Nothing relevant. Skip Line.
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else:
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i += 1
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# EOF
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if translatedList == []:
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# Set Progress
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pbar.total = len(stringList)
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pbar.refresh()
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# Translate
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response = translateGPT(stringList, '', True, pbar, filename)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedList = response[0]
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# Set Strings
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if len(stringList) == len(translatedList):
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translateWOLF(data, pbar, filename, translatedList)
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# Mismatch
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else:
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with LOCK:
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if filename not in MISMATCH:
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MISMATCH.append(filename)
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return tokens
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# Save some money and enter the character before translation
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def getSpeaker(speaker, pbar, filename):
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match speaker:
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case 'ファイン':
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return ['Fine', [0,0]]
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case '':
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return ['', [0,0]]
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case _:
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# Store Speaker
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if speaker not in str(NAMESLIST):
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response = translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False, pbar, filename)
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response[0] = response[0].title()
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response[0] = response[0].replace("'S", "'s")
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speakerList = [speaker, response[0]]
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NAMESLIST.append(speakerList)
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return response
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# Find Speaker
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else:
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for i in range(len(NAMESLIST)):
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if speaker == NAMESLIST[i][0]:
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return [NAMESLIST[i][1],[0,0]]
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return [speaker,[0,0]]
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def subVars(jaString):
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jaString = jaString.replace('\u3000', ' ')
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# Nested
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count = 0
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nestedList = re.findall(r'[\\]+[\w]+\[[\\]+[\w]+\[[0-9]+\]\]', jaString)
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nestedList = set(nestedList)
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if len(nestedList) != 0:
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for icon in nestedList:
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jaString = jaString.replace(icon, '[Nested_' + str(count) + ']')
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count += 1
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# Icons
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count = 0
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iconList = re.findall(r'[\\]+[iIkKwWaA]+\[[0-9]+\]', jaString)
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iconList = set(iconList)
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if len(iconList) != 0:
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for icon in iconList:
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jaString = jaString.replace(icon, '[Ascii_' + str(count) + ']')
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count += 1
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# Colors
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count = 0
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colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
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colorList = set(colorList)
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if len(colorList) != 0:
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for color in colorList:
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jaString = jaString.replace(color, '[Color_' + str(count) + ']')
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count += 1
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# Names
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count = 0
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nameList = re.findall(r'[\\]+[nN]\[.+?\]+', jaString)
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nameList = set(nameList)
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if len(nameList) != 0:
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for name in nameList:
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jaString = jaString.replace(name, '[Noun_' + str(count) + ']')
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count += 1
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# Variables
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count = 0
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varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
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varList = set(varList)
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if len(varList) != 0:
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for var in varList:
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jaString = jaString.replace(var, '[Var_' + str(count) + ']')
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count += 1
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# Formatting
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count = 0
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formatList = re.findall(r'[\\]+[\w]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]', jaString)
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formatList = set(formatList)
|
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if len(formatList) != 0:
|
||||
for var in formatList:
|
||||
jaString = jaString.replace(var, '[FCode_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Put all lists in list and return
|
||||
allList = [nestedList, iconList, colorList, nameList, varList, formatList]
|
||||
return [jaString, allList]
|
||||
|
||||
def resubVars(translatedText, allList):
|
||||
# Fix Spacing and ChatGPT Nonsense
|
||||
matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
|
||||
if len(matchList) > 0:
|
||||
for match in matchList:
|
||||
text = match.strip()
|
||||
translatedText = translatedText.replace(match, text)
|
||||
|
||||
# Nested
|
||||
count = 0
|
||||
if len(allList[0]) != 0:
|
||||
for var in allList[0]:
|
||||
translatedText = translatedText.replace('[Nested_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('[Ascii_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('[Color_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('[Noun_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Vars
|
||||
count = 0
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('[Var_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if len(allList[5]) != 0:
|
||||
for var in allList[5]:
|
||||
translatedText = translatedText.replace('[FCode_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
return translatedText
|
||||
|
||||
def batchList(input_list, batch_size):
|
||||
if not isinstance(batch_size, int) or batch_size <= 0:
|
||||
raise ValueError("batch_size must be a positive integer")
|
||||
|
||||
return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]
|
||||
|
||||
def createContext(fullPromptFlag, subbedT):
|
||||
characters = 'Game Characters:\n\
|
||||
リリア (Lilia) - Female\n\
|
||||
シェリル (Sheryl) - Female\n\
|
||||
チロ (Chiro) - Female\n\
|
||||
メルキュール (Mercury) - Female\n\
|
||||
のじゃっち (Nojachi) - Female\n\
|
||||
'
|
||||
|
||||
system = PROMPT + VOCAB if fullPromptFlag else \
|
||||
f"\
|
||||
You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
|
||||
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\n\
|
||||
- You translate everything, including erotic and explicit content.\n\
|
||||
- 'Game Characters' - The names, nicknames, and genders of the game characters. Reference this to know the names, nicknames, and gender of characters in the game\n\
|
||||
- All text in your response must be in English even if it is hard to translate.\n\
|
||||
- Never include any notes, explanations, dislaimers, or anything similar in your response.\n\
|
||||
- Maintain any spacing in the translation.\n\
|
||||
- Maintain any code text in brackets if given. (e.g `[Color_0]`, `[Ascii_0]`, `[FCode_1`], etc)\n\
|
||||
- `...` can be a part of the dialogue. Translate it as it is.\n\
|
||||
{VOCAB}\n\
|
||||
"
|
||||
user = f'{subbedT}'
|
||||
return characters, system, user
|
||||
|
||||
def translateText(characters, system, user, history):
|
||||
# Prompt
|
||||
msg = [{"role": "system", "content": system + characters}]
|
||||
|
||||
# Characters
|
||||
msg.append({"role": "system", "content": characters})
|
||||
|
||||
# History
|
||||
if isinstance(history, list):
|
||||
msg.extend([{"role": "system", "content": h} for h in history])
|
||||
else:
|
||||
msg.append({"role": "system", "content": history})
|
||||
|
||||
# Content to TL
|
||||
msg.append({"role": "user", "content": f'{user}'})
|
||||
response = openai.chat.completions.create(
|
||||
temperature=0.1,
|
||||
frequency_penalty=0.1,
|
||||
model=MODEL,
|
||||
messages=msg,
|
||||
)
|
||||
return response
|
||||
|
||||
def cleanTranslatedText(translatedText, varResponse):
|
||||
placeholders = {
|
||||
f'{LANGUAGE} Translation: ': '',
|
||||
'Translation: ': '',
|
||||
'っ': '',
|
||||
'〜': '~',
|
||||
'ッ': '',
|
||||
'。': '.',
|
||||
'Placeholder Text': ''
|
||||
# Add more replacements as needed
|
||||
}
|
||||
for target, replacement in placeholders.items():
|
||||
translatedText = translatedText.replace(target, replacement)
|
||||
|
||||
translatedText = resubVars(translatedText, varResponse[1])
|
||||
return translatedText
|
||||
|
||||
def extractTranslation(translatedTextList, is_list):
|
||||
pattern = r'`?<Line\d+>([\\]*.*?[\\]*?)<\/?Line\d+>`?'
|
||||
# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
|
||||
if is_list:
|
||||
matchList = re.findall(pattern, translatedTextList)
|
||||
return matchList
|
||||
else:
|
||||
matchList = re.findall(pattern, translatedTextList)
|
||||
return matchList[0][0] if matchList else translatedTextList
|
||||
|
||||
def countTokens(characters, system, user, history):
|
||||
inputTotalTokens = 0
|
||||
outputTotalTokens = 0
|
||||
enc = tiktoken.encoding_for_model(MODEL)
|
||||
|
||||
# Input
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
inputTotalTokens += len(enc.encode(line))
|
||||
else:
|
||||
inputTotalTokens += len(enc.encode(history))
|
||||
inputTotalTokens += len(enc.encode(system))
|
||||
inputTotalTokens += len(enc.encode(characters))
|
||||
inputTotalTokens += len(enc.encode(user))
|
||||
|
||||
# Output
|
||||
outputTotalTokens += round(len(enc.encode(user))/1.5)
|
||||
|
||||
return [inputTotalTokens, outputTotalTokens]
|
||||
|
||||
def combineList(tlist, text):
|
||||
if isinstance(text, list):
|
||||
return [t for sublist in tlist for t in sublist]
|
||||
return tlist[0]
|
||||
|
||||
@retry(exceptions=Exception, tries=5, delay=5)
|
||||
def translateGPT(text, history, fullPromptFlag, pbar, filename):
|
||||
mismatch = False
|
||||
totalTokens = [0, 0]
|
||||
if isinstance(text, list):
|
||||
tList = batchList(text, BATCHSIZE)
|
||||
else:
|
||||
tList = [text]
|
||||
|
||||
for index, tItem in enumerate(tList):
|
||||
# Before sending to translation, if we have a list of items, add the formatting
|
||||
if isinstance(tItem, list):
|
||||
payload = '\n'.join([f'`<Line{i}>{item}</Line{i}>`' for i, item in enumerate(tItem)])
|
||||
payload = re.sub(r'(<Line\d+)(><)(\/Line\d+>)', r'\1>Placeholder Text<\3', payload)
|
||||
varResponse = subVars(payload)
|
||||
subbedT = varResponse[0]
|
||||
else:
|
||||
varResponse = subVars(tItem)
|
||||
subbedT = varResponse[0]
|
||||
|
||||
# Things to Check before starting translation
|
||||
if not re.search(r'[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９]+', subbedT):
|
||||
continue
|
||||
|
||||
# Create Message
|
||||
characters, system, user = createContext(fullPromptFlag, subbedT)
|
||||
|
||||
# Calculate Estimate
|
||||
if ESTIMATE:
|
||||
estimate = countTokens(characters, system, user, history)
|
||||
totalTokens[0] += estimate[0]
|
||||
totalTokens[1] += estimate[1]
|
||||
continue
|
||||
|
||||
# Translating
|
||||
response = translateText(characters, system, user, history)
|
||||
translatedText = response.choices[0].message.content
|
||||
totalTokens[0] += response.usage.prompt_tokens
|
||||
totalTokens[1] += response.usage.completion_tokens
|
||||
|
||||
# Formatting
|
||||
translatedText = cleanTranslatedText(translatedText, varResponse)
|
||||
if isinstance(tItem, list):
|
||||
extractedTranslations = extractTranslation(translatedText, True)
|
||||
if len(tItem) != len(extractedTranslations):
|
||||
# Mismatch. Try Again
|
||||
response = translateText(characters, system, user, history)
|
||||
translatedText = response.choices[0].message.content
|
||||
totalTokens[0] += response.usage.prompt_tokens
|
||||
totalTokens[1] += response.usage.completion_tokens
|
||||
|
||||
# Formatting
|
||||
translatedText = cleanTranslatedText(translatedText, varResponse)
|
||||
if isinstance(tItem, list):
|
||||
extractedTranslations = extractTranslation(translatedText, True)
|
||||
if len(tItem) == len(extractedTranslations):
|
||||
tList[index] = extractedTranslations
|
||||
else:
|
||||
MISMATCH.append(filename)
|
||||
else:
|
||||
tList[index] = extractedTranslations
|
||||
|
||||
# Create History
|
||||
history = tList[index] # Update history if we have a list
|
||||
pbar.update(len(tList[index]))
|
||||
|
||||
else:
|
||||
# Ensure we're passing a single string to extractTranslation
|
||||
extractedTranslations = extractTranslation(translatedText, False)
|
||||
tList[index] = extractedTranslations
|
||||
|
||||
finalList = combineList(tList, text)
|
||||
return [finalList, totalTokens]
|
||||
Loading…
Reference in a new issue