572 lines
19 KiB
Python
572 lines
19 KiB
Python
# Libraries
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import json
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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.base_url = 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 = .005
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OUTPUTAPICOST = .015
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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='shift_jis', 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='shift_jis') 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, translatedList, pbar, filename):
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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, PBAR
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PBAR = pbar
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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])
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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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# Options
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if '//選択肢' in data[i]:
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i += 1
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choiceList = []
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initialIndex = i
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while('//' in data[i] and 'の場合' not in data[i]):
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choiceList.append(re.search(r'\/\/(.*)', data[i]).group(1))
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i += 1
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# Translate
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response = translateGPT(choiceList, 'This will be a dialogue option', True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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choiceListTL = response[0]
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# Set Data
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if len(choiceList) == len(choiceListTL):
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# Set Data
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i = initialIndex
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while('//' in data[i] and 'の場合' not in data[i]):
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choiceListTL[0] = choiceListTL[0].replace(', ', '、')
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data[i] = f'//{choiceListTL[0]}\n'
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choiceListTL.pop(0)
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i += 1
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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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# Lines
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if r'/' not in data[i] and '@' 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 '@' 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 '@' 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 len(stringList) > 0:
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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)
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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, translatedList, pbar, filename)
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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):
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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 the '+ LANGUAGE +' translation of the NPC name.', False)
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response[0] = response[0].title()
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response[0] = response[0].replace("'S", "'s")
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# Retry if name doesn't translate for some reason
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if re.search(r'([a-zA-Z？?])', response[0]) == None:
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response = translateGPT(speaker, 'Reply with the '+ LANGUAGE +' translation of the NPC name.', False)
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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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# Formatting
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count = 0
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codeList = re.findall(r'[\\]+[\w]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]', jaString)
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codeList = set(codeList)
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if len(codeList) != 0:
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for var in codeList:
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jaString = jaString.replace(var, '[FCode_' + str(count) + ']')
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count += 1
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# Put all lists in list and return
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return [jaString, codeList]
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def resubVars(translatedText, codeList):
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# Fix Spacing and ChatGPT Nonsense
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matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
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if len(matchList) > 0:
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for match in matchList:
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text = match.strip()
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translatedText = translatedText.replace(match, text)
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# Formatting
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count = 0
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if len(codeList) != 0:
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for var in codeList:
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translatedText = translatedText.replace('[FCode_' + str(count) + ']', var)
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count += 1
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return translatedText
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def batchList(input_list, batch_size):
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if not isinstance(batch_size, int) or batch_size <= 0:
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raise ValueError("batch_size must be a positive integer")
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return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]
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def createContext(fullPromptFlag, subbedT):
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characters = 'Game Characters:\n\
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千佳 (Chika) - Female\n\
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ちか (Chika) - Female\n\
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和樹 (Kazuki) - Male\n\
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かずき (Kazuki) - Male\n\
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猿山 (Saruyama) - Male\n\
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菊池 (Kikuchi) - Male\n\
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篠宮 (Shinomiya) - Male\n\
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翔太 (Shota) - Male\n\
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'
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system = PROMPT + VOCAB if fullPromptFlag else \
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f"\
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You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
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Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\n\
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- You translate everything, including erotic and explicit content.\n\
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- '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\
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- All text in your response must be in {LANGUAGE} even if it is hard to translate.\n\
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- Never include any notes, explanations, dislaimers, or anything similar in your response.\n\
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- Maintain any spacing in the translation.\n\
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- Maintain any code text in brackets if given. (e.g `[Color_0]`, `[Ascii_0]`, `[FCode_1`], etc)\n\
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- `...` can be a part of the dialogue. Translate it as it is.\n\
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{VOCAB}\n\
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"
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if isinstance(subbedT, list):
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user = f'```json\n{subbedT}```'
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else:
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user = subbedT
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return characters, system, user
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def translateText(characters, system, user, history, penalty, format):
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# Prompt
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msg = [{"role": "system", "content": system + characters}]
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# Characters
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msg.append({"role": "system", "content": characters})
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# History
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if isinstance(history, list):
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msg.extend([{"role": "system", "content": h} for h in history])
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else:
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msg.append({"role": "system", "content": history})
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# Response Format
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if format == 'json':
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responseFormat = { "type": "json_object" }
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else:
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responseFormat = { "type": "text" }
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# Content to TL
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msg.append({"role": "user", "content": f'{user}'})
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response = openai.chat.completions.create(
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temperature=0,
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frequency_penalty=penalty,
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model=MODEL,
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response_format=responseFormat,
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messages=msg,
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)
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return response
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def cleanTranslatedText(translatedText, varResponse):
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placeholders = {
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f'{LANGUAGE} Translation: ': '',
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'Translation: ': '',
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'っ': '',
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'〜': '~',
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'ッ': '',
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'。': '.',
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'「': '\\"',
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'」': '\\"',
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'- ': '-',
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'Placeholder Text': '',
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# Add more replacements as needed
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}
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for target, replacement in placeholders.items():
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translatedText = translatedText.replace(target, replacement)
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# Elongate Long Dashes (Since GPT Ignores them...)
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translatedText = elongateCharacters(translatedText)
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translatedText = resubVars(translatedText, varResponse[1])
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return translatedText
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def elongateCharacters(text):
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# Define a pattern to match one character followed by one or more `ー` characters
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# Using a positive lookbehind assertion to capture the preceding character
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pattern = r'(?<=(.))ー+'
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# Define a replacement function that elongates the captured character
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def repl(match):
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char = match.group(1) # The character before the ー sequence
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count = len(match.group(0)) - 1 # Number of ー characters
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return char * count # Replace ー sequence with the character repeated
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# Use re.sub() to replace the pattern in the text
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return re.sub(pattern, repl, text)
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def extractTranslation(translatedTextList, is_list):
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try:
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translatedTextList = re.sub(r'\\"+\"([^,\n}])', r'\\"\1', translatedTextList)
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line_dict = json.loads(translatedTextList)
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# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
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string_list = list(line_dict.values())
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if is_list:
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return string_list
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else:
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return string_list[0]
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except Exception as e:
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PBAR.write(f'extractTranslation Error: {e} on String {translatedTextList}')
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return None
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def countTokens(characters, system, user, history):
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inputTotalTokens = 0
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outputTotalTokens = 0
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enc = tiktoken.encoding_for_model('gpt-4')
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# Input
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if isinstance(history, list):
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for line in history:
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inputTotalTokens += len(enc.encode(line))
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else:
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inputTotalTokens += len(enc.encode(history))
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inputTotalTokens += len(enc.encode(system))
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inputTotalTokens += len(enc.encode(characters))
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inputTotalTokens += len(enc.encode(user))
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# Output
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outputTotalTokens += round(len(enc.encode(user))*3)
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return [inputTotalTokens, outputTotalTokens]
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def combineList(tlist, text):
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if isinstance(text, list):
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return [t for sublist in tlist for t in sublist]
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return tlist[0]
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@retry(exceptions=Exception, tries=5, delay=5)
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def translateGPT(text, history, fullPromptFlag):
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global PBAR
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mismatch = False
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totalTokens = [0, 0]
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if isinstance(text, list):
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format = 'json'
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tList = batchList(text, BATCHSIZE)
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else:
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format = 'text'
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tList = [text]
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for index, tItem in enumerate(tList):
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# Before sending to translation, if we have a list of items, add the formatting
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if isinstance(tItem, list):
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payload = {f"Line{i+1}": string for i, string in enumerate(tItem)}
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payload = json.dumps(payload, indent=4, ensure_ascii=False)
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varResponse = subVars(payload)
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subbedT = varResponse[0]
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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):
|
||
if PBAR is not None:
|
||
PBAR.update(len(tItem))
|
||
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, 0.05, format)
|
||
translatedText = response.choices[0].message.content
|
||
totalTokens[0] += response.usage.prompt_tokens
|
||
totalTokens[1] += response.usage.completion_tokens
|
||
|
||
# Check Translation
|
||
translatedText = cleanTranslatedText(translatedText, varResponse)
|
||
if isinstance(tItem, list):
|
||
extractedTranslations = extractTranslation(translatedText, True)
|
||
if extractedTranslations == None or len(tItem) != len(extractedTranslations):
|
||
# Mismatch. Try Again
|
||
response = translateText(characters, system, user, history, 0.05, format)
|
||
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 extractedTranslations == None or len(tItem) != len(extractedTranslations):
|
||
mismatch = True # Just here for breakpoint
|
||
|
||
# Set if no mismatch
|
||
if mismatch == False:
|
||
tList[index] = extractedTranslations
|
||
history = extractedTranslations[-10:] # Update history if we have a list
|
||
else:
|
||
history = text[-10:]
|
||
mismatch = False
|
||
|
||
# Update Loading Bar
|
||
with LOCK:
|
||
if PBAR is not None:
|
||
PBAR.update(len(tItem))
|
||
else:
|
||
# Ensure we're passing a single string to extractTranslation
|
||
tList[index] = translatedText
|
||
|
||
finalList = combineList(tList, text)
|
||
return [finalList, totalTokens]
|