665 lines
24 KiB
Python
665 lines
24 KiB
Python
# 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 handleNScript(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 = parseNScript(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 parseNScript(readFile, filename):
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totalTokens = [0,0]
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totalLines = 0
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# Get total for progress bar
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data = readFile.readlines()
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totalLines = len(data)
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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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try:
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result = translateNScript(data, pbar, totalLines)
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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 translateNScript(data, pbar, totalLines):
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textHistory = []
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batch = []
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currentGroup = []
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maxHistory = MAXHISTORY
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tokens = [0,0]
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speaker = ''
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insertBool = False
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global LOCK, ESTIMATE
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i = 0
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batchStartIndex = 0
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while i < len(data):
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# Speaker
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matchList = re.findall(r'^【\s+(.*?)\s+】$', 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] = '>[' + speaker + ']\n'
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i += 1
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else:
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speaker = ''
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# Choices
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if 'select' in data[i]:
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matchList = re.findall(r'\"(.*?)\"', data[i])
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if len(matchList) != 0:
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originalTextList = matchList
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if len(textHistory) > 0:
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response = translateGPT(matchList, 'Keep your translation as brief as possible. Previous text for context: ' + textHistory[len(textHistory)-1] + '\n\nReply in the style of a dialogue option.', True)
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else:
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response = translateGPT(matchList, '\n\nReply in the style of a dialogue option.', True)
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translatedTextList = response[0]
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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for choice in range(len(translatedTextList)):
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translatedText = translatedTextList[choice]
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# Remove characters that may break scripts
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charList = ['.', '\"', '\\n']
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for char in charList:
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translatedText = translatedText.replace(char, '')
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# Escape all '
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translatedText = translatedText.replace('\\', '')
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translatedText = translatedText.replace(' ', ' ')
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# Set Data
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translatedText = data[i].replace(originalTextList[choice], translatedText)
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data[i] = translatedText
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pbar.update(1)
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i += 1
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else:
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pbar.update(1)
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i += 1
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# Lines
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# matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９「」 >（）].*', data[i])
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# if len(matchList) > 0:
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# currentGroup.append(matchList[0])
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# if len(data) > i+1:
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# if speaker == '':
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# while '\n' != data[i+1] and '【' not in data[i+1]:
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# if insertBool is True:
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# data[i] = '\d\n'
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# pbar.update(1)
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# i += 1
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# matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９「」 >（）].*', data[i])
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# if len(matchList) > 0:
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# currentGroup.append(matchList[0])
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# else:
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# while ' ' in data[i+1][0] or '"' in data[i+1] or ')' in data[i+1] or '）' in data[i+1]:
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# if insertBool is True:
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# data[i] = '\d\n'
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# pbar.update(1)
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# i += 1
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# matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９「」 >（）].*', data[i])
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# if len(matchList) > 0:
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# currentGroup.append(matchList[0])
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# # Join up 401 groups for better translation.
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# if len(currentGroup) > 0:
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# finalJAString = ' '.join(currentGroup)
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# oldjaString = finalJAString
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# # Remove any textwrap
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# if FIXTEXTWRAP == True:
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# finalJAString = finalJAString.replace('>', '')
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# finalJAString = finalJAString.replace('\\', ' ')
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# # Remove Extra Stuff bad for translation.
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# finalJAString = finalJAString.replace('ﾞ', '')
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# finalJAString = finalJAString.replace('・', '.')
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# finalJAString = finalJAString.replace('‶', '')
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# finalJAString = finalJAString.replace('”', '')
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# finalJAString = finalJAString.replace('―', '-')
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# finalJAString = finalJAString.replace('ー', '-')
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# finalJAString = finalJAString.replace('…', '...')
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# finalJAString = re.sub(r'(\.{3}\.+)', '...', finalJAString)
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# finalJAString = finalJAString.replace(' ', ' ')
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# # Furigana Removal
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# matchList = re.findall(r'『\((.+)/.*?』', finalJAString)
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# if len(matchList) > 0:
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# finalJAString = finalJAString.replace(matchList[0][0], matchList[0][1])
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# # Add Speaker (If there is one)
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# if speaker != '':
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# finalJAString = f'{speaker}: {finalJAString}'
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# # [Passthrough 1] Pulling From File
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# if insertBool is False:
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# # Append to List and Clear Values
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# batch.append(finalJAString)
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# speaker = ''
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# # Translate Batch if Full
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# if len(batch) == BATCHSIZE:
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# # Translate
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# response = translateGPT(batch, textHistory, True)
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# tokens[0] += response[1][0]
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# tokens[1] += response[1][1]
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# translatedBatch = response[0]
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# textHistory = translatedBatch[-10:]
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# # Set Values
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# if len(batch) == len(translatedBatch):
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# i = batchStartIndex
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# insertBool = True
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# # Mismatch
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# else:
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# pbar.write(f'Mismatch: {batchStartIndex} - {i}')
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# MISMATCH.append(batch)
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# batchStartIndex = i
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# batch.clear()
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# i += 1
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# if insertBool is True:
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# pbar.update(1)
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# currentGroup = []
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# # [Passthrough 2] Setting Data
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# else:
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# # Get Text
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# translatedText = translatedBatch[0]
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# translatedText = translatedText.replace('\\"', '\"')
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# translatedText = translatedText.replace('[', '(')
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# translatedText = translatedText.replace(']', ')')
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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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# textList = translatedText.split('\n')
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# # Set Text
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# data[i] = '\d\n'
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# counter = 0
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# for line in textList:
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# # Wordwrap Text
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# line = textwrap.fill(line, width=WIDTH)
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# # Set
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# data.insert(i, '>' + line.strip() + '\n')
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# counter += 1
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# i+=1
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# # Go to new window if too long
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# if counter >= 4:
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# data[i-1] = data[i-1].replace('\n', '\\\n')
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# counter = 0
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# if '\\' not in data[i-1]:
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# data[i-1] = data[i-1].replace('\n', '\\\n')
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# translatedBatch.pop(0)
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# speaker = ''
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# currentGroup = []
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# # If Batch is empty. Move on.
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# if len(translatedBatch) == 0:
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# insertBool = False
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# batchStartIndex = i
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# batch.clear()
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# Nothing relevant. Skip Line.
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else:
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i += 1
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if insertBool is False:
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pbar.update(1)
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# Translate Batch if not empty and EOF
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if len(batch) != 0 and i >= len(data):
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# Translate
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response = translateGPT(batch, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedBatch = response[0]
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textHistory = translatedBatch[-10:]
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# Set Values
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if len(batch) == len(translatedBatch):
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i = batchStartIndex
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insertBool = True
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# Mismatch
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else:
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pbar.write(f'Mismatch: {batchStartIndex} - {i}')
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MISMATCH.append(batch)
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batchStartIndex = i
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batch.clear()
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currentGroup = []
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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 'ルイ':
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return ['Rui', [0,0]]
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case 'チュベロス':
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return ['Tuberose', [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)
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response[0] = response[0].title()
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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]+\[.+?\]', jaString)
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formatList = set(formatList)
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if len(formatList) != 0:
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for var in formatList:
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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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allList = [nestedList, iconList, colorList, nameList, varList, formatList]
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return [jaString, allList]
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def resubVars(translatedText, allList):
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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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# Nested
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count = 0
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if len(allList[0]) != 0:
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for var in allList[0]:
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translatedText = translatedText.replace('{Nested_' + str(count) + '}', var)
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count += 1
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# Icons
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count = 0
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if len(allList[1]) != 0:
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for var in allList[1]:
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translatedText = translatedText.replace('{Ascii_' + str(count) + '}', var)
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count += 1
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# Colors
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count = 0
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if len(allList[2]) != 0:
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for var in allList[2]:
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translatedText = translatedText.replace('{Color_' + str(count) + '}', var)
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count += 1
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# Names
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count = 0
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if len(allList[3]) != 0:
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for var in allList[3]:
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translatedText = translatedText.replace('{Noun_' + str(count) + '}', var)
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count += 1
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# Vars
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count = 0
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if len(allList[4]) != 0:
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for var in allList[4]:
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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\
|
||
水原 雪 (Minahara Yuki) - Female\n\
|
||
黒服の男 (Man in Black) - Male\n\
|
||
駿河 京也 (Suruga Kyouya) - Male\n\
|
||
壱型０２ (Type 02) - Monster\n\
|
||
'
|
||
|
||
system = PROMPT + VOCAB if fullPromptFlag else \
|
||
f"\
|
||
You are an expert Eroge Game translator who translates Japanese text to English.\n\
|
||
You are going to be translating text from a videogame.\n\
|
||
I will give you lines of text, and you must translate each line to the best of your ability.\n\
|
||
{VOCAB}\n\
|
||
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\
|
||
"
|
||
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,
|
||
presence_penalty=0.1,
|
||
model=MODEL,
|
||
messages=msg,
|
||
)
|
||
return response
|
||
|
||
def cleanTranslatedText(translatedText, varResponse):
|
||
placeholders = {
|
||
f'{LANGUAGE} Translation: ': '',
|
||
'Translation: ': '',
|
||
'っ': '',
|
||
'〜': '~',
|
||
'ー': '-',
|
||
'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 [line for line in translatedText.replace('\\n', '\n').split('\n') if line]
|
||
|
||
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:
|
||
return [re.findall(pattern, line)[0][1] for line in translatedTextList if re.search(pattern, line)]
|
||
else:
|
||
matchList = re.findall(pattern, translatedTextList)
|
||
return matchList[0][1] 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):
|
||
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 = payload.replace('``', '`Placeholder Text`')
|
||
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
|
||
translatedTextList = cleanTranslatedText(translatedText, varResponse)
|
||
if isinstance(tItem, list):
|
||
extractedTranslations = extractTranslation(translatedTextList, True)
|
||
tList[index] = extractedTranslations
|
||
if len(tItem) != len(translatedTextList):
|
||
mismatch = True # Just here so breakpoint can be set
|
||
history = extractedTranslations[-10:] # Update history if we have a list
|
||
else:
|
||
# Ensure we're passing a single string to extractTranslation
|
||
extractedTranslations = extractTranslation('\n'.join(translatedTextList), False)
|
||
tList[index] = extractedTranslations
|
||
|
||
finalList = combineList(tList, text)
|
||
return [finalList, totalTokens]
|