704 lines
24 KiB
Python
704 lines
24 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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PBAR = None
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FILENAME = None
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# Full Width
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ascii_to_wide = dict((i, chr(i + 0xfee0)) for i in range(0x21, 0x7f))
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ascii_to_wide.update({0x20: u'\u3000', 0x2D: u'\u2212'}) # space and minus
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wide_to_ascii = dict((i, chr(i - 0xfee0)) for i in range(0xff01, 0xff5f))
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wide_to_ascii.update({0x3000: u' ', 0x2212: u'-'}) # space and minus
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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 handleOnscripter(filename, estimate):
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global ESTIMATE, FILENAME
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ESTIMATE = estimate
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FILENAME = filename
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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='cp932', 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 = parseOnscripter(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 parseOnscripter(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 = translateOnscripter(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 translateOnscripter(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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voice = False
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global LOCK, ESTIMATE, PBAR
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PBAR = pbar
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i = 0
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# Dialogue
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while i < len(data):
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# Lines
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regex = r'^([\u3000「（【[][^\n]+)'
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match = re.search(regex, data[i])
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if match != None and match.group(1) != '':
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originalString = match.group(1)
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# Pass 1
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if translatedList == []:
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# Grab Consecutive Strings
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jaString = match.group(1)
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while len(data) > i+1 and re.match(regex, data[i+1]):
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data[i] = ''
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i += 1
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jaString = f'{jaString} {data[i]}'
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# Convert from Wide
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jaString = jaString.translate(wide_to_ascii)
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# Remove any textwrap and \u3000 and \
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jaString = jaString.replace('\n', '')
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jaString = jaString.replace('\u3000', '')
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jaString = jaString.replace('\\', '')
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jaString = jaString.replace(' ＞', ')')
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jaString = jaString.replace('＜ ', '(')
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# Remove Furigana
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furiMatch = re.findall(r'({(.+?)\/(.+?)})', jaString)
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if furiMatch:
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for match in furiMatch:
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jaString = jaString.replace(match[0], match[2])
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# Add String
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stringList.append(jaString.strip())
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# Pass 2
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else:
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# Get Text
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if translatedList:
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# Grab and Pop
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translatedText = translatedList[0]
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translatedList.pop(0)
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# Set to None if empty list
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if len(translatedList) <= 0:
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translatedList = None
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# Textwrap & Other Text
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace('\n', '\n\u3000')
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# Split the string into lines
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lines = translatedText.split('\n')
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# Add a backslash after every 3rd line
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j = 0
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while j < len(lines):
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if j == 4:
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lines[j-1] = f'{lines[j-1]}\\'
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lines[j] = f'\n{lines[j]}'
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j += 1
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# Join the lines back into a single string
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translatedText = '\n'.join(lines)
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# Remove Double Spaces
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translatedText = translatedText.replace(' ', ' ')
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# Convert to Wide
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translatedText = translatedText.translate(ascii_to_wide)
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# Fix Formatting
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translatedText = fixText(translatedText)
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# Set Data
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data[i] = data[i].replace(originalString, f'{translatedText}')
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i += 1
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# Choices
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elif 'csel' in data[i] and translatedList != []:
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choiceList = []
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jaString = data[i]
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choiceList = re.findall(r'\"(.*?)\"', jaString)
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if len(choiceList) > 0:
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# Translate
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response = translateGPT(choiceList, 'This will be 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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# Set Data
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for j in range(len(translatedTextList)):
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# Convert to Wide
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translatedText = translatedTextList[j].translate(ascii_to_wide)
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# Set
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data[i] = data[i].replace(choiceList[j], translatedText)
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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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translateOnscripter(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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def fixText(translatedText):
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# Add Break
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translatedText = translatedText.replace('\"', '\'')
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translatedText = f'\u3000{translatedText}\\'
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# Unconvert Codes
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matchList = re.findall(r'([＄].+?)[^\w]', translatedText)
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if matchList:
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for match in matchList:
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translatedText = translatedText.replace(match, match.translate(wide_to_ascii))
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# Unconvert Color Codes
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matchList = re.findall(r'([＃][\w\d]{6})', translatedText)
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if matchList:
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for match in matchList:
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translatedText = translatedText.replace(match, match.translate(wide_to_ascii))
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# Unconvert Variables
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matchList = re.findall(r'([％]\w.+?)[^\w＿]', translatedText)
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if matchList:
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for match in matchList:
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translatedText = translatedText.replace(match, match.translate(wide_to_ascii))
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# Unconvert Backslashes
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matchList = re.findall(r'＼', translatedText)
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if matchList:
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for match in matchList:
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translatedText = translatedText.replace(match, match.translate(wide_to_ascii))
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return translatedText
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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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# 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'([\\]+c\[\d+\][\\]+c|[\\]+c\[\d+\])', 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:
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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)
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count += 1
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# Formatting
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count = 0
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if len(allList[5]) != 0:
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for var in allList[5]:
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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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レナリス (Renalith) - Female\n\
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スクルー (Sukuru) - Female\n\
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シスターミサ (Sister Misa) - Female\n\
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オリン (Orin) - Female\n\
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プローテ (Prote) - Female\n\
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夜霧 (Night Fog) - Female\n\
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ワウ (Wao) - Female\n\
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ファンナ (Fanna) - Female\n\
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精霊主スクルド (Spirit God Skuld) - Female\n\
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エキドナ (Echnida) - Female\n\
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マルス (Mars) - Male\n\
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ラヴィー (Lavi) - Unknown\n\
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魅音 (Mion) - Female\n\
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ヴィオラ (Viola) - Female\n\
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リンメイ (Lin Mei) - Female\n\
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リネット (Lynette) - Female\n\
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チェロル (Cheryl) - Female\n\
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カルーア姫 (Princess Karua) - Female\n\
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田姫 (Tajirme) - Female\n\
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リュート (Luto) - Male\n\
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ホルン (Horn) - Female\n\
|
||
ルメラ (Lumera) - Female\n\
|
||
末嬉 (Sueki) - Female\n\
|
||
モニカ姫 (Princess Monica) - Female\n\
|
||
エメルーラ (Emerald) - Female\n\
|
||
フンシス (Funsis) - Male \n\
|
||
バゼット (Bazzet) - 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 {LANGUAGE} 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'```json\n{subbedT}```'
|
||
return characters, system, user
|
||
|
||
def translateText(characters, system, user, history, penalty):
|
||
# 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,
|
||
frequency_penalty=penalty,
|
||
model=MODEL,
|
||
response_format={ "type": "json_object" },
|
||
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)
|
||
|
||
# Elongate Long Dashes (Since GPT Ignores them...)
|
||
translatedText = elongateCharacters(translatedText)
|
||
translatedText = resubVars(translatedText, varResponse[1])
|
||
return translatedText
|
||
|
||
def elongateCharacters(text):
|
||
# Define a pattern to match one character followed by one or more `ー` characters
|
||
# Using a positive lookbehind assertion to capture the preceding character
|
||
pattern = r'(?<=(.))ー+'
|
||
|
||
# Define a replacement function that elongates the captured character
|
||
def repl(match):
|
||
char = match.group(1) # The character before the ー sequence
|
||
count = len(match.group(0)) - 1 # Number of ー characters
|
||
return char * count # Replace ー sequence with the character repeated
|
||
|
||
# Use re.sub() to replace the pattern in the text
|
||
return re.sub(pattern, repl, text)
|
||
|
||
def extractTranslation(translatedTextList, is_list):
|
||
try:
|
||
line_dict = json.loads(translatedTextList)
|
||
# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
|
||
if is_list:
|
||
string_list = list(line_dict.values())
|
||
return string_list
|
||
except Exception as e:
|
||
print(e)
|
||
return translatedTextList
|
||
|
||
def countTokens(characters, system, user, history):
|
||
inputTotalTokens = 0
|
||
outputTotalTokens = 0
|
||
enc = tiktoken.encoding_for_model('gpt-4')
|
||
|
||
# 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))*3)
|
||
|
||
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):
|
||
global PBAR
|
||
|
||
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 = {f"Line{i+1}": string for i, string in enumerate(tItem)}
|
||
payload = json.dumps(payload, indent=4, ensure_ascii=False)
|
||
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):
|
||
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, 0.02)
|
||
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 len(tItem) != len(extractedTranslations):
|
||
# Mismatch. Try Again
|
||
response = translateText(characters, system, user, history, 0.2)
|
||
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 = 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
|
||
extractedTranslations = extractTranslation(translatedText, False)
|
||
tList[index] = extractedTranslations
|
||
|
||
finalList = combineList(tList, text)
|
||
return [finalList, totalTokens]
|