Create nscript parser
This commit is contained in:
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5 changed files with 663 additions and 401 deletions
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@ -24,6 +24,7 @@ from modules.kansen import handleKansen
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from modules.lune import handleLune
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from modules.atelier import handleAtelier
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from modules.anim import handleAnim
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from modules.nscript import handleNScript
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# For GPT4 rate limit will be hit if you have more than 1 thread.
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# 1 Thread for each file. Controls how many files are worked on at once.
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@ -41,6 +42,7 @@ MODULES = [
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["Lune", "json", handleLune],
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["Atelier", "txt", handleAtelier],
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["Anim", "json", handleAnim],
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["NScript", "txt", handleNScript],
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]
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# Info Message
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647
modules/nscript.py
Normal file
647
modules/nscript.py
Normal file
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@ -0,0 +1,647 @@
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# Libraries
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import os, re, textwrap, threading, time, traceback, tiktoken, openai
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from pathlib import Path
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from colorama import Fore
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from dotenv import load_dotenv
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from retry import retry
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from tqdm import tqdm
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# Open AI
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load_dotenv()
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if os.getenv('api').replace(' ', '') != '':
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openai.api_base = os.getenv('api')
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openai.organization = os.getenv('org')
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openai.api_key = os.getenv('key')
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#Globals
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MODEL = os.getenv('model')
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TIMEOUT = int(os.getenv('timeout'))
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LANGUAGE = os.getenv('language').capitalize()
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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VOCAB = Path('vocab.txt').read_text(encoding='utf-8')
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THREADS = int(os.getenv('threads'))
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LOCK = threading.Lock()
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WIDTH = int(os.getenv('width'))
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LISTWIDTH = int(os.getenv('listWidth'))
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NOTEWIDTH = 70
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MAXHISTORY = 10
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ESTIMATE = ''
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TOKENS = [0, 0]
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NAMESLIST = []
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NAMES = False # Output a list of all the character names found
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BRFLAG = False # If the game uses <br> instead
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FIXTEXTWRAP = True # Overwrites textwrap
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IGNORETLTEXT = False # Ignores all translated text.
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MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
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#tqdm Globals
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BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
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POSITION = 0
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LEAVE = False
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# Pricing - Depends on the model https://openai.com/pricing
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# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
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# If you are getting a MISMATCH LENGTH error, lower the batch size.
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if 'gpt-3.5' in MODEL:
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INPUTAPICOST = .002
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OUTPUTAPICOST = .002
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BATCHSIZE = 10
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elif 'gpt-4' in MODEL:
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INPUTAPICOST = .01
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OUTPUTAPICOST = .03
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BATCHSIZE = 10
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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='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='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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matchList = re.findall(r'\[sel.+text="(.+?)".+', data[i])
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if len(matchList) != 0:
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originalText = matchList[0]
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if len(textHistory) > 0:
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response = translateGPT(matchList[0], 'Keep your translation as brief as possible. Previous text for context: ' + textHistory[len(textHistory)-1] + '\n\nReply in the style of a dialogue option.', False)
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else:
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response = translateGPT(matchList[0], '\n\nReply in the style of a dialogue option.', False)
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translatedText = response[0]
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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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(originalText, translatedText)
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data[i] = translatedText
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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]:
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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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# 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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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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i+=1
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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 True:
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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 '央':
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return ['Akira', [0,0]]
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case '累':
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return ['Rui', [0,0]]
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case '梨里':
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return ['Riri', [0,0]]
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case '純':
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return ['Jun', [0,0]]
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case '美鈴':
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return ['Misuzu', [0,0]]
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case '須田':
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return ['Suda', [0,0]]
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case '高橋':
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return ['Takahashi', [0,0]]
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case '勇二':
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return ['Yuuji', [0,0]]
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case _:
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return translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False)
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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
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('{Ascii_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('{Color_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('{Noun_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Vars
|
||||
count = 0
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('{Var_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if len(allList[5]) != 0:
|
||||
for var in allList[5]:
|
||||
translatedText = translatedText.replace('{FCode_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
return translatedText
|
||||
|
||||
def batchList(input_list, batch_size):
|
||||
if not isinstance(batch_size, int) or batch_size <= 0:
|
||||
raise ValueError("batch_size must be a positive integer")
|
||||
|
||||
return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]
|
||||
|
||||
def createContext(fullPromptFlag, subbedT):
|
||||
characters = 'Game Characters:\n\
|
||||
渋江 央 (Shibue Akira) - Male\n\
|
||||
蘆名 累 (Ashina Rui) - Female\n\
|
||||
清原 梨里 (Kiyohara Riri) - Female\n\
|
||||
五十嵐 純 (Igarashi Jun) - Female\n\
|
||||
子野日 美鈴 (Nenohi Misuzu) - Female\n\
|
||||
須田 (Suda) - Male\n\
|
||||
高橋 (Takahashi) - Female\n\
|
||||
勇二 (Yuuji) - Male\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]
|
||||
|
|
@ -47,7 +47,7 @@ if 'gpt-3.5' in MODEL:
|
|||
elif 'gpt-4' in MODEL:
|
||||
INPUTAPICOST = .01
|
||||
OUTPUTAPICOST = .03
|
||||
BATCHSIZE = 20
|
||||
BATCHSIZE = 40
|
||||
FREQUENCY_PENALTY = 0.1
|
||||
|
||||
#tqdm Globals
|
||||
|
|
@ -56,11 +56,11 @@ POSITION = 0
|
|||
LEAVE = False
|
||||
|
||||
# Dialogue / Scroll
|
||||
CODE401 = False
|
||||
CODE405 = False
|
||||
CODE401 = True
|
||||
CODE405 = True
|
||||
|
||||
# Choices
|
||||
CODE102 = False
|
||||
CODE102 = True
|
||||
|
||||
# Variables
|
||||
CODE122 = False
|
||||
|
|
@ -69,7 +69,7 @@ CODE122 = False
|
|||
CODE101 = False
|
||||
|
||||
# Other
|
||||
CODE355655 = True
|
||||
CODE355655 = False
|
||||
CODE357 = False
|
||||
CODE657 = False
|
||||
CODE356 = False
|
||||
|
|
@ -1708,9 +1708,6 @@ def searchCodes(page, pbar, fillList, filename):
|
|||
for choice in range(len(codeList[i]['parameters'][0])):
|
||||
jaString = codeList[i]['parameters'][0][choice]
|
||||
jaString = jaString.replace(' 。', '.')
|
||||
# Things to Check before starting translation
|
||||
if re.search(r'[一-龠ぁ-ゔァ-ヴーa-zA-Z0-9]+', jaString):
|
||||
print('Test')
|
||||
|
||||
# Avoid Empty Strings
|
||||
if jaString == '':
|
||||
|
|
@ -2161,9 +2158,13 @@ def batchList(input_list, batch_size):
|
|||
|
||||
def createContext(fullPromptFlag, subbedT):
|
||||
characters = 'Game Characters:\n\
|
||||
神田 瑠唯 (Kanda Rui) - Female\n\
|
||||
ルイ (Rui) - Female\n\
|
||||
チュベロス (Tuberose) - Male\n\
|
||||
ルース (Ruth) - Male\n\
|
||||
リーザ (Reeza) - Female\n\
|
||||
エリル (Eril) - Female\n\
|
||||
シアン (Cyan) - Female\n\
|
||||
トリス (Tris) - Female\n\
|
||||
エリル (Eril) - Female\n\
|
||||
エリル (Eril) - Female\n\
|
||||
'
|
||||
|
||||
system = PROMPT + VOCAB if fullPromptFlag else \
|
||||
|
|
|
|||
390
modules/txt.py
390
modules/txt.py
|
|
@ -1,390 +0,0 @@
|
|||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import re
|
||||
import sys
|
||||
import textwrap
|
||||
import threading
|
||||
import time
|
||||
import traceback
|
||||
import tiktoken
|
||||
|
||||
from colorama import Fore
|
||||
from dotenv import load_dotenv
|
||||
import openai
|
||||
from retry import retry
|
||||
from tqdm import tqdm
|
||||
|
||||
#Globals
|
||||
load_dotenv()
|
||||
if os.getenv('api').replace(' ', '') != '':
|
||||
openai.api_base = os.getenv('api')
|
||||
|
||||
openai.organization = os.getenv('org')
|
||||
openai.api_key = os.getenv('key')
|
||||
MODEL = os.getenv('model')
|
||||
TIMEOUT = int(os.getenv('timeout'))
|
||||
LANGUAGE=os.getenv('language').capitalize()
|
||||
|
||||
APICOST = .002 # Depends on the model https://openai.com/pricing
|
||||
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
|
||||
VOCAB = Path('vocab.txt').read_text(encoding='utf-8')
|
||||
THREADS = int(os.getenv('threads'))
|
||||
LOCK = threading.Lock()
|
||||
WIDTH = int(os.getenv('width'))
|
||||
LISTWIDTH = int(os.getenv('listWidth'))
|
||||
MAXHISTORY = 10
|
||||
ESTIMATE = ''
|
||||
TOTALCOST = 0
|
||||
TOKENS = 0
|
||||
TOTALTOKENS = 0
|
||||
|
||||
#tqdm Globals
|
||||
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
|
||||
POSITION=0
|
||||
LEAVE=False
|
||||
|
||||
# Flags
|
||||
CODE401 = True
|
||||
CODE102 = True
|
||||
CODE122 = False
|
||||
CODE101 = False
|
||||
CODE355655 = False
|
||||
CODE357 = False
|
||||
CODE356 = False
|
||||
CODE320 = False
|
||||
CODE111 = False
|
||||
|
||||
def handleTXT(filename, estimate):
|
||||
global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
|
||||
ESTIMATE = estimate
|
||||
|
||||
if estimate:
|
||||
start = time.time()
|
||||
translatedData = openFiles(filename)
|
||||
|
||||
# Print Result
|
||||
end = time.time()
|
||||
tqdm.write(getResultString(['', TOKENS, None], end - start, filename))
|
||||
with LOCK:
|
||||
TOTALCOST += TOKENS * .001 * APICOST
|
||||
TOTALTOKENS += TOKENS
|
||||
TOKENS = 0
|
||||
|
||||
return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
|
||||
|
||||
else:
|
||||
with open('translated/' + filename, 'w', encoding='UTF-8') as outFile:
|
||||
start = time.time()
|
||||
translatedData = openFiles(filename)
|
||||
|
||||
# Print Result
|
||||
end = time.time()
|
||||
outFile.writelines(translatedData[0])
|
||||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||||
with LOCK:
|
||||
TOTALCOST += translatedData[1] * .001 * APICOST
|
||||
TOTALTOKENS += translatedData[1]
|
||||
|
||||
return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
|
||||
|
||||
def openFiles(filename):
|
||||
with open('files/' + filename, 'r', encoding='UTF-8') as f:
|
||||
translatedData = parseText(f, filename)
|
||||
|
||||
return translatedData
|
||||
|
||||
def getResultString(translatedData, translationTime, filename):
|
||||
# File Print String
|
||||
tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
|
||||
' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
|
||||
timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
|
||||
|
||||
if translatedData[2] == None:
|
||||
# Success
|
||||
return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
|
||||
|
||||
else:
|
||||
# Fail
|
||||
try:
|
||||
raise translatedData[2]
|
||||
except Exception as e:
|
||||
errorString = str(e) + Fore.RED
|
||||
return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
|
||||
errorString + Fore.RESET
|
||||
|
||||
def parseText(data, filename):
|
||||
totalTokens = 0
|
||||
totalLines = 0
|
||||
global LOCK
|
||||
|
||||
# Get total for progress bar
|
||||
linesList = data.readlines()
|
||||
totalLines = len(linesList)
|
||||
|
||||
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
|
||||
pbar.desc=filename
|
||||
pbar.total=totalLines
|
||||
try:
|
||||
response = translateText(linesList, pbar)
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
return [linesList, 0, e]
|
||||
return [response[0], response[1], None]
|
||||
|
||||
def translateText(data, pbar):
|
||||
textHistory = []
|
||||
maxHistory = MAXHISTORY
|
||||
tokens = 0
|
||||
speaker = ''
|
||||
speakerFlag = False
|
||||
currentGroup = []
|
||||
syncIndex = 0
|
||||
|
||||
for i in range(len(data)):
|
||||
if i != syncIndex:
|
||||
continue
|
||||
|
||||
match = re.findall(r'm\[[0-9]+\] = \"(.*)\"', data[i])
|
||||
if len(match) > 0:
|
||||
jaString = match[0]
|
||||
|
||||
### Translate
|
||||
# Remove any textwrap
|
||||
jaString = re.sub(r'\\n', ' ', jaString)
|
||||
|
||||
# Grab Speaker
|
||||
speakerMatch = re.findall(r's\[[0-9]+\] = \"(.+?)[/\"]', data[i-1])
|
||||
if len(speakerMatch) > 0:
|
||||
# If there isn't any Japanese in the text just skip
|
||||
if re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString) and '_' not in speakerMatch[0]:
|
||||
speaker = ''
|
||||
else:
|
||||
speaker = ''
|
||||
else:
|
||||
speaker = ''
|
||||
|
||||
# Grab rest of the messages
|
||||
currentGroup.append(jaString)
|
||||
start = i
|
||||
data[i] = re.sub(r'(m\[[0-9]+\]) = \"(.+)\"', rf'\1 = ""', data[i])
|
||||
while (len(data) > i+1 and re.search(r'm\[[0-9]+\] = \"(.*)\"', data[i+1]) != None):
|
||||
i+=1
|
||||
match = re.findall(r'm\[[0-9]+\] = \"(.*)\"', data[i])
|
||||
currentGroup.append(match[0])
|
||||
data[i] = re.sub(r'(m\[[0-9]+\]) = \"(.+)\"', rf'\1 = ""', data[i])
|
||||
finalJAString = ' '.join(currentGroup)
|
||||
|
||||
# Translate
|
||||
if speaker != '':
|
||||
response = translateGPT(f'{speaker}: {finalJAString}', 'Previous Text for Context: ' + ' '.join(textHistory), True)
|
||||
else:
|
||||
response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
|
||||
tokens += response[1]
|
||||
translatedText = response[0]
|
||||
|
||||
# Remove added speaker and quotes
|
||||
translatedText = re.sub(r'^.+?:\s', '', translatedText)
|
||||
|
||||
# TextHistory is what we use to give GPT Context, so thats appended here.
|
||||
# rawTranslatedText = re.sub(r'[\\<>]+[a-zA-Z]+\[[a-zA-Z0-9]+\]', '', translatedText)
|
||||
if speaker != '':
|
||||
textHistory.append(speaker + ': ' + translatedText)
|
||||
elif speakerFlag == False:
|
||||
textHistory.append('\"' + translatedText + '\"')
|
||||
|
||||
# Keep textHistory list at length maxHistory
|
||||
if len(textHistory) > maxHistory:
|
||||
textHistory.pop(0)
|
||||
currentGroup = []
|
||||
|
||||
# Textwrap
|
||||
translatedText = translatedText.replace('\"', '\\"')
|
||||
translatedText = textwrap.fill(translatedText, width=WIDTH)
|
||||
|
||||
# Write
|
||||
textList = translatedText.split("\n")
|
||||
for t in textList:
|
||||
data[start] = re.sub(r'(m\[[0-9]+\]) = \"(.*)\"', rf'\1 = "{t}"', data[start])
|
||||
start+=1
|
||||
|
||||
syncIndex = i + 1
|
||||
pbar.update()
|
||||
return [data, tokens]
|
||||
|
||||
def subVars(jaString):
|
||||
jaString = jaString.replace('\u3000', ' ')
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
iconList = re.findall(r'[\\]+[iI]\[[0-9]+\]', jaString)
|
||||
iconList = set(iconList)
|
||||
if len(iconList) != 0:
|
||||
for icon in iconList:
|
||||
jaString = jaString.replace(icon, '<I' + str(count) + '>')
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
|
||||
colorList = set(colorList)
|
||||
if len(colorList) != 0:
|
||||
for color in colorList:
|
||||
jaString = jaString.replace(color, '<C' + str(count) + '>')
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
nameList = re.findall(r'[\\]+[nN]\[[0-9]+\]', jaString)
|
||||
nameList = set(nameList)
|
||||
if len(nameList) != 0:
|
||||
for name in nameList:
|
||||
jaString = jaString.replace(name, '<N' + str(count) + '>')
|
||||
count += 1
|
||||
|
||||
# Variables
|
||||
count = 0
|
||||
varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
|
||||
varList = set(varList)
|
||||
if len(varList) != 0:
|
||||
for var in varList:
|
||||
jaString = jaString.replace(var, '<V' + str(count) + '>')
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
formatList = re.findall(r'[\\]+[!.]', jaString)
|
||||
formatList = set(formatList)
|
||||
if len(formatList) != 0:
|
||||
for format in formatList:
|
||||
jaString = jaString.replace(format, '<F' + str(count) + '>')
|
||||
count += 1
|
||||
|
||||
# Put all lists in list and return
|
||||
allList = [iconList, colorList, nameList, varList, formatList]
|
||||
return [jaString, allList]
|
||||
|
||||
def resubVars(translatedText, allList):
|
||||
# Fix Spacing and ChatGPT Nonsense
|
||||
matchList = re.findall(r'<\s?.+?\s?>', translatedText)
|
||||
if len(matchList) > 0:
|
||||
for match in matchList:
|
||||
text = match.strip()
|
||||
translatedText = translatedText.replace(match, text)
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
if len(allList[0]) != 0:
|
||||
for var in allList[0]:
|
||||
translatedText = translatedText.replace('<I' + str(count) + '>', var)
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('<C' + str(count) + '>', var)
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('<N' + str(count) + '>', var)
|
||||
count += 1
|
||||
|
||||
# Vars
|
||||
count = 0
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('<V' + str(count) + '>', var)
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('<F' + str(count) + '>', var)
|
||||
count += 1
|
||||
|
||||
@retry(exceptions=Exception, tries=5, delay=5)
|
||||
def translateGPT(t, history, fullPromptFlag):
|
||||
# If ESTIMATE is True just count this as an execution and return.
|
||||
if ESTIMATE:
|
||||
enc = tiktoken.encoding_for_model(MODEL)
|
||||
tokens = len(enc.encode(t)) * 2 + len(enc.encode(str(history))) + len(enc.encode(PROMPT))
|
||||
return (t, tokens)
|
||||
|
||||
# Sub Vars
|
||||
varResponse = subVars(t)
|
||||
subbedT = varResponse[0]
|
||||
|
||||
# If there isn't any Japanese in the text just skip
|
||||
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]', subbedT):
|
||||
return(t, 0)
|
||||
|
||||
# Characters
|
||||
context = '```\
|
||||
Game Characters:\
|
||||
Character: 池ノ上 拓海 == Ikenoue Takumi - Gender: Male\
|
||||
Character: 福永 こはる == Fukunaga Koharu - Gender: Female\
|
||||
Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
|
||||
Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
|
||||
Character: 久我 友里子 == Kuga Yuriko - Gender: Female\
|
||||
```'
|
||||
|
||||
# Prompt
|
||||
if fullPromptFlag:
|
||||
system = PROMPT
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
else:
|
||||
system = 'Output ONLY the '+ LANGUAGE +' translation in the following format: `Translation: <'+ LANGUAGE.upper() +'_TRANSLATION>`'
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
|
||||
# Create Message List
|
||||
msg = []
|
||||
msg.append({"role": "system", "content": system})
|
||||
msg.append({"role": "user", "content": context})
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
msg.append({"role": "user", "content": line})
|
||||
else:
|
||||
msg.append({"role": "user", "content": history})
|
||||
msg.append({"role": "user", "content": user})
|
||||
|
||||
response = openai.ChatCompletion.create(
|
||||
temperature=0.1,
|
||||
frequency_penalty=0.2,
|
||||
presence_penalty=0.2,
|
||||
model=MODEL,
|
||||
messages=msg,
|
||||
request_timeout=TIMEOUT,
|
||||
)
|
||||
|
||||
# Save Translated Text
|
||||
translatedText = response.choices[0].message.content
|
||||
tokens = response.usage.total_tokens
|
||||
|
||||
# Resub Vars
|
||||
translatedText = resubVars(translatedText, varResponse[1])
|
||||
|
||||
# Remove Placeholder Text
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation: ', '')
|
||||
translatedText = translatedText.replace('Translation: ', '')
|
||||
translatedText = translatedText.replace('Line to Translate = ', '')
|
||||
translatedText = translatedText.replace('Translation = ', '')
|
||||
translatedText = translatedText.replace('Translate = ', '')
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation:', '')
|
||||
translatedText = translatedText.replace('Translation:', '')
|
||||
translatedText = translatedText.replace('Line to Translate =', '')
|
||||
translatedText = translatedText.replace('Translation =', '')
|
||||
translatedText = translatedText.replace('Translate =', '')
|
||||
translatedText = re.sub(r'Note:.*', '', translatedText)
|
||||
translatedText = translatedText.replace('っ', '')
|
||||
|
||||
# Return Translation
|
||||
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
|
||||
raise Exception
|
||||
else:
|
||||
return [translatedText, tokens]
|
||||
|
|
@ -34,6 +34,8 @@ Here are some vocabulary and terms so that you know the proper spelling and tran
|
|||
魔法力 (M. Power)
|
||||
命中率 (Accuracy)
|
||||
%1 の%2を獲得! (Gained %1 %2!)
|
||||
持っている数 (Owned)
|
||||
ME 音量 (ME Volume)
|
||||
|
||||
# Other
|
||||
ソル (Sol)
|
||||
|
|
|
|||
Loading…
Reference in a new issue