405 lines
No EOL
13 KiB
Python
405 lines
No EOL
13 KiB
Python
from concurrent.futures import ThreadPoolExecutor, as_completed
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import json
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import os
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from pathlib import Path
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import re
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import sys
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import textwrap
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import threading
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import time
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import traceback
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import tiktoken
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from colorama import Fore
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from dotenv import load_dotenv
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import openai
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from retry import retry
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from tqdm import tqdm
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#Globals
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load_dotenv()
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openai.organization = os.getenv('org')
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openai.api_key = os.getenv('key')
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APICOST = .03 # Depends on the model https://openai.com/pricing
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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THREADS = 20
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LOCK = threading.Lock()
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WIDTH = 60
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LISTWIDTH = 75
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MAXHISTORY = 10
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ESTIMATE = ''
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TOTALCOST = 0
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TOKENS = 0
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TOTALTOKENS = 0
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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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# Flags
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CODE401 = True
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CODE102 = True
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CODE122 = False
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CODE101 = False
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CODE355655 = False
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CODE357 = False
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CODE356 = False
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CODE320 = False
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CODE111 = False
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def handleLune(filename, estimate):
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global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
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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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TOTALCOST += translatedData[1] * .001 * APICOST
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TOTALTOKENS += translatedData[1]
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else:
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with open('translated/' + filename, 'w', encoding='shiftjis', newline='\n') 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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TOTALCOST += translatedData[1] * .001 * APICOST
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TOTALTOKENS += translatedData[1]
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return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
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def openFiles(filename):
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with open('files/' + filename, 'r', encoding='shiftjis') as f:
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translatedData = parseText(f, filename)
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return translatedData
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def getResultString(translatedData, translationTime, filename):
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# File Print String
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tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
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' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
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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 + ': ' + tokenString + 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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errorString = str(e) + Fore.RED
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return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
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errorString + Fore.RESET
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def parseText(data, filename):
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totalTokens = 0
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totalLines = 0
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global LOCK
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# Get total for progress bar
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linesList = data.readlines()
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totalLines = len(linesList)
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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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response = translateText(linesList, pbar)
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except Exception as e:
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traceback.print_exc()
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return [linesList, 0, e]
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return [response[0], response[1], None]
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def translateText(data, pbar):
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textHistory = []
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maxHistory = MAXHISTORY
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tokens = 0
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speaker = ''
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speakerFlag = False
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syncIndex = 0
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### Translation
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for i in range(len(data)):
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if syncIndex > i:
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i = syncIndex
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# Finish if at end
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if i+1 > len(data):
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return [data, tokens]
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# Remove newlines
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jaString = data[i]
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jaString = jaString.replace('\\n', '')
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jaString = jaString.replace('\n', '')
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# Reset Speaker
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if '00000000' == jaString:
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i += 1
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pbar.update(1)
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speaker = ''
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jaString = data[i]
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# Grab and Translate Speaker
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elif re.search(r'^0000[1-9]000$', jaString):
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i += 1
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pbar.update(1)
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jaString = data[i].replace('\n', '')
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jaString = jaString.replace('拓海', 'Takumi')
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jaString = jaString.replace('こはる', 'Koharu')
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jaString = jaString.replace('理央', 'Rio')
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jaString = jaString.replace('アリサ', 'Arisa')
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jaString = jaString.replace('友里子', 'Yuriko')
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# Translate Speaker
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response = translateGPT(jaString, 'Reply with only the english translation of the NPC name', True)
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tokens += response[1]
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speaker = response[0].strip('.')
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data[i] = speaker + '\n'
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# Set index to line
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i += 1
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pbar.update(1)
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else:
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pbar.update(1)
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continue
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# Translate
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finalJAString = data[i]
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# Remove Textwrap
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finalJAString = finalJAString.replace('\\n', ' ')
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finalJAString = finalJAString.replace('\n', ' ')
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if speaker == '':
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speaker = 'Takumi'
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response = translateGPT(speaker + ': ' + finalJAString, textHistory, True)
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tokens += response[1]
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translatedText = response[0]
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# Remove Textwrap
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translatedText = translatedText.replace('\\n', ' ')
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translatedText = translatedText.replace('\n', ' ')
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# Remove added speaker and quotes
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translatedText = re.sub(r'^.+?:\s', '', translatedText)
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# TextHistory is what we use to give GPT Context, so thats appended here.
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if speaker != '':
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textHistory.append(speaker + ': ' + translatedText)
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elif speakerFlag == False:
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textHistory.append('\"' + translatedText + '\"')
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# Keep textHistory list at length maxHistory
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if len(textHistory) > maxHistory:
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textHistory.pop(0)
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currentGroup = []
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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace(',\n', ', \n')
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translatedText = translatedText.replace('\n', '\\n')
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translatedText = translatedText.replace(',\\n', ', \\n')
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# Set Data
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data[i] = translatedText + '\n'
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syncIndex = i + 1
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pbar.update(1)
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return [data, tokens]
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def subVars(jaString):
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jaString = jaString.replace('\u3000', ' ')
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# Icons
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count = 0
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iconList = re.findall(r'[\\]+[iIkKwW]+\[[0-9]+\]', 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, '[N_' + 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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if '笑えるよね.' in jaString:
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print('t')
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formatList = re.findall(r'[\\]+CL', 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 = [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.replace(' ', '')
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translatedText = translatedText.replace(match, text)
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# Icons
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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('[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[1]) != 0:
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for var in allList[1]:
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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[2]) != 0:
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for var in allList[2]:
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translatedText = translatedText.replace('[N_' + 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[3]) != 0:
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for var in allList[3]:
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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[4]) != 0:
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for var in allList[4]:
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translatedText = translatedText.replace('[FCode_' + str(count) + ']', var)
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count += 1
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# Remove Color Variables Spaces
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# if '\\c' in translatedText:
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# translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
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# translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
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return translatedText
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@retry(exceptions=Exception, tries=5, delay=5)
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def translateGPT(t, history, fullPromptFlag):
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# If ESTIMATE is True just count this as an execution and return.
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if ESTIMATE:
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enc = tiktoken.encoding_for_model("gpt-4")
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tokens = len(enc.encode(t)) * 2 + len(enc.encode(str(history))) + len(enc.encode(PROMPT))
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return (t, tokens)
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# Sub Vars
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varResponse = subVars(t)
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subbedT = varResponse[0]
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# If there isn't any Japanese in the text just skip
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if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]', subbedT):
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return(t, 0)
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# Characters
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context = '```\
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Game Characters:\
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Character: 池ノ上 拓海 == Ikenoue Takumi - Gender: Male\
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Character: 福永 こはる == Fukunaga Koharu - Gender: Female\
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Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
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Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
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Character: 久我 友里子 == Kuga Yuriko - Gender: Female\
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```'
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# Prompt
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if fullPromptFlag:
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system = PROMPT
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user = 'Line to Translate = ' + subbedT
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else:
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system = 'Output ONLY the english translation in the following format: `Translation: <ENGLISH_TRANSLATION>`'
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user = 'Line to Translate = ' + subbedT
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# Create Message List
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msg = []
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msg.append({"role": "system", "content": system})
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msg.append({"role": "user", "content": context})
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if isinstance(history, list):
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for line in history:
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msg.append({"role": "user", "content": line})
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else:
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msg.append({"role": "user", "content": history})
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msg.append({"role": "user", "content": user})
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response = openai.ChatCompletion.create(
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temperature=0.1,
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frequency_penalty=0.2,
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presence_penalty=0.2,
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model="gpt-4",
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messages=msg,
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request_timeout=30,
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)
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# Save Translated Text
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translatedText = response.choices[0].message.content
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tokens = response.usage.total_tokens
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# Resub Vars
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translatedText = resubVars(translatedText, varResponse[1])
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# Remove Placeholder Text
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translatedText = translatedText.replace('English Translation: ', '')
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translatedText = translatedText.replace('Translation: ', '')
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translatedText = translatedText.replace('Line to Translate = ', '')
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translatedText = translatedText.replace('Translation = ', '')
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translatedText = translatedText.replace('Translate = ', '')
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translatedText = translatedText.replace('English Translation:', '')
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translatedText = translatedText.replace('Translation:', '')
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translatedText = translatedText.replace('Line to Translate =', '')
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translatedText = translatedText.replace('Translation =', '')
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translatedText = translatedText.replace('Translate =', '')
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translatedText = re.sub(r'Note:.*', '', translatedText)
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translatedText = translatedText.replace('っ', '')
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# Return Translation
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if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
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raise Exception
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else:
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return [translatedText, tokens] |