383 lines
No EOL
13 KiB
Python
383 lines
No EOL
13 KiB
Python
import os
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from pathlib import Path
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import re
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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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# 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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INPUTAPICOST = .002 # Depends on the model https://openai.com/pricing
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OUTPUTAPICOST = .002
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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THREADS = int(os.getenv('threads')) # Controls how many threads are working on a single file (May have to drop this)
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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 = 40
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MAXHISTORY = 10
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ESTIMATE = ''
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totalTokens = [0, 0]
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NAMESLIST = []
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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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# Translation Flags
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FIXTEXTWRAP = True
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IGNORETLTEXT = True
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def handleAtelier(filename, estimate):
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global ESTIMATE, totalTokens
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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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totalTokens[0] += translatedData[1][0]
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totalTokens[1] += translatedData[1][1]
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return getResultString(['', totalTokens, None], end - start, 'TOTAL')
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else:
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try:
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with open('translated/' + filename, 'w', encoding='utf-8') as outFile:
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start = time.time()
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translatedData = openFiles(filename)
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outFile.writelines(translatedData[0])
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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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totalTokens[0] += translatedData[1][0]
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totalTokens[1] += translatedData[1][1]
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except Exception:
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return 'Fail'
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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='UTF-8') 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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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] is 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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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 parseText(data, filename):
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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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totalTokens = [0,0]
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syncIndex = 0
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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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match = re.findall(r'◆.+◆(.+)', data[i])
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if len(match) > 0:
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jaString = match[0]
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### Translate
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# Remove any textwrap
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finalJAString = re.sub(r'\\n', ' ', jaString)
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# Translate
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response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
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totalTokens[0] += response[1][0]
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totalTokens[1] += response[1][1]
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translatedText = response[0]
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# TextHistory is what we use to give GPT Context, so thats appended here.
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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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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace('\n', '\\n')
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# Write
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data[i] = data[i].replace(match[0], translatedText)
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syncIndex = i + 1
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pbar.update()
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return [data, totalTokens]
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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, '{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'[\\]+[\w]+\[.+?\]', jaString)
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formatList = set(formatList)
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if len(formatList) != 0:
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for var in formatList:
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jaString = jaString.replace(var, '{FCode_' + str(count) + '}')
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count += 1
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# Put all lists in list and return
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allList = [nestedList, iconList, colorList, nameList, varList, formatList]
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return [jaString, allList]
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def resubVars(translatedText, allList):
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# Fix Spacing and ChatGPT Nonsense
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matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
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if len(matchList) > 0:
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for match in matchList:
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text = match.strip()
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translatedText = translatedText.replace(match, text)
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# Nested
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count = 0
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if len(allList[0]) != 0:
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for var in allList[0]:
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translatedText = translatedText.replace('{Nested_' + str(count) + '}', var)
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count += 1
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# Icons
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count = 0
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if len(allList[1]) != 0:
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for var in allList[1]:
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translatedText = translatedText.replace('{Ascii_' + str(count) + '}', var)
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count += 1
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# Colors
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count = 0
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if len(allList[2]) != 0:
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for var in allList[2]:
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translatedText = translatedText.replace('{Color_' + str(count) + '}', var)
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count += 1
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# Names
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count = 0
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if len(allList[3]) != 0:
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for var in allList[3]:
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translatedText = translatedText.replace('{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[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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# 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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# 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, [0,0])
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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(MODEL)
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historyRaw = ''
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if isinstance(history, list):
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for line in history:
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historyRaw += line
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else:
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historyRaw = history
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inputTotalTokens = len(enc.encode(historyRaw)) + len(enc.encode(PROMPT))
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outputTotalTokens = len(enc.encode(t)) * 2 # Estimating 2x the size of the original text
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totalTokens = [inputTotalTokens, outputTotalTokens]
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return (t, totalTokens)
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# Characters
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context = 'Game Characters:\
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Character: Surname:久高 Name:有史 == Surname:Kudaka Name:Yuushi - Gender: Male\
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Character: Surname:葛城 Name:碧璃 == Surname:Katsuragi Name:Midori - Gender: Female\
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Character: Surname:葛城 Name:依理子 == Surname:Katsuragi Name:Yoriko - Gender: Female\
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Character: Surname:桐乃木 Name:奏 == Surname:Kirinogi Name:Kanade - Gender: Female\
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Character: Surname:葛城 Name:光男 == Surname:Katsuragi Name:Mitsuo - Gender: Male\
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Character: Surname:尾木 Name:優真 == Surname:Ogi Name:Yuuma - Gender: Male'
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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 '+ LANGUAGE +' translation in the following format: `Translation: <'+ LANGUAGE.upper() +'_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,
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frequency_penalty=0.2,
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presence_penalty=0.2,
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model=MODEL,
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messages=msg,
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request_timeout=TIMEOUT,
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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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totalTokens = [response.usage.prompt_tokens, response.usage.completion_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(LANGUAGE +' 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(LANGUAGE +' 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('っ', '')
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translatedText = translatedText.replace('ッ', '')
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translatedText = translatedText.replace('ぁ', '')
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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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translatedText = translatedText.replace('！', '!')
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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, totalTokens] |