871 lines
No EOL
33 KiB
Python
871 lines
No EOL
33 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 = .002 # 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 = 65
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LISTWIDTH = 100
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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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# Regex
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subVarRegex = r'(\\+[a-zA-Z]+)\[([a-zA-Z0-9一-龠ぁ-ゔァ-ヴー\s]+)\]'
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reSubVarRegex = r'\[([\\a-zA-Z]+)\=([a-zA-Z0-9一-龠ぁ-ゔァ-ヴー\s]+)]'
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def handleMVMZ(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(['', TOKENS, None], end - start, filename))
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with LOCK:
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TOTALCOST += TOKENS * .001 * APICOST
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TOTALTOKENS += TOKENS
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TOKENS = 0
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return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
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else:
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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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# Print Result
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end = time.time()
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json.dump(translatedData[0], outFile, ensure_ascii=False)
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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='UTF-8') as f:
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data = json.load(f)
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# Map Files
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if 'Map' in filename and filename != 'MapInfos.json':
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translatedData = parseMap(data, filename)
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# CommonEvents Files
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elif 'CommonEvents' in filename:
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translatedData = parseCommonEvents(data, filename)
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# Actor File
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elif 'Actors' in filename:
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translatedData = parseNames(data, filename, 'Actors')
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# Armor File
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elif 'Armors' in filename:
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translatedData = parseNames(data, filename, 'Armors')
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# Classes File
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elif 'Classes' in filename:
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translatedData = parseNames(data, filename, 'Classes')
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# Enemies File
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elif 'Enemies' in filename:
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translatedData = parseNames(data, filename, 'Enemies')
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# Items File
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elif 'Items' in filename:
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translatedData = parseThings(data, filename)
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# MapInfo File
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elif 'MapInfos' in filename:
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translatedData = parseNames(data, filename, 'MapInfos')
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# Skills File
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elif 'Skills' in filename:
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translatedData = parseSS(data, filename)
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# Troops File
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elif 'Troops' in filename:
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translatedData = parseTroops(data, filename)
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# States File
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elif 'States' in filename:
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translatedData = parseSS(data, filename)
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# System File
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elif 'System' in filename:
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translatedData = parseSystem(data, filename)
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else:
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raise NameError(filename + ' Not Supported')
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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 parseMap(data, filename):
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totalTokens = 0
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totalLines = 0
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events = data['events']
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global LOCK
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# Get total for progress bar
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for event in events:
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if event is not None:
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for page in event['pages']:
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totalLines += len(page['list'])
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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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with ThreadPoolExecutor(max_workers=THREADS) as executor:
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for event in events:
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if event is not None:
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futures = [executor.submit(searchCodes, page, pbar) for page in event['pages'] if page is not None]
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for future in as_completed(futures):
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try:
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totalTokens += future.result()
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseCommonEvents(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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for page in data:
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if page is not None:
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totalLines += len(page['list'])
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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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with ThreadPoolExecutor(max_workers=THREADS) as executor:
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futures = [executor.submit(searchCodes, page, pbar) for page in data if page is not None]
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for future in as_completed(futures):
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try:
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totalTokens += future.result()
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseTroops(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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for troop in data:
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if troop is not None:
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for page in troop['pages']:
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totalLines += len(page['list']) + 1 # The +1 is because each page has a name.
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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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for troop in data:
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if troop is not None:
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with ThreadPoolExecutor(max_workers=THREADS) as executor:
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futures = [executor.submit(searchCodes, page, pbar) for page in troop['pages'] if page is not None]
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for future in as_completed(futures):
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try:
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totalTokens += future.result()
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseNames(data, filename, context):
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totalTokens = 0
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totalLines = 0
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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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for name in data:
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if name is not None:
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try:
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result = searchNames(name, pbar, context)
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totalTokens += result
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseThings(data, filename):
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totalTokens = 0
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totalLines = 0
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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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for name in data:
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if name is not None:
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try:
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result = searchThings(name, pbar)
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totalTokens += result
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseSS(data, filename):
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totalTokens = 0
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totalLines = 0
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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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for ss in data:
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if ss is not None:
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try:
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result = searchSS(ss, pbar)
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totalTokens += result
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def parseSystem(data, filename):
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totalTokens = 0
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totalLines = 0
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# Calculate Total Lines
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for term in data['terms']:
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termList = data['terms'][term]
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totalLines += len(termList)
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totalLines += len(data['gameTitle'])
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totalLines += len(data['terms']['messages'])
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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 = searchSystem(data, pbar)
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totalTokens += result
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def searchThings(name, pbar):
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tokens = 0
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# Set the context of what we are translating
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responseList = []
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responseList.append(translateGPT(name['name'], 'Reply with only the english translated menu item name.', False))
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responseList.append(translateGPT(name['description'], 'Reply with only the english translated description.', True))
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responseList.append(translateGPT(name['note'], 'Reply with only the english translated note.', False))
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# Extract all our translations in a list from response
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for i in range(len(responseList)):
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tokens += responseList[i][1]
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responseList[i] = responseList[i][0]
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# Set Data
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name['name'] = responseList[0].strip('.')
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responseList[1] = textwrap.fill(responseList[1], LISTWIDTH)
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name['description'] = responseList[1]
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name['note'] = responseList[2]
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pbar.update(1)
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return tokens
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def searchNames(name, pbar, context):
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tokens = 0
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# Set the context of what we are translating
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if 'Actors' in context:
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newContext = 'Reply with only the english translated actor name'
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if 'Armors' in context:
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newContext = 'Reply with only the english translated armor name'
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if 'Classes' in context:
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newContext = 'Reply with only the english translated class name'
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if 'MapInfos' in context:
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newContext = 'Reply with only the english translated map name'
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if 'Enemies' in context:
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newContext = 'Reply with only the english translated enemy'
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# Extract Data
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responseList = []
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responseList.append(translateGPT(name['name'], newContext, False))
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if 'Armors' in context:
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responseList.append(translateGPT(name['description'], newContext, True))
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# Extract all our translations in a list from response
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for i in range(len(responseList)):
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tokens += responseList[i][1]
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responseList[i] = responseList[i][0]
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# Set Data
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name['name'] = responseList[0].strip('.')
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if 'Armors' in context:
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name['description'] = responseList[1]
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pbar.update(1)
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return tokens
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def searchCodes(page, pbar):
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translatedText = ''
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currentGroup = []
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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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match = []
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speakerCaught = False
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global LOCK
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try:
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for i in range(len(page['list'])):
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with LOCK:
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pbar.update(1)
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### All the codes are here which translate specific functions in the MAP files.
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### IF these crash or fail your game will do the same. Use the flags to skip codes.
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## Event Code: 401 Show Text
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if page['list'][i]['code'] == 401 and CODE401 == True:
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jaString = page['list'][i]['parameters'][0]
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# Catch speaker
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if jaString.endswith('\\C[0]') or jaString.endswith('\\c[0]'):
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# Need to remove outside code and put it back later
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startString = re.search(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', jaString)
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jaString = re.sub(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', '', jaString)
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endString = re.search(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', jaString)
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jaString = re.sub(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', '', jaString)
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if startString is None: startString = ''
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else: startString = startString.group()
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if endString is None: endString = ''
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else: endString = endString.group()
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# Translate
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response = translateGPT(jaString, '', True)
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tokens += response[1]
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translatedText = response[0]
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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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# Set Data
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speaker = startString + translatedText + endString
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speakerCaught = True
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else:
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# Remove repeating characters because it confuses ChatGPT
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jaString = re.sub(r'([\u3000-\uffef])\1{2,}', r'\1\1', jaString)
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# Using this to keep track of 401's in a row. Throws IndexError at EndOfList (Expected Behavior)
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currentGroup.append(jaString)
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while (page['list'][i+1]['code'] == 401):
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del page['list'][i]
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jaString = page['list'][i]['parameters'][0]
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jaString = re.sub(r'([\u3000-\uffef])\1{2,}', r'\1\1', jaString)
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currentGroup.append(jaString)
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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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# Check for speaker
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if '\\nw' in finalJAString:
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match = re.findall(r'([\\]+nw\[([a-zA-Z0-9一-龠ぁ-ゔァ-ヴー\s]+)\])', finalJAString)
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if len(match) != 0:
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response = translateGPT(match[0][1], 'Reply with only the english translated actor', False)
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tokens += response[1]
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speaker = response[0].strip('.')
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finalJAString = re.sub(r'([\\]+nw\[[a-zA-Z0-9一-龠ぁ-ゔァ-ヴー\s]+\])', '', finalJAString)
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# Sub Vars
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finalJAString = re.sub(subVarRegex, r'[\1=\2]', finalJAString)
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# Remove any textwrap
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finalJAString = re.sub(r'\n', ' ', finalJAString)
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# Translate
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if speaker != '':
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response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory) \
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+ '\n\n\n###\n\n\nCurrent Speaker: ' + speaker, True)
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else:
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response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory), True)
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tokens += response[1]
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translatedText = response[0]
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# ReSub Vars
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translatedText = re.sub(reSubVarRegex, r'\1[\2]', translatedText)
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translatedText = translatedText.strip('\"')
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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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else:
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textHistory.append(translatedText)
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# Name Handling
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if len(match) != 0:
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name = '\\nw[' + speaker + ']'
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if name not in translatedText:
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translatedText = translatedText + '\\nw[' + speaker + ']'
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if speakerCaught == True:
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translatedText = speaker + ':\n' + translatedText
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speakerCaught = False
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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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# Set Data
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page['list'][i]['parameters'][0] = translatedText
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speaker = ''
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match = []
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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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## Event Code: 122 [Control Variables] [Optional]
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if page['list'][i]['code'] == 122 and CODE122 == True:
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jaString = page['list'][i]['parameters'][4]
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if type(jaString) != str:
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continue
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# Definitely don't want to mess with files
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if '_' in jaString:
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continue
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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-ヴー]+', jaString):
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continue
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# Remove repeating characters because it confuses ChatGPT
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jaString = re.sub(r'([\u3000-\uffef])\1{2,}', r'\1\1', jaString)
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# Sub Vars
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jaString = re.sub(r'\\+([a-zA-Z]+)\[([0-9]+)\]', r'[\1\2]', jaString)
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# Translate
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response = translateGPT(jaString, '', True)
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tokens += response[1]
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translatedText = response[0]
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# Remove characters that may break scripts
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charList = ['.', '\"', '\\n', '\\']
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for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# ReSub Vars
|
|
translatedText = re.sub(r'\[([a-zA-Z]+)([0-9]+)]', r'\\\\\1[\2]', translatedText)
|
|
|
|
# Set Data
|
|
page['list'][i]['parameters'][4] = '\"' + translatedText + '\"'
|
|
|
|
## Event Code: 357 [Picture Text] [Optional]
|
|
if page['list'][i]['code'] == 357 and CODE357 == True:
|
|
if 'text' in page['list'][i]['parameters'][3]:
|
|
jaString = page['list'][i]['parameters'][3]['text']
|
|
if type(jaString) != str:
|
|
continue
|
|
|
|
# Definitely don't want to mess with files
|
|
if '_' in jaString:
|
|
continue
|
|
|
|
# If there isn't any Japanese in the text just skip
|
|
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString):
|
|
continue
|
|
|
|
# Need to remove outside non-japanese text and put it back later
|
|
startString = re.search(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', jaString)
|
|
jaString = re.sub(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', '', jaString)
|
|
if startString is None: startString = ''
|
|
else: startString = startString.group()
|
|
|
|
# Sub Vars
|
|
jaString = re.sub(r'\\+([a-zA-Z]+)\[([0-9]+)\]', r'[\1\2]', jaString)
|
|
|
|
# Translate
|
|
response = translateGPT(jaString, '', True)
|
|
tokens += response[1]
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['\"', '\\', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# Textwrap
|
|
translatedText = textwrap.fill(translatedText, width=50)
|
|
|
|
# ReSub Vars
|
|
translatedText = re.sub(r'\[([a-zA-Z]+)([0-9]+)]', r'\\\\\1[\2]', translatedText)
|
|
|
|
# Set Data
|
|
page['list'][i]['parameters'][3]['text'] = startString + translatedText
|
|
|
|
## Event Code: 101 [Name] [Optional]
|
|
if page['list'][i]['code'] == 101 and CODE101 == True:
|
|
jaString = page['list'][i]['parameters'][4]
|
|
if type(jaString) != str:
|
|
continue
|
|
|
|
# Definitely don't want to mess with files
|
|
if '_' in jaString:
|
|
continue
|
|
|
|
# If there isn't any Japanese in the text just skip
|
|
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString):
|
|
speaker = jaString
|
|
continue
|
|
|
|
# Translate
|
|
response = translateGPT(jaString, 'Reply with only the english translated name', False)
|
|
tokens += response[1]
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['.', '\"', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# Set Data
|
|
speaker = translatedText
|
|
page['list'][i]['parameters'][4] = translatedText
|
|
|
|
## Event Code: 355 or 655 Scripts [Optional]
|
|
if (page['list'][i]['code'] == 355 or page['list'][i]['code'] == 655) and CODE355655 == True:
|
|
jaString = page['list'][i]['parameters'][0]
|
|
|
|
# If there isn't any Japanese in the text just skip
|
|
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString):
|
|
continue
|
|
|
|
# Want to translate this script
|
|
if page['list'][i]['code'] == 355 and 'this.BLogAdd' not in jaString:
|
|
continue
|
|
|
|
# Don't want to touch certain scripts
|
|
if page['list'][i]['code'] == 655 and 'this.' in jaString:
|
|
continue
|
|
|
|
# Need to remove outside code and put it back later
|
|
startString = re.search(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', jaString)
|
|
jaString = re.sub(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', '', jaString)
|
|
endString = re.search(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', jaString)
|
|
jaString = re.sub(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', '', jaString)
|
|
if startString is None: startString = ''
|
|
else: startString = startString.group()
|
|
if endString is None: endString = ''
|
|
else: endString = endString.group()
|
|
|
|
# Translate
|
|
response = translateGPT(jaString, '', True)
|
|
tokens += response[1]
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['.', '\"', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# Set Data
|
|
page['list'][i]['parameters'][0] = startString + translatedText + endString
|
|
|
|
## Event Code: 356 D_TEXT
|
|
if page['list'][i]['code'] == 356 and CODE356 == True:
|
|
jaString = page['list'][i]['parameters'][0]
|
|
|
|
# If there isn't any Japanese in the text just skip
|
|
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString):
|
|
continue
|
|
|
|
# Want to translate this script
|
|
if 'D_TEXT' not in jaString:
|
|
continue
|
|
|
|
# Need to remove outside code and put it back later
|
|
startString = re.search(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', jaString)
|
|
jaString = re.sub(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', '', jaString)
|
|
endString = re.search(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', jaString)
|
|
jaString = re.sub(r'[^ぁ-んァ-ン一-龯\<\>【】]+$', '', jaString)
|
|
if startString is None: startString = ''
|
|
else: startString = startString.group()
|
|
if endString is None: endString = ''
|
|
else: endString = endString.group()
|
|
|
|
# Translate
|
|
response = translateGPT(jaString, '', True)
|
|
tokens += response[1]
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['.', '\"', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# Set Data
|
|
page['list'][i]['parameters'][0] = startString + translatedText + endString
|
|
|
|
### Event Code: 102 Show Choice
|
|
if page['list'][i]['code'] == 102 and CODE102 == True:
|
|
for choice in range(len(page['list'][i]['parameters'][0])):
|
|
choiceText = page['list'][i]['parameters'][0][choice]
|
|
translatedText = translatedText.replace(' 。', '.')
|
|
|
|
# Need to remove outside non-japanese text and put it back later
|
|
startString = re.search(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', choiceText)
|
|
choiceText = re.sub(r'^[^ぁ-んァ-ン一-龯\<\>【】]+', '', choiceText)
|
|
if startString is None: startString = ''
|
|
else: startString = startString.group()
|
|
|
|
if len(textHistory) > 0:
|
|
response = translateGPT(choiceText, 'Reply with only the english translation for the answer. QUESTION: ' \
|
|
+ textHistory[-1], True)
|
|
else:
|
|
response = translateGPT(choiceText, 'Reply with only the english translation for the answer. QUESTION: ' \
|
|
+ '', True)
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['.', '\"', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
# Set Data
|
|
tokens += response[1]
|
|
page['list'][i]['parameters'][0][choice] = startString + translatedText
|
|
|
|
except IndexError:
|
|
# This is part of the logic so we just pass it.
|
|
pass
|
|
except Exception as e:
|
|
tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
|
|
raise Exception(str(e) + '|Line:' + tracebackLineNo + '| Failed to translate: ' + jaString)
|
|
|
|
# Append leftover groups in 401
|
|
if len(currentGroup) > 0:
|
|
# Translate
|
|
if speaker != '':
|
|
response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory) \
|
|
+ '\n\n\n###\n\n\nCurrent Speaker: ' + speaker, True)
|
|
else:
|
|
response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory), True)
|
|
tokens += response[1]
|
|
translatedText = response[0]
|
|
|
|
# ReSub Vars
|
|
translatedText = re.sub(reSubVarRegex, r'\1[\2]', translatedText)
|
|
|
|
# TextHistory is what we use to give GPT Context, so thats appended here.
|
|
if speaker != '':
|
|
textHistory.append(speaker + ': ' + translatedText)
|
|
else:
|
|
textHistory.append(translatedText)
|
|
|
|
# Place name back in
|
|
if len(match) != 0:
|
|
name = '\\nw[' + speaker + ']'
|
|
if name not in translatedText:
|
|
translatedText = translatedText + '\\nw[' + speaker + ']'
|
|
match = []
|
|
|
|
# Textwrap
|
|
translatedText = textwrap.fill(translatedText, width=WIDTH)
|
|
|
|
# Set Data
|
|
page['list'][i]['parameters'][0] = translatedText
|
|
speaker = ''
|
|
match = []
|
|
|
|
# Keep textHistory list at length maxHistory
|
|
if len(textHistory) > maxHistory:
|
|
textHistory.pop(0)
|
|
currentGroup = []
|
|
|
|
return tokens
|
|
|
|
def searchSS(state, pbar):
|
|
'''Searches skills and states json files'''
|
|
tokens = 0
|
|
responseList = [0] * 7
|
|
|
|
responseList[0] = (translateGPT(state['message1'], 'Reply with the english translated Action being performed and no subject.', False))
|
|
responseList[1] = (translateGPT(state['message2'], 'Reply with the english translated Action being performed and no subject.', False))
|
|
responseList[2] = (translateGPT(state.get('message3', ''), 'Reply with the english translated Action being performed and no subject..', False))
|
|
responseList[3] = (translateGPT(state.get('message4', ''), 'Reply with the english translated Action being performed and no subject..', False))
|
|
responseList[4] = (translateGPT(state['name'], 'Reply with only the english translated RPG status effect name', True))
|
|
# responseList[5] = (translateGPT(state['note'], 'Reply with only the translated english note.', False))
|
|
if 'description' in state:
|
|
responseList[6] = (translateGPT(state['description'], 'Reply with the english translated description.', True))
|
|
|
|
# Put all our translations in a list
|
|
for i in range(len(responseList)):
|
|
if responseList[i] != 0:
|
|
tokens += responseList[i][1]
|
|
responseList[i] = responseList[i][0].strip('.\"')
|
|
|
|
# Set Data
|
|
if responseList[0] != '':
|
|
if responseList[0][0] != ' ':
|
|
state['message1'] = ' ' + responseList[0][0].lower() + responseList[0][1:]
|
|
state['message2'] = responseList[1]
|
|
if responseList[2] != '':
|
|
state['message3'] = responseList[2]
|
|
if responseList[3] != '':
|
|
state['message4'] = responseList[3]
|
|
state['name'] = responseList[4].strip('.')
|
|
# state['note'] = responseList[5]
|
|
if responseList[6] != 0:
|
|
responseList[6] = textwrap.fill(responseList[6], LISTWIDTH)
|
|
state['description'] = responseList[6]
|
|
|
|
|
|
pbar.update(1)
|
|
return tokens
|
|
|
|
def searchSystem(data, pbar):
|
|
tokens = 0
|
|
context = 'Reply with only the english translated menu item.'
|
|
|
|
# Title
|
|
response = translateGPT(data['gameTitle'], context, True)
|
|
tokens += response[1]
|
|
data['gameTitle'] = response[0].strip('.')
|
|
pbar.update(1)
|
|
|
|
# Terms
|
|
for term in data['terms']:
|
|
if term != 'messages':
|
|
termList = data['terms'][term]
|
|
for i in range(len(termList)): # Last item is a messages object
|
|
if termList[i] is not None:
|
|
response = translateGPT(termList[i], context, True)
|
|
tokens += response[1]
|
|
termList[i] = response[0].strip('.\"')
|
|
pbar.update(1)
|
|
|
|
# Armor Types
|
|
for i in range(len(data['armorTypes'])):
|
|
response = translateGPT(data['armorTypes'][i], 'Reply with only the english translate armor type', False)
|
|
tokens += response[1]
|
|
data['armorTypes'][i] = response[0].strip('.\"')
|
|
pbar.update(1)
|
|
|
|
# Skill Types
|
|
for i in range(len(data['skillTypes'])):
|
|
response = translateGPT(data['skillTypes'][i], 'Reply with only the english translate armor type', False)
|
|
tokens += response[1]
|
|
data['skillTypes'][i] = response[0].strip('.\"')
|
|
pbar.update(1)
|
|
|
|
# Messages
|
|
messages = (data['terms']['messages'])
|
|
for key, value in messages.items():
|
|
response = translateGPT(value, 'Reply with only the english translated answer', False)
|
|
translatedText = response[0]
|
|
|
|
# Remove characters that may break scripts
|
|
charList = ['.', '\"', '\\n']
|
|
for char in charList:
|
|
translatedText = translatedText.replace(char, '')
|
|
|
|
tokens += response[1]
|
|
messages[key] = translatedText
|
|
pbar.update(1)
|
|
|
|
return tokens
|
|
|
|
@retry(exceptions=Exception, tries=5, delay=5)
|
|
def translateGPT(t, history, fullPromptFlag):
|
|
with LOCK:
|
|
# If ESTIMATE is True just count this as an execution and return.
|
|
if ESTIMATE:
|
|
global TOKENS
|
|
enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
|
|
TOKENS += len(enc.encode(t)) * 2 + len(enc.encode(history)) + len(enc.encode(PROMPT))
|
|
return (t, 0)
|
|
|
|
# If there isn't any Japanese in the text just skip
|
|
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+', t):
|
|
return(t, 0)
|
|
|
|
"""Translate text using GPT"""
|
|
if fullPromptFlag:
|
|
system = PROMPT + history
|
|
else:
|
|
system = 'You are going to pretend to be a professional Japanese visual novel translator, \
|
|
editor, and localizer. ' + history
|
|
response = openai.ChatCompletion.create(
|
|
temperature=0,
|
|
model="gpt-3.5-turbo",
|
|
messages=[
|
|
{"role": "system", "content": system},
|
|
{"role": "user", "content": t}
|
|
],
|
|
request_timeout=30,
|
|
)
|
|
|
|
return [response.choices[0].message.content, response.usage.total_tokens]
|
|
|