Create nscript parser

This commit is contained in:
Dazed 2024-02-02 12:33:28 -06:00
parent aebe1f5e7d
commit 2210cc1436
5 changed files with 663 additions and 401 deletions

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@ -24,6 +24,7 @@ from modules.kansen import handleKansen
from modules.lune import handleLune
from modules.atelier import handleAtelier
from modules.anim import handleAnim
from modules.nscript import handleNScript
# For GPT4 rate limit will be hit if you have more than 1 thread.
# 1 Thread for each file. Controls how many files are worked on at once.
@ -41,6 +42,7 @@ MODULES = [
["Lune", "json", handleLune],
["Atelier", "txt", handleAtelier],
["Anim", "json", handleAnim],
["NScript", "txt", handleNScript],
]
# Info Message

647
modules/nscript.py Normal file
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@ -0,0 +1,647 @@
# Libraries
import os, re, textwrap, threading, time, traceback, tiktoken, openai
from pathlib import Path
from colorama import Fore
from dotenv import load_dotenv
from retry import retry
from tqdm import tqdm
# Open AI
load_dotenv()
if os.getenv('api').replace(' ', '') != '':
openai.api_base = os.getenv('api')
openai.organization = os.getenv('org')
openai.api_key = os.getenv('key')
#Globals
MODEL = os.getenv('model')
TIMEOUT = int(os.getenv('timeout'))
LANGUAGE = os.getenv('language').capitalize()
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
VOCAB = Path('vocab.txt').read_text(encoding='utf-8')
THREADS = int(os.getenv('threads'))
LOCK = threading.Lock()
WIDTH = int(os.getenv('width'))
LISTWIDTH = int(os.getenv('listWidth'))
NOTEWIDTH = 70
MAXHISTORY = 10
ESTIMATE = ''
TOKENS = [0, 0]
NAMESLIST = []
NAMES = False # Output a list of all the character names found
BRFLAG = False # If the game uses <br> instead
FIXTEXTWRAP = True # Overwrites textwrap
IGNORETLTEXT = False # Ignores all translated text.
MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
#tqdm Globals
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
POSITION = 0
LEAVE = False
# Pricing - Depends on the model https://openai.com/pricing
# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
# If you are getting a MISMATCH LENGTH error, lower the batch size.
if 'gpt-3.5' in MODEL:
INPUTAPICOST = .002
OUTPUTAPICOST = .002
BATCHSIZE = 10
elif 'gpt-4' in MODEL:
INPUTAPICOST = .01
OUTPUTAPICOST = .03
BATCHSIZE = 10
def handleNScript(filename, estimate):
global ESTIMATE
ESTIMATE = estimate
if ESTIMATE:
start = time.time()
translatedData = openFiles(filename)
# Print Result
end = time.time()
tqdm.write(getResultString(translatedData, end - start, filename))
with LOCK:
TOKENS[0] += translatedData[1][0]
TOKENS[1] += translatedData[1][1]
# Print Total
totalString = getResultString(['', TOKENS, None], end - start, 'TOTAL')
# Print any errors on maps
if len(MISMATCH) > 0:
return totalString + Fore.RED + f'\nMismatch Errors: {MISMATCH}' + Fore.RESET
else:
return totalString
else:
try:
with open('translated/' + filename, 'w', encoding='shift_jis', errors='ignore') as outFile:
start = time.time()
translatedData = openFiles(filename)
# Print Result
end = time.time()
outFile.writelines(translatedData[0])
tqdm.write(getResultString(translatedData, end - start, filename))
with LOCK:
TOKENS[0] += translatedData[1][0]
TOKENS[1] += translatedData[1][1]
except Exception as e:
traceback.print_exc()
return 'Fail'
return getResultString(['', TOKENS, None], end - start, 'TOTAL')
def getResultString(translatedData, translationTime, filename):
# File Print String
totalTokenstring =\
Fore.YELLOW +\
'[Input: ' + str(translatedData[1][0]) + ']'\
'[Output: ' + str(translatedData[1][1]) + ']'\
'[Cost: ${:,.4f}'.format((translatedData[1][0] * .001 * INPUTAPICOST) +\
(translatedData[1][1] * .001 * OUTPUTAPICOST)) + ']'
timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
if translatedData[2] == None:
# Success
return filename + ': ' + totalTokenstring + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
else:
# Fail
try:
raise translatedData[2]
except Exception as e:
traceback.print_exc()
errorString = str(e) + Fore.RED
return filename + ': ' + totalTokenstring + timeString + Fore.RED + u' \u2717 ' +\
errorString + Fore.RESET
def openFiles(filename):
with open('files/' + filename, 'r', encoding='cp932') as readFile:
translatedData = parseNScript(readFile, filename)
# Delete lines marked for deletion
finalData = []
for line in translatedData[0]:
if line != '\\d\n':
finalData.append(line)
translatedData[0] = finalData
return translatedData
def parseNScript(readFile, filename):
totalTokens = [0,0]
totalLines = 0
# Get total for progress bar
data = readFile.readlines()
totalLines = len(data)
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
pbar.desc=filename
pbar.total=totalLines
try:
result = translateNScript(data, pbar, totalLines)
totalTokens[0] += result[0]
totalTokens[1] += result[1]
except Exception as e:
traceback.print_exc()
return [data, totalTokens, e]
return [data, totalTokens, None]
def translateNScript(data, pbar, totalLines):
textHistory = []
batch = []
currentGroup = []
maxHistory = MAXHISTORY
tokens = [0,0]
speaker = ''
insertBool = False
global LOCK, ESTIMATE
i = 0
batchStartIndex = 0
while i < len(data):
# Speaker
matchList = re.findall(r'^【\s+(.*?)\s+】$', data[i])
if len(matchList) != 0:
response = getSpeaker(matchList[0])
speaker = response[0]
tokens[0] += response[1][0]
tokens[1] += response[1][1]
data[i] = '【 ' + speaker + ' 】\n'
i += 1
else:
speaker = ''
# Choices
matchList = re.findall(r'\[sel.+text="(.+?)".+', data[i])
if len(matchList) != 0:
originalText = matchList[0]
if len(textHistory) > 0:
response = translateGPT(matchList[0], 'Keep your translation as brief as possible. Previous text for context: ' + textHistory[len(textHistory)-1] + '\n\nReply in the style of a dialogue option.', False)
else:
response = translateGPT(matchList[0], '\n\nReply in the style of a dialogue option.', False)
translatedText = response[0]
tokens[0] += response[1][0]
tokens[1] += response[1][1]
# Remove characters that may break scripts
charList = ['.', '\"', '\\n']
for char in charList:
translatedText = translatedText.replace(char, '')
# Escape all '
translatedText = translatedText.replace('\\', '')
# translatedText = translatedText.replace("'", "\\\'")
# Set Data
translatedText = data[i].replace(originalText, translatedText)
data[i] = translatedText
# Lines
matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーa---9「」 >].*', data[i])
if len(matchList) > 0:
currentGroup.append(matchList[0])
if len(data) > i+1:
if speaker == '':
while '\n' != data[i+1] and '' not in data[i+1]:
if insertBool is True:
data[i] = '\d\n'
pbar.update(1)
i += 1
matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーa---9「」 >].*', data[i])
if len(matchList) > 0:
currentGroup.append(matchList[0])
else:
while ' ' in data[i+1][0] or '"' in data[i+1]:
if insertBool is True:
data[i] = '\d\n'
pbar.update(1)
i += 1
matchList = re.findall(r'^[一-龠ぁ-ゔァ-ヴーa---9「」 >].*', data[i])
if len(matchList) > 0:
currentGroup.append(matchList[0])
# Join up 401 groups for better translation.
if len(currentGroup) > 0:
finalJAString = ' '.join(currentGroup)
oldjaString = finalJAString
# Remove any textwrap
if FIXTEXTWRAP == True:
finalJAString = finalJAString.replace('>', '')
# Remove Extra Stuff bad for translation.
finalJAString = finalJAString.replace('', '')
finalJAString = finalJAString.replace('', '.')
finalJAString = finalJAString.replace('', '')
finalJAString = finalJAString.replace('', '')
finalJAString = finalJAString.replace('', '-')
finalJAString = finalJAString.replace('', '-')
finalJAString = finalJAString.replace('', '...')
finalJAString = re.sub(r'(\.{3}\.+)', '...', finalJAString)
finalJAString = finalJAString.replace(' ', ' ')
# Furigana Removal
matchList = re.findall(r'\((.+)/.*?』', finalJAString)
if len(matchList) > 0:
finalJAString = finalJAString.replace(matchList[0][0], matchList[0][1])
# Add Speaker (If there is one)
if speaker != '':
finalJAString = f'{speaker}: {finalJAString}'
# [Passthrough 1] Pulling From File
if insertBool is False:
# Append to List and Clear Values
batch.append(finalJAString)
speaker = ''
# Translate Batch if Full
if len(batch) == BATCHSIZE:
# Translate
response = translateGPT(batch, textHistory, True)
tokens[0] += response[1][0]
tokens[1] += response[1][1]
translatedBatch = response[0]
textHistory = translatedBatch[-10:]
# Set Values
if len(batch) == len(translatedBatch):
i = batchStartIndex
insertBool = True
# Mismatch
else:
pbar.write(f'Mismatch: {batchStartIndex} - {i}')
MISMATCH.append(batch)
batchStartIndex = i
batch.clear()
i += 1
if insertBool is True:
pbar.update(1)
currentGroup = []
# [Passthrough 2] Setting Data
else:
# Get Text
translatedText = translatedBatch[0]
translatedText = translatedText.replace('\\"', '\"')
translatedText = translatedText.replace('[', '(')
translatedText = translatedText.replace(']', ')')
# Remove added speaker
translatedText = re.sub(r'^.+?:\s', '', translatedText)
# Textwrap
translatedText = textwrap.fill(translatedText, width=WIDTH)
textList = translatedText.split('\n')
# Set Text
data[i] = '\d\n'
for line in textList:
# Wordwrap Text
line = textwrap.fill(line, width=WIDTH)
# Set
data.insert(i, '>' + line.strip() + '\n')
i+=1
translatedBatch.pop(0)
speaker = ''
currentGroup = []
# If Batch is empty. Move on.
if len(translatedBatch) == 0:
insertBool = False
batchStartIndex = i
batch.clear()
# Nothing relevant. Skip Line.
else:
i += 1
if insertBool is True:
pbar.update(1)
# Translate Batch if not empty and EOF
if len(batch) != 0 and i >= len(data):
# Translate
response = translateGPT(batch, textHistory, True)
tokens[0] += response[1][0]
tokens[1] += response[1][1]
translatedBatch = response[0]
textHistory = translatedBatch[-10:]
# Set Values
if len(batch) == len(translatedBatch):
i = batchStartIndex
insertBool = True
# Mismatch
else:
pbar.write(f'Mismatch: {batchStartIndex} - {i}')
MISMATCH.append(batch)
batchStartIndex = i
batch.clear()
currentGroup = []
return tokens
# Save some money and enter the character before translation
def getSpeaker(speaker):
match speaker:
case '':
return ['Akira', [0,0]]
case '':
return ['Rui', [0,0]]
case '梨里':
return ['Riri', [0,0]]
case '':
return ['Jun', [0,0]]
case '美鈴':
return ['Misuzu', [0,0]]
case '須田':
return ['Suda', [0,0]]
case '高橋':
return ['Takahashi', [0,0]]
case '勇二':
return ['Yuuji', [0,0]]
case _:
return translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False)
def subVars(jaString):
jaString = jaString.replace('\u3000', ' ')
# Nested
count = 0
nestedList = re.findall(r'[\\]+[\w]+\[[\\]+[\w]+\[[0-9]+\]\]', jaString)
nestedList = set(nestedList)
if len(nestedList) != 0:
for icon in nestedList:
jaString = jaString.replace(icon, '{Nested_' + str(count) + '}')
count += 1
# Icons
count = 0
iconList = re.findall(r'[\\]+[iIkKwWaA]+\[[0-9]+\]', jaString)
iconList = set(iconList)
if len(iconList) != 0:
for icon in iconList:
jaString = jaString.replace(icon, '{Ascii_' + str(count) + '}')
count += 1
# Colors
count = 0
colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
colorList = set(colorList)
if len(colorList) != 0:
for color in colorList:
jaString = jaString.replace(color, '{Color_' + str(count) + '}')
count += 1
# Names
count = 0
nameList = re.findall(r'[\\]+[nN]\[.+?\]+', jaString)
nameList = set(nameList)
if len(nameList) != 0:
for name in nameList:
jaString = jaString.replace(name, '{Noun_' + str(count) + '}')
count += 1
# Variables
count = 0
varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
varList = set(varList)
if len(varList) != 0:
for var in varList:
jaString = jaString.replace(var, '{Var_' + str(count) + '}')
count += 1
# Formatting
count = 0
formatList = re.findall(r'[\\]+[\w]+\[.+?\]', jaString)
formatList = set(formatList)
if len(formatList) != 0:
for var in formatList:
jaString = jaString.replace(var, '{FCode_' + str(count) + '}')
count += 1
# Put all lists in list and return
allList = [nestedList, iconList, colorList, nameList, varList, formatList]
return [jaString, allList]
def resubVars(translatedText, allList):
# Fix Spacing and ChatGPT Nonsense
matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
if len(matchList) > 0:
for match in matchList:
text = match.strip()
translatedText = translatedText.replace(match, text)
# Nested
count = 0
if len(allList[0]) != 0:
for var in allList[0]:
translatedText = translatedText.replace('{Nested_' + str(count) + '}', var)
count += 1
# Icons
count = 0
if len(allList[1]) != 0:
for var in allList[1]:
translatedText = translatedText.replace('{Ascii_' + str(count) + '}', var)
count += 1
# Colors
count = 0
if len(allList[2]) != 0:
for var in allList[2]:
translatedText = translatedText.replace('{Color_' + str(count) + '}', var)
count += 1
# Names
count = 0
if len(allList[3]) != 0:
for var in allList[3]:
translatedText = translatedText.replace('{Noun_' + str(count) + '}', var)
count += 1
# Vars
count = 0
if len(allList[4]) != 0:
for var in allList[4]:
translatedText = translatedText.replace('{Var_' + str(count) + '}', var)
count += 1
# Formatting
count = 0
if len(allList[5]) != 0:
for var in allList[5]:
translatedText = translatedText.replace('{FCode_' + str(count) + '}', var)
count += 1
return translatedText
def batchList(input_list, batch_size):
if not isinstance(batch_size, int) or batch_size <= 0:
raise ValueError("batch_size must be a positive integer")
return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]
def createContext(fullPromptFlag, subbedT):
characters = 'Game Characters:\n\
渋江 (Shibue Akira) - Male\n\
蘆名 (Ashina Rui) - Female\n\
清原 梨里 (Kiyohara Riri) - Female\n\
五十嵐 (Igarashi Jun) - Female\n\
子野日 美鈴 (Nenohi Misuzu) - Female\n\
須田 (Suda) - Male\n\
高橋 (Takahashi) - Female\n\
勇二 (Yuuji) - Male\n\
'
system = PROMPT + VOCAB if fullPromptFlag else \
f"\
You are an expert Eroge Game translator who translates Japanese text to English.\n\
You are going to be translating text from a videogame.\n\
I will give you lines of text, and you must translate each line to the best of your ability.\n\
{VOCAB}\n\
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\
"
user = f'{subbedT}'
return characters, system, user
def translateText(characters, system, user, history):
# Prompt
msg = [{"role": "system", "content": system + characters}]
# Characters
msg.append({"role": "system", "content": characters})
# History
if isinstance(history, list):
msg.extend([{"role": "system", "content": h} for h in history])
else:
msg.append({"role": "system", "content": history})
# Content to TL
msg.append({"role": "user", "content": f'{user}'})
response = openai.chat.completions.create(
temperature=0.1,
frequency_penalty=0.1,
presence_penalty=0.1,
model=MODEL,
messages=msg,
)
return response
def cleanTranslatedText(translatedText, varResponse):
placeholders = {
f'{LANGUAGE} Translation: ': '',
'Translation: ': '',
'': '',
'': '~',
'': '-',
'': '',
'': '.',
'Placeholder Text': ''
# Add more replacements as needed
}
for target, replacement in placeholders.items():
translatedText = translatedText.replace(target, replacement)
translatedText = resubVars(translatedText, varResponse[1])
return [line for line in translatedText.replace('\\n', '\n').split('\n') if line]
def extractTranslation(translatedTextList, is_list):
pattern = r'`?<Line(\d+)>([\\]*.*?[\\]*?)<\/?Line\d+>`?'
# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
if is_list:
return [re.findall(pattern, line)[0][1] for line in translatedTextList if re.search(pattern, line)]
else:
matchList = re.findall(pattern, translatedTextList)
return matchList[0][1] if matchList else translatedTextList
def countTokens(characters, system, user, history):
inputTotalTokens = 0
outputTotalTokens = 0
enc = tiktoken.encoding_for_model(MODEL)
# Input
if isinstance(history, list):
for line in history:
inputTotalTokens += len(enc.encode(line))
else:
inputTotalTokens += len(enc.encode(history))
inputTotalTokens += len(enc.encode(system))
inputTotalTokens += len(enc.encode(characters))
inputTotalTokens += len(enc.encode(user))
# Output
outputTotalTokens += round(len(enc.encode(user))/1.5)
return [inputTotalTokens, outputTotalTokens]
def combineList(tlist, text):
if isinstance(text, list):
return [t for sublist in tlist for t in sublist]
return tlist[0]
@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(text, history, fullPromptFlag):
totalTokens = [0, 0]
if isinstance(text, list):
tList = batchList(text, BATCHSIZE)
else:
tList = [text]
for index, tItem in enumerate(tList):
# Before sending to translation, if we have a list of items, add the formatting
if isinstance(tItem, list):
payload = '\n'.join([f'`<Line{i}>{item}</Line{i}>`' for i, item in enumerate(tItem)])
payload = payload.replace('``', '`Placeholder Text`')
varResponse = subVars(payload)
subbedT = varResponse[0]
else:
varResponse = subVars(tItem)
subbedT = varResponse[0]
# Things to Check before starting translation
if not re.search(r'[一-龠ぁ-ゔァ-ヴーa---]+', subbedT):
continue
# Create Message
characters, system, user = createContext(fullPromptFlag, subbedT)
# Calculate Estimate
if ESTIMATE:
estimate = countTokens(characters, system, user, history)
totalTokens[0] += estimate[0]
totalTokens[1] += estimate[1]
continue
# Translating
response = translateText(characters, system, user, history)
translatedText = response.choices[0].message.content
totalTokens[0] += response.usage.prompt_tokens
totalTokens[1] += response.usage.completion_tokens
# Formatting
translatedTextList = cleanTranslatedText(translatedText, varResponse)
if isinstance(tItem, list):
extractedTranslations = extractTranslation(translatedTextList, True)
tList[index] = extractedTranslations
if len(tItem) != len(translatedTextList):
mismatch = True # Just here so breakpoint can be set
history = extractedTranslations[-10:] # Update history if we have a list
else:
# Ensure we're passing a single string to extractTranslation
extractedTranslations = extractTranslation('\n'.join(translatedTextList), False)
tList[index] = extractedTranslations
finalList = combineList(tList, text)
return [finalList, totalTokens]

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@ -47,7 +47,7 @@ if 'gpt-3.5' in MODEL:
elif 'gpt-4' in MODEL:
INPUTAPICOST = .01
OUTPUTAPICOST = .03
BATCHSIZE = 20
BATCHSIZE = 40
FREQUENCY_PENALTY = 0.1
#tqdm Globals
@ -56,11 +56,11 @@ POSITION = 0
LEAVE = False
# Dialogue / Scroll
CODE401 = False
CODE405 = False
CODE401 = True
CODE405 = True
# Choices
CODE102 = False
CODE102 = True
# Variables
CODE122 = False
@ -69,7 +69,7 @@ CODE122 = False
CODE101 = False
# Other
CODE355655 = True
CODE355655 = False
CODE357 = False
CODE657 = False
CODE356 = False
@ -1708,9 +1708,6 @@ def searchCodes(page, pbar, fillList, filename):
for choice in range(len(codeList[i]['parameters'][0])):
jaString = codeList[i]['parameters'][0][choice]
jaString = jaString.replace('', '.')
# Things to Check before starting translation
if re.search(r'[一-龠ぁ-ゔァ-ヴーa---]+', jaString):
print('Test')
# Avoid Empty Strings
if jaString == '':
@ -2161,9 +2158,13 @@ def batchList(input_list, batch_size):
def createContext(fullPromptFlag, subbedT):
characters = 'Game Characters:\n\
神田 瑠唯 (Kanda Rui) - Female\n\
ルイ (Rui) - Female\n\
チュベロス (Tuberose) - Male\n\
ルース (Ruth) - Male\n\
リーザ (Reeza) - Female\n\
エリル (Eril) - Female\n\
シアン (Cyan) - Female\n\
トリス (Tris) - Female\n\
エリル (Eril) - Female\n\
エリル (Eril) - Female\n\
'
system = PROMPT + VOCAB if fullPromptFlag else \

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@ -1,390 +0,0 @@
from concurrent.futures import ThreadPoolExecutor, as_completed
import json
import os
from pathlib import Path
import re
import sys
import textwrap
import threading
import time
import traceback
import tiktoken
from colorama import Fore
from dotenv import load_dotenv
import openai
from retry import retry
from tqdm import tqdm
#Globals
load_dotenv()
if os.getenv('api').replace(' ', '') != '':
openai.api_base = os.getenv('api')
openai.organization = os.getenv('org')
openai.api_key = os.getenv('key')
MODEL = os.getenv('model')
TIMEOUT = int(os.getenv('timeout'))
LANGUAGE=os.getenv('language').capitalize()
APICOST = .002 # Depends on the model https://openai.com/pricing
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
VOCAB = Path('vocab.txt').read_text(encoding='utf-8')
THREADS = int(os.getenv('threads'))
LOCK = threading.Lock()
WIDTH = int(os.getenv('width'))
LISTWIDTH = int(os.getenv('listWidth'))
MAXHISTORY = 10
ESTIMATE = ''
TOTALCOST = 0
TOKENS = 0
TOTALTOKENS = 0
#tqdm Globals
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
POSITION=0
LEAVE=False
# Flags
CODE401 = True
CODE102 = True
CODE122 = False
CODE101 = False
CODE355655 = False
CODE357 = False
CODE356 = False
CODE320 = False
CODE111 = False
def handleTXT(filename, estimate):
global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
ESTIMATE = estimate
if estimate:
start = time.time()
translatedData = openFiles(filename)
# Print Result
end = time.time()
tqdm.write(getResultString(['', TOKENS, None], end - start, filename))
with LOCK:
TOTALCOST += TOKENS * .001 * APICOST
TOTALTOKENS += TOKENS
TOKENS = 0
return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
else:
with open('translated/' + filename, 'w', encoding='UTF-8') as outFile:
start = time.time()
translatedData = openFiles(filename)
# Print Result
end = time.time()
outFile.writelines(translatedData[0])
tqdm.write(getResultString(translatedData, end - start, filename))
with LOCK:
TOTALCOST += translatedData[1] * .001 * APICOST
TOTALTOKENS += translatedData[1]
return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
def openFiles(filename):
with open('files/' + filename, 'r', encoding='UTF-8') as f:
translatedData = parseText(f, filename)
return translatedData
def getResultString(translatedData, translationTime, filename):
# File Print String
tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
if translatedData[2] == None:
# Success
return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
else:
# Fail
try:
raise translatedData[2]
except Exception as e:
errorString = str(e) + Fore.RED
return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
errorString + Fore.RESET
def parseText(data, filename):
totalTokens = 0
totalLines = 0
global LOCK
# Get total for progress bar
linesList = data.readlines()
totalLines = len(linesList)
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
pbar.desc=filename
pbar.total=totalLines
try:
response = translateText(linesList, pbar)
except Exception as e:
traceback.print_exc()
return [linesList, 0, e]
return [response[0], response[1], None]
def translateText(data, pbar):
textHistory = []
maxHistory = MAXHISTORY
tokens = 0
speaker = ''
speakerFlag = False
currentGroup = []
syncIndex = 0
for i in range(len(data)):
if i != syncIndex:
continue
match = re.findall(r'm\[[0-9]+\] = \"(.*)\"', data[i])
if len(match) > 0:
jaString = match[0]
### Translate
# Remove any textwrap
jaString = re.sub(r'\\n', ' ', jaString)
# Grab Speaker
speakerMatch = re.findall(r's\[[0-9]+\] = \"(.+?)[\"]', data[i-1])
if len(speakerMatch) > 0:
# If there isn't any Japanese in the text just skip
if re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', jaString) and '_' not in speakerMatch[0]:
speaker = ''
else:
speaker = ''
else:
speaker = ''
# Grab rest of the messages
currentGroup.append(jaString)
start = i
data[i] = re.sub(r'(m\[[0-9]+\]) = \"(.+)\"', rf'\1 = ""', data[i])
while (len(data) > i+1 and re.search(r'm\[[0-9]+\] = \"(.*)\"', data[i+1]) != None):
i+=1
match = re.findall(r'm\[[0-9]+\] = \"(.*)\"', data[i])
currentGroup.append(match[0])
data[i] = re.sub(r'(m\[[0-9]+\]) = \"(.+)\"', rf'\1 = ""', data[i])
finalJAString = ' '.join(currentGroup)
# Translate
if speaker != '':
response = translateGPT(f'{speaker}: {finalJAString}', 'Previous Text for Context: ' + ' '.join(textHistory), True)
else:
response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
tokens += response[1]
translatedText = response[0]
# Remove added speaker and quotes
translatedText = re.sub(r'^.+?:\s', '', translatedText)
# TextHistory is what we use to give GPT Context, so thats appended here.
# rawTranslatedText = re.sub(r'[\\<>]+[a-zA-Z]+\[[a-zA-Z0-9]+\]', '', translatedText)
if speaker != '':
textHistory.append(speaker + ': ' + translatedText)
elif speakerFlag == False:
textHistory.append('\"' + translatedText + '\"')
# Keep textHistory list at length maxHistory
if len(textHistory) > maxHistory:
textHistory.pop(0)
currentGroup = []
# Textwrap
translatedText = translatedText.replace('\"', '\\"')
translatedText = textwrap.fill(translatedText, width=WIDTH)
# Write
textList = translatedText.split("\n")
for t in textList:
data[start] = re.sub(r'(m\[[0-9]+\]) = \"(.*)\"', rf'\1 = "{t}"', data[start])
start+=1
syncIndex = i + 1
pbar.update()
return [data, tokens]
def subVars(jaString):
jaString = jaString.replace('\u3000', ' ')
# Icons
count = 0
iconList = re.findall(r'[\\]+[iI]\[[0-9]+\]', jaString)
iconList = set(iconList)
if len(iconList) != 0:
for icon in iconList:
jaString = jaString.replace(icon, '<I' + str(count) + '>')
count += 1
# Colors
count = 0
colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
colorList = set(colorList)
if len(colorList) != 0:
for color in colorList:
jaString = jaString.replace(color, '<C' + str(count) + '>')
count += 1
# Names
count = 0
nameList = re.findall(r'[\\]+[nN]\[[0-9]+\]', jaString)
nameList = set(nameList)
if len(nameList) != 0:
for name in nameList:
jaString = jaString.replace(name, '<N' + str(count) + '>')
count += 1
# Variables
count = 0
varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
varList = set(varList)
if len(varList) != 0:
for var in varList:
jaString = jaString.replace(var, '<V' + str(count) + '>')
count += 1
# Formatting
count = 0
formatList = re.findall(r'[\\]+[!.]', jaString)
formatList = set(formatList)
if len(formatList) != 0:
for format in formatList:
jaString = jaString.replace(format, '<F' + str(count) + '>')
count += 1
# Put all lists in list and return
allList = [iconList, colorList, nameList, varList, formatList]
return [jaString, allList]
def resubVars(translatedText, allList):
# Fix Spacing and ChatGPT Nonsense
matchList = re.findall(r'<\s?.+?\s?>', translatedText)
if len(matchList) > 0:
for match in matchList:
text = match.strip()
translatedText = translatedText.replace(match, text)
# Icons
count = 0
if len(allList[0]) != 0:
for var in allList[0]:
translatedText = translatedText.replace('<I' + str(count) + '>', var)
count += 1
# Colors
count = 0
if len(allList[1]) != 0:
for var in allList[1]:
translatedText = translatedText.replace('<C' + str(count) + '>', var)
count += 1
# Names
count = 0
if len(allList[2]) != 0:
for var in allList[2]:
translatedText = translatedText.replace('<N' + str(count) + '>', var)
count += 1
# Vars
count = 0
if len(allList[3]) != 0:
for var in allList[3]:
translatedText = translatedText.replace('<V' + str(count) + '>', var)
count += 1
# Formatting
count = 0
if len(allList[4]) != 0:
for var in allList[4]:
translatedText = translatedText.replace('<F' + str(count) + '>', var)
count += 1
@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(t, history, fullPromptFlag):
# If ESTIMATE is True just count this as an execution and return.
if ESTIMATE:
enc = tiktoken.encoding_for_model(MODEL)
tokens = len(enc.encode(t)) * 2 + len(enc.encode(str(history))) + len(enc.encode(PROMPT))
return (t, tokens)
# Sub Vars
varResponse = subVars(t)
subbedT = varResponse[0]
# If there isn't any Japanese in the text just skip
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]', subbedT):
return(t, 0)
# Characters
context = '```\
Game Characters:\
Character: 池ノ上 拓海 == Ikenoue Takumi - Gender: Male\
Character: 福永 こはる == Fukunaga Koharu - Gender: Female\
Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
Character: 久我 友里子 == Kuga Yuriko - Gender: Female\
```'
# Prompt
if fullPromptFlag:
system = PROMPT
user = 'Line to Translate = ' + subbedT
else:
system = 'Output ONLY the '+ LANGUAGE +' translation in the following format: `Translation: <'+ LANGUAGE.upper() +'_TRANSLATION>`'
user = 'Line to Translate = ' + subbedT
# Create Message List
msg = []
msg.append({"role": "system", "content": system})
msg.append({"role": "user", "content": context})
if isinstance(history, list):
for line in history:
msg.append({"role": "user", "content": line})
else:
msg.append({"role": "user", "content": history})
msg.append({"role": "user", "content": user})
response = openai.ChatCompletion.create(
temperature=0.1,
frequency_penalty=0.2,
presence_penalty=0.2,
model=MODEL,
messages=msg,
request_timeout=TIMEOUT,
)
# Save Translated Text
translatedText = response.choices[0].message.content
tokens = response.usage.total_tokens
# Resub Vars
translatedText = resubVars(translatedText, varResponse[1])
# Remove Placeholder Text
translatedText = translatedText.replace(LANGUAGE +' Translation: ', '')
translatedText = translatedText.replace('Translation: ', '')
translatedText = translatedText.replace('Line to Translate = ', '')
translatedText = translatedText.replace('Translation = ', '')
translatedText = translatedText.replace('Translate = ', '')
translatedText = translatedText.replace(LANGUAGE +' Translation:', '')
translatedText = translatedText.replace('Translation:', '')
translatedText = translatedText.replace('Line to Translate =', '')
translatedText = translatedText.replace('Translation =', '')
translatedText = translatedText.replace('Translate =', '')
translatedText = re.sub(r'Note:.*', '', translatedText)
translatedText = translatedText.replace('', '')
# Return Translation
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
raise Exception
else:
return [translatedText, tokens]

View file

@ -34,6 +34,8 @@ Here are some vocabulary and terms so that you know the proper spelling and tran
魔法力 (M. Power)
命中率 (Accuracy)
%1 の%2を獲得 (Gained %1 %2!)
持っている数 (Owned)
ME 音量 (ME Volume)
# Other
ソル (Sol)