DazedTL/modules/tyrano.py
2024-04-12 10:52:55 -07:00

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# Libraries
import json, 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.base_url = 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 = False # 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 handleTyrano(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='utf8', 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='utf8') as readFile:
translatedData = parseTyrano(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 parseTyrano(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 = translateTyrano(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 translateTyrano(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
if '#' in data[i]:
matchList = re.findall(r'^#(.*)', 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'
else:
speaker = ''
# Choices
elif '[sel' in data[i]:
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'(.+?)\[[rpc]+\]$', data[i])
if len(matchList) > 0:
if 'hisout' in matchList[0]:
i += 1
continue
currentGroup.append(matchList[0])
if len(data) > i+1:
while '[r]' in data[i+1]:
if insertBool is True:
data[i] = '\d\n'
pbar.update(1)
i += 1
matchList = re.findall(r'(.+?)\[r\]', data[i])
if len(matchList) > 0:
currentGroup.append(matchList[0])
while '[p]' in data[i+1]:
if insertBool is True:
data[i] = '\d\n'
pbar.update(1)
i += 1
# 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('[r]', ' ')
# 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'(\[ruby\stext=.+text=\"(.+)\"\])', 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
if '[r]' not in line:
line = textwrap.fill(line, width=WIDTH)
line = line.replace('\n', '[r]')
# Set
data.insert(i, line.strip() + '[r]\n')
i+=1
data[i-1] = data[i-1].replace('[r]', '[pcms]')
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 'ファイン':
return ['Fine', [0,0]]
case '':
return ['', [0,0]]
case _:
# Store Speaker
if speaker not in str(NAMESLIST):
response = translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False)
response[0] = response[0].title()
speakerList = [speaker, response[0]]
NAMESLIST.append(speakerList)
return response
# Find Speaker
else:
for i in range(len(NAMESLIST)):
if speaker == NAMESLIST[i][0]:
return [NAMESLIST[i][1],[0,0]]
return [speaker,[0,0]]
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]*\[[\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\
ファイン (Fine) - Female\n\
ウェンティ (Wendy) - Female\n\
クレア (Claire) - Female\n\
ミナ (Mina) - Female\n\
サーラ (Sarah) - Female\n\
ミリェル (Miriel) - Female\n\
カタリナ (Catalina) - Female\n\
リリィ (Lily) - Female\n\
ヴァネット (Vanette) - Female\n\
セラス (Ceras) - Female\n\
'
system = PROMPT + VOCAB if fullPromptFlag else \
f"\
You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\n\
- Maintain Japanese Honorifics. For example: 'サクラねえちゃん' == 'Sakura Onee-san'\n\
- You translate everything, including erotic and explicit content.\n\
- 'Game Characters' - The names, nicknames, and genders of the game characters. Reference this to know the names, nicknames, and gender of characters in the game\n\
- All text in the output must be in English even if it may be hard to translate.\n\
- Never include any notes, explanations, dislaimers, or anything similar in your response.\n\
- Maintain any spacing in the translation.\n\
- Maintain any code text in brackets if given. (e.g `[Color_0]`, `[Ascii_0]`, etc)\n\
- `...` can be a part of the dialogue. Translate it as it is.\n\
- Do not include a speaker if there isn't one in the original line of text.\n\
{VOCAB}\n\
"
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 translatedText
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:
matchList = re.findall(pattern, translatedTextList)
return matchList
else:
matchList = re.findall(pattern, translatedTextList)
return matchList[0][0] 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):
mismatch = False
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
translatedText = cleanTranslatedText(translatedText, varResponse)
if isinstance(tItem, list):
extractedTranslations = extractTranslation(translatedText, True)
tList[index] = extractedTranslations
if len(tItem) != len(extractedTranslations):
# Mismatch. Try Again
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
translatedText = cleanTranslatedText(translatedText, varResponse)
if isinstance(tItem, list):
extractedTranslations = extractTranslation(translatedText, True)
tList[index] = extractedTranslations
if len(tItem) != len(extractedTranslations):
mismatch = True # Just here for breakpoint
# Create History
if not mismatch:
history = extractedTranslations[-10:] # Update history if we have a list
else:
history = text[-10:]
else:
# Ensure we're passing a single string to extractTranslation
extractedTranslations = extractTranslation(translatedText, False)
tList[index] = extractedTranslations
finalList = combineList(tList, text)
return [finalList, totalTokens]