# Libraries
import os
import re
import textwrap
import threading
import time
import traceback
import tiktoken
import 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
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
PBAR = None
# Regex - Need to change this if you want to translate from/to other languages. Default is Japanese Regex
LANGREGEX = r"[一-龠ぁ-ゔァ-ヴーa-zA-Z0-9\uFF61-\uFF9F]+"
# 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 = 3.00
OUTPUTAPICOST = 5.00
BATCHSIZE = 10
FREQUENCY_PENALTY = 0.2
elif "gpt-4" in MODEL:
INPUTAPICOST = 2.50
OUTPUTAPICOST = 10.00
BATCHSIZE = 30
FREQUENCY_PENALTY = 0.05
elif "deepseek" in MODEL:
INPUTAPICOST = 0.14
OUTPUTAPICOST = 1.10
BATCHSIZE = 30
FREQUENCY_PENALTY = 0.05
else:
INPUTAPICOST = float(os.getenv("input_cost"))
OUTPUTAPICOST = float(os.getenv("output_cost"))
BATCHSIZE = int(os.getenv("batchsize"))
FREQUENCY_PENALTY = float(os.getenv("frequency_penalty"))
def handleEushully(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="utf-8", 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:
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] / 1000000) * INPUTAPICOST) + ((translatedData[1][1] / 1000000) * OUTPUTAPICOST))
+ "]"
)
timeString = Fore.BLUE + "[" + str(round(translationTime, 1)) + "s]"
if translatedData[2] == None:
# Success
return filename + ": " + totalTokenstring + timeString + Fore.GREEN + " \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 + " \u2717 " + errorString + Fore.RESET
def openFiles(filename):
with open("files/" + filename, "r", encoding="utf-8") as readFile:
translatedData = parseRegex(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 parseRegex(readFile, filename):
totalTokens = [0, 0]
# Read File into data
data = readFile.readlines()
# Create Progress Bar
with tqdm(bar_format=BAR_FORMAT, position=POSITION, leave=LEAVE) as pbar:
pbar.desc = filename
try:
result = translateEushully(data, pbar, filename, [])
totalTokens[0] += result[0]
totalTokens[1] += result[1]
except Exception as e:
traceback.print_exc()
return [data, totalTokens, e]
return [data, totalTokens, None]
def translateEushully(data, pbar, filename, translatedList):
stringList = []
currentGroup = []
tokens = [0, 0]
speaker = ""
voice = False
global LOCK, ESTIMATE, PBAR
i = 0
while i < len(data):
voice = False
# Speaker
if "mov (global-int 46e2)" in data[i]:
# Get Speaker
speaker = re.search(r"mov \(global-int 46e2\)\s(.+)", data[i]).group(1)
response = getSpeaker(speaker)
speaker = response[0]
tokens[0] += response[1][0]
tokens[1] += response[1][1]
i += 1
# Show Text
if any(x in data[i] for x in ["show-text"]):
# Lines
regex = r'(.*?)"(.*)"'
match = re.search(regex, data[i])
# Grab Strings
if match != None and match.group(2) != "":
originalString = match.group(2)
jaString = match.group(2)
currentGroup = [jaString]
while "end-text-line" in data[i + 1] and any(x in data[i + 2] for x in ["show-text"]):
match = re.search(regex, data[i + 2])
if match != None:
currentGroup.append(match.group(2))
if translatedList == []:
del data[i]
del data[i]
jaString = " ".join(currentGroup)
# Pass 1
if translatedList == []:
# Add String
if speaker:
stringList.append(f"[{speaker}]: {jaString.strip()}")
else:
stringList.append(jaString.strip())
# Pass 2
else:
# Get Text
if translatedList:
# Grab and Pop
translatedText = translatedList[0]
translatedList.pop(0)
# Set to None if empty list
if len(translatedList) <= 0:
translatedList = None
# Replace Quotes
translatedText = translatedText.replace('"', "'")
# Remove speaker
if speaker != "":
translatedText = re.sub(r"^\[?(.+?)\]?\s?[|:]\s?", "", translatedText)
# Textwrap
translatedText = textwrap.fill(translatedText, width=WIDTH)
translatedTextList = translatedText.split("\n")
# Set Data
if len(translatedTextList) > 1:
for j in range(len(translatedTextList)):
if any(x in data[i] for x in ["show-text", "set-string", "concat"]):
del data[i]
data.insert(i, f'{match.group(1)}"{translatedTextList[j]}"\n')
i += 1
if "end-text-line" not in data[i]:
data.insert(i, "end-text-line 0\n")
i += 1
else:
data[i] = f'{match.group(1)}"{translatedTextList[0]}"\n'
speaker = ""
i += 1
# Nothing relevant. Skip Line.
else:
i += 1
# Set String
elif "set-string" in data[i]:
# Lines
regex = r'(.*?)"(.*)"'
match = re.search(regex, data[i])
# Grab Strings
if match != None and match.group(2) != "":
originalString = match.group(2)
jaString = match.group(2)
currentGroup = [jaString]
# Remove Textwrap
jaString = jaString.replace("\\n", " ")
# Pass 1
if translatedList == []:
# Add String
stringList.append(jaString.strip())
# Pass 2
else:
# Get Text
if translatedList:
# Grab and Pop
translatedText = translatedList[0]
translatedList.pop(0)
# Set to None if empty list
if len(translatedList) <= 0:
translatedList = None
# Replace Quotes
translatedText = translatedText.replace('"', "'")
# Textwrap
translatedText = textwrap.fill(translatedText, width=LISTWIDTH)
translatedText = translatedText.replace("\n", "\\n")
# Set Data
data[i] = data[i].replace(originalString, translatedText)
speaker = ""
i += 1
# Nothing relevant. Skip Line.
else:
i += 1
else:
i += 1
# EOF
if len(stringList) > 0:
# Set Progress
pbar.total = len(stringList)
pbar.refresh()
# Translate
PBAR = pbar
response = translateGPT(stringList, "", True)
tokens[0] += response[1][0]
tokens[1] += response[1][1]
translatedList = response[0]
# Set Strings
if len(stringList) == len(translatedList):
translateEushully(data, pbar, filename, translatedList)
# Mismatch
else:
with LOCK:
if filename not in MISMATCH:
MISMATCH.append(filename)
return tokens
# Save some money and enter the character before translation
def getSpeaker(speaker):
match speaker:
case "1":
return ["Klaus", [0, 0]]
case "2":
return ["Helmina", [0, 0]]
case "3":
return ["Juliana", [0, 0]]
case "4":
return ["Reginia", [0, 0]]
case "5":
return ["Luciel", [0, 0]]
case "6":
return ["Mavislaine", [0, 0]]
case "7":
return ["Cerouge", [0, 0]]
case "8":
return ["Maize", [0, 0]]
case "9":
return ["Elvire", [0, 0]]
case "a":
return ["Beatrice", [0, 0]]
case "295":
return ["Orc", [0, 0]]
case "232":
return ["Archangel", [0, 0]]
case "238":
return ["False Juliana", [0, 0]]
case "239":
return ["False Regina", [0, 0]]
case "23a":
return ["False Luciel", [0, 0]]
case "23d":
return ["False Mavislaine", [0, 0]]
case "cb":
return ["Olga Niza Kite", [0, 0]]
case "c9":
return ["Demon Beast Lupus", [0, 0]]
case "ca":
return ["Evelinael", [0, 0]]
case "10":
return ["Eukleia", [0, 0]]
case "15":
return ["Lily", [0, 0]]
case "16":
return ["Kupuko", [0, 0]]
case "b":
return ["Ramiel", [0, 0]]
case "c":
return ["Henriette", [0, 0]]
case "d":
return ["Camilla", [0, 0]]
case "cc":
return ["Gogonaua", [0, 0]]
case "65":
return ["Demon Lord Reyvalois", [0, 0]]
case "d0":
return ["Demon Ranwald", [0, 0]]
case "205":
return ["Vanqueor", [0, 0]]
case "66":
return ["Angel Martina", [0, 0]]
case "21f":
return ["Hiten Demon", [0, 0]]
case "d2":
return ["Lena Eli", [0, 0]]
case _:
return ["Unknown", [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]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]", 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\
グレイス (Grace) - 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\
- 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 your response must be in {LANGUAGE} even if it is 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]`, `[FCode_1`], etc)\n\
- `...` can be a part of the dialogue. Translate it as it is.\n\
{VOCAB}\n\
"
)
user = f"{subbedT}"
return characters, system, user
def translateText(characters, system, user, history, penalty):
# 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,
frequency_penalty=penalty,
model=MODEL,
messages=msg,
)
return response
def cleanTranslatedText(translatedText, varResponse):
placeholders = {
f"{LANGUAGE} Translation: ": "",
"Translation: ": "",
"っ": "",
"〜": "~",
"ッ": "",
"。": ".",
"< ": "<",
" ": "",
" >": ">",
"「": '"',
"」": '"',
"Placeholder Text": "",
"- chan": "-chan",
"- kun": "-kun",
"- san": "-san",
# Add more replacements as needed
}
for target, replacement in placeholders.items():
translatedText = translatedText.replace(target, replacement)
# Elongate Long Dashes (Since GPT Ignores them...)
translatedText = elongateCharacters(translatedText)
translatedText = resubVars(translatedText, varResponse[1])
return translatedText
def elongateCharacters(text):
# Define a pattern to match one character followed by one or more `ー` characters
# Using a positive lookbehind assertion to capture the preceding character
pattern = r"(?<=(.))ー+"
# Define a replacement function that elongates the captured character
def repl(match):
char = match.group(1) # The character before the ー sequence
count = len(match.group(0)) - 1 # Number of ー characters
return char * count # Replace ー sequence with the character repeated
# Use re.sub() to replace the pattern in the text
return re.sub(pattern, repl, text)
def extractTranslation(translatedTextList, is_list):
pattern = r"`?<[Ll]ine\d+>([\\]*.*?[\\]*?)<\/?[Ll]ine\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("gpt-4")
# 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)) * 3)
return [inputTotalTokens, outputTotalTokens]
@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(text, history, fullPromptFlag):
global PBAR
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"`{item}`" for i, item in enumerate(tItem)])
payload = re.sub(r"(<)(\/Line\d+>)", r"\1>Placeholder Text<\3", payload)
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-zA-Z0-9]+", subbedT):
if PBAR is not None:
PBAR.update(len(tItem))
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, 0.02)
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, 0.2)
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
with LOCK:
if PBAR is not None:
PBAR.update(len(tItem))
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
# Combine if multilist
if isinstance(tList[0], list):
tList = [t for sublist in tList for t in sublist]
# Return
if format == "json":
return [tList, totalTokens]
else:
return [tList[0], totalTokens]