430 lines
14 KiB
Python
430 lines
14 KiB
Python
# Libraries
|
||
import json
|
||
import os
|
||
import re
|
||
import util.dazedwrap as dazedwrap
|
||
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
|
||
from util.translation import TranslationConfig, translateAI as sharedtranslateAI
|
||
|
||
# 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 = True # Overwrites textwrap
|
||
IGNORETLTEXT = False # Ignores all translated text.
|
||
MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
|
||
FILENAME = None
|
||
TIMETOTAL = 0 # Total Time Taken for all translations
|
||
TIMETOTAL = 0 # Total Time Taken for all translations
|
||
|
||
# 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-5" in MODEL:
|
||
INPUTAPICOST = 1.25
|
||
OUTPUTAPICOST = 10.00
|
||
BATCHSIZE = 30
|
||
FREQUENCY_PENALTY = 0.05
|
||
elif "deepseek" in MODEL:
|
||
INPUTAPICOST = 0.27
|
||
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"))
|
||
|
||
# Initialize Translation Config
|
||
TRANSLATION_CONFIG = TranslationConfig(
|
||
model=MODEL,
|
||
language=LANGUAGE,
|
||
prompt=PROMPT,
|
||
vocab=VOCAB,
|
||
langRegex=LANGREGEX,
|
||
batchSize=BATCHSIZE,
|
||
maxHistory=MAXHISTORY,
|
||
estimateMode=False # Will be set dynamically based on ESTIMATE
|
||
)
|
||
LEAVE = False
|
||
|
||
def handleRegex(filename, estimate):
|
||
global ESTIMATE, TOKENS, FILENAME
|
||
ESTIMATE = estimate
|
||
FILENAME = filename
|
||
|
||
# Translate
|
||
start = time.time()
|
||
translatedData = openFiles(filename)
|
||
|
||
# Translate
|
||
if not estimate:
|
||
try:
|
||
with open("translated/" + filename, "w", encoding="utf-8-sig") as outFile:
|
||
outFile.writelines(translatedData[0])
|
||
except Exception:
|
||
traceback.print_exc()
|
||
return "Fail"
|
||
|
||
# Print File
|
||
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
|
||
|
||
|
||
def getResultString(translatedData, translationTime, filename):
|
||
global TIMETOTAL
|
||
# 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))
|
||
+ "]"
|
||
)
|
||
if filename != "TOTAL":
|
||
timeString = Fore.BLUE + "[" + str(round(translationTime, 1)) + "s]"
|
||
TIMETOTAL += round(translationTime, 1)
|
||
else:
|
||
timeString = Fore.BLUE + "[" + str(round(TIMETOTAL, 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-sig") 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):
|
||
global PBAR
|
||
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
|
||
PBAR = pbar
|
||
|
||
try:
|
||
result = translateRegex(data, [])
|
||
totalTokens[0] += result[0]
|
||
totalTokens[1] += result[1]
|
||
except Exception as e:
|
||
traceback.print_exc()
|
||
return [data, totalTokens, e]
|
||
return [data, totalTokens, None]
|
||
|
||
|
||
def translateRegex(data, translatedList):
|
||
if translatedList:
|
||
stringList = translatedList[0]
|
||
choiceList = translatedList[1]
|
||
else:
|
||
stringList = []
|
||
choiceList = []
|
||
tokens = [0, 0]
|
||
speaker = ""
|
||
global LOCK, ESTIMATE, FILENAME, PBAR, MISMATCH
|
||
i = 0
|
||
|
||
while i < len(data):
|
||
voice = False
|
||
lineRegexText = r'"profile": "(.*)"'
|
||
lineRegexSpeaker = r"◆A.+?◆(.+)"
|
||
choiceRegex = r"\$menu_item.+?,(.*?),"
|
||
titleRegex = r"title\s'(.*)'$"
|
||
speaker = ""
|
||
|
||
# Title
|
||
match = re.search(titleRegex, data[i])
|
||
if match:
|
||
response = translateAI(
|
||
match.group(1),
|
||
f"Reply with the {LANGUAGE} translation of the chapter title",
|
||
True,
|
||
)
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
title = response[0]
|
||
|
||
# Set
|
||
if not translatedList:
|
||
title = re.sub(r"(?<!\\)'", r"\\'", title)
|
||
data[i] = data[i].replace(match.group(1), title)
|
||
|
||
# Speaker
|
||
match = re.search(lineRegexSpeaker, data[i])
|
||
if match:
|
||
if match.group(1):
|
||
if match.group(1) == "主人公":
|
||
speaker = "Protagonist"
|
||
else:
|
||
response = getSpeaker(match.group(1))
|
||
speaker = response[0]
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
if translatedList:
|
||
data[i] = data[i].replace(match.group(1), speaker)
|
||
i += 3
|
||
else:
|
||
speaker = None
|
||
elif data[i] == "Protagonist\n":
|
||
speaker = "Protagonist"
|
||
i += 1
|
||
|
||
# Dialogue
|
||
match = re.search(lineRegexText, data[i])
|
||
jaString = None
|
||
if match and match.group(0).replace("\u3000", "") != '\n':
|
||
# Set String
|
||
jaString = match.group(1)
|
||
|
||
# Save Original String
|
||
originalString = jaString
|
||
|
||
# Pass 1
|
||
if not translatedList:
|
||
# Strip Spaces
|
||
jaString = jaString.strip()
|
||
|
||
# Remove Textwrap
|
||
jaString = jaString.replace('\\n', ' ')
|
||
|
||
if jaString:
|
||
if speaker:
|
||
stringList.append(f"[{speaker}]: {jaString}")
|
||
else:
|
||
stringList.append(jaString)
|
||
|
||
# Pass 2
|
||
else:
|
||
# Get Text
|
||
if stringList:
|
||
# Grab and Pop
|
||
translatedText = stringList[0]
|
||
stringList.pop(0)
|
||
|
||
# Set to None if empty list
|
||
if len(stringList) <= 0:
|
||
stringList = None
|
||
|
||
# Remove speaker
|
||
translatedText = re.sub(r"^\[?(.+?)\]?\s?[|:]\s?", "", translatedText)
|
||
|
||
# Escape Quotes
|
||
translatedText = re.sub(r'(?<!\\)"', r"", translatedText)
|
||
|
||
# Remove characters that may break scripts
|
||
translatedText = translatedText.replace("<", "(")
|
||
translatedText = translatedText.replace(">", ")")
|
||
|
||
# Textwrap
|
||
translatedText = dazedwrap.wrapText(translatedText, width=WIDTH).replace("\n", "\\n")
|
||
|
||
# Set Data
|
||
if "「" in data[i-1] and "」" not in translatedText:
|
||
data[i] = data[i].replace(originalString, f"「{translatedText}」")
|
||
else:
|
||
data[i] = data[i].replace(originalString, f"{translatedText}")
|
||
|
||
# Choices
|
||
match = re.search(choiceRegex, data[i])
|
||
if match:
|
||
# Pass 1
|
||
if not translatedList:
|
||
choiceList.append(match.group(1))
|
||
|
||
# Pass 2
|
||
else:
|
||
# Grab and Pop
|
||
translatedText = choiceList[0]
|
||
choiceList.pop(0)
|
||
|
||
# Replace Spaces
|
||
translatedText = translatedText.replace("\u3000", " ")
|
||
|
||
# Escape Quotes
|
||
translatedText = re.sub(r'(?<!\\)"', r'\\"', translatedText)
|
||
translatedText = re.sub(r"(?<!\\)'", r"\\'", translatedText)
|
||
|
||
# Set
|
||
data[i] = data[i].replace(match.group(1), translatedText)
|
||
|
||
i += 1
|
||
else:
|
||
i += 1
|
||
|
||
# EOF
|
||
if not translatedList:
|
||
stringListTL = []
|
||
choiceListTL = []
|
||
|
||
# String List
|
||
if stringList:
|
||
PBAR.total = len(stringList)
|
||
PBAR.refresh()
|
||
response = translateAI(stringList, "Reply with the English Translation", True)
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
stringListTL = response[0]
|
||
|
||
if len(stringList) != len(stringListTL):
|
||
# Mismatch
|
||
with LOCK:
|
||
if FILENAME not in MISMATCH:
|
||
MISMATCH.append(FILENAME)
|
||
|
||
# Choice List
|
||
if choiceList:
|
||
response = translateAI(choiceList, "Reply with the English TL of the Dialogue Choice", True)
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
choiceListTL = response[0]
|
||
|
||
if len(choiceList) != len(choiceListTL):
|
||
# Mismatch
|
||
with LOCK:
|
||
if FILENAME not in MISMATCH:
|
||
MISMATCH.append(FILENAME)
|
||
|
||
# Set Strings
|
||
translateRegex(data, [stringListTL, choiceListTL])
|
||
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 _:
|
||
# Find Speaker
|
||
for i in range(len(NAMESLIST)):
|
||
if speaker == NAMESLIST[i][0]:
|
||
return [NAMESLIST[i][1], [0, 0]]
|
||
|
||
# Translate and Store Speaker
|
||
response = translateAI(
|
||
f"{speaker}",
|
||
"Reply with the " + LANGUAGE + " translation of the NPC name.",
|
||
False,
|
||
)
|
||
response[0] = response[0].title()
|
||
response[0] = response[0].replace("'S", "'s")
|
||
response[0] = response[0].replace("Speaker: ", "")
|
||
|
||
# Retry if name doesn't translate for some reason
|
||
if re.search(r"([a-zA-Z？?])", response[0]) == None:
|
||
response = translateAI(
|
||
f"{speaker}",
|
||
"Reply with the " + LANGUAGE + " translation of the NPC name.",
|
||
False,
|
||
)
|
||
response[0] = response[0].title()
|
||
response[0] = response[0].replace("'S", "'s")
|
||
|
||
speakerList = [speaker, response[0]]
|
||
NAMESLIST.append(speakerList)
|
||
return response
|
||
return [speaker, [0, 0]]
|
||
|
||
def translateAI(text, history, fullPromptFlag):
|
||
"""
|
||
Legacy wrapper function for the new shared translation utility.
|
||
This maintains compatibility with existing code while using the new shared implementation.
|
||
"""
|
||
global PBAR, MISMATCH, FILENAME
|
||
|
||
# Update config estimate mode based on global ESTIMATE
|
||
TRANSLATION_CONFIG.estimateMode = bool(ESTIMATE)
|
||
|
||
# Call the new shared translation function
|
||
return sharedtranslateAI(
|
||
text=text,
|
||
history=history,
|
||
fullPromptFlag=fullPromptFlag,
|
||
config=TRANSLATION_CONFIG,
|
||
filename=FILENAME,
|
||
pbar=PBAR,
|
||
lock=LOCK,
|
||
mismatchList=MISMATCH
|
||
)
|