# Libraries import json import os import re import util.dazedwrap as dazedwrap import threading import time import traceback import tiktoken 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, getPricingConfig, calculateCost from util.speaker_prefix import strip_speaker_prefix import tempfile # Globals MODEL = os.getenv("model") TIMEOUT = int(os.getenv("timeout")) LANGUAGE = os.getenv("language").capitalize() from util.paths import PROMPT_PATH, VOCAB_PATH PROMPT = PROMPT_PATH.read_text(encoding="utf-8") VOCAB = VOCAB_PATH.read_text(encoding="utf-8") 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) 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]+" # Get pricing configuration based on the model PRICING_CONFIG = getPricingConfig(MODEL) INPUTAPICOST = PRICING_CONFIG["inputAPICost"] OUTPUTAPICOST = PRICING_CONFIG["outputAPICost"] BATCHSIZE = PRICING_CONFIG["batchSize"] FREQUENCY_PENALTY = PRICING_CONFIG["frequencyPenalty"] # 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 cost = calculateCost(translatedData[1][0], translatedData[1][1], MODEL) totalTokenstring = ( Fore.YELLOW + "[Input: " + str(translatedData[1][0]) + "]" "[Output: " + str(translatedData[1][1]) + "]" "[Cost: ${:,.4f}".format(cost) + "]" ) 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, 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 save_progress_lines(lines, filename, encoding="utf-8-sig"): """Atomically save current line-based translation progress.""" try: if ESTIMATE: return os.makedirs("translated", exist_ok=True) tmp_fd, tmp_path = tempfile.mkstemp(prefix=f"{filename}.", suffix=".tmp", dir="translated") try: with os.fdopen(tmp_fd, "w", encoding=encoding, newline="\n", errors="ignore") as tmp_file: tmp_file.writelines(lines) os.replace(tmp_path, os.path.join("translated", filename)) finally: if os.path.exists(tmp_path): try: os.remove(tmp_path) except OSError: pass except Exception: traceback.print_exc() def translateRegex(data, filename, translatedList): if translatedList: stringList = translatedList[0] choiceList = translatedList[1] else: stringList = [] choiceList = [] tokens = [0, 0] speaker = "" global LOCK, ESTIMATE, FILENAME, PBAR, MISMATCH i = 0 # Define regex patterns outside loop dialogueRegex = r'\"text\":\s?\"(.+)\",' lineRegexSpeaker = r'"name":\s?"(.+)",' choiceRegex = r"\$menu_item.+?,(.*?)," titleRegex = r"title\s'(.*)'$" setgamedatatitleRegex = r'\\setgamedatatitle\("(.+?)"\)' selRegex = r'\\sel\((.+)\)' while i < len(data): # Setgamedatatitle match = re.search(setgamedatatitleRegex, data[i]) if match: # Pass 1 - Translate immediately (not batched) if not translatedList: response = translateAI( match.group(1).replace('\\n', '\n'), f"Reply with the {LANGUAGE} translation of the chapter title", True, ) tokens[0] += response[1][0] tokens[1] += response[1][1] title = response[0] # Convert newlines back to escape sequences and escape quotes title = title.replace('\n', '\\n').replace('"', '\\"') data[i] = data[i].replace(match.group(1), title) save_progress_lines(data, filename) # Title match = re.search(titleRegex, data[i]) if match: # Pass 1 - Translate immediately (not batched) if not translatedList: 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 title = re.sub(r"(?", ")") # Textwrap translatedText = dazedwrap.wrapText(translatedText, width=WIDTH) # Set Data while "\\endtext" not in data[i].strip(): del data[i] data.insert(i, f"{translatedText}\n") save_progress_lines(data, filename) # 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'(? 0: PBAR.total = totalItems PBAR.refresh() # String List if stringList: response = translateAI(stringList, "Reply with the English Translation") 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") 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, filename, [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, history_ctx=None): """ 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, config=TRANSLATION_CONFIG, filename=FILENAME, pbar=PBAR, lock=LOCK, mismatchList=MISMATCH )