# Libraries 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 # 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 = 2.0 OUTPUTAPICOST = 8.00 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")) 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 = dazedwrap.wrapText(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 = dazedwrap.wrapText(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]