635 lines
20 KiB
Python
635 lines
20 KiB
Python
# Libraries
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import json
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import os
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import re
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import textwrap
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import threading
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import time
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import traceback
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import tiktoken
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import openai
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from pathlib import Path
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from colorama import Fore
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from dotenv import load_dotenv
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from retry import retry
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from tqdm import tqdm
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# Open AI
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load_dotenv()
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if os.getenv("api").replace(" ", "") != "":
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openai.base_url = os.getenv("api")
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openai.organization = os.getenv("org")
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openai.api_key = os.getenv("key")
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# Globals
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MODEL = os.getenv("model")
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TIMEOUT = int(os.getenv("timeout"))
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LANGUAGE = os.getenv("language").capitalize()
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PROMPT = Path("prompt.txt").read_text(encoding="utf-8")
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VOCAB = Path("vocab.txt").read_text(encoding="utf-8")
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THREADS = int(os.getenv("threads"))
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LOCK = threading.Lock()
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WIDTH = int(os.getenv("width"))
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LISTWIDTH = int(os.getenv("listWidth"))
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NOTEWIDTH = 70
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MAXHISTORY = 10
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ESTIMATE = ""
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TOKENS = [0, 0]
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NAMESLIST = []
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NAMES = False # Output a list of all the character names found
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BRFLAG = False # If the game uses <br> instead
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FIXTEXTWRAP = True # Overwrites textwrap
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IGNORETLTEXT = False # Ignores all translated text.
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MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
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# tqdm Globals
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BAR_FORMAT = "{l_bar}{bar:10}{r_bar}{bar:-10b}"
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POSITION = 0
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LEAVE = False
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# Pricing - Depends on the model https://openai.com/pricing
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# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
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# If you are getting a MISMATCH LENGTH error, lower the batch size.
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if "gpt-3.5" in MODEL:
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INPUTAPICOST = 0.002
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OUTPUTAPICOST = 0.002
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BATCHSIZE = 10
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elif "gpt-4" in MODEL:
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INPUTAPICOST = 0.01
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OUTPUTAPICOST = 0.03
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BATCHSIZE = 50
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def handleJSON(filename, estimate):
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global ESTIMATE, totalTokens
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ESTIMATE = estimate
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if estimate:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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tqdm.write(getResultString(translatedData, end - start, filename))
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with LOCK:
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TOKENS[0] += translatedData[1][0]
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TOKENS[1] += translatedData[1][1]
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return getResultString(["", TOKENS, None], end - start, "TOTAL")
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else:
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try:
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with open("translated/" + filename, "w", encoding="UTF-8") as outFile:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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json.dump(translatedData[0], outFile, ensure_ascii=False, indent=4)
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tqdm.write(getResultString(translatedData, end - start, filename))
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with LOCK:
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TOKENS[0] += translatedData[1][0]
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TOKENS[1] += translatedData[1][1]
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except Exception:
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return "Fail"
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return getResultString(["", TOKENS, None], end - start, "TOTAL")
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def openFiles(filename):
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with open("files/" + filename, "r", encoding="UTF-8-sig") as f:
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data = json.load(f)
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# Map Files
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if ".json" in filename:
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translatedData = parseJSON(data, filename)
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else:
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raise NameError(filename + " Not Supported")
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return translatedData
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def getResultString(translatedData, translationTime, filename):
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# File Print String
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totalTokenstring = (
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Fore.YELLOW + "[Input: " + str(translatedData[1][0]) + "]"
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"[Output: "
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+ str(translatedData[1][1])
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+ "]" "[Cost: ${:,.4f}".format(
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(translatedData[1][0] * 0.001 * INPUTAPICOST)
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+ (translatedData[1][1] * 0.001 * OUTPUTAPICOST)
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)
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+ "]"
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)
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timeString = Fore.BLUE + "[" + str(round(translationTime, 1)) + "s]"
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if translatedData[2] == None:
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# Success
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return (
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filename
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+ ": "
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+ totalTokenstring
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+ timeString
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+ Fore.GREEN
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+ " \u2713 "
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+ Fore.RESET
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)
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else:
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# Fail
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try:
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raise translatedData[2]
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except Exception as e:
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traceback.print_exc()
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errorString = str(e) + Fore.RED
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return (
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filename
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+ ": "
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+ totalTokenstring
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+ timeString
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+ Fore.RED
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+ " \u2717 "
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+ errorString
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+ Fore.RESET
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)
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def parseJSON(data, filename):
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totalTokens = [0, 0]
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totalLines = 0
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totalLines = len(data)
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global LOCK
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with tqdm(
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bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE
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) as pbar:
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pbar.desc = filename
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pbar.total = totalLines
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try:
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result = translateJSON(data, pbar)
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totalTokens[0] += result[0]
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totalTokens[1] += result[1]
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except Exception as e:
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def translateJSON(data, pbar):
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textHistory = []
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batch = []
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maxHistory = MAXHISTORY
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tokens = [0, 0]
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speaker = "None"
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insertBool = False
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i = 0
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batchStartIndex = 0
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while i < len(data):
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item = data[i]
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# Speaker
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if "name" in item:
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if item["name"] not in [None, "-"]:
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response = getSpeaker(item["name"])
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speaker = response[0]
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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item["name"] = speaker
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else:
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speaker = "None"
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pbar.update(1)
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i += 1
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# Text
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elif "me" in item:
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for text in [
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"text",
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"text2",
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"help1",
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"help2",
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"help3",
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"like",
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"message",
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"me",
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]:
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if text in item:
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if item[text] != None:
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jaString = item[text]
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# Remove any textwrap
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if FIXTEXTWRAP == True:
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finalJAString = jaString.replace("\n", " ")
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# [Passthrough 1] Pulling From File
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if insertBool is False:
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# Append to List and Clear Values
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batch.append(finalJAString)
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speaker = ""
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# Translate Batch if Full
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if len(batch) == BATCHSIZE:
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# Translate
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response = translateGPT(batch, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedBatch = response[0]
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textHistory = translatedBatch[-10:]
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# Set Values
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if len(batch) == len(translatedBatch):
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i = batchStartIndex
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insertBool = True
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# Mismatch
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else:
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pbar.write(f"Mismatch: {batchStartIndex} - {i}")
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MISMATCH.append(batch)
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batchStartIndex = i
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batch.clear()
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if insertBool is False:
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pbar.update(1)
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i += 1
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currentGroup = []
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# [Passthrough 2] Setting Data
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else:
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# Get Text
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translatedText = translatedBatch[0]
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# Remove added speaker
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translatedText = re.sub(r"^.+?:\s", "", translatedText)
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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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# Set Text
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item[text] = translatedText
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translatedBatch.pop(0)
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speaker = ""
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currentGroup = []
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i += 1
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# If Batch is empty. Move on.
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if len(translatedBatch) == 0:
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insertBool = False
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batchStartIndex = i
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batch.clear()
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else:
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i += 1
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pbar.update(1)
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# Translate Batch if not empty and EOF
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if len(batch) != 0 and i >= len(data):
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# Translate
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response = translateGPT(batch, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedBatch = response[0]
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textHistory = translatedBatch[-10:]
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# Set Values
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if len(batch) == len(translatedBatch):
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i = batchStartIndex
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insertBool = True
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# Mismatch
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else:
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pbar.write(f"Mismatch: {batchStartIndex} - {i}")
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MISMATCH.append(batch)
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batchStartIndex = i
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batch.clear()
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currentGroup = []
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return tokens
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# Save some money and enter the character before translation
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def getSpeaker(speaker):
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match speaker:
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case "セレナ":
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return ["Serena", [0, 0]]
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case "レナ":
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return ["Rena", [0, 0]]
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case "フィルス":
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return ["Phils", [0, 0]]
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case "レイン":
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return ["Meryl", [0, 0]]
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case _:
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return translateGPT(
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speaker,
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"Reply with only the " + LANGUAGE + " translation of the NPC name.",
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False,
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)
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def subVars(jaString):
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jaString = jaString.replace("\u3000", " ")
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# Nested
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count = 0
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nestedList = re.findall(r"[\\]+[\w]+\[[\\]+[\w]+\[[0-9]+\]\]", jaString)
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nestedList = set(nestedList)
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if len(nestedList) != 0:
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for icon in nestedList:
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jaString = jaString.replace(icon, "{Nested_" + str(count) + "}")
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count += 1
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# Icons
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count = 0
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iconList = re.findall(r"[\\]+[iIkKwWaA]+\[[0-9]+\]", jaString)
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iconList = set(iconList)
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if len(iconList) != 0:
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for icon in iconList:
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jaString = jaString.replace(icon, "{Ascii_" + str(count) + "}")
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count += 1
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# Colors
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count = 0
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colorList = re.findall(r"[\\]+[cC]\[[0-9]+\]", jaString)
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colorList = set(colorList)
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if len(colorList) != 0:
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for color in colorList:
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jaString = jaString.replace(color, "{Color_" + str(count) + "}")
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count += 1
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# Names
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count = 0
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nameList = re.findall(r"[\\]+[nN]\[.+?\]+", jaString)
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nameList = set(nameList)
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if len(nameList) != 0:
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for name in nameList:
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jaString = jaString.replace(name, "{Noun_" + str(count) + "}")
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count += 1
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# Variables
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count = 0
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varList = re.findall(r"[\\]+[vV]\[[0-9]+\]", jaString)
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varList = set(varList)
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if len(varList) != 0:
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for var in varList:
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jaString = jaString.replace(var, "{Var_" + str(count) + "}")
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count += 1
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# Formatting
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count = 0
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formatList = re.findall(r"[\\]+[\w]+\[.+?\]", jaString)
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formatList = set(formatList)
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if len(formatList) != 0:
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for var in formatList:
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jaString = jaString.replace(var, "{FCode_" + str(count) + "}")
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count += 1
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# Put all lists in list and return
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allList = [nestedList, iconList, colorList, nameList, varList, formatList]
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return [jaString, allList]
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def resubVars(translatedText, allList):
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# Fix Spacing and ChatGPT Nonsense
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matchList = re.findall(r"\[\s?.+?\s?\]", translatedText)
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if len(matchList) > 0:
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for match in matchList:
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text = match.strip()
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translatedText = translatedText.replace(match, text)
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# Nested
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count = 0
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if len(allList[0]) != 0:
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for var in allList[0]:
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translatedText = translatedText.replace("{Nested_" + str(count) + "}", var)
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count += 1
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# Icons
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count = 0
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if len(allList[1]) != 0:
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for var in allList[1]:
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translatedText = translatedText.replace("{Ascii_" + str(count) + "}", var)
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count += 1
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# Colors
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count = 0
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if len(allList[2]) != 0:
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for var in allList[2]:
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translatedText = translatedText.replace("{Color_" + str(count) + "}", var)
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count += 1
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# Names
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count = 0
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if len(allList[3]) != 0:
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for var in allList[3]:
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translatedText = translatedText.replace("{Noun_" + str(count) + "}", var)
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count += 1
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# Vars
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count = 0
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if len(allList[4]) != 0:
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for var in allList[4]:
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translatedText = translatedText.replace("{Var_" + str(count) + "}", var)
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count += 1
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# Formatting
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count = 0
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if len(allList[5]) != 0:
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for var in allList[5]:
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translatedText = translatedText.replace("{FCode_" + str(count) + "}", var)
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count += 1
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return translatedText
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def batchList(input_list, batch_size):
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if not isinstance(batch_size, int) or batch_size <= 0:
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raise ValueError("batch_size must be a positive integer")
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return [
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input_list[i : i + batch_size] for i in range(0, len(input_list), batch_size)
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]
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def createContext(fullPromptFlag, subbedT):
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characters = "Game Characters:\n\
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ルナリア (Lunaria) - Female\n\
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ソニア (Sonia) - Female\n\
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マナ (Mana) - Female\n\
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マリアナ (Mariana) - Female\n\
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ディアナ (Diana) - Female\n\
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シャーリー (Shirley) - Female\n\
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エスティア (Estia) - Female\n\
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エレノア (Eleanor) - Female\n\
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メリス (Meris) - Female\n\
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サルビア (Salvia) - Female\n\
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リリ (Lili) - Female\n\
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ツキハ (Tsukiha) - Female\n\
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フィリカ (Filica) - Female\n\
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レノ (Renno) - Female\n\
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"
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system = (
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PROMPT
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if fullPromptFlag
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else f"\
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You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
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You are going to be translating text from a videogame.\n\
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I will give you lines of text, and you must translate each line to the best of your ability.\n\
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- Translate 'マンコ' as 'pussy'\n\
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- Translate 'おまんこ' as 'pussy'\n\
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- Translate 'お尻' as 'butt'\n\
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- Translate '尻' as 'ass'\n\
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- Translate 'お股' as 'crotch'\n\
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- Translate '秘部' as 'genitals'\n\
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- Translate 'チンポ' as 'dick'\n\
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- Translate 'チンコ' as 'cock'\n\
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- Translate 'ショーツ' as 'panties\n\
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- Translate 'おねショタ' as 'Onee-shota'\n\
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- Translate 'よかった' as 'thank goodness'\n\
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Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\
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"
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)
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user = f"{subbedT}"
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return characters, system, user
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def translateText(characters, system, user, history):
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# Prompt
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msg = [{"role": "system", "content": system + characters}]
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# Characters
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msg.append({"role": "system", "content": characters})
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# History
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if isinstance(history, list):
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msg.extend([{"role": "assistant", "content": h} for h in history])
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else:
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msg.append({"role": "assistant", "content": history})
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# Content to TL
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msg.append({"role": "user", "content": f"{user}"})
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response = openai.chat.completions.create(
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temperature=0.1,
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frequency_penalty=0.1,
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presence_penalty=0.1,
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model=MODEL,
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messages=msg,
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)
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return response
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def cleanTranslatedText(translatedText, varResponse):
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placeholders = {
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f"{LANGUAGE} Translation: ": "",
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"Translation: ": "",
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"っ": "",
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"〜": "~",
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"ッ": "",
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"。": ".",
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"Placeholder Text": "",
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# Add more replacements as needed
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}
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for target, replacement in placeholders.items():
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translatedText = translatedText.replace(target, replacement)
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translatedText = resubVars(translatedText, varResponse[1])
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return [line for line in translatedText.split("\n") if line]
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def extractTranslation(translatedTextList, is_list):
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pattern = r"`?<Line(\d+)>([\\]*.*?[\\]*?)<\/?Line\d+>`?"
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# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
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if is_list:
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return [
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re.findall(pattern, line)[0][1]
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for line in translatedTextList
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if re.search(pattern, line)
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]
|
||
else:
|
||
matchList = re.findall(pattern, translatedTextList)
|
||
return matchList[0][1] 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]
|
||
|
||
|
||
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):
|
||
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-ｚＡ-Ｚ０-９]+", 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
|
||
translatedTextList = cleanTranslatedText(translatedText, varResponse)
|
||
if isinstance(tItem, list):
|
||
extractedTranslations = extractTranslation(translatedTextList, True)
|
||
tList[index] = extractedTranslations
|
||
if len(tItem) != len(translatedTextList):
|
||
mismatch = True # Just here so breakpoint can be set
|
||
history = extractedTranslations[-10:] # Update history if we have a list
|
||
else:
|
||
# Ensure we're passing a single string to extractTranslation
|
||
extractedTranslations = extractTranslation(
|
||
"\n".join(translatedTextList), False
|
||
)
|
||
tList[index] = extractedTranslations
|
||
|
||
finalList = combineList(tList, text)
|
||
return [finalList, totalTokens]
|