600 lines
21 KiB
Python
600 lines
21 KiB
Python
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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from pathlib import Path
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import openai
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import tiktoken
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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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INPUTAPICOST = 0.002 # Depends on the model https://openai.com/pricing
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OUTPUTAPICOST = 0.002
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PROMPT = Path("prompt.txt").read_text(encoding="utf-8")
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THREADS = int(os.getenv("threads")) # Controls how many threads are working on a single file (May have to drop this)
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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 = 40
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MAXHISTORY = 10
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ESTIMATE = ""
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totalTokens = [0, 0]
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NAMESLIST = []
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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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# Flags
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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
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IGNORETLTEXT = False
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def handleSakuranbo(filename, estimate):
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global ESTIMATE
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totalTokens = [0, 0]
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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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if NAMES is True:
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tqdm.write(str(NAMESLIST))
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with LOCK:
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totalTokens[0] += translatedData[1][0]
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totalTokens[1] += translatedData[1][1]
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return getResultString(["", totalTokens, 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-16") as outFile:
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start = time.time()
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translatedData = openFiles(filename)
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outFile.writelines(translatedData[0])
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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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totalTokens[0] += translatedData[1][0]
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totalTokens[1] += translatedData[1][1]
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except Exception:
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traceback.print_exc()
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return "Fail"
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return getResultString(["", totalTokens, None], end - start, "TOTAL")
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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(((translatedData[1][0] / 1000000) * INPUTAPICOST) + ((translatedData[1][1] / 1000000) * OUTPUTAPICOST))
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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] is None:
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# Success
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return filename + ": " + totalTokenstring + timeString + Fore.GREEN + " \u2713 " + Fore.RESET
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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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errorString = str(e) + Fore.RED
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return filename + ": " + totalTokenstring + timeString + Fore.RED + " \u2717 " + errorString + Fore.RESET
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def openFiles(filename):
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with open("files/" + filename, "r", encoding="utf-16") as readFile:
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translatedData = parseTyrano(readFile, filename)
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# Delete lines marked for deletion
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finalData = []
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for line in translatedData[0]:
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if line != "\\d\n":
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finalData.append(line)
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translatedData[0] = finalData
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return translatedData
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def parseTyrano(readFile, filename):
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totalTokens = [0, 0]
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totalLines = 0
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# Get total for progress bar
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data = readFile.readlines()
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totalLines = len(data)
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with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) 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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response = translateTyrano(data, pbar)
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totalTokens[0] = response[0]
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totalTokens[1] = response[1]
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except Exception as e:
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traceback.print_exc()
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return [data, totalTokens, e]
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return [data, totalTokens, None]
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def translateTyrano(data, pbar):
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textHistory = []
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maxHistory = MAXHISTORY
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tokens = [0, 0]
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currentGroup = []
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syncIndex = 0
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speaker = ""
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delFlag = False
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global LOCK, ESTIMATE
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for i in range(len(data)):
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currentGroup = []
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matchList = []
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if syncIndex > i:
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i = syncIndex
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if "[▼]" in data[i]:
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data[i] = data[i].replace("[▼]".strip(), "[page]\n")
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# If there isn't any Japanese in the text just skip
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if IGNORETLTEXT is True:
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if not re.search(r"[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+", data[i]):
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# Keep textHistory list at length maxHistory
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textHistory.append('"' + data[i] + '"')
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if len(textHistory) > maxHistory:
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textHistory.pop(0)
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currentGroup = []
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continue
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# Speaker
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matchList = re.findall(r"^\[(.+)\sstorage=.+\]", data[i])
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if len(matchList) == 0:
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matchList = re.findall(r"^\[([^/].+)\]$", data[i])
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if len(matchList) > 0:
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if "主人公" in matchList[0]:
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speaker = "Protagonist"
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elif "思考" in matchList[0]:
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speaker = "Protagonist Inner Thoughts"
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elif "地の文" in matchList[0]:
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speaker = "Narrator"
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elif "マコ" in matchList[0]:
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speaker = "Mako"
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elif "少年" in matchList[0]:
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speaker = "Boy"
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elif "友達" in matchList[0]:
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speaker = "Friend"
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elif "少女" in matchList[0]:
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speaker = "Girl"
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else:
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response = translateGPT(
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matchList[0],
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"Reply with only the " + LANGUAGE + " translation of the NPC name",
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True,
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)
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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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# data[i] = '#' + speaker + '\n'
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# Choices
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elif "glink" in data[i]:
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matchList = re.findall(r"\[glink.+text=\"(.+?)\".+", data[i])
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if len(matchList) != 0:
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if len(textHistory) > 0:
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response = translateGPT(
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matchList[0],
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"Past Translated Text: " + textHistory[len(textHistory) - 1] + "\n\nReply in the style of a dialogue option.",
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True,
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)
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else:
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response = translateGPT(matchList[0], "", False)
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translatedText = response[0]
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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# Remove characters that may break scripts
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charList = [".", '"', "\\n"]
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for char in charList:
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translatedText = translatedText.replace(char, "")
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# Escape all '
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translatedText = translatedText.replace("\\", "")
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translatedText = translatedText.replace("'", "\\'")
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# Set Data
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translatedText = data[i].replace(matchList[0], translatedText.replace(" ", "\u00a0"))
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data[i] = translatedText
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# Grab Lines
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matchList = re.findall(r"^([^\n;@*\{\[].+[^;'{}\[]$)", data[i])
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if len(matchList) > 0 and (
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re.search(r"^\[(.+)\sstorage=.+\],", data[i - 1]) or re.search(r"^\[(.+)\]$", data[i - 1]) or re.search(r"^《(.+)》", data[i - 1])
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):
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currentGroup.append(matchList[0])
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if len(data) > i + 1:
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matchList = re.findall(r"^([^\n;@*\{\[].+[^;'{}\[]$)", data[i + 1])
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while len(matchList) > 0:
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delFlag = True
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data[i] = "\d\n" # \d Marks line for deletion
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i += 1
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matchList = re.findall(r"^([^\n;@*\{\[].+[^;'{}\[]$)", data[i])
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if len(matchList) > 0:
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currentGroup.append(matchList[0])
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# Join up 401 groups for better translation.
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if len(currentGroup) > 0:
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finalJAString = " ".join(currentGroup)
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# Remove any textwrap
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if FIXTEXTWRAP is True:
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finalJAString = finalJAString.replace("_", " ")
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# Check Speaker
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if speaker == "":
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response = translateGPT(finalJAString, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedText = response[0]
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textHistory.append('"' + translatedText + '"')
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else:
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response = translateGPT(speaker + ": " + finalJAString, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedText = response[0]
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textHistory.append('"' + translatedText + '"')
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# Remove added speaker
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translatedText = re.sub(r"^.+:\s?", "", translatedText)
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# Set Data
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translatedText = translatedText.replace("ッ", "")
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translatedText = translatedText.replace("っ", "")
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translatedText = translatedText.replace("ー", "")
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translatedText = translatedText.replace('"', "")
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translatedText = translatedText.replace("[", "")
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translatedText = translatedText.replace("]", "")
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# Wordwrap Text
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if "_" not in translatedText:
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace("\n", "_")
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# Set
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if delFlag is True:
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data.insert(i, translatedText.strip() + "\n")
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delFlag = False
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else:
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data[i] = translatedText.strip() + "\n"
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# Keep textHistory list at length maxHistory
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if len(textHistory) > maxHistory:
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textHistory.pop(0)
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currentGroup = []
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speaker = ""
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pbar.update(1)
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if len(data) > i + 1:
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syncIndex = i + 1
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else:
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break
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# Grab Lines
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matchList = re.findall(r"(^\[.+\sstorage=.+\](.+)\[/.+\])", data[i])
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if len(matchList) > 0:
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originalLine = matchList[0][0]
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originalText = matchList[0][1]
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currentGroup.append(matchList[0][1])
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if len(data) > i + 1:
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matchList = re.findall(r"^([^\n;@*\{\[].+[^;'{}\[]$)", data[i + 1])
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while len(matchList) > 0:
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delFlag = True
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data[i] = "\d\n" # \d Marks line for deletion
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i += 1
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matchList = re.findall(r"^([^\n;@*\{\[].+[^;'{}\[]$)", data[i])
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if len(matchList) > 0:
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currentGroup.append(matchList[0])
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# Join up 401 groups for better translation.
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if len(currentGroup) > 0:
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finalJAString = " ".join(currentGroup)
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# Remove any textwrap
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if FIXTEXTWRAP is True:
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finalJAString = finalJAString.replace("_", " ")
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# Check Speaker
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if speaker == "":
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response = translateGPT(finalJAString, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedText = response[0]
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textHistory.append('"' + translatedText + '"')
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else:
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response = translateGPT(speaker + ": " + finalJAString, textHistory, True)
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tokens[0] += response[1][0]
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tokens[1] += response[1][1]
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translatedText = response[0]
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textHistory.append('"' + translatedText + '"')
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# Remove added speaker
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translatedText = re.sub(r"^.+:\s?", "", translatedText)
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# Set Data
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translatedText = translatedText.replace("ッ", "")
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translatedText = translatedText.replace("っ", "")
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translatedText = translatedText.replace("ー", "")
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translatedText = translatedText.replace('"', "")
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translatedText = translatedText.replace("[", "")
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translatedText = translatedText.replace("]", "")
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# Wordwrap Text
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if "_" not in translatedText:
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace("\n", "_")
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translatedText = originalLine.replace(originalText, translatedText)
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# Set
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if delFlag is True:
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data.insert(i, translatedText.strip() + "\n")
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delFlag = False
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else:
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data[i] = translatedText.strip() + "\n"
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# Keep textHistory list at length maxHistory
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if len(textHistory) > maxHistory:
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textHistory.pop(0)
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currentGroup = []
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speaker = ""
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pbar.update(1)
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if len(data) > i + 1:
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syncIndex = i + 1
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else:
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break
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return tokens
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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, "{N_" + 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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if "笑えるよね." in jaString:
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print("t")
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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("{N_" + 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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# Remove Color Variables Spaces
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# if '\\c' in translatedText:
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# translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
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# translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
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return translatedText
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@retry(exceptions=Exception, tries=5, delay=5)
|
||
def translateGPT(t, history, fullPromptFlag):
|
||
# Sub Vars
|
||
varResponse = subVars(t)
|
||
subbedT = varResponse[0]
|
||
|
||
# If there isn't any Japanese in the text just skip
|
||
if not re.search(r"[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]", subbedT):
|
||
return (t, [0, 0])
|
||
|
||
# If ESTIMATE is True just count this as an execution and return.
|
||
if ESTIMATE:
|
||
enc = tiktoken.encoding_for_model("gpt-4")
|
||
historyRaw = ""
|
||
if isinstance(history, list):
|
||
for line in history:
|
||
historyRaw += line
|
||
else:
|
||
historyRaw = history
|
||
|
||
inputTotalTokens = len(enc.encode(historyRaw)) + len(enc.encode(PROMPT))
|
||
outputTotalTokens = len(enc.encode(t)) * 2 # Estimating 2x the size of the original text
|
||
totalTokens = [inputTotalTokens, outputTotalTokens]
|
||
return (t, totalTokens)
|
||
|
||
# Characters
|
||
context = "Game Characters:\
|
||
Character: マコ == Mako - Gender: Female\
|
||
Character: 主人公 == Protagonist - Gender: Male"
|
||
|
||
# Prompt
|
||
if fullPromptFlag:
|
||
system = PROMPT
|
||
user = "Line to Translate = " + subbedT
|
||
else:
|
||
system = "Output ONLY the " + LANGUAGE + " translation in the following format: `Translation: <" + LANGUAGE.upper() + "_TRANSLATION>`"
|
||
user = "Line to Translate = " + subbedT
|
||
|
||
# Create Message List
|
||
msg = []
|
||
msg.append({"role": "system", "content": system})
|
||
msg.append({"role": "user", "content": context})
|
||
if isinstance(history, list):
|
||
for line in history:
|
||
msg.append({"role": "user", "content": line})
|
||
else:
|
||
msg.append({"role": "user", "content": history})
|
||
msg.append({"role": "user", "content": user})
|
||
|
||
response = openai.ChatCompletion.create(
|
||
temperature=0,
|
||
frequency_penalty=0.2,
|
||
presence_penalty=0.2,
|
||
model=MODEL,
|
||
messages=msg,
|
||
request_timeout=TIMEOUT,
|
||
)
|
||
|
||
# Save Translated Text
|
||
translatedText = response.choices[0].message.content
|
||
totalTokens = [response.usage.prompt_tokens, response.usage.completion_tokens]
|
||
|
||
# Resub Vars
|
||
translatedText = resubVars(translatedText, varResponse[1])
|
||
|
||
# Remove Placeholder Text
|
||
translatedText = translatedText.replace(LANGUAGE + " Translation: ", "")
|
||
translatedText = translatedText.replace("Translation: ", "")
|
||
translatedText = translatedText.replace("Line to Translate = ", "")
|
||
translatedText = translatedText.replace("Translation = ", "")
|
||
translatedText = translatedText.replace("Translate = ", "")
|
||
translatedText = translatedText.replace(LANGUAGE + " Translation:", "")
|
||
translatedText = translatedText.replace("Translation:", "")
|
||
translatedText = translatedText.replace("Line to Translate =", "")
|
||
translatedText = translatedText.replace("Translation =", "")
|
||
translatedText = translatedText.replace("Translate =", "")
|
||
translatedText = translatedText.replace("っ", "")
|
||
translatedText = translatedText.replace("ッ", "")
|
||
translatedText = translatedText.replace("ぁ", "")
|
||
translatedText = translatedText.replace("。", ".")
|
||
translatedText = translatedText.replace("、", ",")
|
||
translatedText = translatedText.replace("？", "?")
|
||
translatedText = translatedText.replace("！", "!")
|
||
|
||
# Return Translation
|
||
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
|
||
raise Exception
|
||
else:
|
||
return [translatedText, totalTokens]
|