552 lines
20 KiB
Python
552 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 util.dazedwrap as dazedwrap
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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 csv
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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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from util.translation import TranslationConfig, translateAI as sharedtranslateAI, getPricingConfig, calculateCost
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import tempfile
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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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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 = int(os.getenv("noteWidth"))
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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 = True # Ignores all translated text.
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MISMATCH = [] # Lists files that thdata a mismatch error (Length of GPT list response is wrong)
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FILENAME = None
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BRACKETNAMES = False
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# Regex - Need to change this if you want to translate from/to other languages. Default is Japanese Regex
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LANGREGEX = r"[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９\uFF61-\uFF9F]+"
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# Get pricing configuration based on the model
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PRICING_CONFIG = getPricingConfig(MODEL)
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INPUTAPICOST = PRICING_CONFIG["inputAPICost"]
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OUTPUTAPICOST = PRICING_CONFIG["outputAPICost"]
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BATCHSIZE = PRICING_CONFIG["batchSize"]
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FREQUENCY_PENALTY = PRICING_CONFIG["frequencyPenalty"]
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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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PBAR = None
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ENCODING = "utf8"
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# Initialize Translation Config
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TRANSLATION_CONFIG = TranslationConfig(
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model=MODEL,
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language=LANGUAGE,
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prompt=PROMPT,
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vocab=VOCAB,
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langRegex=LANGREGEX,
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batchSize=BATCHSIZE,
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maxHistory=MAXHISTORY,
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estimateMode=False # Will be set dynamically based on ESTIMATE
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)
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LEAVE = False
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def handleCSV(filename, estimate):
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global ESTIMATE, TOKENS, FILENAME
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ESTIMATE = estimate
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FILENAME = filename
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if not ESTIMATE:
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with open("translated/" + filename, "w+t", newline="", encoding=ENCODING, errors="xmlcharrefreplace") as writeFile:
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# Translate
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start = time.time()
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translatedData = openFiles(filename, writeFile)
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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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else:
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# Translate
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start = time.time()
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translatedData = openFilesEstimate(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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# Print Total
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totalString = getResultString(["", TOKENS, None], end - start, "TOTAL")
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# Print any errors on maps
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if len(MISMATCH) > 0:
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return totalString + Fore.RED + f"\nMismatch Errors: {MISMATCH}" + Fore.RESET
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else:
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return totalString
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def openFiles(filename, writeFile):
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with open("files/" + filename, "r", encoding=ENCODING) as readFile, writeFile:
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translatedData = parseCSV(readFile, writeFile, filename)
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return translatedData
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def openFilesEstimate(filename):
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with open("files/" + filename, "r", encoding="utf8") as readFile:
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translatedData = parseCSV(readFile, "", filename)
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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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cost = calculateCost(translatedData[1][0], translatedData[1][1], MODEL)
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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(cost)
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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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traceback.print_exc()
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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 parseCSV(readFile, writeFile, filename):
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totalTokens = [0, 0]
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totalLines = 0
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global LOCK
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# Read from tmp files
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if os.path.isfile("csv.tmp"):
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with open("csv.tmp") as tmpFile:
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format = tmpFile.readline()
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else:
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format = ""
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# Choices
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while format not in ["1", "2", "3", "4"]:
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format = input("\n\nSelect the CSV Format:\n\n1. Translator++\n2. Single\n3. Multiple\n4. Speaker&Text\n")
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match format:
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case "1":
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format = "1"
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case "2":
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format = "2"
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case "3":
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format = "3"
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case "4":
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format = "4"
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# Write to file for later use
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with open("csv.tmp", "w", encoding="utf-8") as tmpFile:
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tmpFile.write(f"{format}")
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# Get total for progress bar
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totalLines = len(readFile.readlines())
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readFile.seek(0)
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reader = csv.reader(readFile, delimiter=",")
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if not ESTIMATE:
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writer = csv.writer(
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writeFile,
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delimiter=",",
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)
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else:
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writer = ""
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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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# Grab All Rows
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data = []
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for row in reader:
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data.append(row)
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try:
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response = translateCSV(data, pbar, writeFile, writer, filename, None, format)
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totalTokens[0] = response[0]
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totalTokens[1] = response[1]
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except Exception:
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traceback.print_exc()
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return [data, totalTokens, None]
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def flush_progress_csv(writeFile, writer, rows):
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"""Flush current CSV progress to the already-open output file (Windows-safe)."""
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try:
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if ESTIMATE or writeFile is None:
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return
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with LOCK:
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writeFile.seek(0)
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# Recreate writer at current position to avoid state issues
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tmp_writer = csv.writer(writeFile, delimiter=",")
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tmp_writer.writerows(rows)
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writeFile.truncate()
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writeFile.flush()
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os.fsync(writeFile.fileno())
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except Exception:
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traceback.print_exc()
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def translateCSV(data, pbar, writeFile, writer, filename, translatedList, format):
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global LOCK, ESTIMATE, PBAR
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PBAR = pbar
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translatedText = ""
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totalTokens = [0, 0]
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i = 0
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stringList = []
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try:
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# Translate
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while i < len(data):
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match format:
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# T++ Format: Source Text on column 1. TL Target on Column 2
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case "1":
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# Get String
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if i != 0:
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if data[i][1] == "":
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jaString = data[i][0]
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else:
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jaString = data[i][1]
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# Remove Textwrap
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jaString = jaString.replace("\\n", " ")
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# Pass 1
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if not translatedList:
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stringList.append(jaString)
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# Pass 2
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else:
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# Grab and Pop
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translatedText = translatedList[0]
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translatedList.pop(0)
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# Add Wordwrap
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translatedText = dazedwrap.wrapText(translatedText, WIDTH)
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translatedText = translatedText.replace("\n", "\\n")
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# Set Data
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data[i][1] = translatedText
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flush_progress_csv(writeFile, writer, data)
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# Iterate
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i += 1
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# Target Format
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case "2":
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# Set Values
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sourceColumn = 0
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targetColumn = 1
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# Check if Translated
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jaString = data[i][sourceColumn]
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# Remove Textwrap
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jaString = jaString.replace("\\n", " ")
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# Pass 1
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if not translatedList:
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stringList.append(jaString)
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# Pass 2
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else:
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# Grab and Pop
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translatedText = translatedList[0]
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translatedList.pop(0)
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# Add Wordwrap
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translatedText = dazedwrap.wrapText(translatedText, WIDTH)
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translatedText = translatedText.replace("\n", "\\n")
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# Set Data
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data[i][targetColumn] = translatedText
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flush_progress_csv(writeFile, writer, data)
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# Iterate
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i += 1
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# In Place Format
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case "3":
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# Set columns to translate. Leave empty to translate all.
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targetColumns = [1]
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# False - Place translation in source column
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# True - Place translation in next column
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targetNextRow = False
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# Skip 1st Row
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skipFirstRow = True
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for j in range(len(data[i])):
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if skipFirstRow and i == 0:
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continue
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if j in targetColumns and data[i][j]:
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# Check if Translated
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jaString = data[i][j]
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speaker = ""
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vo = ""
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if ':name' in jaString:
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match = re.search(r":name\[([^\]]+?)\]\n([\w\W]*)", jaString)
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if match:
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# TL Speaker
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response = getSpeaker(match.group(1))
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speaker = response[0]
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totalTokens[0] += response[1][0]
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totalTokens[1] += response[1][1]
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data[i][j] = data[i][j].replace(match.group(1), speaker)
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# TL Text
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jaString = match.group(2)
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voMatch = re.search(r"\\[vfF]+\[.+]", jaString)
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if voMatch:
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vo = voMatch.group(0)
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jaString = jaString.replace(vo, "")
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jaString = jaString.replace(vo, "")
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elif '\\M' in jaString:
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match = re.search(r"\\M.+\n([\w\W]*)", jaString)
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if match:
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jaString = match.group(1)
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voMatch = re.search(r"\\[vfF]+\[.+]", jaString)
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if voMatch:
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vo = voMatch.group(0)
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jaString = jaString.replace(vo, "")
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elif 'comment' in data[i][0]:
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# Skip comments
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continue
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# Remove Textwrap
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ojaString = jaString
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jaString = jaString.replace("\n", " ")
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# Pass 1
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if not translatedList:
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if speaker:
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stringList.append(f"[{speaker}]: {jaString}")
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else:
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stringList.append(jaString)
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# Pass 2
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else:
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# Grab and Pop
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translatedText = translatedList[0]
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translatedList.pop(0)
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# Remove speaker
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if speaker:
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translatedText = re.sub(r"^\[?(.+?)\]?\s?[|:]\s?", "", translatedText)
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# Add Wordwrap
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translatedText = dazedwrap.wrapText(translatedText, WIDTH)
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# Set Data
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if targetNextRow:
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data[i][j + 1] = data[i][j + 1].replace(ojaString, f"{translatedText}")
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else:
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data[i][j] = data[i][j].replace(ojaString, f"{translatedText}")
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flush_progress_csv(writeFile, writer, data)
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# Iterate
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i += 1
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# Speaker & Text Format
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case "4":
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# Set columns to translate. Leave empty to translate all.
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speakerColumn = 2
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textColumn = 9
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speaker = ""
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if len(data[i]) > textColumn and data[i][textColumn]:
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# Speaker
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if data[i][speakerColumn]:
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speakerResponse = getSpeaker(data[i][speakerColumn])
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totalTokens[0] += speakerResponse[1][0]
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totalTokens[1] += speakerResponse[1][1]
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speaker = speakerResponse[0]
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data[i][speakerColumn] = speaker
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# Get Text
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jaString = data[i][textColumn]
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# Remove Textwrap
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jaString = jaString.replace("\\n", " ")
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# Remove Furigana
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jaString = re.sub(r"＜(.*)＝.*＞", r"\1", jaString)
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# Pass 1
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if not translatedList:
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# Append Speaker
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if speaker:
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jaString = f"[{speaker}]: {jaString}"
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# Append to List
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stringList.append(jaString)
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# Pass 2
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else:
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# Grab and Pop
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translatedText = translatedList[0]
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translatedList.pop(0)
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# Add Wordwrap
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translatedText = dazedwrap.wrapText(translatedText, WIDTH)
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translatedText = translatedText.replace("\n", "\\n")
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# Check for more than 3 newlines (Shoujo Ramune)
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newline_count = translatedText.count("\\n")
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if newline_count >= 3:
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parts = translatedText.split("\\n", 3)
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data[i][textColumn] = parts[0] + "\\n" + parts[1] + "\\n" + parts[2]
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new_row = data[i].copy()
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new_row[textColumn] = parts[3]
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new_row[0] = str(int(new_row[0]) + 1) # Add 1 to the line number
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data.insert(i + 1, new_row)
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i += 1
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else:
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data[i][textColumn] = translatedText
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flush_progress_csv(writeFile, writer, data)
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# Iterate
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i += 1
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# EOF
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if len(stringList) > 0:
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# Set Progress
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pbar.total = len(stringList)
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pbar.refresh()
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# Translate
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response = translateAI(stringList, "", True)
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totalTokens[0] += response[1][0]
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totalTokens[1] += response[1][1]
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translatedList = response[0]
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# Set Strings
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if len(stringList) == len(translatedList):
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translateCSV(data, pbar, writer, filename, translatedList, format)
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# Mismatch
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else:
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with LOCK:
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if filename not in MISMATCH:
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MISMATCH.append(filename)
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# Write all Data
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with LOCK:
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if not ESTIMATE:
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for row in data:
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writer.writerow(row)
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flush_progress_csv(writeFile, writer, data)
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except Exception:
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traceback.print_exc()
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# Write all Data
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with LOCK:
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if not ESTIMATE:
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for row in data:
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writer.writerow(row)
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flush_progress_csv(writeFile, writer, data)
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return totalTokens
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return totalTokens
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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 "ファイン":
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return ["Fine", [0, 0]]
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case "":
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return ["", [0, 0]]
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case _:
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# Find Speaker
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for i in range(len(NAMESLIST)):
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if speaker == NAMESLIST[i][0]:
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return [NAMESLIST[i][1], [0, 0]]
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if speaker == "？？？":
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return ["???", [0, 0]]
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# Translate and Store Speaker
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response = translateAI(
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f"{speaker}",
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"Reply with the " + LANGUAGE + " translation of the NPC name.",
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False,
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)
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response[0] = response[0].title()
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response[0] = response[0].replace("'S", "'s")
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response[0] = response[0].replace("Speaker: ", "")
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# Retry if name doesn't translate for some reason
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if re.search(r"([a-zA-Z？?])", response[0]) == None:
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response = translateAI(
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f"{speaker}",
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"Reply with the " + LANGUAGE + " translation of the NPC name.",
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False,
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)
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response[0] = response[0].title()
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response[0] = response[0].replace("'S", "'s")
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speakerList = [speaker, response[0]]
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NAMESLIST.append(speakerList)
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return response
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return [speaker, [0, 0]]
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def translateAI(text, history, fullPromptFlag):
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"""
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Legacy wrapper function for the new shared translation utility.
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This maintains compatibility with existing code while using the new shared implementation.
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"""
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global PBAR, MISMATCH, FILENAME
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# Update config estimate mode based on global ESTIMATE
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TRANSLATION_CONFIG.estimateMode = bool(ESTIMATE)
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# Call the new shared translation function
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return sharedtranslateAI(
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text=text,
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history=history,
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fullPromptFlag=fullPromptFlag,
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config=TRANSLATION_CONFIG,
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filename=FILENAME,
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pbar=PBAR,
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lock=LOCK,
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mismatchList=MISMATCH
|
||
)
|