374 lines
12 KiB
Python
374 lines
12 KiB
Python
# Libraries
|
||
import json
|
||
import os
|
||
import re
|
||
import util.dazedwrap as dazedwrap
|
||
import threading
|
||
import time
|
||
import traceback
|
||
import tiktoken
|
||
import openai
|
||
from pathlib import Path
|
||
from colorama import Fore
|
||
from dotenv import load_dotenv
|
||
from retry import retry
|
||
from tqdm import tqdm
|
||
from util.translation import TranslationConfig, translateAI as sharedtranslateAI
|
||
|
||
# Open AI
|
||
load_dotenv()
|
||
if os.getenv("api").replace(" ", "") != "":
|
||
openai.base_url = os.getenv("api")
|
||
openai.organization = os.getenv("org")
|
||
openai.api_key = os.getenv("key")
|
||
|
||
# Globals
|
||
MODEL = os.getenv("model")
|
||
TIMEOUT = int(os.getenv("timeout"))
|
||
LANGUAGE = os.getenv("language").capitalize()
|
||
PROMPT = Path("prompt.txt").read_text(encoding="utf-8")
|
||
VOCAB = Path("vocab.txt").read_text(encoding="utf-8")
|
||
THREADS = int(os.getenv("threads"))
|
||
LOCK = threading.Lock()
|
||
WIDTH = int(os.getenv("width"))
|
||
LISTWIDTH = int(os.getenv("listWidth"))
|
||
NOTEWIDTH = 70
|
||
MAXHISTORY = 10
|
||
ESTIMATE = ""
|
||
TOKENS = [0, 0]
|
||
NAMESLIST = []
|
||
NAMES = False # Output a list of all the character names found
|
||
BRFLAG = False # If the game uses <br> instead
|
||
FIXTEXTWRAP = True # Overwrites textwrap
|
||
IGNORETLTEXT = False # Ignores all translated text.
|
||
MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
|
||
PBAR = None
|
||
FILENAME = None
|
||
|
||
# tqdm Globals
|
||
BAR_FORMAT = "{l_bar}{bar:10}{r_bar}{bar:-10b}"
|
||
POSITION = 0
|
||
LEAVE = False
|
||
|
||
# Regex - Need to change this if you want to translate from/to other languages. Default is Japanese Regex
|
||
LANGREGEX = r"[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９\uFF61-\uFF9F]+"
|
||
|
||
# Pricing - Depends on the model https://openai.com/pricing
|
||
# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
|
||
# If you are getting a MISMATCH LENGTH error, lower the batch size.
|
||
if "gpt-3.5" in MODEL:
|
||
INPUTAPICOST = 3.00
|
||
OUTPUTAPICOST = 5.00
|
||
BATCHSIZE = 10
|
||
FREQUENCY_PENALTY = 0.2
|
||
elif "gpt-4" in MODEL:
|
||
INPUTAPICOST = 1.25
|
||
OUTPUTAPICOST = 10.00
|
||
BATCHSIZE = 30
|
||
FREQUENCY_PENALTY = 0.05
|
||
elif "deepseek" in MODEL:
|
||
INPUTAPICOST = 0.27
|
||
OUTPUTAPICOST = 1.10
|
||
BATCHSIZE = 30
|
||
FREQUENCY_PENALTY = 0.05
|
||
else:
|
||
INPUTAPICOST = float(os.getenv("input_cost"))
|
||
OUTPUTAPICOST = float(os.getenv("output_cost"))
|
||
BATCHSIZE = int(os.getenv("batchsize"))
|
||
FREQUENCY_PENALTY = float(os.getenv("frequency_penalty"))
|
||
|
||
# Initialize Translation Config
|
||
TRANSLATION_CONFIG = TranslationConfig(
|
||
model=MODEL,
|
||
language=LANGUAGE,
|
||
prompt=PROMPT,
|
||
vocab=VOCAB,
|
||
langRegex=LANGREGEX,
|
||
batchSize=BATCHSIZE,
|
||
maxHistory=MAXHISTORY,
|
||
estimateMode=False # Will be set dynamically based on ESTIMATE
|
||
)
|
||
LEAVE = False
|
||
|
||
def handleLune(filename, estimate):
|
||
global FILENAME, ESTIMATE, totalTokens
|
||
ESTIMATE = estimate
|
||
FILENAME = filename
|
||
|
||
if estimate:
|
||
start = time.time()
|
||
translatedData = openFiles(filename)
|
||
|
||
# Print Result
|
||
end = time.time()
|
||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||
with LOCK:
|
||
TOKENS[0] += translatedData[1][0]
|
||
TOKENS[1] += translatedData[1][1]
|
||
|
||
return getResultString(["", TOKENS, None], end - start, "TOTAL")
|
||
|
||
else:
|
||
try:
|
||
with open("translated/" + filename, "w", encoding="utf-8", newline="\n") as outFile:
|
||
start = time.time()
|
||
translatedData = openFiles(filename)
|
||
|
||
# Print Result
|
||
end = time.time()
|
||
json.dump(translatedData[0], outFile, ensure_ascii=False, indent=4)
|
||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||
with LOCK:
|
||
TOKENS[0] += translatedData[1][0]
|
||
TOKENS[1] += translatedData[1][1]
|
||
except Exception:
|
||
return "Fail"
|
||
|
||
return getResultString(["", TOKENS, None], end - start, "TOTAL")
|
||
|
||
|
||
def openFiles(filename):
|
||
with open("files/" + filename, "r", encoding="UTF-8-sig") as f:
|
||
data = json.load(f)
|
||
|
||
# Map Files
|
||
if ".json" in filename:
|
||
translatedData = parseJSON(data, filename)
|
||
|
||
else:
|
||
raise NameError(filename + " Not Supported")
|
||
|
||
return translatedData
|
||
|
||
|
||
def getResultString(translatedData, translationTime, filename):
|
||
# File Print String
|
||
totalTokenstring = (
|
||
Fore.YELLOW + "[Input: " + str(translatedData[1][0]) + "]"
|
||
"[Output: "
|
||
+ str(translatedData[1][1])
|
||
+ "]" "[Cost: ${:,.4f}".format(((translatedData[1][0] / 1000000) * INPUTAPICOST) + ((translatedData[1][1] / 1000000) * OUTPUTAPICOST))
|
||
+ "]"
|
||
)
|
||
timeString = Fore.BLUE + "[" + str(round(translationTime, 1)) + "s]"
|
||
|
||
if translatedData[2] == None:
|
||
# Success
|
||
return filename + ": " + totalTokenstring + timeString + Fore.GREEN + " \u2713 " + Fore.RESET
|
||
|
||
else:
|
||
# Fail
|
||
try:
|
||
raise translatedData[2]
|
||
except Exception as e:
|
||
traceback.print_exc()
|
||
errorString = str(e) + Fore.RED
|
||
return filename + ": " + totalTokenstring + timeString + Fore.RED + " \u2717 " + errorString + Fore.RESET
|
||
|
||
|
||
def parseJSON(data, filename):
|
||
totalTokens = [0, 0]
|
||
totalLines = 0
|
||
totalLines = len(data)
|
||
global LOCK
|
||
|
||
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
|
||
pbar.desc = filename
|
||
pbar.total = totalLines
|
||
try:
|
||
result = translateJSON(data, pbar)
|
||
totalTokens[0] += result[0]
|
||
totalTokens[1] += result[1]
|
||
except Exception as e:
|
||
return [data, totalTokens, e]
|
||
return [data, totalTokens, None]
|
||
|
||
|
||
def translateJSON(data, pbar):
|
||
global PBAR
|
||
PBAR = pbar
|
||
textHistory = []
|
||
batch = []
|
||
maxHistory = MAXHISTORY
|
||
tokens = [0, 0]
|
||
speaker = "None"
|
||
insertBool = False
|
||
i = 0
|
||
batchStartIndex = 0
|
||
|
||
while i < len(data):
|
||
item = data[i]
|
||
# Speaker
|
||
if "name" in item:
|
||
if item["name"] not in [None, "-"]:
|
||
response = getSpeaker(item["name"])
|
||
speaker = response[0]
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
item["name"] = speaker
|
||
else:
|
||
speaker = "None"
|
||
|
||
# Text
|
||
if "message" in item:
|
||
for text in [
|
||
"text",
|
||
"text2",
|
||
"help1",
|
||
"help2",
|
||
"help3",
|
||
"like",
|
||
"message",
|
||
"me",
|
||
]:
|
||
if text in item:
|
||
if item[text] != None:
|
||
jaString = item[text]
|
||
|
||
# Remove any textwrap
|
||
if FIXTEXTWRAP == True:
|
||
finalJAString = jaString.replace("\n", " ")
|
||
|
||
# [Passthrough 1] Pulling From File
|
||
if insertBool is False:
|
||
# Append to List and Clear Values
|
||
batch.append(finalJAString)
|
||
speaker = ""
|
||
|
||
# Translate Batch if Full
|
||
if len(batch) == BATCHSIZE:
|
||
# Translate
|
||
response = translateAI(batch, textHistory, True)
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
translatedBatch = response[0]
|
||
textHistory = translatedBatch[-10:]
|
||
|
||
# Set Values
|
||
if len(batch) == len(translatedBatch):
|
||
i = batchStartIndex
|
||
insertBool = True
|
||
|
||
# Mismatch
|
||
else:
|
||
pbar.write(f"Mismatch: {batchStartIndex} - {i}")
|
||
MISMATCH.append(batch)
|
||
batchStartIndex = i
|
||
batch.clear()
|
||
|
||
if insertBool is False:
|
||
pbar.update(1)
|
||
i += 1
|
||
|
||
currentGroup = []
|
||
|
||
# [Passthrough 2] Setting Data
|
||
else:
|
||
# Get Text
|
||
translatedText = translatedBatch[0]
|
||
|
||
# Remove added speaker
|
||
translatedText = re.sub(r"^.+?:\s", "", translatedText)
|
||
|
||
# Textwrap
|
||
translatedText = dazedwrap.wrapText(translatedText, width=WIDTH)
|
||
|
||
# Set Text
|
||
item[text] = translatedText
|
||
translatedBatch.pop(0)
|
||
speaker = ""
|
||
currentGroup = []
|
||
i += 1
|
||
|
||
# If Batch is empty. Move on.
|
||
if len(translatedBatch) == 0:
|
||
insertBool = False
|
||
batchStartIndex = i
|
||
batch.clear()
|
||
else:
|
||
i += 1
|
||
pbar.update(1)
|
||
|
||
# Translate Batch if not empty and EOF
|
||
if len(batch) != 0 and i >= len(data):
|
||
# Translate
|
||
response = translateAI(batch, textHistory, True)
|
||
tokens[0] += response[1][0]
|
||
tokens[1] += response[1][1]
|
||
translatedBatch = response[0]
|
||
textHistory = translatedBatch[-10:]
|
||
|
||
# Set Values
|
||
if len(batch) == len(translatedBatch):
|
||
i = batchStartIndex
|
||
insertBool = True
|
||
|
||
# Mismatch
|
||
else:
|
||
pbar.write(f"Mismatch: {batchStartIndex} - {i}")
|
||
MISMATCH.append(batch)
|
||
batchStartIndex = i
|
||
batch.clear()
|
||
|
||
currentGroup = []
|
||
return tokens
|
||
|
||
# Save some money and enter the character before translation
|
||
def getSpeaker(speaker):
|
||
match speaker:
|
||
case "ファイン":
|
||
return ["Fine", [0, 0]]
|
||
case "":
|
||
return ["", [0, 0]]
|
||
case _:
|
||
# Find Speaker
|
||
for i in range(len(NAMESLIST)):
|
||
if speaker == NAMESLIST[i][0]:
|
||
return [NAMESLIST[i][1], [0, 0]]
|
||
|
||
# Translate and Store Speaker
|
||
response = translateAI(
|
||
f"{speaker}",
|
||
"Reply with the " + LANGUAGE + " translation of the NPC name.",
|
||
False,
|
||
)
|
||
response[0] = response[0].title()
|
||
response[0] = response[0].replace("'S", "'s")
|
||
response[0] = response[0].replace("Speaker: ", "")
|
||
|
||
# Retry if name doesn't translate for some reason
|
||
if re.search(r"([a-zA-Z？?])", response[0]) == None:
|
||
response = translateAI(
|
||
f"{speaker}",
|
||
"Reply with the " + LANGUAGE + " translation of the NPC name.",
|
||
False,
|
||
)
|
||
response[0] = response[0].title()
|
||
response[0] = response[0].replace("'S", "'s")
|
||
|
||
speakerList = [speaker, response[0]]
|
||
NAMESLIST.append(speakerList)
|
||
return response
|
||
return [speaker, [0, 0]]
|
||
|
||
def translateAI(text, history, fullPromptFlag):
|
||
"""
|
||
Legacy wrapper function for the new shared translation utility.
|
||
This maintains compatibility with existing code while using the new shared implementation.
|
||
"""
|
||
global PBAR, MISMATCH, FILENAME
|
||
|
||
# Update config estimate mode based on global ESTIMATE
|
||
TRANSLATION_CONFIG.estimateMode = bool(ESTIMATE)
|
||
|
||
# Call the new shared translation function
|
||
return sharedtranslateAI(
|
||
text=text,
|
||
history=history,
|
||
fullPromptFlag=fullPromptFlag,
|
||
config=TRANSLATION_CONFIG,
|
||
filename=FILENAME,
|
||
pbar=PBAR,
|
||
lock=LOCK,
|
||
mismatchList=MISMATCH
|
||
)
|