from concurrent.futures import ThreadPoolExecutor, as_completed
import json
import os
from pathlib import Path
import re
import sys
import textwrap
import threading
import time
import traceback
import tiktoken

from colorama import Fore
from dotenv import load_dotenv
import openai
from retry import retry
from tqdm import tqdm

#Globals
load_dotenv()
openai.organization = os.getenv('org')
openai.api_key = os.getenv('key')

APICOST = .002 # Depends on the model https://openai.com/pricing
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
THREADS = 10 # For GPT4 rate limit will be hit if you have more than 1 thread.
LOCK = threading.Lock()
WIDTH = 90
LISTWIDTH = 60
MAXHISTORY = 10
ESTIMATE = ''
TOTALCOST = 0
TOTALTOKENS = 0
NAMESLIST = []

#tqdm Globals
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
POSITION=0
LEAVE=False
BRFLAG = False   # If the game uses <br> instead
FIXTEXTWRAP = True

def handleJSON(filename, estimate):
    global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
    ESTIMATE = estimate

    if estimate:
        start = time.time()
        translatedData = openFiles(filename)

        # Print Result
        end = time.time()
        tqdm.write(getResultString(translatedData, end - start, filename))
        with LOCK:
            TOTALCOST += translatedData[1] * .001 * APICOST
            TOTALTOKENS += translatedData[1]

        return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
    
    else:
        try:
            with open('translated/' + filename, 'w', encoding='UTF-8') as outFile:
                start = time.time()
                translatedData = openFiles(filename)

                # Print Result
                end = time.time()
                json.dump(translatedData[0], outFile, ensure_ascii=False)
                tqdm.write(getResultString(translatedData, end - start, filename))
                with LOCK:
                    TOTALCOST += translatedData[1] * .001 * APICOST
                    TOTALTOKENS += translatedData[1]
        except Exception as e:
            traceback.print_exc()
            return 'Fail'

    return getResultString(['', TOTALTOKENS, 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 'script' in filename:
            translatedData = parseJSON(data, filename)

        else:
            raise NameError(filename + ' Not Supported')
    
    return translatedData

def getResultString(translatedData, translationTime, filename):
    # File Print String
    tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
        ' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
    timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'

    if translatedData[2] == None:
        # Success
        return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET

    else:
        # Fail
        try:
            raise translatedData[2]
        except Exception as e:
            errorString = str(e) + Fore.RED
            return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
                errorString + Fore.RESET
        
def parseJSON(data, filename):
    totalTokens = 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:
            totalTokens += translateJSON(data, pbar)
        except Exception as e:
            return [data, totalTokens, e]
    return [data, totalTokens, None]

def translateJSON(data, pbar):
    textHistory = []
    maxHistory = MAXHISTORY
    tokens = 0

    for key, value in data.items():
        # Remove any textwrap
        if FIXTEXTWRAP == True:
            value = re.sub(r'@b', ' ', value)

        # Translate
        if value == '':
            response = translateGPT(key, 'Past Translated Text: ' + '|\n\n'.join(textHistory), True)
            tokens += response[1]
            translatedText = response[0]
            textHistory.append('\"' + translatedText + '\"')  
        else:
            translatedText = value
            textHistory.append('\"' + translatedText + '\"')  

        # Textwrap
        translatedText = textwrap.fill(translatedText, width=WIDTH)
        translatedText = translatedText.replace('\n', '@b')

        # Set Data
        data[key] = translatedText

        # Keep textHistory list at length maxHistory
        if len(textHistory) > maxHistory:
            textHistory.pop(0)
        currentGroup = []  
        pbar.update(1)

    return tokens           

def subVars(jaString):
    jaString = jaString.replace('\u3000', ' ')
    varRegex = r'[\\]+[\w.\\\s]+?\[.+?\]]?|[\\]+[\w.\\]+?\<.+?\>\>?|[\\]+[#{}<>.]'
    count = 0

    varList = re.findall(varRegex, jaString)
    varList = set(varList)
    if len(varList) != 0:
        for var in varList:
            jaString = jaString.replace(var, '@' + str(count) + '')
            count += 1

    return [jaString, varList]

def resubVars(translatedText, varList):
    count = 0

    # Fix Spacing and ChatGPT Nonsense
    matchList = re.findall(r'@\s?[0-9]+?', translatedText)
    if len(matchList) > 0:
        for match in matchList:
            text = match.replace(' ', '')
            translatedText = translatedText.replace(match, text)
    
    if len(varList) != 0:
        for var in varList:
            translatedText = translatedText.replace('@' + str(count) + '', var)
            count += 1

    # Remove Color Variables Spaces
    # if '\\c' in translatedText:
    #     translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
    #     translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
    return translatedText

@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(t, history, fullPromptFlag):
    # If ESTIMATE is True just count this as an execution and return.
    if ESTIMATE:
        enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
        tokens = len(enc.encode(t)) * 2 + len(enc.encode(history)) + len(enc.encode(PROMPT))
        return (t, tokens)
    
    # 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-ヴー]+', subbedT):
        return(t, 0)

    """Translate text using GPT"""
    context = 'Eroge Names Context: Name: 稲盛 楓 == Inamori Kaede\nNicknames: かえちゃん == Kae-chan or かえねぇ == Kae-nee\nGender: Female,\nName: 稲盛 真守 == Inamori Mamoru\nNicknames: まーくん == Maa-kun\nGender: Male,\nName: 蓮見 雄次郎 == Hasumi Yujiro\nGender: Male,\nName: 桐谷 拓馬 == Kiriya Takuma\nNicknames: たっくん == Tak-kun\nGender: Male,\nName: 稲盛 美玖 == Inamori Yuki\nGender: Female,\nName: 奥さん == Missus\nGender: Female'
    if fullPromptFlag:
        system = PROMPT 
        user = 'Line to Translate: ' + subbedT
    else:
        system = 'You are an expert translator who translates everything to English. Reply with only the English Translation of the text.' 
        user = 'Line to Translate: ' + subbedT
    response = openai.ChatCompletion.create(
        temperature=0,
        frequency_penalty=0.2,
        presence_penalty=0.2,
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": system},
            {"role": "user", "content": context},
            {"role": "user", "content": history},
            {"role": "user", "content": user}
        ],
        request_timeout=30,
    )

    # Save Translated Text
    translatedText = response.choices[0].message.content
    tokens = response.usage.total_tokens

    # Resub Vars
    translatedText = resubVars(translatedText, varResponse[1])

    # Remove Placeholder Text
    translatedText = translatedText.replace('English Translation: ', '')
    translatedText = translatedText.replace('Translation: ', '')
    translatedText = translatedText.replace('Line to Translate: ', '')
    translatedText = translatedText.replace('English Translation:', '')
    translatedText = translatedText.replace('Translation:', '')
    translatedText = translatedText.replace('Line to Translate:', '')
    translatedText = re.sub(r'\n\nPast Translated Text:.*', '', translatedText, 0, re.DOTALL)
    translatedText = re.sub(r'Note:.*', '', translatedText)

    # Return Translation
    if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
        return [t, response.usage.total_tokens]
    else:
        return [translatedText, tokens]