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')

INPUTAPICOST = .002 # Depends on the model https://openai.com/pricing
OUTPUTAPICOST = .002
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
THREADS = 10    # Controls how many threads are working on a single file (May have to drop this)
LOCK = threading.Lock()
WIDTH = 50
LISTWIDTH = 90
NOTEWIDTH = 50
MAXHISTORY = 10
ESTIMATE = ''
totalTokens = [0, 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
IGNORETLTEXT = False

def handleLune(filename, estimate):
    global ESTIMATE, totalTokens
    ESTIMATE = estimate

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

        # Print Result
        end = time.time()
        tqdm.write(getResultString(translatedData, end - start, filename))
        with LOCK:
            totalTokens[0] += translatedData[1][0]
            totalTokens[1] += translatedData[1][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:
                    totalTokens[0] += translatedData[1][0]
                    totalTokens[1] += translatedData[1][1]
        except Exception as e:
            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 '.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] * .001 * INPUTAPICOST) +\
        (translatedData[1][1] * .001 * OUTPUTAPICOST)) + ']'
    timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'

    if translatedData[2] == None:
        # Success
        return filename + ': ' + totalTokenstring + timeString + Fore.GREEN + u' \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 + u' \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:
            traceback.print_exc()
            return [data, totalTokens, e]
    return [data, totalTokens, None]

def translateJSON(data, pbar):
    textHistory = []
    maxHistory = MAXHISTORY
    tokens = [0, 0]
    speaker = 'None'

    for item in data:
        # Speaker
        if 'name' in item:
            if item['name'] not in [None, '-']:
                response = translateGPT(item['name'], 'Reply with only the english translation of the NPC name', False)
                speaker = response[0]
                tokens[0] += response[1][0]
                tokens[1] += response[1][1]
                item['name'] = speaker
            else:
                speaker = 'None'

        # Text
        if 'message' in item:
            if item['message'] != None:
                jaString = item['message']

                # Remove any textwrap
                if FIXTEXTWRAP == True:
                    jaString = jaString.replace('\n', ' ')

                # Translate
                if jaString != '':
                    response = translateGPT(f'{speaker} | {jaString}', textHistory, True)
                    tokens[0] += response[1][0]
                    tokens[1] += response[1][1]
                    translatedText = response[0]
                    textHistory.append('\"' + translatedText + '\"')  
                else:
                    translatedText = jaString
                    textHistory.append('\"' + translatedText + '\"')

                # Remove added speaker
                translatedText = re.sub(r'^.+?\s\|\s?', '', translatedText)

                # Textwrap
                translatedText = textwrap.fill(translatedText, width=WIDTH)

                # Set Data
                item['message'] = 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', ' ')

    # Icons
    count = 0
    iconList = re.findall(r'[\\]+[iIkKwW]+\[[0-9]+\]', jaString)
    iconList = set(iconList)
    if len(iconList) != 0:
        for icon in iconList:
            jaString = jaString.replace(icon, '[Ascii_' + str(count) + ']')
            count += 1

    # Colors
    count = 0
    colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
    colorList = set(colorList)
    if len(colorList) != 0:
        for color in colorList:
            jaString = jaString.replace(color, '[Color_' + str(count) + ']')
            count += 1

    # Names
    count = 0
    nameList = re.findall(r'[\\]+[nN]\[.+?\]+', jaString)
    nameList = set(nameList)
    if len(nameList) != 0:
        for name in nameList:
            jaString = jaString.replace(name, '[N_' + str(count) + ']')
            count += 1

    # Variables
    count = 0
    varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
    varList = set(varList)
    if len(varList) != 0:
        for var in varList:
            jaString = jaString.replace(var, '[Var_' + str(count) + ']')
            count += 1

    # Formatting
    count = 0
    if '笑えるよね.' in jaString:
        print('t')
    formatList = re.findall(r'[\\]+CL', jaString)
    formatList = set(formatList)
    if len(formatList) != 0:
        for var in formatList:
            jaString = jaString.replace(var, '[FCode_' + str(count) + ']')
            count += 1

    # Put all lists in list and return
    allList = [iconList, colorList, nameList, varList, formatList]
    return [jaString, allList]

def resubVars(translatedText, allList):
    # Fix Spacing and ChatGPT Nonsense
    matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
    if len(matchList) > 0:
        for match in matchList:
            text = match.strip()
            translatedText = translatedText.replace(match, text)

    # Icons
    count = 0
    if len(allList[0]) != 0:
        for var in allList[0]:
            translatedText = translatedText.replace('[Ascii_' + str(count) + ']', var)
            count += 1

    # Colors
    count = 0
    if len(allList[1]) != 0:
        for var in allList[1]:
            translatedText = translatedText.replace('[Color_' + str(count) + ']', var)
            count += 1

    # Names
    count = 0
    if len(allList[2]) != 0:
        for var in allList[2]:
            translatedText = translatedText.replace('[N_' + str(count) + ']', var)
            count += 1

    # Vars
    count = 0
    if len(allList[3]) != 0:
        for var in allList[3]:
            translatedText = translatedText.replace('[Var_' + str(count) + ']', var)
            count += 1
    
    # Formatting
    count = 0
    if len(allList[4]) != 0:
        for var in allList[4]:
            translatedText = translatedText.replace('[FCode_' + 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")
        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)
    
    # 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])

    # Characters
    context = '```\
        Game Characters:\
        Character: ソル == Sol - Gender: Female\
        Character: ェニ先生 == Eni-sensei - Gender: Female\
        Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
        Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
        ```'

    # Prompt
    if fullPromptFlag:
        system = PROMPT
        user = 'Line to Translate = ' + subbedT
    else:
        system = 'Output ONLY the english translation in the following format: `Translation: <ENGLISH_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=0.1,
        frequency_penalty=0.2,
        presence_penalty=0.2,
        model="gpt-3.5-turbo-1106",
        messages=msg,
        request_timeout=30,
    )

    # 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('English Translation: ', '')
    translatedText = translatedText.replace('Translation: ', '')
    translatedText = translatedText.replace('Line to Translate = ', '')
    translatedText = translatedText.replace('Translation = ', '')
    translatedText = translatedText.replace('Translate = ', '')
    translatedText = translatedText.replace('English Translation:', '')
    translatedText = translatedText.replace('Translation:', '')
    translatedText = translatedText.replace('Line to Translate =', '')
    translatedText = translatedText.replace('Translation =', '')
    translatedText = translatedText.replace('Translate =', '')
    translatedText = re.sub(r'Note:.*', '', translatedText)
    translatedText = translatedText.replace('っ', '')

    # 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]