import os
from pathlib import Path
import re
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

# Open AI
load_dotenv()
if os.getenv('api').replace(' ', '') != '':
    openai.api_base = 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()
INPUTAPICOST = .002 # Depends on the model https://openai.com/pricing
OUTPUTAPICOST = .002
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
THREADS = int(os.getenv('threads')) # Controls how many threads are working on a single file (May have to drop this)
LOCK = threading.Lock()
WIDTH = int(os.getenv('width'))
LISTWIDTH = int(os.getenv('listWidth'))
NOTEWIDTH = 40
MAXHISTORY = 10
ESTIMATE = ''
totalTokens = [0, 0]
NAMESLIST = []

#tqdm Globals
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
POSITION=0
LEAVE=False

# Translation Flags
FIXTEXTWRAP = True
IGNORETLTEXT = True

def handleAtelier(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)
                outFile.writelines(translatedData[0])

                # Print Result
                end = time.time()
                tqdm.write(getResultString(translatedData, end - start, filename))
                with LOCK:
                    totalTokens[0] += translatedData[1][0]
                    totalTokens[1] += translatedData[1][1]
        except Exception:
            return 'Fail'

    return getResultString(['', totalTokens, None], end - start, 'TOTAL')

def openFiles(filename):
    with open('files/' + filename, 'r', encoding='UTF-8') as f:
        translatedData = parseText(f, filename)
    
    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] is None:
        # Success
        return filename + ': ' + totalTokenstring + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET

    else:
        # Fail
        try:
            raise translatedData[2]
        except Exception as e:
            errorString = str(e) + Fore.RED
            return filename + ': ' + totalTokenstring + timeString + Fore.RED + u' \u2717 ' +\
                errorString + Fore.RESET
        
def parseText(data, filename):
    totalLines = 0
    global LOCK

    # Get total for progress bar
    linesList = data.readlines()
    totalLines = len(linesList)
    
    with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
        pbar.desc=filename
        pbar.total=totalLines
        try:
            response = translateText(linesList, pbar)
        except Exception as e:
            traceback.print_exc()
            return [linesList, 0, e]
    return [response[0], response[1], None]

def translateText(data, pbar):
    textHistory = []
    maxHistory = MAXHISTORY
    totalTokens = [0,0]
    syncIndex = 0

    for i in range(len(data)):
        if syncIndex > i:
            i = syncIndex

        match = re.findall(r'◆.+◆(.+)', data[i])
        if len(match) > 0:
            jaString = match[0]

            ### Translate
            # Remove any textwrap
            finalJAString = re.sub(r'\\n', ' ', jaString)
            
            # Translate
            response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
            totalTokens[0] += response[1][0]
            totalTokens[1] += response[1][1]
            translatedText = response[0]
            
            # TextHistory is what we use to give GPT Context, so thats appended here.
            textHistory.append('\"' + translatedText + '\"')

            # Keep textHistory list at length maxHistory
            if len(textHistory) > maxHistory:
                textHistory.pop(0)

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

            # Write
            data[i] = data[i].replace(match[0], translatedText)
                
        syncIndex = i + 1
        pbar.update()
    return [data, totalTokens]
        
def subVars(jaString):
    jaString = jaString.replace('\u3000', ' ')

    # Nested
    count = 0
    nestedList = re.findall(r'[\\]+[\w]+\[[\\]+[\w]+\[[0-9]+\]\]', jaString)
    nestedList = set(nestedList)
    if len(nestedList) != 0:
        for icon in nestedList:
            jaString = jaString.replace(icon, '{Nested_' + str(count) + '}')
            count += 1

    # Icons
    count = 0
    iconList = re.findall(r'[\\]+[iIkKwWaA]+\[[0-9]+\]', 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'[\\]+[\w]+\[.+?\]', 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 = [nestedList, 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)

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

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

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

    # Names
    count = 0
    if len(allList[3]) != 0:
        for var in allList[3]:
            translatedText = translatedText.replace('{N_' + str(count) + '}', var)
            count += 1

    # Vars
    count = 0
    if len(allList[4]) != 0:
        for var in allList[4]:
            translatedText = translatedText.replace('{Var_' + str(count) + '}', var)
            count += 1
    
    # Formatting
    count = 0
    if len(allList[5]) != 0:
        for var in allList[5]:
            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):
    # 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(MODEL)
        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: Surname:久高 Name:有史 == Surname:Kudaka Name:Yuushi - Gender: Male\
        Character: Surname:葛城 Name:碧璃 == Surname:Katsuragi Name:Midori - Gender: Female\
        Character: Surname:葛城 Name:依理子 == Surname:Katsuragi Name:Yoriko - Gender: Female\
        Character: Surname:桐乃木 Name:奏 == Surname:Kirinogi Name:Kanade - Gender: Female\
        Character: Surname:葛城 Name:光男 == Surname:Katsuragi Name:Mitsuo - Gender: Male\
        Character: Surname:尾木 Name:優真 == Surname:Ogi Name:Yuuma - 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]