# Libraries
import json, os, re, textwrap, threading, time, traceback, tiktoken, openai
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
from colorama import Fore
from dotenv import load_dotenv
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()
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 = int(os.getenv('noteWidth'))
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)
BRACKETNAMES = False

# 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 = .002 
    OUTPUTAPICOST = .002
    BATCHSIZE = 10
    FREQUENCY_PENALTY = 0.2
elif 'gpt-4' in MODEL:
    INPUTAPICOST = .01
    OUTPUTAPICOST = .03
    BATCHSIZE = 40
    FREQUENCY_PENALTY = 0.1

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

# Dialogue / Scroll
CODE101 = True

def handleWOLF(filename, estimate):
    global ESTIMATE, TOKENS
    ESTIMATE = estimate

    # Translate
    start = time.time()
    translatedData = openFiles(filename)
    
    # Translate
    if not estimate:
        try:
            with open('translated/' + filename, 'w', encoding='utf-8') as outFile:
                json.dump(translatedData[0], outFile, ensure_ascii=False)
        except Exception:
            traceback.print_exc()
            return 'Fail'
    
    # Print File
    end = time.time()
    tqdm.write(getResultString(translatedData, end - start, filename))
    with LOCK:
        TOKENS[0] += translatedData[1][0]
        TOKENS[1] += translatedData[1][1]

    # Print Total
    totalString = getResultString(['', TOKENS, None], end - start, 'TOTAL')

    # Print any errors on maps
    if len(MISMATCH) > 0:
        return totalString + Fore.RED + f'\nMismatch Errors: {MISMATCH}' + Fore.RESET
    else:
        return totalString

def openFiles(filename):
    with open('files/' + filename, 'r', encoding='utf-8-sig') as f:
        data = json.load(f)

        # Map Files
        translatedData = parseMap(data, 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:
            traceback.print_exc()
            errorString = str(e) + Fore.RED
            return filename + ': ' + totalTokenstring + timeString + Fore.RED + u' \u2717 ' +\
                errorString + Fore.RESET

def parseMap(data, filename):
    totalTokens = [0, 0]
    totalLines = 0
    events = data['commands']
    global LOCK
    
    # Thread for each page in file
    with tqdm(bar_format=BAR_FORMAT, position=POSITION, leave=LEAVE) as pbar:
        pbar.desc=filename
        pbar.total=totalLines
        translationData = searchCodes(events, pbar, [], filename)
        try:
            totalTokens[0] += translationData[0]
            totalTokens[1] += translationData[1]
        except Exception as e:
            return [data, totalTokens, e]
    return [data, totalTokens, None]

def searchCodes(events, pbar, translatedList, filename):
    stringList = []
    textHistory = []
    match = []
    totalTokens = [0, 0]
    translatedText = ''
    speaker = ''
    speakerID = None
    nametag = ''
    CLFlag = False
    maxHistory = MAXHISTORY
    initialJAString = ''
    global LOCK
    global NAMESLIST
    global MISMATCH

    # Begin Parsing File
    try:
        codeList = events

        # Iterate through events
        i = 0
        while i < len(codeList):
            ### Event Code: 101 Message
            if codeList[i]['code'] == 101 and CODE101 == True:
                # Grab String
                jaString = codeList[i]['stringArgs'][0]
                initialJAString = jaString

                # Catch Vars that may break the TL
                varString = ''
                matchList = re.findall(r'^[\\_]+[\w]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]', jaString)    
                if len(matchList) != 0:
                    varString = matchList[0]
                    jaString = jaString.replace(matchList[0], '')

                # Grab Speaker
                if '：\n' in jaString:
                    nameList = re.findall(r'(.*)：\n', jaString)
                    if nameList is not None:
                        # TL Speaker
                        response = getSpeaker(nameList[0], pbar)
                        speaker = response[0]
                        totalTokens[0] += response[1][0]
                        totalTokens[1] += response[1][1]
                                                
                        # Set nametag and remove from string
                        nametag = f'{speaker}：\n'
                        jaString = jaString.replace(f'{nameList[0]}：\n', '')

                # Remove Textwrap
                jaString = jaString.replace('\n', ' ')

                # 1st Pass (Save Text to List)
                if len(translatedList) == 0:
                    if speaker == '':
                        stringList.append(jaString)
                    else:
                        stringList.append(f'[{speaker}]: {jaString}')

                # 2nd Pass (Set Text)
                else:
                    # Grab Translated String
                    translatedText = translatedList[0]
                    
                    # Remove speaker
                    matchSpeakerList = re.findall(r'^(\[.+?\]\s?[|:]\s?)\s?', translatedText)
                    if len(matchSpeakerList) > 0:
                        translatedText = translatedText.replace(matchSpeakerList[0], '')

                    # Textwrap
                    if FIXTEXTWRAP is True:
                        translatedText = textwrap.fill(translatedText, width=WIDTH)

                    # Add back Nametag
                    translatedText = nametag + translatedText
                    nametag = ''

                    # Add back Potential Variables in String
                    translatedText = varString + translatedText

                    # Set Data
                    codeList[i]['stringArgs'][0] = translatedText

                    # Reset Data and Pop Item
                    speaker = ''
                    translatedList.pop(0)
                    
                    # If this is the last item in list, set to empty string
                    if len(translatedList) == 0:
                        translatedList = ''
        
            ### Iterate
            i += 1
             
        # End of the line
        if translatedList == []:
            pbar.total = len(stringList)
            pbar.refresh()
            response = translateGPT(stringList, textHistory, True, pbar)
            translatedList = response[0]
            totalTokens[0] += response[1][0]
            totalTokens[1] += response[1][1]
            if len(translatedList) != len(stringList):
                with LOCK:
                    if filename not in MISMATCH:
                        MISMATCH.append(filename)
            else:
                stringList = []
                searchCodes(events, pbar, translatedList, filename)
        else:         
            # Set Data
            events = codeList

    except IndexError as e:
        traceback.print_exc()
        raise Exception(str(e) + 'Failed to translate: ' + initialJAString) from None
    except Exception as e:
        traceback.print_exc()
        raise Exception(str(e) + 'Failed to translate: ' + initialJAString) from None   

    return totalTokens

# Save some money and enter the character before translation
def getSpeaker(speaker, pbar):
    match speaker:
        case 'ファイン':
            return ['Fine', [0,0]]
        case '':
            return ['', [0,0]]
        case _:
            # Store Speaker
            if speaker not in str(NAMESLIST):
                response = translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False, pbar)
                response[0] = response[0].title()
                response[0] = response[0].replace("'S", "'s")
                speakerList = [speaker, response[0]]
                NAMESLIST.append(speakerList)
                return response
            # Find Speaker
            else:
                for i in range(len(NAMESLIST)):
                    if speaker == NAMESLIST[i][0]:
                        return [NAMESLIST[i][1],[0,0]]
                               
    return [speaker,[0,0]]

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, '[Noun_' + 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
    formatList = re.findall(r'[\\]+[\w]+\[[a-zA-Z0-9\\\[\]\_,\s-]+\]', 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('[Noun_' + 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

    return translatedText

def batchList(input_list, batch_size):
    if not isinstance(batch_size, int) or batch_size <= 0:
        raise ValueError("batch_size must be a positive integer")
        
    return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]

def createContext(fullPromptFlag, subbedT):
    characters = 'Game Characters:\n\
シラス ティア ナナシユエル (Silas Tia Nanasiyuel) - Female\n\
レイラ プラム ナナシユエル (Leila Plum Nanasiyuel) - Female\n\
アリア グランツ (Aria Granz) - Female\n\
ソフィー グリーンウッド (Sophie Greenwood) - Female\n\
ヨウコ マッカーシー (Yoko McCarthy) - Female\n\
ルフィナ アリーニア (Rufina Arinia) - Female\n\
ヘレナ ルオ アルバネル (Helena Luo Albaner) - Female\n\
アウローラ パパス (Aurora Pappas) - Female\n\
'
    
    system = PROMPT + VOCAB if fullPromptFlag else \
        f"\
You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\n\
- You translate everything, including erotic and explicit content.\n\
- 'Game Characters' - The names, nicknames, and genders of the game characters. Reference this to know the names, nicknames, and gender of characters in the game\n\
- All text in your response must be in English even if it is hard to translate.\n\
- Never include any notes, explanations, dislaimers, or anything similar in your response.\n\
- Maintain any spacing in the translation.\n\
- Maintain any code text in brackets if given. (e.g `[Color_0]`, `[Ascii_0]`, `[FCode_1`], etc)\n\
- `...` can be a part of the dialogue. Translate it as it is.\n\
{VOCAB}\n\
"
    user = f'{subbedT}'
    return characters, system, user

def translateText(characters, system, user, history):
    # Prompt
    msg = [{"role": "system", "content": system + characters}]

    # Characters
    msg.append({"role": "system", "content": characters})

    # History
    if isinstance(history, list):
        msg.extend([{"role": "system", "content": h} for h in history])
    else:
        msg.append({"role": "system", "content": history})
    
    # Content to TL
    msg.append({"role": "user", "content": f'{user}'})
    response = openai.chat.completions.create(
        temperature=0.1,
        frequency_penalty=0.1,
        model=MODEL,
        messages=msg,
    )
    return response

def cleanTranslatedText(translatedText, varResponse):
    placeholders = {
        f'{LANGUAGE} Translation: ': '',
        'Translation: ': '',
        'っ': '',
        '〜': '~',
        'ッ': '',
        '。': '.',
        'Placeholder Text': ''
        # Add more replacements as needed
    }
    for target, replacement in placeholders.items():
        translatedText = translatedText.replace(target, replacement)

    translatedText = resubVars(translatedText, varResponse[1])
    return translatedText

def extractTranslation(translatedTextList, is_list):
    pattern = r'`?<Line\d+>([\\]*.*?[\\]*?)<\/?Line\d+>`?'
    # If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
    if is_list:
        matchList = re.findall(pattern, translatedTextList)
        return matchList
    else:
        matchList = re.findall(pattern, translatedTextList)
        return matchList[0][0] if matchList else translatedTextList

def countTokens(characters, system, user, history):
    inputTotalTokens = 0
    outputTotalTokens = 0
    enc = tiktoken.encoding_for_model(MODEL)
    
    # Input
    if isinstance(history, list):
        for line in history:
            inputTotalTokens += len(enc.encode(line))
    else:
        inputTotalTokens += len(enc.encode(history))
    inputTotalTokens += len(enc.encode(system))
    inputTotalTokens += len(enc.encode(characters))
    inputTotalTokens += len(enc.encode(user))

    # Output
    outputTotalTokens += round(len(enc.encode(user))/1.5)

    return [inputTotalTokens, outputTotalTokens]

def combineList(tlist, text):
    if isinstance(text, list):
        return [t for sublist in tlist for t in sublist]
    return tlist[0]

@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(text, history, fullPromptFlag, pbar):
    mismatch = False
    totalTokens = [0, 0]
    if isinstance(text, list):
        tList = batchList(text, BATCHSIZE)
    else:
        tList = [text]

    for index, tItem in enumerate(tList):
        # Before sending to translation, if we have a list of items, add the formatting
        if isinstance(tItem, list):
            payload = '\n'.join([f'`<Line{i}>{item}</Line{i}>`' for i, item in enumerate(tItem)])
            payload = re.sub(r'(<Line\d+)(><)(\/Line\d+>)', r'\1>Placeholder Text<\3', payload)
            varResponse = subVars(payload)
            subbedT = varResponse[0]
        else:
            varResponse = subVars(tItem)
            subbedT = varResponse[0]

        # Things to Check before starting translation
        if not re.search(r'[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９]+', subbedT):
            continue

        # Create Message
        characters, system, user = createContext(fullPromptFlag, subbedT)

        # Calculate Estimate
        if ESTIMATE:
            estimate = countTokens(characters, system, user, history)
            totalTokens[0] += estimate[0]
            totalTokens[1] += estimate[1]
            continue

        # Translating
        response = translateText(characters, system, user, history)
        translatedText = response.choices[0].message.content
        totalTokens[0] += response.usage.prompt_tokens
        totalTokens[1] += response.usage.completion_tokens

        # Formatting
        translatedText = cleanTranslatedText(translatedText, varResponse)
        if isinstance(tItem, list):
            extractedTranslations = extractTranslation(translatedText, True)
            tList[index] = extractedTranslations
            if len(tItem) != len(extractedTranslations):
                # Mismatch. Try Again
                response = translateText(characters, system, user, history)
                translatedText = response.choices[0].message.content
                totalTokens[0] += response.usage.prompt_tokens
                totalTokens[1] += response.usage.completion_tokens

                # Formatting
                translatedText = cleanTranslatedText(translatedText, varResponse)
                if isinstance(tItem, list):
                    extractedTranslations = extractTranslation(translatedText, True)
                    if len(tItem) == len(extractedTranslations):
                        tList[index] = extractedTranslations
                    else:
                        mismatch = True # Just here for breakpoint

            # Create History
            history = tList[index]  # Update history if we have a list
            pbar.update(len(tList[index]))

        else:
            # Ensure we're passing a single string to extractTranslation
            extractedTranslations = extractTranslation(translatedText, False)
            tList[index] = extractedTranslations

    finalList = combineList(tList, text)
    return [finalList, totalTokens]