# Libraries
import os
import re
import textwrap
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

# 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)

# 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 = 2.50
    OUTPUTAPICOST = 10.00
    BATCHSIZE = 30
    FREQUENCY_PENALTY = 0.05
elif "deepseek" in MODEL:
    INPUTAPICOST = 0.14
    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"))


def handleJavascript(filename, estimate):
    global ESTIMATE
    ESTIMATE = estimate

    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]

        # 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

    else:
        try:
            with open("translated/" + filename, "w", encoding="utf8", errors="ignore") as outFile:
                start = time.time()
                translatedData = openFiles(filename)

                # Print Result
                end = time.time()
                outFile.writelines(translatedData[0])
                tqdm.write(getResultString(translatedData, end - start, filename))
                with LOCK:
                    TOKENS[0] += translatedData[1][0]
                    TOKENS[1] += translatedData[1][1]
        except Exception:
            traceback.print_exc()
            return "Fail"

    return getResultString(["", TOKENS, None], end - start, "TOTAL")


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 openFiles(filename):
    with open("files/" + filename, "r", encoding="utf-8") as readFile:
        translatedData = parseJS(readFile, filename)

    return translatedData


def parseJS(readFile, filename):
    totalTokens = [0, 0]
    data = readFile.readlines()

    with tqdm(bar_format=BAR_FORMAT, position=POSITION, leave=LEAVE) as pbar:
        pbar.desc = filename

        try:
            result = translateJS(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 translateJS(data, pbar):
    tokens = [0, 0]
    i = 0

    # Regex & Plugin Name
    regex = r'ObjectiveContent[\\]+":[\\]+"[\\]+"(.*?)[\\]+"'

    # Find Plugin
    while i < len(data):
        # Run Search
        stringList = re.findall(regex, data[i])
        if len(stringList) != 0:
            pbar.total = len(stringList)
            pbar.refresh()
            modifiedStringList = stringList.copy()

            # Remove Wordwrap [Optional]
            for j in range(len(modifiedStringList)):
                modifiedStringList[j] = modifiedStringList[j].replace(r"\\\\\\\\n", r" ")

            # Translate
            response = translateGPT(modifiedStringList, f"Reply with the {LANGUAGE} translation", True, pbar)
            translatedList = response[0]
            tokens[0] = response[1][0]
            tokens[0] = response[1][1]

            # Validate Length & Replace Each Match
            if len(translatedList) == len(modifiedStringList):
                for j in range(len(translatedList)):
                    # Add escape for '
                    translatedList[j] = re.sub(r"[^\\](')", "\\'", translatedList[j])

                    # Wordwrap [Optional]
                    translatedList[j] = textwrap.fill(translatedList[j], LISTWIDTH)
                    translatedList[j] = translatedList[j].replace("\n", r"\\\\\\\\n")

                    # Set
                    data[i] = data[i].replace(stringList[j], translatedList[j])
            # Mismatch
            else:
                pbar.write("Mismatch Error")
        i += 1

    return tokens


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\
皆月 (Minazuki)\n\
さやか (Sayaka)\n\
皆月 さやか (Minazuki Sayaka) - Female\n\
広瀬 (Hirose)\n\
智恵 (Chie) - Female\n\
広瀬 智恵 (Hirose Chie) - 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 {LANGUAGE} 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)

    # Elongate Long Dashes (Since GPT Ignores them...)
    translatedText = elongateCharacters(translatedText)
    translatedText = resubVars(translatedText, varResponse[1])
    return translatedText


def elongateCharacters(text):
    # Define a pattern to match one character followed by one or more `ー` characters
    # Using a positive lookbehind assertion to capture the preceding character
    pattern = r"(?<=(.))ー+"

    # Define a replacement function that elongates the captured character
    def repl(match):
        char = match.group(1)  # The character before the ー sequence
        count = len(match.group(0)) - 1  # Number of ー characters
        return char * count  # Replace ー sequence with the character repeated

    # Use re.sub() to replace the pattern in the text
    return re.sub(pattern, repl, text)


def extractTranslation(translatedTextList, is_list):
    pattern = r"`?<[Ll]ine\d+>([\\]*.*?[\\]*?)<\/?[Ll]ine\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("gpt-4")

    # 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)) * 3)

    return [inputTotalTokens, outputTotalTokens]


@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

    # Combine if multilist
    if isinstance(tList[0], list):
        tList = [t for sublist in tList for t in sublist]

    # Return
    if format == "json":
        return [tList, totalTokens]
    else:
        return [tList[0], totalTokens]