# 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

# 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 = 0.002
    OUTPUTAPICOST = 0.002
    BATCHSIZE = 10
elif "gpt-4" in MODEL:
    INPUTAPICOST = 0.0025
    OUTPUTAPICOST = 0.01
    BATCHSIZE = 40
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 handleIris(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="cp932", 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] * 0.001 * INPUTAPICOST) + (translatedData[1][1] * 0.001 * 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="shift_jis") as readFile:
        translatedData = parseIris(readFile, filename)

        # Delete lines marked for deletion
        finalData = []
        for line in translatedData[0]:
            if line != "\\d\n":
                finalData.append(line)
        translatedData[0] = finalData

    return translatedData


def parseIris(readFile, filename):
    totalTokens = [0, 0]

    # Read File into data
    data = readFile.readlines()

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

        try:
            result = translateIris(data, pbar, filename, [])
            totalTokens[0] += result[0]
            totalTokens[1] += result[1]
        except Exception as e:
            traceback.print_exc()
            return [data, totalTokens, e]
    return [data, totalTokens, None]


def translateIris(data, pbar, filename, translatedList):
    stringList = []
    currentGroup = []
    tokens = [0, 0]
    speaker = ""
    voice = False
    global LOCK, ESTIMATE
    i = 0

    while i < len(data):
        voice = False
        speaker = ""
        if "#MSGVOICE" in data[i]:
            i += 1
            voice = True
            voiceVar = data[i]
        if "#MSG," in data[i] or "#MSG\n" in data[i] or voice == True:
            i += 1
            # Speaker
            if re.search(r'^　?([^#\/."、。*!！（）\(\)\[\]　\n]+)\n', data[i]) and len(data[i]) < 30:
                match = re.search(r"(.*)", data[i])
                if match != None:
                    speaker = match.group(1)
                    if speaker[0] == "\u3000":
                        speaker = speaker[1:]
                    response = getSpeaker(speaker, pbar, filename)
                    speaker = response[0]
                    tokens[0] += response[1][0]
                    tokens[1] += response[1][1]
                    if translatedList != []:
                        speaker = speaker.replace(" ", "\u3000")
                        data[i] = f"\u3000{speaker}\n"
                else:
                    speaker = ""
                i += 1

            # Lines
            match = re.search(r"(.*)", data[i])
            if match != None and match.group(1) != "":
                # Pass 1
                if translatedList == []:
                    # Grab Consecutive Strings
                    jaString = data[i]
                    if data[i] != "\n":
                        if data[i][0] == "\u3000":
                            jaString = data[i][1:]
                        currentGroup.append(jaString)
                        i += 1
                        while data[i] != "\n":
                            jaString = data[i]
                            if data[i] != "\n":
                                jaString = data[i][1:]
                            currentGroup.append(jaString)
                            i += 1

                        # Join up 401 groups for better translation.
                        if len(currentGroup) > 0:
                            jaString = "".join(currentGroup)
                            currentGroup = []

                        # Remove any textwrap
                        jaString = jaString.replace("\n", " ")

                        # Temporarily convert spaces (For Textwrap Later)
                        jaString = jaString.replace("\u3000", " ")

                        # Add Speaker (If there is one)
                        if speaker != "":
                            jaString = f"{speaker}: {jaString}"

                        # Add String
                        stringList.append(jaString.strip())

                # Pass 2
                else:
                    # Insert Strings
                    while data[i] != "\n":
                        data.pop(i)

                    # Get Text
                    if translatedList:
                        translatedText = translatedList[0]
                        translatedList.pop(0)
                        if len(translatedList) <= 0:
                            translatedList = None

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

                        # Textwrap
                        translatedText = textwrap.fill(translatedText, width=WIDTH)
                        translatedText = translatedText.replace("\n", "\n\u3000")

                        # Replace Whitespace and Commas
                        translatedText = translatedText.replace(", ", "、")
                        translatedText = translatedText.replace(",\u3000", "、")
                        translatedText = translatedText.replace(",", "、")
                        translatedText = translatedText.replace(" ", "\u3000")

                        # Set Data
                        # Game crashes on more than 3 lines. Will need to create a new MSG for long translations
                        if translatedText.count("\n") > 2:
                            # Split List
                            translatedTextList = splitNewlines(translatedText)

                            # MSG Voice
                            count = 0
                            for text in translatedTextList:
                                if count != 0:
                                    if voice == True:
                                        # MSG for each item in the list
                                        data.insert(i, "#MSGVOICE,\n")
                                        i += 1
                                        data.insert(i, f"{voiceVar}")
                                        i += 1
                                    else:
                                        data.insert(i, "#MSG,\n")
                                        i += 1
                                    if speaker:
                                        data[i] = f"\u3000{speaker}\n"
                                        i += 1
                                if text[0] == "\u3000":
                                    data.insert(i, f"{text}\n")
                                else:
                                    data.insert(i, f"\u3000{text}\n")
                                i += 1
                                count += 1
                            if data[i] != "\n":
                                data.insert(i, "\n")
                                data[i] = f"\n{data[i]}"
                        else:
                            data.insert(i, f"\u3000{translatedText}\n")
                            i += 1
                            if data[i] != "\n":
                                data[i] = f"\n{data[i]}"

        elif "#SELECT" in data[i] and translatedList == []:
            Iris = r"(.+?)	+\d$"
            i += 1
            match = re.search(Iris, data[i])
            if match:
                choiceList = []
                choiceList.append(match.group(1))
                i += 1
                match = re.search(Iris, data[i])
                while match:
                    choiceList.append(match.group(1))
                    i += 1
                    match = re.search(Iris, data[i])

                # Translate
                question = stringList[len(stringList) - 1]
                response = translateGPT(
                    choiceList,
                    f"Previous text for context: {question}\n\nThis will be a dialogue option",
                    True,
                    pbar,
                    filename,
                )
                tokens[0] += response[1][0]
                tokens[1] += response[1][1]
                choiceListTL = response[0]

                # Set Data
                i = i - len(choiceListTL)
                for j in range(len(choiceListTL)):
                    # Replace Whitespace and Commas
                    choiceListTL[j] = choiceListTL[j].replace(", ", "、")
                    choiceListTL[j] = choiceListTL[j].replace(",\u3000", "、")
                    choiceListTL[j] = choiceListTL[j].replace(",", "、")
                    choiceListTL[j] = choiceListTL[j].replace(" ", "\u3000")
                    data[i] = data[i].replace(choiceList[j], choiceListTL[j])
                    i += 1

            # Nothing relevant. Skip Line.
            else:
                i += 1
        else:
            i += 1

    # EOF
    if len(stringList) > 0:
        # Set Progress
        pbar.total = len(stringList)
        pbar.refresh()

        # Translate
        response = translateGPT(stringList, "", True, pbar, filename)
        tokens[0] += response[1][0]
        tokens[1] += response[1][1]
        translatedList = response[0]

        # Set Strings
        if len(stringList) == len(translatedList):
            translateIris(data, pbar, filename, translatedList)

        # Mismatch
        else:
            with LOCK:
                if filename not in MISMATCH:
                    MISMATCH.append(filename)
    return tokens


def splitNewlines(text):
    parts = []
    newline_count = 0  # Counts the number of newline characters encountered
    start_index = 0  # Start index of the current string part

    for i, char in enumerate(text):
        if char == "\n":
            newline_count += 1
            if newline_count == 3:
                # Append the string part from start_index to current index (inclusive)
                parts.append(text[start_index : i + 1])
                # Reset newline count and update start_index for the next string part
                newline_count = 0
                start_index = i + 1

    # Edge case: if the text does not end with a newline, we still need to append the last part
    if start_index < len(text):
        parts.append(text[start_index:])

    return parts


# Save some money and enter the character before translation
def getSpeaker(speaker, pbar, filename):
    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,
                    filename,
                )
                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\
フィリア (Philia) - Female\n\
アルネット (Annett) - Female\n\
ラピュセナ (Rapusena) - Female\n\
リッカ (Rikka) - Female\n\
アンデリビア (Andelivia) - Female\n\
リリアブルム (Liliabloom) - Female\n\
カルナ (Karna) - Female\n\
ラフィング＝スピア (Laughing Spear) - Female\n\
ノーラ (Nora) - 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)) * 2)

    return [inputTotalTokens, outputTotalTokens]


@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(text, history, fullPromptFlag, pbar, filename):
    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)
            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.append(filename)
            else:
                tList[index] = extractedTranslations

            # 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]