# 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 = False  # 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 = 0.01
    OUTPUTAPICOST = 0.03
    BATCHSIZE = 10


def handleKansen(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="shift_jis", 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="cp932") as readFile:
        translatedData = parseTyrano(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 parseTyrano(readFile, filename):
    totalTokens = [0, 0]
    totalLines = 0

    # Get total for progress bar
    data = readFile.readlines()
    totalLines = len(data)

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

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


def translateTyrano(data, pbar, totalLines):
    textHistory = []
    batch = []
    currentGroup = []
    maxHistory = MAXHISTORY
    tokens = [0, 0]
    speaker = ""
    insertBool = False
    global LOCK, ESTIMATE
    i = 0
    batchStartIndex = 0

    while i < len(data):
        # Speaker
        if "[ns]" in data[i]:
            matchList = re.findall(r"\[ns\](.+?)\[", data[i])
            if len(matchList) != 0:
                response = getSpeaker(matchList[0])
                speaker = response[0]
                tokens[0] += response[1][0]
                tokens[1] += response[1][1]
                data[i] = "[ns]" + speaker + "[nse]\n"
            else:
                speaker = ""

        # Choices
        elif "[sel" in data[i]:
            matchList = re.findall(r'\[sel.+text="(.+?)".+', data[i])
            if len(matchList) != 0:
                originalText = matchList[0]
                if len(textHistory) > 0:
                    response = translateGPT(
                        matchList[0],
                        "Keep your translation as brief as possible. Previous text for context: "
                        + textHistory[len(textHistory) - 1]
                        + "\n\nReply in the style of a dialogue option.",
                        False,
                    )
                else:
                    response = translateGPT(
                        matchList[0],
                        "\n\nReply in the style of a dialogue option.",
                        False,
                    )
                translatedText = response[0]
                tokens[0] += response[1][0]
                tokens[1] += response[1][1]

                # Remove characters that may break scripts
                charList = [".", '"', "\\n"]
                for char in charList:
                    translatedText = translatedText.replace(char, "")

                # Escape all '
                translatedText = translatedText.replace("\\", "")
                # translatedText = translatedText.replace("'", "\\\'")

                # Set Data
                translatedText = data[i].replace(originalText, translatedText)
                data[i] = translatedText

        # Lines
        matchList = re.findall(r"(.+?)\[[rpcms_sel]+\]$", data[i])
        if len(matchList) > 0:
            if "hisout" in matchList[0]:
                i += 1
                continue
            currentGroup.append(matchList[0])
            if len(data) > i + 1:
                while "[r]" in data[i + 1]:
                    if insertBool is True:
                        data[i] = r"\d\n"
                        pbar.update(1)
                    i += 1
                    matchList = re.findall(r"(.+?)\[r\]", data[i])
                    if len(matchList) > 0:
                        currentGroup.append(matchList[0])
                while "[pcms]" in data[i + 1]:
                    if insertBool is True:
                        data[i] = r"\d\n"
                        pbar.update(1)
                    i += 1
                    matchList = re.findall(r"(.+?)\[pcms\]", data[i])
                    if len(matchList) > 0:
                        currentGroup.append(matchList[0])
                while "[pcms_sel]" in data[i + 1]:
                    if insertBool is True:
                        data[i] = r"\d\n"
                        pbar.update(1)
                    i += 1
                    matchList = re.findall(r"(.+?)\[pcms_sel\]", data[i])
                    if len(matchList) > 0:
                        currentGroup.append(matchList[0])
            # Join up 401 groups for better translation.
            if len(currentGroup) > 0:
                finalJAString = " ".join(currentGroup)
                oldjaString = finalJAString

            # Remove any textwrap
            if FIXTEXTWRAP == True:
                finalJAString = finalJAString.replace("[r]", " ")

            # Remove Extra Stuff bad for translation.
            finalJAString = finalJAString.replace("ﾞ", "")
            finalJAString = finalJAString.replace("・", ".")
            finalJAString = finalJAString.replace("‶", "")
            finalJAString = finalJAString.replace("”", "")
            finalJAString = finalJAString.replace("―", "-")
            finalJAString = finalJAString.replace("…", "...")
            finalJAString = re.sub(r"(\.{3}\.+)", "...", finalJAString)
            finalJAString = finalJAString.replace("　", " ")

            # Furigana Removal
            matchList = re.findall(r"(\[ruby\stext=.+text=\"(.+)\"\])", finalJAString)
            if len(matchList) > 0:
                finalJAString = finalJAString.replace(matchList[0][0], matchList[0][1])

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

            # [Passthrough 1] Pulling From File
            if insertBool is False:
                # Append to List and Clear Values
                batch.append(finalJAString)
                speaker = ""

                # Translate Batch if Full
                if len(batch) == BATCHSIZE:
                    # Translate
                    response = translateGPT(batch, textHistory, True)
                    tokens[0] += response[1][0]
                    tokens[1] += response[1][1]
                    translatedBatch = response[0]
                    textHistory = translatedBatch[-10:]

                    # Set Values
                    if len(batch) == len(translatedBatch):
                        i = batchStartIndex
                        insertBool = True

                    # Mismatch
                    else:
                        pbar.write(f"Mismatch: {batchStartIndex} - {i}")
                        MISMATCH.append(batch)
                        batchStartIndex = i
                        batch.clear()

                i += 1
                if insertBool is True:
                    pbar.update(1)
                currentGroup = []

            # [Passthrough 2] Setting Data
            else:
                # Get Text
                translatedText = translatedBatch[0]
                translatedText = translatedText.replace('\\"', '"')
                translatedText = translatedText.replace("[", "(")
                translatedText = translatedText.replace("]", ")")

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

                # Textwrap
                translatedText = textwrap.fill(translatedText, width=WIDTH)
                textList = translatedText.split("\n")

                # Set Text
                data[i] = r"\d\n"
                for line in textList:
                    # Wordwrap Text
                    if "[r]" not in line:
                        line = textwrap.fill(line, width=WIDTH)
                        line = line.replace("\n", "[r]")

                    # Set
                    data.insert(i, line.strip() + "[r]\n")
                    i += 1
                data[i - 1] = data[i - 1].replace("[r]", "[pcms]")
                translatedBatch.pop(0)
                speaker = ""
                currentGroup = []

                # If Batch is empty. Move on.
                if len(translatedBatch) == 0:
                    insertBool = False
                    batchStartIndex = i
                    batch.clear()

        # Nothing relevant. Skip Line.
        else:
            i += 1
            if insertBool is True:
                pbar.update(1)

        # Translate Batch if not empty and EOF
        if len(batch) != 0 and i >= len(data):
            # Translate
            response = translateGPT(batch, textHistory, True)
            tokens[0] += response[1][0]
            tokens[1] += response[1][1]
            translatedBatch = response[0]
            textHistory = translatedBatch[-10:]

            # Set Values
            if len(batch) == len(translatedBatch):
                i = batchStartIndex
                insertBool = True

            # Mismatch
            else:
                pbar.write(f"Mismatch: {batchStartIndex} - {i}")
                MISMATCH.append(batch)
                batchStartIndex = i
                batch.clear()

            currentGroup = []
    return tokens


# Save some money and enter the character before translation
def getSpeaker(speaker):
    match speaker:
        case "央":
            return ["Akira", [0, 0]]
        case "累":
            return ["Rui", [0, 0]]
        case "梨里":
            return ["Riri", [0, 0]]
        case "純":
            return ["Jun", [0, 0]]
        case "美鈴":
            return ["Misuzu", [0, 0]]
        case "須田":
            return ["Suda", [0, 0]]
        case "高橋":
            return ["Takahashi", [0, 0]]
        case "勇二":
            return ["Yuuji", [0, 0]]
        case _:
            return translateGPT(
                speaker,
                "Reply with only the " + LANGUAGE + " translation of the NPC name.",
                False,
            )


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]+\[.+?\]", 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\
渋江 央 (Shibue Akira) - Male\n\
蘆名 累 (Ashina Rui) - Female\n\
清原 梨里 (Kiyohara Riri) - Female\n\
五十嵐 純 (Igarashi Jun) - Female\n\
子野日 美鈴 (Nenohi Misuzu) - Female\n\
須田 (Suda) - Male\n\
高橋 (Takahashi) - Female\n\
勇二 (Yuuji) - Male\n\
"

    system = (
        PROMPT + VOCAB
        if fullPromptFlag
        else f"\
You are an expert Eroge Game translator who translates Japanese text to {LANGUAGE}.\n\
You are going to be translating text from a videogame.\n\
I will give you lines of text, and you must translate each line to the best of your ability.\n\
{VOCAB}\n\
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\
"
    )
    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,
        presence_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 [line for line in translatedText.replace("\\n", "\n").split("\n") if line]


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:
        return [re.findall(pattern, line)[0][1] for line in translatedTextList if re.search(pattern, line)]
    else:
        matchList = re.findall(pattern, translatedTextList)
        return matchList[0][1] 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):
    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 = payload.replace("``", "`Placeholder Text`")
            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
        translatedTextList = cleanTranslatedText(translatedText, varResponse)
        if isinstance(tItem, list):
            extractedTranslations = extractTranslation(translatedTextList, True)
            tList[index] = extractedTranslations
            if len(tItem) != len(translatedTextList):
                mismatch = True  # Just here so breakpoint can be set
            history = extractedTranslations[-10:]  # Update history if we have a list
        else:
            # Ensure we're passing a single string to extractTranslation
            extractedTranslations = extractTranslation("\n".join(translatedTextList), 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]