# Libraries
import json
import os
import re
import util.dazedwrap as dazedwrap
import threading
import time
import traceback
import tiktoken
from pathlib import Path
from colorama import Fore
from dotenv import load_dotenv
from retry import retry
from tqdm import tqdm
from util.translation import TranslationConfig, translateAI as sharedtranslateAI, getPricingConfig, calculateCost
import tempfile

# OpenAI initialization centralized in util/translation.py

# 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")
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)
FILENAME = None

# tqdm Globals
BAR_FORMAT = "{l_bar}{bar:10}{r_bar}{bar:-10b}"
POSITION = 0
LEAVE = False
PBAR = None

# 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]+"

# Get pricing configuration based on the model
PRICING_CONFIG = getPricingConfig(MODEL)
INPUTAPICOST = PRICING_CONFIG["inputAPICost"]
OUTPUTAPICOST = PRICING_CONFIG["outputAPICost"]
BATCHSIZE = PRICING_CONFIG["batchSize"]
FREQUENCY_PENALTY = PRICING_CONFIG["frequencyPenalty"]

# Initialize Translation Config
TRANSLATION_CONFIG = TranslationConfig(
    model=MODEL,
    language=LANGUAGE,
    prompt=PROMPT,
    vocab=VOCAB,
    langRegex=LANGREGEX,
    batchSize=BATCHSIZE,
    maxHistory=MAXHISTORY,
    estimateMode=False  # Will be set dynamically based on ESTIMATE
)
LEAVE = False

def handleTyrano(filename, estimate):
    global ESTIMATE, TOKENS, FILENAME
    ESTIMATE = estimate
    FILENAME = filename

    # Translate
    start = time.time()
    translatedData = openFiles(filename)

    # Translate
    if not estimate:
        try:
            with open("translated/" + filename, "w", encoding="utf-8", newline="\n") as outFile:
                outFile.writelines(translatedData[0])
        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 getResultString(translatedData, translationTime, filename):
    # File Print String
    cost = calculateCost(translatedData[1][0], translatedData[1][1], MODEL)
    totalTokenstring = (
        Fore.YELLOW + "[Input: " + str(translatedData[1][0]) + "]"
        "[Output: "
        + str(translatedData[1][1])
        + "]" "[Cost: ${:,.4f}".format(cost)
        + "]"
    )
    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="utf8") 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):
    global PBAR
    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
        PBAR = pbar

        try:
            result = translateTyrano(data, 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 save_progress_lines(lines, filename, encoding="utf-8"):
    """Atomically save current line-based translation progress."""
    try:
        if ESTIMATE:
            return
        os.makedirs("translated", exist_ok=True)
        tmp_fd, tmp_path = tempfile.mkstemp(prefix=f"{filename}.", suffix=".tmp", dir="translated")
        try:
            with os.fdopen(tmp_fd, "w", encoding=encoding, newline="\n", errors="ignore") as tmp_file:
                tmp_file.writelines(lines)
            os.replace(tmp_path, os.path.join("translated", filename))
        finally:
            if os.path.exists(tmp_path):
                try:
                    os.remove(tmp_path)
                except OSError:
                    pass
    except Exception:
        traceback.print_exc()


def saveCheckLines(lines, filename, tokens=None, encoding="utf-8"):
    """Save progress only when tokens indicate work or when tokens is None but we know a mutation occurred."""
    try:
        # If explicit tokens provided, gate on tokens; otherwise assume we were called on actual mutation
        if tokens is not None:
            if not (isinstance(tokens, (list, tuple)) and len(tokens) >= 2 and (tokens[0] or tokens[1])):
                return
        save_progress_lines(lines, filename, encoding=encoding)
    except Exception:
        traceback.print_exc()


def translateTyrano(data, filename, translatedList):
    if translatedList:
        stringList = translatedList[0]
        choiceList = translatedList[1]
    else:
        stringList = []
        choiceList = []
    tokens = [0, 0]
    speaker = ""
    global LOCK, ESTIMATE, FILENAME, PBAR, MISMATCH
    i = 0

    while i < len(data):
        voice = False
        lineRegexNoSpeaker = r"^([^\[#;*@\n]+)\[l\]\[[rp]\]|^([^\[#;*@\n]+)\[[rpl]\]|^([^\[#;*@_\n]+)\n$"
        lineRegexSpeaker = r"^#(.*)"
        furiganaRegex = r"(\[ruby\stext=(.*?)\])"
        choiceRegex = r'\[glink.+?text="(.*?)"'

        # Speaker
        match = re.search(lineRegexSpeaker, data[i])
        if match:
            if match.group(1):
                response = getSpeaker(match.group(1))
                speaker = response[0]
                tokens[0] += response[1][0]
                tokens[1] += response[1][1]
                data[i] = data[i].replace(match.group(1), speaker)
            else:
                speaker = None

        # Furigana
        match = re.search(r"^\[ruby\stext", data[i])
        furiganaList = []
        if match:
            # Check next line and combine
            while match:
                furiganaList.append(data[i].replace("\n", ""))
                del data[i]
                match = re.search(r"^\[ruby\stext", data[i])
            jaString = "".join(furiganaList)

            # Ruby Text
            furiganaList = re.findall(furiganaRegex, jaString)
            for furigana in furiganaList:
                jaString = jaString.replace(furigana[0], furigana[1])

            data.insert(i, f"{jaString}[r]")

        # Dialogue
        match = re.search(lineRegexNoSpeaker, data[i])
        jaString = None
        if match:
            jaString = match.group(1)
            if not jaString:
                jaString = match.group(2)
            if not jaString:
                jaString = match.group(3)

            # Combine w/ next line if necessary
            repeatRegex = r"(.+?)\[[rpl]\]"
            match = re.search(repeatRegex, data[i + 1])
            while match and "[p]" not in data[i]:
                jaString = jaString + match.group(1)
                jaString = jaString.replace("_　", "")
                if "[p]" in data[i + 1]:
                    data[i] = f"{jaString}[p]\n"
                else:
                    data[i] = jaString
                del data[i + 1]
                match = re.search(repeatRegex, data[i + 1])

            originalString = jaString

            # Pass 1
            if not translatedList:
                # Remove any textwrap and commands
                jaString = jaString.replace("[r]", " ")
                jaString = jaString.replace("[l]", "")

                # Ruby Text
                furiganaList = re.findall(furiganaRegex, jaString)
                for furigana in furiganaList:
                    jaString = jaString.replace(furigana[0], furigana[1])

                # Strip Spaces
                jaString = jaString.strip()

                if jaString:
                    if speaker:
                        stringList.append(f"[{speaker}]: {jaString}")
                    else:
                        stringList.append(jaString)

            # Pass 2
            else:
                # Get Text
                if stringList:
                    # Grab and Pop
                    translatedText = stringList[0]
                    stringList.pop(0)

                    # Set to None if empty list
                    if len(stringList) <= 0:
                        stringList = None

                    # Remove speaker
                    if speaker != "":
                        matchSpeakerList = re.findall(r"^\[?(.+?)\]?\s?[|:]\s?", translatedText)
                        translatedText = re.sub(r"^\[?(.+?)\]?\s?[|:]\s?", "", translatedText)

                    # Avoid Crashes
                    translatedText = translatedText.replace("[", "(")
                    translatedText = translatedText.replace("]", ")")

                    # Textwrap
                    translatedText = dazedwrap.wrapText(translatedText, width=WIDTH)
                    translatedText = translatedText.replace("\n", "[r]")

                    # Set Data
                    data[i] = data[i].replace(originalString, translatedText)
                    # Save progress after each line change (we mutated, so tokens gate optional)
                    saveCheckLines(data, filename)

        # Choices
        match = re.search(choiceRegex, data[i])
        if match:
            # Pass 1
            if not translatedList:
                choiceList.append(match.group(1))
                match = re.search(choiceRegex, data[i + 1])

            # Pass 2
            else:
                # Grab and Pop
                translatedText = choiceList[0]
                choiceList.pop(0)

                # Replace Spaces
                translatedText = translatedText.replace(" ", "\u3000")

                # Set
                data[i] = data[i].replace(match.group(1), translatedText)
                saveCheckLines(data, filename)

            i += 1
        else:
            i += 1

    # EOF
    if not translatedList:
        stringListTL = []
        choiceListTL = []

        # String List
        if stringList:
            PBAR.total = len(stringList)
            PBAR.refresh()
            response = translateAI(stringList, "Reply with the English Translation", True)
            tokens[0] += response[1][0]
            tokens[1] += response[1][1]
            stringListTL = response[0]

            if len(stringList) != len(stringListTL):
                # Mismatch
                with LOCK:
                    if FILENAME not in MISMATCH:
                        MISMATCH.append(FILENAME)

        # Choice List
        if choiceList:
            response = translateAI(choiceList, "Reply with the English TL of the Dialogue Choice", True)
            tokens[0] += response[1][0]
            tokens[1] += response[1][1]
            choiceListTL = response[0]

            if len(choiceList) != len(choiceListTL):
                # Mismatch
                with LOCK:
                    if FILENAME not in MISMATCH:
                        MISMATCH.append(FILENAME)

        # Set Strings
    translateTyrano(data, filename, [stringListTL, choiceListTL])
    return tokens

# Save some money and enter the character before translation
def getSpeaker(speaker):
    match speaker:
        case "ファイン":
            return ["Fine", [0, 0]]
        case "":
            return ["", [0, 0]]
        case _:
            # Find Speaker
            for i in range(len(NAMESLIST)):
                if speaker == NAMESLIST[i][0]:
                    return [NAMESLIST[i][1], [0, 0]]

            # Translate and Store Speaker
            response = translateAI(
                f"{speaker}",
                "Reply with the " + LANGUAGE + " translation of the NPC name.",
                False,
            )
            response[0] = response[0].title()
            response[0] = response[0].replace("'S", "'s")
            response[0] = response[0].replace("Speaker: ", "")

            # Retry if name doesn't translate for some reason
            if re.search(r"([a-zA-Z？?])", response[0]) == None:
                response = translateAI(
                    f"{speaker}",
                    "Reply with the " + LANGUAGE + " translation of the NPC name.",
                    False,
                )
                response[0] = response[0].title()
                response[0] = response[0].replace("'S", "'s")

            speakerList = [speaker, response[0]]
            NAMESLIST.append(speakerList)
            return response
    return [speaker, [0, 0]]

def translateAI(text, history, fullPromptFlag):
    """
    Legacy wrapper function for the new shared translation utility.
    This maintains compatibility with existing code while using the new shared implementation.
    """
    global PBAR, MISMATCH, FILENAME
    
    # Update config estimate mode based on global ESTIMATE
    TRANSLATION_CONFIG.estimateMode = bool(ESTIMATE)
    
    # Call the new shared translation function
    return sharedtranslateAI(
        text=text,
        history=history,
        fullPromptFlag=fullPromptFlag,
        config=TRANSLATION_CONFIG,
        filename=FILENAME,
        pbar=PBAR,
        lock=LOCK,
        mismatchList=MISMATCH
    )