# Libraries
import json
import os
import re
import util.dazedwrap as dazedwrap
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
from util.translation import TranslationConfig, translateAI as sharedtranslateAI, getPricingConfig, calculateCost, getPricingConfig, calculateCost
import tempfile

# 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)
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 handleRenpy(filename, estimate):
    global ESTIMATE
    global FILENAME
    FILENAME = filename
    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
    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 = parseRenpy(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 parseRenpy(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 = translateRenpy(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 translateRenpy(data, filename, translatedList):
    stringList = []
    currentGroup = []
    tokens = [0, 0]
    speaker = ""
    voice = False
    global LOCK, ESTIMATE, FILENAME, PBAR
    i = 0

    while i < len(data):
        voice = False
        speaker = ""
        lineRegexNoSpeaker = r'^\s\s\s\s"(.*)"'
        lineRegexSpeaker = r'^\s\s\s\s(.+?)\s"(.*)"'

        # Grab Line
        match = re.search(lineRegexSpeaker, data[i])
        if match:
            response = getSpeaker(match.group(1))
            jaString = match.group(2)
            speaker = response[0]
            tokens[0] += response[1][0]
            tokens[1] += response[1][1]
        else:
            match = re.search(lineRegexNoSpeaker, data[i])
            if match:
                jaString = match.group(1)

        # Valid Line
        if match and "voice" not in data[i]:
            originalString = jaString
            # Pass 1
            if translatedList == []:
                # Remove any textwrap
                jaString = jaString.replace("\\n", " ")

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

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

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

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

                    # Escape Quotes
                    translatedText = re.sub(r'[\\]*(")', '\\"', translatedText)
                    translatedText = re.sub(r"[\\]*(')", "\\'", translatedText)

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

                    # Set Data
                    data[i] = data[i].replace(originalString, translatedText)
                    save_progress_lines(data, filename)
            i += 1
        else:
            i += 1

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

        # Translate
        response = translateAI(stringList, "Reply with the English TL of the NPC Name", True)
        tokens[0] += response[1][0]
        tokens[1] += response[1][1]
        translatedList = response[0]

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

        # Mismatch
        else:
            with LOCK:
                if FILENAME not in MISMATCH:
                    MISMATCH.append(FILENAME)
    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
    )
