import asyncio
import json
import logging
import os
import socket
import traceback
from datetime import datetime
from typing import AsyncContextManager

import numpy as np
import pandas as pd
import requests.packages.urllib3.util.connection as urllib3_cn  # type: ignore
import valkey
import websockets
from dotenv import load_dotenv
from sqlalchemy.ext.asyncio import create_async_engine

import modules.db as db
import modules.extended_db as extended_db


### Allow only ipv4 ###
def allowed_gai_family():
    return socket.AF_INET
urllib3_cn.allowed_gai_family = allowed_gai_family

### Database ###
USE_DB: bool = True
USE_VK: bool = True

VK_LAST_TRADE = 'fut_last_trade_extended'
CON: AsyncContextManager | None = None
VAL_KEY = None

### Logging ###
load_dotenv()
LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Extended_Trades.log'

### CONSTANTS ###
WS_SYMBOL: str = 'ETH-USD'

### Globals ###
WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/publicTrades/{WS_SYMBOL}"

### Websocket ###
async def ws_stream():
    async for websocket in websockets.connect(WSS_URL):
        logging.info(f"Connected to {WSS_URL}")
        try:
            async for message in websocket:
                ts_arrival = round(datetime.now().timestamp()*1000)
                if isinstance(message, str):
                    try: 
                        data = json.loads(message)
                        if data.get('data', None) is not None:
                            if data['seq'] == 1: # Skip first msg that has historical trades
                                continue
                            list_for_df = []
                            for t in data['data']:
                                trade_obj = {
                                    'sequence_id': data['seq'],
                                    'timestamp_arrival': ts_arrival,
                                    'timestamp_msg': data['ts'],
                                    'timestamp_trade': t['T'],
                                    'symbol': t['m'],
                                    'side_taker': t['S'],
                                    'trade_type': t['tT'],
                                    'price': float(t['p']),
                                    'qty': float(t['q']),
                                    'trade_id': t['i'],
                                    'is_buyer_mkt_maker': True if t['S']=='SELL' else False,
                                }
                                list_for_df.append(trade_obj)
                            # VAL_KEY.set(VK_LAST_TRADE, json.dumps(trade_obj))
                            if USE_DB:
                                await db.insert_df_to_mysql(table_name='fr_extended_mkt_trades', params=list_for_df, CON=CON)
                                pass
                            continue
                        else:
                            logging.info(f'Initial or unexpected data struct, skipping: {data}')
                            continue
                    except (json.JSONDecodeError, ValueError):
                        logging.warning(f'Message not in JSON format, skipping: {message}')
                        continue
                else:
                    raise ValueError(f'Type: {type(data)}  not expected: {message}')
        except websockets.ConnectionClosed as e:
            logging.error(f'Connection closed: {e}')
            logging.error(traceback.format_exc())
            continue
        except Exception as e:
            logging.error(f'Connection closed: {e}')
            logging.error(traceback.format_exc())


async def main():
    global VAL_KEY
    global CON
    
    if USE_VK:
        VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
    else:
        VAL_KEY = None
        logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")

    if USE_DB:
        engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
        async with engine.connect() as CON:
            await extended_db.create_fr_extended_mkt_trades(CON=CON)
            await ws_stream()
    else:
        CON = None
        logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
        await ws_stream()


if __name__ == '__main__':
    START_TIME = round(datetime.now().timestamp()*1000)

    logging.info(f'Log FilePath: {LOG_FILEPATH}')

    logging.basicConfig(
        force=True,
        filename=LOG_FILEPATH,
        level=logging.INFO,
        format='%(asctime)s - %(levelname)s - %(message)s',
        filemode='w'
    )
    logging.info(f"STARTED: {START_TIME}")
    
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        logging.info("Stream stopped")