import asyncio
import json
import logging
import socket
import traceback
from datetime import datetime, timezone
from typing import AsyncContextManager
import math

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

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

### Database ###
USE_DB: bool = False
USE_VK: bool = True
# VK_FUND_RATE = 'fund_rate_extended'
VK_FUND_RATE_ALL = 'fund_rate_extended_all'

CON: AsyncContextManager
VAL_KEY: valkey.Valkey

### Logging ###
load_dotenv()
LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Extended_FR_ALL.log'

### Globals ###
WSS_URL = "wss://api.starknet.extended.exchange/stream.extended.exchange/v1/funding/"
LOCAL_FUNDING_RATES = []

def time_round_down(dt, interval_mins=5) -> int: # returns timestamp in seconds
    interval_secs = interval_mins * 60
    seconds = dt.timestamp()
    rounded_seconds = math.floor(seconds / interval_secs) * interval_secs
    
    return rounded_seconds

### Websocket ###
async def ws_stream():
    global LOCAL_FUNDING_RATES

    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:
                            # print(f'FR: {data}')
                            # fr_next_update_ts = (time_round_down(dt=datetime.now(timezone.utc), interval_mins=60)+(60*60))*1000
                            fr_update = {
                                'sequence_id': data['seq'],
                                'timestamp_arrival': ts_arrival,
                                'timestamp_msg': data['ts'],
                                'symbol': data['data']['m'],
                                'funding_rate': float(data['data']['f']),
                                'funding_rate_updated_ts_ms': data['data']['T'],
                                # 'next_funding_time_ts_ms': fr_next_update_ts,
                            }
                            LOCAL_FUNDING_RATES = utils.upsert_list_of_dicts_by_id(LOCAL_FUNDING_RATES, fr_update, id='symbol', seq_check_field=None)
                            VAL_KEY.set(VK_FUND_RATE_ALL, json.dumps(LOCAL_FUNDING_RATES))
                            # print(f'VK_SAVED: {data}')
                            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())

### Startup ###
async def main():
    global VAL_KEY
    global CON
    
    if USE_VK:
        VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
    else:
        logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
        raise NotImplementedError('Cannot run without VK')

    if USE_DB:
        engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
        async with engine.connect() as CON:
            # await create_rtds_btcusd_table(CON=CON)
            await ws_stream()
    else:
        logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
        raise NotImplementedError('DB not implemented')


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")