import pandas as pd
import MetaTrader5 as mt5
import logging


class MT5:
    """
    A class to connect to and interface with MetaTrader 5
    """

    # Timeframes
    TIMEFRAME_M1 = mt5.TIMEFRAME_M1
    TIMEFRAME_M2 = mt5.TIMEFRAME_M2
    TIMEFRAME_M3 = mt5.TIMEFRAME_M3
    TIMEFRAME_M4 = mt5.TIMEFRAME_M4
    TIMEFRAME_M5 = mt5.TIMEFRAME_M5
    TIMEFRAME_M6 = mt5.TIMEFRAME_M6
    TIMEFRAME_M10 = mt5.TIMEFRAME_M10
    TIMEFRAME_M12 = mt5.TIMEFRAME_M10
    TIMEFRAME_M15 = mt5.TIMEFRAME_M15
    TIMEFRAME_M20 = mt5.TIMEFRAME_M20
    TIMEFRAME_M30 = mt5.TIMEFRAME_M30
    TIMEFRAME_H1 = mt5.TIMEFRAME_H1
    TIMEFRAME_H2 = mt5.TIMEFRAME_H2
    TIMEFRAME_H3 = mt5.TIMEFRAME_H3
    TIMEFRAME_H4 = mt5.TIMEFRAME_H4
    TIMEFRAME_H6 = mt5.TIMEFRAME_H6
    TIMEFRAME_H8 = mt5.TIMEFRAME_H8
    TIMEFRAME_H12 = mt5.TIMEFRAME_H12
    TIMEFRAME_D1 = mt5.TIMEFRAME_D1
    TIMEFRAME_W1 = mt5.TIMEFRAME_W1
    TIMEFRAME_MN1 = mt5.TIMEFRAME_MN1

    def __init__(self):
        # Connect to MetaTrader5. Opens if not already open.

        # Logger
        self.log = logging.getLogger(__name__)

        # Open MT5 and log error if it could not open
        if not mt5.initialize():
            self.log.error("initialize() failed")
            mt5.shutdown()

        # Print connection status
        self.log.debug(mt5.terminal_info())

        # Print data on MetaTrader 5 version
        self.log.debug(mt5.version())

    def __del__(self):
        # shut down connection to the MetaTrader 5 terminal
        mt5.shutdown()

    def get_symbols(self):
        """
        Gets list of symbols open in MT5 market watch.
        :return: list of symbols
        """
        # Iterate symbols and get those in market watch.
        symbols = mt5.symbols_get()
        selected_symbols = []
        for symbol in symbols:
            if symbol.visible:
                selected_symbols.append(symbol)

        # Log symbol counts
        total_symbols = mt5.symbols_total()
        num_selected_symbols = len(selected_symbols)
        self.log.info(f"{num_selected_symbols} of {total_symbols} available symbols in Market Watch.")

        return selected_symbols

    def get_prices(self, symbol, from_date, to_date, timeframe):
        """
        Gets OHLC price data for the specified symbol.
        :param symbol: The MT5 symbol to get the price data for
        :param from_date: Date from when to retrieve data
        :param to_date: Date where to receive data to
        :param timeframe: The timeframe for the candes. Possible values are:
            TIMEFRAME_M1: 1 minute
            TIMEFRAME_M2: 2 minutes
            TIMEFRAME_M3: 3 minutes
            TIMEFRAME_M4: 4 minutes
            TIMEFRAME_M5: 5 minutes
            TIMEFRAME_M6: 6 minutes
            TIMEFRAME_M10: 10 minutes
            TIMEFRAME_M12: 12 minutes
            TIMEFRAME_M15: 15 minutes
            TIMEFRAME_M20: 20 minutes
            TIMEFRAME_M30: 30 minutes
            TIMEFRAME_H1: 1 hour
            TIMEFRAME_H2: 2 hours
            TIMEFRAME_H3: 3 hours
            TIMEFRAME_H4: 4 hours
            TIMEFRAME_H6: 6 hours
            TIMEFRAME_H8: 8 hours
            TIMEFRAME_H12: 12 hours
            TIMEFRAME_D1: 1 day
            TIMEFRAME_W1: 1 week
            TIMEFRAME_MN1: 1 month
        :return: Price data for symbol as dataframe
        """
        # Get prices from MT5
        prices = mt5.copy_rates_range(symbol.name, timeframe, from_date, to_date)
        self.log.info(f"{len(prices)} prices retrieved for {symbol.name}.")

        # Create dataframe from data and convert time in seconds to datetime format
        prices_dataframe = pd.DataFrame(prices)
        prices_dataframe['time'] = pd.to_datetime(prices_dataframe['time'], unit='s')

        return prices_dataframe