# MIT License
#
# Copyright (c) 2020 Brett Graves
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

from ..Api import AccountEndpoint, RequestType


class History(AccountEndpoint):
    _type = RequestType.Info
    _resource = "accounts/{0}/history.json"

    @staticmethod
    def _process(entry):
        """Process a single transaction, into
        the format that's most useful
        """

        t = entry["transaction"]

        # Get the consistent trading symbol
        x = {}
        x["sectyp"] = t["security"]["sectyp"]

        if x["sectyp"] == "OPT":
            # Process this option
            x["symbol"] = t["security"]["id"]

        elif x["sectyp"] == "CS":
            # Process stock
            x["symbol"] = t["security"]["sym"]

        else:
            # Something else, cash transfer or dividend likely
            x["symbol"] = None

        x["cusip"] = t["security"]["cusip"]

        # Register the human-readable transaction type
        #  buy, sell, short or cover
        side = t["side"]
        accttyp = t["accounttype"]

        if entry["activity"] == "Trade":
            if side == "1":
                if accttyp == "5":
                    x["transactiontype"] = "buy"
                else:
                    x["transactiontype"] = "buy to cover"

            elif side == "2":
                x["transactiontype"] = "sell"

            elif side == "5":
                x["transactiontype"] = "short sell"

        # Modify the trade date to something actually useful
        entry["date"] = entry["date"][:10]

        # Pull some of these values out of transaction
        for i in ("source", "settlementdate", "transactionid", "security", "tradedate"):
            entry["transaction"].pop(i)

        # Now plop them down into the root
        entry = {**entry, **entry["transaction"]}

        # Now delete transaction
        entry.pop("transaction")

        # Now combine our values with entry's values
        return {**entry, **x}

    def extract(self, response):
        """Extract certain fields from response"""
        response = response.json()["response"]
        history = response["transactions"]["transaction"]

        return [History._process(x) for x in history]

    def req_body(self, **kwargs):
        """Return get params together with post body data"""
        params = {"range": kwargs.get("range_"), "transactions": kwargs.get("type_")}
        data = None
        return params, data

    @staticmethod
    def DataFrame(raw):
        import pandas as pd

        # Create dataframe from our dataset
        df = pd.DataFrame(raw).apply(
            # And also cast relevent fields to numeric values
            pd.to_numeric,
            errors="ignore",
        )
        df["date"] = pd.to_datetime(df["date"])
        return df


def history(self, dataframe: bool = True, block: bool = True):
    """Gets the transaction history for the account.

    Calls the 'accounts/./history.json' endpoint to get list of all trade
    and cash  movement history for an account. This includes dividends, cash
    deposits and withdrawals, and all trades, including pricing information about
    each trade.

    Args:
            dataframe: Specify an output format
            block: Specify whether to block thread if request exceeds rate limit

    Returns:
            Default: Pandas dataframe
            Otherwise: flat list of dictionaries

    Raises:
            RateLimitException: If block=False, rate limit problems will be raised

    """
    result = History(
        auth=self.auth, account_nbr=self.account_nbr, block=block
    ).request()

    if dataframe:
        try:
            result = History.DataFrame(result)
        except:
            pass

    return result
