import pandas as pd
import numpy as np
from open_fdd.air_handling_unit.faults.fault_condition import FaultCondition
from open_fdd.air_handling_unit.faults.helper_utils import HelperUtils
import sys


class FaultConditionFifteen(FaultCondition):
    """Class provides the definitions for Fault Condition 15.
    Temperature rise across inactive heating coi.
    Requires coil leaving temp sensor.
    """

    def __init__(self, dict_):
        self.delta_supply_fan = float
        self.coil_temp_enter_err_thres = float
        self.coil_temp_leav_err_thres = float
        self.htg_coil_enter_temp_col = str
        self.htg_coil_leave_temp_col = str
        self.ahu_min_oa_dpr = float
        self.cooling_sig_col = str
        self.heating_sig_col = str
        self.economizer_sig_col = str
        self.supply_vfd_speed_col = str
        self.troubleshoot_mode = bool  # default to False
        self.rolling_window_size = int

        self.set_attributes(dict_)

    def apply(self, df: pd.DataFrame) -> pd.DataFrame:
        if self.troubleshoot_mode:
            self.troubleshoot_cols(df)

        # Check analog outputs [data with units of %] are floats only
        columns_to_check = [
            self.economizer_sig_col,
            self.cooling_sig_col,
            self.heating_sig_col,
            self.supply_vfd_speed_col,
        ]
        self.check_analog_pct(df, columns_to_check)

        # Create helper columns
        df["htg_delta_temp"] = (
            df[self.htg_coil_leave_temp_col] - df[self.htg_coil_enter_temp_col]
        )

        df["htg_delta_sqrted"] = (
            np.sqrt(
                self.coil_temp_enter_err_thres**2 + self.coil_temp_leav_err_thres**2
            )
            + self.delta_supply_fan
        )

        df["combined_check"] = (
            (
                (df["htg_delta_temp"] >= df["htg_delta_sqrted"])
                # verify AHU is in OS2 only free cooling mode
                & (df[self.economizer_sig_col] > self.ahu_min_oa_dpr)
                & (df[self.cooling_sig_col] < 0.1)
            )
            | (
                (df["htg_delta_temp"] >= df["htg_delta_sqrted"])
                # OS4 AHU state clg @ min OA
                & (df[self.cooling_sig_col] > 0.01)
                & (df[self.economizer_sig_col] == self.ahu_min_oa_dpr)
            )
            | (
                (df["htg_delta_temp"] >= df["htg_delta_sqrted"])
                # verify AHU is running in OS 3 clg mode in 100 OA
                & (df[self.cooling_sig_col] > 0.01)
                & (df[self.economizer_sig_col] > 0.9)
            )
        )

        # Rolling sum to count consecutive trues
        rolling_sum = (
            df["combined_check"].rolling(window=self.rolling_window_size).sum()
        )
        # Set flag to 1 if rolling sum equals the window size
        df["fc15_flag"] = (rolling_sum >= self.rolling_window_size).astype(int)

        if self.troubleshoot_mode:
            print("Troubleshoot mode enabled - not removing helper columns")
            sys.stdout.flush()
            del df["htg_delta_temp"]
            del df["htg_delta_sqrted"]
            del df["combined_check"]

        return df
