# This file contains functions related to logging data from the program to a CSV file.
# They are mainly but not only called by the ConfigureLogging class in User_Interface.py.

# import packages
import pandas as pd
from datetime import datetime
import os
from tkinter import filedialog
from tkinter import messagebox

# import other project files
import globals as g
import User_Interface as ui

log_data = pd.DataFrame()  # pandas data frame containing the logged data, in-program representation of csv/excel data
unsaved_data = False  # Bool to indicate if there is unsaved data, set to True each time a datapoint is logged
zero_time = datetime.now()  # set reference for timestamps in log file, reset when log_data is cleared and restarted

# create dictionary with all value handles that could be logged
# Key: String that is displayed in UI and column headers. Also serves as handle to access dictionary elements.
# Keys are the same as the rows in the status display ToDo (optional): use this for the status display
# Content: name of the corresponding attribute in the Axis class (in cage_func.py).
# Important: attribute handle must match definition in Axis class exactly, used with getattr() to get values.
axis_data_dict = {
    'PSU Status': 'connected',
    'Voltage Setpoint': 'voltage_setpoint',
    'Actual Voltage': 'voltage',
    'Current Setpoint': 'current_setpoint',
    'Actual Current': 'current',
    'Target Field': 'target_field_comp',
    'Trgt. Field Raw': 'target_field_comp',
    'Target Current': 'target_current',
    'Inverted': 'polarity_switched'
}


def triple_list(key_list):  # creates list with each entry of key_list tripled with axis names before it
    new_list = []  # initialize list
    for key in key_list:  # go through the given list
        for axis_name in ['X', 'Y', 'Z']:  # per given list entry create three, one for each axis
            new_list.append(' '.join((axis_name, key)))  # put axis_name before the given entry and append to new list
    return new_list


def log_datapoint(key_list):  # logs a single row of data into the log_data DataFrame
    # key_list determines what data is logged
    global log_data  # get global dataframe with logged data
    global unsaved_data  # get global variable that indicates if there is unsaved data

    date = datetime.now().date()  # get current date
    time = datetime.now().strftime("%H:%M:%S,%f")  # get string with current time in correct format
    t = (datetime.now() - zero_time).total_seconds()  # calculate timestamp relative to the start of the logging

    data = [[date, time, t]]  # initialize new data row with timestamps
    for key in key_list:  # go through the list telling us what data to log
        for axis in g.AXES:  # log this data for each axis
            # get relevant value from the correct AXIS object and append to new data row:
            data[0].append(getattr(axis, axis_data_dict[key]))

    column_names = ["Date", "Time", "t (s)", *triple_list(key_list)]  # create list with the correct column headers
    new_row = pd.DataFrame(data, columns=column_names)  # create data frame containing the new row
    log_data = log_data.append(new_row, ignore_index=True)  # append the new data frame to the logged data
    unsaved_data = True  # tell other program parts that there is now unsaved data


def select_file():  # select a file to write logs to
    directory = os.path.abspath(os.getcwd())  # get project directory
    # open file selection dialogue and save path of selected file
    filepath = filedialog.asksaveasfilename(initialdir=directory, title="Set log file",
                                            filetypes=([("Comma Separated Values", "*.csv*")]),
                                            defaultextension=[("Comma Separated Values", "*.csv*")])

    if filepath == '':  # this happens when file selection window is closed without selecting a file
        ui.ui_print("No file selected, can't save logged data.")
        return None
    else:  # a valid file name was entered
        return filepath


def write_to_file(dataframe, filepath):
    # get global variables for use in this function:
    global unsaved_data
    if filepath is not None:  # user has selected a file and no errors occurred
        ui.ui_print("Writing logged data to file", filepath)
        try:
            # write data collected in log_data DataFrame to csv file in german excel format:
            dataframe.to_csv(filepath, index=False, sep=';', decimal=',')
        except PermissionError:
            message = "No permission to write to: \n%s. \nFile may be open in another program." % filepath
            messagebox.showerror("Permission Error", message)
        except BaseException as e:
            message = "Error while trying to write to file \n%s.\n%s" % (filepath, e)
            messagebox.showerror("Error!", message)
        else:  # no exceptions occurred
            unsaved_data = False  # tell everything that there is no unsaved data remaining
            ui.ui_print("Log data saved to", filepath)


def clear_logged_data():  # clears all logged data from data frame
    global log_data  # get global variable
    log_data = pd.DataFrame()  # reset to an empty data frame, i.e. clearing all logged data