# Copyright (c) Facebook, Inc. and its affiliates.

# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import inspect
import unicodedata
import warnings

import pandas as pd
import numpy as np

import holidays as hdays_part1
import fbprophet.hdays as hdays_part2


def utf8_to_ascii(text):
    """Holidays often have utf-8 characters. These are not allowed in R
    package data (they generate a NOTE).
    TODO: revisit whether we want to do this lossy conversion.
    """
    ascii_text = (
        unicodedata.normalize('NFD', text)
        .encode('ascii', 'ignore')
        .decode('ascii')
        .strip()
    )
    # Check if anything converted
    if sum(1 for x in ascii_text if x not in [' ', '(', ')', ',']) == 0:
        return 'FAILED_TO_PARSE'
    else:
        return ascii_text


def generate_holidays_file():
    """Generate csv file of all possible holiday names, ds,
     and countries, year combination
    """
    years = np.arange(1995, 2045, 1)
    all_holidays = []
    # class names in holiday packages which are not countries
    # Also cut out countries with utf-8 holidays that don't parse to ascii
    class_to_exclude = set([
        'rd', 'date', 'Lunar', 'timedelta', 'Calendar', 'Converter', 'HolidayBase',
        'DateNotExist', 'Belarus', 'BY', 'Bulgaria', 'BG', 'Japan', 'JP', 'Serbia',
        'RS', 'Ukraine', 'UA',
    ])

    class_list2 = inspect.getmembers(hdays_part2, inspect.isclass)
    country_set2 = set(list(zip(*class_list2))[0])
    country_set2 -= class_to_exclude
    for country in country_set2:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            temp = getattr(hdays_part2, country)(years=years)
        temp_df = pd.DataFrame(list(temp.items()),
                                columns=['ds', 'holiday'])
        temp_df['country'] = country
        all_holidays.append(temp_df)

    class_list1 = inspect.getmembers(hdays_part1, inspect.isclass)
    country_set1 = set(list(zip(*class_list1))[0])
    country_set1 -= class_to_exclude
    # Avoid overwrting holidays get from hdays_part2
    country_set1 -= country_set2
    for country in country_set1:
        temp = getattr(hdays_part1, country)(years=years)
        temp_df = pd.DataFrame(list(temp.items()),
                                columns=['ds', 'holiday'])
        temp_df['country'] = country
        all_holidays.append(temp_df)

    generated_holidays = pd.concat(all_holidays, axis=0, ignore_index=True)
    generated_holidays['year'] = generated_holidays.ds.apply(lambda x: x.year)
    generated_holidays.sort_values(['country', 'ds', 'holiday'], inplace=True)

    # Convert to ASCII, and drop holidays that fail to convert
    generated_holidays['holiday'] = generated_holidays['holiday'].apply(utf8_to_ascii)
    assert 'FAILED_TO_PARSE' not in generated_holidays['holiday'].unique()
    generated_holidays.to_csv("../R/data-raw/generated_holidays.csv", index=False)


if __name__ == "__main__":
    # execute only if run as a script
    generate_holidays_file()