69 lines
2.7 KiB
Python
69 lines
2.7 KiB
Python
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import pythonbible as bible
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import random, argparse, datetime
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import pandas as pd
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def generate_readplan(start_date):
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book_groups = bible.BOOK_GROUPS
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reading_list = []
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# Drop OLD TESTAMENT and NEW TESTAMENT from book_groups
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all_books = list(set(book_groups['Old Testament'])) + list(set(book_groups['New Testament']))
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book_groups.pop('Old Testament', 'New Testament')
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# Randomly order book groups
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book_groups = dict(sorted(book_groups.items(), key=lambda x: random.random()))
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for group in book_groups.keys():
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reading_list.extend(book_groups[group])
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reading_list = list(set(reading_list))
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# Find missing books in reading_list
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missing_books = list(set(all_books) - set(reading_list))
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# Randomly order missing books
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missing_books = sorted(missing_books, key=lambda x: random.random())
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# Insert missing books in reading_list
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for book in missing_books:
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reading_list.insert(random.randint(0, len(reading_list)), book)
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total_chapters = sum([bible.get_number_of_chapters(reading_list[i]) for i in range(len(reading_list))])
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chapters_per_day = total_chapters // 365 + 1
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df = pd.DataFrame(columns=['Book', 'Chapters'])
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for book in reading_list:
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df = pd.concat([df, pd.DataFrame({'Book': [book.title], 'Chapters': [bible.get_number_of_chapters(book)]})])
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# Generate a reading plan, by reading 4 chapters per day, until the reading list is empty. Read 4 chapters per day
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reading_plan_df = pd.DataFrame(columns=['Date', 'Book', 'Start Chapter', 'End Chapter'])
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date = pd.Timestamp(start_date) # Start date
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for row in df.iterrows():
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book = row[1]['Book']
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chapters = row[1]['Chapters']
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start_chapter = 1
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end_chapter = min(chapters, start_chapter + chapters_per_day - 1)
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while start_chapter <= chapters:
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reading_plan_df = pd.concat([reading_plan_df, pd.DataFrame({'Date': [date], 'Book': [book], 'Start Chapter': [start_chapter], 'End Chapter': [end_chapter]})])
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date += pd.Timedelta(days=1)
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start_chapter = end_chapter + 1
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end_chapter = min(chapters, start_chapter + chapters_per_day - 1)
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# Set date as index
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reading_plan_df.set_index('Date', inplace=True)
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return reading_plan_df
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if __name__ == '__main__':
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# Add start date as argument
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parser = argparse.ArgumentParser()
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parser.add_argument('--start_date', help='Start date of the reading plan (YYYY-MM-DD)', required=False, type=str)
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args = parser.parse_args()
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if not args.start_date:
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args.start_date = datetime.datetime.now().strftime('%Y-%m-%d')
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reading_list = generate_readplan(start_date=args.start_date)
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reading_list.to_csv(f'reading_plan_{args.start_date}.csv', index=True)
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