2023-09-13 10:05:44 +00:00
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import pandas as pd
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import argparse
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import requests
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def write_html(df, filename, css=None):
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books_as_html = df[["Titel ", "Autor*in", "Sprache", "Kategorie"]].to_html()
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with open(filename, "w", encoding="utf-8") as file:
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2023-09-13 11:02:54 +00:00
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file.writelines('<!DOCTYPE html>\n')
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2023-09-13 10:05:44 +00:00
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file.writelines('<head>\n')
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file.writelines('<meta charset="UTF-8">\n')
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if css:
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file.writelines(f'<link rel="stylesheet" href="{css}">\n')
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file.writelines('</head>\n')
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file.writelines('<body>\n')
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file.write(books_as_html)
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file.writelines('</body>\n')
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def cli():
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parser = argparse.ArgumentParser(description='Convert an odt document to a book')
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2023-09-13 11:03:13 +00:00
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parser.add_argument('-i', '--input', help="The input file (odf format)")
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2023-09-13 10:05:44 +00:00
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parser.add_argument('-o', '--output', help="Filename where to export the html table to")
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parser.add_argument('--healthcheck', help="[Optional] Healthcheck URL")
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parser.add_argument('--css', help="[Optional] relative css file location")
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args = parser.parse_args()
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book_df = pd.read_excel(args.input, engine="odf")
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write_html(book_df, args.output, args.css)
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if args.healthcheck:
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requests.post(args.healthcheck, data=f"num_books={len(book_df)}")
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if __name__ == "__main__":
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cli()
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