docs: generate-resources: added starting spreadsheet from A1, fixed arguments
Signed-off-by: Grzegorz Latosinski <glatosinski@antmicro.com>
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@ -21,13 +21,25 @@ import sys
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import argparse
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from pathlib import Path
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import pandas as pd
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import errno
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def parse_entries(filepath, sheet_name, cols):
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def parse_entries(filepath, sheet_name, cols=None):
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"""
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Loads resources from spreadsheet to pandas frames.
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Parameters
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----------
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filepath:
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path or URL to spreadsheet file (ODS requires odfpy package, XLSX
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requires xlrd package)
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sheet_name: name of the sheet to extract data from
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cols: range of columns to extract from the sheet
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"""
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values = pd.read_excel(
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filepath,
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sheet_name=sheet_name,
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header=1,
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header=0,
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usecols=cols
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)
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values = values.where(values.notnull(), None)
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@ -36,32 +48,39 @@ def parse_entries(filepath, sheet_name, cols):
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def main(argv):
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parser = argparse.ArgumentParser(prog=argv[0])
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parser.add_argument(
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'input_xlsx',
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help='The path to input XLSX file or GID to Google Spreadsheet',
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type=Path
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)
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parser.add_argument(
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'output',
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help='The path to output RST file',
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type=Path
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)
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parser.add_argument(
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'--input-is-spreadsheet-id',
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help='The input_xlsx argument holds public Google Spreadsheet ID',
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'--spreadsheet-file',
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help='The path to input spreadsheet file',
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type=Path
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)
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parser.add_argument(
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'--google-spreadsheet-id',
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help='Google Spreadsheet ID of the document to process',
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action='store_true'
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)
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args = parser.parse_args(argv[1:])
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if args.input_is_spreadsheet_id:
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args.input_xlsx = f'https://docs.google.com/spreadsheets/d/{args.input_xlsx}/export?format=xlsx' # noqa: E501
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input_file = None
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if args.spreadsheet_file:
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input_file = args.spreadsheet_file
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if args.google_spreadsheet_id:
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input_file = f'https://docs.google.com/spreadsheets/d/{args.google_spreadsheet_id}/export?format=ods' # noqa: E501
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news_articles = parse_entries(args.input_xlsx, 'News Articles', 'B:D')
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talk_series = parse_entries(args.input_xlsx, 'Talk Series', 'B:M')
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conferences = parse_entries(args.input_xlsx, 'Conferences', 'B:D')
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linkedin = parse_entries(args.input_xlsx, 'LinkedIn Posts', 'B:C')
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courses = parse_entries(args.input_xlsx, 'Courses', 'B:D')
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if input_file is None:
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print('Input file is not provided')
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return errno.ENOENT
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news_articles = parse_entries(input_file, 'News Articles')
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talk_series = parse_entries(input_file, 'Talk Series')
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conferences = parse_entries(input_file, 'Conferences')
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linkedin = parse_entries(input_file, 'LinkedIn Posts')
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courses = parse_entries(input_file, 'Courses')
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with open(args.output, 'w') as out:
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out.write('Further Resources\n')
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