annotate formatter.py @ 0:03bc9b7f40f6 draft

planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit f79a5b51599254817727bc9028b9797ea994cb4e
author recetox
date Tue, 27 Jun 2023 14:28:41 +0000
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03bc9b7f40f6 planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit f79a5b51599254817727bc9028b9797ea994cb4e
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1 import click
03bc9b7f40f6 planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit f79a5b51599254817727bc9028b9797ea994cb4e
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2 from matchms.importing import scores_from_json
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3 from pandas import DataFrame
03bc9b7f40f6 planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit f79a5b51599254817727bc9028b9797ea994cb4e
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6 def scores_to_dataframe(scores):
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7 """Unpack scores from matchms.scores into two dataframes of scores and matches.
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9 Args:
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10 scores (matchms.scores): matchms.scores object.
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12 Returns:
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13 DataFrame: Scores
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14 DataFrame: Matches
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15 """
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16 dataframe = DataFrame(columns=['query', 'reference', *scores.scores.score_names])
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18 for i, (row, col) in enumerate(zip(scores.scores.row, scores.scores.col)):
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19 dataframe.loc[i] = [scores.queries[col].metadata['compound_name'], scores.references[row].metadata['compound_name'], *scores.scores.data[i]]
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21 return dataframe
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24 def load_data(scores_filename: str) -> DataFrame:
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25 """Load data from filenames and join on compound id.
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27 Args:
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28 scores_filename (str): Path to json file with serialized scores.
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30 Returns:
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31 DataFrame: Joined dataframe on compounds containing scores and matches in long format.
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32 """
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33 scores = scores_from_json(scores_filename)
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34 scores = scores_to_dataframe(scores)
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36 return scores
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39 @click.group(invoke_without_command=True)
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40 @click.option('--sf', 'scores_filename', type=click.Path(exists=True), required=True)
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41 @click.option('--o', 'output_filename', type=click.Path(writable=True), required=True)
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42 def cli(scores_filename, output_filename):
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43 result = load_data(scores_filename)
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44 result.to_csv(output_filename, sep="\t", index=False)
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45 pass
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48 if __name__ == '__main__':
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49 cli()