Mercurial > repos > recetox > matchms_networking
comparison matchms_networking_wrapper.py @ 0:e4ec3592507f draft
planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit f7bab98744e338dcdbdc9cf6f9de287632c76ea2
author | recetox |
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date | Tue, 18 Oct 2022 13:23:28 +0000 |
parents | |
children | 8147d93d372d |
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-1:000000000000 | 0:e4ec3592507f |
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1 import argparse | |
2 import sys | |
3 | |
4 from matchms.importing import scores_from_json | |
5 from matchms.networking import SimilarityNetwork | |
6 | |
7 | |
8 def main(argv): | |
9 parser = argparse.ArgumentParser(description="Create network-graph from similarity scores.") | |
10 parser.add_argument("--graph_format", type=str, help="Format of the output similarity network.") | |
11 parser.add_argument("--identifier", type=str, help="Unique metadata identifier of each spectrum from which scores are computed.") | |
12 parser.add_argument("--top_n", type=int, help="Number of highest-score edges to keep.") | |
13 parser.add_argument("--max_links", type=int, help="Maximum number of links to add per node.") | |
14 parser.add_argument("--score_cutoff", type=float, help="Minimum similarity score value to link two spectra.") | |
15 parser.add_argument("--link_method", type=str, help="Method for selecting top N edges for each node.") | |
16 parser.add_argument("--keep_unconnected_nodes", help="Keep unconnected nodes in the network.", action="store_true") | |
17 parser.add_argument("scores", type=str, help="Path to matchMS similarity-scores .json file.") | |
18 parser.add_argument("output_filename", type=str, help="Path where to store the output similarity network.") | |
19 args = parser.parse_args() | |
20 | |
21 scores = scores_from_json(args.scores) | |
22 | |
23 network = SimilarityNetwork(identifier_key=args.identifier, | |
24 top_n=args.top_n, | |
25 max_links=args.max_links, | |
26 score_cutoff=args.score_cutoff, | |
27 link_method=args.link_method, | |
28 keep_unconnected_nodes=args.keep_unconnected_nodes) | |
29 | |
30 network.create_network(scores) | |
31 network.export_to_file(filename=args.output_filename, graph_format=args.graph_format) | |
32 | |
33 return 0 | |
34 | |
35 | |
36 if __name__ == "__main__": | |
37 main(argv=sys.argv[1:]) | |
38 pass |