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chg: [tools extract_cryptocurrency] new input: list of addresses to extract
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parent
3d620a6548
commit
00c7ec2d91
2 changed files with 12 additions and 4 deletions
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@ -132,6 +132,11 @@ class Correlation(object):
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stop = start + nb_elem -1
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return r_serv_metadata.zrange(f'{self.correlation_name}_all:{subtype}', start, stop)
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def paginate_list(self, obj_list, nb_elem=50, page=1):
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start = (page - 1) * nb_elem
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stop = start + nb_elem
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return obj_list[start:stop]
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def get_all_correlation_types(self):
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'''
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Gel all correlation types
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@ -34,8 +34,6 @@ def sanitise_nb_max_nodes(nb_max_nodes):
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return nb_max_nodes
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def get_object_correlation_json(correlation_id, subtype, max_nodes):
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max_nodes = sanitise_nb_max_nodes(max_nodes)
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object_type = 'cryptocurrency'
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max_nodes = sanitise_nb_max_nodes(max_nodes)
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@ -51,7 +49,8 @@ def get_object_correlation_json(correlation_id, subtype, max_nodes):
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Trigger backgroud update')
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parser.add_argument('-t', '--type', help='Cryptocurrency type (bitcoin, bitcoin-cash, etherum, litecoin, monero, dash, zcash)', type=str, dest='type', required=True, default=None)
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parser.add_argument('-t', '--type', help='Cryptocurrency type (bitcoin, bitcoin-cash, ethereum, litecoin, monero, dash, zcash)', type=str, dest='type', required=True, default=None)
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parser.add_argument('-a', '--address', help='Cryptocurrency addresses', type=str, dest='address', required=True, default=None, nargs="*")
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parser.add_argument('-p', '--page',help='page number' , type=int, default=1, dest='page')
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parser.add_argument('-n', '--nb',help='number of addresses by page' , type=int, default=50, dest='nb_elem')
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parser.add_argument('--node' ,help='correlation graph: max number of nodes' , type=int, default=50, dest='max_nodes')
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@ -67,7 +66,11 @@ if __name__ == '__main__':
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max_nodes = sanitise_int(args.max_nodes, 300)
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dict_json = {}
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for address in Cryptocurrency.cryptocurrency.get_all_correlations_by_subtype_pagination(subtype, nb_elem=nb_elem, page=page):
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if args.address:
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l_addresse = Cryptocurrency.cryptocurrency.paginate_list(args.address, nb_elem=nb_elem, page=page)
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else:
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l_addresse = Cryptocurrency.cryptocurrency.get_all_correlations_by_subtype_pagination(subtype, nb_elem=nb_elem, page=page)
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for address in l_addresse:
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dict_json[address] = get_object_correlation_json(address, subtype, max_nodes)
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print(json.dumps(dict_json))
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