#!/usr/bin/env python3 # -*-coding:UTF-8 -* import os import sys import json import argparse sys.path.append(os.path.join(os.environ['AIL_BIN'], 'packages/')) import Cryptocurrency sys.path.append(os.path.join(os.environ['AIL_BIN'], 'lib/')) import ConfigLoader import Correlate_object mode = 'union' def sanitise_int(page, default_value): try: page = int(page) except: page = default_value if page < 1: page = default_value return page def sanitise_nb_max_nodes(nb_max_nodes): try: nb_max_nodes = int(nb_max_nodes) if nb_max_nodes < 2: nb_max_nodes = 300 except: nb_max_nodes = 300 return nb_max_nodes def get_object_correlation_json(correlation_id, subtype, max_nodes): object_type = 'cryptocurrency' max_nodes = sanitise_nb_max_nodes(max_nodes) # ALL correlations correlation_names = Correlate_object.sanitise_correlation_names('') correlation_objects = Correlate_object.sanitise_correlation_objects('') res = Correlate_object.get_graph_node_object_correlation(object_type, correlation_id, mode, correlation_names, correlation_objects, requested_correl_type=subtype, max_nodes=max_nodes, flask_context=False) return res if __name__ == '__main__': parser = argparse.ArgumentParser(description='Trigger backgroud update') parser.add_argument('-t', '--type', help='Cryptocurrency type (bitcoin, bitcoin-cash, ethereum, litecoin, monero, dash, zcash)', type=str, dest='type', required=True, default=None) parser.add_argument('-a', '--address', help='Cryptocurrency addresses', type=str, dest='address', required=True, default=None, nargs="*") parser.add_argument('-p', '--page',help='page number' , type=int, default=1, dest='page') parser.add_argument('-n', '--nb',help='number of addresses by page' , type=int, default=50, dest='nb_elem') parser.add_argument('--node' ,help='correlation graph: max number of nodes' , type=int, default=50, dest='max_nodes') args = parser.parse_args() subtype = args.type if subtype is None: parser.print_help() sys.exit(0) page = sanitise_int(args.page, 1) nb_elem = sanitise_int(args.nb_elem, 50) max_nodes = sanitise_int(args.max_nodes, 300) dict_json = {} if args.address: l_addresse = Cryptocurrency.cryptocurrency.paginate_list(args.address, nb_elem=nb_elem, page=page) else: l_addresse = Cryptocurrency.cryptocurrency.get_all_correlations_by_subtype_pagination(subtype, nb_elem=nb_elem, page=page) for address in l_addresse: dict_json[address] = get_object_correlation_json(address, subtype, max_nodes) print(json.dumps(dict_json))