mirror of
https://github.com/ail-project/ail-framework.git
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435 lines
18 KiB
Python
Executable file
435 lines
18 KiB
Python
Executable file
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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import os
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import sys
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import redis
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sys.path.append(os.path.join(os.environ['AIL_BIN'], 'lib/'))
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import ConfigLoader
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sys.path.append(os.path.join(os.environ['AIL_BIN'], 'packages/'))
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import Date
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import Item
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#import Tag
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config_loader = ConfigLoader.ConfigLoader()
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r_serv_metadata = config_loader.get_redis_conn("ARDB_Metadata")
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config_loader = None
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def get_all_correlation_objects():
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'''
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Return a list of all correllated objects
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'''
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return ['domain', 'paste']
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class Correlation(object):
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def __init__(self, correlation_name, all_correlation_types):
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self.correlation_name = correlation_name
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self.all_correlation_types = all_correlation_types
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def _exist_corelation_field(self, correlation_type, field_name, item_type='paste'):
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if item_type=='paste':
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return r_serv_metadata.exists('set_{}_{}:{}'.format(self.correlation_name, correlation_type, field_name))
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else:
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return r_serv_metadata.exists('set_domain_{}_{}:{}'.format(self.correlation_name, correlation_type, field_name))
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def exist_correlation(self, subtype, obj_id):
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res = r_serv_metadata.zscore('{}_all:{}'.format(self.correlation_name, subtype), obj_id)
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if res is not None:
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return True
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else:
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return False
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def _get_items(self, correlation_type, field_name):
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res = r_serv_metadata.smembers('set_{}_{}:{}'.format(self.correlation_name, correlation_type, field_name))
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if res:
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return list(res)
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else:
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return []
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def get_correlation_first_seen(self, subtype, obj_id, r_int=False):
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res = r_serv_metadata.hget('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'first_seen')
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if r_int:
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if res:
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return int(res)
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else:
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return 99999999
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else:
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return res
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def get_correlation_last_seen(self, subtype, obj_id, r_int=False):
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res = r_serv_metadata.hget('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'last_seen')
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if r_int:
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if res:
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return int(res)
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else:
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return 0
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else:
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return res
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def _get_metadata(self, subtype, obj_id):
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meta_dict = {}
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meta_dict['first_seen'] = self.get_correlation_first_seen(subtype, obj_id)
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meta_dict['last_seen'] = self.get_correlation_last_seen(subtype, obj_id)
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meta_dict['nb_seen'] = r_serv_metadata.scard('set_{}_{}:{}'.format(self.correlation_name, subtype, obj_id))
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return meta_dict
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def get_metadata(self, correlation_type, field_name, date_format='str_date'):
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meta_dict = self._get_metadata(correlation_type, field_name)
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if date_format == "str_date":
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if meta_dict['first_seen']:
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meta_dict['first_seen'] = '{}/{}/{}'.format(meta_dict['first_seen'][0:4], meta_dict['first_seen'][4:6], meta_dict['first_seen'][6:8])
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if meta_dict['last_seen']:
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meta_dict['last_seen'] = '{}/{}/{}'.format(meta_dict['last_seen'][0:4], meta_dict['last_seen'][4:6], meta_dict['last_seen'][6:8])
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return meta_dict
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def get_nb_object_seen_by_date(self, correlation_type, field_name, date_day):
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nb = r_serv_metadata.hget('{}:{}:{}'.format(self.correlation_name, correlation_type, date_day), field_name)
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if nb is None:
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return 0
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else:
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return int(nb)
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def get_list_nb_previous_correlation_object(self, correlation_type, field_name, numDay):
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nb_previous_correlation = []
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for date_day in Date.get_previous_date_list(numDay):
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nb_previous_correlation.append(self.get_nb_object_seen_by_date(correlation_type, field_name, date_day))
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return nb_previous_correlation
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def _get_correlation_by_date(self, correlation_type, date):
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return r_serv_metadata.hkeys('{}:{}:{}'.format(self.correlation_name, correlation_type, date))
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def verify_correlation_field_request(self, request_dict, correlation_type, item_type='paste'):
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if not request_dict:
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return ({'status': 'error', 'reason': 'Malformed JSON'}, 400)
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field_name = request_dict.get(correlation_type, None)
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if not field_name:
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return ( {'status': 'error', 'reason': 'Mandatory parameter(s) not provided'}, 400 )
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if not self._exist_corelation_field(correlation_type, field_name, item_type=item_type):
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return ( {'status': 'error', 'reason': 'Item not found'}, 404 )
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def get_correlation(self, request_dict, correlation_type, field_name):
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dict_resp = {}
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if request_dict.get('items'):
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dict_resp['items'] = self._get_items(correlation_type, field_name)
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if request_dict.get('metadata'):
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dict_resp['metadata'] = self._get_metadata(correlation_type, field_name)
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dict_resp[correlation_type] = field_name
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return (dict_resp, 200)
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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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:return: A list of all the correlation types
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:rtype: list
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'''
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return self.all_correlation_types
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def is_valid_obj_subtype(self, subtype):
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if subtype in self.all_correlation_types:
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return True
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else:
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return False
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def get_correlation_obj_type(self):
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if self.correlation_name=='pgpdump':
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return 'pgp'
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else:
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return 'cryptocurrency'
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def sanythise_correlation_types(self, correlation_types, r_boolean=False):
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'''
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Check if all correlation types in the list are valid.
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:param correlation_types: list of correlation type
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:type currency_type: list
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:return: If a type is invalid, return the full list of correlation types else return the provided list
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:rtype: list
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'''
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if correlation_types is None:
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if r_boolean:
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return False
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else:
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return self.get_all_correlation_types()
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for correl in correlation_types: # # TODO: # OPTIMIZE:
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if correl not in self.get_all_correlation_types():
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if r_boolean:
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return False
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else:
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return self.get_all_correlation_types()
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if r_boolean:
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return True
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else:
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return correlation_types
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def _get_domain_correlation_obj(self, domain, correlation_type):
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'''
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Return correlation of a given domain.
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:param domain: crawled domain
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:type domain: str
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:param correlation_type: correlation type
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:type correlation_type: str
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:return: a list of correlation
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:rtype: list
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'''
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res = r_serv_metadata.smembers('domain_{}_{}:{}'.format(self.correlation_name, correlation_type, domain))
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if res:
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return list(res)
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else:
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return []
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def get_domain_correlation_dict(self, domain, correlation_type=None, get_nb=False):
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'''
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Return all correlation of a given domain.
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:param domain: crawled domain
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:param correlation_type: list of correlation types
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:type correlation_type: list, optional
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:return: a dictionnary of all the requested correlations
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:rtype: dict
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'''
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correlation_type = self.sanythise_correlation_types(correlation_type)
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dict_correlation = {}
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for correl in correlation_type:
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res = self._get_domain_correlation_obj(domain, correl)
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if res:
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dict_correlation[correl] = res
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if get_nb:
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dict_correlation['nb'] = dict_correlation.get('nb', 0) + len(dict_correlation[correl])
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return dict_correlation
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def _get_correlation_obj_domain(self, field_name, correlation_type):
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'''
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Return all domains that contain this correlation.
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:param domain: field name
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:type domain: str
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:param correlation_type: correlation type
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:type correlation_type: str
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:return: a list of correlation
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:rtype: list
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'''
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res = r_serv_metadata.smembers('set_domain_{}_{}:{}'.format(self.correlation_name, correlation_type, field_name))
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if res:
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return list(res)
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else:
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return []
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def get_correlation_obj_domain(self, field_name, correlation_type=None):
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'''
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Return all domain correlation of a given correlation_value.
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:param field_name: field_name
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:param correlation_type: list of correlation types
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:type correlation_type: list, optional
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:return: a dictionnary of all the requested correlations
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:rtype: list
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'''
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correlation_type = self.sanythise_correlation_types(correlation_type)
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for correl in correlation_type:
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res = self._get_correlation_obj_domain(field_name, correl)
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if res:
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return res
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return []
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def _get_item_correlation_obj(self, item_id, correlation_type):
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'''
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Return correlation of a given item id.
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:param item_id: item id
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:type item_id: str
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:param correlation_type: correlation type
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:type correlation_type: str
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:return: a list of correlation
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:rtype: list
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'''
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res = r_serv_metadata.smembers('item_{}_{}:{}'.format(self.correlation_name, correlation_type, item_id))
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if res:
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return list(res)
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else:
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return []
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def get_item_correlation_dict(self, item_id, correlation_type=None, get_nb=False):
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'''
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Return all correlation of a given item id.
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:param item_id: item id
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:param correlation_type: list of correlation types
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:type correlation_type: list, optional
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:return: a dictionnary of all the requested correlations
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:rtype: dict
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'''
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correlation_type = self.sanythise_correlation_types(correlation_type)
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dict_correlation = {}
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for correl in correlation_type:
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res = self._get_item_correlation_obj(item_id, correl)
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if res:
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dict_correlation[correl] = res
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if get_nb:
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dict_correlation['nb'] = dict_correlation.get('nb', 0) + len(dict_correlation[correl])
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return dict_correlation
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def get_correlation_all_object(self, correlation_type, correlation_value, correlation_objects=[]):
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if not correlation_objects:
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correlation_objects = get_all_correlation_objects()
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correlation_obj = {}
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for correlation_object in correlation_objects:
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if correlation_object == 'paste':
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res = self._get_items(correlation_type, correlation_value)
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elif correlation_object == 'domain':
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res = self.get_correlation_obj_domain(correlation_value, correlation_type=correlation_type)
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else:
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res = None
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if res:
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correlation_obj[correlation_object] = res
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return correlation_obj
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def update_correlation_daterange(self, subtype, obj_id, date):
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date = int(date)
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# obj_id don't exit
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if not r_serv_metadata.exists('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id)):
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r_serv_metadata.hset('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'first_seen', date)
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r_serv_metadata.hset('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'last_seen', date)
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else:
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first_seen = self.get_correlation_last_seen(subtype, obj_id, r_int=True)
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last_seen = self.get_correlation_first_seen(subtype, obj_id, r_int=True)
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if date < first_seen:
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r_serv_metadata.hset('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'first_seen', date)
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if date > last_seen:
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r_serv_metadata.hset('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id), 'last_seen', date)
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def save_item_correlation(self, subtype, obj_id, item_id, item_date):
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self.update_correlation_daterange(subtype, obj_id, item_date)
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# global set
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r_serv_metadata.sadd('set_{}_{}:{}'.format(self.correlation_name, subtype, obj_id), item_id)
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# daily
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r_serv_metadata.hincrby('{}:{}:{}'.format(self.correlation_name, subtype, item_date), obj_id, 1)
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# all type
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r_serv_metadata.zincrby('{}_all:{}'.format(self.correlation_name, subtype), obj_id, 1)
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## object_metadata
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# item
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r_serv_metadata.sadd('item_{}_{}:{}'.format(self.correlation_name, subtype, item_id), obj_id)
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# domain
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if Item.is_crawled(item_id):
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domain = Item.get_item_domain(item_id)
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self.save_domain_correlation(domain, subtype, obj_id)
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def delete_item_correlation(self, subtype, obj_id, item_id, item_date):
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#self.update_correlation_daterange(subtype, obj_id, item_date) update daterange ! # # TODO:
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r_serv_metadata.srem('set_{}_{}:{}'.format(self.correlation_name, subtype, obj_id), item_id)
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r_serv_metadata.srem('item_{}_{}:{}'.format(self.correlation_name, subtype, item_id), obj_id)
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res = r_serv_metadata.hincrby('{}:{}:{}'.format(self.correlation_name, subtype, item_date), obj_id, -1)
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if int(res) < 0: # remove last
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r_serv_metadata.hdel('{}:{}:{}'.format(self.correlation_name, subtype, item_date), obj_id)
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res = r_serv_metadata.zscore('{}_all:{}'.format(self.correlation_name, subtype), obj_id)
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if int(res) > 0:
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r_serv_metadata.zincrby('{}_all:{}'.format(self.correlation_name, subtype), obj_id, -1)
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def save_domain_correlation(self, domain, subtype, obj_id):
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r_serv_metadata.sadd('domain_{}_{}:{}'.format(self.correlation_name, subtype, domain), obj_id)
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r_serv_metadata.sadd('set_domain_{}_{}:{}'.format(self.correlation_name, subtype, obj_id), domain)
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def delete_domain_correlation(self, domain, subtype, obj_id):
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r_serv_metadata.srem('domain_{}_{}:{}'.format(self.correlation_name, subtype, domain), obj_id)
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r_serv_metadata.srem('set_domain_{}_{}:{}'.format(self.correlation_name, subtype, obj_id), domain)
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def save_correlation(self, subtype, obj_id, date_range):
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r_serv_metadata.zincrby('{}_all:{}'.format(self.correlation_name, subtype), obj_id, 0)
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self.update_correlation_daterange(subtype, obj_id, date_range['date_from'])
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if date_range['date_from'] != date_range['date_to']:
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self.update_correlation_daterange(subtype, obj_id, date_range['date_to'])
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return True
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def save_obj_relationship(self, subtype, obj_id, obj2_type, obj2_id):
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if obj2_type == 'domain':
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self.save_domain_correlation(obj2_id, subtype, obj_id)
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elif obj2_type == 'item':
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self.save_item_correlation(subtype, obj_id, obj2_id, Item.get_item_date(obj2_id))
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def delete_obj_relationship(self, subtype, obj_id, obj2_type, obj2_id):
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if obj2_type == 'domain':
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self.delete_domain_correlation(obj2_id, subtype, obj_id)
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elif obj2_type == 'item':
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self.delete_item_correlation(subtype, obj_id, obj2_id, Item.get_item_date(obj2_id))
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def create_correlation(self, subtype, obj_id, obj_meta):
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res = self.sanythise_correlation_types([subtype], r_boolean=True)
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if not res:
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print('invalid subtype')
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return False
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first_seen = obj_meta.get('first_seen', None)
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last_seen = obj_meta.get('last_seen', None)
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date_range = Date.sanitise_date_range(first_seen, last_seen, separator='', date_type='datetime')
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res = self.save_correlation(subtype, obj_id, date_range)
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if res and 'tags' in obj_meta:
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# # TODO: handle mixed tags: taxonomies and Galaxies
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pass
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#Tag.api_add_obj_tags(tags=obj_meta['tags'], object_id=obj_id, object_type=self.get_correlation_obj_type())
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return True
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# # TODO: handle tags
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def delete_correlation(self, subtype, obj_id):
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res = self.sanythise_correlation_types([subtype], r_boolean=True)
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if not res:
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print('invalid subtype')
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return False
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if not self.exist_correlation(subtype, obj_id):
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return False
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obj_correlations = self.get_correlation_all_object(subtype, obj_id)
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if 'domain' in obj_correlations:
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for domain in obj_correlations['domain']:
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r_serv_metadata.srem('domain_{}_{}:{}'.format(self.correlation_name, subtype, domain), obj_id)
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r_serv_metadata.delete('set_domain_{}_{}:{}'.format(self.correlation_name, subtype, obj_id))
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if 'paste' in obj_correlations: # TODO: handle item
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for item_id in obj_correlations['paste']:
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r_serv_metadata.srem('item_{}_{}:{}'.format(self.correlation_name, subtype, item_id), obj_id)
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r_serv_metadata.delete('set_{}_{}:{}'.format(self.correlation_name, subtype, obj_id))
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# delete daily correlation
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first_seen = self.get_correlation_first_seen(subtype, obj_id)
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last_seen = self.get_correlation_last_seen(subtype, obj_id)
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meta_date = Date.sanitise_date_range(first_seen, last_seen)
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date_range = Date.substract_date(meta_date['date_from'], meta_date['date_to'])
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for date_day in date_range:
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r_serv_metadata.hdel('{}:{}:{}'.format(self.correlation_name, subtype, date_day), obj_id)
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r_serv_metadata.delete('{}_metadata_{}:{}'.format(self.correlation_name, subtype, obj_id))
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r_serv_metadata.zrem('{}_all:{}'.format(self.correlation_name, subtype), obj_id)
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return True
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######## API EXPOSED ########
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######## ########
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