AIL-framework/bin/lib/objects/abstract_subtype_object.py

244 lines
7.7 KiB
Python
Executable File

# -*-coding:UTF-8 -*
"""
Base Class for AIL Objects
"""
##################################
# Import External packages
##################################
import os
import sys
from abc import ABC
# from flask import url_for
sys.path.append(os.environ['AIL_BIN'])
##################################
# Import Project packages
##################################
from lib.objects.abstract_object import AbstractObject
from lib.ail_core import get_object_all_subtypes, zscan_iter
from lib.ConfigLoader import ConfigLoader
from lib.item_basic import is_crawled, get_item_domain
from lib.data_retention_engine import update_obj_date
from packages import Date
# LOAD CONFIG
config_loader = ConfigLoader()
r_object = config_loader.get_db_conn("Kvrocks_Objects")
config_loader = None
# # TODO: ADD CORRELATION ENGINE
# # FIXME: SAVE SUBTYPE NAMES ?????
class AbstractSubtypeObject(AbstractObject, ABC):
"""
Abstract Subtype Object
"""
def __init__(self, obj_type, id, subtype):
""" Abstract for all the AIL object
:param obj_type: object type (item, ...)
:param id: Object ID
"""
self.id = id
self.type = obj_type
self.subtype = subtype
def exists(self):
return r_object.exists(f'meta:{self.type}:{self.subtype}:{self.id}')
def get_first_seen(self, r_int=False):
first_seen = r_object.hget(f'meta:{self.type}:{self.subtype}:{self.id}', 'first_seen')
if r_int:
if first_seen:
return int(first_seen)
else:
return 99999999
else:
return first_seen
def get_last_seen(self, r_int=False):
last_seen = r_object.hget(f'meta:{self.type}:{self.subtype}:{self.id}', 'last_seen')
if r_int:
if last_seen:
return int(last_seen)
else:
return 0
else:
return last_seen
def get_nb_seen(self):
nb = r_object.zscore(f'{self.type}_all:{self.subtype}', self.id)
if not nb:
nb = 0
return int(nb)
# # TODO: CHECK RESULT
def get_nb_seen_by_date(self, date_day):
nb = r_object.hget(f'{self.type}:{self.subtype}:{date_day}', self.id)
if nb is None:
return 0
else:
return int(nb)
def _get_meta(self, options=None):
if options is None:
options = set()
meta = {'id': self.id,
'type': self.type,
'subtype': self.subtype,
'first_seen': self.get_first_seen(),
'last_seen': self.get_last_seen(),
'nb_seen': self.get_nb_seen()}
if 'icon' in options:
meta['icon'] = self.get_svg_icon()
if 'link' in options:
meta['link'] = self.get_link()
if 'sparkline' in options:
meta['sparkline'] = self.get_sparkline()
return meta
def set_first_seen(self, first_seen):
r_object.hset(f'meta:{self.type}:{self.subtype}:{self.id}', 'first_seen', first_seen)
def set_last_seen(self, last_seen):
r_object.hset(f'meta:{self.type}:{self.subtype}:{self.id}', 'last_seen', last_seen)
def update_daterange(self, date):
date = int(date)
# obj don't exit
if not self.exists():
self.set_first_seen(date)
self.set_last_seen(date)
else:
first_seen = self.get_first_seen(r_int=True)
last_seen = self.get_last_seen(r_int=True)
if date < first_seen:
self.set_first_seen(date)
if date > last_seen:
self.set_last_seen(date)
def get_content(self, r_type='str'):
if r_type == 'str':
return self.id
if r_type == 'bytes':
return self.id.encode()
def get_sparkline(self):
sparkline = []
for date in Date.get_previous_date_list(6):
sparkline.append(self.get_nb_seen_by_date(date))
return sparkline
def get_graphline(self, date_from=None, date_to=None):
graphline = []
# TODO get by daterange
# if date_from and date_to:
dates = Date.get_date_range(30)
for date in dates:
nb = self.get_nb_seen_by_date(date)
date = f'{date[0:4]}-{date[4:6]}-{date[6:8]}'
graphline.append({'date': date, 'value': nb})
return graphline
#
# HANDLE Others objects ????
#
# NEW field => first record(last record)
# by subtype ??????
# => data Retention + efficient search
#
#
def _add_subtype(self):
r_object.sadd(f'all_{self.type}:subtypes', self.subtype)
def add(self, date, obj=None):
self._add_subtype()
self.update_daterange(date)
update_obj_date(date, self.type, self.subtype)
# daily
r_object.hincrby(f'{self.type}:{self.subtype}:{date}', self.id, 1)
# all subtypes
r_object.zincrby(f'{self.type}_all:{self.subtype}', 1, self.id)
#######################################################################
#######################################################################
if obj:
# Correlations
self.add_correlation(obj.type, obj.get_subtype(r_str=True), obj.get_id())
if obj.type == 'item': # TODO same for message->chat ???
item_id = obj.get_id()
# domain
if is_crawled(item_id):
domain = get_item_domain(item_id)
self.add_correlation('domain', '', domain)
# TODO:ADD objects + Stats
def create(self, first_seen, last_seen):
self.set_first_seen(first_seen)
self.set_last_seen(last_seen)
def _delete(self):
pass
def get_all_id(obj_type, subtype):
return r_object.zrange(f'{obj_type}_all:{subtype}', 0, -1)
def get_all_id_iterator(obj_type, subtype):
return zscan_iter(r_object, f'{obj_type}_all:{subtype}')
def get_subtypes_objs_by_date(obj_type, subtype, date):
return r_object.hkeys(f'{obj_type}:{subtype}:{date}')
def get_subtypes_objs_by_daterange(obj_type, date_from, date_to, subtype=None):
if subtype:
subtypes = [subtype]
else:
subtypes = get_object_all_subtypes(obj_type)
objs = set()
for date in Date.get_daterange(date_from, date_to):
for subtype in subtypes:
for obj_id in get_subtypes_objs_by_date(obj_type, subtype, date):
objs.add((obj_type, subtype, obj_id))
return objs
def get_subtypes_objs_range_json(obj_type, date_from, date_to):
objs_range = []
dates = Date.get_daterange(date_from, date_to)
if len(dates) == 1:
dict_subtype = {}
subtypes = get_object_all_subtypes(obj_type)
for subtype in subtypes:
dict_subtype[subtype] = 0
for subtype in get_object_all_subtypes(obj_type):
day_dict = dict_subtype.copy()
day_dict['date'] = subtype
# if don't filter duplicates
# nb = 0
# for val in r_object.hvals(f'{obj_type}:{subtype}:{dates[0]}'):
# nb += int(val)
# day_dict[subtype] = nb
day_dict[subtype] = r_object.hlen(f'{obj_type}:{subtype}:{dates[0]}')
objs_range.append(day_dict)
else:
subtypes = get_object_all_subtypes(obj_type)
for date in dates:
day_dict = {'date': f'{date[0:4]}-{date[4:6]}-{date[6:8]}'}
for subtype in subtypes:
# if don't filter duplicates
# nb = 0
# for val in r_object.hvals(f'{obj_type}:{subtype}:{date}'):
# nb += int(val)
# day_dict[subtype] = nb
day_dict[subtype] = r_object.hlen(f'{obj_type}:{subtype}:{date}')
objs_range.append(day_dict)
return objs_range