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

144 lines
4.2 KiB
Python
Executable File

# -*-coding:UTF-8 -*
"""
Base Class for AIL Objects
"""
##################################
# Import External packages
##################################
import os
import sys
from abc import abstractmethod, 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.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
class AbstractDaterangeObject(AbstractObject, ABC):
"""
Abstract Subtype Object
"""
def __init__(self, obj_type, id):
""" Abstract for all the AIL object
:param obj_type: object type (item, ...)
:param id: Object ID
"""
super().__init__(obj_type, id)
def exists(self):
return r_object.exists(f'meta:{self.type}:{self.id}')
def get_first_seen(self, r_int=False):
first_seen = r_object.hget(f'meta:{self.type}:{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.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):
return self.get_nb_correlation('item')
def get_nb_seen_by_date(self, date):
nb = r_object.zscore(f'{self.type}:date:{date}', self.id)
if nb is None:
return 0
else:
return int(nb)
def _get_meta(self, options=[]):
meta_dict = {'first_seen': self.get_first_seen(),
'last_seen': self.get_last_seen(),
'nb_seen': self.get_nb_seen()}
if 'sparkline' in options:
meta_dict['sparkline'] = self.get_sparkline()
return meta_dict
def set_first_seen(self, first_seen):
r_object.hset(f'meta:{self.type}:{self.id}', 'first_seen', first_seen)
def set_last_seen(self, last_seen):
r_object.hset(f'meta:{self.type}:{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_sparkline(self):
sparkline = []
for date in Date.get_previous_date_list(6):
sparkline.append(self.get_nb_seen_by_date(date))
return sparkline
def _add_create(self):
r_object.sadd(f'{self.type}:all', self.id)
# TODO don't increase nb if same hash in item with different encoding
# if hash already in item
def _add(self, date, item_id):
if not self.exists():
self._add_create(date)
self.set_first_seen(date)
self.set_last_seen(date)
else:
self.update_daterange(date)
update_obj_date(date, self.type)
# NB Object seen by day
if not self.is_correlated('item', '', item_id): # if decoded not already in object
r_object.zincrby(f'{self.type}:date:{date}', 1, self.id)
# Correlations
self.add_correlation('item', '', item_id)
if is_crawled(item_id): # Domain
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)
r_object.sadd(f'{self.type}:all', self.id)
# TODO
def _delete(self):
pass