Python ElastAlerter.run_rule方法代碼示例

# 需要導入模塊: from elastalert.elastalert import ElastAlerter [as 別名]
# 或者: from elastalert.elastalert.ElastAlerter import run_rule [as 別名]
    def run_elastalert(self, rule, conf, args):
        """ Creates an ElastAlert instance and run's over for a specific rule using either real or mock data. """

        # Load and instantiate rule
        load_modules(rule)
        conf['rules'] = [rule]

        # If using mock data, make sure it's sorted and find appropriate time range
        timestamp_field = rule.get('timestamp_field', '@timestamp')
        if args.json:
            if not self.data:
                return None
            try:
                self.data.sort(key=lambda x: x[timestamp_field])
                starttime = ts_to_dt(self.data[0][timestamp_field])
                endtime = self.data[-1][timestamp_field]
                endtime = ts_to_dt(endtime) + datetime.timedelta(seconds=1)
            except KeyError as e:
                print("All documents must have a timestamp and _id: %s" % (e), file=sys.stderr)
                return None

            # Create mock _id for documents if it's missing
            used_ids = []

            def get_id():
                _id = ''.join([random.choice(string.letters) for i in range(16)])
                if _id in used_ids:
                    return get_id()
                used_ids.append(_id)
                return _id

            for doc in self.data:
                doc.update({'_id': doc.get('_id', get_id())})
        else:
            endtime = ts_now()
            starttime = endtime - datetime.timedelta(days=args.days)

        # Set run_every to cover the entire time range unless count query, terms query or agg query used
        # This is to prevent query segmenting which unnecessarily slows down tests
        if not rule.get('use_terms_query') and not rule.get('use_count_query') and not rule.get('aggregation_query_element'):
            conf['run_every'] = endtime - starttime

        # Instantiate ElastAlert to use mock config and special rule
        with mock.patch('elastalert.elastalert.get_rule_hashes'):
            with mock.patch('elastalert.elastalert.load_rules') as load_conf:
                load_conf.return_value = conf
                if args.alert:
                    client = ElastAlerter(['--verbose'])
                else:
                    client = ElastAlerter(['--debug'])

        # Replace get_hits_* functions to use mock data
        if args.json:
            self.mock_elastalert(client)

        # Mock writeback to return empty results
        client.writeback_es = mock.MagicMock()
        client.writeback_es.search.return_value = {"hits": {"hits": []}}

        with mock.patch.object(client, 'writeback') as mock_writeback:
            client.run_rule(rule, endtime, starttime)

            if mock_writeback.call_count:
                print("\nWould have written the following documents to writeback index (default is elastalert_status):\n")
                for call in mock_writeback.call_args_list:
                    print("%s - %s\n" % (call[0][0], call[0][1]))

# 需要導入模塊: from elastalert.elastalert import ElastAlerter [as 別名]
# 或者: from elastalert.elastalert.ElastAlerter import run_rule [as 別名]
    def run_elastalert(self, rule, args):
        """ Creates an ElastAlert instance and run's over for a specific rule using either real or mock data. """
        # Mock configuration. Nothing here is used except run_every
        conf = {'rules_folder': 'rules',
                'run_every': datetime.timedelta(minutes=5),
                'buffer_time': datetime.timedelta(minutes=45),
                'alert_time_limit': datetime.timedelta(hours=24),
                'es_host': 'es',
                'es_port': 14900,
                'writeback_index': 'wb',
                'max_query_size': 100000,
                'old_query_limit': datetime.timedelta(weeks=1),
                'disable_rules_on_error': False}

        # Load and instantiate rule
        load_options(rule, conf)
        load_modules(rule)
        conf['rules'] = [rule]

        # If using mock data, make sure it's sorted and find appropriate time range
        timestamp_field = rule.get('timestamp_field', '@timestamp')
        if args.json:
            if not self.data:
                return
            try:
                self.data.sort(key=lambda x: x[timestamp_field])
                starttime = ts_to_dt(self.data[0][timestamp_field])
                endtime = self.data[-1][timestamp_field]
                endtime = ts_to_dt(endtime) + datetime.timedelta(seconds=1)
            except KeyError as e:
                print("All documents must have a timestamp and _id: %s" % (e), file=sys.stderr)
                return

            # Create mock _id for documents if it's missing
            used_ids = []

            def get_id():
                _id = ''.join([random.choice(string.letters) for i in range(16)])
                if _id in used_ids:
                    return get_id()
                used_ids.append(_id)
                return _id

            for doc in self.data:
                doc.update({'_id': doc.get('_id', get_id())})
        else:
            endtime = ts_now()
            starttime = endtime - datetime.timedelta(days=args.days)

        # Set run_every to cover the entire time range unless use_count_query or use_terms_query is set
        # This is to prevent query segmenting which unnecessarily slows down tests
        if not rule.get('use_terms_query') and not rule.get('use_count_query'):
            conf['run_every'] = endtime - starttime

        # Instantiate ElastAlert to use mock config and special rule
        with mock.patch('elastalert.elastalert.get_rule_hashes'):
            with mock.patch('elastalert.elastalert.load_rules') as load_conf:
                load_conf.return_value = conf
                if args.alert:
                    client = ElastAlerter(['--verbose'])
                else:
                    client = ElastAlerter(['--debug'])

        # Replace get_hits_* functions to use mock data
        if args.json:
            self.mock_elastalert(client)

        # Mock writeback for both real data and json data
        client.writeback_es = None
        with mock.patch.object(client, 'writeback') as mock_writeback:
            client.run_rule(rule, endtime, starttime)

            if mock_writeback.call_count:
                print("\nWould have written the following documents to elastalert_status:\n")
                for call in mock_writeback.call_args_list:
                    print("%s - %s\n" % (call[0][0], call[0][1]))

# 需要導入模塊: from elastalert.elastalert import ElastAlerter [as 別名]
# 或者: from elastalert.elastalert.ElastAlerter import run_rule [as 別名]
    def run_elastalert(self, rule, conf, args):
        """ Creates an ElastAlert instance and run's over for a specific rule using either real or mock data. """

        # Load and instantiate rule
        # Pass an args containing the context of whether we're alerting or not
        # It is needed to prevent unnecessary initialization of unused alerters
        load_modules_args = argparse.Namespace()
        load_modules_args.debug = not args.alert
        load_modules(rule, load_modules_args)
        conf['rules'] = [rule]

        # If using mock data, make sure it's sorted and find appropriate time range
        timestamp_field = rule.get('timestamp_field', '@timestamp')
        if args.json:
            if not self.data:
                return None
            try:
                self.data.sort(key=lambda x: x[timestamp_field])
                starttime = ts_to_dt(self.data[0][timestamp_field])
                endtime = self.data[-1][timestamp_field]
                endtime = ts_to_dt(endtime) + datetime.timedelta(seconds=1)
            except KeyError as e:
                print("All documents must have a timestamp and _id: %s" % (e), file=sys.stderr)
                if args.stop_error:
                    exit(1)
                return None

            # Create mock _id for documents if it's missing
            used_ids = []

            def get_id():
                _id = ''.join([random.choice(string.letters) for i in range(16)])
                if _id in used_ids:
                    return get_id()
                used_ids.append(_id)
                return _id

            for doc in self.data:
                doc.update({'_id': doc.get('_id', get_id())})
        else:
            if args.end:
                if args.end == 'NOW':
                    endtime = ts_now()
                else:
                    try:
                        endtime = ts_to_dt(args.end)
                    except (TypeError, ValueError):
                        self.handle_error("%s is not a valid ISO8601 timestamp (YYYY-MM-DDTHH:MM:SS+XX:00)" % (args.end))
                        exit(1)
            else:
                endtime = ts_now()
            if args.start:
                try:
                    starttime = ts_to_dt(args.start)
                except (TypeError, ValueError):
                    self.handle_error("%s is not a valid ISO8601 timestamp (YYYY-MM-DDTHH:MM:SS+XX:00)" % (args.start))
                    exit(1)
            else:
                # if days given as command line argument
                if args.days > 0:
                    starttime = endtime - datetime.timedelta(days=args.days)
                else:
                    # if timeframe is given in rule
                    if 'timeframe' in rule:
                        starttime = endtime - datetime.timedelta(seconds=rule['timeframe'].total_seconds() * 1.01)
                    # default is 1 days / 24 hours
                    else:
                        starttime = endtime - datetime.timedelta(days=1)

        # Set run_every to cover the entire time range unless count query, terms query or agg query used
        # This is to prevent query segmenting which unnecessarily slows down tests
        if not rule.get('use_terms_query') and not rule.get('use_count_query') and not rule.get('aggregation_query_element'):
            conf['run_every'] = endtime - starttime

        # Instantiate ElastAlert to use mock config and special rule
        with mock.patch('elastalert.elastalert.get_rule_hashes'):
            with mock.patch('elastalert.elastalert.load_rules') as load_conf:
                load_conf.return_value = conf
                if args.alert:
                    client = ElastAlerter(['--verbose'])
                else:
                    client = ElastAlerter(['--debug'])

        # Replace get_hits_* functions to use mock data
        if args.json:
            self.mock_elastalert(client)

        # Mock writeback to return empty results
        client.writeback_es = mock.MagicMock()
        client.writeback_es.search.return_value = {"hits": {"hits": []}}

        with mock.patch.object(client, 'writeback') as mock_writeback:
            client.run_rule(rule, endtime, starttime)

            if mock_writeback.call_count:

                if args.formatted_output:
                    self.formatted_output['writeback'] = {}
                else:
                    print("\nWould have written the following documents to writeback index (default is elastalert_status):\n")
#.........這裏部分代碼省略.........