Exemple #1
0
def test_freq_terms():
    rules = {'num_events': 10,
             'timeframe': datetime.timedelta(hours=1),
             'query_key': 'username'}
    rule = FrequencyRule(rules)

    terms1 = {ts_to_dt('2014-01-01T00:01:00Z'): [{'key': 'userA', 'doc_count': 1},
                                                 {'key': 'userB', 'doc_count': 5}]}
    terms2 = {ts_to_dt('2014-01-01T00:10:00Z'): [{'key': 'userA', 'doc_count': 8},
                                                 {'key': 'userB', 'doc_count': 5}]}
    terms3 = {ts_to_dt('2014-01-01T00:25:00Z'): [{'key': 'userA', 'doc_count': 3},
                                                 {'key': 'userB', 'doc_count': 0}]}
    # Initial data
    rule.add_terms_data(terms1)
    assert len(rule.matches) == 0

    # Match for user B
    rule.add_terms_data(terms2)
    assert len(rule.matches) == 1
    assert rule.matches[0].get('username') == 'userB'

    # Match for user A
    rule.add_terms_data(terms3)
    assert len(rule.matches) == 2
    assert rule.matches[1].get('username') == 'userA'
Exemple #2
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def test_freq_terms():
    rules = {"num_events": 10, "timeframe": datetime.timedelta(hours=1), "query_key": "username"}
    rule = FrequencyRule(rules)

    terms1 = {ts_to_dt("2014-01-01T00:01:00Z"): [{"key": "userA", "doc_count": 1}, {"key": "userB", "doc_count": 5}]}
    terms2 = {ts_to_dt("2014-01-01T00:10:00Z"): [{"key": "userA", "doc_count": 8}, {"key": "userB", "doc_count": 5}]}
    terms3 = {ts_to_dt("2014-01-01T00:25:00Z"): [{"key": "userA", "doc_count": 3}, {"key": "userB", "doc_count": 0}]}
    # Initial data
    rule.add_terms_data(terms1)
    assert len(rule.matches) == 0

    # Match for user B
    rule.add_terms_data(terms2)
    assert len(rule.matches) == 1
    assert rule.matches[0].get("username") == "userB"

    # Match for user A
    rule.add_terms_data(terms3)
    assert len(rule.matches) == 2
    assert rule.matches[1].get("username") == "userA"
def test_freq_count():
    rules = {
        'num_events': 100,
        'timeframe': datetime.timedelta(hours=1),
        'use_count_query': True
    }
    # Normal match
    rule = FrequencyRule(rules)
    rule.add_count_data({ts_to_dt('2014-10-10T00:00:00'): 75})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:15:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:25:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:45:00'): 6})
    assert len(rule.matches) == 1

    # First data goes out of timeframe first
    rule = FrequencyRule(rules)
    rule.add_count_data({ts_to_dt('2014-10-10T00:00:00'): 75})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:45:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:55:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T01:05:00'): 6})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T01:00:00'): 75})
    assert len(rule.matches) == 1
def test_freq():
    events = hits(60, timestamp_field='blah', username='******')
    rules = {
        'num_events': 59,
        'timeframe': datetime.timedelta(hours=1),
        'timestamp_field': 'blah'
    }
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Test wit query_key
    events = hits(60, timestamp_field='blah', username='******')
    rules['query_key'] = 'username'
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Doesn't match
    events = hits(60, timestamp_field='blah', username='******')
    rules['num_events'] = 61
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 0

    # garbage collection
    assert 'qlo' in rule.occurrences
    rule.garbage_collect(ts_to_dt('2014-09-28T12:0:0'))
    assert rule.occurrences == {}
def test_freq_out_of_order():
    events = hits(60, timestamp_field='blah', username='******')
    rules = {
        'num_events': 59,
        'timeframe': datetime.timedelta(hours=1),
        'timestamp_field': 'blah'
    }
    rule = FrequencyRule(rules)
    rule.add_data(events[:10])
    assert len(rule.matches) == 0

    # Try to add events from before the first occurrence
    rule.add_data([{
        'blah': ts_to_dt('2014-09-26T11:00:00'),
        'username': '******'
    }] * 50)
    assert len(rule.matches) == 0

    rule.add_data(events[15:20])
    assert len(rule.matches) == 0
    rule.add_data(events[10:15])
    assert len(rule.matches) == 0
    rule.add_data(events[20:55])
    rule.add_data(events[57:])
    assert len(rule.matches) == 0
    rule.add_data(events[55:57])
    assert len(rule.matches) == 1
def test_freq_count():
    rules = {'num_events': 100,
             'timeframe': datetime.timedelta(hours=1),
             'use_count_query': True}
    # Normal match
    rule = FrequencyRule(rules)
    rule.add_count_data({ts_to_dt('2014-10-10T00:00:00'): 75})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:15:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:25:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:45:00'): 6})
    assert len(rule.matches) == 1

    # First data goes out of timeframe first
    rule = FrequencyRule(rules)
    rule.add_count_data({ts_to_dt('2014-10-10T00:00:00'): 75})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:45:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T00:55:00'): 10})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T01:05:00'): 6})
    assert len(rule.matches) == 0
    rule.add_count_data({ts_to_dt('2014-10-10T01:00:00'): 75})
    assert len(rule.matches) == 1
def test_freq():
    events = hits(60, timestamp_field='blah', username='******')
    rules = {'num_events': 59,
             'timeframe': datetime.timedelta(hours=1),
             'timestamp_field': 'blah'}
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Test wit query_key
    events = hits(60, timestamp_field='blah', username='******')
    rules['query_key'] = 'username'
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Doesn't match
    events = hits(60, timestamp_field='blah', username='******')
    rules['num_events'] = 61
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 0

    # garbage collection
    assert 'qlo' in rule.occurrences
    rule.garbage_collect(ts_to_dt('2014-09-28T12:0:0'))
    assert rule.occurrences == {}
def test_freq_out_of_order():
    events = hits(60, timestamp_field='blah', username='******')
    rules = {'num_events': 59,
             'timeframe': datetime.timedelta(hours=1),
             'timestamp_field': 'blah'}
    rule = FrequencyRule(rules)
    rule.add_data(events[:10])
    assert len(rule.matches) == 0

    # Try to add events from before the first occurrence
    rule.add_data([{'blah': ts_to_dt('2014-09-26T11:00:00'), 'username': '******'}] * 50)
    assert len(rule.matches) == 0

    rule.add_data(events[15:20])
    assert len(rule.matches) == 0
    rule.add_data(events[10:15])
    assert len(rule.matches) == 0
    rule.add_data(events[20:55])
    rule.add_data(events[57:])
    assert len(rule.matches) == 0
    rule.add_data(events[55:57])
    assert len(rule.matches) == 1
Exemple #9
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def test_freq():
    events = hits(60, timestamp_field="blah", username="******")
    rules = {"num_events": 59, "timeframe": datetime.timedelta(hours=1), "timestamp_field": "blah"}
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Test wit query_key
    events = hits(60, timestamp_field="blah", username="******")
    rules["query_key"] = "username"
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 1

    # Doesn't match
    events = hits(60, timestamp_field="blah", username="******")
    rules["num_events"] = 61
    rule = FrequencyRule(rules)
    rule.add_data(events)
    assert len(rule.matches) == 0

    # garbage collection
    assert "qlo" in rule.occurrences
    rule.garbage_collect(ts_to_dt("2014-09-28T12:0:0"))
    assert rule.occurrences == {}
Exemple #10
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def test_freq_out_of_order():
    events = hits(60, timestamp_field="blah", username="******")
    rules = {"num_events": 59, "timeframe": datetime.timedelta(hours=1), "timestamp_field": "blah"}
    rule = FrequencyRule(rules)
    rule.add_data(events[:10])
    assert len(rule.matches) == 0

    # Try to add events from before the first occurrence
    rule.add_data([{"blah": ts_to_dt("2014-09-26T11:00:00"), "username": "******"}] * 50)
    assert len(rule.matches) == 0

    rule.add_data(events[15:20])
    assert len(rule.matches) == 0
    rule.add_data(events[10:15])
    assert len(rule.matches) == 0
    rule.add_data(events[20:55])
    rule.add_data(events[57:])
    assert len(rule.matches) == 0
    rule.add_data(events[55:57])
    assert len(rule.matches) == 1