本文整理匯總了Python中elastalert.ruletypes.FrequencyRule類的典型用法代碼示例。如果您正苦於以下問題：Python FrequencyRule類的具體用法？Python FrequencyRule怎麽用？Python FrequencyRule使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
在下文中一共展示了FrequencyRule類的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_freq_terms
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'示例2: test_freq_terms
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"示例3: test_freq_count
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示例4: test_freq
def test_freq():
events = hits(60, timestamp_field='blah', username='qlo')
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='qlo')
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='qlo')
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 == {}示例5: test_freq_out_of_order
def test_freq_out_of_order():
events = hits(60, timestamp_field='blah', username='qlo')
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': 'qlo'}] * 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示例6: test_freq
def test_freq():
events = hits(60, timestamp_field="blah", username="qlo")
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="qlo")
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="qlo")
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 == {}示例7: test_freq_out_of_order
def test_freq_out_of_order():
events = hits(60, timestamp_field="blah", username="qlo")
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": "qlo"}] * 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