def setUp(self):
self.maxDiff = None
self.es = ElasticSearch("http://url.com",
AppFilter(app="app_name").query())
self.index = ".measures-tsuru-{}*".format(
datetime.datetime.utcnow().strftime("%Y.%m.%d"))
def setUp(self):
self.maxDiff = None
self.es = ElasticSearch("http://url.com", AppFilter(app="app_name").query())
self.index = ".measure-tsuru-{}*".format(datetime.datetime.utcnow().strftime("%Y.%m.%d"))
class ElasticSearchTest(TestCase):
def setUp(self):
self.maxDiff = None
self.es = ElasticSearch("http://url.com",
AppFilter(app="app_name").query())
self.index = ".measures-tsuru-{}*".format(
datetime.datetime.utcnow().strftime("%Y.%m.%d"))
@patch("requests.post")
def test_cpu_max(self, post_mock):
self.es.process = Mock()
self.es.cpu_max()
url = "{}/{}/_search".format(self.es.url, self.index)
query = self.es.query("cpu_max")
query["query"]["bool"]["filter"].append(
{"range": {
"value": {
"lt": 500
}
}})
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(query))
@patch("requests.post")
def test_mem_max(self, post_mock):
self.es.process = Mock()
self.es.mem_max()
url = "{}/{}/_search".format(self.es.url, self.index)
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(self.es.query("mem_max")))
@patch("requests.post")
def test_swap(self, post_mock):
self.es.process = Mock()
self.es.swap()
url = "{}/{}/_search".format(self.es.url, self.index)
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(self.es.query("swap")))
@patch("requests.post")
def test_units(self, post_mock):
self.es.units()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {"units": {"cardinality": {"field": "host.keyword"}}}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(self.es.query("cpu_max", aggregation=aggregation)))
@patch("requests.post")
def test_requests_min(self, post_mock):
self.es.requests_min()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {"sum": {"sum": {"field": "count"}}}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(
self.es.query("response_time", aggregation=aggregation)))
@patch("requests.post")
def test_response_time(self, post_mock):
self.es.response_time()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {
"stats": {
"stats": {
"field": "value"
}
},
"percentiles": {
"percentiles": {
"field": "value"
}
}
}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(
self.es.query("response_time", aggregation=aggregation)))
@patch("requests.post")
def test_http_methods(self, post_mock):
self.es.http_methods()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {"method": {"terms": {"field": "method"}}}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(
self.es.query("response_time", aggregation=aggregation)))
@patch("requests.post")
def test_status_code(self, post_mock):
self.es.status_code()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {"status_code": {"terms": {"field": "status_code"}}}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(
self.es.query("response_time", aggregation=aggregation)))
@patch("requests.post")
def test_top_slow(self, post_mock):
self.es.top_slow()
url = "{}/{}/_search".format(self.es.url, self.index)
query = {
"query":
self.es.add_metric_filter(self.es.filtered_query, "response_time"),
"size":
0,
"aggs": {
"top": {
"terms": {
"script":
"doc['method'].value +'|-o-|'+doc['path.keyword'].value +'|-o-|'+doc['status_code'].value",
"order": {
"stats.max": "desc"
}
},
"aggs": {
"stats": {
"stats": {
"field": "value"
}
},
"percentiles": {
"percentiles": {
"field": "value"
}
},
"max": {
"top_hits": {
"sort": [{
"value": {
"order": "desc"
}
}],
"size": 1
}
}
}
}
}
}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(query))
@patch("requests.post")
def test_connections(self, post_mock):
self.es.connections()
url = "{}/{}/_search".format(self.es.url, self.index)
aggregation = {
"connection": {
"terms": {
"field": "connection.keyword"
}
}
}
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(
self.es.query("connection", aggregation=aggregation)))
@patch("requests.post")
def test_netrx(self, post_mock):
self.es.netrx()
url = "{}/{}/_search".format(self.es.url, self.index)
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(self.es.query("netrx",
aggregation=NET_AGGREGATION)))
@patch("requests.post")
def test_nettx(self, post_mock):
self.es.nettx()
url = "{}/{}/_search".format(self.es.url, self.index)
post_mock.assert_called_with(
url,
headers={'Content-Type': 'application/json'},
data=json.dumps(self.es.query("nettx",
aggregation=NET_AGGREGATION)))
def test_process(self):
data = {
"took": 86,
"timed_out": False,
"_shards": {
"total": 266,
"successful": 266,
"failed": 0
},
"hits": {
"total": 644073,
"max_score": 0,
"hits": []
},
"aggregations": {
"date": {
"buckets": [{
"key_as_string": "2015-07-21T19:35:00.000Z",
"key": 1437507300000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}, {
"key_as_string": "2015-07-21T19:36:00.000Z",
"key": 1437507360000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}]
}
}
}
expected = {
"data": {
"max": [[1437507300000, 97517568], [1437507360000, 97517568]],
"min": [[1437507300000, 97517568], [1437507360000, 97517568]],
"avg": [[1437507300000, 97517568], [1437507360000, 97517568]],
},
"min": 97517568,
"max": 97517569
}
d = self.es.process(data)
self.assertDictEqual(d, expected)
def test_process_custom_formatter(self):
data = {
"took": 86,
"timed_out": False,
"_shards": {
"total": 266,
"successful": 266,
"failed": 0
},
"hits": {
"total": 644073,
"max_score": 0,
"hits": []
},
"aggregations": {
"date": {
"buckets": [{
"key_as_string": "2015-07-21T19:35:00.000Z",
"key": 1437507300000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}, {
"key_as_string": "2015-07-21T19:36:00.000Z",
"key": 1437507360000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}]
}
}
}
expected = {
"data": {
"max": [[1437507300000, 93], [1437507360000, 93]],
"min": [[1437507300000, 93], [1437507360000, 93]],
"avg": [[1437507300000, 93], [1437507360000, 93]],
},
"min": 93,
"max": 94
}
d = self.es.process(data, formatter=lambda x: x / (1024 * 1024))
self.assertDictEqual(d, expected)
def test_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.process(data, formatter=lambda x: x / (1024 * 1024))
self.assertDictEqual(d, expected)
def test_unit_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.units_process)
self.assertDictEqual(d, expected)
def test_request_min_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.requests_min_process)
self.assertDictEqual(d, expected)
def test_connections_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.connections_process)
self.assertDictEqual(d, expected)
class ElasticSearchTest(TestCase):
def setUp(self):
self.maxDiff = None
self.es = ElasticSearch("http://url.com", AppFilter(app="app_name").query())
self.index = ".measure-tsuru-{}*".format(datetime.datetime.utcnow().strftime("%Y.%m.%d"))
@patch("requests.post")
def test_cpu_max(self, post_mock):
self.es.process = Mock()
self.es.cpu_max()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "cpu_max")
post_mock.assert_called_with(url, data=json.dumps(self.es.query()))
@patch("requests.post")
def test_mem_max(self, post_mock):
self.es.process = Mock()
self.es.mem_max()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "mem_max")
post_mock.assert_called_with(url, data=json.dumps(self.es.query()))
@patch("requests.post")
def test_swap(self, post_mock):
self.es.process = Mock()
self.es.swap()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "swap")
post_mock.assert_called_with(url, data=json.dumps(self.es.query()))
@patch("requests.post")
def test_units(self, post_mock):
self.es.units()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "cpu_max")
aggregation = {"units": {"cardinality": {"field": "host.raw"}}}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_requests_min(self, post_mock):
self.es.requests_min()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "response_time")
aggregation = {"sum": {"sum": {"field": "count"}}}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_response_time(self, post_mock):
self.es.response_time()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "response_time")
aggregation = {
"stats": {"stats": {"field": "value"}},
"percentiles": {"percentiles": {"field": "value"}}
}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_http_methods(self, post_mock):
self.es.http_methods()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "response_time")
aggregation = {"method": {"terms": {"field": "method"}}}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_status_code(self, post_mock):
self.es.status_code()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "response_time")
aggregation = {"status_code": {"terms": {"field": "status_code"}}}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_top_slow(self, post_mock):
self.es.top_slow()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "response_time")
query = {
"query": self.es.filtered_query,
"size": 0,
"aggs": {
"top": {
"terms": {
"script": "doc['method'].value +'|-o-|'+doc['path.raw'].value +'|-o-|'+doc['status_code'].value",
"order": {
"stats.max": "desc"
}
},
"aggs": {
"stats": {"stats": {"field": "value"}},
"percentiles": {"percentiles": {"field": "value"}},
"max": {
"top_hits": {
"sort": [{"value": {"order": "desc"}}],
"size": 1
}
}
}
}
}
}
post_mock.assert_called_with(url, data=json.dumps(query))
@patch("requests.post")
def test_connections(self, post_mock):
self.es.connections()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "connection")
aggregation = {"connection": {"terms": {"field": "connection.raw"}}}
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=aggregation)))
@patch("requests.post")
def test_netrx(self, post_mock):
self.es.netrx()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "netrx")
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=NET_AGGREGATION)))
@patch("requests.post")
def test_nettx(self, post_mock):
self.es.nettx()
url = "{}/{}/{}/_search".format(self.es.url, self.index, "nettx")
post_mock.assert_called_with(url, data=json.dumps(self.es.query(aggregation=NET_AGGREGATION)))
def test_process(self):
data = {
"took": 86,
"timed_out": False,
"_shards": {
"total": 266,
"successful": 266,
"failed": 0
},
"hits": {
"total": 644073,
"max_score": 0,
"hits": []
},
"aggregations": {
"date": {
"buckets": [
{
"key_as_string": "2015-07-21T19:35:00.000Z",
"key": 1437507300000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
},
{
"key_as_string": "2015-07-21T19:36:00.000Z",
"key": 1437507360000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}
]
}
}
}
expected = {
"data": {
"max": [[1437507300000, 97517568], [1437507360000, 97517568]],
"min": [[1437507300000, 97517568], [1437507360000, 97517568]],
"avg": [[1437507300000, 97517568], [1437507360000, 97517568]],
},
"min": 97517568,
"max": 97517569
}
d = self.es.process(data)
self.assertDictEqual(d, expected)
def test_process_custom_formatter(self):
data = {
"took": 86,
"timed_out": False,
"_shards": {
"total": 266,
"successful": 266,
"failed": 0
},
"hits": {
"total": 644073,
"max_score": 0,
"hits": []
},
"aggregations": {
"date": {
"buckets": [
{
"key_as_string": "2015-07-21T19:35:00.000Z",
"key": 1437507300000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
},
{
"key_as_string": "2015-07-21T19:36:00.000Z",
"key": 1437507360000,
"doc_count": 9,
"stats": {
"min": 97517568,
"max": 97517568,
"avg": 97517568
}
}
]
}
}
}
expected = {
"data": {
"max": [[1437507300000, 93], [1437507360000, 93]],
"min": [[1437507300000, 93], [1437507360000, 93]],
"avg": [[1437507300000, 93], [1437507360000, 93]],
},
"min": 93,
"max": 94
}
d = self.es.process(data, formatter=lambda x: x / (1024 * 1024))
self.assertDictEqual(d, expected)
def test_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.process(data, formatter=lambda x: x / (1024 * 1024))
self.assertDictEqual(d, expected)
def test_unit_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.units_process)
self.assertDictEqual(d, expected)
def test_request_min_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.requests_min_process)
self.assertDictEqual(d, expected)
def test_connections_process_no_aggregation(self):
data = {
"took": 1,
"timed_out": False,
"_shards": {
"total": 0,
"successful": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
expected = {'data': {}, 'max': 1, 'min': 0}
d = self.es.base_process(data, self.es.connections_process)
self.assertDictEqual(d, expected)
