forked from LBRYCommunity/lbry-sdk
delete unused code
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2 changed files with 0 additions and 195 deletions
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@ -1,135 +0,0 @@
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import time
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import math
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from typing import Tuple
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def calculate_elapsed(start) -> int:
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return int((time.perf_counter() - start) * 1000)
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def calculate_avg_percentiles(data) -> Tuple[int, int, int, int, int, int, int, int]:
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if not data:
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return 0, 0, 0, 0, 0, 0, 0, 0
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data.sort()
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size = len(data)
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return (
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int(sum(data) / size),
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data[0],
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data[math.ceil(size * .05) - 1],
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data[math.ceil(size * .25) - 1],
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data[math.ceil(size * .50) - 1],
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data[math.ceil(size * .75) - 1],
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data[math.ceil(size * .95) - 1],
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data[-1]
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)
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def remove_select_list(sql) -> str:
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return sql[sql.index('FROM'):]
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class APICallMetrics:
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def __init__(self, name):
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self.name = name
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# total requests received
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self.receive_count = 0
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self.cache_response_count = 0
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# millisecond timings for query based responses
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self.query_response_times = []
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self.query_intrp_times = []
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self.query_error_times = []
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self.query_python_times = []
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self.query_wait_times = []
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self.query_sql_times = [] # aggregate total of multiple SQL calls made per request
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self.individual_sql_times = [] # every SQL query run on server
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# actual queries
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self.errored_queries = set()
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self.interrupted_queries = set()
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def to_json(self):
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return {
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# total requests received
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"receive_count": self.receive_count,
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# sum of these is total responses made
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"cache_response_count": self.cache_response_count,
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"query_response_count": len(self.query_response_times),
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"intrp_response_count": len(self.query_intrp_times),
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"error_response_count": len(self.query_error_times),
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# millisecond timings for non-cache responses
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"response": calculate_avg_percentiles(self.query_response_times),
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"interrupt": calculate_avg_percentiles(self.query_intrp_times),
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"error": calculate_avg_percentiles(self.query_error_times),
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# response, interrupt and error each also report the python, wait and sql stats:
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"python": calculate_avg_percentiles(self.query_python_times),
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"wait": calculate_avg_percentiles(self.query_wait_times),
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"sql": calculate_avg_percentiles(self.query_sql_times),
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# extended timings for individual sql executions
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"individual_sql": calculate_avg_percentiles(self.individual_sql_times),
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"individual_sql_count": len(self.individual_sql_times),
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# actual queries
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"errored_queries": list(self.errored_queries),
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"interrupted_queries": list(self.interrupted_queries),
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}
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def start(self):
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self.receive_count += 1
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def cache_response(self):
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self.cache_response_count += 1
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def _add_query_timings(self, request_total_time, metrics):
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if metrics and 'execute_query' in metrics:
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sub_process_total = metrics[self.name][0]['total']
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individual_query_times = [f['total'] for f in metrics['execute_query']]
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aggregated_query_time = sum(individual_query_times)
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self.individual_sql_times.extend(individual_query_times)
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self.query_sql_times.append(aggregated_query_time)
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self.query_python_times.append(sub_process_total - aggregated_query_time)
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self.query_wait_times.append(request_total_time - sub_process_total)
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@staticmethod
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def _add_queries(query_set, metrics):
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if metrics and 'execute_query' in metrics:
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for execute_query in metrics['execute_query']:
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if 'sql' in execute_query:
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query_set.add(remove_select_list(execute_query['sql']))
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def query_response(self, start, metrics):
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self.query_response_times.append(calculate_elapsed(start))
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self._add_query_timings(self.query_response_times[-1], metrics)
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def query_interrupt(self, start, metrics):
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self.query_intrp_times.append(calculate_elapsed(start))
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self._add_queries(self.interrupted_queries, metrics)
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self._add_query_timings(self.query_intrp_times[-1], metrics)
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def query_error(self, start, metrics):
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self.query_error_times.append(calculate_elapsed(start))
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self._add_queries(self.errored_queries, metrics)
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self._add_query_timings(self.query_error_times[-1], metrics)
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class ServerLoadData:
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def __init__(self):
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self._apis = {}
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def for_api(self, name) -> APICallMetrics:
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if name not in self._apis:
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self._apis[name] = APICallMetrics(name)
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return self._apis[name]
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def to_json_and_reset(self, status):
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try:
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return {
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'api': {name: api.to_json() for name, api in self._apis.items()},
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'status': status
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}
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finally:
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self._apis = {}
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@ -1,60 +0,0 @@
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import time
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import unittest
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from lbry.wallet.server.metrics import ServerLoadData, calculate_avg_percentiles
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class TestPercentileCalculation(unittest.TestCase):
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def test_calculate_percentiles(self):
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self.assertEqual(calculate_avg_percentiles([]), (0, 0, 0, 0, 0, 0, 0, 0))
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self.assertEqual(calculate_avg_percentiles([1]), (1, 1, 1, 1, 1, 1, 1, 1))
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self.assertEqual(calculate_avg_percentiles([1, 2]), (1, 1, 1, 1, 1, 2, 2, 2))
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self.assertEqual(calculate_avg_percentiles([1, 2, 3]), (2, 1, 1, 1, 2, 3, 3, 3))
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self.assertEqual(calculate_avg_percentiles([4, 1, 2, 3]), (2, 1, 1, 1, 2, 3, 4, 4))
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self.assertEqual(calculate_avg_percentiles([1, 2, 3, 4, 5, 6]), (3, 1, 1, 2, 3, 5, 6, 6))
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self.assertEqual(calculate_avg_percentiles(
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list(range(1, 101))), (50, 1, 5, 25, 50, 75, 95, 100))
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class TestCollectingMetrics(unittest.TestCase):
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def test_happy_path(self):
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self.maxDiff = None
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load = ServerLoadData()
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search = load.for_api('search')
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self.assertEqual(search.name, 'search')
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search.start()
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search.cache_response()
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search.cache_response()
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metrics = {
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'search': [{'total': 40}],
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'execute_query': [
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{'total': 20},
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{'total': 10}
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]
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}
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for x in range(5):
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search.query_response(time.perf_counter() - 0.055 + 0.001*x, metrics)
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metrics['execute_query'][0]['total'] = 10
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metrics['execute_query'][0]['sql'] = "select lots, of, stuff FROM claim where something=1"
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search.query_interrupt(time.perf_counter() - 0.050, metrics)
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search.query_error(time.perf_counter() - 0.050, metrics)
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search.query_error(time.perf_counter() - 0.052, {})
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self.assertEqual(load.to_json_and_reset({}), {'status': {}, 'api': {'search': {
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"receive_count": 1,
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"cache_response_count": 2,
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"query_response_count": 5,
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"intrp_response_count": 1,
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"error_response_count": 2,
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"response": (53, 51, 51, 52, 53, 54, 55, 55),
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"interrupt": (50, 50, 50, 50, 50, 50, 50, 50),
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"error": (51, 50, 50, 50, 50, 52, 52, 52),
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"python": (12, 10, 10, 10, 10, 20, 20, 20),
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"wait": (12, 10, 10, 10, 12, 14, 15, 15),
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"sql": (27, 20, 20, 20, 30, 30, 30, 30),
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"individual_sql": (13, 10, 10, 10, 10, 20, 20, 20),
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"individual_sql_count": 14,
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"errored_queries": ['FROM claim where something=1'],
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"interrupted_queries": ['FROM claim where something=1'],
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}}})
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self.assertEqual(load.to_json_and_reset({}), {'status': {}, 'api': {}})
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