monkey/envs/monkey_zoo/blackbox/analyzers/performance_analyzer.py

50 lines
2.1 KiB
Python

import logging
from datetime import timedelta
from typing import Dict
from envs.monkey_zoo.blackbox.analyzers.analyzer import Analyzer
from envs.monkey_zoo.blackbox.tests.performance.performance_test_config import \
PerformanceTestConfig
LOGGER = logging.getLogger(__name__)
class PerformanceAnalyzer(Analyzer):
def __init__(self, performance_test_config: PerformanceTestConfig, endpoint_timings: Dict[str, timedelta]):
self.performance_test_config = performance_test_config
self.endpoint_timings = endpoint_timings
def analyze_test_results(self):
# Calculate total time and check each endpoint
single_page_time_less_then_max = True
total_time = timedelta()
for endpoint, elapsed in self.endpoint_timings.items():
total_time += elapsed
if elapsed > self.performance_test_config.max_allowed_single_page_time:
single_page_time_less_then_max = False
total_time_less_then_max = total_time < self.performance_test_config.max_allowed_total_time
PerformanceAnalyzer.log_slowest_endpoints(self.endpoint_timings)
LOGGER.info(f"Total time is {str(total_time)}")
performance_is_good_enough = total_time_less_then_max and single_page_time_less_then_max
if self.performance_test_config.break_on_timeout and not performance_is_good_enough:
LOGGER.warning(
"Calling breakpoint - pausing to enable investigation of island. Type 'c' to continue once you're done "
"investigating. Type 'p timings' and 'p total_time' to see performance information."
)
breakpoint()
return performance_is_good_enough
@staticmethod
def log_slowest_endpoints(endpoint_timings, max_endpoints_to_display=100):
slow_endpoint_list = list(endpoint_timings.items())
slow_endpoint_list.sort(key=lambda x: x[1], reverse=True)
slow_endpoint_list = slow_endpoint_list[:max_endpoints_to_display]
for endpoint in slow_endpoint_list:
LOGGER.info(f"{endpoint[0]} took {str(endpoint[1])}")