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])}")