Files
mongo/buildscripts/util/teststats.py
2022-11-22 19:54:15 +00:00

230 lines
8.1 KiB
Python

"""Utility to support parsing a TestStat."""
from collections import defaultdict
from dataclasses import dataclass
from itertools import chain
from typing import NamedTuple, List, Callable, Optional
import requests
from requests.adapters import HTTPAdapter, Retry
from buildscripts.util.testname import split_test_hook_name, is_resmoke_hook, get_short_name_from_test_file
TASK_LEVEL_HOOKS = {"CleanEveryN"}
TESTS_STATS_S3_LOCATION = "https://mongo-test-stats.s3.amazonaws.com"
class HistoricalTestInformation(NamedTuple):
"""
Container for information about the historical runtime of a test.
test_name: Name of test.
avg_duration_pass: Average of runtime of test that passed.
num_pass: Number of times the test has passed.
num_fail: Number of times the test has failed.
"""
test_name: str
num_pass: int
num_fail: int
avg_duration_pass: float
class TestRuntime(NamedTuple):
"""
Container for the runtime of a test.
test_name: Name of test.
runtime: Average of runtime of test.
"""
test_name: str
runtime: float
@dataclass
class _RuntimeHistory:
"""
History of runtime results.
duration: Average duration of test runtime.
num_runs: Number of test runs seen.
"""
duration: float
num_runs: int
@classmethod
def empty(cls) -> "_RuntimeHistory":
"""Create an empty runtime entry."""
return cls(duration=0.0, num_runs=0)
def add_runtimes(self, duration: float, num_runs: int) -> None:
"""
Add the given duration number this history.
:param duration: Average duration to include.
:param num_runs: Number of runs to include.
"""
self.duration = _average(self.duration, self.num_runs, duration, num_runs)
self.num_runs += num_runs
def normalize_test_name(test_name: str) -> str:
"""Normalize test names that may have been run on windows or unix."""
return test_name.replace("\\", "/")
def _average(value_a: float, num_a: int, value_b: float, num_b: int) -> float:
"""Compute a weighted average of 2 values with associated numbers."""
divisor = num_a + num_b
if divisor == 0:
return 0
else:
return float(value_a * num_a + value_b * num_b) / divisor
class HistoricHookInfo(NamedTuple):
"""Historic information about a test hook."""
hook_id: str
num_pass: int
avg_duration: float
@classmethod
def from_test_stats(cls, test_stats: HistoricalTestInformation) -> "HistoricHookInfo":
"""Create an instance from a test_stats object."""
return cls(hook_id=test_stats.test_name, num_pass=test_stats.num_pass,
avg_duration=test_stats.avg_duration_pass)
def test_name(self) -> str:
"""Get the name of the test associated with this hook."""
return split_test_hook_name(self.hook_id)[0]
def hook_name(self) -> str:
"""Get the name of this hook."""
return split_test_hook_name(self.hook_id)[-1]
def is_task_level_hook(self) -> bool:
"""Determine if this hook should be counted against the task not the test."""
return self.hook_name() in TASK_LEVEL_HOOKS
class HistoricTestInfo(NamedTuple):
"""Historic information about a test."""
test_name: str
num_pass: int
avg_duration: float
hooks: List[HistoricHookInfo]
@classmethod
def from_test_stats(cls, test_stats: HistoricalTestInformation,
hooks: List[HistoricHookInfo]) -> "HistoricTestInfo":
"""Create an instance from a test_stats object."""
return cls(test_name=test_stats.test_name, num_pass=test_stats.num_pass,
avg_duration=test_stats.avg_duration_pass, hooks=hooks)
def normalized_test_name(self) -> str:
"""Get the normalized version of the test name."""
return normalize_test_name(self.test_name)
def total_hook_runtime(self,
predicate: Optional[Callable[[HistoricHookInfo], bool]] = None) -> float:
"""Get the average runtime of all the hooks associated with this test."""
if not predicate:
predicate = lambda _: True
return sum([
hook.avg_duration * (hook.num_pass // self.num_pass if self.num_pass else 1)
for hook in self.hooks if predicate(hook)
])
def total_test_runtime(self) -> float:
"""Get the average runtime of this test and it's non-task level hooks."""
return self.avg_duration + self.total_hook_runtime(lambda h: not h.is_task_level_hook())
def get_hook_overhead(self) -> float:
"""Get the average runtime of this test and it's non-task level hooks."""
return self.total_hook_runtime(lambda h: h.is_task_level_hook())
class HistoricTaskData(object):
"""Represent the test statistics for the task that is being analyzed."""
def __init__(self, historic_test_results: List[HistoricTestInfo]) -> None:
"""Initialize the TestStats with raw results from the Evergreen API."""
self.historic_test_results = historic_test_results
@staticmethod
def get_stats_from_s3(project: str, task: str, variant: str) -> List[HistoricalTestInformation]:
"""
Retrieve test stats from s3 for a given task.
:param project: Project to query.
:param task: Task to query.
:param variant: Build variant to query.
:return: A list of the Test stats for the specified task.
"""
session = requests.Session()
retries = Retry(total=5, backoff_factor=1, status_forcelist=[502, 503, 504])
session.mount('https://', HTTPAdapter(max_retries=retries))
response = session.get(f"{TESTS_STATS_S3_LOCATION}/{project}/{variant}/{task}")
data = response.json()
return [HistoricalTestInformation(**item) for item in data]
@classmethod
def from_s3(cls, project: str, task: str, variant: str) -> "HistoricTaskData":
"""
Retrieve test stats from s3 for a given task.
:param project: Project to query.
:param task: Task to query.
:param variant: Build variant to query.
:return: Test stats for the specified task.
"""
historical_test_data = cls.get_stats_from_s3(project, task, variant)
return cls.from_stats_list(historical_test_data)
@classmethod
def from_stats_list(
cls, historical_test_data: List[HistoricalTestInformation]) -> "HistoricTaskData":
"""
Build historic task data from a list of historic stats.
:param historical_test_data: A list of information about the runtime of a test.
:return: Historic task data from the list of stats.
"""
hooks = defaultdict(list)
for hook in [stat for stat in historical_test_data if is_resmoke_hook(stat.test_name)]:
historical_hook = HistoricHookInfo.from_test_stats(hook)
hooks[historical_hook.test_name()].append(historical_hook)
return cls([
HistoricTestInfo.from_test_stats(stat,
hooks[get_short_name_from_test_file(stat.test_name)])
for stat in historical_test_data if not is_resmoke_hook(stat.test_name)
])
def get_tests_runtimes(self) -> List[TestRuntime]:
"""Return the list of (test_file, runtime_in_secs) tuples ordered by decreasing runtime."""
tests = [
TestRuntime(test_name=test_stats.normalized_test_name(),
runtime=test_stats.total_test_runtime())
for test_stats in self.historic_test_results
]
return sorted(tests, key=lambda x: x.runtime, reverse=True)
def get_avg_hook_runtime(self, hook_name: str) -> float:
"""Get the average runtime for the specified hook."""
hook_instances = list(
chain.from_iterable([[hook for hook in test.hooks if hook.hook_name() == hook_name]
for test in self.historic_test_results]))
if not hook_instances:
return 0
return sum([hook.avg_duration for hook in hook_instances]) / len(hook_instances)
def __len__(self) -> int:
"""Get the number of historical entries."""
return len(self.historic_test_results)