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mirror of https://github.com/fork-maintainers/iceraven-browser synced 2024-11-17 15:26:23 +00:00

[fenix] Bug 1688111 - Sync visual-metrics script with mozilla-central. (https://github.com/mozilla-mobile/fenix/pull/17583)

* Sync visual-metrics script with mozilla-central.

* Use | instead of - in the error line formatting.
This commit is contained in:
Gregory Mierzwinski 2021-01-25 21:59:31 -05:00 committed by GitHub
parent 3885fcc768
commit 55566c6f9b

161
taskcluster/docker/visual-metrics/run-visual-metrics.py Normal file → Executable file
View File

@ -8,11 +8,13 @@
import argparse
import json
import logging
import os
import statistics
import subprocess
import sys
import tarfile
import time
from concurrent.futures import ProcessPoolExecutor
from functools import partial
from multiprocessing import cpu_count
@ -24,6 +26,10 @@ from jsonschema import validate
from voluptuous import ALLOW_EXTRA, Required, Schema
#: The max run time for a command (5 minutes)
MAX_TIME = 300
#: The directory where artifacts from this job will be placed.
OUTPUT_DIR = Path("/", "builds", "worker", "artifacts")
@ -34,6 +40,9 @@ class Job:
#: The name of the test.
test_name = attr.ib(type=str)
#: A unique number for the job.
count = attr.ib(type=int)
#: The extra options for this job.
extra_options = attr.ib(type=str)
@ -64,11 +73,20 @@ BROWSERTIME_SCHEMA = Schema(
[{Required("files"): {Required("video"): [str]}}], extra=ALLOW_EXTRA
)
SHOULD_ALERT = {
"ContentfulSpeedIndex": True,
"FirstVisualChange": True,
"LastVisualChange": True,
"PerceptualSpeedIndex": True,
"SpeedIndex": True,
"videoRecordingStart": False,
}
with Path("/", "builds", "worker", "performance-artifact-schema.json").open() as f:
PERFHERDER_SCHEMA = json.loads(f.read())
def run_command(log, cmd):
def run_command(log, cmd, job_count):
"""Run a command using subprocess.check_output
Args:
@ -79,13 +97,52 @@ def run_command(log, cmd):
A tuple of the process' exit status and standard output.
"""
log.info("Running command", cmd=cmd)
try:
res = subprocess.check_output(cmd)
log.info("Command succeeded", result=res)
return 0, res
except subprocess.CalledProcessError as e:
log.info("Command failed", cmd=cmd, status=e.returncode, output=e.output)
return e.returncode, e.output
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
lines = []
res = None
start = time.time()
while time.time() - start <= MAX_TIME:
time.sleep(0.1)
output = process.stdout.readline()
if output == b"" and process.poll() is not None:
break
if output:
res = output.strip()
lines.append(res.decode("utf-8", "ignore"))
else:
time.sleep(5)
if time.time() - start > MAX_TIME:
log.error(
"TEST-UNEXPECTED-FAIL | Timed out waiting for response from command",
cmd=cmd,
)
return 1, "Timed out"
rc = process.poll()
job_prefix = "[JOB-" + str(job_count) + "] "
for line in lines:
# Some output doesn't start with the levels because it comes
# from FFMPEG rather than the script itself
if line.startswith(("[INFO]", "[WARNING]", "[CRITICAL]", "[ERROR]")):
splitline = line.split(" - ")
level = splitline[0]
line = " - ".join(splitline[1:])
else:
level = "[INFO]"
newline = job_prefix + line
if level.strip() in ("[ERROR]", "[CRITICAL]"):
if rc == 0:
rc = 1
log.error("TEST-UNEXPECTED-FAIL | " + newline)
elif level == "[WARNING]":
log.warning(newline)
else:
log.info(newline)
return rc, res
def append_result(log, suites, test_name, name, result, extra_options):
@ -107,13 +164,14 @@ def append_result(log, suites, test_name, name, result, extra_options):
log.error("%s" % result)
result = 0
orig_test_name = test_name
if test_name in suites and suites[test_name]["extraOptions"] != extra_options:
missing = set(extra_options) - set(suites[test_name]["extraOptions"])
test_name = test_name + "-".join(list(missing))
subtests = suites.setdefault(
test_name,
{"name": test_name, "subtests": {}, "extraOptions": extra_options}
{"name": orig_test_name, "subtests": {}, "extraOptions": extra_options},
)["subtests"]
if name not in subtests:
@ -122,6 +180,7 @@ def append_result(log, suites, test_name, name, result, extra_options):
"replicates": [result],
"lowerIsBetter": True,
"unit": "ms",
"shouldAlert": SHOULD_ALERT[name],
}
else:
subtests[name]["replicates"].append(result)
@ -219,7 +278,7 @@ def main(log, args):
log.error(
"Could not read/extract browsertime results archive",
path=browsertime_results_path,
exc_info=True
exc_info=True,
)
return 1
log.info("Extracted browsertime results", path=browsertime_results_path)
@ -229,13 +288,12 @@ def main(log, args):
jobs_json = read_json(jobs_json_path, JOB_SCHEMA)
except Exception:
log.error(
"Could not open the jobs.json file",
path=jobs_json_path,
exc_info=True
"Could not open the jobs.json file", path=jobs_json_path, exc_info=True
)
return 1
jobs = []
count = 0
for job in jobs_json["jobs"]:
browsertime_json_path = fetch_dir / job["browsertime_json_path"]
@ -246,19 +304,22 @@ def main(log, args):
log.error(
"Could not open a browsertime.json file",
path=browsertime_json_path,
exc_info=True
exc_info=True,
)
return 1
for site in browsertime_json:
for video in site["files"]["video"]:
count += 1
jobs.append(
Job(
test_name=job["test_name"],
extra_options=len(job["extra_options"]) > 0 and
job["extra_options"] or jobs_json["extra_options"],
extra_options=len(job["extra_options"]) > 0
and job["extra_options"]
or jobs_json["extra_options"],
json_path=browsertime_json_path,
video_path=browsertime_json_path.parent / video,
count=count,
)
)
@ -286,10 +347,10 @@ def main(log, args):
)
failed_runs += 1
else:
# Python 3.5 requires a str object (not 3.6+)
res = json.loads(res.decode("utf8"))
for name, value in res.items():
append_result(log, suites, job.test_name, name, value, job.extra_options)
append_result(
log, suites, job.test_name, name, value, job.extra_options
)
suites = [get_suite(suite) for suite in suites.values()]
@ -300,23 +361,11 @@ def main(log, args):
"suites": suites,
}
# Try to get the similarity for all possible tests, this means that we
# will also get a comparison of recorded vs. live sites to check
# the on-going quality of our recordings.
try:
from similarity import calculate_similarity
for name, value in calculate_similarity(jobs_json, fetch_dir, OUTPUT_DIR).items():
if value is None:
continue
suites[0]["subtests"].append({
"name": name,
"value": value,
"replicates": [value],
"lowerIsBetter": False,
"unit": "a.u.",
})
except Exception:
log.info("Failed to calculate similarity score", exc_info=True)
# TODO: Try to get the similarity for all possible tests, this means that we
# will also get a comparison of recorded vs. live sites to check the on-going
# quality of our recordings.
# Bug 1674927 - Similarity metric is disabled until we figure out
# why it had a huge increase in run time.
# Validates the perf data complies with perfherder schema.
# The perfherder schema uses jsonschema so we can't use voluptuous here.
@ -350,18 +399,52 @@ def run_visual_metrics(job, visualmetrics_path, options):
Returns:
A returncode and a string containing the output of visualmetrics.py
"""
cmd = ["/usr/bin/python", str(visualmetrics_path), "--video", str(job.video_path)]
cmd = [
"/usr/bin/python",
str(visualmetrics_path),
"-vvv",
"--logformat",
"[%(levelname)s] - %(message)s",
"--video",
str(job.video_path),
]
cmd.extend(options)
return run_command(log, cmd)
rc, res = run_command(log, cmd, job.count)
if rc == 0:
# Python 3.5 requires a str object (not 3.6+)
res = json.loads(res.decode("utf8"))
# Ensure that none of these values are at 0 which
# is indicative of a failling test
monitored_tests = [
"contentfulspeedindex",
"lastvisualchange",
"perceptualspeedindex",
"speedindex",
]
failed_tests = []
for metric, val in res.items():
if metric.lower() in monitored_tests and val == 0:
failed_tests.append(metric)
if failed_tests:
log.error(
"TEST-UNEXPECTED-FAIL | Some visual metrics have an erroneous value of 0."
)
log.info("Tests which failed: %s" % str(failed_tests))
rc += 1
return rc, res
if __name__ == "__main__":
logging.basicConfig(format="%(levelname)s - %(message)s", level=logging.INFO)
structlog.configure(
processors=[
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.format_exc_info,
structlog.dev.ConsoleRenderer(colors=False),
],
logger_factory=structlog.stdlib.LoggerFactory(),
cache_logger_on_first_use=True,
)