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Requires servo/servo#37045 for deps and config. Testing: No need for tests to test tests. Fixes: servo/servo#37041 --------- Signed-off-by: zefr0x <zer0-x.7ty50@aleeas.com>
312 lines
11 KiB
Python
312 lines
11 KiB
Python
#!/usr/bin/env python3
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at https://mozilla.org/MPL/2.0/.
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import argparse
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from functools import partial, reduce
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import json
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import operator
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import os
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import random
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import string
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from thclient import TreeherderClient, TreeherderResultSetCollection, TreeherderJobCollection
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import time
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from runner import format_result_summary
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def geometric_mean(iterable):
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filtered = list(filter(lambda x: x > 0, iterable))
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return (reduce(operator.mul, filtered)) ** (1.0 / len(filtered))
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def format_testcase_name(name):
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temp = name.replace("http://localhost:8000/page_load_test/", "")
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temp = temp.replace("http://localhost:8000/tp6/", "")
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temp = temp.split("/")[0]
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temp = temp[0:80]
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return temp
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def format_perf_data(perf_json, engine="servo"):
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suites = []
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measurement = "domComplete" # Change this to an array when we have more
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def get_time_from_nav_start(timings, measurement):
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return timings[measurement] - timings["navigationStart"]
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measurementFromNavStart = partial(get_time_from_nav_start, measurement=measurement)
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if engine == "gecko":
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name = "gecko.{}".format(measurement)
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else:
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name = measurement
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suite = {"name": name, "value": geometric_mean(map(measurementFromNavStart, perf_json)), "subtests": []}
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for testcase in perf_json:
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if measurementFromNavStart(testcase) < 0:
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value = -1
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# print('Error: test case has negative timing. Test timeout?')
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else:
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value = measurementFromNavStart(testcase)
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suite["subtests"].append({"name": format_testcase_name(testcase["testcase"]), "value": value})
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suites.append(suite)
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return {
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"performance_data": {
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# https://bugzilla.mozilla.org/show_bug.cgi?id=1271472
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"framework": {"name": "servo-perf"},
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"suites": suites,
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}
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}
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def create_resultset_collection(dataset):
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print("[DEBUG] ResultSet Collection:")
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print(dataset)
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trsc = TreeherderResultSetCollection()
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for data in dataset:
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trs = trsc.get_resultset()
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trs.add_push_timestamp(data["push_timestamp"])
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trs.add_revision(data["revision"])
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trs.add_author(data["author"])
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# TODO: figure out where type is used
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# trs.add_type(data['type'])
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revisions = []
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for rev in data["revisions"]:
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tr = trs.get_revision()
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tr.add_revision(rev["revision"])
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tr.add_author(rev["author"])
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tr.add_comment(rev["comment"])
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tr.add_repository(rev["repository"])
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revisions.append(tr)
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trs.add_revisions(revisions)
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trsc.add(trs)
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return trsc
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def create_job_collection(dataset):
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print("[DEBUG] Job Collection:")
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print(dataset)
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tjc = TreeherderJobCollection()
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for data in dataset:
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tj = tjc.get_job()
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tj.add_revision(data["revision"])
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tj.add_project(data["project"])
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tj.add_coalesced_guid(data["job"]["coalesced"])
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tj.add_job_guid(data["job"]["job_guid"])
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tj.add_job_name(data["job"]["name"])
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tj.add_job_symbol(data["job"]["job_symbol"])
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tj.add_group_name(data["job"]["group_name"])
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tj.add_group_symbol(data["job"]["group_symbol"])
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tj.add_description(data["job"]["desc"])
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tj.add_product_name(data["job"]["product_name"])
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tj.add_state(data["job"]["state"])
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tj.add_result(data["job"]["result"])
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tj.add_reason(data["job"]["reason"])
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tj.add_who(data["job"]["who"])
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tj.add_tier(data["job"]["tier"])
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tj.add_submit_timestamp(data["job"]["submit_timestamp"])
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tj.add_start_timestamp(data["job"]["start_timestamp"])
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tj.add_end_timestamp(data["job"]["end_timestamp"])
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tj.add_machine(data["job"]["machine"])
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tj.add_build_info(
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data["job"]["build_platform"]["os_name"],
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data["job"]["build_platform"]["platform"],
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data["job"]["build_platform"]["architecture"],
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)
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tj.add_machine_info(
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data["job"]["machine_platform"]["os_name"],
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data["job"]["machine_platform"]["platform"],
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data["job"]["machine_platform"]["architecture"],
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)
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tj.add_option_collection(data["job"]["option_collection"])
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for artifact_data in data["job"]["artifacts"]:
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tj.add_artifact(artifact_data["name"], artifact_data["type"], artifact_data["blob"])
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tjc.add(tj)
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return tjc
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# TODO: refactor this big function to smaller chunks
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def submit(perf_data, failures, revision, summary, engine):
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print("[DEBUG] failures:")
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print(list(map(lambda x: x["testcase"], failures)))
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author = "{} <{}>".format(revision["author"]["name"], revision["author"]["email"])
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dataset = [
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{
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# The top-most revision in the list of commits for a push.
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"revision": revision["commit"],
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"author": author,
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"push_timestamp": int(revision["author"]["timestamp"]),
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"type": "push",
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# a list of revisions associated with the resultset. There should
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# be at least one.
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"revisions": [
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{
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"comment": revision["subject"],
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"revision": revision["commit"],
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"repository": "servo",
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"author": author,
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}
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],
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}
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]
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trsc = create_resultset_collection(dataset)
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result = "success"
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# TODO: verify a failed test won't affect Perfherder visualization
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# if len(failures) > 0:
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# result = "testfailed"
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hashlen = len(revision["commit"])
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job_guid = "".join(random.choice(string.ascii_letters + string.digits) for i in range(hashlen))
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if engine == "gecko":
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project = "servo"
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job_symbol = "PLG"
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group_symbol = "SPG"
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group_name = "Servo Perf on Gecko"
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else:
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project = "servo"
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job_symbol = "PL"
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group_symbol = "SP"
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group_name = "Servo Perf"
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dataset = [
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{
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"project": project,
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"revision": revision["commit"],
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"job": {
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"job_guid": job_guid,
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"product_name": project,
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"reason": "scheduler",
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# TODO: What is `who` for?
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"who": "Servo",
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"desc": "Servo Page Load Time Tests",
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"name": "Servo Page Load Time",
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# The symbol representing the job displayed in
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# treeherder.allizom.org
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"job_symbol": job_symbol,
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# The symbol representing the job group in
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# treeherder.allizom.org
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"group_symbol": group_symbol,
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"group_name": group_name,
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# TODO: get the real timing from the test runner
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"submit_timestamp": str(int(time.time())),
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"start_timestamp": str(int(time.time())),
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"end_timestamp": str(int(time.time())),
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"state": "completed",
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"result": result, # "success" or "testfailed"
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"machine": "local-machine",
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# TODO: read platform from test result
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"build_platform": {"platform": "linux64", "os_name": "linux", "architecture": "x86_64"},
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"machine_platform": {"platform": "linux64", "os_name": "linux", "architecture": "x86_64"},
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"option_collection": {"opt": True},
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# jobs can belong to different tiers
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# setting the tier here will determine which tier the job
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# belongs to. However, if a job is set as Tier of 1, but
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# belongs to the Tier 2 profile on the server, it will still
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# be saved as Tier 2.
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"tier": 1,
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# the ``name`` of the log can be the default of "buildbot_text"
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# however, you can use a custom name. See below.
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# TODO: point this to the log when we have them uploaded to S3
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"log_references": [{"url": "TBD", "name": "test log"}],
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# The artifact can contain any kind of structured data
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# associated with a test.
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"artifacts": [
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{
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"type": "json",
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"name": "performance_data",
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# TODO: include the job_guid when the runner actually
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# generates one
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# 'job_guid': job_guid,
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"blob": perf_data,
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},
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{
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"type": "json",
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"name": "Job Info",
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# 'job_guid': job_guid,
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"blob": {
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"job_details": [{"content_type": "raw_html", "title": "Result Summary", "value": summary}]
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},
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},
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],
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# List of job guids that were coalesced to this job
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"coalesced": [],
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},
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}
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]
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tjc = create_job_collection(dataset)
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# TODO: extract this read credential code out of this function.
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cred = {"client_id": os.environ["TREEHERDER_CLIENT_ID"], "secret": os.environ["TREEHERDER_CLIENT_SECRET"]}
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client = TreeherderClient(
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server_url="https://treeherder.mozilla.org", client_id=cred["client_id"], secret=cred["secret"]
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)
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# data structure validation is automatically performed here, if validation
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# fails a TreeherderClientError is raised
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client.post_collection("servo", trsc)
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client.post_collection("servo", tjc)
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def main():
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parser = argparse.ArgumentParser(
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description=(
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"Submit Servo performance data to Perfherder. "
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"Remember to set your Treeherder credential as environment"
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" variable 'TREEHERDER_CLIENT_ID' and "
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"'TREEHERDER_CLIENT_SECRET'"
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)
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)
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parser.add_argument("perf_json", help="the output json from runner")
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parser.add_argument("revision_json", help="the json containing the servo revision data")
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parser.add_argument(
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"--engine",
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type=str,
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default="servo",
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help=("The engine to run the tests on. Currently only servo and gecko are supported."),
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)
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args = parser.parse_args()
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with open(args.perf_json, "r") as f:
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result_json = json.load(f)
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with open(args.revision_json, "r") as f:
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revision = json.load(f)
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perf_data = format_perf_data(result_json, args.engine)
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failures = list(filter(lambda x: x["domComplete"] == -1, result_json))
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summary = format_result_summary(result_json).replace("\n", "<br/>")
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submit(perf_data, failures, revision, summary, args.engine)
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print("Done!")
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if __name__ == "__main__":
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main()
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