chromium/tools/perf/core/results_dashboard.py

#!/usr/bin/env vpython3
# Copyright 2013 The Chromium Authors
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.

"""Functions for adding results to perf dashboard."""

# This file was copy-pasted over from:
# //build/scripts/slave/results_dashboard.py
# That file is now deprecated and this one is
# the new source of truth.

import calendar
import datetime
import json
import os
import subprocess
import sys
import time
import traceback
import zlib
import logging

import six
import six.moves.urllib.error  # pylint: disable=import-error
import six.moves.urllib.parse  # pylint: disable=import-error
import six.moves.urllib.request  # pylint: disable=import-error

if six.PY2:
  import httplib  # pylint: disable=wrong-import-order,import-error
else:
  import http.client as httplib  # pylint: disable=import-error

# TODO(crbug.com/40641687): Figure out how to get httplib2 hermetically.
import httplib2  # pylint: disable=import-error

from core import path_util

logging.basicConfig(
    level=logging.INFO,
    format='(%(levelname)s) %(asctime)s pid=%(process)d'
    '  %(module)s.%(funcName)s:%(lineno)d  %(message)s')

# The paths in the results dashboard URLs for sending results.
SEND_RESULTS_PATH = '/add_point'
SEND_HISTOGRAMS_PATH = '/add_histograms'


class SendResultException(Exception):
  pass


class SendResultsRetryException(SendResultException):
  pass


class SendResultsFatalException(SendResultException):
  pass


def LuciAuthTokenGeneratorCallback():
  args = ['luci-auth', 'token']
  p = subprocess.Popen(args,
                       stdout=subprocess.PIPE,
                       stderr=subprocess.PIPE,
                       universal_newlines=True)
  if p.wait() == 0:
    return p.stdout.read().strip()
  raise RuntimeError(
      'Error generating authentication token.\nStdout: %s\nStder:%s' %
      (p.stdout.read(), p.stderr.read()))


def SendResults(data,
                data_label,
                url,
                send_as_histograms=False,
                token_generator_callback=LuciAuthTokenGeneratorCallback,
                num_retries=4):
  """Sends results to the Chrome Performance Dashboard.

  This function tries to send the given data to the dashboard.

  Args:
    data: The data to try to send. Must be JSON-serializable.
    data_label: string name of the data to be uploaded. This is only used for
    logging purpose.
    url: Performance Dashboard URL (including schema).
    send_as_histograms: True if result is to be sent to /add_histograms.
    token_generator_callback: a callback for generating the authentication token
      to upload to perf dashboard.
      If |token_generator_callback| is not specified, it's default to
      LuciAuthTokenGeneratorCallback.
    num_retries: Number of times to retry uploading to the perf dashboard upon
      recoverable error.
  """
  start = time.time()
  all_data_uploaded = False
  data_type = ('histogram' if send_as_histograms else 'chartjson')
  dashboard_data_str = json.dumps(data)
  # When perf dashboard is overloaded, it takes sometimes to spin up new
  # instance. So sleep before retrying again. (
  # For more details, see crbug.com/867379.
  wait_before_next_retry_in_seconds = 15
  for i in range(1, num_retries + 1):
    try:
      logging.info(
          'Sending %s result of %s to dashboard (attempt %i out of %i).' %
          (data_type, data_label, i, num_retries))
      if send_as_histograms:
        _SendHistogramJson(url, dashboard_data_str, token_generator_callback)
      else:
        # TODO(eakuefner): Remove this logic once all bots use histograms.
        _SendResultsJson(url, dashboard_data_str, token_generator_callback)
      all_data_uploaded = True
      break
    except SendResultsRetryException as e:
      logging.error('Error while uploading %s data: %s' % (data_type, str(e)))
      time.sleep(wait_before_next_retry_in_seconds)
      wait_before_next_retry_in_seconds *= 2
    except SendResultsFatalException as e:
      logging.error(
          'Fatal error while uploading %s data: %s' % (data_type, str(e)))
      break
    except Exception:
      logging.error('Unexpected error while uploading %s data: %s' %
                    (data_type, traceback.format_exc()))
      break
  logging.info(
      'Time spent sending results to %s: %s' % (url, time.time() - start))
  return all_data_uploaded


def MakeHistogramSetWithDiagnostics(histograms_file,
                                    test_name, bot, buildername, buildnumber,
                                    project, buildbucket,
                                    revisions_dict, is_reference_build,
                                    perf_dashboard_machine_group, output_dir,
                                    max_bytes=0):
  """Merges Histograms, adds Diagnostics, and batches the results.

  Args:
    histograms_file: input filename
    output_dir: output directory
    max_bytes: If non-zero, tries to produce files no larger than max_bytes.
      (May generate a file that is larger than max_bytes if max_bytes is smaller
      than a single Histogram.)
  """
  add_diagnostics_args = []
  add_diagnostics_args.extend([
      '--benchmarks', test_name,
      '--bots', bot,
      '--builds', buildnumber,
      '--masters', perf_dashboard_machine_group,
      '--is_reference_build', 'true' if is_reference_build else '',
  ])

  if max_bytes:
    add_diagnostics_args.extend(['--max_bytes', max_bytes])

  build_status_url = _MakeBuildStatusUrl(
      project, buildbucket, buildername, buildnumber)
  if build_status_url:
    add_diagnostics_args.extend(['--build_urls_k', 'Build Status'])
    add_diagnostics_args.extend(['--build_urls_v', build_status_url])

  for k, v in revisions_dict.items():
    add_diagnostics_args.extend((k, v))

  add_diagnostics_args.append(histograms_file)

  # Subprocess only accepts string args
  add_diagnostics_args = [str(v) for v in add_diagnostics_args]

  add_reserved_diagnostics_path = os.path.join(
      path_util.GetChromiumSrcDir(), 'third_party', 'catapult', 'tracing',
      'bin', 'add_reserved_diagnostics')

  # This script may write multiple files to output_dir.
  output_path = os.path.join(output_dir, test_name + '.json')
  cmd = ([sys.executable, add_reserved_diagnostics_path] +
         add_diagnostics_args + ['--output_path', output_path])
  logging.info(cmd)
  subprocess.check_call(cmd)


def MakeListOfPoints(charts, bot, test_name, project, buildbucket, buildername,
                     buildnumber, supplemental_columns,
                     perf_dashboard_machine_group,
                     revisions_dict=None):
  """Constructs a list of point dictionaries to send.

  The format output by this function is the original format for sending data
  to the perf dashboard.

  Args:
    charts: A dictionary of chart names to chart data, as generated by the
        log processor classes (see process_log_utils.GraphingLogProcessor).
    bot: A string which comes from perf_id, e.g. linux-release.
    test_name: A test suite name, e.g. sunspider.
    buildername: Builder name (for stdio links).
    buildnumber: Build number (for stdio links).
    supplemental_columns: A dictionary of extra data to send with a point.
    perf_dashboard_machine_group: Builder's perf machine group.

  Returns:
    A list of dictionaries in the format accepted by the perf dashboard.
    Each dictionary has the keys "master", "bot", "test", "value", "revision".
    The full details of this format are described at http://goo.gl/TcJliv.
  """
  results = []

  for chart_name, chart_data in sorted(charts.items()):
    point_id, revision_columns = _RevisionNumberColumns(
      revisions_dict if revisions_dict is not None else chart_data, prefix='r_')

    for trace_name, trace_values in sorted(chart_data['traces'].items()):
      is_important = trace_name in chart_data.get('important', [])
      test_path = _TestPath(test_name, chart_name, trace_name)
      result = {
          'master': perf_dashboard_machine_group,
          'bot': bot,
          'test': test_path,
          'revision': point_id,
          'supplemental_columns': {}
      }

      # Add the supplemental_columns values that were passed in after the
      # calculated revision column values so that these can be overwritten.
      result['supplemental_columns'].update(revision_columns)
      result['supplemental_columns'].update(
          _GetBuildStatusUriColumn(project, buildbucket, buildername,
                                   buildnumber))
      result['supplemental_columns'].update(supplemental_columns)

      result['value'] = trace_values[0]
      result['error'] = trace_values[1]

      # Add other properties to this result dictionary if available.
      if chart_data.get('units'):
        result['units'] = chart_data['units']
      if is_important:
        result['important'] = True

      results.append(result)

  return results


def MakeDashboardJsonV1(chart_json, revision_dict, test_name, bot, project,
                        buildbucket, buildername,
                        buildnumber, supplemental_dict, is_ref,
                        perf_dashboard_machine_group):
  """Generates Dashboard JSON in the new Telemetry format.

  See http://goo.gl/mDZHPl for more info on the format.

  Args:
    chart_json: A dict containing the telmetry output.
    revision_dict: Dictionary of revisions to include, include "rev",
        which determines the point ID.
    test_name: A test suite name, e.g. sunspider.
    bot: A string which comes from perf_id, e.g. linux-release.
    buildername: Builder name (for stdio links).
    buildnumber: Build number (for stdio links).
    supplemental_dict: A dictionary of extra data to send with a point;
        this includes revisions and annotation data.
    is_ref: True if this is a reference build, False otherwise.
    perf_dashboard_machine_group: Builder's perf machine group.

  Returns:
    A dictionary in the format accepted by the perf dashboard.
  """
  if not chart_json:
    logging.error('Error: No json output from telemetry.')
    logging.error('@@@STEP_FAILURE@@@')

  point_id, versions = _RevisionNumberColumns(revision_dict, prefix='')

  supplemental = {}
  for key in supplemental_dict:
    if key.startswith('r_'):
      versions[key.replace('r_', '', 1)] = supplemental_dict[key]
    if key.startswith('a_'):
      supplemental[key.replace('a_', '', 1)] = supplemental_dict[key]

  supplemental.update(
      _GetBuildStatusUriColumn(project, buildbucket, buildername, buildnumber))

  # TODO(sullivan): The android recipe sends "test_name.reference"
  # while the desktop one just sends "test_name" for ref builds. Need
  # to figure out why.
  # https://github.com/catapult-project/catapult/issues/2046
  test_name = test_name.replace('.reference', '')

  fields = {
      'master': perf_dashboard_machine_group,
      'bot': bot,
      'test_suite_name': test_name,
      'point_id': point_id,
      'supplemental': supplemental,
      'versions': versions,
      'chart_data': chart_json,
      'is_ref': is_ref,
  }
  return fields


def _MakeBuildStatusUrl(project, buildbucket, buildername, buildnumber):
  if not (buildername and buildnumber):
    return None
  if not project:
    project = 'chrome'
  if not buildbucket:
    buildbucket = 'ci'
  return 'https://ci.chromium.org/ui/p/%s/builders/%s/%s/%s' % (
      six.moves.urllib.parse.quote(project),
      six.moves.urllib.parse.quote(buildbucket),
      six.moves.urllib.parse.quote(buildername),
      six.moves.urllib.parse.quote(str(buildnumber)))


def _GetBuildStatusUriColumn(project, buildbucket, buildername, buildnumber):
  """Gets a supplemental column containing buildbot status link."""
  url = _MakeBuildStatusUrl(project, buildbucket, buildername, buildnumber)
  if not url:
    return {}
  return _CreateLinkColumn('build_uri', 'Buildbot status page', url)


def _CreateLinkColumn(name, label, url):
  """Returns a column containing markdown link to show on dashboard."""
  return {'a_' + name: '[%s](%s)' % (label, url)}


def _GetTimestamp():
  """Get the Unix timestamp for the current time."""
  return int(calendar.timegm(datetime.datetime.utcnow().utctimetuple()))


def _RevisionNumberColumns(data, prefix):
  """Get the point id and revision-related columns from the given data.

  Args:
    data: A dict of information from one line of the log file.
    master: The name of the buildbot master.
    prefix: Prefix for revision type keys. 'r_' for non-telemetry JSON, '' for
    telemetry JSON.

  Returns:
    A tuple with the point id (which must be an int), and a dict of
    revision-related columns.
  """
  revision_supplemental_columns = {}

  # The dashboard requires points' x-values to be integers, and points are
  # ordered by these x-values. If data['rev'] can't be parsed as an int, assume
  # that it's a git commit hash and use timestamp as the x-value.
  try:
    revision = int(data['rev'])
    if revision and 300000 < revision < 1000000:
      # Assume that revision is the commit position number for the master
      # branch in the chromium/src repo.
      revision_supplemental_columns[prefix + 'commit_pos'] = revision
  except ValueError:
    logging.warning('Revision has non-integer value: "%s".', data['rev'])
    # The dashboard requires ordered integer revision numbers. If the revision
    # is not an integer or None, assume it's a git hash and send a timestamp.
    revision = _GetTimestamp()
    if data['rev'] is not None:
      revision_supplemental_columns[prefix + 'chromium'] = data['rev']

  # An explicit data['point_id'] overrides the default behavior.
  if 'point_id' in data:
    revision = int(data['point_id'])

  # For other revision data, add it if it's present and not undefined:
  for key in ['webrtc_git', 'v8_rev']:
    if key in data and data[key] != 'undefined':
      revision_supplemental_columns[prefix + key] = data[key]

  # If possible, also send the git hash.
  if 'git_revision' in data and data['git_revision'] not in [None, 'undefined']:
    revision_supplemental_columns[prefix + 'chromium'] = data['git_revision']

  return revision, revision_supplemental_columns


def _TestPath(test_name, chart_name, trace_name):
  """Get the slash-separated test path to send.

  Args:
    test: Test name. Typically, this will be a top-level 'test suite' name.
    chart_name: Name of a chart where multiple trace lines are grouped. If the
        chart name is the same as the trace name, that signifies that this is
        the main trace for the chart.
    trace_name: The "trace name" is the name of an individual line on chart.

  Returns:
    A slash-separated list of names that corresponds to the hierarchy of test
    data in the Chrome Performance Dashboard; doesn't include master or bot
    name.
  """
  # For tests run on reference builds by builds/scripts/slave/telemetry.py,
  # "_ref" is appended to the trace name. On the dashboard, as long as the
  # result is on the right chart, it can just be called "ref".
  if trace_name == chart_name + '_ref':
    trace_name = 'ref'
  chart_name = chart_name.replace('_by_url', '')

  # No slashes are allowed in the trace name.
  trace_name = trace_name.replace('/', '_')

  # The results for "test/chart" and "test/chart/*" will all be shown on the
  # same chart by the dashboard. The result with path "test/path" is considered
  # the main trace for the chart.
  test_path = '%s/%s/%s' % (test_name, chart_name, trace_name)
  if chart_name == trace_name:
    test_path = '%s/%s' % (test_name, chart_name)
  return test_path


def _SendResultsJson(url, results_json, token_generator_callback):
  """Make a HTTP POST with the given JSON to the Performance Dashboard.

  Args:
    url: URL of Performance Dashboard instance, e.g.
        "https://chromeperf.appspot.com".
    results_json: JSON string that contains the data to be sent.

  Returns:
    None if successful, or an error string if there were errors.
  """
  # When data is provided to urllib2.Request, a POST is sent instead of GET.
  # The data must be in the application/x-www-form-urlencoded format.
  data = six.moves.urllib.parse.urlencode({
      'data': results_json
  }).encode('utf-8')
  req = six.moves.urllib.request.Request(url + SEND_RESULTS_PATH, data)
  try:
    oauth_token = token_generator_callback()
    req.headers['Authorization'] = 'Bearer %s' % oauth_token

    six.moves.urllib.request.urlopen(req, timeout=60 * 5)
  except (six.moves.urllib.error.HTTPError, six.moves.urllib.error.URLError,
          httplib.HTTPException):
    error = traceback.format_exc()

    if 'HTTPError: 400' in error:
      # If the remote app rejects the JSON, it's probably malformed,
      # so we don't want to retry it.
      raise SendResultsFatalException('Discarding JSON, error:\n%s' % error)
    raise SendResultsRetryException(error)


def _SendHistogramJson(url, histogramset_json, token_generator_callback):
  """POST a HistogramSet JSON to the Performance Dashboard.

  Args:
    url: URL of Performance Dashboard instance, e.g.
        "https://chromeperf.appspot.com".
    histogramset_json: JSON string that contains a serialized HistogramSet.

    For |token_generator_callback|, see SendResults's
    documentation.

  Returns:
    None if successful, or an error string if there were errors.
  """
  try:
    oauth_token = token_generator_callback()

    data = zlib.compress(histogramset_json.encode('utf-8'))
    headers = {
        'Authorization': 'Bearer %s' % oauth_token,
        'User-Agent': 'perf-uploader/1.0'
    }

    http = httplib2.Http()

    response, content = http.request(url + SEND_HISTOGRAMS_PATH,
                                     method='POST',
                                     body=data,
                                     headers=headers)

    # A 500 is presented on an exception on the dashboard side, timeout,
    # exception, etc. The dashboard can also send back 400 and 403, we could
    # recover from 403 (auth error), but 400 is generally malformed data.
    if response.status in (403, 500):
      raise SendResultsRetryException('HTTP Response %d: %s' % (
          response.status, response.reason))
    if response.status != 200:
      raise SendResultsFatalException('HTTP Response %d: %s' % (
          response.status, response.reason))

  except httplib.ResponseNotReady:
    raise SendResultsRetryException(traceback.format_exc())
  except httplib2.HttpLib2Error:
    raise SendResultsRetryException(traceback.format_exc())

  try:
    token = json.loads(content).get('token')
    if not token:
      logging.warning(
          'Error fetching upload completion token: Badly formatted token dict.')
    else:
      logging.info('Upload completion token created. Token id: %s' % token)
  except Exception as e:  # pylint: disable=broad-except
    logging.warning('Error fetching upload completion token: %s' % e)