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How to use test_path_parts method in tox

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timeseries.py

Source:timeseries.py

1# Copyright 2018 The Chromium Authors. All rights reserved.2# Use of this source code is governed by a BSD-style license that can be3# found in the LICENSE file.4import collections5from cli_tools.soundwave import pandas_sqlite6from core.external_modules import pandas7TABLE_NAME = 'timeseries'8COLUMN_TYPES = (9    # Index columns.10    ('test_suite', str),  # benchmark name ('loading.mobile')11    ('measurement', str),  # metric name ('timeToFirstContentfulPaint')12    ('bot', str),  # master/builder name ('ChromiumPerf.android-nexus5')13    ('test_case', str),  # story name ('Wikipedia')14    ('point_id', 'int64'),  # monotonically increasing id for time series axis15    # Other columns.16    ('value', 'float64'),  # value recorded for test_path at given point_id17    ('timestamp', 'datetime64[ns]'),  # when the value got stored on dashboard18    ('commit_pos', 'int64'),  # chromium commit position19    ('chromium_rev', str),  # git hash of chromium revision20    ('clank_rev', str),  # git hash of clank revision21    ('trace_url', str),  # URL to a sample trace.22    ('units', str),  # unit of measurement (e.g. 'ms', 'bytes')23    ('improvement_direction', str),  # good direction ('up', 'down', 'unknown')24)25COLUMNS = tuple(c for c, _ in COLUMN_TYPES)26INDEX = COLUMNS[:5]27# Copied from https://goo.gl/DzGYpW.28_CODE_TO_IMPROVEMENT_DIRECTION = {29    0: 'up',30    1: 'down',31}32TEST_PATH_PARTS = (33    'master', 'builder', 'test_suite', 'measurement', 'test_case')34# Query template to find all data points of a given test_path (i.e. fixed35# test_suite, measurement, bot, and test_case values).36_QUERY_TIME_SERIES = (37    'SELECT * FROM %s WHERE %s'38    % (TABLE_NAME, ' AND '.join('%s=?' % c for c in INDEX[:-1])))39# Required columns to request from /timeseries2 API.40_TIMESERIES2_COLS = [41    'revision',42    'revisions',43    'avg',44    'timestamp',45    'annotations']46class Key(collections.namedtuple('Key', INDEX[:-1])):47  """Uniquely identifies a single timeseries."""48  @classmethod49  def FromDict(cls, *args, **kwargs):50    kwargs = dict(*args, **kwargs)51    kwargs.setdefault('test_case', '')  # test_case is optional.52    return cls(**kwargs)53  def AsDict(self):54    return dict(zip(self._fields, self))55  def AsApiParams(self):56    """Return a dict with params for a /timeseries2 API request."""57    params = self.AsDict()58    if not params['test_case']:59      del params['test_case']  # test_case is optional.60    params['columns'] = ','.join(_TIMESERIES2_COLS)61    return params62def DataFrame(rows=None):63  return pandas_sqlite.DataFrame(COLUMN_TYPES, index=INDEX, rows=rows)64def _ParseIntValue(value, on_error=-1):65  # Try to parse as int and, in case of error, return a pre-defined value.66  try:67    return int(value)68  except Exception:69    return on_error70def _ParseConfigFromTestPath(test_path):71  if isinstance(test_path, Key):72    return test_path.AsDict()73  values = test_path.split('/', len(TEST_PATH_PARTS) - 1)74  if len(values) < len(TEST_PATH_PARTS):75    values.append('')  # Possibly missing test_case.76  if len(values) != len(TEST_PATH_PARTS):77    raise ValueError(test_path)78  config = dict(zip(TEST_PATH_PARTS, values))79  config['bot'] = '%s/%s' % (config.pop('master'), config.pop('builder'))80  return config81def DataFrameFromJson(test_path, data):82  if isinstance(test_path, Key):83    return _DataFrameFromJsonV2(test_path, data)84  else:85    # TODO(crbug.com/907121): Remove when we can switch entirely to v2.86    return _DataFrameFromJsonV1(test_path, data)87def _DataFrameFromJsonV2(ts_key, data):88  rows = []89  for point in data['data']:90    point = dict(zip(_TIMESERIES2_COLS, point))91    rows.append(ts_key + (92        point['revision'],  # point_id93        point['avg'],  # value94        point['timestamp'],  # timestamp95        _ParseIntValue(point['revisions']['r_commit_pos']),  # commit_pos96        point['revisions'].get('r_chromium'),  # chromium_rev97        point['revisions'].get('r_clank'),  # clank_rev98        point['annotations'].get('a_tracing_uri'),  # trace_url99        data['units'],  # units100        data['improvement_direction'],  # improvement_direction101    ))102  return DataFrame(rows)103def _DataFrameFromJsonV1(test_path, data):104  # The dashboard API returns an empty list if there is no recent data for the105  # timeseries.106  if not data:107    return DataFrame()108  assert test_path == data['test_path']109  config = _ParseConfigFromTestPath(data['test_path'])110  config['improvement_direction'] = _CODE_TO_IMPROVEMENT_DIRECTION.get(111      data['improvement_direction'], 'unknown')112  timeseries = data['timeseries']113  # The first element in timeseries list contains header with column names.114  header = timeseries[0]115  rows = []116  # Remaining elements contain the values for each row.117  for values in timeseries[1:]:118    row = config.copy()119    row.update(zip(header, values))120    row['point_id'] = row['revision']121    row['commit_pos'] = _ParseIntValue(row['r_commit_pos'])122    row['chromium_rev'] = row.get('r_chromium')123    row['clank_rev'] = row.get('r_clank', None)124    rows.append(tuple(row.get(k) for k in COLUMNS))125  return DataFrame(rows)126def GetTimeSeries(con, test_path, extra_cond=None):127  """Get the records for all data points on the given test_path.128  Returns:129    A pandas.DataFrame with all records found.130  """131  config = _ParseConfigFromTestPath(test_path)132  params = tuple(config[c] for c in INDEX[:-1])133  query = _QUERY_TIME_SERIES134  if extra_cond is not None:135    query = ' '.join([query, extra_cond])136  return pandas.read_sql(query, con, params=params, parse_dates=['timestamp'])137def GetMostRecentPoint(con, test_path):138  """Find the record for the most recent data point on the given test_path.139  Returns:140    A pandas.Series with the record if found, or None otherwise.141  """142  df = GetTimeSeries(con, test_path, 'ORDER BY timestamp DESC LIMIT 1')...

local_extensions.py

Source:local_extensions.py

1import urllib2from cookiecutter.utils import simple_filter3@simple_filter4def test_database_url(url):5    parsed_url = urllib.parse.urlparse(url)6    test_path_parts = parsed_url.path.split("/", 1)7    test_path_parts[1] = "test_" + test_path_parts[1]8    test_path = "/".join(test_path_parts)...

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