def get(self):
"""Handles getting page states."""
state_id = self.request.get('sid')
if not state_id:
self.ReportError('Missing required parameters.', status=400)
return
state = ndb.Key(page_state.PageState, state_id).get()
if not state:
self.ReportError('Invalid sid.', status=400)
return
if self.request.get('v2', None) is None:
self.response.out.write(state.value)
return
if state.value_v2 is None:
state.value_v2 = _Upgrade(state.value)
# If the user is not signed in, then they won't be able to see
# internal_only TestMetadata, so value_v2 will be incomplete.
# If the user is signed in, then value_v2 is complete, so it's safe to
# store it.
if datastore_hooks.IsUnalteredQueryPermitted():
state.put()
self.response.out.write(state.value_v2)
def _AuthorizeAppEngineUser():
user = users.get_current_user()
if not user:
raise NotLoggedInError
# For now we only allow internal users access to the API.
if not datastore_hooks.IsUnalteredQueryPermitted():
raise InternalOnlyError
def _Request(endpoint, params):
"""Sends a request to an endpoint and returns JSON data."""
assert datastore_hooks.IsUnalteredQueryPermitted()
return request.RequestJson(endpoint,
method='POST',
use_cache=False,
use_auth=True,
**params)
def _post_get_hook(cls, key, future): # pylint: disable=unused-argument
"""Throws an exception when external users try to get() internal data."""
entity = future.get_result()
if entity is None:
return
# Internal-only objects should never be accessed by non-internal accounts!
if (getattr(entity, 'internal_only', False)
and not datastore_hooks.IsUnalteredQueryPermitted()):
# Keep info about the fact that we're doing an access check out of the
# callstack in case app engine shows it to the user.
assert False
def _Request(endpoint, params):
"""Sends a request to an endpoint and returns JSON data."""
assert datastore_hooks.IsUnalteredQueryPermitted()
http_auth = utils.ServiceAccountHttp()
_, content = http_auth.request(_PINPOINT_URL + endpoint,
method='POST',
body=urllib.urlencode(params),
headers={'Content-length': 0})
return json.loads(content)
def _Request(endpoint, params):
"""Sends a request to an endpoint and returns JSON data."""
assert datastore_hooks.IsUnalteredQueryPermitted()
try:
return request.RequestJson(endpoint,
method='POST',
use_cache=False,
use_auth=True,
**params)
except request.RequestError as e:
return json.loads(e.content)
def SetCacheAsync(test_path, rows):
# This first set generally only sets the internal-only cache.
futures = [namespaced_stored_object.SetAsync(_CACHE_KEY % test_path, rows)]
# If this is an internal_only query for externally available data,
# set the cache for that too.
if datastore_hooks.IsUnalteredQueryPermitted():
test = utils.TestKey(test_path).get()
if test and not test.internal_only:
futures.append(
namespaced_stored_object.SetExternalAsync(
_CACHE_KEY % test_path, rows))
yield futures
def AuthorizedPost(self, *args):
"""Returns timeseries data in response to API requests.
Argument:
test_path: Full path of test timeseries
Outputs:
JSON timeseries data for the test_path, see README.md.
"""
try:
days = int(self.request.get('num_days', 30))
except ValueError:
raise api_request_handler.BadRequestError(
'Invalid num_days parameter %s' % self.request.get('num_days'))
if days <= 0:
raise api_request_handler.BadRequestError(
'num_days cannot be negative (%s)' % days)
before = datetime.datetime.now() - datetime.timedelta(days=days)
test_path = args[0]
test_key = utils.TestKey(test_path)
test = test_key.get()
if not test:
raise api_request_handler.BadRequestError('Invalid test_path %s' %
test_path)
assert (datastore_hooks.IsUnalteredQueryPermitted()
or not test.internal_only)
datastore_hooks.SetSinglePrivilegedRequest()
q = graph_data.Row.query()
q = q.filter(
graph_data.Row.parent_test == utils.OldStyleTestKey(test_key))
q = q.filter(graph_data.Row.timestamp > before)
rows = q.fetch()
if not rows:
return []
revisions = [rev for rev in rows[0].to_dict() if rev.startswith('r_')]
header = ['revision', 'value', 'timestamp'] + revisions
timeseries = [header]
for row in sorted(rows, key=lambda r: r.revision):
timeseries.append([self._GetValue(row, a) for a in header])
return {
'timeseries': timeseries,
'test_path': test_path,
'revision_logs': namespaced_stored_object.Get('revision_info'),
'improvement_direction': test.improvement_direction,
}
def _UpdateRevisionMap(revision_map,
parent_test,
rev,
num_points,
start_rev=None,
end_rev=None):
"""Updates a dict of revisions to data point information for one test.
Depending on which arguments are given, there are several ways that
this function can update the dict of revisions:
1. If start_rev and end_rev are given, then revisions in this range
are used. The num_points argument is ignored.
2. Otherwise, if rev is given, then revisions before and after the
specified revision are used.
3. Otherwise, the latest revisions are used.
Args:
revision_map: A dict mapping revision numbers to dicts of point info.
Each point info dict contains information from a Row entity.
parent_test: A TestMetadata entity with Row children.
rev: The middle revision in the revision map (could be None).
num_points: The number of points to include in the revision map.
start_rev: Start revision number (optional).
end_rev: End revision number (optional).
"""
anomaly_annotation_map = _GetAnomalyAnnotationMap(parent_test.key)
assert (datastore_hooks.IsUnalteredQueryPermitted()
or not parent_test.internal_only)
if start_rev and end_rev:
rows = graph_data.GetRowsForTestInRange(parent_test.key, start_rev,
end_rev, True)
elif rev:
assert num_points
rows = graph_data.GetRowsForTestAroundRev(parent_test.key, rev,
num_points, True)
else:
assert num_points
rows = graph_data.GetLatestRowsForTest(parent_test.key,
num_points,
privileged=True)
parent_test_key = parent_test.key.urlsafe()
for row in rows:
if row.revision not in revision_map:
revision_map[row.revision] = {}
revision_map[row.revision][parent_test_key] = _PointInfoDict(
row, anomaly_annotation_map)
def SetCache(test_path, rows):
"""Sets the saved graph revisions data for a test.
Args:
test_path: A test path string.
rows: A list of [revision, value, timestamp] triplets.
"""
# This first set generally only sets the internal-only cache.
namespaced_stored_object.Set(_CACHE_KEY % test_path, rows)
# If this is an internal_only query for externally available data,
# set the cache for that too.
if datastore_hooks.IsUnalteredQueryPermitted():
test = utils.TestKey(test_path).get()
if test and not test.internal_only:
namespaced_stored_object.SetExternal(_CACHE_KEY % test_path, rows)
def get(self):
"""Gets CSV from data store and outputs it.
Request parameters:
test_path: Full test path of one trace.
rev: End revision number; if not given, latest revision is used.
num_points: Number of Rows to get data for.
attr: Comma-separated list of attributes (columns) to return.
Outputs:
CSV file contents.
"""
test_path = self.request.get('test_path')
rev = self.request.get('rev')
num_points = int(self.request.get('num_points', 500))
attributes = self.request.get('attr', 'revision,value').split(',')
if not test_path:
self.ReportError('No test path given.', status=400)
return
logging.info('Got request to /graph_csv for test: "%s".', test_path)
test_key = utils.TestKey(test_path)
test = test_key.get()
assert (datastore_hooks.IsUnalteredQueryPermitted()
or not test.internal_only)
datastore_hooks.SetSinglePrivilegedRequest()
q = graph_data.Row.query()
q = q.filter(
graph_data.Row.parent_test == utils.OldStyleTestKey(test_key))
if rev:
q = q.filter(graph_data.Row.revision <= int(rev))
q = q.order(-graph_data.Row.revision)
points = reversed(q.fetch(limit=num_points))
rows = self._GenerateRows(points, attributes)
output = StringIO.StringIO()
csv.writer(output).writerows(rows)
self.response.headers['Content-Type'] = 'text/csv'
self.response.headers['Content-Disposition'] = (
'attachment; filename=%s.csv' % test.test_name)
self.response.out.write(output.getvalue())
def _GetBug(self, *args):
# Users must log in with privileged access to see all bugs.
if not datastore_hooks.IsUnalteredQueryPermitted():
raise BadRequestError('No access.')
try:
bug_id = int(args[0])
except ValueError:
raise BadRequestError('Invalid bug ID "%s".' % args[0])
service = issue_tracker_service.IssueTrackerService(
utils.ServiceAccountHttp())
issue = service.GetIssue(bug_id)
comments = service.GetIssueComments(bug_id)
bisects = try_job.TryJob.query(try_job.TryJob.bug_id == bug_id).fetch()
return {
'author': issue.get('author', {}).get('name'),
'legacy_bisects': [{
'status': b.status,
'bot': b.bot,
'bug_id': b.bug_id,
'buildbucket_link': (
'https://chromeperf.appspot.com/buildbucket_job_status/%s' %
b.buildbucket_job_id),
'command': b.GetConfigDict()['command'],
'culprit': self._GetCulpritInfo(b),
'metric': (b.results_data or {}).get('metric'),
} for b in bisects],
'cc': [cc.get('name') for cc in issue.get('cc', [])],
'comments': [{
'content': comment.get('content'),
'author': comment.get('author'),
'published': self._FormatTimestampMilliseconds(
comment.get('published')),
} for comment in comments],
'components': issue.get('components', []),
'id': bug_id,
'labels': issue.get('labels', []),
'published': self._FormatTimestampMilliseconds(issue.get('published')),
'state': issue.get('state'),
'status': issue.get('status'),
'summary': issue.get('summary'),
}
def _InequalityFilters(cls, query, equality_properties,
inequality_property, bug_id, min_end_revision,
max_end_revision, min_start_revision,
max_start_revision, min_timestamp, max_timestamp):
# A query cannot have more than one inequality filter.
# inequality_property allows users to decide which property to filter in the
# query, which can significantly affect performance. If other inequalities
# are specified, they will be handled by post_filters.
# If callers set inequality_property without actually specifying a
# corresponding inequality filter, then reset the inequality_property and
# compute it automatically as if it were not specified.
if inequality_property == 'start_revision':
if min_start_revision is None and max_start_revision is None:
inequality_property = None
elif inequality_property == 'end_revision':
if min_end_revision is None and max_end_revision is None:
inequality_property = None
elif inequality_property == 'timestamp':
if min_timestamp is None and max_timestamp is None:
inequality_property = None
elif inequality_property == 'bug_id':
if bug_id != '*':
inequality_property = None
elif inequality_property == 'key':
if equality_properties == [
'subscription_names'
] and (min_start_revision or max_start_revision):
# Use the composite index (subscription_names, start_revision,
# -timestamp). See index.yaml.
inequality_property = 'start_revision'
else:
inequality_property = None
if inequality_property is None:
# Compute a default inequality_property.
# We prioritise the 'min' filters first because that lets us limit the
# amount of data the Datastore instances might handle.
if min_start_revision:
inequality_property = 'start_revision'
elif min_end_revision:
inequality_property = 'end_revision'
elif min_timestamp:
inequality_property = 'timestamp'
elif max_start_revision:
inequality_property = 'start_revision'
elif max_end_revision:
inequality_property = 'end_revision'
elif max_timestamp:
inequality_property = 'timestamp'
elif bug_id == '*':
inequality_property = 'bug_id'
post_filters = []
if not inequality_property:
return query, post_filters
if not datastore_hooks.IsUnalteredQueryPermitted():
# _DatastorePreHook will filter internal_only=False. index.yaml does not
# specify indexes for `internal_only, $inequality_property, -timestamp`.
# Use post_filters for all inequality properties.
inequality_property = ''
if bug_id == '*':
if inequality_property == 'bug_id':
logging.info('filter:bug_id!=None')
query = query.filter(cls.bug_id != None).order(cls.bug_id)
else:
logging.info('post_filter:bug_id!=None')
post_filters.append(lambda a: a.bug_id != None)
# Apply the min filters before the max filters, because that lets us
# optimise the query application for more recent data, reducing the amount
# of data post-processing.
if min_start_revision:
min_start_revision = int(min_start_revision)
if inequality_property == 'start_revision':
logging.info('filter:min_start_revision=%d',
min_start_revision)
query = query.filter(cls.start_revision >= min_start_revision)
query = query.order(cls.start_revision)
else:
logging.info('post_filter:min_start_revision=%d',
min_start_revision)
post_filters.append(
lambda a: a.start_revision >= min_start_revision)
if min_end_revision:
min_end_revision = int(min_end_revision)
if inequality_property == 'end_revision':
logging.info('filter:min_end_revision=%d', min_end_revision)
query = query.filter(cls.end_revision >= min_end_revision)
query = query.order(cls.end_revision)
else:
logging.info('post_filter:min_end_revision=%d',
min_end_revision)
post_filters.append(
lambda a: a.end_revision >= min_end_revision)
if min_timestamp:
if inequality_property == 'timestamp':
logging.info('filter:min_timestamp=%d',
time.mktime(min_timestamp.utctimetuple()))
query = query.filter(cls.timestamp >= min_timestamp)
else:
logging.info('post_filter:min_timestamp=%d',
time.mktime(min_timestamp.utctimetuple()))
post_filters.append(lambda a: a.timestamp >= min_timestamp)
if max_start_revision:
max_start_revision = int(max_start_revision)
if inequality_property == 'start_revision':
logging.info('filter:max_start_revision=%d',
max_start_revision)
query = query.filter(cls.start_revision <= max_start_revision)
query = query.order(-cls.start_revision)
else:
logging.info('post_filter:max_start_revision=%d',
max_start_revision)
post_filters.append(
lambda a: a.start_revision <= max_start_revision)
if max_end_revision:
max_end_revision = int(max_end_revision)
if inequality_property == 'end_revision':
logging.info('filter:max_end_revision=%d', max_end_revision)
query = query.filter(cls.end_revision <= max_end_revision)
query = query.order(-cls.end_revision)
else:
logging.info('post_filter:max_end_revision=%d',
max_end_revision)
post_filters.append(
lambda a: a.end_revision <= max_end_revision)
if max_timestamp:
if inequality_property == 'timestamp':
logging.info('filter:max_timestamp=%d',
time.mktime(max_timestamp.utctimetuple()))
query = query.filter(cls.timestamp <= max_timestamp)
else:
logging.info('post_filter:max_timestamp=%d',
time.mktime(max_timestamp.utctimetuple()))
post_filters.append(lambda a: a.timestamp <= max_timestamp)
return query, post_filters
def AuthorizedPost(self, *args):
"""Returns alert data in response to API requests.
Argument:
bug_id: issue id on the chromium issue tracker
Outputs:
JSON data for the bug, see README.md.
"""
# Users must log in with privileged access to see all bugs.
if not datastore_hooks.IsUnalteredQueryPermitted():
raise api_request_handler.BadRequestError('No access.')
try:
bug_id = int(args[0])
except ValueError:
raise api_request_handler.BadRequestError('Invalid bug ID "%s".' %
args[0])
try:
include_comments = api_utils.ParseBool(
self.request.get('include_comments', None))
except ValueError:
raise api_request_handler.BadRequestError(
"value of |with_comments| should be 'true' or 'false'")
service = issue_tracker_service.IssueTrackerService(
utils.ServiceAccountHttp())
issue = service.GetIssue(bug_id)
bisects = try_job.TryJob.query(try_job.TryJob.bug_id == bug_id).fetch()
def _FormatDate(d):
if not d:
return ''
return d.isoformat()
response = {
'bug': {
'author':
issue.get('author', {}).get('name'),
'owner':
issue.get('owner', {}).get('name'),
'legacy_bisects': [{
'status':
b.status,
'bot':
b.bot,
'bug_id':
b.bug_id,
'buildbucket_link':
('https://chromeperf.appspot.com/buildbucket_job_status/%s'
% b.buildbucket_job_id),
'command':
b.GetConfigDict()['command'],
'culprit':
self._GetCulpritInfo(b),
'metric': (b.results_data or {}).get('metric'),
'started_timestamp':
_FormatDate(b.last_ran_timestamp),
} for b in bisects],
'cc': [cc.get('name') for cc in issue.get('cc', [])],
'components':
issue.get('components', []),
'id':
bug_id,
'labels':
issue.get('labels', []),
'published':
issue.get('published'),
'updated':
issue.get('updated'),
'state':
issue.get('state'),
'status':
issue.get('status'),
'summary':
issue.get('summary'),
}
}
if include_comments:
comments = service.GetIssueComments(bug_id)
response['bug']['comments'] = [{
'content':
comment.get('content'),
'author':
comment.get('author'),
'published':
comment.get('published'),
} for comment in comments]
return response
def _CheckUser(self):
self._CheckIsLoggedIn()
if not datastore_hooks.IsUnalteredQueryPermitted():
raise api_request_handler.ForbiddenError()
def _InequalityFilters(cls, query, inequality_property, bug_id,
min_end_revision, max_end_revision,
min_start_revision, max_start_revision,
min_timestamp, max_timestamp):
# A query cannot have more than one inequality filter.
# inequality_property allows users to decide which property to filter in the
# query, which can significantly affect performance. If other inequalities
# are specified, they will be handled by post_filters.
# If callers set inequality_property without actually specifying a
# corresponding inequality filter, then reset the inequality_property and
# compute it automatically as if it were not specified.
if inequality_property == 'start_revision':
if min_start_revision is None and max_start_revision is None:
inequality_property = None
elif inequality_property == 'end_revision':
if min_end_revision is None and max_end_revision is None:
inequality_property = None
elif inequality_property == 'timestamp':
if min_timestamp is None and max_timestamp is None:
inequality_property = None
elif inequality_property == 'bug_id':
if bug_id != '*':
inequality_property = None
elif inequality_property != 'key':
inequality_property = None
if inequality_property is None:
# Compute a default inequality_property.
if min_start_revision or max_start_revision:
inequality_property = 'start_revision'
elif min_end_revision or max_end_revision:
inequality_property = 'end_revision'
elif min_timestamp or max_timestamp:
inequality_property = 'timestamp'
elif bug_id == '*':
inequality_property = 'bug_id'
post_filters = []
if not inequality_property:
return query, post_filters
if not datastore_hooks.IsUnalteredQueryPermitted():
# _DatastorePreHook will filter internal_only=False. index.yaml does not
# specify indexes for `internal_only, $inequality_property, -timestamp`.
# Use post_filters for all inequality properties.
inequality_property = ''
if bug_id == '*':
if inequality_property == 'bug_id':
query = query.filter(cls.bug_id != None).order(cls.bug_id)
else:
post_filters.append(lambda a: a.bug_id != None)
if min_start_revision:
min_start_revision = int(min_start_revision)
if inequality_property == 'start_revision':
logging.info('filter:min_start_revision=%d',
min_start_revision)
query = query.filter(cls.start_revision >= min_start_revision)
query = query.order(cls.start_revision)
else:
post_filters.append(
lambda a: a.start_revision >= min_start_revision)
if max_start_revision:
max_start_revision = int(max_start_revision)
if inequality_property == 'start_revision':
logging.info('filter:max_start_revision=%d',
max_start_revision)
query = query.filter(cls.start_revision <= max_start_revision)
query = query.order(-cls.start_revision)
else:
post_filters.append(
lambda a: a.start_revision <= max_start_revision)
if min_end_revision:
min_end_revision = int(min_end_revision)
if inequality_property == 'end_revision':
logging.info('filter:min_end_revision=%d', min_end_revision)
query = query.filter(cls.end_revision >= min_end_revision)
query = query.order(cls.end_revision)
else:
post_filters.append(
lambda a: a.end_revision >= min_end_revision)
if max_end_revision:
max_end_revision = int(max_end_revision)
if inequality_property == 'end_revision':
logging.info('filter:max_end_revision=%d', max_end_revision)
query = query.filter(cls.end_revision <= max_end_revision)
query = query.order(-cls.end_revision)
else:
post_filters.append(
lambda a: a.end_revision <= max_end_revision)
if min_timestamp:
if inequality_property == 'timestamp':
logging.info('filter:min_timestamp=%d',
time.mktime(min_timestamp.utctimetuple()))
query = query.filter(cls.timestamp >= min_timestamp)
else:
post_filters.append(lambda a: a.timestamp >= min_timestamp)
if max_timestamp:
if inequality_property == 'timestamp':
logging.info('filter:max_timestamp=%d',
time.mktime(max_timestamp.utctimetuple()))
query = query.filter(cls.timestamp <= max_timestamp)
else:
post_filters.append(lambda a: a.timestamp <= max_timestamp)
return query, post_filters
