def test_metadata_updated(self):
"""Ensures metadata is updated."""
def json_request(*args, **kwargs):
return {'metadata': {'fingerprint': 'fingerprint', 'items': []}}
def set_metadata(*args, **kwargs):
return collections.namedtuple('operation', ['url'])(url='url')
self.mock(metadata.net, 'json_request', json_request)
self.mock(metadata.gce.Project, 'set_metadata', set_metadata)
key = models.Instance(
key=instances.get_instance_key(
'base-name',
'revision',
'zone',
'instance-name',
),
active_metadata_update=models.MetadataUpdate(metadata={
'key': 'value',
}, ),
).put()
models.InstanceGroupManager(key=key.parent(), ).put()
models.InstanceTemplateRevision(
key=key.parent().parent(),
project='project',
).put()
expected_url = 'url'
metadata.update(key)
self.assertEqual(key.get().active_metadata_update.url, expected_url)
def post(self):
"""Schedules a metadata update for the given Instance.
Params:
key: URL-safe key for a models.Instance.
"""
key = ndb.Key(urlsafe=self.request.get('key'))
assert key.kind() == 'Instance', key
metadata.update(key)
def post(self):
"""Schedules a metadata update for the given Instance.
Params:
key: URL-safe key for a models.Instance.
"""
key = ndb.Key(urlsafe=self.request.get('key'))
assert key.kind() == 'Instance', key
metadata.update(key)
def read_service(srv, path, prev_cluster_metadata):
preferred = preferred_cluster(srv["clusters"])
if preferred == 0:
srv_path = os.path.join(path, srv["preprocessed_filename"])
df = pd.read_csv(srv_path, sep="\t", index_col='time', parse_dates=True)
for c in df.columns:
df[c] = zscore(df[c])
else:
cluster = srv["clusters"][str(preferred)]
rep_metrics, df = best_column_of_cluster(srv["name"], cluster["filenames"], path, prev_cluster_metadata)
# write additional metadata about components:
# - the preferred cluster for the component (is it really necessary?)
# - the representative metrics for each cluster
with metadata.update(path) as data:
for _service in data["services"]:
if _service["name"] == srv["name"]:
if "pref_cluster" not in _service:
_service["pref_cluster"] = preferred
if preferred == 0:
continue
if "rep_metrics" not in _service["clusters"][str(preferred)]:
_service["clusters"][str(preferred)]["rep_metrics"] = rep_metrics
new_names = []
for column in df.columns:
if column.startswith(srv["name"]):
new_names.append(column)
else:
new_names.append(srv["name"] + APP_METRIC_DELIMITER + column)
df.columns = new_names
return df
def test_parent_not_found(self):
"""Ensures nothing happens when the parent doesn't exist."""
key = models.Instance(
key=instances.get_instance_key(
'base-name',
'revision',
'zone',
'instance-name',
),
active_metadata_update=models.MetadataUpdate(metadata={
'key': 'value',
}, ),
).put()
metadata.update(key)
self.failIf(key.get().active_metadata_update.url)
def test_project_unspecified(self):
"""Ensures nothing happens when project is unspecified."""
key = models.Instance(
key=instances.get_instance_key(
'base-name',
'revision',
'zone',
'instance-name',
),
active_metadata_update=models.MetadataUpdate(metadata={
'key': 'value',
}, ),
).put()
models.InstanceGroupManager(key=key.parent(), ).put()
models.InstanceTemplateRevision(key=key.parent().parent(), ).put()
metadata.update(key)
self.failIf(key.get().active_metadata_update.url)
def create_layer(self, model, l_name, l_enabled, l_metadata={}):
if self.has_layer(l_name):
raise KeyExists(l_name)
# Create the layer.
layer = Layer(mapscript.layerObj(self.ms))
# Configure the layer according to the model.
model.configure_layer(layer, l_enabled)
layer.ms.name = l_name
layer.ms.template = "foo.html"
# layer.enable()
# Add metadata.
metadata = {
"wms_srs": self.get_metadata("ows_srs"),
}
metadata.update(l_metadata)
layer.update_metadatas(metadata)
# Set default style.
layer.set_default_style(self)
def create_layer(self, model, l_name, l_enabled, l_metadata={}):
if self.has_layer(l_name):
raise KeyExists(l_name)
# Create the layer.
layer = Layer(mapscript.layerObj(self.ms))
# Configure the layer according to the model.
model.configure_layer(layer, l_enabled)
layer.ms.name = l_name
layer.ms.template = "foo.html"
# layer.enable()
# Add metadata.
metadata = {
"wms_srs": self.get_metadata("ows_srs"),
}
metadata.update(l_metadata)
layer.update_metadatas(metadata)
# Set default style.
layer.set_default_style(self)
def cluster_service(path, service, cluster_size, prev_metadata=None):
filename = os.path.join(path, service["preprocessed_filename"])
df = pd.read_csv(filename, sep="\t", index_col='time', parse_dates=True)
initial_idx = None
if prev_metadata:
initial_idx = get_initial_clustering(service["name"], prev_metadata,
df.columns)
# adjust cluster_size if an initial assigment has been found
if initial_idx is not None:
cluster_size = len(np.unique(initial_idx))
prefix = "%s/%s-cluster-%d" % (path, service["name"], cluster_size)
if os.path.exists(prefix + "_1.png"):
print("skip " + prefix)
return (None, None)
cluster_metrics, score, filenames = do_kshape(prefix, df, cluster_size,
initial_idx)
if cluster_size < 2:
# no silhouette_score for cluster size 1
return (None, None)
print("silhouette_score: %f" % score)
# protect the write access to the metadata file
metadata_lock.acquire()
with metadata.update(path) as data:
for srv in data["services"]:
if srv["name"] == service["name"]:
if "clusters" not in srv:
srv["clusters"] = {}
d = dict(silhouette_score=score,
filenames=filenames,
metrics=cluster_metrics)
srv["clusters"][cluster_size] = d
metadata_lock.release()
return (service["name"], cluster_size)
def test_not_found(self):
"""Ensures nothing happens when the entity doesn't exist."""
key = ndb.Key(models.Instance, 'fake-key')
metadata.update(key)
self.failIf(key.get())
def trigger_update(): metadata.update() return flask.Response(status = 204)
def get(self):
metadata.update()
self.response.headers['Content-Type'] = 'text/plain'
self.response.out.write('Metadata will now be updated in the background.')