def ready_client(reactor, netloc, topic):
"""
Connect to a Kafka broker and wait for the named topic to exist.
This assumes that ``auto.create.topics.enable`` is set in the broker
configuration.
:raises: `KafkaUnavailableError` if unable to connect.
"""
client = KafkaClient(netloc, reactor=reactor)
e = True
while e:
yield client.load_metadata_for_topics(topic)
e = client.metadata_error_for_topic(topic)
if e:
log.info("Error getting metadata for topic %r: %s (will retry)",
topic, e)
defer.returnValue(client)
def ready_client(reactor, netloc, topic):
"""
Connect to a Kafka broker and wait for the named topic to exist.
This assumes that ``auto.create.topics.enable`` is set in the broker
configuration.
:raises: `KafkaUnavailableError` if unable to connect.
"""
client = KafkaClient(netloc, reactor=reactor)
e = True
while e:
yield client.load_metadata_for_topics(topic)
e = client.metadata_error_for_topic(topic)
if e:
log.info("Error getting metadata for topic %r: %s (will retry)",
topic, e)
defer.returnValue(client)
class ConsumerExample(object):
def __init__(self, consul_endpoint, topic="voltha.heartbeat", runtime=60):
self.topic = topic
self.runtime = runtime
self.kafka_endpoint = get_endpoint_from_consul(consul_endpoint,
'kafka')
self._client = KafkaClient(self.kafka_endpoint)
self._consumer_list = [] # List of consumers
# List of deferred returned from consumers' start() methods
self._consumer_d_list = []
@inlineCallbacks
def start(self):
partitions = []
try:
while not partitions:
yield self._client.load_metadata_for_topics(self.topic)
e = self._client.metadata_error_for_topic(self.topic)
if e:
log.warning('no-metadata-for-topic', error=e,
topic=self.topic)
else:
partitions = self._client.topic_partitions[self.topic]
except KafkaUnavailableError:
log.error("unable-to-communicate-with-Kafka-brokers")
self.stop()
def _note_consumer_stopped(result, consumer):
log.info('consumer-stopped', consumer=consumer,
result=result)
for partition in partitions:
c = Consumer(self._client, self.topic, partition,
self.msg_processor)
self._consumer_list.append(c)
# log.info('consumer-started', topic=self.topic, partition=partition)
d = c.start(OFFSET_LATEST)
d.addBoth(_note_consumer_stopped, c)
self._consumer_d_list.append(d)
# Stop ourselves after we've run the allotted time
reactor.callLater(self.runtime, self.stop)
def stop(self):
log.info("\n")
log.info('end-of-execution-stopping-consumers')
# Ask each of our consumers to stop. When a consumer fully stops, it
# fires the deferred returned from its start() method. We saved all
# those deferreds away (above, in start()) in self._consumer_d_list,
# so now we'll use a DeferredList to wait for all of them...
for consumer in self._consumer_list:
consumer.stop()
dl = DeferredList(self._consumer_d_list)
# Once the consumers are all stopped, then close our client
def _stop_client(result):
if isinstance(result, Failure):
log.error('error', result=result)
else:
log.info('all-consumers-stopped', client=self._client)
self._client.close()
return result
dl.addBoth(_stop_client)
# And once the client is shutdown, stop the reactor
def _stop_reactor(result):
reactor.stop()
return result
dl.addBoth(_stop_reactor)
def msg_processor(self, consumer, msglist):
for msg in msglist:
log.info(msg)
class DashDaemon(object):
def __init__(self, consul_endpoint, kafka_endpoint, grafana_url, topic="voltha.heartbeat"):
#logging.basicConfig(
# format='%(asctime)s:%(name)s:' +
# '%(levelname)s:%(process)d:%(message)s',
# level=logging.INFO
#)
self.dash_meta = {}
self.timer_resolution = 10
self.timer_duration = 600
self.topic = topic
self.dash_template = DashTemplate(grafana_url)
self.grafana_url = grafana_url
self.kafka_endpoint = kafka_endpoint
self.consul_endpoint = consul_endpoint
if kafka_endpoint.startswith('@'):
retrys = 10
while True:
try:
self.kafka_endpoint = get_endpoint_from_consul(
self.consul_endpoint, kafka_endpoint[1:])
break
except:
log.error("unable-to-communicate-with-consul")
self.stop()
retrys -= 1
if retrys == 0:
log.error("unable-to-communicate-with-consul")
self.stop()
time.sleep(10)
self.on_start_callback = None
self._client = KafkaClient(self.kafka_endpoint)
self._consumer_list = [] # List of consumers
# List of deferred returned from consumers' start() methods
self._consumer_d_list = []
def set_on_start_callback(self, on_start_callback):
# This function is currently unused, future requirements.
self.on_start_callback = on_start_callback
return self
@inlineCallbacks
def start(self):
partitions = []
try:
while not partitions:
yield self._client.load_metadata_for_topics(self.topic)
#self._client.load_metadata_for_topics(self.topic)
e = self._client.metadata_error_for_topic(self.topic)
if e:
log.warning('no-metadata-for-topic', error=e,
topic=self.topic)
else:
partitions = self._client.topic_partitions[self.topic]
break
time.sleep(20)
except KafkaUnavailableError:
log.error("unable-to-communicate-with-Kafka-brokers")
self.stop()
def _note_consumer_stopped(result, consumer):
log.info('consumer-stopped', consumer=consumer,
result=result)
for partition in partitions:
c = Consumer(self._client, self.topic, partition,
self.msg_processor)
self._consumer_list.append(c)
log.info('consumer-started', topic=self.topic, partition=partition)
d = c.start(OFFSET_LATEST)
d.addBoth(_note_consumer_stopped, c)
self._consumer_d_list.append(d)
# Now read the list of existing dashboards from Grafana and create the
# dictionary of dashboard timers. If we've crashed there will be
# dashboards there. Just add them and if they're no longer valid
# they'll be deleted. If they are valid then they'll persist.
#print("Starting main loop")
try:
retrys = 10
while True:
r = requests.get(self.grafana_url + "/datasources")
if r.status_code == requests.codes.ok:
break
else:
retrys -= 1
if retrys == 0:
log.error("unable-to-communicate-with-grafana")
self.stop()
time.sleep(10)
j = r.json()
data_source = False
for i in j:
if i["name"] == "Voltha Stats":
data_source = True
break
if not data_source:
r = requests.post(self.grafana_url + "/datasources",
data = {"name":"Voltha Stats","type":"graphite",
"access":"proxy","url":"http://localhost:81"})
log.info('data-source-added',status=r.status_code, text=r.text)
retrys = 10
while True:
r = requests.get(self.grafana_url + "/search?")
if r.status_code == requests.codes.ok:
break
else:
retrys -= 1
if retrys == 0:
log.error("unable-to-communicate-with-grafana")
self.stop()
time.sleep(10)
j = r.json()
for i in j:
# Look for dashboards that have a title of *olt.[[:hexidgit:]].
# These will be the ones of interest. Others should just be left
# alone.
#print(i['title'])
match = re.search(r'(.*olt)\.([0-9a-zA-Z]+)',i['title'])
if match and match.lastindex > 0:
#print(match.group(1), match.group(2))
self.dash_meta[match.group(2)] = {}
self.dash_meta[match.group(2)]['timer'] = self.timer_duration # 10 min
self.dash_meta[match.group(2)]['device'] = match.group(1)
self.dash_meta[match.group(2)]['created'] = False
self.dash_meta[match.group(2)]['ports'] = {}
# TODO: We should really capture all of the chart data
# including the rows, panels, and data points being logged.
# This is good enough for now though to determine if
# there's already a dashboard for a given device.
def countdown_processor():
# Called every X (timer_resolution) seconds to count down each of the
# dash timers. If a timer reaches 0 the corresponding
# dashboard is removed.
#log.info("Counting down.")
try:
for dashboard in self.dash_meta.keys():
#print("Counting down %s." %dashboard)
# Issue a log if the counter decrement is somewhat relevant
if(self.dash_meta[dashboard]['timer'] % 100 == 0 and \
self.dash_meta[dashboard]['timer'] != self.timer_duration):
log.info("counting-down",dashboard=dashboard,
timer=self.dash_meta[dashboard]['timer'])
self.dash_meta[dashboard]['timer'] -= self.timer_resolution
if self.dash_meta[dashboard]['timer'] <= 0:
# Delete the dashboard here
log.info("FIXME:-Should-delete-the-dashboard-here",
dashboard=dashboard)
pass
except:
e = sys.exc_info()
log.error("error", error=e)
# Start the dashboard countdown processor
log.info("starting-countdown-processor")
lc = LoopingCall(countdown_processor)
lc.start(self.timer_resolution)
@inlineCallbacks
def template_checker():
try:
# Called every so often (timer_resolution seconds because it's
# convenient) to check if a template dashboard has been defined
# in Grafana. If it has been, replace the built in template
# with the one provided
r = requests.get(self.grafana_url + "/search?query=template")
db = r.json()
if len(db) == 1:
# Apply the template
yield self.dash_template.apply_template(db[0])
elif len(db) != 0:
# This is an error, log it.
log.warning("More-than-one-template-provided-ignoring")
except:
e = sys.exc_info()
log.error("error", error=e)
log.info("starting-template-checker")
lc = LoopingCall(template_checker)
lc.start(self.timer_resolution)
except:
e = sys.exc_info()
log.error("error", error=e)
def stop(self):
log.info("\n")
log.info('end-of-execution-stopping-consumers')
# Ask each of our consumers to stop. When a consumer fully stops, it
# fires the deferred returned from its start() method. We saved all
# those deferreds away (above, in start()) in self._consumer_d_list,
# so now we'll use a DeferredList to wait for all of them...
for consumer in self._consumer_list:
consumer.stop()
dl = DeferredList(self._consumer_d_list)
# Once the consumers are all stopped, then close our client
def _stop_client(result):
if isinstance(result, Failure):
log.error('error', result=result)
else:
log.info('all-consumers-stopped', client=self._client)
self._client.close()
return result
dl.addBoth(_stop_client)
# And once the client is shutdown, stop the reactor
def _stop_reactor(result):
reactor.stop()
return result
dl.addBoth(_stop_reactor)
def check_for_dashboard(self, msg):
need_dash = {}
done = {}
# Extract the ids for all olt(s) in the message and do one of 2
# things. If it exists, reset the meta_data timer for the dashboard and
# if it doesn't exist add it to the array of needed dashboards.
metrics = json.loads(getattr(msg.message,'value'))['prefixes']
for key in metrics.keys():
match = re.search(r'voltha\.(.*olt)\.([0-9a-zA-Z]+)\.(.*)',key)
if match and match.lastindex > 1:
if match.group(2) in self.dash_meta and match.group(2) not in done:
# Update the delete countdown timer
self.dash_meta[match.group(2)]['timer'] = self.timer_duration
done[match.group(2)] = True
# Issue a log if the reset if somewhat relevant.
if self.dash_meta[match.group(2)]['timer'] < \
self.timer_duration - self.timer_resolution:
log.info("reset-timer",device=match.group(2))
#print("reset timer for: %s" %match.group(2))
else:
# No dahsboard exists,
need_dash[key] = metrics[key]
return need_dash
def create_dashboards(self, createList):
dataIds = "ABCDEFGHIJKLMNOP"
for dash in createList:
#log.info("creating a dashboard for: %s" % self.dash_meta[dash])
# Create one row per "interface"
# Create one panel per metric type for the time being it's one
# panel for byte stats and one panel for packet stats.
newDash = json.loads(self.dash_template.dashBoard)
newDash['dashboard']['title'] = self.dash_meta[dash]['device'] + \
'.' + dash
# The port is the main grouping attribute
for port in self.dash_meta[dash]['ports']:
# Add in the rows for the port specified by the template
for row in self.dash_template.rows:
r = json.loads(self.dash_template.dashRow)
r['title'] = re.sub(r'%port%',port, row['title'])
p = {}
# Add the panels to the row per the template
panelId = 1
for panel in self.dash_template.panels:
p = json.loads(self.dash_template.dashPanel)
p['id'] = panelId
panelId += 1
p['title'] = re.sub(r'%port%', port.upper(), panel['title'])
t = {}
dataId = 0
# Add the targets to the panel
for dpoint in sorted(self.dash_meta[dash]['ports'][port]):
if dpoint in panel:
t['refId'] = dataIds[dataId]
db = re.sub(r'%port%',port,panel[dpoint])
db = re.sub(r'%device%',
self.dash_meta[dash]['device'],db)
db = re.sub(r'%deviceId%', dash,db)
t['target'] = db
p['targets'].append(t.copy())
dataId += 1
r['panels'].append(p.copy())
newDash['dashboard']['rows'].append(r.copy())
#print("NEW DASHBOARD: ",json.dumps(newDash))
#print(r.json())
r = \
requests.post(self.grafana_url + "/dashboards/db",
json=newDash)
self.dash_meta[dash]['slug'] = r.json()['slug']
self.dash_meta[dash]['created'] = True
log.info("created-dashboard", slug=self.dash_meta[dash]['slug'])
def msg_processor(self, consumer, msglist):
try:
createList = []
for msg in msglist:
# Reset the timer for existing dashboards and get back a dict
# of of dashboards to create if any.
need_dash = self.check_for_dashboard(msg)
# Now populate the meta data for all missing dashboards
for key in need_dash.keys():
match = re.search(r'voltha\.(.*olt)\.([0-9a-zA-Z]+)\.(.*)',key)
if match and match.lastindex > 2:
if match.group(2) in self.dash_meta:
# The entry will have been created when the first
# port in the record was encountered so just
# populate the metrics and port info.
# TODO: The keys below are the names of the metrics
# that are in the Kafka record. This auto-discovery
# is fine if all that's needed are raw metrics. If
# metrics are "cooked" by a downstream process and
# subsequently fed to graphite/carbon without being
# re-posted to Kafka, discovery becomes impossible.
# In those cases and in cases where finer grain
# control of what's displayed is required, a config
# file would be necessary.
self.dash_meta[match.group(2)]['ports'][match.group(3)] = \
need_dash[key]['metrics'].keys()
else:
# Not there, create a meta-data record for the
# device and add this port.
#print("Adding meta data for", match.group(1),
# match.group(2))
createList.append(match.group(2))
self.dash_meta[match.group(2)] = {}
self.dash_meta[match.group(2)]['timer'] = 600
self.dash_meta[match.group(2)]['device'] = match.group(1)
self.dash_meta[match.group(2)]['created'] = False
self.dash_meta[match.group(2)]['ports'] = {}
#print("Adding port", match.group(3), "to", match.group(1),
# match.group(2))
self.dash_meta[match.group(2)]['ports'][match.group(3)] = \
need_dash[key]['metrics'].keys()
# Now go ahead and create the dashboards using the meta data that
# wwas just populated for them.
if len(createList) != 0: # Create any missing dashboards.
self.create_dashboards(createList)
except:
e = sys.exc_info()
log.error("error", error=e)
class ConsumerExample(object):
def __init__(self, consul_endpoint, topic="voltha.heartbeat", runtime=60):
self.topic = topic
self.runtime = runtime
self.kafka_endpoint = get_endpoint_from_consul(consul_endpoint,
'kafka')
self._client = KafkaClient(self.kafka_endpoint)
self._consumer_list = [] # List of consumers
# List of deferred returned from consumers' start() methods
self._consumer_d_list = []
@inlineCallbacks
def start(self):
partitions = []
try:
while not partitions:
yield self._client.load_metadata_for_topics(self.topic)
e = self._client.metadata_error_for_topic(self.topic)
if e:
log.warning('no-metadata-for-topic',
error=e,
topic=self.topic)
else:
partitions = self._client.topic_partitions[self.topic]
except KafkaUnavailableError:
log.error("unable-to-communicate-with-Kafka-brokers")
self.stop()
def _note_consumer_stopped(result, consumer):
log.info('consumer-stopped', consumer=consumer, result=result)
for partition in partitions:
c = Consumer(self._client, self.topic, partition,
self.msg_processor)
self._consumer_list.append(c)
# log.info('consumer-started', topic=self.topic, partition=partition)
d = c.start(OFFSET_LATEST)
d.addBoth(_note_consumer_stopped, c)
self._consumer_d_list.append(d)
# Stop ourselves after we've run the allotted time
reactor.callLater(self.runtime, self.stop)
def stop(self):
log.info("\n")
log.info('end-of-execution-stopping-consumers')
# Ask each of our consumers to stop. When a consumer fully stops, it
# fires the deferred returned from its start() method. We saved all
# those deferreds away (above, in start()) in self._consumer_d_list,
# so now we'll use a DeferredList to wait for all of them...
for consumer in self._consumer_list:
consumer.stop()
dl = DeferredList(self._consumer_d_list)
# Once the consumers are all stopped, then close our client
def _stop_client(result):
if isinstance(result, Failure):
log.error('error', result=result)
else:
log.info('all-consumers-stopped', client=self._client)
self._client.close()
return result
dl.addBoth(_stop_client)
# And once the client is shutdown, stop the reactor
def _stop_reactor(result):
reactor.stop()
return result
dl.addBoth(_stop_reactor)
def msg_processor(self, consumer, msglist):
for msg in msglist:
log.info(msg)
class DashDaemon(object):
def __init__(self, consul_endpoint, grafana_url, topic="voltha.heartbeat"):
#logging.basicConfig(
# format='%(asctime)s:%(name)s:' +
# '%(levelname)s:%(process)d:%(message)s',
# level=logging.INFO
#)
self.dash_meta = {}
self.timer_resolution = 10
self.timer_duration = 600
self.topic = topic
self.dash_template = DashTemplate(grafana_url)
self.grafana_url = grafana_url
self.kafka_endpoint = get_endpoint_from_consul(consul_endpoint,
'kafka')
# print('kafka endpoint: ', self.kafka_endpoint)
self.on_start_callback = None
self._client = KafkaClient(self.kafka_endpoint)
self._consumer_list = [] # List of consumers
# List of deferred returned from consumers' start() methods
self._consumer_d_list = []
def set_on_start_callback(self, on_start_callback):
# This function is currently unused, future requirements.
self.on_start_callback = on_start_callback
return self
@inlineCallbacks
def start(self):
partitions = []
try:
while not partitions:
yield self._client.load_metadata_for_topics(self.topic)
e = self._client.metadata_error_for_topic(self.topic)
if e:
log.warning('no-metadata-for-topic',
error=e,
topic=self.topic)
else:
partitions = self._client.topic_partitions[self.topic]
except KafkaUnavailableError:
log.error("unable-to-communicate-with-Kafka-brokers")
self.stop()
def _note_consumer_stopped(result, consumer):
log.info('consumer-stopped', consumer=consumer, result=result)
for partition in partitions:
c = Consumer(self._client, self.topic, partition,
self.msg_processor)
self._consumer_list.append(c)
log.info('consumer-started', topic=self.topic, partition=partition)
d = c.start(OFFSET_LATEST)
d.addBoth(_note_consumer_stopped, c)
self._consumer_d_list.append(d)
# Now read the list of existing dashboards from Grafana and create the
# dictionary of dashboard timers. If we've crashed there will be
# dashboards there. Just add them and if they're no longer valid
# they'll be deleted. If they are valid then they'll persist.
#print("Starting main loop")
try:
r = requests.get(self.grafana_url + "/search?")
j = r.json()
for i in j:
# Look for dashboards that have a title of *olt.[[:hexidgit:]].
# These will be the ones of interest. Others should just be left
# alone.
#print(i['title'])
match = re.search(r'(.*olt)\.([0-9a-zA-Z]+)', i['title'])
if match and match.lastindex > 0:
#print(match.group(1), match.group(2))
self.dash_meta[match.group(2)] = {}
self.dash_meta[match.group(
2)]['timer'] = self.timer_duration # 10 min
self.dash_meta[match.group(2)]['device'] = match.group(1)
self.dash_meta[match.group(2)]['created'] = False
self.dash_meta[match.group(2)]['ports'] = {}
# TODO: We should really capture all of the chart data
# including the rows, panels, and data points being logged.
# This is good enough for now though to determine if
# there's already a dashboard for a given device.
def countdown_processor():
# Called every X (timer_resolution) seconds to count down each of the
# dash timers. If a timer reaches 0 the corresponding
# dashboard is removed.
#log.info("Counting down.")
try:
for dashboard in self.dash_meta.keys():
#print("Counting down %s." %dashboard)
# Issue a log if the counter decrement is somewhat relevant
if(self.dash_meta[dashboard]['timer'] % 100 == 0 and \
self.dash_meta[dashboard]['timer'] != self.timer_duration):
log.info("counting-down",
dashboard=dashboard,
timer=self.dash_meta[dashboard]['timer'])
self.dash_meta[dashboard][
'timer'] -= self.timer_resolution
if self.dash_meta[dashboard]['timer'] <= 0:
# Delete the dashboard here
log.info("FIXME:-Should-delete-the-dashboard-here",
dashboard=dashboard)
pass
except:
e = sys.exc_info()
log.error("error", error=e)
# Start the dashboard countdown processor
log.info("starting-countdown-processor")
lc = LoopingCall(countdown_processor)
lc.start(self.timer_resolution)
@inlineCallbacks
def template_checker():
try:
# Called every so often (timer_resolution seconds because it's
# convenient) to check if a template dashboard has been defined
# in Grafana. If it has been, replace the built in template
# with the one provided
r = requests.get(self.grafana_url +
"/search?query=template")
db = r.json()
if len(db) == 1:
# Apply the template
yield self.dash_template.apply_template(db[0])
elif len(db) != 0:
# This is an error, log it.
log.warning("More-than-one-template-provided-ignoring")
except:
e = sys.exc_info()
log.error("error", error=e)
log.info("starting-template-checker")
lc = LoopingCall(template_checker)
lc.start(self.timer_resolution)
except:
e = sys.exc_info()
log.error("error", error=e)
def stop(self):
log.info("\n")
log.info('end-of-execution-stopping-consumers')
# Ask each of our consumers to stop. When a consumer fully stops, it
# fires the deferred returned from its start() method. We saved all
# those deferreds away (above, in start()) in self._consumer_d_list,
# so now we'll use a DeferredList to wait for all of them...
for consumer in self._consumer_list:
consumer.stop()
dl = DeferredList(self._consumer_d_list)
# Once the consumers are all stopped, then close our client
def _stop_client(result):
if isinstance(result, Failure):
log.error('error', result=result)
else:
log.info('all-consumers-stopped', client=self._client)
self._client.close()
return result
dl.addBoth(_stop_client)
# And once the client is shutdown, stop the reactor
def _stop_reactor(result):
reactor.stop()
return result
dl.addBoth(_stop_reactor)
def check_for_dashboard(self, msg):
need_dash = {}
done = {}
# Extract the ids for all olt(s) in the message and do one of 2
# things. If it exists, reset the meta_data timer for the dashboard and
# if it doesn't exist add it to the array of needed dashboards.
metrics = json.loads(getattr(msg.message, 'value'))['prefixes']
for key in metrics.keys():
match = re.search(r'voltha\.(.*olt)\.([0-9a-zA-Z]+)\.(.*)', key)
if match and match.lastindex > 1:
if match.group(2) in self.dash_meta and match.group(
2) not in done:
# Update the delete countdown timer
self.dash_meta[match.group(
2)]['timer'] = self.timer_duration
done[match.group(2)] = True
# Issue a log if the reset if somewhat relevant.
if self.dash_meta[match.group(2)]['timer'] < \
self.timer_duration - self.timer_resolution:
log.info("reset-timer", device=match.group(2))
#print("reset timer for: %s" %match.group(2))
else:
# No dahsboard exists,
need_dash[key] = metrics[key]
return need_dash
def create_dashboards(self, createList):
dataIds = "ABCDEFGHIJKLMNOP"
for dash in createList:
#log.info("creating a dashboard for: %s" % self.dash_meta[dash])
# Create one row per "interface"
# Create one panel per metric type for the time being it's one
# panel for byte stats and one panel for packet stats.
newDash = json.loads(self.dash_template.dashBoard)
newDash['dashboard']['title'] = self.dash_meta[dash]['device'] + \
'.' + dash
# The port is the main grouping attribute
for port in self.dash_meta[dash]['ports']:
# Add in the rows for the port specified by the template
for row in self.dash_template.rows:
r = json.loads(self.dash_template.dashRow)
r['title'] = re.sub(r'%port%', port, row['title'])
p = {}
# Add the panels to the row per the template
panelId = 1
for panel in self.dash_template.panels:
p = json.loads(self.dash_template.dashPanel)
p['id'] = panelId
panelId += 1
p['title'] = re.sub(r'%port%', port.upper(),
panel['title'])
t = {}
dataId = 0
# Add the targets to the panel
for dpoint in sorted(
self.dash_meta[dash]['ports'][port]):
if dpoint in panel:
t['refId'] = dataIds[dataId]
db = re.sub(r'%port%', port, panel[dpoint])
db = re.sub(r'%device%',
self.dash_meta[dash]['device'], db)
db = re.sub(r'%deviceId%', dash, db)
t['target'] = db
p['targets'].append(t.copy())
dataId += 1
r['panels'].append(p.copy())
newDash['dashboard']['rows'].append(r.copy())
#print("NEW DASHBOARD: ",json.dumps(newDash))
#print(r.json())
r = \
requests.post(self.grafana_url + "/dashboards/db",
json=newDash)
self.dash_meta[dash]['slug'] = r.json()['slug']
self.dash_meta[dash]['created'] = True
log.info("created-dashboard", slug=self.dash_meta[dash]['slug'])
def msg_processor(self, consumer, msglist):
try:
createList = []
for msg in msglist:
# Reset the timer for existing dashboards and get back a dict
# of of dashboards to create if any.
need_dash = self.check_for_dashboard(msg)
# Now populate the meta data for all missing dashboards
for key in need_dash.keys():
match = re.search(r'voltha\.(.*olt)\.([0-9a-zA-Z]+)\.(.*)',
key)
if match and match.lastindex > 2:
if match.group(2) in self.dash_meta:
# The entry will have been created when the first
# port in the record was encountered so just
# populate the metrics and port info.
# TODO: The keys below are the names of the metrics
# that are in the Kafka record. This auto-discovery
# is fine if all that's needed are raw metrics. If
# metrics are "cooked" by a downstream process and
# subsequently fed to graphite/carbon without being
# re-posted to Kafka, discovery becomes impossible.
# In those cases and in cases where finer grain
# control of what's displayed is required, a config
# file would be necessary.
self.dash_meta[match.group(2)]['ports'][match.group(3)] = \
need_dash[key]['metrics'].keys()
else:
# Not there, create a meta-data record for the
# device and add this port.
#print("Adding meta data for", match.group(1),
# match.group(2))
createList.append(match.group(2))
self.dash_meta[match.group(2)] = {}
self.dash_meta[match.group(2)]['timer'] = 600
self.dash_meta[match.group(
2)]['device'] = match.group(1)
self.dash_meta[match.group(2)]['created'] = False
self.dash_meta[match.group(2)]['ports'] = {}
#print("Adding port", match.group(3), "to", match.group(1),
# match.group(2))
self.dash_meta[match.group(2)]['ports'][match.group(3)] = \
need_dash[key]['metrics'].keys()
# Now go ahead and create the dashboards using the meta data that
# wwas just populated for them.
if len(createList) != 0: # Create any missing dashboards.
self.create_dashboards(createList)
except:
e = sys.exc_info()
log.error("error", error=e)