def init():
collectd.debug('initing stuff')
global sock
sock = socket()
try:
sock.connect((CARBON_SERVER,CARBON_PORT))
except:
collectd.warn("Couldn't connect to %(server)s on port %(port)d, is carbon-agent.py running?" % { 'server':CARBON_SERVER, 'port':CARBON_PORT })
def write(self, sample):
type_info = self._types.get(sample.type)
if type_info is None:
msg = 'plugin: %s unknown type %s, not listed in %s'
collectd.info('write_influxdb: ' + msg % (sample.plugin,
sample.type,
self._typesdb))
return
identifier = format_identifier(sample)
columns = ['time']
points = [sample.time]
for i, (ds_name, ds_type, min_val, max_val) in enumerate(type_info):
value = sample.values[i]
columns.append(ds_name)
if (not isinstance(value, (float, int)) or
ds_type == "GAUGE" or
self._raw_values):
continue
metric_identifier = identifier + ds_name
last = self._last_sample.get(metric_identifier)
curr_time = time.monotonic()
self._last_sample[metric_identifier] = (curr_time, value)
if not last:
continue
old_time, old_value = last
# Determine time between datapoints
interval = curr_time - old_time
if interval < 1:
interval = 1
if ds_type == "COUNTER" or ds_type == "DERIVE":
# Check for overflow if it's a counter
if ds_type == "COUNTER" and value < old_value:
if max_val == 'U':
# this is funky. pretend as if this is the first data
# point
new_value = None
else:
min_val = str_to_num(min_val)
max_val = str_to_num(max_val)
new_value = max_val - old_value + value - min_val
else:
new_value = value - old_value
# Both COUNTER and DERIVE get divided by the timespan
new_value /= interval
elif ds_type == "ABSOLUTE":
new_value = value / interval
else:
collectd.warn('unrecognized ds_type {}'.format(ds_type))
new_value = value
sample.values[i] = new_value
points.extend(sample.values)
columns.extend(('host', 'type'))
points.extend((sample.host, sample.type))
if sample.plugin_instance:
columns.append('plugin_instance')
points.append(sample.plugin_instance)
if sample.type_instance:
columns.append('type_instance')
points.append(sample.type_instance)
data = {'name': sample.plugin,
'columns': columns,
'points': [points]}
self._queues[identifier].put(data)
self._flush()
def write(self, sample):
type_info = self._types.get(sample.type)
if type_info is None:
msg = 'plugin: %s unknown type %s, not listed in %s'
collectd.info('write_influxdb: ' + msg %
(sample.plugin, sample.type, self._typesdb))
return
identifier = format_identifier(sample)
columns = ['time']
points = [sample.time]
for i, (ds_name, ds_type, min_val, max_val) in enumerate(type_info):
value = sample.values[i]
columns.append(ds_name)
if (not isinstance(value, (float, int)) or ds_type == "GAUGE"
or self._raw_values):
continue
metric_identifier = identifier + ds_name
last = self._last_sample.get(metric_identifier)
curr_time = time.monotonic()
self._last_sample[metric_identifier] = (curr_time, value)
if not last:
continue
old_time, old_value = last
# Determine time between datapoints
interval = curr_time - old_time
if interval < 1:
interval = 1
if ds_type == "COUNTER" or ds_type == "DERIVE":
# Check for overflow if it's a counter
if ds_type == "COUNTER" and value < old_value:
if max_val == 'U':
# this is funky. pretend as if this is the first data
# point
new_value = None
else:
min_val = str_to_num(min_val)
max_val = str_to_num(max_val)
new_value = max_val - old_value + value - min_val
else:
new_value = value - old_value
# Both COUNTER and DERIVE get divided by the timespan
new_value /= interval
elif ds_type == "ABSOLUTE":
new_value = value / interval
else:
collectd.warn('unrecognized ds_type {}'.format(ds_type))
new_value = value
sample.values[i] = new_value
points.extend(sample.values)
columns.extend(('host', 'type'))
points.extend((sample.host, sample.type))
if sample.plugin_instance:
columns.append('plugin_instance')
points.append(sample.plugin_instance)
if sample.type_instance:
columns.append('type_instance')
points.append(sample.type_instance)
data = {'name': sample.plugin, 'columns': columns, 'points': [points]}
self._queues[identifier].put(data)
self._flush()