sprockets.mixins.metrics/sprockets/mixins/metrics/influxdb.py

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import contextlib
import socket
import time
from tornado import httpclient, ioloop
class InfluxDBConnection(object):
"""
Connection to an InfluxDB instance.
:param str write_url: the URL to send HTTP requests to
:param str database: the database to write measurements into
:param tornado.ioloop.IOLoop: the IOLoop to spawn callbacks on.
If this parameter is :data:`None`, then the active IOLoop,
as determined by :meth:`tornado.ioloop.IOLoop.instance`,
is used.
An instance of this class is stored in the application settings
and used to asynchronously send measurements to InfluxDB instance.
Each measurement is sent by spawning a context-free callback on
the IOloop.
"""
def __init__(self, write_url, database, io_loop=None):
self.io_loop = ioloop.IOLoop.instance() if io_loop is None else io_loop
self.client = httpclient.AsyncHTTPClient()
self.write_url = '{}?db={}'.format(write_url, database)
def submit(self, measurement, tags, values):
body = '{},{} {} {:d}'.format(measurement, ','.join(tags),
','.join(values),
int(time.time() * 1000000000))
request = httpclient.HTTPRequest(self.write_url, method='POST',
body=body.encode('utf-8'))
ioloop.IOLoop.current().spawn_callback(self.client.fetch, request)
class InfluxDBMixin(object):
"""
Mix this class in to record measurements to a InfluxDB server.
**Configuration**
:database:
InfluxDB database to write measurements to. This is passed
as the ``db`` query parameter when writing to Influx.
https://docs.influxdata.com/influxdb/v0.9/guides/writing_data/
:write_url:
The URL that the InfluxDB write endpoint is available on.
This is used as-is to write data into Influx.
"""
SETTINGS_KEY = 'sprockets.mixins.metrics.influxdb'
"""``self.settings`` key that configures this mix-in."""
def initialize(self):
self.__tags = {
'host': socket.gethostname(),
'handler': '{}.{}'.format(self.__module__,
self.__class__.__name__),
'method': self.request.method,
}
super(InfluxDBMixin, self).initialize()
settings = self.settings.setdefault(self.SETTINGS_KEY, {})
if 'db_connection' not in settings:
settings['db_connection'] = InfluxDBConnection(
settings['write_url'], settings['database'])
self.__metrics = []
def set_metric_tag(self, tag, value):
"""
Add a tag to the measurement key.
:param str tag: name of the tag to set
:param str value: value to assign
This will overwrite the current value assigned to a tag
if one exists.
"""
self.__tags[tag] = value
def record_timing(self, duration, *path):
"""
Record a timing.
:param float duration: timing to record in seconds
:param path: elements of the metric path to record
A timing is a named duration value.
"""
self.__metrics.append('{}={}'.format('.'.join(path), duration))
def increase_counter(self, *path, **kwargs):
"""
Increase a counter.
:param path: elements of the path to record
:keyword int amount: value to record. If omitted, the counter
value is one.
Counters are simply values that are summed in a query.
"""
self.__metrics.append('{}={}'.format('.'.join(path),
kwargs.get('amount', 1)))
@contextlib.contextmanager
def execution_timer(self, *path):
"""
Record the time it takes to run an arbitrary code block.
:param path: elements of the metric path to record
This method returns a context manager that records the amount
of time spent inside of the context and records a value
named `path` using (:meth:`record_timing`).
"""
start = time.time()
try:
yield
finally:
fini = max(time.time(), start)
self.record_timing(fini - start, *path)
def on_finish(self):
super(InfluxDBMixin, self).on_finish()
self.set_metric_tag('status_code', self._status_code)
self.record_timing(self.request.request_time(), 'duration')
self.settings[self.SETTINGS_KEY]['db_connection'].submit(
self.settings[self.SETTINGS_KEY]['measurement'],
('{}={}'.format(k, v) for k, v in self.__tags.items()),
self.__metrics,
)