aio-statsd 0.2.9

an asyncio-based client for send metric to StatsD, Graphite.carbon, TelegrafStatsD and DogStatsD.

aiostasd

an asyncio-based client for send metric to StatsD, Graphite.carbon, TelegrafStatsD and DogStatsD.

Installation

pip install aio_statsd

Usage

Usage Client

Create connection and send gauge metric. aiostatsd client will automatically send messages in the background when the loop is running

import asyncio

from aio_statsd import StatsdClient

loop = asyncio.get_event_loop()
client = StatsdClient()
loop.run_until_complete(client.connect())
client.gauge('test.key', 1)
loop.run_forever()

Use context manager

import asyncio

from aio_statsd import StatsdClient


async def main():
    async with StatsdClient() as client:
        client.gauge('test.key', 1)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

Client param

• host: default value 'localhost', Statsd Server ip
• port: default value 8125, Statsd Server port
• protocol: default value ProtocolFlag.udp, Transport Layer Prrotocol, Select Tcp:ProtocolFlag.udp or Udp:ProtocolFlag.tcp
• timeout: default value 0, send msg timeout, if timeout==0, not enable timeout
• debug: default value False, enable debug
• close_timeout: default value 9, Within a few seconds after the client is closed, continue to send messages which in the queue
• create_timeout: default value 9, Create connection timeout
• max_len: default value 10000, deque length
• sample_rate(Use in StatsD Client, DogStatsD Client): default value 1, use sample rate in Statsd or DogStatsD

send metric

import asyncio

from aio_statsd import StatsdClient


async def main():
    async with StatsdClient() as client:
        client.gauge('test.key', 1)
        client.counter('test.key', 1)
        client.sets('test.key', 1)
        client.timer('test.key', 1)
        with client.timeit('test'):
            pass  # run your code
        
        # all metric support sample rate
        client.gauge('test1.key', 1, sample_rate=0.5)
        
        # mutli metric support(not support sample rate, the sample rate will always be set to 1)
        from aio_statsd import StatsdProtocol
        metric = StatsdProtocol()   
        metric.gauge('test2.key', 1)
        metric.sets('test2.key', 1)
        client.send_statsd(metric)     

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

Other Client

Graphite(carbon)

import asyncio

from aio_statsd import GraphiteClient

loop = asyncio.get_event_loop()
client = GraphiteClient()
loop.run_until_complete(client.connect())
client.send_graphite('test.key', 1) # Multiple clients timestamp interval synchronization
loop.run_forever()

DogStatsD

Note: Not tested in production

import asyncio

from aio_statsd import DogStatsdClient


async def main():
    async with DogStatsdClient() as client:
        client.gauge('test.key', 1)
        client.distribution('test.key', 1)
        client.increment('test.key',1)
        client.histogram('test.key', 1)
        client.timer('test.key', 1)
        with client.timeit('test'):
            pass  # run your code
        
        # all metric support sample rate and DogStatsD tag
        client.gauge('test1.key', 1, sample_rate=0.5, tag_dict={'tag': 'tag1'})
        
        # mutli metric support(
        #   DogStatsdProtocol will store the message in its own queue and
        #   DogStatsDClient traverses to read DogStatsdProtocol's message and send it
        # )
        from aio_statsd import DogStatsdProtocol
        metric = DogStatsdProtocol()   
        metric.gauge('test2.key', 1, tag_dict={'tag': 'tag1'})
        metric.histogram('test2.key', 1)
        client.send_dog_statsd(metric, sample_rate=0.5)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

TelegrafStatsd

Note: Not tested in production

import asyncio

from aio_statsd import TelegrafStatsdClient


async def main():
    async with TelegrafStatsdClient() as client:
        client.gauge('test.key', 1)
        client.distribution('test.key', 1)
        client.increment('test.key',1)
        client.histogram('test.key', 1)
        client.timer('test.key', 1)
        with client.timeit('test'):
            pass  # run your code
        
        # all metric support sample rate and TelegrafStatsd tag
        client.gauge('test1.key', 1, sample_rate=0.5, tag_dict={'tag': 'tag1'})
        
        # mutli metric support(
        #   TelegrafStatsdProtocol will store the message in its own queue and
        #   TelegrafStatsDClient traverses to read TelegrafStatsdProtocol's message and send it
        # )
        from aio_statsd import TelegrafStatsdProtocol 
        metric = TelegrafStatsdProtocol()   
        metric.gauge('test2.key', 1, tag_dict={'tag': 'tag1'})
        metric.histogram('test2.key', 1)
        client.send_telegraf_statsd(metric, sample_rate=0.5)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

Telegraf

Note: Not tested in production

import asyncio

from aio_statsd import TelegrafClient


async def main():
    async with TelegrafClient() as client:
        client.send_telegraf('test.key', {"field1": 100}, user_server_time=True)

Use in web frameworks

fast_tools example