Skip to main content

No project description provided

Project description

Muffin-Metrics – Send data to Graphite/StatsD from Muffin application.

Build Status http://img.shields.io/pypi/v/muffin-metrics.svg?style=flat-square http://img.shields.io/pypi/dm/muffin-metrics.svg?style=flat-square Donate

Requirements

  • python >= 3.3

Installation

Muffin-Metrics should be installed using pip:

pip install muffin-metrics

Usage

Add muffin_metrics to PLUGINS in your Muffin Application configuration.

Options

METRICS_BACKENDS – Graphite backends in format ([])

METRICS_BACKENDS = (
    ('udp': 'udp://address:port'),
    ('tcp': 'tcp://address:port'),
    ('statsd_udp': 'udp+statsd://address:port'),
    ('statsd_tcp': 'tcp+statsd://address:port'),
)
METRICS_DEFAULT = 'udp'

METRICS_DEFAULT – Default backend (None)

METRICS_FAIL_SILENTLY – Don’t raise connection’s exceptions (False)

METRICS_MAXUDPSIZE – Max size of UDP message (512)

METRICS_PREFIX – Prefix for metrics (muffin.)

Usage

@app.register('/my')
def my_view(request):
    # Context manager (group metrics to pipeline and send them as one message)
    with (yield from app.ps.metrics.client()) as metrics:
        metrics.send(42, path='answer.to.the.ultimate.question')
        # ...
        metrics.send(31, path='some.some')

    # Send data
    yield from app.ps.metrics.send(100, path='one.hungred', backend='mybackend')

    # Create client and send data
    metrics = yield from app.ps.metrics.client(backend='tcp')
    metrics.send('twenty.four', 24)
    metrics.disconnect()

    # Send data to statsd
    with (yield from app.ps.metrics.client(backend='statsd_tcp')) as client:
        client.incr('request.method.%s' % request.method)
        client.timing('response.time', timer.ms)
        client.incr('response.status.%s' % response.status)

Bug tracker

If you have any suggestions, bug reports or annoyances please report them to the issue tracker at https://github.com/klen/muffin-metrics/issues

Contributing

Development of Muffin-Metrics happens at: https://github.com/klen/muffin-metrics

Contributors

  • klen (Kirill Klenov)

License

Licensed under a MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

muffin-metrics-0.1.3.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

muffin_metrics-0.1.3-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file muffin-metrics-0.1.3.tar.gz.

File metadata

File hashes

Hashes for muffin-metrics-0.1.3.tar.gz
Algorithm Hash digest
SHA256 249662f4f431dc4e17a6bbbaa7acc6d5e38f1ed3f129cd5278302a1d4d1c4e3d
MD5 ccb0e8fe929a0c8a305b7923effc35a8
BLAKE2b-256 29b6a86b5f572ad474d5029982a0d5bbf654a0288e71fb4dca4ffde6e1116d24

See more details on using hashes here.

File details

Details for the file muffin_metrics-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for muffin_metrics-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0a50937adca4fff4257eeae992114c3d46183295a04c9b635435e5e816455381
MD5 df0a10848b8460b2263639aa278dd35e
BLAKE2b-256 d0188b926df4efc9816bc52438bca6313bd713b895ecac4763a0ed12e0bdde74

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page