Convert README.md to ReStructuredTest format

Change-Id: I693ec76e2bd94573caa667cc49155de358a433f3
story: 2002163
task: 22597
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Denis Poisson 2018-06-28 11:02:27 +02:00
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Team and repository tags
========================
[![Team and repository tags](https://governance.openstack.org/tc/badges/monasca-statsd.svg)](https://governance.openstack.org/tc/reference/tags/index.html)
<!-- Change things from this point on -->
A Monasca-Statsd Python Client.
================
Quick Start Guide
-----------------
First install the library with `pip` or `easy_install`:
# Install in system python ...
sudo pip install monasca-statsd
# .. or into a virtual env
pip install monasca-statsd
Then start instrumenting your code:
```
# Import the module.
import monascastatsd as mstatsd
# Create the connection
conn = mstatsd.Connection(host='localhost', port=8125)
# Create the client with optional dimensions
client = mstatsd.Client(connection=conn, dimensions={'env': 'test'})
NOTE: You can also create a client without specifying the connection and it will create the client
with the default connection information for the monasca-agent statsd processor daemon
which uses host='localhost' and port=8125.
client = mstatsd.Client(dimensions={'env': 'test'})
# Increment and decrement a counter.
counter = client.get_counter(name='page.views')
counter.increment()
counter += 3
counter.decrement()
counter -= 3
# Record a gauge 50% of the time.
gauge = client.get_gauge('gauge', dimensions={'env': 'test'})
gauge.send('metric', 123.4, sample_rate=0.5)
# Sample a histogram.
histogram = client.get_histogram('histogram', dimensions={'test': 'True'})
histogram.send('metric', 123.4, dimensions={'color': 'red'})
# Time a function call.
timer = client.get_timer()
@timer.timed('page.render')
def render_page():
# Render things ...
pass
# Time a block of code.
timer = client.get_timer()
with timer.time('t'):
# Do stuff
time.sleep(2)
# Add dimensions to any metric.
histogram = client.get_histogram('my_hist')
histogram.send('query.time', 10, dimensions = {'version': '1.0', 'environment': 'dev'})
```
Feedback
--------
To suggest a feature, report a bug, or participate in the general discussion,
head over to [StoryBoard](https://storyboard.openstack.org/#!/project/872).
License
-------
See LICENSE file.
Code was originally forked from Datadog's dogstatsd-python, hence the dual license.

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Team and repository tags
========================
.. image:: https://governance.openstack.org/tc/badges/monasca-statsd.svg
:target: https://governance.openstack.org/tc/reference/tags/index.html
A Monasca-Statsd Python Client.
===============================
Quick Start Guide
-----------------
First install the library with ``pip`` or ``easy_install``:
::
# Install in system python ...
sudo pip install monasca-statsd
# .. or into a virtual env
pip install monasca-statsd
Then start instrumenting your code:
::
# Import the module.
import monascastatsd as mstatsd
# Create the connection
conn = mstatsd.Connection(host='localhost', port=8125)
# Create the client with optional dimensions
client = mstatsd.Client(connection=conn, dimensions={'env': 'test'})
NOTE: You can also create a client without specifying the connection and it will create the client
with the default connection information for the monasca-agent statsd processor daemon
which uses host='localhost' and port=8125.
client = mstatsd.Client(dimensions={'env': 'test'})
# Increment and decrement a counter.
counter = client.get_counter(name='page.views')
counter.increment()
counter += 3
counter.decrement()
counter -= 3
# Record a gauge 50% of the time.
gauge = client.get_gauge('gauge', dimensions={'env': 'test'})
gauge.send('metric', 123.4, sample_rate=0.5)
# Sample a histogram.
histogram = client.get_histogram('histogram', dimensions={'test': 'True'})
histogram.send('metric', 123.4, dimensions={'color': 'red'})
# Time a function call.
timer = client.get_timer()
@timer.timed('page.render')
def render_page():
# Render things ...
pass
# Time a block of code.
timer = client.get_timer()
with timer.time('t'):
# Do stuff
time.sleep(2)
# Add dimensions to any metric.
histogram = client.get_histogram('my_hist')
histogram.send('query.time', 10, dimensions = {'version': '1.0', 'environment': 'dev'})
Feedback
--------
To suggest a feature, report a bug, or participate in the general
discussion, head over to `StoryBoard`_.
License
-------
See LICENSE file. Code was originally forked from Datadogs
dogstatsd-python, hence the dual license.
.. _Team and repository tags: https://governance.openstack.org/tc/reference/tags/index.html
.. _StoryBoard: https://storyboard.openstack.org/#!/project/872

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name = monasca-statsd
maintainer = monasca
maintainer_email = monasca@lists.launchpad.net
description-file = README.md
description-file = README.rst
summary = Monasca statsd Python client
home-page = https://github.com/openstack/monasca-statsd
keywords=