Monasca statsd Python client
Project description
Team and repository tags
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 Datadog’s dogstatsd-python, hence the dual license.
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