log-metrics
log-metrics is a tiny metrics logger, based on the l2met format. Meant for use on Heroku, his allows you to send custom metrics to Librato.
You can find more information on these custom metrics here.
Installation
$ pip install log-metrics
Usage
Everything takes place from the log_metrics module, which can be imported like so:
>>> import log_metrics
Samples
>>> log_metrics.sample('process.foo.memory.mb', '52.54')
sample#process.foo.memory.mb=52.54
Measurements
>>> log_metrics.measure('myfoo.ms', '150')
measure#myfoo.ms=150
Uniques
>>> log_metrics.unique('user.clicked', 'bob')
unique#user.clicked=bob
>>> log_metrics.unique('user.clicked', 'joey')
unique#user.clicked=joey
>>> log_metrics.unique('user.clicked', 'jenny')
unique#user.clicked=jenny
Counters
>>> log_metrics.increment('myfoo')
count#myfoo=1
>>> log_metrics.increment('myfoo', 3)
count#myfoo=3
Timers
>>> with log_metrics.timer('my-timed-context'):
... time.sleep(1)
measure#my-timed-context.ms=1001.20
>>> @log_metrics.timer('my-timed-decorator'):
... def my_func():
... time.sleep(0.5)
>>> my_func()
measure#my-timed-decorator.ms=504.20
Metric Groups
>>> with log_metrics.group() as g:
... g.measure('my-measurement', 2)
... g.increment('my-counter')
measure#my-measurement=2 count#my-counter=1
>>> g = log_metrics.group()
>>> g.measure('my-measurement', 2)
>>> g.increment('my-counter')
>>> g.emit()
measure#my-measurement=2 count#my-counter=1
Sources and Prefixes
Sources and prefixes can be defined like so:
>>> log_metrics.increment('my-counter', prefix='awesome')
count#awesome.my-counter=1
>>> log_metrics.measure('my-measurement', 50, source='testing')
source=testing measure#my-measurement=50
These arguments are also supported for group functions:
>>> g = log_metrics.group(prefix='my-prefix', source='my-metric-source')
>>> g.increment('my-amount')
>>> g.increment('my-measurement')
>>> g.emit()
source=my-metric-source count#my-prefix.my-amount=1 count#my-prefix.my-amount1=1 count#my-prefix.my-amount2=1
History
0.0.4 (2014-04-17)
‘group’ API now operational outside of a context manager.
Minor code changes.
0.0.3 (2014-04-14)
Introduced the ‘group’ API.
0.0.2 (2014-04-14)
Added more documentation for simple usage.
Worked on installation utilities.
Still no tests :(.
0.0.1 (2014-04-14)
Initial release.
Metadata
Release files for log-metrics 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| log-metrics-0.0.4.tar.gz | 4.4 kB | Details |
Release files / log-metrics-0.0.4.tar.gz
| Download URL | log-metrics-0.0.4.tar.gz |
|---|---|
| Size | 4.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
893ff6fea326f139577aa6569b0eba93cf1216d0fadc9fe588b0a757fe82b479
|
|
BLAKE2b-256 checksum How to use checksums |
a96d5274c945fd62a78a2f6b12081ec8b4de105c2ede039ee5e42aac546a6ff9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |