Send runtime measurements of your code to InfluxDB
Project description
Timekeeper is a library for instrumentation of live Python code by sending measurements to InfluxDB.
Requires Python 2.7 or 3.2+, and InfluxDB 0.9.0+.
Usage
=====
You can use a context manager or decorate a function to record the wall clock time of how long it took that function or block of code to complete:
```python
from timekeeper import TimeKeeper
tk = TimeKeeper(
"udp+influxdb://localhost/databasename",
prefix="location-1.cluster-1.app-1.", # if you prefer Graphite style over tags
tags={"host": "location-1.cluster-1.app-1"},
)
@tk.decorate("some_slow_function", tags={"foo": "bar"})
def slowpoke():
sleep(9001)
def slowpoke2():
with tk.context("some_other_slow_function", tags={"foo": "baz"}):
sleep(9001)
```
Installation
============
```
pip install timekeeper
```
---
    
Requires Python 2.7 or 3.2+, and InfluxDB 0.9.0+.
Usage
=====
You can use a context manager or decorate a function to record the wall clock time of how long it took that function or block of code to complete:
```python
from timekeeper import TimeKeeper
tk = TimeKeeper(
"udp+influxdb://localhost/databasename",
prefix="location-1.cluster-1.app-1.", # if you prefer Graphite style over tags
tags={"host": "location-1.cluster-1.app-1"},
)
@tk.decorate("some_slow_function", tags={"foo": "bar"})
def slowpoke():
sleep(9001)
def slowpoke2():
with tk.context("some_other_slow_function", tags={"foo": "baz"}):
sleep(9001)
```
Installation
============
```
pip install timekeeper
```
---
    
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