Pymetrix-Python

What is Pymetrix?

Pymetrix is a plug-and-play analytics library written in Python.

Usage

Pymetrix is really easy to integrate with your projects. Here’s an example:

Let’s say you want to monitor a method foo() defined as:

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from random import randint

def foo():
    print(f"Hello world {randint(0,1000000)}!")

After adding the required lines, the code will look something like this:

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from random import randint
from metrics.metrics import Metrics

metricman = Metrics(__file__)
foo_obj = None

def foo():
    print(f"Hello world {randint(0,1000000)}!")
    if foo_obj is None:
        ep1 = endpoints.Endpoint(endpoint="/", id=foo)
        foo_obj = flow.FlowNode(ep1, name="Object1")

    metricman.add_to_analytics(foo_obj, layerName="foo")

You can access the metrics of foo() from the metricman object with:

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metricman.display(id='foo')

To get all the metrics of all the methods at once:

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metricman.display()

For looking into what more Pymetrix can do, head to tests/flow_test.py.

Pymetrix: The Open Source Plug and Play Python Analytics Library

Pymetrix Developer Docs

TOC

Pymetrix-Python

What is Pymetrix?

Usage

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