goblinfish-metrics-process-timing 0.0.3.dev1

Context-managed metrics tracking and output, including but not limited to process/subprocess latencies latencies

The goblinfish.metrics.process_timing Package

Provides context-manager classes to name, track and report elapsed-time and other metrics for top-level process entry-points (like AWS Lambda Function handlers) and sub-processes within them.

Quick Start

Install in your project:

# Install with pip
pip install goblinfish-metrics-process_timing

# Install with pipenv
pipenv install goblinfish-metrics-process_timing

Import in your code:

from goblinfish.metrics.process_timing import ProcessTimer

Create the timing-tracker instance:

tracker = ProcessTimer()

Decorate your top-level/entry-point function:

@tracker.track
def some_function():
    ...

Add any sub-process timers:

@tracker.track
def some_function():
    ...

    with tracker.timer('some_process_name'):
        # Do stuff here
        ...

When this code is executed, after the context created by the @tracker.track decorator is complete, it will print something that looks like this:

{"some_process_name": 0.0, "some_function": 0.0}

More detailed examples can be found in the examples directory in the repository.

Contribution guidelines

At this point, contributions are not accepted — I need to finish configuring the repository, deciding on whether I want to set up automated builds for pull-requests, and probably several other items.

Who do I talk to?

The current maintainer(s) will always be listed in the [maintainers] section of the pyproject.toml file in the repository.