A Python event auditing and profiling multitool
Seagrass is a library providing fast, pluggable hooks for instrumenting Python code.
You can install the latest version of Seagrass using pip
:
pip install seagrass
At a low level, Seagrass is just a wrapper around Python's context managers and function decorators. Working in conjunction, these two features make it possible to instrument and attach context to arbitrary functions and blocks of code. However, at the far end it can be tedious to have to manage, configure, and toggle code hooks using just the standard library.
Seagrass provides a framework for developing hot-swappable hooks and managing
them at scale. For instance, suppose you wanted to count the number of times a
function was entered and see how much time was spent in it. You could use
Seagrass's built-in CounterHook
and TimerHook
as follows:
import seagrass
from seagrass import Auditor
from seagrass.hooks import CounterHook, TimerHook
auditor = Auditor()
hooks = [CounterHook(), TimerHook()]
@auditor.audit(seagrass.auto, hooks=hooks)
def some_function_i_want_to_audit():
...
with auditor.start_auditing(log_results=True):
some_function_i_want_to_audit()
Alternatively, you could use the ProfilerHook
hook to get finer-grained
performance statistics based on Python's
cProfile
module.
Seagrass really starts to shine once you start writing your own
hooks through the
ProtoHook
interface, or using one of the lightly-configurable hooks such as
LoggingHook
or
ContextManagerHook
.
You can write one set of hooks that transfer across multiple projects and toggle
them on-demand, filter them by event name, attach logging context with them, and
so on.
Check out the quickstart tutorial for a longer crash course on using Seagrass.
The full documentation for Seagrass is available on ReadTheDocs: https://seagrass.readthedocs.io/en/stable/