flame-analyzer 0.1.2

Examples

Saving a Flame graph to an SVG can be done with the following benchmarking code:

from flame_analyzer import FileFlame


with FileFlame('./file_flame_test.svg'):
    # Some expensive piece of code.
    [len(u.email) for u in  User.objects.all()]

Or directly to the IPython notebook:

from flame_analyzer import InlineFlame


with InlineFlame():
    # Some expensive piece of code.
    [len(u.email) for u in  User.objects.all()]

You can also optionally configure the width by adding the width kwarg:

with FileFlame(
    './file_flame_test.svg', flame_width=1200,
    options={'title': 'This is my test title'}
):
    # some expensive piece of code
    [len(u.email) for u in  User.objects.all()]

Extensions

By default both IPython and Django are optional imports meaning you can install this library and use it in the terminal to debug your app code without them installed. Support can be added for other Database frameworks or if your wanting to hook into the context enter/exit methods by creating your own hooks and adding to the output flame type your wanting for example::

from flame_analyzer import InlineFlame

class CustomHook:
    """
    Append the time taken to execute to the flame graphs title.
    """
    def before(self):
        self.called_before = '< Called before code execution >'

    def after(self):
        self.called_after = '< Called after code execution >'

    def modify_flame_options(self, flame_options):
        title = flame_options.get('title', '')
        flame_options['title'] = self.called_before + ' --- ' + self.called_after
        return flame_options


class CustomInlineFlame(InlineFlame):
    hook_classes = (CustomHook,)



with CustomInlineFlame(flame_width=500):
    total_email_length = 0
    for u in User.objects.all():
        total_email_length += len(u.email)
    print(total_email_length)

Outputs the IPython viewed Graph:

Credits to the following projects:

• https://github.com/brendangregg/FlameGraph

• https://github.com/23andMe/djdt-flamegraph

Home-page: https://github.com/publons/flame-analyzer Author: Matthew Betts, Aidan Houlihan Author-email: aidan@publons.com License: MIT License Description: UNKNOWN Platform: UNKNOWN Classifier: Environment :: Web Environment Classifier: Framework :: Django Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3.0 Classifier: Programming Language :: Python :: 3.6 Classifier: Topic :: Internet :: WWW/HTTP Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content