Merge pull request #3 from publons/noissue_changes_from_user_suggestions

Removed redundant README and removed library

README.rst

@@ -2,6 +2,9 @@
 Flame analyzer
 =================
 
+.. image:: https://travis-ci.com/publons/flame-analyzer.svg?branch=master
+    :target: https://travis-ci.com/publons/flame-analyzer
+
 This package is an often used part of our debug environment at Publons.
 It helps benchmark and explain inefficiencies in pieces of code as well as
 our dependencies on different service response times.
@@ -23,7 +26,8 @@ Examples
 --------
 
 Saving a Flame graph to an SVG can be done with the following benchmarking
-code::
+
+.. code-block:: python
 
     from flame_analyzer import FileFlame
 
@@ -32,7 +36,9 @@ code::
         # Some expensive piece of code.
         [len(u.email) for u in  User.objects.all()]
 
-Or directly to the IPython notebook::
+Or directly to the IPython notebook
+
+.. code-block:: python
 
     from flame_analyzer import InlineFlame
 
@@ -41,9 +47,9 @@ Or directly to the IPython notebook::
         # 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
 
-
-You can also optionally configure the width by adding the width kwarg::
+.. code-block:: python
 
     with FileFlame(
         './file_flame_test.svg', flame_width=1200,
@@ -60,7 +66,9 @@ 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:::
+and adding to the output flame type your wanting for example
+
+.. code-block:: python
 
     from flame_analyzer import InlineFlame
 
@@ -83,8 +91,6 @@ and adding to the output flame type your wanting for example:::
     class CustomInlineFlame(InlineFlame):
         hook_classes = (CustomHook,)
 
-
-
     with CustomInlineFlame(flame_width=500):
         total_email_length = 0
         for u in User.objects.all():

flame_analyzer/hooks.py

@@ -1,7 +1,5 @@
 from datetime import datetime
 
-from humanize import naturaldelta
-
 """
 Hooks allow the flamegraph functionality to be extended in a framework specific
 way. By default TimeTakenHook is set but depending on your stack you can further
@@ -18,11 +16,11 @@ def before(self):
         self.started = datetime.now()
 
     def after(self):
-        self.time_taken = naturaldelta(datetime.now() - self.started)
+        self.time_taken = str(datetime.now() - self.started)
 
     def modify_flame_options(self, flame_options):
         title = flame_options.get('title', '')
-        title += 'Excecuted context in {}. '.format(self.time_taken)
+        title += 'Executed context in {}. '.format(self.time_taken)
         flame_options['title'] = title
 
         return flame_options

setup.py

@@ -8,7 +8,7 @@
 
 setup(
     name='flame-analyzer',
-    version='0.1.4',
+    version='0.1.5',
     packages=find_packages(
         include=['flame_analyzer'], exclude=('tests')
     ),
@@ -20,9 +20,6 @@
         'A small Django and IPython compatible application for benchmarking '
         'database and IO heavy work.'
     ),
-    install_requires=[
-        'humanize',
-    ],
     url='https://github.com/publons/flame-analyzer',
     author='Matthew Betts, Aidan Houlihan',
     author_email='[email protected]',

tests/test_hooks.py

@@ -16,7 +16,7 @@ def test_time_is_tracked(self):
 
         modified_options = self.hook.modify_flame_options({})
         self.assertEqual(
-            'Excecuted context in a second. ',
+            'Executed context in {}. '.format(self.hook.time_taken),
             modified_options['title'],
         )