Enforce 90% Code Coverage for Unit Tests. (#97)

* Enforce 90% Code Coverage for Unit Tests.

* Ignore tensorflow-serving in CodeCov

* Add Build and Coverage Badges

* Change the way we ignore coverage.

For the integration tests we are not interested in holding the 90%
coverage bar. Since we run them in isolation it doesn't report coverage
correctly and even setting a low threshold will fail the build. If we
set IGNORE_COVERAGE=-  then the exit code of coverage result will be
ignored.

Author: iquintero

.codecov.yml

@@ -0,0 +1,2 @@
+ignore:
+  - "**/tensorflow/tensorflow_serving/.*"

.travis.yml

@@ -2,6 +2,9 @@ language: python
 python:
 - '2.7'
 - '3.5'
-install: pip install tox-travis
+install: pip install tox-travis codecov
 script:
 - tox tests/unit
+after_success:
+  - codecov
+

README.rst

@@ -6,6 +6,14 @@
 SageMaker Python SDK
 ====================
 
+.. image:: https://travis-ci.org/aws/sagemaker-python-sdk.svg?branch=master
+   :target: https://travis-ci.org/aws/sagemaker-python-sdk
+   :alt: Build Status
+
+.. image:: https://codecov.io/gh/aws/sagemaker-python-sdk/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/aws/sagemaker-python-sdk
+   :alt: CodeCov
+
 SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.
 
 With the SDK, you can train and deploy models using popular deep learning frameworks: **Apache MXNet** and **TensorFlow**. You can also train and deploy models with **Amazon algorithms**, these are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have **your own algorithms** built into SageMaker compatible Docker containers, you can train and host models using these as well.

tox.ini

@@ -35,7 +35,8 @@ passenv =
 # {posargs} can be passed in by additional arguments specified when invoking tox.
 # Can be used to specify which tests to run, e.g.: tox -- -s
 commands =
-    pytest {posargs}
+    coverage run --source sagemaker -m py.test {posargs}
+    {env:IGNORE_COVERAGE:} coverage report --fail-under=90 --omit */tensorflow/tensorflow_serving/*
 deps =
     pytest
     pytest-cov