- Please sign one of the contributor license agreements below.
- Fork the repo, develop and test your code changes, add docs.
- Make sure that your commit messages clearly describe the changes.
- Send a pull request. (Please Read: Faster Pull Request Reviews)
Here are some guidelines for hacking on google-cloud-python
.
- Adding Features
- Using a Development Checkout
- I'm getting weird errors... Can you help?
- Coding Style
- Running Tests
- Running System Tests
- Test Coverage
- Documentation Coverage and Building HTML Documentation
- Note About
README
as it pertains to PyPI - Travis Configuration and Build Optimizations
- Supported Python Versions
- Versioning
- Contributor License Agreements
In order to add a feature to google-cloud-python
:
- The feature must be documented in both the API and narrative
documentation (in
docs/
). - The feature must work fully on the following CPython versions: 2.7, 3.4, and 3.5 on both UNIX and Windows.
- The feature must not add unnecessary dependencies (where "unnecessary" is of course subjective, but new dependencies should be discussed).
You'll have to create a development environment to hack on
google-cloud-python
, using a Git checkout:
While logged into your GitHub account, navigate to the
google-cloud-python
repo on GitHub.Fork and clone the
google-cloud-python
repository to your GitHub account by clicking the "Fork" button.Clone your fork of
google-cloud-python
from your GitHub account to your local computer, substituting your account username and specifying the destination ashack-on-google-cloud-python
. E.g.:$ cd ${HOME} $ git clone [email protected]:USERNAME/google-cloud-python.git hack-on-google-cloud-python $ cd hack-on-google-cloud-python # Configure remotes such that you can pull changes from the google-cloud-python # repository into your local repository. $ git remote add upstream [email protected]:GoogleCloudPlatform/google-cloud-python.git # fetch and merge changes from upstream into master $ git fetch upstream $ git merge upstream/master
Now your local repo is set up such that you will push changes to your GitHub repo, from which you can submit a pull request.
To work on the codebase and run the tests, we recommend using tox
,
but you can also use a virtualenv
of your own creation.
To create a virtualenv in which to install
google-cloud-python
:$ cd ${HOME}/hack-on-google-cloud-python $ virtualenv --python python2.7 ${ENV_NAME}
You can choose which Python version you want to use by passing a
--python
flag tovirtualenv
. For example,virtualenv --python python2.7
chooses the Python 2.7 interpreter to be installed.From here on in within these instructions, the
${HOME}/hack-on-google-cloud-python/${ENV_NAME}
virtual environment you created above will be referred to as${VENV}
. To use the instructions in the steps that follow literally, use:$ export VENV=${HOME}/hack-on-google-cloud-python/${ENV_NAME}
To install
google-cloud-python
from your source checkout into${VENV}
, run:$ # Make sure you are in the same directory as setup.py $ cd ${HOME}/hack-on-google-cloud-python $ ${VENV}/bin/python setup.py install
Unfortunately using
setup.py develop
is not possible with this project, because it uses namespace packages.
To test your changes, run unit tests with
tox
:$ tox -e py27 $ tox -e py34 $ ...
If you'd like to poke around your code in an interpreter, let
tox
install the environment of your choice:$ # Install only; without running tests $ tox -e ${ENV} --recreate --notest
After doing this, you can activate the virtual environment and use the interpreter from that environment:
$ source .tox/${ENV}/bin/activate (ENV) $ .tox/${ENV}/bin/python
Unfortunately, your changes to the source tree won't be picked up by the
tox
environment, so if you make changes, you'll need to again--recreate
the environment.To run unit tests on a restricted set of packages:
$ tox -e py27 -- core datastore
Alternatively, you can just navigate directly to the package you are currently developing and run tests there:
$ export GIT_ROOT=$(pwd) $ cd ${GIT_ROOT}/core/ $ tox -e py27 $ cd ${GIT_ROOT}/datastore/ $ tox -e py27
As mentioned previously, using
setuptools
in develop mode or apip
editable install is not possible with this library. This is because this library uses namespace packages. For context see Issue #2316 and the relevant PyPA issue.Since
editable
/develop
mode can't be used, packages need to be installed directly. Hence your changes to the source tree don't get incorporated into the already installed package.
If the error mentions Python.h
not being found,
install python-dev
and try again.
On Debian/Ubuntu:
$ sudo apt-get install python-dev
PEP8 compliance, with exceptions defined in
tox.ini
. If you havetox
installed, you can test that you have not introduced any non-compliant code via:$ tox -e lint
In order to make
tox -e lint
run faster, you can set some environment variables:export GOOGLE_CLOUD_TESTING_REMOTE="upstream" export GOOGLE_CLOUD_TESTING_BRANCH="master"
By doing this, you are specifying the location of the most up-to-date version of
google-cloud-python
. The the suggested remote nameupstream
should point to the officialGoogleCloudPlatform
checkout and the the branch should be the main branch on that remote (master
).
Exceptions to PEP8:
- Many unit tests use a helper method,
_call_fut
("FUT" is short for "Function-Under-Test"), which is PEP8-incompliant, but more readable. Some also use a local variable,MUT
(short for "Module-Under-Test").
- To run all tests for
google-cloud-python
on a single Python version, runpy.test
from your development virtualenv (See Using a Development Checkout above).
To run the full set of
google-cloud-python
tests on all platforms, installtox
(https://tox.readthedocs.io/en/latest/) into a system Python. Thetox
console script will be installed into the scripts location for that Python. Whilecd
'-ed to thegoogle-cloud-python
checkout root directory (it containstox.ini
), invoke thetox
console script. This will read thetox.ini
file and execute the tests on multiple Python versions and platforms; while it runs, it creates avirtualenv
for each version/platform combination. For example:$ sudo --set-home /usr/bin/pip install tox $ cd ${HOME}/hack-on-google-cloud-python/ $ /usr/bin/tox
To run system tests you can execute:
$ tox -e system-tests $ tox -e system-tests3
or run only system tests for a particular package via:
$ python system_tests/run_system_test.py --package {package} $ python3 system_tests/run_system_test.py --package {package}
To run a subset of the system tests:
$ tox -e system-tests -- datastore storage $ python system_tests/attempt_system_tests.py datastore storage
This alone will not run the tests. You'll need to change some local auth settings and change some configuration in your project to run all the tests.
System tests will be run against an actual project and so you'll need to provide some environment variables to facilitate authentication to your project:
GOOGLE_APPLICATION_CREDENTIALS
: The path to a JSON key file; seesystem_tests/app_credentials.json.sample
as an example. Such a file can be downloaded directly from the developer's console by clicking "Generate new JSON key". See private key docs for more details. In order for Logging system tests to work, the Service Account will also have to be made a project Owner. This can be changed under "IAM & Admin".
Examples of these can be found in
system_tests/local_test_setup.sample
. We recommend copying this tosystem_tests/local_test_setup
, editing the values and sourcing them into your environment:$ source system_tests/local_test_setup
For datastore tests, you'll need to create composite indexes with the
gcloud
command line tool:# Install the app (App Engine Command Line Interface) component. $ gcloud components install app-engine-python # Authenticate the gcloud tool with your account. $ GOOGLE_APPLICATION_CREDENTIALS="path/to/app_credentials.json" $ gcloud auth activate-service-account \ > --key-file=${GOOGLE_APPLICATION_CREDENTIALS} # Create the indexes $ gcloud preview datastore create-indexes system_tests/data/index.yaml
For datastore query tests, you'll need stored data in your dataset. To populate this data, run:
$ python system_tests/populate_datastore.py
If you make a mistake during development (i.e. a failing test that prevents clean-up) you can clear all system test data from your datastore instance via:
$ python system_tests/clear_datastore.py
System tests can also be run against local emulators that mock the production services. To run the system tests with the
datastore
emulator:$ tox -e datastore-emulator $ GOOGLE_CLOUD_DISABLE_GRPC=true tox -e datastore-emulator
This also requires that the
gcloud
command line tool is installed. If you'd like to run them directly (outside of atox
environment), first start the emulator and take note of the process ID:$ gcloud beta emulators datastore start --no-legacy 2>&1 > log.txt & [1] 33333
then determine the environment variables needed to interact with the emulator:
$ gcloud beta emulators datastore env-init export DATASTORE_LOCAL_HOST=localhost:8417 export DATASTORE_HOST=http://localhost:8417 export DATASTORE_DATASET=google-cloud-settings-app-id export DATASTORE_PROJECT_ID=google-cloud-settings-app-id
using these environment variables run the emulator:
$ DATASTORE_HOST=http://localhost:8471 \ > DATASTORE_DATASET=google-cloud-settings-app-id \ > GOOGLE_CLOUD_NO_PRINT=true \ > python system_tests/run_system_test.py \ > --package=datastore --ignore-requirements
and after completion stop the emulator and any child processes it spawned:
$ kill -- -33333
To run the system tests with the
pubsub
emulator:$ tox -e pubsub-emulator $ GOOGLE_CLOUD_DISABLE_GRPC=true tox -e pubsub-emulator
If you'd like to run them directly (outside of a
tox
environment), first start the emulator and take note of the process ID:$ gcloud beta emulators pubsub start 2>&1 > log.txt & [1] 44444
then determine the environment variables needed to interact with the emulator:
$ gcloud beta emulators pubsub env-init export PUBSUB_EMULATOR_HOST=localhost:8897
using these environment variables run the emulator:
$ PUBSUB_EMULATOR_HOST=localhost:8897 \ > python system_tests/run_system_test.py \ > --package=pubsub
and after completion stop the emulator and any child processes it spawned:
$ kill -- -44444
- The codebase must have 100% test statement coverage after each commit.
You can test coverage via
tox -e cover
.
If you fix a bug, and the bug requires an API or behavior modification, all documentation in this package which references that API or behavior must be changed to reflect the bug fix, ideally in the same commit that fixes the bug or adds the feature.
To build and review docs (where ${VENV}
refers to the virtualenv you're
using to develop google-cloud-python
):
After following the steps above in "Using a Development Checkout", install Sphinx and all development requirements in your virtualenv:
$ cd ${HOME}/hack-on-google-cloud-python $ ${VENV}/bin/pip install Sphinx
Change into the
docs
directory within yourgoogle-cloud-python
checkout and execute themake
command with some flags:$ cd ${HOME}/hack-on-google-cloud-python/google-cloud-python/docs $ make clean html SPHINXBUILD=${VENV}/bin/sphinx-build
The
SPHINXBUILD=...
argument tells Sphinx to use the virtualenv Python, which will have both Sphinx andgoogle-cloud-python
(for API documentation generation) installed.Open the
docs/_build/html/index.html
file to see the resulting HTML rendering.
As an alternative to 1. and 2. above, if you have tox
installed, you
can build the docs via:
$ tox -e docs
The description on PyPI for the project comes directly from the
README
. Due to the reStructuredText (rst
) parser used by
PyPI, relative links which will work on GitHub (e.g. CONTRIBUTING.rst
instead of
https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/CONTRIBUTING.rst
)
may cause problems creating links or rendering the description.
All build scripts in the .travis.yml
configuration file which have
Python dependencies are specified in the tox.ini
configuration.
They are executed in the Travis build via tox -e ${ENV}
where
${ENV}
is the environment being tested.
If new tox
environments are added to be run in a Travis build, they
should be listed in [tox].envlist
as a default environment.
We speed up builds by using the Travis caching feature.
We intentionally do not cache the .tox/
directory. Instead, we
allow the tox
environments to be re-built for every build. This
way, we'll always get the latest versions of our dependencies and any
caching or wheel optimization to be done will be handled automatically
by pip
.
We support:
Supported versions can be found in our tox.ini
config.
We explicitly decided not to support Python 2.5 due to decreased usage and lack of continuous integration support.
We have dropped 2.6 as a supported version as well since Python 2.6 is no longer supported by the core development team.
We also explicitly decided to support Python 3 beginning with version 3.4. Reasons for this include:
- Encouraging use of newest versions of Python 3
- Taking the lead of prominent open-source projects
- Unicode literal support which allows for a cleaner codebase that works in both Python 2 and Python 3
This library follows Semantic Versioning.
It is currently in major version zero (0.y.z
), which means that anything
may change at any time and the public API should not be considered
stable.
Before we can accept your pull requests you'll need to sign a Contributor License Agreement (CLA):
- If you are an individual writing original source code and you own the intellectual property, then you'll need to sign an individual CLA.
- If you work for a company that wants to allow you to contribute your work, then you'll need to sign a corporate CLA.
You can sign these electronically (just scroll to the bottom). After that, we'll be able to accept your pull requests.