gbdxtools is a package for ordering imagery and launching workflows on DigitalGlobe's GBDX platform.

In order to use gbdxtools, you need GBDX credentials. Email GBDX-Support@digitalglobe.com to get these.

Documentation is hosted here: http://gbdxtools.readthedocs.org/en/latest/. Example scripts can be found under the /examples directory of this repo.

Currently, the following Python versions are supported: 2.7, 3.3, 3.4, 3.5

See the license file for license rights and limitations (MIT).

There have been reports of authentication errors while creating a gbdx interface if the file ~/.gbdx-config is already populated with an access token. In this case, delete everything below and including the line [gbdx_token] within ~/.gbdx-config and create a new gbdx interface.

To install the latest stable version on pypi:

pip install gbdxtools

Optional: you can install the current version of the master branch with:

pip install git+https://github.com/digitalglobe/gbdxtools

Keep in mind that the master branch is constantly under development.

These are various tips to follow if your installation fails.

pip

Make sure you have the latest pip version:

pip install pip --upgrade

Ubuntu users

If you run into trouble with the installation of cryptography, make sure that the following dependencies are installed:

sudo apt-get install build-essential libssl-dev libffi-dev python-dev

Mac OSX Users

If you run into trouble with the installation of cryptography and see a message that <ffi.h> could not be found, you can run:

xcode-select --install

Then run "pip install gbdxtools" again. See stackoverflow for discussion on what is going wrong and why this fixes it (http://stackoverflow.com/questions/27328049/missing-usr-include-after-yosemite-and-xcode-install)

If you are running in a virtualenv and run into issues you may need upgrade pip in the virtualenv:

cd <your_project_folder>
. venv/bin/activate
pip install --upgrade pip
pip install --upgrade gbdxtools
# you might also need to remove token from your .gbdx-config file
nano -w ~.gbdx-config
# then, remove the [gbdx_token] section and json= part

conda

If your installation with pip keeps failing, try creating a conda environment and installing gbdxtools within this environment.

For Ubuntu, install conda with the following commands (choose default options at prompt):

wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
bash Miniconda2-latest-Linux-x86_64.sh

For OS X, install conda with the following commands (choose default options at prompt):

wget https://repo.continuum.io/miniconda/Miniconda2-latest-MacOSX-x86_64.sh
bash Miniconda2-latest-MacOSX-x86_64.sh

Make sure that conda is in your path. Then create a conda environment:

conda create -n env python ipython   

Activate the environment:

source activate env

Upgrade pip (if required):

pip install pip --upgrade

Install gbdxtools:

pip install gbdxtools

Clone the repo:

git clone https://github.com/digitalglobe/gbdxtools.git

cd gbdxtools

Start a virtual environment:

virtualenv venv

. venv/bin/activate

Install the requirements:

pip install -r requirements.txt

Please follow this python style guide: https://google.github.io/styleguide/pyguide.html. 80-90 columns is fine.

Tests

This package uses pytest http://pytest.org/latest/contents.html.

pytest allows for tests to be written using various frameworks, so unittest.TestCase, pytest, and nose style tests will be detected and run.

To run all of the tests:

py.test tests

If you want only the unit or integration tests do either of:

py.test tests/integration
py.test tests/unit

Note: you may have to issue the following in your virtualenv for the tests to find gbdxtools properly:

pip install -e .

Create a new version

To create a new version:

bumpversion ( major | minor | patch )
git push --tags

Don't forget to update the changelog and upload to pypi.

Contributing

Please contribute! Please make pull requests directly to master. Before making a pull request, please:

• Ensure that all new functionality is covered by unit tests.
• Verify that all unit tests are passing.
• Ensure that all functionality is properly documented.
• Ensure that all functions/classes have proper docstrings so sphinx can autogenerate documentation.
• Fix all versions in setup.py (and requirements.txt)