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).
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)