A package for easy access to Geo Engine instances
Project description
Geo Engine Python Package
This package allows easy access to Geo Engine functionality from Python environments.
Test
Create a virtual environment (e.g., python3 -m venv env
).
Then, install the dependencies with:
python3 -m pip install -r requirements.txt
python3 -m pip install -e .
Run tests with:
pytest
Dependencies
Since we use cartopy
, you need to have the following system dependencies installed.
- GEOS
- PROJ
For Ubuntu, you can use this command:
sudo apt-get install libgeos-dev libproj-dev
Build
You can build the package with:
python3 -m pip install --upgrade build
python3 -m build
Formatting
This packages is formatted according to pycodestyle
.
You can check it by calling:
python3 -m pycodestyle
Our tip is to install autopep8
and use it to format the code.
Lints
Our CI automatically checks for lint errors.
We use pylint
to check the code.
You can check it by calling:
python3 -m pylint geoengine
python3 -m pylint tests
Our tip is to activate linting with pylint
in your IDE.
Distribute to PyPI
Test-PyPI
python3 -m build
python3 -m twine upload --repository testpypi dist/*
PyPI
python3 -m build
python3 -m twine upload --repository pypi dist/*
Try it out
Start a python terminal and try it out:
import geoengine as ge
from datetime import datetime
ge.initialize("http://peter.geoengine.io:6060")
time = datetime.strptime('2014-04-01T12:00:00.000Z', "%Y-%m-%dT%H:%M:%S.%f%z")
workflow = ge.workflow_by_id('4cdf1ffe-cb67-5de2-a1f3-3357ae0112bd')
print(workflow.get_result_descriptor())
workflow.get_dataframe(ge.Bbox([-60.0, 5.0, 61.0, 6.0], [time, time]))
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