Riverscapes XML helpers for use across Python3 open-source GIS Stack
Project description
RSXML
This pip module contains a series of classes to help people generate compliant project.rs.xml
files. These files lie at the heart of the Riverscapes Consortium data standards. Each collection of geospatial data is referred to as a "project" and must be accompanied by a single project.rs.xml
file. The file must validate against the set of rules defined in the riverscapes XSD schema.
It is absolutely vital that once you have used this module to write one or more project.rs.xml
files that you validate the output to ensure its compliance with the XSD ruleset. There are many ways to do this; the one we prefer is to use Visual Studio Code free code editor that is capable of validating XML when an XSD is specified. It even possesses Intellisense that can autocomplate XML tags and suggest fixes to problems.
How to Use This Pip Module
The most common use case for this pip module is when you have a collection of data that you want to upload into the Riverscapes Data Exchange. You can use the classes in this module to write the project.rs.xml
file that MUST accompany your data before it can be uploaded. There are two approaches to do this:
Construct a Project Directly
You can construct an instance of a Project
class that incorporates all the necessary subcomponents such as metadata and datasets etc. Once you have constructed an instance of the Project class you can write it to an XML file. Here's a brief example showing a project with one ShapeFile and one Geopackage layer.
project = Project(
name='Test Project',
proj_path='project.rs.xml',
project_type='VBET',
description='This is a test project',
citation='This is a citation',
bounds=ProjectBounds(
centroid=Coords(-21.23, 114.56),
bounding_box=BoundingBox(-22, -21, 114, 116),
filepath='project_bounds.json',
),
meta_data=MetaData(values=[Meta('Test', 'Test Value')]),
realizations=[
Realization(
xml_id='test',
name='Test Realization',
product_version='1.0.0',
date_created=datetime(2021, 1, 1),
summary='This is a test realization',
description='This is a test realization',
meta_data=MetaData(values=[Meta('Test', 'Test Value')]),
datasets=[
Dataset(
xml_id='ds1',
name='Dataset1',
path='datasets/ds1.shp',
ds_type=GeoPackageDatasetTypes.VECTOR,
summary='This is a dataset',
description='This is a dataset',
),
Geopackage(
xml_id='ds2',
name='Dataset2',
path='datasets/ds2.gpkg',
summary='This is a dataset',
description='This is a dataset',
citation='This is a citation',
meta_data=MetaData(values=[Meta('Test', 'Test Value')]),
layers=[
GeopackageLayer(
lyr_name='my_layer1',
name='Layer1',
ds_type=GeoPackageDatasetTypes.VECTOR,
summary='This is a dataset',
description='This is a dataset',
citation='This is a citation',
meta_data=MetaData(values=[Meta('Test', 'Test Value')])
lyr_type='my_layer',
)
]
)
],
outputs=[
Dataset(
xml_id='output1',
name='OutputDS1',
path='datasets/output.tiff',
ds_type=GeoPackageDatasetTypes.RASTER,
summary='This is a input dataset',
description='This is a input dataset',
)
],
)
]
)
# Write it to disk
project.write()
Construct a Project Sequentially
Alternatively you can start by constructing a project object and then add each of the required components. Again, finishing by writing the project to XML file.
project = Project(
name='Test Project',
proj_path='project.rs.xml',
project_type='VBET',
description='This is a test project',
citation='This is a citation',
bounds=ProjectBounds(
centroid=Coords(-21.23, 114.56),
bounding_box=BoundingBox(-22, -21, 114, 116),
filepath='project_bounds.json',
),
)
# Add some project metadata
project.meta_data.add_meta('Test2', 'Test Value 2')
# Add a relaization
my_real = Realization(
xml_id='test',
name='Test Realization',
product_version='1.0.0',
date_created=datetime(2021, 1, 1),
summary='This is a test realization',
description='This is a test realization',
meta_data=MetaData(values=[Meta('Test', 'Test Value')])
)
# Add a dataset
my_real = project.realizations[0]
my_real.datasets.append(
Dataset(
xml_id='test2',
name='Test Dataset 2',
path='test2.gpkg',
ds_type='CSV',
ext_ref='f23b187a-537b-4dd0-8b71-4b7c4a6e9747:Project/Realizations/Realization#REALIZATION1/Datasets/Raster#DEM',
summary='This is a test dataset 2',
description='This is a test dataset 2'
)
)
# Write it to disk
project.write()
# Install
```sh
$ python -m pip install rsxml
Changes
See CHANGES.md
Contribution & Development
RSXML was developed by North Arrow Research Ltd. in collaboration with the Riverscapes Consortium.
License
See LICENSE
Additional Resources
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