Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rsxml-2.0.6.tar.gz (43.8 kB view details)

Uploaded Source

Built Distribution

rsxml-2.0.6-py3-none-any.whl (45.8 kB view details)

Uploaded Python 3

File details

Details for the file rsxml-2.0.6.tar.gz.

File metadata

  • Download URL: rsxml-2.0.6.tar.gz
  • Upload date:
  • Size: 43.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for rsxml-2.0.6.tar.gz
Algorithm Hash digest
SHA256 87b7d3f3edd928ea3786d71f41b7579146666311c2f8f6af7766edcdeda72172
MD5 942a764bc2b2a741785cd3b5653307d3
BLAKE2b-256 0f0e3744378c72d73311ac8f68d05b2f364ae4a609d567b5eb3e466952e49e59

See more details on using hashes here.

File details

Details for the file rsxml-2.0.6-py3-none-any.whl.

File metadata

  • Download URL: rsxml-2.0.6-py3-none-any.whl
  • Upload date:
  • Size: 45.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for rsxml-2.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 3ccd169f2c6857d7355d202a2b399e8fdbcc882f652dbd802bf2f024e2a971e3
MD5 6ca8ff3bf59edea264b5c25842ad1553
BLAKE2b-256 fe61db1a1db7b956dc5f3eb5f618d084b2b0fd532e618f5c541bba8c378c618d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page