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Description:

geodataflow.core 0.2.1

geodataflow.core
The main subpackage of GeodataFlow which implements basic building blocks (Pipeline engine & Modules) and commonly used functionalities.
GeodataFlow is a Geoprocessing framework for fetching, translating and manipulating Geospatial data (Raster, Vector, EO/STAC collections) by using a Pipeline or sequence of operations on input data. It is very much like the GDAL library which handles raster and vector data.
The project is split up into several namespace packages. geodataflow.core implements core functionalities: the Pipeline engine and a CLI tool to run workflows.
Workflow examples
Assuming you are using geodataflow.spatial (GDAL/OGR) as active backend implementation, GeodataFlow can run workflows as the following:

Converting a Shapefile to GeoPackage:
# ==============================================================
# Pipeline sample to convert a Shapefile to GeoPackage.
# ==============================================================
{
"pipeline": [
{
"type": "FeatureReader",
"connectionString": "input.shp"
},
# Extract the Centroid of input geometries.
{
"type": "GeometryCentroid"
},
# Transform CRS of geometries.
{
"type": "GeometryTransform",
"sourceCrs": 4326,
"targetCrs": 32630
},
# Save features to Geopackage.
{
"type": "FeatureWriter",
"connectionString": "output.gpkg"
}
]
}

Fetching metadata of a S2L2A Product (STAC):
# ==============================================================
# Pipeline sample to fetch metadata of a S2L2A Product (STAC).
# ==============================================================
{
"pipeline": [
{
"type": "FeatureReader",

# Define the input AOI in an embedded GeoJson.
"connectionString": {
"type": "FeatureCollection",
"crs": {
"type": "name",
"properties": { "name": "EPSG:4326" }
},
"features": [
{
"type": "Feature",
"properties": { "id": 0, "name": "My AOI for testing" },
"geometry": {
"type": "Polygon",
"coordinates": [[
[-1.746826,42.773227],
[-1.746826,42.860866],
[-1.558685,42.860866],
[-1.558685,42.773227],
[-1.746826,42.773227]
]]
}
}
]
}
},
# Transform CRS of geometries.
{
"type": "GeometryTransform",
"sourceCrs": 4326,
"targetCrs": 32630
},
# Fetch metadata of EO Products that match one SpatioTemporial criteria.
{
"type": "EOProductCatalog",

"driver": "STAC",
"provider": "https://earth-search.aws.element84.com/v0/search",
"product": "sentinel-s2-l2a-cogs",

"startDate": "2021-09-25",
"endDate": "2021-10-05",
"closestToDate": "2021-09-30",
"filter": "",

"preserveInputCrs": true
},
# Save features to Geopackage.
{
"type": "FeatureWriter",
"connectionString": "output.gpkg"
}
]
}

Installation
geodataflow.core just provides basic built-in modules, you need to install one of available backends in order to have a complete list of useful modules.
Using pypi
To install the latest stable version from pypi, write this in the command-line:
> pip install geodataflow.core

To view all available CLI tool commands and options:
> geodataflow --help

Listing all available modules:
> geodataflow --modules

Using docker
Building the container with:
> docker build -f ./Dockerfile.core -t geodataflow/cli:1.0.0 .

Getting start:
> docker run --rm --name gdf geodataflow/cli:1.0.0 --help
> docker run --rm --name gdf geodataflow/cli:1.0.0 --modules

Creating an interactive bash shell:
> docker run --rm -it --entrypoint "bash" geodataflow/cli:1.0.0

Contribute
Have you spotted a typo in our documentation? Have you observed a bug while running GeodataFlow? Do you have a suggestion for a new feature?
Don't hesitate and open an issue or submit a pull request, contributions are most welcome!
License
GeodataFlow is licensed under Apache License v2.0.
See LICENSE file for details.
Credits
GeodataFlow is built on top of amazingly useful open source projects. See NOTICE file for details about those projects
and their licenses.
Thank you to all the authors of these projects!