Quickstart ========== EO Canvas allows you to submit functions to the WEkEO infrastructure and download the results locally. Namely, you can request an `ESA SNAP toolbox `_ or an `EUMETSAT Data Tailor `_ processing. There is also a `Shearwater Demo `_ service that shows how other systems can be integrated into the API. EO Canvas offers high-level objects to interact with the API, but you can also use the endpoints directly. This is described more in depth in the :doc:`usage ` page. Many of the following examples are also available in the `demo/notebook.ipynb` file. .. note:: Further examples will be available at the `WEkEO4Data repository `_. SNAP ---- .. code:: python from eocanvas.api import Input, Config, ConfigOption from eocanvas.processes import SnapProcess from eocanvas.snap.graph import Graph # You can load the graph from a local file or build it programmatically graph = Graph.from_uri("olci_binding.xml") # The url is a valid WEkEO download URL. It can be retrieved using the HDA Python client inputs = Input(key="img1", url="http://gateway.prod.wekeo2.eu/hda-broker/api/v1/dataaccess/download/66b37374b6a632e1f39b3058") config = Config(key="img1", options=ConfigOption(uncompress=True, sub_path="xfdumanifest.xml")) process = SnapProcess(snap_graph=graph, eo_config=config, eo_input=inputs) # This will submit the process to the API, wait for its completion and download the results process.run() Data Tailor ----------- .. code:: python from eocanvas.api import Input, Config, ConfigOption from eocanvas.processes import DataTailorProcess from eocanvas.datatailor.chain import Chain # Load the Data Tailor chain from a local file chain = Chain.from_file("olci_resample.yaml") # The url is a valid WEkEO download URL. It can be retrieved using the HDA Python client inputs = Input(key="img1", url="http://gateway.prod.wekeo2.eu/hda-broker/api/v1/dataaccess/download/66c357dcb6a632e1f39b3131") process = DataTailorProcess(epct_chain=chain, epct_input=inputs) # This will submit the process to the API, wait for its completion and download the results process.run() Shear Water ----------- .. code:: python from eocanvas.processes import ShearWaterProcess # No need to setup the input through other objects process = ShearWaterProcess(area="Sindian", start_day="2021-01-01", end_day="2021-01-02") process.run()