Issue #40: add delegator for dynamically detected cube processes

adds a property `dynamic` to ImageCollectionClient instances,
which allows to call processes that are dynamically detected from the
backend process listing (and not necessarily predefined in the client)

Author: soxofaan

openeo/rest/connection.py

@@ -174,6 +174,7 @@ def __init__(self, url, auth: AuthBase = None, session: requests.Session = None)
         """
         super().__init__(root_url=url, auth=auth, session=session)
         self._cached_capabilities = None
+        self._process_registry = None
 
         # Initial API version check.
         if self._api_version.below(self._MINIMUM_API_VERSION):
@@ -267,6 +268,15 @@ def capabilities(self) -> 'Capabilities':
 
         return self._cached_capabilities
 
+    def process_registry(self) -> 'ProcessRegistry':
+        """
+        Load all processes supported by the backend (lazy/cached)
+        :return:  ProcessRegistry
+        """
+        if self._process_registry is None:
+            self._process_registry = ProcessRegistry.from_connection(connection=self)
+        return self._process_registry
+
     @deprecated("Use 'list_output_formats' instead")
     def list_file_types(self) -> dict:
         return self.list_output_formats()
@@ -554,3 +564,23 @@ def session(userid=None, endpoint: str = "https://openeo.org/openeo") -> Connect
     """
     return connect(url=endpoint)
 
+
+class ProcessRegistry:
+    """
+    Registry of process specs (e.g. the processes supported by a backend)
+    """
+    def __init__(self, processes: dict):
+        self._reg = processes
+
+    @classmethod
+    def from_connection(cls, connection=Connection):
+        """Factory to load process registry from given backend connection."""
+        # Get as list from API
+        processes = connection.get('/processes').json()['processes']
+        # Make it a dictionary for more efficient retrieval
+        processes = {p['id']: p for p in processes}
+        return cls(processes=processes)
+
+    def get_parameters(self, process_id: str) -> List[dict]:
+        """Get parameters for given process_id."""
+        return self._reg[process_id]["parameters"]

openeo/rest/imagecollectionclient.py

@@ -31,6 +31,7 @@ def __init__(self, node_id: str, builder: GraphBuilder, session: 'Connection', m
         self.session = session
         self.graph = builder.processes
         self.metadata = metadata
+        self.dynamic = DynamicCubeMethodDelegator(cube=self)
 
     def __str__(self):
         return "ImageCollection: %s" % self.node_id
@@ -1070,3 +1071,59 @@ def to_graphviz(self):
             # TODO: add subgraph for "callback" arguments?
 
         return graph
+
+
+class DynamicProcessException(Exception):
+    pass
+
+
+class _DynamicCubeMethod:
+    """
+    A dynamically detected process bound to a raster cube.
+    The process should have a single "raster-cube" parameter.
+    """
+
+    def __init__(self, cube: ImageCollectionClient, process_id: str, parameters: List[dict]):
+        self.cube = cube
+        self.process_id = process_id
+        self.parameters = parameters
+
+        # Find raster-cube parameter.
+        expected_schema = {"type": "object", "subtype": "raster-cube"}
+        names = [p["name"] for p in self.parameters if p["schema"] == expected_schema]
+        if len(names) != 1:
+            raise DynamicProcessException("Need one raster-cube parameter but found {c}".format(c=len(names)))
+        self.cube_parameter = names[0]
+
+    def __call__(self, *args, **kwargs):
+        """Call the "cube method": pass cube and other arguments to the process."""
+        arguments = {
+            self.cube_parameter: {"from_node": self.cube.node_id}
+        }
+        # TODO: more advanced parameter checking (required vs optional), normalization based on type, ...
+        for i, arg in enumerate(args):
+            arguments[self.parameters[i]["name"]] = arg
+        for key, value in kwargs.items():
+            assert any(p["name"] == key for p in self.parameters)
+            assert key not in arguments
+            arguments[key] = value
+
+        return self.cube.graph_add_process(
+            process_id=self.process_id,
+            args=arguments,
+        )
+
+
+class DynamicCubeMethodDelegator:
+    """
+    Wrapper for a DataCube to group and delegate to dynamically detected processes
+    (depending on a particular backend or API spec)
+    """
+
+    def __init__(self, cube: ImageCollectionClient):
+        self.cube = cube
+
+    def __getattr__(self, process_id):
+        self.process_registry = self.cube.session.process_registry()
+        parameters = self.process_registry.get_parameters(process_id)
+        return _DynamicCubeMethod(self.cube, process_id=process_id, parameters=parameters)

tests/rest/test_imagecollectionclient.py

@@ -14,6 +14,8 @@
 def session040(requests_mock):
     requests_mock.get(API_URL + "/", json={"api_version": "0.4.0"})
     session = openeo.connect(API_URL)
+    # Reset graph builder
+    GraphBuilder.id_counter = {}
     return session
 
 
@@ -82,3 +84,29 @@ def result_callback(request, context):
     path = tmpdir.join("tmp.tiff")
     session040.load_collection("SENTINEL2").download(str(path), format="GTIFF")
     assert path.read() == "tiffdata"
+
+
+def test_dynamic_cube_method(session040, requests_mock):
+    processes = [
+        {
+            "id": "make_larger",
+            "description": "multiply a raster cube with a factor",
+            "parameters": [
+                {"name": "data", "schema": {"type": "object", "subtype": "raster-cube"}},
+                {"name": "factor", "schema": {"type": "float"}},
+            ]}
+    ]
+    requests_mock.get(API_URL + '/processes', json={"processes": processes})
+    requests_mock.get(API_URL + "/collections/SENTINEL2", json={"foo": "bar"})
+
+    cube = session040.load_collection("SENTINEL2")
+    cube = cube.dynamic.make_larger(factor=42)
+    assert set(cube.graph.keys()) == {"loadcollection1", "makelarger1"}
+    assert cube.graph["makelarger1"] == {
+        "process_id": "make_larger",
+        "arguments": {
+            "data": {"from_node": "loadcollection1"},
+            "factor": 42,
+        },
+        "result": False
+    }