add test

tests/data/graphs/fit_curve.json

@@ -0,0 +1,116 @@
+{
+    "loadcollection1":{
+       "process_id":"load_collection",
+       "arguments":{
+          "bands":[
+             "B02",
+             "B03"
+          ],
+          "id":"boa_sentinel_2",
+          "spatial_extent":{
+             "west":11.389,
+             "east":11.39,
+             "south":46.349,
+             "north":46.35
+          },
+          "temporal_extent":[
+             "2016-09-01",
+             "2018-09-01"
+          ]
+       }
+    },
+    "apply1":{
+       "process_id":"apply",
+       "arguments":{
+          "data":{
+             "from_node":"loadcollection1"
+          },
+          "process":{
+             "process_graph":{
+                "clip1":{
+                   "process_id":"clip",
+                   "arguments":{
+                      "max":5000,
+                      "min":0,
+                      "x":{
+                         "from_parameter":"x"
+                      }
+                   },
+                   "result":true
+                }
+             }
+          }
+       }
+    },
+    "fitcurve1":{
+       "process_id":"fit_curve",
+       "arguments":{
+          "data":{
+             "from_node":"apply1"
+          },
+          "dimension":"time",
+          "function":{
+             "process_graph":{
+                "arrayelement1":{
+                   "process_id":"array_element",
+                   "arguments":{
+                      "data":{
+                         "from_parameter":"parameters"
+                      },
+                      "index":0
+                   }
+                },
+                "arrayelement2":{
+                   "process_id":"array_element",
+                   "arguments":{
+                      "data":{
+                         "from_parameter":"parameters"
+                      },
+                      "index":1
+                   }
+                },
+                "multiply1":{
+                   "process_id":"multiply",
+                   "arguments":{
+                      "x":{
+                         "from_node":"arrayelement2"
+                      },
+                      "y":{
+                         "from_parameter":"x"
+                      }
+                   }
+                },
+                "add1":{
+                   "process_id":"add",
+                   "arguments":{
+                      "x":{
+                         "from_node":"arrayelement1"
+                      },
+                      "y":{
+                         "from_node":"multiply1"
+                      }
+                   },
+                   "result":true
+                }
+             }
+          },
+          "parameters":[
+             1,
+             2
+          ]
+       }
+    },
+    "saveresult1":{
+       "process_id":"save_result",
+       "arguments":{
+          "data":{
+             "from_node":"fitcurve1"
+          },
+          "format":"NetCDF",
+          "options":{
+
+          }
+       },
+       "result":true
+    }
+ }

tests/test_pg_parser.py

@@ -32,6 +32,20 @@ def test_full_parse(process_graph_path):
 
     parsed_graph_from_file.plot()
 
+def test_fit_curve_parse():
+    flat_process_graph = json.load(open(TEST_DATA_DIR / "graphs" / "fit_curve.json"))
+    parsed_graph = OpenEOProcessGraph.from_json(json.dumps(flat_process_graph))
+    assert isinstance(parsed_graph, OpenEOProcessGraph)
+
+    # Dry-run to_callable after parsing
+    mock_process_registry = {
+        process_id: Process({}, lambda process_id: logger.debug(process_id), "predefined")
+        for process_id in parsed_graph.required_processes
+    }
+    callable = parsed_graph.to_callable(mock_process_registry)
+
+    parsed_graph.plot()
+
 
 def test_from_json_constructor():
     flat_process_graph = json.load(open(TEST_DATA_DIR / "graphs" / "fit_rf_pg_0.json"))