Fix bug when serializing line parameters with numpy values

Fixes #174

doc/Changelog.md

@@ -7,6 +7,8 @@ Starting with version 0.7.0, Roseau Load Flow will no longer be supplied as a Sa
 a standalone Python library.
 ```
 
+- {gh-pr}`175` {gh-issue}`174` Fix JSON serialization of network with line parameters created from the
+  catalogue.
 - {gh-pr}`173` Remove the conda installation option.
 - {gh-pr}`168` {gh-issue}`166` Fix initial potentials' propagation.
 - {gh-pr}`167` {gh-issue}`161` Add a catalogue of lines using the IEC standards. You can use the method

roseau/load_flow/models/lines/parameters.py

@@ -1007,6 +1007,11 @@ def to_dict(self, *, _lf_only: bool = False) -> JsonDict:
             res["insulator_type"] = self._insulator_type.name
         if not _lf_only and self._section is not None:
             res["section"] = self._section
+        for k, v in res.items():
+            if isinstance(v, np.integer):
+                res[k] = int(v)
+            elif isinstance(v, np.floating):
+                res[k] = float(v)
         return res
 
     def _results_to_dict(self, warning: bool) -> NoReturn:

roseau/load_flow/models/tests/test_line_parameters.py

@@ -1,3 +1,4 @@
+import json
 import re
 
 import numpy as np
@@ -495,3 +496,12 @@ def test_max_current():
 
     lp.max_current = Q_(3, "kA")
     assert lp.max_current == Q_(3_000, "A")
+
+
+def test_json_serialization():
+    lp = LineParameters("test", z_line=np.eye(3), max_current=np.int64(100), section=np.float64(150))
+    lp_dict = lp.to_dict()
+    assert isinstance(lp_dict["z_line"], list)
+    assert isinstance(lp_dict["max_current"], int)
+    assert isinstance(lp_dict["section"], float)
+    json.dumps(lp_dict)

roseau/load_flow/models/transformers/parameters.py

@@ -289,6 +289,11 @@ def to_dict(self, *, _lf_only: bool = False) -> JsonDict:
         }
         if not _lf_only and self.max_power is not None:
             res["max_power"] = self.max_power.magnitude
+        for k, v in res.items():
+            if isinstance(v, np.integer):
+                res[k] = int(v)
+            elif isinstance(v, np.floating):
+                res[k] = float(v)
         return res
 
     def _results_to_dict(self, warning: bool) -> NoReturn: