Update NetworkX demo to be error-free. Sort keys in workspaces. Autoformat some files.

examples/AIMO

@@ -1036,4 +1036,4 @@
       "targetHandle": "input"
     }
   ]
-}
+}

examples/Graph RAG

@@ -872,4 +872,4 @@
       "targetHandle": "edges"
     }
   ]
-}
+}

examples/Image processing

@@ -281,4 +281,4 @@
       "targetHandle": "image"
     }
   ]
-}
+}

examples/LynxScribe demo

@@ -966,4 +966,4 @@
       "targetHandle": "chat_api"
     }
   ]
-}
+}

examples/PyTorch demo

@@ -620,4 +620,4 @@
       "targetHandle": "x"
     }
   ]
-}
+}

examples/RAG chatbot app

@@ -605,4 +605,4 @@
       "targetHandle": "rag_graph"
     }
   ]
-}
+}

lynxkite-app/web/src/workspace/nodes/NodeWithTableView.tsx

@@ -19,7 +19,7 @@ export default function NodeWithTableView(props: any) {
   const display = props.data.display?.value;
   const single =
     display?.dataframes && Object.keys(display?.dataframes).length === 1;
-  const dfs = Object.entries(display.dataframes || {});
+  const dfs = Object.entries(display?.dataframes || {});
   dfs.sort();
   return (
     <LynxKiteNode {...props}>

lynxkite-core/pyproject.toml

@@ -10,4 +10,4 @@ dependencies = [
 [project.optional-dependencies]
 dev = [
     "pytest",
-]
+]

lynxkite-core/src/lynxkite/core/workspace.py

@@ -1,5 +1,6 @@
 """For working with LynxKite workspaces."""
 
+import json
 from typing import Optional
 import dataclasses
 import os
@@ -65,7 +66,8 @@ async def execute(ws: Workspace):
 
 def save(ws: Workspace, path: str):
     """Persist a workspace to a local file in JSON format."""
-    j = ws.model_dump_json(indent=2) + "\n"
+    j = ws.model_dump()
+    j = json.dumps(j, indent=2, sort_keys=True) + "\n"
     dirname, basename = os.path.split(path)
     os.makedirs(dirname, exist_ok=True)
     # Create temp file in the same directory to make sure it's on the same filesystem.

lynxkite-core/tests/test_ops.py

@@ -76,7 +76,9 @@ def test_op_decorator_with_complex_types():
     assert complex_op.__op__.inputs == {
         "color": ops.Input(name="color", type=Color, position="left"),
         "color_list": ops.Input(name="color_list", type=list[Color], position="left"),
-        "color_dict": ops.Input(name="color_dict", type=dict[str, Color], position="left"),
+        "color_dict": ops.Input(
+            name="color_dict", type=dict[str, Color], position="left"
+        ),
     }
     assert complex_op.__op__.type == "basic"
     assert complex_op.__op__.outputs == {

lynxkite-graph-analytics/src/lynxkite_graph_analytics/pytorch_model_ops.py

@@ -72,4 +72,4 @@ ops.register_passive_op(
     inputs=[ops.Input(name="input", position="top", type="tensor")],
     outputs=[ops.Output(name="output", position="bottom", type="tensor")],
     params=[ops.Parameter.basic("times", 1, int)],
-)
+)