Show outputs on dashboard

great_ai/src/great_ai/great_ai/metrics/create_dash_app.py

@@ -70,7 +70,6 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
             get_footer(),
             interval := dcc.Interval(
                 interval=4 * 1000,  # in milliseconds
-                n_intervals=0,
             ),
         ]
     )
@@ -116,6 +115,10 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
         rows = get_context().persistence.query(
             conjunctive_filters=non_null_conjunctive_filters
         )
+
+        if not rows:
+            return go.Figure()
+
         df = pd.DataFrame(rows)
 
         fig = px.histogram(
@@ -150,13 +153,16 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
             conjunctive_filters=non_null_conjunctive_filters
         )
 
+        if not rows:
+            return go.Figure()
+
         df = pd.DataFrame(rows)
         return go.Figure(
             go.Parcoords(
                 dimensions=[
                     get_dimension_descriptor(df, c)
                     for c in df.columns
-                    if not c.startswith("arg:") and c not in {"id", "created"}
+                    if not c.startswith("arg:") and c not in {"id", "created", "output"}
                 ],
                 line_color=accent_color,
             )

great_ai/src/great_ai/great_ai/persistence/parallel_tinydb_driver.py

@@ -56,6 +56,9 @@ class ParallelTinyDbDriver(PersistenceDriver):
         take: Optional[int] = None,
     ) -> List[Dict[str, Any]]:
         documents = self.get_documents()
+        if not documents:
+            return []
+
         df = pd.DataFrame(documents)
 
         for f in conjunctive_filters:

great_ai/src/great_ai/great_ai/views/trace.py

@@ -1,3 +1,4 @@
+from json import dumps
 from typing import Any, Dict, List, Optional
 from uuid import uuid4
 
@@ -29,7 +30,7 @@ class Trace(BaseModel):
             "created": self.created,
             "execution_time_ms": self.execution_time_ms,
             "models": ", ".join(f"{m.key}:{m.version}" for m in self.models),
-            "output": self.output,
+            "output": dumps(self.output),
             "evaluation": self.evaluation,
             **self.logged_values,
         }