Address comments

autogpt_platform/backend/backend/data/graph.py

@@ -80,7 +80,11 @@ def from_db(execution: AgentGraphExecution):
         duration = (end_time - start_time).total_seconds()
         total_run_time = duration
 
-        stats = json.loads(execution.stats or "{}", target_type=dict[str, Any])
+        try:
+            stats = json.loads(execution.stats or "{}", target_type=dict[str, Any])
+        except ValueError:
+            stats = {}
+
         duration = stats.get("walltime", duration)
         total_run_time = stats.get("nodes_walltime", total_run_time)
 

autogpt_platform/backend/backend/util/json.py

@@ -3,7 +3,7 @@
 
 from fastapi.encoders import jsonable_encoder
 
-from .type import convert
+from .type import type_match
 
 
 def to_dict(data) -> dict:
@@ -27,4 +27,6 @@ def loads(data: str, *args, **kwargs) -> Any: ...
 
 def loads(data: str, *args, target_type: Type[T] | None = None, **kwargs) -> Any:
     parsed = json.loads(data, *args, **kwargs)
-    return convert(parsed, target_type) if target_type else parsed
+    if target_type:
+        return type_match(parsed, target_type)
+    return parsed

autogpt_platform/backend/backend/util/type.py

@@ -102,7 +102,7 @@ def __convert_bool(value: Any) -> bool:
         return bool(value)
 
 
-def _convert(value: Any, target_type: Type):
+def _try_convert(value: Any, target_type: Type, raise_on_mismatch: bool) -> Any:
     origin = get_origin(target_type)
     args = get_args(target_type)
     if origin is None:
@@ -133,6 +133,8 @@ def _convert(value: Any, target_type: Type):
                 return {convert(v, args[0]) for v in value}
             else:
                 return value
+    elif raise_on_mismatch:
+        raise ConversionError(f"Failed to convert {value} to {target_type}")
     else:
         # Need to convert value to the origin type
         if origin is list:
@@ -180,8 +182,12 @@ def _convert(value: Any, target_type: Type):
 T = TypeVar("T")
 
 
+def type_match(value: Any, target_type: Type[T]) -> T:
+    return cast(T, _try_convert(value, target_type, raise_on_mismatch=True))
+
+
 def convert(value: Any, target_type: Type[T]) -> T:
     try:
-        return cast(T, _convert(value, target_type))
+        return cast(T, _try_convert(value, target_type, raise_on_mismatch=False))
     except Exception as e:
         raise ConversionError(f"Failed to convert {value} to {target_type}") from e