shoehorning graphql, step functions and lamdas. aws deployment scripts

modelgen/types.py

@@ -137,3 +137,36 @@ PRISMA_SPECIAL: dict[str, str] = {
     "created_at": "DateTime @default(now())",
     "updated_at": "DateTime @updatedAt",
 }
+
+# =============================================================================
+# Graphene Type Resolvers
+# =============================================================================
+
+
+def _resolve_graphene_list(base: Any) -> str:
+    """Resolve graphene List type."""
+    args = get_args(base)
+    if args:
+        inner = args[0]
+        if inner is str:
+            return "graphene.List(graphene.String)"
+        elif inner is int:
+            return "graphene.List(graphene.Int)"
+        elif inner is float:
+            return "graphene.List(graphene.Float)"
+        elif inner is bool:
+            return "graphene.List(graphene.Boolean)"
+    return "graphene.List(graphene.String)"
+
+
+GRAPHENE_RESOLVERS: dict[Any, Callable[[Any], str]] = {
+    str: lambda _: "graphene.String",
+    int: lambda _: "graphene.Int",
+    float: lambda _: "graphene.Float",
+    bool: lambda _: "graphene.Boolean",
+    "UUID": lambda _: "graphene.UUID",
+    "datetime": lambda _: "graphene.DateTime",
+    "dict": lambda _: "graphene.JSONString",
+    "list": _resolve_graphene_list,
+    "enum": lambda base: f"graphene.String",  # Enums exposed as strings in GQL
+}