Add cast_as block; fix bugs

project/chat.py

@@ -696,6 +696,8 @@ def create_gradio_interface():
 
     Deployment is done only once; the deployed MCP may be run any number of times afterward.
 
+    NEVER TRY DEPLOYING MORE THAN ONCE. YOU ONLY EVER NEED TO DEPLOY ONCE. AFTER THAT YOU CAN ONLY RUN IT.
+
     ---
 
     ## VALUE BLOCK CONSTRUCTION: ABSOLUTE RULE
@@ -1014,13 +1016,8 @@ def create_gradio_interface():
                                 "require_approval": "never"
                             }
                             dynamic_tools.append(mcp_tool)
-                            print(f"[MCP] Injected MCP tool for server: {current_mcp_server_url}")
-                        else:
-                            print(f"[MCP] Skipping MCP tool injection - space not running yet")
                     except Exception as mcp_error:
                         print(f"[MCP ERROR] Failed during MCP injection: {mcp_error}")
-                        print(f"[MCP] Continuing without MCP tools...")
-                        # Continue without MCP - don't crash
                 
                 # Add deployment status message to instructions if deployment just happened and space is not running
                 deployment_instructions = instructions
@@ -1084,6 +1081,14 @@ def create_gradio_interface():
                         tool_result = None
                         result_label = ""
                         
+                        # Log MCP tool calls
+                        if function_name not in ("delete_block", "create_block", "create_variable", "edit_mcp", "deploy_to_huggingface"):
+                            # This is an MCP tool call
+                            print(Fore.GREEN + f"[MCP TOOL CALL] Running MCP with inputs:" + Style.RESET_ALL)
+                            print(Fore.GREEN + f"  Tool name: {function_name}" + Style.RESET_ALL)
+                            for key, value in function_args.items():
+                                print(Fore.GREEN + f"  {key}: {value}" + Style.RESET_ALL)
+                        
                         if function_name == "delete_block":
                             block_id = function_args.get("id", "")
                             print(Fore.YELLOW + f"Agent deleted block with ID `{block_id}`." + Style.RESET_ALL)

project/src/blocks/text.js

@@ -653,6 +653,30 @@ const lists_contains = {
   helpUrl: "",
 };
 
+// Cast block for type conversion
+const cast_as = {
+  type: "cast_as",
+  message0: "cast %1 as %2",
+  args0: [
+    { type: "input_value", name: "VALUE", check: null },
+    {
+      type: "field_dropdown",
+      name: "TYPE",
+      options: [
+        ["int", "int"],
+        ["float", "float"],
+        ["str", "str"],
+        ["bool", "bool"],
+      ],
+    },
+  ],
+  output: null,
+  colour: 210,
+  inputsInline: true,
+  tooltip: "Convert a value to a different type",
+  helpUrl: "",
+};
+
 // Dynamic function call block
 const func_call = {
   type: "func_call",
@@ -1157,4 +1181,5 @@ export const blocks = Blockly.common.createBlockDefinitionsFromJsonArray([
   call_api,
   in_json,
   lists_contains,
+  cast_as,
 ]);

project/src/generators/python.js

@@ -17,6 +17,7 @@ forBlock['create_mcp'] = function (block, generator) {
   }
 
   const typedInputs = [];
+  const listParams = [];
   let i = 0;
 
   // Build list of typed input parameters with inferred Python types
@@ -39,6 +40,7 @@ forBlock['create_mcp'] = function (block, generator) {
           break;
         case 'list':
           pyType = 'list';
+          listParams.push(paramName);
           break;
         case 'boolean':
           pyType = 'bool';
@@ -53,6 +55,14 @@ forBlock['create_mcp'] = function (block, generator) {
 
   // Main function body and return value(s)
   let body = generator.statementToCode(block, 'BODY');
+  
+  // Add list conversion code at the beginning of the body
+  let listConversionCode = '';
+  for (const param of listParams) {
+    listConversionCode += `  ${param} = ${param}.iloc[:, 0].tolist()\n`;
+  }
+  
+  body = listConversionCode + body;
   let returnStatement = '';
 
   const returnValues = [];
@@ -381,4 +391,13 @@ forBlock['lists_contains'] = function (block, generator) {
   // Generate code to check if item is in list
   const code = `${item} in ${list}`;
   return [code, Order.ATOMIC];
+};
+
+forBlock['cast_as'] = function (block, generator) {
+  const value = generator.valueToCode(block, 'VALUE', Order.NONE) || "''";
+  const type = block.getFieldValue('TYPE');
+
+  // Generate code to cast value to the specified type
+  const code = `${type}(${value})`;
+  return [code, Order.FUNCTION_CALL];
 };

project/src/index.js

@@ -1284,7 +1284,7 @@ const updateCode = () => {
     code = "from sympy import isprime\n\n" + code;
   }
 
-  code = "import gradio as gr" + code;
+  code = "import gradio as gr\n" + code;
 
   // Extract input and output counts from the create_mcp block to build Gradio interface
   const mcpBlocks = ws.getBlocksByType('create_mcp');

project/src/toolbox.js

@@ -106,6 +106,10 @@ export const toolbox = {
           kind: 'block',
           type: 'logic_null',
         },
+        {
+          kind: 'block',
+          type: 'cast_as',
+        },
       ],
     },
     {

project/test.py

@@ -3,6 +3,8 @@ from fastapi.middleware.cors import CORSMiddleware
 import gradio as gr
 import os
 import ast
+import inspect
+import pandas as pd
 
 app = FastAPI()
 
@@ -136,7 +138,6 @@ def execute_blockly_logic(user_inputs):
         exec("import os", env)
         exec(code_to_run, env)
         if "create_mcp" in env:
-            import inspect
             sig = inspect.signature(env["create_mcp"])
             params = list(sig.parameters.values())
 
@@ -190,6 +191,9 @@ def execute_blockly_logic(user_inputs):
                     # If conversion fails, pass the raw input
                     typed_args.append(arg)
 
+            if len(typed_args) > 0 and isinstance(typed_args[0], list):
+                typed_args[0] = pd.DataFrame(typed_args[0])
+
             result = env["create_mcp"](*typed_args)
         elif "process_input" in env:
             env["process_input"](user_inputs)

requirements.txt

@@ -5,4 +5,5 @@ requests
 colorama
 huggingface_hub
 gradio_client
-mcp
+mcp
+pandas