移动获取文件图像数据

boards/default_src/micropython/blocks/ai_local.js

@@ -1,6 +1,7 @@
 import * as Blockly from 'blockly/core';
 const AI_LOCAL_VOICE_HUE = '#2FAD7A'; 
 const AI_LOCAL_GRAPH_HUE = '#90A244'; 
+const IOT_HUE = '#526FC3';
 
 //voice part
 export const VOICE_RECOGNITION_CONTROL = {
@@ -565,7 +566,7 @@ export const AI_STOP_ACQUISITION = {
 
 export const MIXIO_REPORT_IMAGE_DATA = { 
     init: function () {
-        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.setColour(IOT_HUE);
         this.appendDummyInput()
             .appendField(Blockly.Msg.MIXLY_GET +Blockly.Msg.MIXLY_IMAGE_OF_FILE)
         this.appendValueInput('SUB');

boards/default_src/micropython_esp32s3/template.xml

@@ -2395,13 +2395,6 @@
           <shadow type="logic_boolean">
           </shadow>
         </value>
-      </block>
-       <block type="MIXIO_REPORT_IMAGE_DATA">
-        <value name="SUB">
-          <shadow type="text">
-            <field name="TEXT">12.jpg</field>
-          </shadow>
-        </value>
       </block>
       <block type="AI_CAMERA_INIT">
           <value name="SUB">
@@ -2815,7 +2808,13 @@
         </value>
       </block>
       <block type="iot_mqtt_data"></block>
-
+      <block type="MIXIO_REPORT_IMAGE_DATA">
+        <value name="SUB">
+          <shadow type="text">
+            <field name="TEXT">12.jpg</field>
+          </shadow>
+        </value>
+      </block>
     </category>
     <category id="catOnenet" colour="#78AAE0">
       <block type="iot_wifi_connect">