Enabled live-view without the need for OCR to be enabled for screen sharing within the flyff_character_status_node.py node.

Data/Nodes/Flyff/flyff_character_status_node.py

@@ -2,9 +2,8 @@
 """
 Flyff Character Status Node:
 - Creates an OCR region in data_collector.
-- Periodically grabs raw text from that region and updates status.
-- ALSO: Captures a screenshot from the same region, converts to base64,
-        and updates data_manager so the Flask server can serve it.
+- Periodically captures a screenshot and updates Flask.
+- If OCR is enabled, it extracts character status and updates the data_manager.
 """
 
 import re
@@ -13,7 +12,7 @@ from io import BytesIO
 
 from OdenGraphQt import BaseNode
 from PyQt5.QtWidgets import QMessageBox
-from PyQt5.QtCore import QTimer  # Corrected import
+from PyQt5.QtCore import QTimer
 
 # Import the existing modules
 from Modules import data_manager, data_collector
@@ -30,6 +29,10 @@ class FlyffCharacterStatusNode(BaseNode):
             raise Exception("Duplicate Character Status Node.")
         data_manager.character_status_collector_exists = True
 
+        # Add the Data Collection dropdown menu
+        self.add_combo_menu("data_collection", "Data Collection", items=["Disabled", "Enabled"])
+        self.set_property("data_collection", "Disabled")  # Default to Disabled
+
         self.add_text_input("hp", "HP", text="HP: 0/0")
         self.add_text_input("mp", "MP", text="MP: 0/0")
         self.add_text_input("fp", "FP", text="FP: 0/0")
@@ -90,14 +93,25 @@ class FlyffCharacterStatusNode(BaseNode):
 
     def process_input(self):
         """
-        Called periodically to update character status from OCR,
-        and also capture the screenshot to display via Flask.
+        Called periodically to capture a screenshot and update character status (if enabled).
         """
-        # 1) Update the text-based status (same as before).
+        # Always capture the screenshot, regardless of OCR status
+        screenshot_img = data_collector.capture_region_as_image(self.region_id)
+        if screenshot_img:
+            buf = BytesIO()
+            screenshot_img.save(buf, format='PNG')
+            image_b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
+            data_manager.set_status_screenshot(image_b64)
+
+        # If OCR is disabled, return early (skip OCR processing)
+        if self.get_property("data_collection") == "Disabled":
+            return
+
+        # Process OCR if enabled
         raw_text = data_collector.get_raw_text(self.region_id)
         hp_c, hp_t, mp_c, mp_t, fp_c, fp_t, exp_v = self.parse_character_stats(raw_text)
 
-        # Update data_manager with the parsed values
+        # Update data_manager with parsed values
         data_manager.set_data_bulk({
             "hp_current": hp_c,
             "hp_total": hp_t,
@@ -113,12 +127,3 @@ class FlyffCharacterStatusNode(BaseNode):
         self.set_property("mp", f"MP: {mp_c}/{mp_t}")
         self.set_property("fp", f"FP: {fp_c}/{fp_t}")
         self.set_property("exp", f"EXP: {exp_v}%")
-
-        # 2) Capture the screenshot used by OCR and store as base64
-        screenshot_img = data_collector.capture_region_as_image(self.region_id)
-        if screenshot_img:
-            # Convert PIL image to base64
-            buf = BytesIO()
-            screenshot_img.save(buf, format='PNG')
-            image_b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
-            data_manager.set_status_screenshot(image_b64)