Re-implemented Backdrop Node

Legacy/Orphaned Code/data_collector.py

@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+"""
+Collector Process:
+- Runs the OCR engine.
+- Updates OCR data every 0.5 seconds.
+- Exposes the latest data via an HTTP API using Flask.
+
+This version splits the HP, MP, and FP values into 'current' and 'total' before
+sending them via the API, so the Character Status Node can ingest them directly.
+"""
+
+import time
+import threading
+from flask import Flask, jsonify
+
+app = Flask(__name__)
+
+# Global variable to hold the latest stats (HP, MP, FP, EXP)
+latest_data = {
+    "hp_current": 0,
+    "hp_total": 0,
+    "mp_current": 0,
+    "mp_total": 0,
+    "fp_current": 0,
+    "fp_total": 0,
+    "exp": 0.0000
+}
+
+def ocr_collector():
+    """
+    This function simulates the OCR process.
+    Replace the code below with your actual OCR logic.
+    """
+    global latest_data
+    counter = 0
+    while True:
+        # Simulate updating stats:
+        hp_current = 50 + counter % 10
+        hp_total = 100
+        mp_current = 30 + counter % 5
+        mp_total = 50
+        fp_current = 20  # fixed, for example
+        fp_total = 20
+        exp_val = round(10.0 + (counter * 0.1), 4)
+        
+        latest_data = {
+            "hp_current": hp_current,
+            "hp_total": hp_total,
+            "mp_current": mp_current,
+            "mp_total": mp_total,
+            "fp_current": fp_current,
+            "fp_total": fp_total,
+            "exp": exp_val
+        }
+        
+        counter += 1
+        time.sleep(0.5)
+
+@app.route('/data')
+def get_data():
+    """Return the latest OCR data as JSON."""
+    return jsonify(latest_data)
+
+if __name__ == '__main__':
+    # Start the OCR collector in a background thread.
+    collector_thread = threading.Thread(target=ocr_collector)
+    collector_thread.daemon = True
+    collector_thread.start()
+    
+    # Run the Flask app on localhost:5000.
+    app.run(host="127.0.0.1", port=5000)