104 lines
2.1 KiB
Python
104 lines
2.1 KiB
Python
# Modules/data_manager.py
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import threading
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import time
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from flask import Flask, jsonify
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from PyQt5.QtCore import QMutex
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# Global datastore for character metrics
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data_store = {
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"hp_current": 0,
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"hp_total": 0,
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"mp_current": 0,
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"mp_total": 0,
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"fp_current": 0,
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"fp_total": 0,
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"exp": 0.0
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}
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# Mutex for thread safety
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data_mutex = QMutex()
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# Flag to ensure only one character status collector node exists
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character_status_collector_exists = False
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# Flask Application
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app = Flask(__name__)
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@app.route('/data')
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def data_api():
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"""
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Returns the current character metrics as JSON.
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"""
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return jsonify(get_data())
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@app.route('/exp')
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def exp_api():
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"""
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Returns the EXP data.
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"""
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return jsonify({"exp": get_data()["exp"]})
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@app.route('/hp')
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def hp_api():
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"""
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Returns the HP data.
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"""
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return jsonify({
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"hp_current": get_data()["hp_current"],
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"hp_total": get_data()["hp_total"]
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})
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@app.route('/mp')
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def mp_api():
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"""
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Returns the MP data.
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"""
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return jsonify({
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"mp_current": get_data()["mp_current"],
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"mp_total": get_data()["mp_total"]
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})
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@app.route('/fp')
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def fp_api():
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"""
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Returns the FP data.
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"""
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return jsonify({
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"fp_current": get_data()["fp_current"],
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"fp_total": get_data()["fp_total"]
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})
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def start_api_server():
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"""
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Starts the Flask API server in a separate daemon thread.
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"""
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def run():
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app.run(host="0.0.0.0", port=5000) # Allows external connections
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t = threading.Thread(target=run, daemon=True)
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t.start()
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def get_data():
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"""
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Return a copy of the global data_store.
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"""
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data_mutex.lock()
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data_copy = data_store.copy()
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data_mutex.unlock()
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return data_copy
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def set_data(key, value):
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"""
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Set a single metric in the global data_store.
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"""
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data_mutex.lock()
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data_store[key] = value
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data_mutex.unlock()
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def set_data_bulk(metrics_dict):
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"""
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Update multiple metrics in the global data_store at once.
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"""
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data_mutex.lock()
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data_store.update(metrics_dict)
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data_mutex.unlock()
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