# Modules/data_manager.py
import threading
import time
from flask import Flask, jsonify
from PyQt5.QtCore import QMutex

# Global datastore for character metrics
data_store = {
    "hp_current": 0,
    "hp_total": 0,
    "mp_current": 0,
    "mp_total": 0,
    "fp_current": 0,
    "fp_total": 0,
    "exp": 0.0
}

# Mutex for thread safety
data_mutex = QMutex()

# Flag to ensure only one character status collector node exists
character_status_collector_exists = False

# Flask Application
app = Flask(__name__)

@app.route('/data')
def data_api():
    """
    Returns the current character metrics as JSON.
    """
    return jsonify(get_data())

def start_api_server():
    """
    Starts the Flask API server in a separate daemon thread.
    """
    def run():
        app.run(host="127.0.0.1", port=5000)
    t = threading.Thread(target=run, daemon=True)
    t.start()

def get_data():
    """
    Return a copy of the global data_store.
    """
    data_mutex.lock()
    data_copy = data_store.copy()
    data_mutex.unlock()
    return data_copy

def set_data(key, value):
    """
    Set a single metric in the global data_store.
    """
    data_mutex.lock()
    data_store[key] = value
    data_mutex.unlock()

def set_data_bulk(metrics_dict):
    """
    Update multiple metrics in the global data_store at once.
    """
    data_mutex.lock()
    data_store.update(metrics_dict)
    data_mutex.unlock()