import threading
import time
import base64
from flask import Flask, jsonify, Response
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
# A place to store the screenshot in base64
status_screenshot_base64 = ""
# Flask Application
app = Flask(__name__)
@app.route('/data')
def data_api():
"""
Returns the current character metrics as JSON.
"""
return jsonify(get_data())
@app.route('/exp')
def exp_api():
"""
Returns the EXP data.
"""
return jsonify({"exp": get_data()["exp"]})
@app.route('/hp')
def hp_api():
"""
Returns the HP data.
"""
return jsonify({
"hp_current": get_data()["hp_current"],
"hp_total": get_data()["hp_total"]
})
@app.route('/mp')
def mp_api():
"""
Returns the MP data.
"""
return jsonify({
"mp_current": get_data()["mp_current"],
"mp_total": get_data()["mp_total"]
})
@app.route('/fp')
def fp_api():
"""
Returns the FP data.
"""
return jsonify({
"fp_current": get_data()["fp_current"],
"fp_total": get_data()["fp_total"]
})
@app.route('/flyff/status')
def status_screenshot():
"""
Returns an HTML page that displays the stored screenshot and
automatically refreshes it every second without requiring a manual page reload.
"""
html = """
Borealis - Live Status
"""
return html
@app.route('/flyff/status_rawdata')
def status_screenshot_data():
"""
Serves the raw PNG bytes (decoded from base64) used by ![]()
in /status_screenshot.
"""
data_mutex.lock()
encoded = status_screenshot_base64
data_mutex.unlock()
if not encoded:
# No image captured yet, return HTTP 204 "No Content"
return "", 204
raw_img = base64.b64decode(encoded)
return Response(raw_img, mimetype='image/png')
def start_api_server():
"""
Starts the Flask API server in a separate daemon thread.
"""
def run():
app.run(host="0.0.0.0", port=5000) # Allows external connections
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()
def set_status_screenshot(encoded_str):
"""
Called by the OCR node to store the base64-encoded screenshot data.
"""
global status_screenshot_base64
data_mutex.lock()
status_screenshot_base64 = encoded_str
data_mutex.unlock()