import os
import sys
from flask import Flask, render_template_string
import markdown
app = Flask(__name__)
# ⚡ Bolt: Define file paths as constants to avoid redundant os.path.join calls.
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
README_PATH = os.path.join(BASE_DIR, '..', 'README.md')
VERIFICATION_PATH = os.path.join(BASE_DIR, '..', 'VERIFICATION.md')
class MarkdownCache:
"""
⚡ Bolt: Performance optimization class for caching rendered Markdown.
Only re-renders if the file's modification time (mtime) has changed.
"""
def __init__(self, filepath):
self.filepath = filepath
self.cached_html = ""
self.last_mtime = 0
def get_html(self):
if not os.path.exists(self.filepath):
return f"{os.path.basename(self.filepath)} not found.
"
try:
current_mtime = os.path.getmtime(self.filepath)
# Only re-render if the file has been modified
if current_mtime != self.last_mtime:
with open(self.filepath, 'r', encoding='utf-8') as f:
content = f.read()
self.cached_html = markdown.markdown(content)
self.last_mtime = current_mtime
return self.cached_html
except Exception as e:
return f"Error rendering {os.path.basename(self.filepath)}: {str(e)}
"
# Initialize caches
readme_cache = MarkdownCache(README_PATH)
verification_cache = MarkdownCache(VERIFICATION_PATH)
@app.route('/')
@app.route('/health')
def health_check():
try:
# ⚡ Bolt: Use pre-initialized caches to avoid redundant I/O and CPU-intensive parsing.
html_readme = readme_cache.get_html()
html_verification = verification_cache.get_html()
return render_template_string("""
MQL5 Trading Automation Dashboard
System Status ONLINE
MQL5 Trading Automation is running.
{{ html_verification|safe }}
Project Documentation
{{ html_readme|safe }}
""", html_readme=html_readme, html_verification=html_verification, year=2026)
except Exception as e:
return f"Error: {str(e)}", 500
if __name__ == '__main__':
port = int(os.environ.get('PORT', 8080))
print(f"Starting web dashboard on port {port}...")
app.run(host='0.0.0.0', port=port)