mirror of
https://github.com/A6-9V/MQL5-Google-Onedrive.git
synced 2026-04-11 04:20:57 +00:00
2fc48d7896
# Vercel Web Analytics Implementation ## Summary Successfully implemented Vercel Web Analytics for the MQL5 Trading Automation dashboard project. The implementation follows Vercel's recommended HTML/plain JavaScript approach, which is ideal for this Flask-based application. ## Changes Made ### Modified Files: 1. **dashboard/index.html** - Added Vercel Web Analytics script tags before the closing `</body>` tag - Implemented the standard HTML analytics tracking code that initializes the `window.va` function - Added deferred loading of the Vercel insights script from `/_vercel/insights/script.js` 2. **scripts/web_dashboard.py** - Updated the Flask application's HTML template to include Vercel Web Analytics - Added the same analytics script tags to the dynamically generated HTML - Ensures analytics tracking works on both the static and Flask-rendered pages ### Created Files: 3. **vercel.json** - Created Vercel deployment configuration file - Configured builds for both the Python Flask app and static dashboard files - Set up routing to properly serve the Flask app and static assets - Added production environment variables for Flask ## Implementation Details The implementation uses Vercel's HTML/JavaScript approach for web analytics, which: - Requires no package installation (no @vercel/analytics npm package needed) - Works seamlessly with Flask and static HTML pages - Automatically tracks page views and visitor metrics - Uses deferred script loading for optimal performance - Will be activated once the project is deployed to Vercel with Web Analytics enabled ## Next Steps for Deployment To complete the Vercel Web Analytics setup: 1. **Enable Web Analytics in Vercel Dashboard:** - Go to your Vercel project dashboard - Click the "Analytics" tab - Click "Enable" to activate Web Analytics - This will make the `/_vercel/insights/*` routes available 2. **Deploy to Vercel:** - Run `vercel deploy` or push to your connected Git repository - The analytics will automatically start tracking after deployment 3. **Verify Installation:** - After deployment, visit your site - Open browser DevTools > Network tab - Look for a request to `/_vercel/insights/view` to confirm tracking is active ## Technical Notes - No changes to requirements.txt were needed (Python-only dependencies) - No package manager operations required (npm/yarn/pnpm) - The implementation is framework-agnostic and works with plain HTML/JavaScript - Analytics tracking is non-blocking and won't affect page load performance - The solution supports both the static HTML dashboard and Flask-rendered pages Co-authored-by: Vercel <vercel[bot]@users.noreply.github.com>
85 lines
3.9 KiB
Python
85 lines
3.9 KiB
Python
import os
|
|
import sys
|
|
from flask import Flask, render_template_string
|
|
import markdown
|
|
|
|
app = Flask(__name__)
|
|
|
|
@app.route('/')
|
|
@app.route('/health')
|
|
def health_check():
|
|
try:
|
|
readme_path = os.path.join(os.path.dirname(__file__), '..', 'README.md')
|
|
verification_path = os.path.join(os.path.dirname(__file__), '..', 'VERIFICATION.md')
|
|
|
|
readme_content = ""
|
|
if os.path.exists(readme_path):
|
|
with open(readme_path, 'r', encoding='utf-8') as f:
|
|
readme_content = f.read()
|
|
|
|
verification_content = ""
|
|
if os.path.exists(verification_path):
|
|
with open(verification_path, 'r', encoding='utf-8') as f:
|
|
verification_content = f.read()
|
|
|
|
html_readme = markdown.markdown(readme_content) if readme_content else "<p>README.md not found.</p>"
|
|
html_verification = markdown.markdown(verification_content) if verification_content else "<p>VERIFICATION.md not found.</p>"
|
|
|
|
return render_template_string("""
|
|
<!DOCTYPE html>
|
|
<html>
|
|
<head>
|
|
<title>MQL5 Trading Automation Dashboard</title>
|
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
|
<style>
|
|
body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; line-height: 1.6; max-width: 1000px; margin: 0 auto; padding: 20px; background: #f0f2f5; color: #1c1e21; }
|
|
.card { background: white; padding: 30px; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 20px; }
|
|
h1, h2 { color: #050505; border-bottom: 1px solid #ddd; padding-bottom: 10px; }
|
|
pre { background: #f8f9fa; padding: 15px; border-radius: 5px; overflow-x: auto; border: 1px solid #eee; }
|
|
.status-badge { display: inline-block; padding: 4px 12px; border-radius: 15px; font-weight: bold; background: #42b983; color: white; }
|
|
.nav { margin-bottom: 20px; background: #fff; padding: 10px 20px; border-radius: 8px; box-shadow: 0 1px 2px rgba(0,0,0,0.1); }
|
|
.nav a { margin-right: 15px; color: #1877f2; text-decoration: none; font-weight: bold; }
|
|
.nav a:hover { text-decoration: underline; }
|
|
footer { text-align: center; margin-top: 40px; color: #65676b; font-size: 0.9em; }
|
|
img { max-width: 100%; height: auto; }
|
|
table { border-collapse: collapse; width: 100%; margin-bottom: 1em; }
|
|
th, td { text-align: left; padding: 8px; border-bottom: 1px solid #ddd; }
|
|
th { background-color: #f8f9fa; }
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div class="nav">
|
|
<a href="#status">System Status</a>
|
|
<a href="#docs">Documentation</a>
|
|
</div>
|
|
|
|
<div id="status" class="card">
|
|
<h1>System Status <span class="status-badge">ONLINE</span></h1>
|
|
<p>MQL5 Trading Automation is running.</p>
|
|
{{ html_verification|safe }}
|
|
</div>
|
|
|
|
<div id="docs" class="card">
|
|
<h2>Project Documentation</h2>
|
|
{{ html_readme|safe }}
|
|
</div>
|
|
|
|
<footer>
|
|
<p>© {{ year }} MQL5 Trading Automation | Dashboard v1.0.0</p>
|
|
</footer>
|
|
|
|
<!-- Vercel Web Analytics -->
|
|
<script>
|
|
window.va = window.va || function () { (window.vaq = window.vaq || []).push(arguments); };
|
|
</script>
|
|
<script defer src="/_vercel/insights/script.js"></script>
|
|
</body>
|
|
</html>
|
|
""", 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)
|