feat: implement MCP server and dashboard for football data platform
Add complete Nike football data platform with: - FastMCP server exposing football data tools over HTTP - RapidAPI client for free-api-live-football-data integration - Bootstrap web dashboard with live match/standings views - REST API endpoints for dashboard consumption - Docker support with multi-stage build - Comprehensive README with architecture docs - Minimal .gitignore replacing verbose Python template
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36
scripts/test_db.py
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36
scripts/test_db.py
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#!/usr/bin/env python3
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"""Test connection to Portia PostgreSQL."""
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import os
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import sys
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import time
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from dotenv import load_dotenv
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import psycopg2
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load_dotenv('/home/robert/gitea/nike/.env')
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try:
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t0 = time.time()
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conn = psycopg2.connect(
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host=os.getenv('DB_HOST'),
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port=int(os.getenv('DB_PORT', 5432)),
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user=os.getenv('DB_USER'),
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password=os.getenv('DB_PASSWORD'),
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dbname='nike',
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connect_timeout=5,
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)
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latency_ms = round((time.time() - t0) * 1000, 1)
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cur = conn.cursor()
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cur.execute('SELECT version();')
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version = cur.fetchone()[0]
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cur.execute("SELECT current_database(), current_user;")
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db, user = cur.fetchone()
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cur.close()
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conn.close()
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print(f"✅ Connected in {latency_ms}ms")
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print(f" Database : {db}")
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print(f" User : {user}")
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print(f" Version : {version.split(',')[0]}")
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except Exception as e:
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print(f"❌ Connection failed: {e}")
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sys.exit(1)
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