Robert Helewka
ee8436d5b8
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
50 lines
1.1 KiB
Python
50 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""Apply Nike schema to Portia PostgreSQL."""
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import os
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import sys
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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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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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)
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except Exception as e:
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print(f"❌ Cannot connect to DB: {e}")
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sys.exit(1)
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conn.autocommit = True
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cur = conn.cursor()
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schema_path = os.path.join(os.path.dirname(__file__), '..', 'schema.sql')
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with open(schema_path, 'r') as f:
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sql = f.read()
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try:
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cur.execute(sql)
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print("✅ Schema applied successfully.")
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except Exception as e:
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print(f"❌ Schema error: {e}")
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cur.close()
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conn.close()
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sys.exit(1)
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cur.execute("""
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SELECT table_name FROM information_schema.tables
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WHERE table_schema = 'public' ORDER BY table_name;
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""")
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tables = cur.fetchall()
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print(f" {len(tables)} tables in public schema:")
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for t in tables:
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print(f" • {t[0]}")
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cur.close()
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conn.close()
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