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Updates to landing page.

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William D. Jones
2026-01-05 17:49:29 -06:00
parent 35ece924cc
commit f50eb2ba3b
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backend/add_more_events.py Normal file
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"""
Add more sporting events to the database
"""
import asyncio
from datetime import datetime, timedelta
from sqlalchemy import select
from app.database import async_session
from app.models import User, SportEvent, SportType, EventStatus
async def add_events():
"""Add more sporting events"""
async with async_session() as db:
# Get admin user
result = await db.execute(select(User).where(User.is_admin == True))
admin = result.scalar_one_or_none()
if not admin:
print("No admin user found!")
return
print("Adding more sporting events...")
events = [
# NFL Games
SportEvent(
sport=SportType.FOOTBALL,
home_team="Philadelphia Eagles",
away_team="Dallas Cowboys",
official_spread=-3.5,
game_time=datetime.utcnow() + timedelta(hours=12),
venue="Lincoln Financial Field",
league="NFL",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=2000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.FOOTBALL,
home_team="San Francisco 49ers",
away_team="Seattle Seahawks",
official_spread=-7.0,
game_time=datetime.utcnow() + timedelta(hours=20),
venue="Levi's Stadium",
league="NFL",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=2000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.FOOTBALL,
home_team="Green Bay Packers",
away_team="Chicago Bears",
official_spread=-6.5,
game_time=datetime.utcnow() + timedelta(days=2, hours=5),
venue="Lambeau Field",
league="NFL",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=2000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.FOOTBALL,
home_team="Miami Dolphins",
away_team="New York Jets",
official_spread=-4.0,
game_time=datetime.utcnow() + timedelta(days=2, hours=8),
venue="Hard Rock Stadium",
league="NFL",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=2000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
# NBA Games
SportEvent(
sport=SportType.BASKETBALL,
home_team="Golden State Warriors",
away_team="Phoenix Suns",
official_spread=-2.5,
game_time=datetime.utcnow() + timedelta(hours=6),
venue="Chase Center",
league="NBA",
min_spread=-15.0,
max_spread=15.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.BASKETBALL,
home_team="Milwaukee Bucks",
away_team="Cleveland Cavaliers",
official_spread=-4.0,
game_time=datetime.utcnow() + timedelta(hours=10),
venue="Fiserv Forum",
league="NBA",
min_spread=-15.0,
max_spread=15.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.BASKETBALL,
home_team="Denver Nuggets",
away_team="Oklahoma City Thunder",
official_spread=-1.5,
game_time=datetime.utcnow() + timedelta(days=1, hours=5),
venue="Ball Arena",
league="NBA",
min_spread=-15.0,
max_spread=15.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.BASKETBALL,
home_team="Miami Heat",
away_team="New York Knicks",
official_spread=2.0,
game_time=datetime.utcnow() + timedelta(days=1, hours=8),
venue="Kaseya Center",
league="NBA",
min_spread=-15.0,
max_spread=15.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
# NHL Games
SportEvent(
sport=SportType.HOCKEY,
home_team="Toronto Maple Leafs",
away_team="Montreal Canadiens",
official_spread=-1.5,
game_time=datetime.utcnow() + timedelta(hours=4),
venue="Scotiabank Arena",
league="NHL",
min_spread=-5.0,
max_spread=5.0,
min_bet_amount=10.0,
max_bet_amount=500.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.HOCKEY,
home_team="Vegas Golden Knights",
away_team="Colorado Avalanche",
official_spread=-0.5,
game_time=datetime.utcnow() + timedelta(hours=16),
venue="T-Mobile Arena",
league="NHL",
min_spread=-5.0,
max_spread=5.0,
min_bet_amount=10.0,
max_bet_amount=500.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.HOCKEY,
home_team="Boston Bruins",
away_team="New York Rangers",
official_spread=-1.0,
game_time=datetime.utcnow() + timedelta(days=1, hours=2),
venue="TD Garden",
league="NHL",
min_spread=-5.0,
max_spread=5.0,
min_bet_amount=10.0,
max_bet_amount=500.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
# Soccer Games
SportEvent(
sport=SportType.SOCCER,
home_team="Manchester United",
away_team="Liverpool",
official_spread=0.5,
game_time=datetime.utcnow() + timedelta(hours=14),
venue="Old Trafford",
league="Premier League",
min_spread=-3.0,
max_spread=3.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.SOCCER,
home_team="Real Madrid",
away_team="Barcelona",
official_spread=-0.5,
game_time=datetime.utcnow() + timedelta(days=2, hours=10),
venue="Santiago Bernabeu",
league="La Liga",
min_spread=-3.0,
max_spread=3.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.SOCCER,
home_team="Bayern Munich",
away_team="Borussia Dortmund",
official_spread=-1.0,
game_time=datetime.utcnow() + timedelta(days=3, hours=8),
venue="Allianz Arena",
league="Bundesliga",
min_spread=-3.0,
max_spread=3.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
# College Football
SportEvent(
sport=SportType.FOOTBALL,
home_team="Alabama",
away_team="Georgia",
official_spread=2.5,
game_time=datetime.utcnow() + timedelta(days=4, hours=12),
venue="Mercedes-Benz Stadium",
league="NCAA Football",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.FOOTBALL,
home_team="Ohio State",
away_team="Michigan",
official_spread=-3.0,
game_time=datetime.utcnow() + timedelta(days=5, hours=6),
venue="Ohio Stadium",
league="NCAA Football",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
SportEvent(
sport=SportType.FOOTBALL,
home_team="Texas",
away_team="Oklahoma",
official_spread=-1.5,
game_time=datetime.utcnow() + timedelta(days=6, hours=10),
venue="Cotton Bowl",
league="NCAA Football",
min_spread=-14.0,
max_spread=14.0,
min_bet_amount=10.0,
max_bet_amount=1000.0,
created_by=admin.id,
status=EventStatus.UPCOMING
),
]
for event in events:
db.add(event)
await db.commit()
print(f"Added {len(events)} new events!")
print("\nEvents added:")
for e in events:
print(f" - {e.home_team} vs {e.away_team} ({e.league})")
if __name__ == "__main__":
asyncio.run(add_events())