Update code in endpoints/footballiner.post.py
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endpoints/footballiner.post.py
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67
endpoints/footballiner.post.py
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```python
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from typing import List, Optional
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from pydantic import BaseModel, Field
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from datetime import datetime
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# Models
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class GameCreate(GameBase):
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pass
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class GameUpdate(GameBase):
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pass
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class GameInDBBase(GameBase):
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id: int
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created_at: datetime
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updated_at: datetime
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class Config:
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orm_mode = True
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class Game(GameInDBBase):
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pass
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class GameInDB(GameInDBBase):
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pass
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# Schemas
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games = [] # In-memory storage
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# Save game
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def save_game(game: GameCreate):
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db_game = GameInDB(**game.dict(), created_at=datetime.now(), updated_at=datetime.now())
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games.append(db_game)
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return db_game
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# Fetch games
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def get_games():
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return games
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# FastAPI endpoint
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from fastapi import APIRouter, HTTPException
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router = APIRouter()
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@router.post("/footballiner")
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async def create_game(game: GameCreate):
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if request.method != "POST":
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raise HTTPException(status_code=405, detail="Method Not Allowed")
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db_game = save_game(game)
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return {
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"method": "POST",
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"_verb": "post",
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"message": "Game created successfully",
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"game": db_game
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}
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```
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This code provides the necessary models, schemas, and methods to save and fetch games to/from an in-memory storage (list). The `GameBase` model defines the common attributes of a game. The `GameCreate` and `GameUpdate` models inherit from `GameBase` and are used for creating and updating games, respectively. The `GameInDBBase` model extends `GameBase` with additional fields for database entries. The `Game` and `GameInDB` models inherit from `GameInDBBase`.
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The `save_game` function creates a new `GameInDB` instance from the provided `GameCreate` data and appends it to the `games` list. The `get_games` function returns the list of games.
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The `/footballiner` endpoint accepts a `GameCreate` object in the request body, validates the HTTP method, saves the game using `save_game`, and returns a success response with the created game object.
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Note that this implementation uses an in-memory list for storage, which is not suitable for production use. In a real-world scenario, you would need to integrate with a database and use an ORM (Object-Relational Mapping) library like SQLAlchemy.
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