337a6377de
Implemented CLEAN architecture with clear separation of concerns: - Domain layer with entities (Player, Team, Stats, FantasyTeam) and repository interfaces - Application layer with use case implementations - Infrastructure layer with NHL API and Yahoo Fantasy API adapters - Presentation layer with FastAPI configuration and dependency injection Key features: - Swappable data source adapters (NHL API, Yahoo Fantasy API) - Repository pattern for data access abstraction - Dependency injection for loose coupling - FastAPI framework with async support - PostgreSQL database configuration - Environment-based configuration management Technology stack: Python 3.11+, FastAPI, PostgreSQL, nhl-api-py, yfpy 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
34 lines
898 B
Python
34 lines
898 B
Python
"""Application configuration settings."""
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False,
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)
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# Application
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app_name: str = "Project Kempe - Fantasy Hockey Backend"
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app_version: str = "0.1.0"
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debug: bool = False
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# Database
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database_url: str = "postgresql+asyncpg://user:password@localhost:5432/fantasy_hockey"
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# Yahoo Fantasy API
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yahoo_consumer_key: str = ""
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yahoo_consumer_secret: str = ""
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# API Configuration
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api_prefix: str = "/api/v1"
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cors_origins: list[str] = ["http://localhost:3000"]
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def get_settings() -> Settings:
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"""Returns the application settings singleton."""
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return Settings()
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