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>
32 lines
980 B
Python
32 lines
980 B
Python
"""Fantasy team repository interface."""
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from abc import ABC, abstractmethod
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from typing import List, Optional
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from src.domain.entities import FantasyTeam
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class FantasyRepository(ABC):
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"""Abstract interface for Yahoo Fantasy Hockey data access."""
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@abstractmethod
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async def get_fantasy_team(
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self, league_id: str, team_id: str
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) -> Optional[FantasyTeam]:
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"""Retrieves a specific fantasy team from a league."""
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pass
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@abstractmethod
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async def get_user_teams(self, user_id: str) -> List[FantasyTeam]:
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"""Retrieves all fantasy teams for a user."""
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pass
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@abstractmethod
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async def get_team_roster(self, league_id: str, team_id: str) -> List[str]:
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"""Retrieves the player IDs on a fantasy team's roster."""
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pass
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@abstractmethod
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async def get_league_standings(self, league_id: str) -> List[FantasyTeam]:
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"""Retrieves all teams in a league ordered by standings."""
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pass
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