- Switched from psycopg2 to asyncpg for async SQLAlchemy support - Fixed router registration in main.py - removed duplicate prefixes - Added user_data export to routers/__init__.py - Refactored decks router to use DeckManager service layer - Integrated FuzzyCardMatcher into card_router search endpoints - Made WishlistCreate.card_id optional for proper schema validation - Set PostgreSQL password and configured scram-sha-256 auth - Updated alembic.ini to use local PostgreSQL instead of Docker hostname - Created generic_schemas.py for reusable schema patterns - Added test_routers.py and test_schema_validation.py test files - All 6 Alembic migrations applied successfully (37 tables created) - Application running on port 8000 with all services connected
114 lines
2.9 KiB
Python
114 lines
2.9 KiB
Python
"""
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Pydantic schemas for card import feature.
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Provides request/response models for importing card collections
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and using them for deckbuilding.
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"""
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from pydantic import BaseModel, Field, ConfigDict
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from typing import List, Optional, Dict, Any
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from datetime import datetime
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class CardImportRequest(BaseModel):
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"""Request body for importing card collection."""
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card_names: List[str] = Field(
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...,
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min_length=1,
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max_length=10000,
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description="List of card names to import",
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examples=[["Lightning Bolt", "Shock", "Thoughtseize"]]
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)
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class CardImportResponse(BaseModel):
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"""Response after successful card import."""
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message: str
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card_count: int
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card_names: List[str]
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imported_at: datetime
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class CardImportStatusResponse(BaseModel):
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"""Response showing current import status."""
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has_import: bool
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card_count: Optional[int] = None
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card_names: Optional[List[str]] = None
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last_imported: Optional[datetime] = None
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class CardMatchResult(BaseModel):
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"""Result of matching imported card name to database card."""
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card_id: Optional[int] = None
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card_name: str
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matched_name: str
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match_type: str # 'exact', 'fuzzy', 'partial'
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confidence: float # 0.0 to 1.0
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class CardImportSummary(BaseModel):
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"""Summary of card import with match results."""
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total_cards: int
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matched_cards: List[CardMatchResult]
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unmatched_cards: List[str]
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import_id: Optional[int] = None
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# ===== Card Import Batch Schemas =====
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class CardImportBatchCreate(BaseModel):
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"""Card import batch creation request."""
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user_id: int
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card_names: List[str] = Field(..., min_length=1, max_length=10000)
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source: Optional[str] = None # 'manual', 'mtgjson', 'deck_text'
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class CardImportBatchResponse(BaseModel):
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"""Card import batch response."""
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id: int
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user_id: int
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card_names: List[str]
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source: Optional[str]
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status: str # 'pending', 'processing', 'completed', 'failed'
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total_cards: int
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matched_cards: int
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unmatched_cards: int
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created_at: datetime
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updated_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class UserCardImportCreate(BaseModel):
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"""User card import request."""
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batch_id: int
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card_id: int
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quantity: int = Field(1, ge=1)
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match_confidence: Optional[float] = None
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class UserCardImportResponse(BaseModel):
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"""User card import response."""
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id: int
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user_id: int
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batch_id: int
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card_id: int
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quantity: int
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match_confidence: Optional[float]
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created_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class UserCardImportRecordResponse(BaseModel):
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"""User card import record response."""
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id: int
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user_id: int
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card_id: int
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batch_id: int
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quantity: int
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source: Optional[str]
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created_at: datetime
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model_config = ConfigDict(from_attributes=True)
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