eea4469095
- Complete MVP for tracking Fidelity brokerage account performance - Transaction import from CSV with deduplication - Automatic FIFO position tracking with options support - Real-time P&L calculations with market data caching - Dashboard with timeframe filtering (30/90/180 days, 1 year, YTD, all time) - Docker-based deployment with PostgreSQL backend - React/TypeScript frontend with TailwindCSS - FastAPI backend with SQLAlchemy ORM Features: - Multi-account support - Import via CSV upload or filesystem - Open and closed position tracking - Balance history charting - Performance analytics and metrics - Top trades analysis - Responsive UI design Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Pydantic schemas for transaction-related API operations."""
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from pydantic import BaseModel, Field
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from datetime import date, datetime
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from typing import Optional
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from decimal import Decimal
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class TransactionBase(BaseModel):
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"""Base schema for transaction data."""
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run_date: date
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action: str
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symbol: Optional[str] = None
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description: Optional[str] = None
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transaction_type: Optional[str] = None
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exchange_quantity: Optional[Decimal] = None
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exchange_currency: Optional[str] = None
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currency: Optional[str] = None
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price: Optional[Decimal] = None
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quantity: Optional[Decimal] = None
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exchange_rate: Optional[Decimal] = None
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commission: Optional[Decimal] = None
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fees: Optional[Decimal] = None
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accrued_interest: Optional[Decimal] = None
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amount: Optional[Decimal] = None
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cash_balance: Optional[Decimal] = None
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settlement_date: Optional[date] = None
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class TransactionCreate(TransactionBase):
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"""Schema for creating a new transaction."""
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account_id: int
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unique_hash: str
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class TransactionResponse(TransactionBase):
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"""Schema for transaction API responses."""
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id: int
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account_id: int
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unique_hash: str
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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