- All domain models now use pydantic.BaseModel
- Removed manual to_dict()/from_dict() — use model_dump(mode='json')/model_validate()
- Added field validators:
- Account.balance >= 0
- Transaction.amount != 0
- RecurringCashflow.amount != 0, frequency in {daily, weekly, monthly, yearly}
- Liability.interest, payment >= 0
- ExchangeRate.rate > 0
- ForecastScenario.multipliers >= 0
- pydantic v2 native UUID handling (auto str in JSON)
- Updated excel_sync.py to use model_validate()
- Updated tests/test_model.py and tests/test_currency.py
- Added pydantic>=2.0 to pyproject.toml
Tests: 63/63 pass.
27 lines
716 B
Python
27 lines
716 B
Python
from uuid import UUID, uuid4
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from pydantic import BaseModel, Field, field_validator
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class RecurringCashflow(BaseModel):
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id: UUID = Field(default_factory=uuid4)
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start_date: str = ""
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end_date: str = ""
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frequency: str = "monthly"
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amount: float = 0.0
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category: str = ""
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@field_validator("frequency")
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@classmethod
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def _frequency_known(cls, v: str) -> str:
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if v not in {"daily", "weekly", "monthly", "yearly"}:
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raise ValueError(f"unknown frequency: {v}")
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return v
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@field_validator("amount")
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@classmethod
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def _amount_nonzero(cls, v: float) -> float:
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if v == 0:
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raise ValueError("amount must be non-zero")
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return v
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