T2: Pydantic v2 — replace @dataclass with BaseModel

- 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.
This commit is contained in:
2026-10-08 16:42:04 +03:00
parent feb77ef217
commit c765f3672a
12 changed files with 112 additions and 187 deletions
+16 -23
View File
@@ -1,33 +1,26 @@
from dataclasses import dataclass, field
from uuid import UUID, uuid4
from pydantic import BaseModel, Field, field_validator
@dataclass
class RecurringCashflow:
id: UUID = field(default_factory=uuid4)
class RecurringCashflow(BaseModel):
id: UUID = Field(default_factory=uuid4)
start_date: str = ""
end_date: str = ""
frequency: str = "monthly"
amount: float = 0.0
category: str = ""
def to_dict(self) -> dict:
return {
"id": str(self.id),
"start_date": self.start_date,
"end_date": self.end_date,
"frequency": self.frequency,
"amount": self.amount,
"category": self.category,
}
@field_validator("frequency")
@classmethod
def from_dict(cls, data: dict) -> "RecurringCashflow":
return cls(
id=UUID(data["id"]),
start_date=data.get("start_date", ""),
end_date=data.get("end_date", ""),
frequency=data.get("frequency", "monthly"),
amount=data.get("amount", 0.0),
category=data.get("category", ""),
)
def _frequency_known(cls, v: str) -> str:
if v not in {"daily", "weekly", "monthly", "yearly"}:
raise ValueError(f"unknown frequency: {v}")
return v
@field_validator("amount")
@classmethod
def _amount_nonzero(cls, v: float) -> float:
if v == 0:
raise ValueError("amount must be non-zero")
return v