52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
"""Transaction schemas."""
|
|
|
|
from datetime import datetime
|
|
from decimal import Decimal
|
|
from pydantic import BaseModel, ConfigDict
|
|
|
|
|
|
class TransactionBase(BaseModel):
|
|
app_source: str
|
|
transaction_type: str
|
|
amount: Decimal
|
|
currency: str = "CNY"
|
|
counterparty_name: str | None = None
|
|
counterparty_account: str | None = None
|
|
order_number: str | None = None
|
|
transaction_time: datetime | None = None
|
|
remark: str | None = None
|
|
confidence: str = "medium"
|
|
|
|
|
|
class TransactionCreate(TransactionBase):
|
|
case_id: int
|
|
screenshot_id: int
|
|
raw_text: str | None = None
|
|
|
|
|
|
class TransactionResponse(TransactionBase):
|
|
model_config = ConfigDict(from_attributes=True)
|
|
id: int
|
|
case_id: int
|
|
screenshot_id: int
|
|
raw_text: str | None = None
|
|
created_at: datetime
|
|
|
|
|
|
class TransactionListResponse(BaseModel):
|
|
items: list[TransactionResponse]
|
|
|
|
|
|
class TransactionExtractItem(BaseModel):
|
|
"""Single item as returned by LLM extraction (before DB insert)."""
|
|
app_source: str
|
|
transaction_type: str
|
|
amount: Decimal
|
|
currency: str = "CNY"
|
|
counterparty_name: str | None = None
|
|
counterparty_account: str | None = None
|
|
order_number: str | None = None
|
|
transaction_time: datetime | None = None
|
|
remark: str | None = None
|
|
confidence: str = "medium"
|