Siddharaj Shirke
v1 completed successfully
67c8aca
from pydantic import BaseModel, Field
from typing import Optional
from datetime import datetime
class LoanApplicationBase(BaseModel):
applicant_name: Optional[str] = "Applicant"
gender: str = Field(..., description="Male or Female")
married: str = Field(..., description="Yes or No")
dependents: str = Field(..., description="0, 1, 2, 3+")
education: str = Field(..., description="Graduate or Not Graduate")
self_employed: str = Field(..., description="Yes or No")
applicant_income: float = Field(..., description="Monthly Applicant Income")
coapplicant_income: float = Field(..., description="Monthly Co-applicant Income")
loan_amount: float = Field(..., description="Total Loan AmountRequested")
loan_amount_term: float = Field(..., description="Loan Term in Months")
credit_history: float = Field(..., description="1.0 for Yes, 0.0 for No")
property_area: str = Field(..., description="Urban, Semiurban, Rural")
class LoanApplicationCreate(LoanApplicationBase):
pass
class LoanApplicationResponse(LoanApplicationBase):
id: int
prediction: str
confidence: float
dti_ratio: float
explanation_text: Optional[str] = None
optimized_suggestion: Optional[str] = None
feature_importance_json: Optional[str] = None
benchmarks_json: Optional[str] = None
created_at: datetime
class Config:
from_attributes = True