"""Pydantic models for input validation."""

from pydantic import BaseModel, ConfigDict, Field


class SalaryInput(BaseModel):
    """Input model for salary prediction."""

    model_config = ConfigDict(
        json_schema_extra={
            "examples": [
                {
                    "country": "United States",
                    "years_code": 5.0,
                    "work_exp": 3.0,
                    "education_level": "Bachelor's degree",
                    "dev_type": "Developer, back-end",
                    "industry": "Software Development",
                    "age": "25-34 years old",
                    "ic_or_pm": "Individual contributor",
                    "org_size": "20 to 99 employees",
                    "employment": "Employed",
                }
            ]
        }
    )

    country: str = Field(..., description="Developer's country")
    years_code: float = Field(
        ...,
        ge=0,
        description="Including any education, how many years have you been coding in total?",
    )
    work_exp: float = Field(
        ...,
        ge=0,
        description="How many years of professional work experience do you have?",
    )
    education_level: str = Field(..., description="Education level")
    dev_type: str = Field(..., description="Developer type")
    industry: str = Field(..., description="Industry the developer works in")
    age: str = Field(..., description="Developer's age range")
    ic_or_pm: str = Field(..., description="Individual contributor or people manager")
    org_size: str = Field(
        ..., description="Size of the organisation the developer works for"
    )
    employment: str = Field(..., description="Current employment status")