pydantic model for CV data extraction

model.py

class Job(BaseModel):
    """A Job or position extracted from the resume"""
    position: str = Field(..., description="Name of the position")
    company: str = Field(..., description="Company name")
    start_date: str = Field(None, description="Start date of the job")
    end_date: str = Field(None, description="End date of the job or 'Present'")
    top_keywords: list[str] = Field(None, description="List of max. top 10 keywords, skills and technologies used for the job")

class Degree(BaseModel):
    """Degree or other type of education extracted from the resume"""
    name: str = Field(..., description="Name of the degree and field of study")
    institution: str = Field(None, description="University name")
    start_date: str = Field(None, description="Start date of the studies")
    end_date: str = Field(None, description="End date of the studies")

@marvin.ai_model(client=client, temperature=0.0)
class Resume(BaseModel):
    """Resume data extracted from the resume"""
    name: str = Field(..., description="The name of the person")
    email: str = Field(None, description="Email address of the person")
    phone: str = Field(None, description="Phone number of the person")
    location: str = Field(None, description="Current residence of the person")
    websites: str = Field(None, description="Website like LinkedIn, GitHub, Behance, etc.")
    work_experience: list[Job] = None
    education: list[Degree] = None
    skills: list[str] = Field(None, description="List of core skills and technologies")
    languages: list[str] = Field(None, description="List of languages spoken by the person")