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| from typing import List, Optional, Dict, Any | |
| from pydantic import BaseModel, Field | |
| class ProfileData(BaseModel): | |
| """Structured LinkedIn profile data""" | |
| full_name: Optional[str] = None | |
| headline: Optional[str] = None | |
| about: Optional[str] = None | |
| location: Optional[str] = None # Added based on scraper output | |
| profile_url: Optional[str] = None # Added based on scraper output | |
| experience: List[Dict[str, Any]] = Field(default_factory=list) | |
| education: List[Dict[str, Any]] = Field(default_factory=list) | |
| skills: List[str] = Field(default_factory=list) | |
| recommendations: List[Dict[str, Any]] = Field(default_factory=list) | |
| accomplishments: List[Dict[str, Any]] = Field(default_factory=list) # Added based on scraper output | |
| raw_data: Dict[str, Any] = Field(default_factory=dict) | |
| class Config: | |
| arbitrary_types_allowed = True | |
| # Add other core, reusable data models here if needed in the future. |