from datetime import datetime from enum import Enum from typing import List, Optional from pydantic import BaseModel class InvestmentStage(str, Enum): SEED = "SEED" SERIES_A = "SERIES_A" SERIES_B = "SERIES_B" SERIES_C = "SERIES_C" GROWTH = "GROWTH" LATE_STAGE = "LATE_STAGE" class SectorSchema(BaseModel): id: int name: str class Config: from_attributes = True class InvestorMemberSchema(BaseModel): id: int name: str role: str email: str class Config: from_attributes = True class CompanyMemberSchema(BaseModel): id: int name: Optional[str] = None linkedin: Optional[str] = None role: Optional[str] = None company_id: int class Config: from_attributes = True class CompanySchema(BaseModel): id: int name: str industry: str location: str description: Optional[str] founded_year: Optional[int] website: Optional[str] created_at: Optional[datetime] updated_at: Optional[datetime] class Config: from_attributes = True class InvestorSchema(BaseModel): id: int name: str description: Optional[str] aum: int check_size_lower: int check_size_upper: int geographic_focus: str stage_focus: InvestmentStage number_of_investments: int created_at: Optional[datetime] updated_at: Optional[datetime] class Config: from_attributes = True class InvestorData(BaseModel): """Comprehensive investor data schema for LLM processing""" investor: InvestorSchema portfolio_companies: List[CompanySchema] team_members: List[InvestorMemberSchema] sectors: List[SectorSchema] class Config: from_attributes = True class CompanyData(BaseModel): # Renamed from CompaniesData for consistency company: CompanySchema sectors: List[SectorSchema] members: List[CompanyMemberSchema] investors: List[InvestorSchema] class Config: from_attributes = True class InvestorList(BaseModel): investors: List[InvestorData]