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 CompanySchema(BaseModel):
    id: int
    name: str
    industry: str
    location: str
    founded_year: Optional[int]
    website: Optional[str]
    created_at: Optional[datetime]
    updated_at: Optional[datetime]

    class Config:
        from_attributes = True


class InvestorTeamMemberSchema(BaseModel):
    id: int
    name: str
    role: str
    email: str

    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[InvestorTeamMemberSchema] = []
    sectors: List[SectorSchema] = []

    class Config:
        from_attributes = True


class InvestorList(BaseModel):
    investors: List[InvestorData]