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from typing import List, Optional
from sqlalchemy import ARRAY, String, Text, JSON
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy.dialects.postgresql import UUID
import uuid
from infrastructure.dto.database.base import Base
class Company(Base):
"""
Represents a company with optional fields to match frontend requirements.
SQLAlchemy model for database persistence.
"""
__tablename__ = "companies"
id: Mapped[str] = mapped_column(
UUID(as_uuid=False),
primary_key=True,
default=lambda: str(uuid.uuid4()),
doc="Unique identifier for the company",
)
name: Mapped[Optional[str]] = mapped_column(String(255), doc="Name of the company")
industry: Mapped[Optional[str]] = mapped_column(
String(255), doc="Industry sector of the company"
)
compatibility: Mapped[Optional[str]] = mapped_column(
String(50),
doc="Compatibility rate with the prospect (e.g., '95% compatibility')",
)
source: Mapped[Optional[str]] = mapped_column(
String(255), doc="Source of the information (e.g., 'LinkedIn Sales Navigator')"
)
location: Mapped[Optional[str]] = mapped_column(
String(255), doc="Location of the company"
)
size: Mapped[Optional[str]] = mapped_column(
String(100), doc="Company size (e.g., '50-200 employees')"
)
revenue: Mapped[Optional[str]] = mapped_column(
String(100), doc="Company revenue (e.g., '5-10M€')"
)
website: Mapped[Optional[str]] = mapped_column(String(500), doc="Company website")
description: Mapped[Optional[str]] = mapped_column(
Text, doc="Description of the company ('About')"
)
opportunities: Mapped[Optional[List[str]]] = mapped_column(
ARRAY(String),
doc="List of opportunities or keywords associated with the company",
)
def __repr__(self) -> str:
"""
String representation of the Company object.
Returns:
str: A string representation showing id, name, and industry.
"""
return (
f"Company(id={self.id!r}, name={self.name!r}, industry={self.industry!r})"
)
# Type alias for a list of companies
CompanyList = List[Company]