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67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
"""Legislator model - members of Congress."""
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from __future__ import annotations
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from datetime import date
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from typing import TYPE_CHECKING
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from sqlalchemy import ForeignKey, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from python.orm.data_science_dev.base import DataScienceDevTableBase
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if TYPE_CHECKING:
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from python.orm.data_science_dev.congress.vote import VoteRecord
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class Legislator(DataScienceDevTableBase):
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"""Members of Congress with identification and current term info."""
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__tablename__ = "legislator"
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bioguide_id: Mapped[str] = mapped_column(Text, unique=True, index=True)
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thomas_id: Mapped[str | None]
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lis_id: Mapped[str | None]
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govtrack_id: Mapped[int | None]
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opensecrets_id: Mapped[str | None]
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fec_ids: Mapped[str | None]
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first_name: Mapped[str]
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last_name: Mapped[str]
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official_full_name: Mapped[str | None]
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nickname: Mapped[str | None]
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birthday: Mapped[date | None]
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gender: Mapped[str | None]
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current_party: Mapped[str | None]
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current_state: Mapped[str | None]
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current_district: Mapped[int | None]
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current_chamber: Mapped[str | None]
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social_media_accounts: Mapped[list[LegislatorSocialMedia]] = relationship(
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"LegislatorSocialMedia",
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back_populates="legislator",
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cascade="all, delete-orphan",
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)
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vote_records: Mapped[list[VoteRecord]] = relationship(
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"VoteRecord",
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back_populates="legislator",
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cascade="all, delete-orphan",
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)
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class LegislatorSocialMedia(DataScienceDevTableBase):
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"""Social media account linked to a legislator."""
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__tablename__ = "legislator_social_media"
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legislator_id: Mapped[int] = mapped_column(ForeignKey("main.legislator.id"))
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platform: Mapped[str]
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account_name: Mapped[str]
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url: Mapped[str | None]
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source: Mapped[str]
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legislator: Mapped[Legislator] = relationship(back_populates="social_media_accounts")
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