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55 lines
2.4 KiB
Python
55 lines
2.4 KiB
Python
"""add news_headline table
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Revision ID: n5d6e7f8h9i0
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Revises: m4e5f6g7h8i9
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Create Date: 2026-04-25
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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revision: str = "n5d6e7f8h9i0"
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down_revision: Union[str, Sequence[str], None] = "m4e5f6g7h8i9"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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conn = op.get_bind()
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if not conn.dialect.has_table(conn, "news_headline"):
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op.create_table(
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"news_headline",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("source", sa.String(30), nullable=False),
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sa.Column("source_id", sa.String(100), nullable=False),
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sa.Column("ticker", sa.String(10), nullable=False),
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sa.Column("tickers_all", postgresql.ARRAY(sa.String(10)), nullable=True),
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sa.Column("published_at", postgresql.TIMESTAMP(timezone=True), nullable=False),
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sa.Column("headline", sa.Text(), nullable=False),
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sa.Column("summary", sa.Text(), nullable=True),
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sa.Column("url", sa.Text(), nullable=True),
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sa.Column("language", sa.String(8), server_default="en"),
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sa.Column("vendor_categories", postgresql.ARRAY(sa.String(50)), nullable=True),
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sa.Column("categories", postgresql.ARRAY(sa.String(50)), nullable=True),
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sa.Column("raw_sentiment", sa.Float(), nullable=True),
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sa.Column("is_primary", sa.Boolean(), nullable=False, server_default=sa.text("false")),
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sa.Column("ingested_at", postgresql.TIMESTAMP(timezone=True), nullable=False),
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sa.Column("created_at", postgresql.TIMESTAMP(timezone=True)),
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sa.Column("updated_at", postgresql.TIMESTAMP(timezone=True)),
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sa.UniqueConstraint(
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"source", "source_id", "ticker",
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name="uq_news_headline_source_ticker",
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),
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)
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op.create_index("idx_news_ticker_published", "news_headline", ["ticker", "published_at"])
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op.create_index("idx_news_published", "news_headline", ["published_at"])
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op.create_index("idx_news_source_published", "news_headline", ["source", "published_at"])
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op.create_index("idx_news_ingested", "news_headline", ["ingested_at"])
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def downgrade() -> None:
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op.drop_table("news_headline")
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