feat: log presence, read receipts, group leaves, links, profiles, stories
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"""presence hypertable
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Revision ID: e5c1f0a72b9d
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Revises: d4b9f2e6a1c7
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Create Date: 2026-05-29 21:00:00.000000
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"""
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from collections.abc import Sequence
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import sqlalchemy as sa
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from alembic import op
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from sqlalchemy.dialects import postgresql
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revision: str = "e5c1f0a72b9d"
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down_revision: str | None = "d4b9f2e6a1c7"
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branch_labels: str | Sequence[str] | None = None
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depends_on: str | Sequence[str] | None = None
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def upgrade() -> None:
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op.create_table(
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"presence",
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sa.Column("account_id", sa.Integer(), nullable=False),
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sa.Column("peer_id", sa.BigInteger(), nullable=False),
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sa.Column("ts", sa.DateTime(timezone=True), nullable=False),
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sa.Column("status", sa.String(), nullable=False),
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sa.Column("last_online_date", sa.DateTime(timezone=True), nullable=True),
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sa.Column("next_offline_date", sa.DateTime(timezone=True), nullable=True),
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sa.Column("raw", postgresql.JSONB(astext_type=sa.Text()), nullable=False),
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sa.PrimaryKeyConstraint("account_id", "peer_id", "ts"),
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)
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op.execute(
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"SELECT create_hypertable('presence', by_range('ts', INTERVAL '1 week'))"
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)
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op.execute(
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"ALTER TABLE presence SET ("
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"timescaledb.enable_columnstore = true, "
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"timescaledb.segmentby = 'peer_id', "
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"timescaledb.orderby = 'ts DESC')"
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)
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op.execute("CALL add_columnstore_policy('presence', after => INTERVAL '30 days')")
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op.execute(
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"CREATE MATERIALIZED VIEW presence_hourly "
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"WITH (timescaledb.continuous) AS "
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"SELECT time_bucket('1 hour', ts) AS bucket, "
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"account_id, peer_id, "
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"count(*) AS samples, "
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"count(*) FILTER (WHERE status = 'online') AS online_samples, "
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"max(ts) AS last_seen "
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"FROM presence "
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"GROUP BY bucket, account_id, peer_id "
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"WITH NO DATA"
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)
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op.execute(
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"SELECT add_continuous_aggregate_policy('presence_hourly', "
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"start_offset => INTERVAL '3 hours', "
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"end_offset => INTERVAL '1 hour', "
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"schedule_interval => INTERVAL '1 hour')"
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)
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def downgrade() -> None:
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op.execute("DROP MATERIALIZED VIEW IF EXISTS presence_hourly")
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op.drop_table("presence")
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