Add matched training signals, daily recovery and performance analysis
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"""Daily recovery, individual effort bands and private session context."""
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import sqlalchemy as sa
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from alembic import op
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revision = "7c6e32b491ad"
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down_revision = "f31a0c9286bd"
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branch_labels = None
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depends_on = None
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def upgrade():
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with op.batch_alter_table("garmin_connection") as batch:
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batch.add_column(sa.Column("health_enabled", sa.Boolean(), nullable=False,
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server_default=sa.false()))
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batch.add_column(sa.Column("health_message", sa.String(200), nullable=False,
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server_default="Daily recovery sync is off."))
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with op.batch_alter_table("user") as batch:
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batch.add_column(sa.Column("hr_bands", sa.JSON()))
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with op.batch_alter_table("activity") as batch:
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batch.add_column(sa.Column("session_context", sa.JSON(), nullable=False,
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server_default="{}"))
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op.create_table("daily_health",
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column("owner_id", sa.Integer(), sa.ForeignKey("user.id"), nullable=False),
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sa.Column("day", sa.Date(), nullable=False),
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sa.Column("values", sa.JSON(), nullable=False),
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sa.Column("fetched_at", sa.DateTime(timezone=True), nullable=False),
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sa.UniqueConstraint("owner_id", "day"))
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op.create_index("ix_daily_health_owner_id", "daily_health", ["owner_id"])
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def downgrade():
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op.drop_table("daily_health")
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with op.batch_alter_table("activity") as batch:
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batch.drop_column("session_context")
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with op.batch_alter_table("user") as batch:
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batch.drop_column("hr_bands")
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with op.batch_alter_table("garmin_connection") as batch:
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batch.drop_column("health_message")
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batch.drop_column("health_enabled")
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