zephyrdark
eb06dfc48b
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Deploy to Production / deploy (push) Successful in 1m32s
Phase 1 (Critical): - Add bulk rebalance apply API + UI with confirmation modal - Add strategy results to portfolio targets flow (shared component) Phase 2 (Important): - Show current holdings in signal execute modal with auto-fill - Add DC pension risk asset ratio warning (70% limit) - Add KOSPI benchmark comparison to portfolio returns - Track signal execution details (price, quantity, timestamp) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
924 B
Python
31 lines
924 B
Python
"""add signal execution tracking fields
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Revision ID: a1b2c3d4e5f6
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Revises: 6c09aa4368e5
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Create Date: 2026-02-19 14:00:00.000000
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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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# revision identifiers, used by Alembic.
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revision: str = 'a1b2c3d4e5f6'
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down_revision: Union[str, None] = '6c09aa4368e5'
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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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op.add_column('signals', sa.Column('executed_price', sa.Numeric(precision=12, scale=2), nullable=True))
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op.add_column('signals', sa.Column('executed_quantity', sa.Integer(), nullable=True))
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op.add_column('signals', sa.Column('executed_at', sa.DateTime(), nullable=True))
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def downgrade() -> None:
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op.drop_column('signals', 'executed_at')
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op.drop_column('signals', 'executed_quantity')
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op.drop_column('signals', 'executed_price')
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