"""initial schema columns lifespan 에서 관리하던 ADD COLUMN / CREATE TABLE DDL 을 Alembic 으로 이전. 이 revision 이 적용된 후에는 main.py lifespan 의 raw SQL DDL 블록은 제거됨. Revision ID: 0001 Revises: Create Date: 2026-02-27 """ from typing import Sequence, Union from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql revision: str = "0001" down_revision: Union[str, None] = None branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None def upgrade() -> None: # ── trade_history 컬럼 추가 ───────────────────────────────────────────── with op.batch_alter_table("trade_history", schema=None) as batch_op: for col_name, col_type in [ ("total_amount", sa.Numeric(15, 2)), ("entry_reason", sa.Text()), ("exit_reason", sa.Text()), ("signals", postgresql.JSONB()), ("entry_trade_id", sa.Integer()), ("slippage", sa.Numeric(10, 2)), ("commission", sa.Numeric(10, 2)), ("net_profit_loss", sa.Numeric(15, 2)), ("profit_loss_rate", sa.Numeric(10, 4)), ]: try: batch_op.add_column(sa.Column(col_name, col_type, nullable=True)) except (sa.exc.OperationalError, sa.exc.ProgrammingError): pass # 이미 존재하는 컬럼은 무시 # total_amount 백필 op.execute(""" UPDATE trade_history SET total_amount = executed_price * executed_quantity WHERE total_amount IS NULL AND executed_price IS NOT NULL AND executed_quantity IS NOT NULL """) # ── stock_analysis 컬럼 추가 ──────────────────────────────────────────── with op.batch_alter_table("stock_analysis", schema=None) as batch_op: for col_name, col_type in [ ("atr_14", sa.Numeric(15, 2)), ("adx_14", sa.Numeric(10, 2)), ("ml_score", sa.Integer()), ("ml_confidence", sa.Numeric(5, 4)), ("ml_signal", sa.String(10)), ]: try: batch_op.add_column(sa.Column(col_name, col_type, nullable=True)) except Exception: pass # stock_analysis 유니크 제약 추가 (idempotent) op.execute(""" DO $$ BEGIN IF NOT EXISTS ( SELECT 1 FROM pg_constraint WHERE conname = 'uq_stock_analysis_code_date' AND conrelid = 'stock_analysis'::regclass ) THEN ALTER TABLE stock_analysis ADD CONSTRAINT uq_stock_analysis_code_date UNIQUE (stock_code, analysis_date); END IF; END $$; """) # ── active_trades 컬럼 추가 ───────────────────────────────────────────── with op.batch_alter_table("active_trades", schema=None) as batch_op: for col_name, col_type, default in [ ("remaining_pct", sa.Numeric(5, 2), "1.0"), ("highest_since_entry", sa.Numeric(15, 2), None), ("strategy_name", sa.String(100), None), ]: try: col = sa.Column(col_name, col_type, nullable=True, server_default=default if default else sa.null()) batch_op.add_column(col) except Exception: pass # ── trading_sessions 테이블 ───────────────────────────────────────────── op.execute(""" CREATE TABLE IF NOT EXISTS trading_sessions ( id SERIAL PRIMARY KEY, session_date DATE UNIQUE NOT NULL, consecutive_losses INTEGER DEFAULT 0, daily_profit_loss NUMERIC(15, 2) DEFAULT 0, is_paused BOOLEAN DEFAULT FALSE, pause_reason TEXT, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ) """) # ── stock_bans 테이블 ─────────────────────────────────────────────────── op.execute(""" CREATE TABLE IF NOT EXISTS stock_bans ( stock_code VARCHAR(20) PRIMARY KEY, consecutive_losses INTEGER DEFAULT 0 NOT NULL, ban_until TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ) """) def downgrade() -> None: # downgrade 는 데이터 손실 위험이 있으므로 명시적으로 구현하지 않음 # 필요 시 ALTER TABLE DROP COLUMN 을 수동으로 실행 pass