- constants: 新增 TEXT_NARRATIVE_BY_STRATEGY(A痛点/B场景/C成分),与图片侧同轴 - build_prompt: 加 strategy_narrative 参数并注入 prompt - text_variants: 全链路透传(含优化轮) - run_text_generation: 改循环三套,text_count均摊(divmod余前补),跨套去重,打_strategy标记 - TextCandidate: 加 strategy String(4) 字段 + 迁移021(已upgrade head) - packaging: 打包按strategy精准配对文图(texts_by_strategy映射+三层兜底) - SSE text_candidate 事件携带 strategy 独立agent交叉验证7改造点全过,边界(text_count<3/无别名/不截断)无must-fix Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
31 lines
961 B
Python
31 lines
961 B
Python
"""021 text_candidates 表加 strategy 正交叙事套字段(A8 三套不同角度文案)
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Revision ID: 021
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Revises: 020
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Create Date: 2026-06-18
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A8(倩倩姐2026-06-18拍板「方向对,按这个写」):文案按 A/B/C 三套正交叙事
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分别生成(A痛点先行/B场景先行/C成分背书先行),与图片侧 strategy 同轴。
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text_candidates 加 strategy 字段记录每条属哪套,供前端分组展示 + 打包按套精准
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匹配文图(不再靠脆弱 idx 对应)。旧数据 strategy=NULL 不影响展示。
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"""
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from alembic import op
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import sqlalchemy as sa
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revision = "021"
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down_revision = "020"
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branch_labels = None
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depends_on = None
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def upgrade():
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op.add_column(
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"text_candidates",
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sa.Column("strategy", sa.String(length=4), nullable=True,
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comment="A/B/C 正交叙事套(A痛点/B场景/C成分),与图片侧同轴"),
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)
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def downgrade():
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op.drop_column("text_candidates", "strategy")
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