59d4b19d7d
- Phase1/2：移除 MemoirOrchestrator.run 与 process_memoir_segments 别名；文档改为 process_memoir_phase1。 - 槽位校验集中到 stage_constants（filter_stage_slots），批处理与顺序路径及 state_service 写库一致。 - StoryRoute：no_llm/parse_error/invalid_target 保守 new_story；短篇护栏不覆盖这些 fallback。 - Phase2 低置信单路径可选延迟（StoryPipelineResult.deferred）：不写 Chapter/Story，Segment 记录 defer 元数据，冷却内不重复消费；上限后停自动重试，Phase1 同类目新段唤醒池内段。 - Alembic 0017：segments 表 narrative_defer_* 列。 - ProfileAgent：经 LlmGateway/注入 Provider 统一聊天与 JSON，新增测试。 - ImagePromptOrchestrator：LLM 初始化失败可依配置降级或硬失败；补充策略测试。 - 配套单测与 README/本地开发文档表述更新。 Co-authored-by: Cursor <cursoragent@cursor.com>
76 lines
2.0 KiB
Python
76 lines
2.0 KiB
Python
"""segments：Phase2 低置信路由延迟元数据
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Revision ID: 0017_segment_narrative_defer
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Revises: 0016_memory_pipeline_status
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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revision: str = "0017_segment_narrative_defer"
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down_revision: Union[str, None] = "0016_memory_pipeline_status"
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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 _column_names(table_name: str) -> set[str]:
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bind = op.get_bind()
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inspector = sa.inspect(bind)
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return {column["name"] for column in inspector.get_columns(table_name)}
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def upgrade() -> None:
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columns = _column_names("segments")
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if "narrative_deferred_until" not in columns:
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op.add_column(
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"segments",
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sa.Column(
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"narrative_deferred_until",
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sa.DateTime(timezone=True),
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nullable=True,
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),
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)
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if "narrative_defer_count" not in columns:
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op.add_column(
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"segments",
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sa.Column(
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"narrative_defer_count",
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sa.Integer(),
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nullable=False,
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server_default=sa.text("0"),
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),
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)
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if "narrative_defer_reason" not in columns:
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op.add_column(
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"segments",
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sa.Column(
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"narrative_defer_reason",
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sa.String(),
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nullable=True,
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),
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)
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if "narrative_last_attempt_at" not in columns:
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op.add_column(
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"segments",
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sa.Column(
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"narrative_last_attempt_at",
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sa.DateTime(timezone=True),
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nullable=True,
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),
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)
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def downgrade() -> None:
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columns = _column_names("segments")
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for column in (
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"narrative_last_attempt_at",
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"narrative_defer_reason",
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"narrative_defer_count",
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"narrative_deferred_until",
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):
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if column in columns:
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op.drop_column("segments", column)
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