generated from kgod/ai-review-template
hypandClaude
ae2d9b128d
自内部仓库剥离深度优化与 RAG 知识库后的交付版本： - Builder 对话式简历生成（FSM + 意图路由 LLM 兜底增强） - 条目级轻度优化：事实覆盖门禁 + STAR/bullet 修复链，功能/简介/成果与技术栈同级保护 - 简历导入：DOCX/PDF 解析、结构归一、手机号脱敏 - PostgreSQL 运行时 + Alembic 迁移链 Co-Authored-By: Claude <noreply@anthropic.com>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
from __future__ import annotations
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from alembic import context
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from sqlalchemy import engine_from_config, pool
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from app.db.schema import build_session_tables
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config = context.config
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schema = config.get_main_option("resume_agent.schema", "resume_agent")
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target_metadata, _ = build_session_tables(schema)
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def run_migrations_offline() -> None:
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context.configure(
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url=config.get_main_option("sqlalchemy.url"),
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target_metadata=target_metadata,
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include_schemas=True,
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version_table_schema=schema,
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literal_binds=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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connection.exec_driver_sql(f'CREATE SCHEMA IF NOT EXISTS "{schema}"')
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connection.commit()
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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include_schemas=True,
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version_table_schema=schema,
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online() |