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>
23 lines
891 B
Python
23 lines
891 B
Python
"""Skill group updates that preserve recommender-assigned categories.
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apply_update_skill_groups lives in an over-limit module and keeps keyword-only
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classification for manual patch edits; this wrapper reuses its cleaning and then
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re-groups with the recommender's (LLM) categories, which win over keywords.
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"""
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from __future__ import annotations
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from typing import Any
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from .resume_document_mutations import apply_update_skill_groups
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from .skill_classifier import classify_skills
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def update_skill_groups(
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content: dict[str, Any], skills: list[Any], preferred_categories: dict[str, str] | None = None
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) -> dict[str, Any]:
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result = apply_update_skill_groups(content, skills)
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flat = [skill for group in result.get("skill_groups") or [] for skill in group.get("skills") or []]
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result["skill_groups"] = classify_skills(flat, preferred=preferred_categories)
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return result
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