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>
31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
"""Persist Builder entries into the resume document."""
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from __future__ import annotations
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from typing import Any
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from ..fsm import FSMError
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from ..resume_document_core import find_entry, new_id, normalize_document
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from .constants import SECTION_HEADINGS
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def save_entry(resume_content: dict[str, Any], section_kind: str, entry: dict[str, Any], *, entry_id: str | None) -> dict[str, Any]:
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content = normalize_document(resume_content)
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if entry_id:
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found = find_entry(content, entry_id)
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if found is None:
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raise FSMError("builder_entry_not_found", "The selected resume entry no longer exists", status_code=409)
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_, existing = found
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entry["id"] = existing["id"]
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existing.clear()
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existing.update(entry)
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return content
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sections = content.setdefault("sections", [])
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section = next((item for item in sections if item.get("kind") == section_kind), None)
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if section is None:
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section = {"id": new_id("sec"), "kind": section_kind, "heading": SECTION_HEADINGS.get(section_kind, section_kind), "items": []}
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sections.append(section)
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entry["id"] = entry.get("id") or new_id("entry")
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section.setdefault("items", []).append(entry)
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return content
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