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>
96 lines
4.2 KiB
Python
96 lines
4.2 KiB
Python
"""Builder 个人总结再生入口：finish 按钮与对话指令统一走"显式请求即重生成"。
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agent 侧只在总结缺失或 stale 时才生成（避免自动覆盖用户手工文本）；用户的显式
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请求必须先把现有总结标记为 stale，让既有闸门放行。对话路径无法直接写简历
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（add_message 不合并 resume_content），所以走"生成候选 → ChoiceChips 确认 →
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组件事件写入"的既有 Builder 模式。
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"""
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from __future__ import annotations
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import re
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from typing import Any
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from ..fsm import FSMError, Transition, assistant_turn, component
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from ..models import ComposerMode, Stage
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from ..resume_document import mark_profile_summary_stale, set_generated_profile_summary
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from .constants import u
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from .state import _set_stream_phases, ensure_builder_state
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SUMMARY_APPLY_MODULE = "builder_summary_apply"
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_REGEN_VERB = re.compile(r"(重新|再次|再来|重写|更新|刷新|换|再).{0,6}总结")
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_ASK_GENERATE = re.compile(r"(?:帮我|请|我要|我想|给我).{0,6}生成.{0,4}总结|^生成.{0,4}总结")
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def requests_summary_regen(content: str) -> bool:
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""""重新生成个人总结"类指令；提供总结原文或陈述事实的消息不算。"""
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normalized = re.sub(r"[\s,，。；;！!？?]", "", content.casefold())
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if "总结" not in normalized or "总结是" in normalized:
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return False
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return bool(_REGEN_VERB.search(normalized) or _ASK_GENERATE.search(normalized))
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def finish_transition(profile: dict[str, Any], resume_content: dict[str, Any]) -> Transition:
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""""完成并生成个人总结"：已有总结也强制重生成（先标记 stale 放行闸门）。"""
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_set_stream_phases(profile, "saving")
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return Transition(
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Stage.BUILDER_CONVERSATION,
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profile,
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assistant_turn(
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u("好的，已根据当前简历预览信息生成个人总结，内容仍可在右侧预览中编辑。"),
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[],
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mode=ComposerMode.CHAT,
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),
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resume_content=mark_profile_summary_stale(resume_content),
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generate_profile_summary=True,
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)
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def summary_regen_turn(agent: Any, profile: dict[str, Any], resume_content: dict[str, Any]) -> Transition:
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"""对话"重新生成个人总结"：立即生成候选文本，确认后经组件事件写入简历。"""
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try:
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proposal = agent.profile_summary_generator.generate(resume_content)
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except Exception:
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return Transition(
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Stage.BUILDER_CONVERSATION,
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profile,
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assistant_turn(u("个人总结生成失败，请稍后重试。"), [], mode=ComposerMode.CHAT),
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)
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ensure_builder_state(profile)["pending_summary_proposal"] = proposal
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card = component(
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"ChoiceChips",
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module=SUMMARY_APPLY_MODULE,
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options=[
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{"value": "apply", "label": u("写入简历")},
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{"value": "dismiss", "label": u("暂不写入")},
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],
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)
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return Transition(
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Stage.BUILDER_CONVERSATION,
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profile,
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assistant_turn(u("好的，已根据当前简历内容重新生成个人总结：\n") + proposal, [card], mode=ComposerMode.CHAT),
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)
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def apply_summary_proposal(
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profile: dict[str, Any], action: str, payload: dict[str, Any], resume_content: dict[str, Any]
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) -> Transition:
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"""确认卡事件：apply 写入候选总结（随组件事件合并进简历），否则丢弃。"""
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if action != "select":
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raise FSMError("invalid_builder_choice", "Choose whether to apply the summary", status_code=422)
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proposal = str(ensure_builder_state(profile).pop("pending_summary_proposal", "") or "").strip()
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if str(payload.get("value") or "") != "apply" or not proposal:
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return Transition(
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Stage.BUILDER_CONVERSATION,
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profile,
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assistant_turn(u("好的，保留当前个人总结。"), [], mode=ComposerMode.CHAT),
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)
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content = set_generated_profile_summary(mark_profile_summary_stale(resume_content), proposal, replace_stale=True)
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return Transition(
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Stage.BUILDER_CONVERSATION,
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profile,
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assistant_turn(u("已写入新的个人总结，仍可在右侧预览中编辑。"), [], mode=ComposerMode.CHAT),
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lifecycle="confirmed",
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resume_content=content,
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)
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