generated from kgod/ai-review-template
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>
154 lines
5.5 KiB
Python
154 lines
5.5 KiB
Python
from __future__ import annotations
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from copy import deepcopy
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from dataclasses import dataclass
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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 .fsm_enrichment import (
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add_another_transition,
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advance_or_finish,
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begin_module,
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current_module,
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mark_completed,
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)
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from .models import ComposerMode, Stage
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from .services import ExtractedExperience
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@dataclass(slots=True)
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class RewriteConfirmationTransition:
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stage: Stage
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profile: dict[str, Any]
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turn: dict[str, Any]
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lifecycle: str = "submitted"
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create_draft: bool = False
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resume_content: dict[str, Any] | None = None
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refresh_resume: bool = False
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def prepare_rewrite_confirmation(
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profile: dict[str, Any],
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extraction: ExtractedExperience,
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proposal: dict[str, Any],
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*,
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module: str | None = None,
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record_type: str | None = None,
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) -> tuple[dict[str, Any], dict[str, Any]]:
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updated = deepcopy(profile)
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pending = extraction.to_dict()
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if module is not None:
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pending["module"] = module
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if record_type is not None:
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pending["record_type"] = record_type
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pending["description"] = extraction.raw_text
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optimized = str(proposal.get("optimized_description") or "").strip()
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if optimized and optimized != extraction.raw_text.strip():
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pending_proposal = {
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"optimized_description": optimized,
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"changes": proposal.get("changes") or [],
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"source": proposal.get("source", "ai_expanded"),
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}
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for key in ("generation_source", "fallback_reason"):
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if proposal.get(key):
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pending_proposal[key] = proposal[key]
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pending["pending_proposal"] = pending_proposal
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updated["pending_experience"] = pending
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summary = _confirmation_summary(extraction)
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turn = assistant_turn(
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"我已把这段事实整理成正式简历语言,请确认后再写入简历。",
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[
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component(
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"ExperienceConfirmCard",
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title="确认 AI 改写",
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description="只在内容准确时加入简历;需要调整可返回继续描述。",
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value=summary,
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ai_proposal=pending.get("pending_proposal"),
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confirmation_kind="rewrite",
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)
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],
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mode=ComposerMode.UI_ONLY,
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)
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return updated, turn
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def process_rewrite_confirmation(
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profile: dict[str, Any], action: str, payload: dict[str, Any] | None = None
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) -> Transition | RewriteConfirmationTransition:
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updated = deepcopy(profile)
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normalized = action.strip().lower()
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payload = payload or {}
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pending = updated.get("pending_experience")
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module = pending.get("module") if isinstance(pending, dict) else None
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if normalized in {"edit", "revise", "edit_anchor"}:
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updated.pop("pending_experience", None)
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spec = _module_spec(updated, module)
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if spec is not None:
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return begin_module(updated, spec)
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return RewriteConfirmationTransition(
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Stage.RESUME_ENRICHING,
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updated,
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assistant_turn(
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"这版暂不写入。请补充或纠正事实,我会重新整理。",
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[],
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mode=ComposerMode.CHAT,
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),
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)
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if normalized not in {"confirm", "confirm_anchor", "confirm_rewrite"}:
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raise FSMError("invalid_action", "Confirm or revise the proposed rewrite")
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experience = updated.pop("pending_experience", None)
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if not isinstance(experience, dict):
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raise FSMError("rewrite_not_pending", "No proposed rewrite is waiting for confirmation")
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proposal = experience.pop("pending_proposal", None)
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if isinstance(proposal, dict) and payload.get("use_optimized") is True:
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experience["description"] = str(proposal.get("optimized_description") or "").strip()
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experience["provenance"] = proposal.get("source", "ai_expanded")
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record_type = experience.get("record_type")
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if record_type:
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record = {**experience, "confirmed": True, "rewrite_confirmed": True}
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updated.setdefault("records", {}).setdefault(record_type, []).append(record)
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else:
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updated.setdefault("experiences", []).append(experience)
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updated["ai_rewrites_confirmed"] = True
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spec = _module_spec(updated, module)
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if spec is not None:
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if spec.multi:
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transition = add_another_transition(updated, spec)
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else:
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mark_completed(updated, spec.name)
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transition = advance_or_finish(updated)
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transition.refresh_resume = True
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return transition
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return RewriteConfirmationTransition(
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Stage.CONTENT_READY,
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updated,
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assistant_turn(
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"已确认并写入简历。",
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[
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component(
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"ContentReadyCard",
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formal_content_ready=True,
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actions=["continue_enriching", "finish_enrichment"],
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)
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],
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mode=ComposerMode.HYBRID,
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),
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lifecycle="confirmed",
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refresh_resume=True,
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)
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def _module_spec(profile: dict[str, Any], module: Any):
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if not module:
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return None
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spec = current_module(profile)
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return spec if spec is not None and spec.name == module else None
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def _confirmation_summary(extraction: ExtractedExperience) -> dict[str, Any]:
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return {
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"title": extraction.title,
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"organization": extraction.organization,
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"role": extraction.role,
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"description": extraction.raw_text,
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} |