feat: builder 简历生成 + 轻度优化 + 简历导入交付副本

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>

backend/app/optimization_models.py

@@ -0,0 +1,44 @@
+"""Contracts shared by the light and deep experience optimization flows."""
+
+from __future__ import annotations
+
+from typing import Any, Literal
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class OptimizationStartRequest(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    entry_id: str = Field(min_length=1, max_length=64)
+    instruction: str | None = Field(default=None, max_length=200)
+    source: str | None = Field(default=None, max_length=32)
+
+
+class OptimizationAnswerRequest(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    answer: str = Field(min_length=1, max_length=1000)
+
+
+class TargetPositionRequest(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    target_position: str = Field(min_length=1, max_length=32)
+
+
+class OptimizationRunView(BaseModel):
+    id: str
+    mode: Literal["light", "deep"]
+    status: str
+    entry_id: str
+    question_count: int = 0
+    question: dict[str, Any] | None = None
+    proposal: dict[str, Any] | None = None
+    covered_dimensions: list[str] = Field(default_factory=list)
+    remaining_high_priority_gaps: list[str] = Field(default_factory=list)
+    decision_source: str | None = None
+    error_code: str | None = None
+    action: Any | None = None
+    gap_report: list[dict[str, Any]] | None = None
+    tier: str | None = None