Struct FocusPoint 

pub struct FocusPoint {

    pub id: String,
    pub topic: String,
    pub keywords: Vec<String>,
    pub entities: Vec<String>,
    pub core_question: Option<String>,
    pub status: FocusStatus,
    pub created_at: DateTime<Utc>,
    pub last_active: DateTime<Utc>,
    pub importance: f32,
    pub message_range: MessageRange,
    pub sub_foci: Vec<String>,
    pub semantic_summary: Option<String>,
    pub related_files: Vec<PathBuf>,
    pub confidence: f32,
    pub dynamic_switch_threshold: f32,
    pub focus_type: FocusType,
    pub feedback_history: Vec<FocusFeedback>,
}

聚焦点 - 由 AI 动态提取的核心关注点

Fields

id: String

聚焦点唯一标识

topic: String

主题描述（AI 生成） 例如: “优化 Rust 代码性能” / “修复数据库连接问题”

keywords: Vec<String>

相关关键词（AI 从对话中提取） 例如: [“performance”, “rust”, “optimization”, “benchmark”]

entities: Vec<String>

相关实体（文件、函数、模块等） 例如: [“src/main.rs”, “process_data()”, “DatabasePool”]

core_question: Option<String>

核心问题/任务 例如: “如何减少内存占用？” / “为什么数据库连接超时？”

status: FocusStatus

当前状态

created_at: DateTime<Utc>

创建时间

last_active: DateTime<Utc>

最后活跃时间

importance: f32

重要性分数（0.0-1.0）

message_range: MessageRange

消息索引范围（该聚焦点涉及的对话范围）

sub_foci: Vec<String>

子聚焦点（任务分解）

semantic_summary: Option<String>

AI 生成的焦点语义摘要（简洁描述焦点核心内容）

related_files: Vec<PathBuf>

相关文件路径（通过代码分析提取）

confidence: f32

置信度（AI 判断的焦点准确性，0.0-1.0）

dynamic_switch_threshold: f32

动态切换阈值（根据历史反馈自适应调整）

focus_type: FocusType

焦点类型分类

feedback_history: Vec<FocusFeedback>

用户反馈历史（用于自适应学习）

Implementations

impl FocusPoint

pub fn new( id: String, topic: String, keywords: Vec<String>, entities: Vec<String>, core_question: Option<String>, message_index: usize, ) -> Self

创建基础聚焦点（手动创建）

pub fn new_with_ai( id: String, topic: String, keywords: Vec<String>, entities: Vec<String>, core_question: Option<String>, semantic_summary: Option<String>, related_files: Vec<PathBuf>, confidence: f32, focus_type: FocusType, message_index: usize, ) -> Self

创建智能聚焦点（AI 提取）

pub fn adjust_threshold_from_feedback(&mut self)

根据反馈自适应调整阈值

pub fn add_feedback( &mut self, feedback_type: FocusFeedbackType, rating: Option<u8>, message_index: usize, )

添加反馈

pub fn should_switch(&self, relevance_score: f32) -> bool

判断是否应该切换焦点

pub fn with_importance(self, importance: f32) -> Self

Builder method: set importance

pub fn with_confidence(self, confidence: f32) -> Self

Builder method: set confidence

pub fn with_type(self, focus_type: FocusType) -> Self

Builder method: set focus type

pub fn effective_importance(&self) -> f32

计算有效重要性（考虑时间衰减）

衰减公式：importance * exp(-elapsed_minutes / half_life) 半衰期：30分钟（默认）

pub fn effective_confidence(&self) -> f32

计算有效置信度（考虑反馈历史）

pub fn wake_up(&mut self)

唤醒焦点（更新活跃时间并提升重要性）

pub fn update_message_range(&mut self, message_index: usize)

更新消息范围

pub fn add_keywords(&mut self, new_keywords: &[String])

添加关键词

pub fn add_entities(&mut self, new_entities: &[String])

添加实体

Trait Implementations

impl Clone for FocusPoint

fn clone(&self) -> FocusPoint

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FocusPoint

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FocusPoint

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for FocusPoint

fn eq(&self, other: &FocusPoint) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for FocusPoint

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for FocusPoint