deepwiki-rs 0.9.7

deepwiki-rs(also known as Litho) is a high-performance automatic generation engine for C4 architecture documentation, developed using Rust. It can intelligently analyze project structures, identify core components, parse dependency relationships, and leverage large language models (LLMs) to automatically generate professional architecture documentation.
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use anyhow::Result;

use crate::generator::research::memory::MemoryScope;
use crate::generator::research::types::{AgentType, DomainModulesReport};
use crate::generator::{
    context::GeneratorContext,
    step_forward_agent::{
        AgentDataConfig, DataSource, FormatterConfig, LLMCallMode, PromptTemplate, StepForwardAgent,
    },
};

/// 领域划分与顶层抽象模块研究员 - 识别High-Level-System领域架构与抽象模块，以及其内部关联关系。
#[derive(Default)]
pub struct DomainModulesDetector;

impl StepForwardAgent for DomainModulesDetector {
    type Output = DomainModulesReport;

    fn agent_type(&self) -> String {
        AgentType::DomainModulesDetector.to_string()
    }

    fn memory_scope_key(&self) -> String {
        MemoryScope::STUDIES_RESEARCH.to_string()
    }

    fn data_config(&self) -> AgentDataConfig {
        AgentDataConfig {
            required_sources: vec![
                DataSource::ResearchResult(AgentType::SystemContextResearcher.to_string()),
                DataSource::DEPENDENCY_ANALYSIS,
                DataSource::CODE_INSIGHTS,
            ],
            optional_sources: vec![DataSource::PROJECT_STRUCTURE],
        }
    }

    fn prompt_template(&self) -> PromptTemplate {
        PromptTemplate {
            system_prompt: r#"你是一个专业的软件架构分析师，专注于根据提供的信息和调研材料，识别项目中的领域架构与模块"#
                .to_string(),

            opening_instruction: "基于以下调研材料，进行高层次架构分析：".to_string(),

            closing_instruction: r#"
## 分析要求：
- 采用自顶向下的分析方法，先领域后模块
- 领域划分要体现功能价值，不是技术实现
- 保持合理的抽象层次，避免过度细化"#
                .to_string(),

            llm_call_mode: LLMCallMode::Extract,
            formatter_config: FormatterConfig {
                code_insights_limit: 100,
                include_source_code: false,
                dependency_limit: 1000,
                readme_truncate_length: None,
            },
        }
    }

    /// 后处理 - 存储分析结果到内存
    fn post_process(
        &self,
        result: &DomainModulesReport,
        _context: &GeneratorContext,
    ) -> Result<()> {
        // 简化版存储逻辑
        println!("✅ 领域架构分析完成:");
        println!("   - 识别领域模块: {} 个", result.domain_modules.len());

        let total_sub_modules: usize = result
            .domain_modules
            .iter()
            .map(|d| d.sub_modules.len())
            .sum();
        println!("   - 子模块总数: {} 个", total_sub_modules);
        println!("   - 领域关系: {} 个", result.domain_relations.len());
        println!("   - 执行流程: {} 个", result.business_flows.len());
        println!("   - 置信度: {:.1}/10", result.confidence_score);

        Ok(())
    }
}