Rust调用 DeepSeek API

Rust 实现类似 DeepSeek 的搜索工具

使用 Rust 构建一个高效、高性能的搜索工具需要结合异步 I/O、索引结构和查询优化。以下是一个简化实现的框架：

核心组件设计

索引结构

use std::collections::{HashMap, HashSet};
use tantivy::schema::{Schema, TEXT, STORED};
use tantivy::{doc, Index};

struct TextIndex {
    schema: Schema,
    index: Index,
    doc_store: HashMap<u64, String>,
}

查询处理器

async fn query_index(
    index: &TextIndex,
    query: &str,
    filters: Option<Vec<Filter>>
) -> Result<Vec<SearchResult>, Error> {
    let searcher = index.reader.searcher();
    let query_parser = QueryParser::for_index(&index, vec![index.schema.get_field("content")?]);
    let query = query_parser.parse_query(query)?;
    let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
    // ...结果处理逻辑
}

性能优化技术

异步任务调度

use tokio::sync::mpsc;
use rayon::prelude::*;

async fn parallel_query(
    queries: Vec<String>,
    index: Arc<TextIndex>
) -> Vec<Vec<SearchResult>> {
    queries.par_iter().map(|q| {
        tokio::runtime::Handle::current().block_on(query_index(&index, q))
    }).collect()
}

内存管理

struct MemoryPool {
    buffers: Vec<Vec<u8>>,
    current_size: usize,
    max_size: usize,
}

impl MemoryPool {
    fn acquire(&mut self, size: usize) -> Option<Vec<u8>> {
        if self.current_size + size <= self.max_size {
            let buf = self.buffers.pop().unwrap_or_else(|| vec![0; size]);
            self.current_size += size;
            Some(buf)
        } else {
            None
        }
    }
}

完整工作流程

1. 初始化索引构建器

fn build_index(documents: Vec<Document>) -> TextIndex {
    let mut schema_builder = Schema::builder();
    let content = schema_builder.add_text_field("content", TEXT | STORED);
    let schema = schema_builder.build();
    let index = Index::create_in_ram(schema.clone());
    // ...填充索引逻辑
}

1. 启动网络服务

use warp::Filter;

async fn run_server(index: Arc<TextIndex>) {
    let search = warp::path("search")
        .and(warp::query())
        .and_then(move |params| handle_search(params, index.clone()));
    warp::serve(search).run(([127, 0, 0, 1], 3030)).await;
}

1. 结果排序算法