AI 乱写代码怎么破？使用 Context7 MCP Server 让 AI 写出靠谱代码!

error[E0308]: mismatched types    --> src/main.rs:133:44     |133  |         .refresh(IndicesCreateParts::Index(&[index_name]))     |                  ------------------------- ^^^^^^^^^^^^^ expected `&str`, found `&[&str; 1]`     |                  |     |                  arguments to this enum variant are incorrect     |     = note: expected reference `&str`                found reference `&[&str; 1]`note: tuple variant defined here    --> /Users/seven/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/elasticsearch-8.5.0-alpha.1/src/indices.rs:1022:5     |1022 |     Index(&'b str),     |     ^^^^^
error[E0308]: mismatched types    --> src/main.rs:133:18     |133  |         .refresh(IndicesCreateParts::Index(&[index_name]))     |          ------- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `IndicesRefreshParts<'_>`, found `IndicesCreateParts<'_>`     |          |     |          arguments to this method are incorrect     |note: method defined here    --> /Users/seven/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/elasticsearch-8.5.0-alpha.1/src/indices.rs:9654:12     |9654 |     pub fn refresh<'b>(&'a self, parts: IndicesRefreshParts<'b>) -> IndicesRefresh<'a, 'b, ()> {     |            ^^^^^^^
error[E0308]: mismatched types   --> src/main.rs:48:51    |48  |     let conn_pool = SingleNodeConnectionPool::new(addr);    |                     ----------------------------- ^^^^ expected `Url`, found `SocketAddr`    |                     |    |                     arguments to this function are incorrect    |

先使用 context7 mcp server 查询 elasticsearch-rs 的代码文档，然后使用 elasticsearch-rs 编写代码和 Elasticsearch 进行交互，首先创建一个索引，然后写入几条文档，再查询这几条文档

use elasticsearch::{    Elasticsearch,    indices::IndicesCreateParts,    SearchParts,    IndexParts,    http::transport::Transport,};use serde::{Deserialize, Serialize};use serde_json::{json, Value};
#[derive(Debug, Serialize, Deserialize)]struct Document {    id: u32,    title: String,    content: String,}
#[tokio::main]async fn main() -> Result<(), Box<dyn std::error::Error>> {    println!("Connecting to Elasticsearch...");    println!("Note: This example requires Elasticsearch to be running on http://localhost:9200");    println!("If Elasticsearch is not running, you will see connection errors.");
    // Create a client connected to localhost using HTTP    let transport = Transport::single_node("http://localhost:9200")?;    let client = Elasticsearch::new(transport);
    // Index name    let index_name = "test_index";
    // Create an index with mapping    println!("Creating index '{}'...", index_name);    let _response = client        .indices()        .create(IndicesCreateParts::Index(index_name))        .body(json!({            "mappings": {                "properties": {                    "id": { "type": "integer" },                    "title": { "type": "text" },                    "content": { "type": "text" }                }            }        }))        .send()        .await?;
    println!("Index creation successful!");
    // Create some documents    let documents = vec![        Document {            id: 1,            title: "First document".to_string(),            content: "This is the content of the first document".to_string(),        },        Document {            id: 2,            title: "Second document".to_string(),            content: "This is the content of the second document".to_string(),        },        Document {            id: 3,            title: "Third document".to_string(),            content: "This is the content of the third document".to_string(),        },    ];
    // Index the documents    println!("Indexing documents...");    for doc in &documents {        // Create document ID        let doc_id = doc.id.to_string();
        // Index with document ID in the URL path        let _response = client            .index(IndexParts::IndexId(index_name, &doc_id))            .body(doc)            .send()            .await?;
        println!("Document indexed with ID: {}", doc.id);    }
    // Refresh the index to make the documents searchable immediately    client        .indices()        .refresh(elasticsearch::indices::IndicesRefreshParts::Index(&[index_name]))        .send()        .await?;
    // Search for documents    println!("Searching for documents...");    let search_response = client        .search(SearchParts::Index(&[index_name]))        .body(json!({            "query": {                "match_all": {}            }        }))        .send()        .await?;
    // Process the search response    let search_body = search_response.json::<Value>().await?;    let hits = search_body["hits"]["hits"].as_array().unwrap();
    println!("Found {} documents:", hits.len());    for hit in hits {        println!("ID: {}, Source: {}",            hit["_id"].as_str().unwrap(),            hit["_source"]        );    }
    // Search for specific content    println!("\nSearching for documents with 'first' in content...");    let search_response = client        .search(SearchParts::Index(&[index_name]))        .body(json!({            "query": {                "match": {                    "content": "first"                }            }        }))        .send()        .await?;
    // Process the search response    let search_body = search_response.json::<Value>().await?;    let hits = search_body["hits"]["hits"].as_array().unwrap();
    println!("Found {} documents with 'first' in content:", hits.len());    for hit in hits {        println!("ID: {}, Source: {}",            hit["_id"].as_str().unwrap(),            hit["_source"]        );    }
    println!("Done!");    Ok(())}

 cargo run                  Finished `dev` profile [unoptimized + debuginfo] target(s) in 3.70s     Running `target/debug/elasticsearch-example`Connecting to Elasticsearch...Note: This example requires Elasticsearch to be running on http://localhost:9200If Elasticsearch is not running, you will see connection errors.Creating index 'test_index'...Index creation successful!Indexing documents...Document indexed with ID: 1Document indexed with ID: 2Document indexed with ID: 3Searching for documents...Found 3 documents:ID: 1, Source: {"content":"This is the content of the first document","id":1,"title":"First document"}ID: 2, Source: {"content":"This is the content of the second document","id":2,"title":"Second document"}ID: 3, Source: {"content":"This is the content of the third document","id":3,"title":"Third document"}
Searching for documents with 'first' in content...Found 1 documents with 'first' in content:ID: 1, Source: {"content":"This is the content of the first document","id":1,"title":"First document"}Done!