Reqwest
is a popular HTTP client for Rust. Caching responses with Reqwest itself isn't built-in, but you can implement caching by using a combination of Reqwest for making HTTP requests and a caching library or your own caching logic.
Here's a simple example using an in-memory cache with a HashMap. For a more robust solution, you might consider using a dedicated caching crate like cached
.
First, add reqwest
and serde
to your Cargo.toml
for making HTTP requests and serializing/deserializing JSON:
[dependencies]
reqwest = { version = "0.11", features = ["json"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
Here's a simple example of how you might implement caching for JSON responses:
use reqwest::Error;
use serde_json::Value;
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
// Define a struct that will hold the cache
struct Cache {
responses: Mutex<HashMap<String, Value>>,
}
impl Cache {
fn new() -> Self {
Cache {
responses: Mutex::new(HashMap::new()),
}
}
async fn get_response(&self, url: &str) -> Result<Value, Error> {
// Check if the response is cached
if let Some(response) = self.responses.lock().unwrap().get(url) {
return Ok(response.clone());
}
// If not cached, perform the HTTP request
let response = reqwest::get(url).await?.json().await?;
// Cache the response
self.responses.lock().unwrap().insert(url.to_string(), response.clone());
Ok(response)
}
}
#[tokio::main]
async fn main() -> Result<(), Error> {
let cache = Arc::new(Cache::new());
let url = "https://api.example.com/data";
// First request - will be fetched and cached
let response = cache.get_response(url).await?;
println!("Response: {:?}", response);
// Second request - will be retrieved from the cache
let response = cache.get_response(url).await?;
println!("Response: {:?}", response);
Ok(())
}
In this example, Cache
is a simple struct that holds a Mutex<HashMap<String, Value>>
to safely share and mutate the cache between threads. The get_response
method checks if a cached response exists for the given URL, and if not, it fetches the response, caches it, and then returns it.
Please note that this is a very basic implementation. In a production scenario, you would want to consider:
- Cache expiration and invalidation.
- Handling HTTP response codes appropriately (e.g., not caching 4xx or 5xx responses).
- Disk-based or distributed caching for persistence and scalability.
- Asynchronous locking mechanisms to avoid blocking the executor thread.
- Error handling improvements.
For more sophisticated caching strategies, you might integrate with a dedicated caching solution or use a service like Redis for distributed caching, along with an appropriate Rust client library.