rpcnet 0.1.0

RPC library based on QUIC+TLS encryption
Documentation
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                    <main>
                        <h1 id="streaming-walkthrough"><a class="header" href="#streaming-walkthrough">Streaming Walkthrough</a></h1>
<p>This end-to-end example builds a telemetry service that exercises every
streaming mode RpcNet offers: bidirectional chat, server streaming updates, and
client streaming uploads. Follow along to scaffold the project, implement the
handlers, and drive the flows from a client binary.</p>
<h2 id="step-0-prerequisites"><a class="header" href="#step-0-prerequisites">Step 0: Prerequisites</a></h2>
<ul>
<li>Rust 1.75+ (<code>rustup show</code> to confirm)</li>
<li><code>cargo</code> on your <code>PATH</code></li>
<li>macOS or Linux (TLS support is bundled via <code>s2n-quic</code>)</li>
</ul>
<h2 id="step-1-create-the-project-layout"><a class="header" href="#step-1-create-the-project-layout">Step 1: Create the project layout</a></h2>
<pre><code class="language-bash">cargo new telemetry-streams --bin
cd telemetry-streams
mkdir -p certs src/bin
rm src/main.rs  # we'll rely on explicit binaries instead of the default main
</code></pre>
<p>The example uses two binaries: <code>src/bin/server.rs</code> and <code>src/bin/client.rs</code>.</p>
<h2 id="step-2-declare-dependencies"><a class="header" href="#step-2-declare-dependencies">Step 2: Declare dependencies</a></h2>
<p>Edit <code>Cargo.toml</code> to pull in RpcNet and helper crates:</p>
<pre><code class="language-toml">[package]
name = "telemetry-streams"
version = "0.1.0"
edition = "2021"

[dependencies]
rpcnet = "0.2"
serde = { version = "1", features = ["derive"] }
bincode = "1.3"
async-stream = "0.3"
futures = "0.3"
tokio = { version = "1", features = ["rt-multi-thread", "macros", "time"] }
</code></pre>
<ul>
<li><code>rpcnet</code> provides the client/server runtime.</li>
<li><code>async-stream</code> and <code>futures</code> help produce response streams on the server.</li>
<li><code>serde</code>/<code>bincode</code> handle payload serialization.</li>
<li>Tokio is required because RpcNet is async-first.</li>
</ul>
<h2 id="step-3-generate-development-certificates"><a class="header" href="#step-3-generate-development-certificates">Step 3: Generate development certificates</a></h2>
<p>RpcNet requires TLS material for QUIC. Create a self-signed pair for local
experiments:</p>
<pre><code class="language-bash">openssl req -x509 -newkey rsa:4096 \
  -keyout certs/server-key.pem \
  -out certs/server-cert.pem \
  -days 365 -nodes \
  -subj "/CN=localhost"
</code></pre>
<p>The client reuses the public certificate file to trust the server.</p>
<h2 id="step-4-define-shared-data-types"><a class="header" href="#step-4-define-shared-data-types">Step 4: Define shared data types</a></h2>
<p>Expose a library module that both binaries can import. Create <code>src/lib.rs</code>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>// src/lib.rs
pub mod telemetry;
<span class="boring">}</span></code></pre></pre>
<p>Now add the telemetry definitions in <code>src/telemetry.rs</code>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>// src/telemetry.rs
use rpcnet::RpcError;
use serde::{Deserialize, Serialize};

#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct MetricReading {
    pub sensor: String,
    pub value: f64,
}

#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct LiveUpdate {
    pub sensor: String,
    pub rolling_avg: f64,
}

#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct ChatMessage {
    pub from: String,
    pub body: String,
}

#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct Ack {
    pub accepted: usize,
}

pub fn encode&lt;T: Serialize&gt;(value: &amp;T) -&gt; Result&lt;Vec&lt;u8&gt;, RpcError&gt; {
    Ok(bincode::serialize(value)?)
}

pub fn decode&lt;T: for&lt;'de&gt; Deserialize&lt;'de&gt;&gt;(bytes: &amp;[u8]) -&gt; Result&lt;T, RpcError&gt; {
    Ok(bincode::deserialize(bytes)?)
}
<span class="boring">}</span></code></pre></pre>
<p>These helpers convert structures to and from the <code>Vec&lt;u8&gt;</code> payloads that
RpcNet transports.</p>
<h2 id="step-5-implement-the-streaming-server"><a class="header" href="#step-5-implement-the-streaming-server">Step 5: Implement the streaming server</a></h2>
<p>Create <code>src/bin/server.rs</code> with three handlers—one per streaming pattern:</p>
<pre><pre class="playground"><code class="language-rust">// src/bin/server.rs
use async_stream::stream;
use futures::StreamExt;
use rpcnet::{RpcConfig, RpcServer};
use telemetry_streams::telemetry::{self, Ack, ChatMessage, LiveUpdate, MetricReading};
use tokio::time::{sleep, Duration};

#[tokio::main]
async fn main() -&gt; Result&lt;(), Box&lt;dyn std::error::Error&gt;&gt; {
    let config = RpcConfig::new("certs/server-cert.pem", "127.0.0.1:9000")
        .with_key_path("certs/server-key.pem")
        .with_server_name("localhost");

    let mut server = RpcServer::new(config);

    // Bidirectional chat: echo each message with a server tag.
    server
        .register_streaming("chat", |mut inbound| async move {
            stream! {
                while let Some(frame) = inbound.next().await {
                    let msg: ChatMessage = telemetry::decode(&amp;frame)?;
                    let reply = ChatMessage {
                        from: "server".into(),
                        body: format!("ack: {}", msg.body),
                    };
                    yield telemetry::encode(&amp;reply);
                }
            }
        })
        .await;

    // Server streaming: emit rolling averages for a requested sensor.
    server
        .register_streaming("subscribe_metrics", |mut inbound| async move {
            stream! {
                if let Some(frame) = inbound.next().await {
                    let req: MetricReading = telemetry::decode(&amp;frame)?;
                    let mut window = vec![req.value];
                    for step in 1..=5 {
                        sleep(Duration::from_millis(500)).await;
                        window.push(req.value + step as f64);
                        let avg = window.iter().copied().sum::&lt;f64&gt;() / window.len() as f64;
                        let update = LiveUpdate { sensor: req.sensor.clone(), rolling_avg: avg };
                        yield telemetry::encode(&amp;update);
                    }
                }
            }
        })
        .await;

    // Client streaming: collect readings and acknowledge how many we processed.
    server
        .register_streaming("upload_batch", |mut inbound| async move {
            stream! {
                let mut readings: Vec&lt;MetricReading&gt; = Vec::new();
                while let Some(frame) = inbound.next().await {
                    let reading: MetricReading = telemetry::decode(&amp;frame)?;
                    readings.push(reading);
                }
                let ack = Ack { accepted: readings.len() };
                yield telemetry::encode(&amp;ack);
            }
        })
        .await;

    let quic_server = server.bind()?;
    println!("Telemetry server listening on 127.0.0.1:9000");
    server.start(quic_server).await?;
    Ok(())
}</code></pre></pre>
<p>Key points:</p>
<ul>
<li><code>register_streaming</code> receives a stream of request frames (<code>Vec&lt;u8&gt;</code>) and must
return a stream of <code>Result&lt;Vec&lt;u8&gt;, RpcError&gt;</code> responses.</li>
<li>The bidirectional handler echoes every inbound payload.</li>
<li>The server-streaming handler reads a single subscription request and then
pushes periodic updates without further client input.</li>
<li>The client-streaming handler drains all incoming frames before returning one
acknowledgement.</li>
</ul>
<h2 id="step-6-implement-the-client"><a class="header" href="#step-6-implement-the-client">Step 6: Implement the client</a></h2>
<p>Create <code>src/bin/client.rs</code> to exercise each streaming helper:</p>
<pre><pre class="playground"><code class="language-rust">// src/bin/client.rs
use futures::{stream, StreamExt};
use rpcnet::{RpcClient, RpcConfig, RpcError};
use telemetry_streams::telemetry::{self, Ack, ChatMessage, LiveUpdate, MetricReading};

#[tokio::main]
async fn main() -&gt; Result&lt;(), Box&lt;dyn std::error::Error&gt;&gt; {
    let config = RpcConfig::new("certs/server-cert.pem", "127.0.0.1:0")
        .with_server_name("localhost");

    let client = RpcClient::connect("127.0.0.1:9000".parse()?, config).await?;

    chat_demo(&amp;client).await?;
    server_stream_demo(&amp;client).await?;
    client_stream_demo(&amp;client).await?;

    Ok(())
}

async fn chat_demo(client: &amp;RpcClient) -&gt; Result&lt;(), RpcError&gt; {
    println!("\n--- Bidirectional chat ---");
    let messages = vec![
        ChatMessage { from: "operator".into(), body: "ping".into() },
        ChatMessage { from: "operator".into(), body: "status?".into() },
    ];
    let outbound_frames: Vec&lt;Vec&lt;u8&gt;&gt; = messages
        .into_iter()
        .map(|msg| telemetry::encode(&amp;msg).expect("serialize chat message"))
        .collect();
    let outbound = stream::iter(outbound_frames);
    let mut inbound = client.call_streaming("chat", outbound).await?;
    while let Some(frame) = inbound.next().await {
        let bytes = frame?;
        let reply: ChatMessage = telemetry::decode(&amp;bytes)?;
        println!("reply: {}", reply.body);
    }
    Ok(())
}

async fn server_stream_demo(client: &amp;RpcClient) -&gt; Result&lt;(), RpcError&gt; {
    println!("\n--- Server streaming ---");
    let request = telemetry::encode(&amp;MetricReading { sensor: "temp".into(), value: 21.0 })?;
    let mut updates = client
        .call_server_streaming("subscribe_metrics", request)
        .await?;
    while let Some(frame) = updates.next().await {
        let bytes = frame?;
        let update: LiveUpdate = telemetry::decode(&amp;bytes)?;
        println!("rolling avg: {:.2}", update.rolling_avg);
    }
    Ok(())
}

async fn client_stream_demo(client: &amp;RpcClient) -&gt; Result&lt;(), RpcError&gt; {
    println!("\n--- Client streaming ---");
    let readings: Vec&lt;Vec&lt;u8&gt;&gt; = vec![
        MetricReading { sensor: "temp".into(), value: 21.0 },
        MetricReading { sensor: "temp".into(), value: 21.5 },
        MetricReading { sensor: "temp".into(), value: 22.0 },
    ]
    .into_iter()
    .map(|reading| telemetry::encode(&amp;reading).expect("serialize reading"))
    .collect();
    let outbound = stream::iter(readings);
    let ack_frame = client
        .call_client_streaming("upload_batch", outbound)
        .await?;
    let ack: Ack = telemetry::decode(&amp;ack_frame)?;
    println!("server accepted {} readings", ack.accepted);
    Ok(())
}</code></pre></pre>
<p>The client demonstrates:</p>
<ul>
<li><code>call_streaming</code> for true bidirectional messaging.</li>
<li><code>call_server_streaming</code> when only the server produces a stream of frames.</li>
<li><code>call_client_streaming</code> to upload many frames and receive one response.</li>
</ul>
<h2 id="step-7-run-the-scenario"><a class="header" href="#step-7-run-the-scenario">Step 7: Run the scenario</a></h2>
<p>Terminal 1 – start the server:</p>
<pre><code class="language-bash">cargo run --bin server
</code></pre>
<p>Terminal 2 – launch the client:</p>
<pre><code class="language-bash">cargo run --bin client
</code></pre>
<p>Expected output (trimmed for brevity):</p>
<pre><code>--- Bidirectional chat ---
reply: ack: ping
reply: ack: status?

--- Server streaming ---
rolling avg: 21.00
rolling avg: 21.50
...

--- Client streaming ---
server accepted 3 readings
</code></pre>
<h2 id="where-to-go-next"><a class="header" href="#where-to-go-next">Where to go next</a></h2>
<ul>
<li>Revisit the <a href="concepts.html#streaming-patterns">Concepts</a> chapter for API
reference material.</li>
<li>Combine streaming RPCs with code-generated unary services from the
<a href="getting-started.html">Getting Started</a> tutorial.</li>
<li>Layer authentication, backpressure, or persistence around these handlers to
match your production needs.</li>
</ul>

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