Crates.io | lrcall-macro |
lib.rs | lrcall-macro |
version | 0.1.5 |
source | src |
created_at | 2024-08-19 07:07:44.49742 |
updated_at | 2024-08-20 16:22:08.559785 |
description | lrcall-macro is Proc macros for lrcall. |
homepage | https://github.com/andeya/lrcall |
repository | https://github.com/andeya/lrcall |
max_upload_size | |
id | 1343548 |
size | 71,138 |
lrcall
is a Rust procedure call framework that is compatible with local and remote procedure calls.
And lrcall focuses on ease of use. Defining a
service can be done in just a few lines of code, and most of the boilerplate of
writing a server is taken care of for you.
Secondary development based on google/tarpc
"LPC" stands for "Local Procedure Call," a function call where the work of producing the return value is being done locally.
"RPC" stands for "Remote Procedure Call," a function call where the work of producing the return value is being done somewhere else. When an rpc function is invoked, behind the scenes the function contacts some other process somewhere and asks them to evaluate the function instead. The original function then returns the value produced by the other process.
Stream<Item = Request> + Sink<Response>
can be used as a transport to connect the client and server.Send + 'static
optional: if the transport doesn't require it, neither does lrcall!serde1
Cargo feature will make service requests and responses Serialize + Deserialize
. It's entirely optional, though: in-memory transports can be used, as
well, so the price of serialization doesn't have to be paid when it's not needed.Add to your Cargo.toml
dependencies:
lrcall = "0.1"
The lrcall::service
attribute expands to a collection of items that form an rpc service.
These generated types make it easy and ergonomic to write servers with less boilerplate.
Simply implement the generated service trait, and you're off to the races!
This example uses tokio, so add the following dependencies to
your Cargo.toml
:
anyhow = "1.0"
futures = "0.3"
lrcall = { version = "0.1", features = ["tokio1"] }
tokio = { version = "1.0", features = ["macros"] }
In the following example, we use an in-process channel for communication between client and server. In real code, you will likely communicate over the network. For a more real-world example, see lrcall-example.
First, let's set up the dependencies and service definition.
# extern crate futures;
use futures::{
prelude::*,
};
use lrcall::{
client, context,
server::{self, incoming::Incoming, Channel},
};
// This is the service definition. It looks a lot like a trait definition.
// It defines one RPC, hello, which takes one arg, name, and returns a String.
#[lrcall::service]
trait World {
/// Returns a greeting for name.
async fn hello(name: String) -> String;
}
This service definition generates a trait called World
. Next we need to
implement it for our Server struct.
# extern crate futures;
# use futures::{
# prelude::*,
# };
# use lrcall::{
# client, context,
# server::{self, incoming::Incoming},
# };
# // This is the service definition. It looks a lot like a trait definition.
# // It defines one RPC, hello, which takes one arg, name, and returns a String.
# #[lrcall::service]
# trait World {
# /// Returns a greeting for name.
# async fn hello(name: String) -> String;
# }
// This is the type that implements the generated World trait. It is the business logic
// and is used to start the server.
#[derive(Clone)]
struct HelloService;
impl World for HelloService {
// Each defined rpc generates an async fn that serves the RPC
async fn hello(self, _: context::Context, name: String) -> String {
format!("Hello, {name}!")
}
}
Lastly let's write our main
that will start the server. While this example uses an
in-process channel, lrcall also ships a generic [serde_transport
]
behind the serde-transport
feature, with additional TCP functionality
available behind the tcp
feature.
# extern crate futures;
# use futures::{
# prelude::*,
# };
# use lrcall::{
# client, context,
# server::{self, Channel},
# };
# // This is the service definition. It looks a lot like a trait definition.
# // It defines one RPC, hello, which takes one arg, name, and returns a String.
# #[lrcall::service]
# trait World {
# /// Returns a greeting for name.
# async fn hello(name: String) -> String;
# }
# // This is the type that implements the generated World trait. It is the business logic
# // and is used to start the server.
# #[derive(Clone)]
# struct HelloService;
# impl World for HelloService {
// Each defined rpc generates an async fn that serves the RPC
# async fn hello(self, _: context::Context, name: String) -> String {
# format!("Hello, {name}!")
# }
# }
# #[cfg(not(feature = "tokio1"))]
# fn main() {}
# #[cfg(feature = "tokio1")]
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let (client_transport, server_transport) = lrcall::transport::channel::unbounded();
let server = server::BaseChannel::with_defaults(server_transport);
tokio::spawn(
server.execute(HelloService.serve())
// Handle all requests concurrently.
.for_each(|response| async move {
tokio::spawn(response);
}));
// WorldClient is generated by the #[lrcall::service] attribute. It has a constructor `new`
// that takes a config and any Transport as input.
let mut client = WorldClient::<HelloService>::rpc_client(WorldChannel::spawn(client::Config::default(), client_transport));
// The client has an RPC method for each RPC defined in the annotated trait. It takes the same
// args as defined, with the addition of a Context, which is always the first arg. The Context
// specifies a deadline and trace information which can be helpful in debugging requests.
let hello = client.hello(context::rpc_current(), "Andeya".to_string()).await?;
println!("{hello}");
Ok(())
}