modify: rust 插件
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//! 参考插件（多语言演进规划阶段 1 的参考实现）
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//!
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//! 演示 Rust SDK 的完整能力，按 `--type` 对位不同插件：
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//! - `--type rsdemo`（默认）：独立演示插件，覆盖普通/流式/错误/user_info 全形态
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//! - `--type demo`：与 Python demo 插件同 type 混布对拍（storage 未配置时降级
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//! 返回与 Python 一致的错误语义，验证负载均衡在两实现间透明分发）
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//!
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//! 模型一致性：请求/响应模型由端点 TOML 生成（`generated_models.rs`），
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//! 启动时做指纹校验——TOML 变更而未重新生成模型会告警。
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//!
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//! 用法（项目根目录）:
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//! cargo run --example demo -- --type rsdemo
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//! cargo run --example demo -- --type demo
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// 模型由 gen_models 生成（crate 根，勿手动修改）：
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// cargo run --bin gen_models -- --types rsdemo,demo --out generated_models.rs
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#[path = "../generated_models.rs"]
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mod generated_models;
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use std::sync::Arc;
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use std::time::{SystemTime, UNIX_EPOCH};
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use chongming_worker_rs::gen;
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use chongming_worker_rs::prelude::*;
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use chongming_worker_rs::{HandlerRegistry, ServeOptions};
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use clap::Parser;
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use serde_json::{json, Value};
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use tracing_subscriber::EnvFilter;
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/// 参考插件：Rust 实现 chongming 进程插件（对位 Python SDK 行为）
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#[derive(Parser, Debug)]
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#[command(name = "chongming-worker-rs-demo", about = "Rust 进程插件参考实现")]
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struct Args {
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/// 插件类型（rsdemo / demo）
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#[arg(long, default_value = "rsdemo")]
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r#type: String,
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/// 副本数（覆盖插件配置中的 count）
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#[arg(long)]
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count: Option<usize>,
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/// 全局配置文件路径（读取 [zenoh] 节）
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#[arg(long, default_value = "config.toml")]
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config: String,
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/// 实例 id（多实例全局分摊用；缺省 {hostname}:{pid}）
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#[arg(long)]
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instance: Option<String>,
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}
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fn now_ts() -> f64 {
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SystemTime::now()
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.duration_since(UNIX_EPOCH)
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.map(|d| d.as_secs_f64())
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.unwrap_or(0.0)
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}
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fn deser<T: serde::de::DeserializeOwned>(data: &Value) -> Result<T, String> {
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serde_json::from_value(data.clone()).map_err(|e| format!("参数解析失败: {e}"))
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}
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// ==================== rsdemo 端点（使用 rsdemo 生成模型） ====================
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/// rsdemo.hello：普通 GET 端点（对位 Python demo.hello，强类型请求/响应）
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async fn hello_rsdemo(request: Request) -> Result<Reply, String> {
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let req: generated_models::rsdemo::HelloGetRequest = deser(&request.data)?;
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let resp = generated_models::rsdemo::HelloGetResponse {
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greeting: format!("Hello, {}!", req.name),
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worker_id: Some(request.worker_id),
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timestamp: now_ts(),
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};
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Ok(Reply::Json(serde_json::to_value(&resp).map_err(|e| e.to_string())?))
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}
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/// rsdemo.echo：POST 端点，演示 user_info 透传（网关认证后注入 meta.user_info）
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async fn echo(request: Request) -> Result<Reply, String> {
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let req: generated_models::rsdemo::EchoPostRequest = deser(&request.data)?;
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let resp = generated_models::rsdemo::EchoPostResponse {
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echo: req.msg,
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user_info: request.user_info,
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worker_id: Some(request.worker_id),
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timestamp: now_ts(),
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};
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Ok(Reply::Json(serde_json::to_value(&resp).map_err(|e| e.to_string())?))
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}
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/// rsdemo.stream：流式端点（SSE）。tokens 控制块数；tokens > 50 时中途抛错
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/// 演示 `{"error": ...}` 收尾块（网关收到后终止流）。
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async fn stream_chat(request: Request) -> Result<Reply, String> {
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let req: generated_models::rsdemo::StreamPostRequest = deser(&request.data)?;
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let tokens = req.tokens.clamp(0, 100) as usize;
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let stream = async_stream::stream! {
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for i in 0..tokens {
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if i == 25 && tokens > 50 {
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yield Err("模拟流中异常（第 26 块）".to_string());
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return;
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}
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yield Ok(json!({"index": i, "chunk": format!("chunk-{i}")}));
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tokio::time::sleep(std::time::Duration::from_millis(50)).await;
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}
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};
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Ok(Reply::Stream(Box::pin(stream)))
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}
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/// rsdemo.error：普通端点，恒抛业务异常，演示非流式错误回复格式
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/// （{"result":0.0,"operation":"error","error":...,"worker":...}）
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async fn always_error(_request: Request) -> Result<Reply, String> {
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Err("模拟业务异常（rsdemo.error）".to_string())
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}
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// ==================== demo 端点（使用 demo 生成模型，与 Python 混布对拍） ====================
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/// demo.hello：与 Python workers/demo 对位（强类型模型来自 demo 生成模型）
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async fn hello_demo(request: Request) -> Result<Reply, String> {
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let req: generated_models::demo::HelloGetRequest = deser(&request.data)?;
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let resp = generated_models::demo::HelloGetResponse {
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greeting: format!("Hello, {}!", req.name),
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worker_id: Some(request.worker_id),
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timestamp: now_ts(),
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};
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Ok(Reply::Json(serde_json::to_value(&resp).map_err(|e| e.to_string())?))
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}
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/// storage 未配置降级（演示：Rust 插件无需 Minio 依赖即可对位 demo type）
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async fn storage_not_configured(_request: Request) -> Result<Reply, String> {
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Err("storage 未配置（本 Rust 参考插件未实现 S3/Minio 客户端）".to_string())
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}
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fn main() -> Result<(), String> {
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let args = Args::parse();
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tracing_subscriber::fmt()
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.with_env_filter(
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EnvFilter::try_from_default_env()
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.unwrap_or_else(|_| EnvFilter::new("info")),
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)
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.init();
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// 模型一致性校验：端点 TOML 是唯一事实来源，TOML 变更后须重新运行 gen_models
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check_models_fingerprint(&args.r#type);
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let mut registry = HandlerRegistry::new();
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// ---- rsdemo 独立演示插件 ----
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registry.register("rsdemo.hello", "GET", hello_rsdemo);
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registry.register("rsdemo.echo", "POST", echo);
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registry.register("rsdemo.stream", "POST", stream_chat);
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registry.register("rsdemo.error", "GET", always_error);
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// ---- demo 混布对拍：与 Python demo 插件同 type（同配置、同描述符）----
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registry.register("demo.hello", "GET", hello_demo);
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registry.register("demo.storage.presign_upload", "POST", storage_not_configured);
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registry.register("demo.storage.presign_download", "GET", storage_not_configured);
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registry.register("demo.storage.upload_bytes", "POST", storage_not_configured);
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registry.register("demo.storage.download_bytes", "GET", storage_not_configured);
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let opts = ServeOptions {
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config_path: args.config,
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config_dir: "config/workers".into(),
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count: args.count,
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instance: args.instance,
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};
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tokio::runtime::Builder::new_multi_thread()
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.enable_all()
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.build()
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.map_err(|e| format!("创建 tokio runtime 失败: {e}"))?
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.block_on(chongming_worker_rs::serve::serve(
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&args.r#type,
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Arc::new(registry),
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opts,
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))
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}
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/// TOML ↔ 生成模型一致性校验：指纹不匹配时告警并提示重新生成
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fn check_models_fingerprint(worker_type: &str) {
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let fp = match gen::fingerprint(worker_type, "config/workers") {
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Ok(f) => f,
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Err(e) => {
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tracing::warn!("[{worker_type}] 计算模型指纹失败（跳过一致性校验）: {e}");
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return;
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}
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};
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let expected = match worker_type {
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"rsdemo" => generated_models::rsdemo::FINGERPRINT,
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"demo" => generated_models::demo::FINGERPRINT,
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_ => "",
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};
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if fp != expected {
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tracing::warn!(
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"[{worker_type}] 模型指纹不匹配：端点 TOML 已变更但未重新生成模型。\
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运行: cargo run --bin gen_models -- --types rsdemo,demo --out generated_models.rs"
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);
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} else {
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tracing::info!("[{worker_type}] 模型一致性校验通过（TOML ↔ 生成模型）");
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}
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}
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