refactor: 拆分 gateway 单体为独立 crate,新增 systemd 部署方案

将 gateway 内部的 model-fetch、provider-transport、scheduler-core、
usage-runtime、video-tasks-core 模块提取为独立 crate;重构 gateway
内部模块结构(state/router/cache/data/query 等);移除大量遗留模块
文件;新增 systemd 二进制部署骨架及相关文档;更新前端 usage 相关
API 和组件。
This commit is contained in:
fawney19
2026-04-05 20:23:16 +08:00
parent cbc811f6ce
commit 763ff03a7b
777 changed files with 42654 additions and 21464 deletions
+267
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use std::collections::BTreeMap;
use aether_contracts::{ExecutionPlan, ProxySnapshot, RequestBody};
use aether_provider_transport::auth::{
resolve_local_gemini_auth, resolve_local_openai_chat_auth, resolve_local_standard_auth,
};
use aether_provider_transport::url::build_passthrough_path_url;
use aether_provider_transport::vertex::resolve_local_vertex_api_key_query_auth;
use aether_provider_transport::{
apply_local_header_rules, ensure_upstream_auth_header, resolve_transport_execution_timeouts,
resolve_transport_tls_profile, GatewayProviderTransportSnapshot, LocalResolvedOAuthRequestAuth,
};
use async_trait::async_trait;
use serde_json::json;
use crate::build_models_fetch_url;
#[async_trait]
pub trait ModelFetchTransportRuntime: Send + Sync {
async fn resolve_local_oauth_request_auth(
&self,
transport: &GatewayProviderTransportSnapshot,
) -> Result<Option<LocalResolvedOAuthRequestAuth>, String>;
async fn resolve_model_fetch_proxy(
&self,
transport: &GatewayProviderTransportSnapshot,
) -> Option<ProxySnapshot>;
}
pub async fn build_models_fetch_execution_plan(
runtime: &(impl ModelFetchTransportRuntime + ?Sized),
transport: &GatewayProviderTransportSnapshot,
) -> Result<ExecutionPlan, String> {
let (upstream_url, provider_api_format) = build_models_fetch_url(
&transport.provider.provider_type,
&transport.endpoint.api_format,
&transport.endpoint.base_url,
)
.ok_or_else(|| "Rust models fetch does not support this provider format yet".to_string())?;
let (auth_header_name, auth_header_value) = resolve_models_fetch_auth(runtime, transport)
.await?
.ok_or_else(|| {
"Rust models fetch auth resolution is not supported for this key".to_string()
})?;
let mut headers = BTreeMap::from([(auth_header_name.clone(), auth_header_value.clone())]);
if !apply_local_header_rules(
&mut headers,
transport.endpoint.header_rules.as_ref(),
&[auth_header_name.as_str()],
&json!({}),
None,
) {
return Err("Endpoint header_rules application failed".to_string());
}
ensure_upstream_auth_header(&mut headers, &auth_header_name, &auth_header_value);
Ok(ExecutionPlan {
request_id: format!("req-model-fetch-{}", transport.key.id),
candidate_id: None,
provider_name: Some(transport.provider.name.clone()),
provider_id: transport.provider.id.clone(),
endpoint_id: transport.endpoint.id.clone(),
key_id: transport.key.id.clone(),
method: "GET".to_string(),
url: upstream_url,
headers,
content_type: None,
content_encoding: None,
body: RequestBody {
json_body: None,
body_bytes_b64: None,
body_ref: None,
},
stream: false,
client_api_format: provider_api_format.clone(),
provider_api_format,
model_name: None,
proxy: runtime.resolve_model_fetch_proxy(transport).await,
tls_profile: resolve_transport_tls_profile(transport),
timeouts: resolve_transport_execution_timeouts(transport),
})
}
async fn resolve_models_fetch_auth(
runtime: &(impl ModelFetchTransportRuntime + ?Sized),
transport: &GatewayProviderTransportSnapshot,
) -> Result<Option<(String, String)>, String> {
if transport.key.auth_type.trim().eq_ignore_ascii_case("oauth")
|| transport.key.auth_type.trim().eq_ignore_ascii_case("kiro")
{
return match runtime.resolve_local_oauth_request_auth(transport).await {
Ok(Some(LocalResolvedOAuthRequestAuth::Header { name, value })) => {
Ok(Some((name, value)))
}
Ok(Some(LocalResolvedOAuthRequestAuth::Kiro(_))) => Ok(None),
Ok(None) => Ok(None),
Err(err) => Err(err),
};
}
if let Some(auth) = resolve_local_openai_chat_auth(transport) {
return Ok(Some(auth));
}
if let Some(auth) = resolve_local_standard_auth(transport) {
return Ok(Some(auth));
}
if let Some(auth) = resolve_local_gemini_auth(transport) {
return Ok(Some(auth));
}
if let Some(query_auth) = resolve_local_vertex_api_key_query_auth(transport) {
let url = build_passthrough_path_url(
&transport.endpoint.base_url,
"/v1/publishers/google/models",
Some(&format!("{}={}", query_auth.name, query_auth.value)),
&[],
);
if url.is_some() {
return Ok(None);
}
}
Ok(None)
}
#[cfg(test)]
mod tests {
use aether_contracts::ProxySnapshot;
use aether_provider_transport::snapshot::{
GatewayProviderTransportEndpoint, GatewayProviderTransportKey,
GatewayProviderTransportProvider, GatewayProviderTransportSnapshot,
};
use async_trait::async_trait;
use super::{build_models_fetch_execution_plan, ModelFetchTransportRuntime};
struct TestRuntime {
oauth_auth: Option<aether_provider_transport::LocalResolvedOAuthRequestAuth>,
proxy: Option<ProxySnapshot>,
}
#[async_trait]
impl ModelFetchTransportRuntime for TestRuntime {
async fn resolve_local_oauth_request_auth(
&self,
_transport: &GatewayProviderTransportSnapshot,
) -> Result<Option<aether_provider_transport::LocalResolvedOAuthRequestAuth>, String>
{
Ok(self.oauth_auth.clone())
}
async fn resolve_model_fetch_proxy(
&self,
_transport: &GatewayProviderTransportSnapshot,
) -> Option<ProxySnapshot> {
self.proxy.clone()
}
}
fn sample_transport(api_format: &str, auth_type: &str) -> GatewayProviderTransportSnapshot {
GatewayProviderTransportSnapshot {
provider: GatewayProviderTransportProvider {
id: "provider-1".to_string(),
name: "Provider One".to_string(),
provider_type: "openai".to_string(),
website: None,
is_active: true,
keep_priority_on_conversion: false,
enable_format_conversion: false,
concurrent_limit: None,
max_retries: None,
proxy: None,
request_timeout_secs: Some(30.0),
stream_first_byte_timeout_secs: Some(5.0),
config: None,
},
endpoint: GatewayProviderTransportEndpoint {
id: "endpoint-1".to_string(),
provider_id: "provider-1".to_string(),
api_format: api_format.to_string(),
api_family: None,
endpoint_kind: None,
is_active: true,
base_url: "https://example.com".to_string(),
header_rules: None,
body_rules: None,
max_retries: None,
custom_path: None,
config: None,
format_acceptance_config: None,
proxy: None,
},
key: GatewayProviderTransportKey {
id: "key-1".to_string(),
provider_id: "provider-1".to_string(),
name: "key".to_string(),
auth_type: auth_type.to_string(),
is_active: true,
api_formats: None,
allowed_models: None,
capabilities: None,
rate_multipliers: None,
global_priority_by_format: None,
expires_at_unix_secs: None,
proxy: None,
fingerprint: None,
decrypted_api_key: "secret".to_string(),
decrypted_auth_config: None,
},
}
}
#[tokio::test]
async fn builds_openai_models_fetch_plan_from_transport_snapshot() {
let runtime = TestRuntime {
oauth_auth: None,
proxy: None,
};
let plan = build_models_fetch_execution_plan(
&runtime,
&sample_transport("openai:chat", "api_key"),
)
.await
.expect("plan");
assert_eq!(plan.method, "GET");
assert_eq!(plan.url, "https://example.com/v1/models");
assert_eq!(
plan.headers.get("authorization").map(String::as_str),
Some("Bearer secret")
);
assert_eq!(plan.provider_api_format, "openai:chat");
}
#[tokio::test]
async fn builds_oauth_models_fetch_plan_from_runtime_auth() {
let runtime = TestRuntime {
oauth_auth: Some(
aether_provider_transport::LocalResolvedOAuthRequestAuth::Header {
name: "authorization".to_string(),
value: "Bearer oauth-token".to_string(),
},
),
proxy: Some(ProxySnapshot {
enabled: Some(true),
mode: Some("fixed".to_string()),
node_id: None,
label: None,
url: Some("http://proxy.internal".to_string()),
extra: None,
}),
};
let plan =
build_models_fetch_execution_plan(&runtime, &sample_transport("openai:chat", "oauth"))
.await
.expect("plan");
assert_eq!(
plan.headers.get("authorization").map(String::as_str),
Some("Bearer oauth-token")
);
assert_eq!(
plan.proxy.as_ref().and_then(|proxy| proxy.url.as_deref()),
Some("http://proxy.internal")
);
}
}