Files
cc-switch/src-tauri/src/proxy/response_processor.rs
T
Jason Young a268127f1f Fix/Resolve panic issues in proxy-related code (#560)
* fix(proxy): change default port from 5000 to 15721

Port 5000 conflicts with AirPlay Receiver on macOS 12+.
Also adds error handling for proxy toggle and i18n placeholder updates.

* fix(proxy): replace unwrap/expect with graceful error handling

- Handle HTTP client initialization failure with no_proxy fallback
- Fix potential panic on Unicode slicing in API key preview
- Add proper error handling for response body builder
- Handle edge case where SystemTime is before UNIX_EPOCH

* fix(proxy): handle UTF-8 char boundary when truncating request body log

Rust strings are UTF-8 encoded, slicing at a fixed byte index may cut
in the middle of a multi-byte character (e.g., Chinese, emoji), causing
a panic. Use is_char_boundary() to find the nearest safe cut point.

* fix(proxy): improve robustness and prevent panics

- Add reqwest socks feature to support SOCKS proxy environments
- Fix UTF-8 safety in masked_key/masked_access_token (use chars() instead of byte slicing)
- Fix UTF-8 boundary check in usage_script HTTP response truncation
- Add defensive checks for JSON operations in proxy service
- Remove verbose debug logs that could trigger panic-prone code paths
2026-01-09 13:09:19 +08:00

533 lines
17 KiB
Rust

//! 响应处理器模块
//!
//! 统一处理流式和非流式 API 响应
use super::{
handler_config::UsageParserConfig,
handler_context::{RequestContext, StreamingTimeoutConfig},
server::ProxyState,
usage::parser::TokenUsage,
ProxyError,
};
use axum::response::{IntoResponse, Response};
use bytes::Bytes;
use futures::stream::{Stream, StreamExt};
use rust_decimal::Decimal;
use serde_json::Value;
use std::{
str::FromStr,
sync::{
atomic::{AtomicBool, Ordering},
Arc,
},
time::Duration,
};
use tokio::sync::Mutex;
// ============================================================================
// 公共接口
// ============================================================================
/// 检测响应是否为 SSE 流式响应
#[inline]
pub fn is_sse_response(response: &reqwest::Response) -> bool {
response
.headers()
.get("content-type")
.and_then(|v| v.to_str().ok())
.map(|ct| ct.contains("text/event-stream"))
.unwrap_or(false)
}
/// 处理流式响应
pub async fn handle_streaming(
response: reqwest::Response,
ctx: &RequestContext,
state: &ProxyState,
parser_config: &UsageParserConfig,
) -> Response {
log::info!("[{}] 流式透传响应 (SSE)", ctx.tag);
let status = response.status();
let mut builder = axum::response::Response::builder().status(status);
// 复制响应头
for (key, value) in response.headers() {
builder = builder.header(key, value);
}
// 创建字节流
let stream = response
.bytes_stream()
.map(|chunk| chunk.map_err(|e| std::io::Error::other(e.to_string())));
// 创建使用量收集器
let usage_collector = create_usage_collector(ctx, state, status.as_u16(), parser_config);
// 获取流式超时配置
let timeout_config = ctx.streaming_timeout_config();
// 创建带日志和超时的透传流
let logged_stream =
create_logged_passthrough_stream(stream, ctx.tag, Some(usage_collector), timeout_config);
let body = axum::body::Body::from_stream(logged_stream);
match builder.body(body) {
Ok(resp) => resp,
Err(e) => {
log::error!("[{}] 构建流式响应失败: {e}", ctx.tag);
ProxyError::Internal(format!("Failed to build streaming response: {e}")).into_response()
}
}
}
/// 处理非流式响应
pub async fn handle_non_streaming(
response: reqwest::Response,
ctx: &RequestContext,
state: &ProxyState,
parser_config: &UsageParserConfig,
) -> Result<Response, ProxyError> {
let response_headers = response.headers().clone();
let status = response.status();
// 读取响应体
let body_bytes = response.bytes().await.map_err(|e| {
log::error!("[{}] 读取响应失败: {e}", ctx.tag);
ProxyError::ForwardFailed(format!("Failed to read response body: {e}"))
})?;
// 解析并记录使用量
if let Ok(json_value) = serde_json::from_slice::<Value>(&body_bytes) {
log::info!(
"[{}] <<< 响应 JSON:\n{}",
ctx.tag,
serde_json::to_string_pretty(&json_value).unwrap_or_default()
);
// 解析使用量
if let Some(usage) = (parser_config.response_parser)(&json_value) {
// 优先使用 usage 中解析出的模型名称,其次使用响应中的 model 字段,最后回退到请求模型
let model = if let Some(ref m) = usage.model {
m.clone()
} else if let Some(m) = json_value.get("model").and_then(|m| m.as_str()) {
m.to_string()
} else {
ctx.request_model.clone()
};
spawn_log_usage(state, ctx, usage, &model, status.as_u16(), false);
} else {
let model = json_value
.get("model")
.and_then(|m| m.as_str())
.unwrap_or(&ctx.request_model)
.to_string();
spawn_log_usage(
state,
ctx,
TokenUsage::default(),
&model,
status.as_u16(),
false,
);
log::debug!(
"[{}] 未能解析 usage 信息,跳过记录",
parser_config.app_type_str
);
}
} else {
log::info!(
"[{}] <<< 响应 (非 JSON): {} bytes",
ctx.tag,
body_bytes.len()
);
spawn_log_usage(
state,
ctx,
TokenUsage::default(),
&ctx.request_model,
status.as_u16(),
false,
);
}
log::info!("[{}] ====== 请求结束 ======", ctx.tag);
// 构建响应
let mut builder = axum::response::Response::builder().status(status);
for (key, value) in response_headers.iter() {
builder = builder.header(key, value);
}
let body = axum::body::Body::from(body_bytes);
builder.body(body).map_err(|e| {
log::error!("[{}] 构建响应失败: {e}", ctx.tag);
ProxyError::Internal(format!("Failed to build response: {e}"))
})
}
/// 通用响应处理入口
///
/// 根据响应类型自动选择流式或非流式处理
pub async fn process_response(
response: reqwest::Response,
ctx: &RequestContext,
state: &ProxyState,
parser_config: &UsageParserConfig,
) -> Result<Response, ProxyError> {
if is_sse_response(&response) {
Ok(handle_streaming(response, ctx, state, parser_config).await)
} else {
handle_non_streaming(response, ctx, state, parser_config).await
}
}
// ============================================================================
// SSE 使用量收集器
// ============================================================================
type UsageCallbackWithTiming = Arc<dyn Fn(Vec<Value>, Option<u64>) + Send + Sync + 'static>;
/// SSE 使用量收集器
#[derive(Clone)]
pub struct SseUsageCollector {
inner: Arc<SseUsageCollectorInner>,
}
struct SseUsageCollectorInner {
events: Mutex<Vec<Value>>,
first_event_time: Mutex<Option<std::time::Instant>>,
start_time: std::time::Instant,
on_complete: UsageCallbackWithTiming,
finished: AtomicBool,
}
impl SseUsageCollector {
/// 创建新的使用量收集器
pub fn new(
start_time: std::time::Instant,
callback: impl Fn(Vec<Value>, Option<u64>) + Send + Sync + 'static,
) -> Self {
let on_complete: UsageCallbackWithTiming = Arc::new(callback);
Self {
inner: Arc::new(SseUsageCollectorInner {
events: Mutex::new(Vec::new()),
first_event_time: Mutex::new(None),
start_time,
on_complete,
finished: AtomicBool::new(false),
}),
}
}
/// 推送 SSE 事件
pub async fn push(&self, event: Value) {
// 记录首个事件时间
{
let mut first_time = self.inner.first_event_time.lock().await;
if first_time.is_none() {
*first_time = Some(std::time::Instant::now());
}
}
let mut events = self.inner.events.lock().await;
events.push(event);
}
/// 完成收集并触发回调
pub async fn finish(&self) {
if self.inner.finished.swap(true, Ordering::SeqCst) {
return;
}
let events = {
let mut guard = self.inner.events.lock().await;
std::mem::take(&mut *guard)
};
let first_token_ms = {
let first_time = self.inner.first_event_time.lock().await;
first_time.map(|t| (t - self.inner.start_time).as_millis() as u64)
};
(self.inner.on_complete)(events, first_token_ms);
}
}
// ============================================================================
// 内部辅助函数
// ============================================================================
/// 创建使用量收集器
fn create_usage_collector(
ctx: &RequestContext,
state: &ProxyState,
status_code: u16,
parser_config: &UsageParserConfig,
) -> SseUsageCollector {
let state = state.clone();
let provider_id = ctx.provider.id.clone();
let request_model = ctx.request_model.clone();
let app_type_str = parser_config.app_type_str;
let tag = ctx.tag;
let start_time = ctx.start_time;
let stream_parser = parser_config.stream_parser;
let model_extractor = parser_config.model_extractor;
let session_id = ctx.session_id.clone();
SseUsageCollector::new(start_time, move |events, first_token_ms| {
if let Some(usage) = stream_parser(&events) {
let model = model_extractor(&events, &request_model);
let latency_ms = start_time.elapsed().as_millis() as u64;
let state = state.clone();
let provider_id = provider_id.clone();
let session_id = session_id.clone();
tokio::spawn(async move {
log_usage_internal(
&state,
&provider_id,
app_type_str,
&model,
usage,
latency_ms,
first_token_ms,
true, // is_streaming
status_code,
Some(session_id),
)
.await;
});
} else {
let model = model_extractor(&events, &request_model);
let latency_ms = start_time.elapsed().as_millis() as u64;
let state = state.clone();
let provider_id = provider_id.clone();
let session_id = session_id.clone();
tokio::spawn(async move {
log_usage_internal(
&state,
&provider_id,
app_type_str,
&model,
TokenUsage::default(),
latency_ms,
first_token_ms,
true, // is_streaming
status_code,
Some(session_id),
)
.await;
});
log::debug!("[{tag}] 流式响应缺少 usage 统计,跳过消费记录");
}
})
}
/// 异步记录使用量
fn spawn_log_usage(
state: &ProxyState,
ctx: &RequestContext,
usage: TokenUsage,
model: &str,
status_code: u16,
is_streaming: bool,
) {
let state = state.clone();
let provider_id = ctx.provider.id.clone();
let app_type_str = ctx.app_type_str.to_string();
let model = model.to_string();
let latency_ms = ctx.latency_ms();
let session_id = ctx.session_id.clone();
tokio::spawn(async move {
log_usage_internal(
&state,
&provider_id,
&app_type_str,
&model,
usage,
latency_ms,
None,
is_streaming,
status_code,
Some(session_id),
)
.await;
});
}
/// 内部使用量记录函数
#[allow(clippy::too_many_arguments)]
async fn log_usage_internal(
state: &ProxyState,
provider_id: &str,
app_type: &str,
model: &str,
usage: TokenUsage,
latency_ms: u64,
first_token_ms: Option<u64>,
is_streaming: bool,
status_code: u16,
session_id: Option<String>,
) {
use super::usage::logger::UsageLogger;
let logger = UsageLogger::new(&state.db);
// 获取 provider 的 cost_multiplier
let multiplier = match state.db.get_provider_by_id(provider_id, app_type) {
Ok(Some(p)) => {
if let Some(meta) = p.meta {
if let Some(cm) = meta.cost_multiplier {
Decimal::from_str(&cm).unwrap_or(Decimal::from(1))
} else {
Decimal::from(1)
}
} else {
Decimal::from(1)
}
}
_ => Decimal::from(1),
};
let request_id = uuid::Uuid::new_v4().to_string();
log::debug!(
"[{app_type}] 记录请求日志: id={request_id}, provider={provider_id}, model={model}, streaming={is_streaming}, status={status_code}, latency_ms={latency_ms}, first_token_ms={first_token_ms:?}, session={}, input={}, output={}, cache_read={}, cache_creation={}",
session_id.as_deref().unwrap_or("none"),
usage.input_tokens,
usage.output_tokens,
usage.cache_read_tokens,
usage.cache_creation_tokens
);
if let Err(e) = logger.log_with_calculation(
request_id,
provider_id.to_string(),
app_type.to_string(),
model.to_string(),
usage,
multiplier,
latency_ms,
first_token_ms,
status_code,
session_id,
None, // provider_type
is_streaming,
) {
log::warn!("记录使用量失败: {e}");
}
}
/// 创建带日志记录和超时控制的透传流
pub fn create_logged_passthrough_stream(
stream: impl Stream<Item = Result<Bytes, std::io::Error>> + Send + 'static,
tag: &'static str,
usage_collector: Option<SseUsageCollector>,
timeout_config: StreamingTimeoutConfig,
) -> impl Stream<Item = Result<Bytes, std::io::Error>> + Send {
async_stream::stream! {
let mut buffer = String::new();
let mut collector = usage_collector;
let mut is_first_chunk = true;
// 超时配置
let first_byte_timeout = if timeout_config.first_byte_timeout > 0 {
Some(Duration::from_secs(timeout_config.first_byte_timeout))
} else {
None
};
let idle_timeout = if timeout_config.idle_timeout > 0 {
Some(Duration::from_secs(timeout_config.idle_timeout))
} else {
None
};
tokio::pin!(stream);
loop {
// 选择超时时间:首字节超时或静默期超时
let timeout_duration = if is_first_chunk {
first_byte_timeout
} else {
idle_timeout
};
let chunk_result = match timeout_duration {
Some(duration) => {
match tokio::time::timeout(duration, stream.next()).await {
Ok(Some(chunk)) => Some(chunk),
Ok(None) => None, // 流结束
Err(_) => {
// 超时
let timeout_type = if is_first_chunk { "首字节" } else { "静默期" };
log::error!("[{tag}] 流式响应{}超时 ({}秒)", timeout_type, duration.as_secs());
yield Err(std::io::Error::other(format!("流式响应{timeout_type}超时")));
break;
}
}
}
None => stream.next().await, // 无超时限制
};
match chunk_result {
Some(Ok(bytes)) => {
is_first_chunk = false;
let text = String::from_utf8_lossy(&bytes);
buffer.push_str(&text);
// 尝试解析并记录完整的 SSE 事件
while let Some(pos) = buffer.find("\n\n") {
let event_text = buffer[..pos].to_string();
buffer = buffer[pos + 2..].to_string();
if !event_text.trim().is_empty() {
// 提取 data 部分并尝试解析为 JSON
for line in event_text.lines() {
if let Some(data) = line.strip_prefix("data: ") {
if data.trim() != "[DONE]" {
if let Ok(json_value) = serde_json::from_str::<Value>(data) {
if let Some(c) = &collector {
c.push(json_value.clone()).await;
}
log::info!(
"[{}] <<< SSE 事件:\n{}",
tag,
serde_json::to_string_pretty(&json_value).unwrap_or_else(|_| data.to_string())
);
} else {
log::info!("[{tag}] <<< SSE 数据: {data}");
}
} else {
log::info!("[{tag}] <<< SSE: [DONE]");
}
}
}
}
}
yield Ok(bytes);
}
Some(Err(e)) => {
log::error!("[{tag}] 流错误: {e}");
yield Err(std::io::Error::other(e.to_string()));
break;
}
None => {
// 流正常结束
break;
}
}
}
log::info!("[{}] ====== 流结束 ======", tag);
if let Some(c) = collector.take() {
c.finish().await;
}
}
}