Files
cc-switch/src-tauri/src/proxy/response_processor.rs
T
Jason bf40b0138c feat: add usage daily rollups, incremental auto-vacuum, and sync-aware backup
- Add usage_daily_rollups table (schema v6) to aggregate proxy request
  logs into daily summaries, reducing query overhead for statistics
- Add rollup_and_prune DAO that aggregates old detail logs (>N days)
  into rollup rows and deletes the originals
- Update all usage stats queries to UNION detail logs with rollup data
- Introduce incremental auto-vacuum for SQLite, with startup and
  periodic cleanup of old stream_check_logs and request log rollups
- Split backup export/import into full vs sync variants: WebDAV sync
  now skips local-only table data (proxy_request_logs,
  stream_check_logs, provider_health, proxy_live_backup,
  usage_daily_rollups) while preserving them on import
- Add enable_logging guard to skip request log writes when disabled
- Apply cargo fmt formatting fixes across multiple modules
2026-03-08 19:42:18 +08:00

760 lines
24 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 reqwest::header::HeaderMap;
use serde_json::Value;
use std::{
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 {
let status = response.status();
log::debug!(
"[{}] 已接收上游流式响应: status={}, headers={}",
ctx.tag,
status.as_u16(),
format_headers(response.headers())
);
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}"))
})?;
log::debug!(
"[{}] 已接收上游响应体: status={}, bytes={}, headers={}",
ctx.tag,
status.as_u16(),
body_bytes.len(),
format_headers(&response_headers)
);
log::debug!(
"[{}] 上游响应体内容: {}",
ctx.tag,
String::from_utf8_lossy(&body_bytes)
);
// 解析并记录使用量
if let Ok(json_value) = serde_json::from_slice::<Value>(&body_bytes) {
// 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,
&ctx.request_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,
&ctx.request_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::debug!(
"[{}] <<< 响应 (非 JSON): {} bytes",
ctx.tag,
body_bytes.len()
);
spawn_log_usage(
state,
ctx,
TokenUsage::default(),
&ctx.request_model,
&ctx.request_model,
status.as_u16(),
false,
);
}
// 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 logging_enabled = state
.config
.try_read()
.map(|c| c.enable_logging)
.unwrap_or(true);
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 !logging_enabled {
return;
}
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();
let request_model = request_model.clone();
tokio::spawn(async move {
log_usage_internal(
&state,
&provider_id,
app_type_str,
&model,
&request_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();
let request_model = request_model.clone();
tokio::spawn(async move {
log_usage_internal(
&state,
&provider_id,
app_type_str,
&model,
&request_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,
request_model: &str,
status_code: u16,
is_streaming: bool,
) {
// Check enable_logging before spawning the log task
if let Ok(config) = state.config.try_read() {
if !config.enable_logging {
return;
}
}
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 request_model = request_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,
&request_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,
request_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);
let (multiplier, pricing_model_source) =
logger.resolve_pricing_config(provider_id, app_type).await;
let pricing_model = if pricing_model_source == "request" {
request_model
} else {
model
};
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(),
request_model.to_string(),
pricing_model.to_string(),
usage,
multiplier,
latency_ms,
first_token_ms,
status_code,
session_id,
None, // provider_type
is_streaming,
) {
log::warn!("[USG-001] 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)) => {
if is_first_chunk {
log::debug!(
"[{tag}] 已接收上游流式首包: bytes={}",
bytes.len()
);
}
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::debug!("[{tag}] <<< SSE 事件: {data}");
} else {
log::debug!("[{tag}] <<< SSE 数据: {data}");
}
} else {
log::debug!("[{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;
}
}
}
if let Some(c) = collector.take() {
c.finish().await;
}
}
}
fn format_headers(headers: &HeaderMap) -> String {
headers
.iter()
.map(|(key, value)| {
let value_str = value.to_str().unwrap_or("<non-utf8>");
format!("{key}={value_str}")
})
.collect::<Vec<_>>()
.join(", ")
}
#[cfg(test)]
mod tests {
use super::*;
use crate::database::Database;
use crate::error::AppError;
use crate::provider::ProviderMeta;
use crate::proxy::failover_switch::FailoverSwitchManager;
use crate::proxy::provider_router::ProviderRouter;
use crate::proxy::types::{ProxyConfig, ProxyStatus};
use rust_decimal::Decimal;
use std::collections::HashMap;
use std::str::FromStr;
use std::sync::Arc;
use tokio::sync::RwLock;
fn build_state(db: Arc<Database>) -> ProxyState {
ProxyState {
db: db.clone(),
config: Arc::new(RwLock::new(ProxyConfig::default())),
status: Arc::new(RwLock::new(ProxyStatus::default())),
start_time: Arc::new(RwLock::new(None)),
current_providers: Arc::new(RwLock::new(HashMap::new())),
provider_router: Arc::new(ProviderRouter::new(db.clone())),
app_handle: None,
failover_manager: Arc::new(FailoverSwitchManager::new(db)),
}
}
fn seed_pricing(db: &Database) -> Result<(), AppError> {
let conn = crate::database::lock_conn!(db.conn);
conn.execute(
"INSERT OR REPLACE INTO model_pricing (model_id, display_name, input_cost_per_million, output_cost_per_million)
VALUES (?1, ?2, ?3, ?4)",
rusqlite::params!["resp-model", "Resp Model", "1.0", "0"],
)
.map_err(|e| AppError::Database(e.to_string()))?;
conn.execute(
"INSERT OR REPLACE INTO model_pricing (model_id, display_name, input_cost_per_million, output_cost_per_million)
VALUES (?1, ?2, ?3, ?4)",
rusqlite::params!["req-model", "Req Model", "2.0", "0"],
)
.map_err(|e| AppError::Database(e.to_string()))?;
Ok(())
}
fn insert_provider(
db: &Database,
id: &str,
app_type: &str,
meta: ProviderMeta,
) -> Result<(), AppError> {
let meta_json =
serde_json::to_string(&meta).map_err(|e| AppError::Database(e.to_string()))?;
let conn = crate::database::lock_conn!(db.conn);
conn.execute(
"INSERT INTO providers (id, app_type, name, settings_config, meta)
VALUES (?1, ?2, ?3, ?4, ?5)",
rusqlite::params![id, app_type, "Test Provider", "{}", meta_json],
)
.map_err(|e| AppError::Database(e.to_string()))?;
Ok(())
}
#[tokio::test]
async fn test_log_usage_uses_provider_override_config() -> Result<(), AppError> {
let db = Arc::new(Database::memory()?);
let app_type = "claude";
db.set_default_cost_multiplier(app_type, "1.5").await?;
db.set_pricing_model_source(app_type, "response").await?;
seed_pricing(&db)?;
let mut meta = ProviderMeta::default();
meta.cost_multiplier = Some("2".to_string());
meta.pricing_model_source = Some("request".to_string());
insert_provider(&db, "provider-1", app_type, meta)?;
let state = build_state(db.clone());
let usage = TokenUsage {
input_tokens: 1_000_000,
output_tokens: 0,
cache_read_tokens: 0,
cache_creation_tokens: 0,
model: None,
};
log_usage_internal(
&state,
"provider-1",
app_type,
"resp-model",
"req-model",
usage,
10,
None,
false,
200,
None,
)
.await;
let conn = crate::database::lock_conn!(db.conn);
let (model, request_model, total_cost, cost_multiplier): (String, String, String, String) =
conn.query_row(
"SELECT model, request_model, total_cost_usd, cost_multiplier
FROM proxy_request_logs WHERE provider_id = ?1",
["provider-1"],
|row| Ok((row.get(0)?, row.get(1)?, row.get(2)?, row.get(3)?)),
)
.map_err(|e| AppError::Database(e.to_string()))?;
assert_eq!(model, "resp-model");
assert_eq!(request_model, "req-model");
assert_eq!(
Decimal::from_str(&cost_multiplier).unwrap(),
Decimal::from_str("2").unwrap()
);
assert_eq!(
Decimal::from_str(&total_cost).unwrap(),
Decimal::from_str("4").unwrap()
);
Ok(())
}
#[tokio::test]
async fn test_log_usage_falls_back_to_global_defaults() -> Result<(), AppError> {
let db = Arc::new(Database::memory()?);
let app_type = "claude";
db.set_default_cost_multiplier(app_type, "1.5").await?;
db.set_pricing_model_source(app_type, "response").await?;
seed_pricing(&db)?;
let meta = ProviderMeta::default();
insert_provider(&db, "provider-2", app_type, meta)?;
let state = build_state(db.clone());
let usage = TokenUsage {
input_tokens: 1_000_000,
output_tokens: 0,
cache_read_tokens: 0,
cache_creation_tokens: 0,
model: None,
};
log_usage_internal(
&state,
"provider-2",
app_type,
"resp-model",
"req-model",
usage,
10,
None,
false,
200,
None,
)
.await;
let conn = crate::database::lock_conn!(db.conn);
let (total_cost, cost_multiplier): (String, String) = conn
.query_row(
"SELECT total_cost_usd, cost_multiplier
FROM proxy_request_logs WHERE provider_id = ?1",
["provider-2"],
|row| Ok((row.get(0)?, row.get(1)?)),
)
.map_err(|e| AppError::Database(e.to_string()))?;
assert_eq!(
Decimal::from_str(&cost_multiplier).unwrap(),
Decimal::from_str("1.5").unwrap()
);
assert_eq!(
Decimal::from_str(&total_cost).unwrap(),
Decimal::from_str("1.5").unwrap()
);
Ok(())
}
}