Files
CC-Switch/src-tauri/src/proxy/providers/streaming.rs
T
Dex Miller 6dd809701b Refactor/simplify proxy logs (#585)
* refactor(proxy): simplify logging for better readability

- Delete 17 verbose debug logs from handlers, streaming, and response_processor
- Convert excessive INFO logs to DEBUG level for internal processing details
- Add 2 critical INFO logs in forwarder.rs for failover scenarios:
  - Log when switching to next provider after failure
  - Log when all providers have been exhausted
- Fix clippy uninlined_format_args warning

This reduces log noise while maintaining visibility into key user-facing decisions.

* fix: replace unsafe unwrap() calls with proper error handling

- database/dao/mcp.rs: Use map_err for serde_json serialization
- database/dao/providers.rs: Use map_err for settings_config and meta serialization
- commands/misc.rs: Use expect() for compile-time regex pattern
- services/prompt.rs: Use unwrap_or_default() for SystemTime
- deeplink/provider.rs: Replace unwrap() with is_none_or pattern for Option checks

Reduces potential panic points from 26 to 1 (static regex init, safe).

* refactor(proxy): simplify verbose logging output

- Remove response JSON full output logging in response_processor
- Remove per-request INFO logs in provider_router (failover status, provider selection)
- Change model mapping log from INFO to DEBUG
- Change usage logging failure from INFO to WARN
- Remove redundant debug logs for circuit breaker operations

Reduces log noise significantly while preserving important warnings and errors.

* feat(proxy): add structured log codes for i18n support

Add error code system to proxy module logs for multi-language support:

- CB-001~006: Circuit breaker state transitions and triggers
- SRV-001~004: Proxy server lifecycle events
- FWD-001~002: Request forwarding and failover
- FO-001~005: Failover switch operations
- USG-001~002: Usage logging errors

Log format: [CODE] Chinese message
Frontend/log tools can map codes to any language.

New file: src/proxy/log_codes.rs - centralized code definitions

* chore: bump version to 3.9.1

* style: format code with prettier and rustfmt

* fix(ui): allow number inputs to be fully cleared before saving

- Convert numeric state to string type for controlled inputs
- Use isNaN() check instead of || fallback to allow 0 values
- Apply fix to ProxyPanel, CircuitBreakerConfigPanel,
  AutoFailoverConfigPanel, and ModelTestConfigPanel

* feat(pricing): support @ separator in model name matching

- Refactor model name cleaning into chained method calls
- Add @ to - replacement (e.g., gpt-5.2-codex@low → gpt-5.2-codex-low)
- Add test case for @ separator matching

* fix(proxy): improve validation and error handling in proxy config panels

- Add StopTimeout/StopFailed error types for proper stop() error reporting
- Replace silent clamp with validation-and-block in config panels
- Add listenAddress format validation in ProxyPanel
- Use log_codes constants instead of hardcoded strings
- Use once_cell::Lazy for regex precompilation

* fix(proxy): harden error handling and input validation

- Handle RwLock poisoning in settings.rs with unwrap_or_else
- Add fallback for dirs::home_dir() in config modules
- Normalize localhost to 127.0.0.1 in ProxyPanel
- Format IPv6 addresses with brackets for valid URLs
- Strict port validation with pure digit regex
- Treat NaN as validation failure in config panels
- Log warning on cost_multiplier parse failure
- Align timeoutSeconds range to [0, 300] across all panels
2026-01-11 20:50:54 +08:00

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//! 流式响应转换模块
//!
//! 实现 OpenAI SSE → Anthropic SSE 格式转换
use bytes::Bytes;
use futures::stream::{Stream, StreamExt};
use serde::{Deserialize, Serialize};
use serde_json::json;
/// OpenAI 流式响应数据结构
#[derive(Debug, Deserialize)]
struct OpenAIStreamChunk {
id: String,
model: String,
choices: Vec<StreamChoice>,
#[serde(default)]
usage: Option<Usage>,
}
#[derive(Debug, Deserialize)]
struct StreamChoice {
delta: Delta,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Debug, Deserialize)]
struct Delta {
#[serde(default)]
content: Option<String>,
#[serde(default)]
reasoning: Option<String>, // OpenRouter 的推理内容
#[serde(default)]
tool_calls: Option<Vec<DeltaToolCall>>,
}
#[derive(Debug, Deserialize, Serialize)]
struct DeltaToolCall {
index: usize,
#[serde(default)]
id: Option<String>,
#[serde(rename = "type", default)]
call_type: Option<String>,
#[serde(default)]
function: Option<DeltaFunction>,
}
#[derive(Debug, Deserialize, Serialize)]
struct DeltaFunction {
#[serde(default)]
name: Option<String>,
#[serde(default)]
arguments: Option<String>,
}
/// OpenAI 流式响应的 usage 信息(完整版)
#[derive(Debug, Deserialize)]
struct Usage {
#[serde(default)]
prompt_tokens: u32,
#[serde(default)]
completion_tokens: u32,
}
/// 创建 Anthropic SSE 流
pub fn create_anthropic_sse_stream(
stream: impl Stream<Item = Result<Bytes, reqwest::Error>> + Send + 'static,
) -> impl Stream<Item = Result<Bytes, std::io::Error>> + Send {
async_stream::stream! {
let mut buffer = String::new();
let mut message_id = None;
let mut current_model = None;
let mut content_index = 0;
let mut has_sent_message_start = false;
let mut current_block_type: Option<String> = None;
let mut tool_call_id = None;
tokio::pin!(stream);
while let Some(chunk) = stream.next().await {
match chunk {
Ok(bytes) => {
let text = String::from_utf8_lossy(&bytes);
buffer.push_str(&text);
while let Some(pos) = buffer.find("\n\n") {
let line = buffer[..pos].to_string();
buffer = buffer[pos + 2..].to_string();
if line.trim().is_empty() {
continue;
}
for l in line.lines() {
if let Some(data) = l.strip_prefix("data: ") {
if data.trim() == "[DONE]" {
log::debug!("[Claude/OpenRouter] <<< OpenAI SSE: [DONE]");
let event = json!({"type": "message_stop"});
let sse_data = format!("event: message_stop\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
log::debug!("[Claude/OpenRouter] >>> Anthropic SSE: message_stop");
yield Ok(Bytes::from(sse_data));
continue;
}
if let Ok(chunk) = serde_json::from_str::<OpenAIStreamChunk>(data) {
// 仅在 DEBUG 级别简短记录 SSE 事件
log::debug!("[Claude/OpenRouter] <<< SSE chunk received");
if message_id.is_none() {
message_id = Some(chunk.id.clone());
}
if current_model.is_none() {
current_model = Some(chunk.model.clone());
}
if let Some(choice) = chunk.choices.first() {
if !has_sent_message_start {
let event = json!({
"type": "message_start",
"message": {
"id": message_id.clone().unwrap_or_default(),
"type": "message",
"role": "assistant",
"model": current_model.clone().unwrap_or_default(),
"usage": {
"input_tokens": 0,
"output_tokens": 0
}
}
});
let sse_data = format!("event: message_start\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
has_sent_message_start = true;
}
// 处理 reasoningthinking
if let Some(reasoning) = &choice.delta.reasoning {
if current_block_type.is_none() {
let event = json!({
"type": "content_block_start",
"index": content_index,
"content_block": {
"type": "thinking",
"thinking": ""
}
});
let sse_data = format!("event: content_block_start\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
current_block_type = Some("thinking".to_string());
}
let event = json!({
"type": "content_block_delta",
"index": content_index,
"delta": {
"type": "thinking_delta",
"thinking": reasoning
}
});
let sse_data = format!("event: content_block_delta\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
}
// 处理文本内容
if let Some(content) = &choice.delta.content {
if !content.is_empty() {
if current_block_type.as_deref() != Some("text") {
if current_block_type.is_some() {
let event = json!({
"type": "content_block_stop",
"index": content_index
});
let sse_data = format!("event: content_block_stop\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
content_index += 1;
}
let event = json!({
"type": "content_block_start",
"index": content_index,
"content_block": {
"type": "text",
"text": ""
}
});
let sse_data = format!("event: content_block_start\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
current_block_type = Some("text".to_string());
}
let event = json!({
"type": "content_block_delta",
"index": content_index,
"delta": {
"type": "text_delta",
"text": content
}
});
let sse_data = format!("event: content_block_delta\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
}
}
// 处理工具调用
if let Some(tool_calls) = &choice.delta.tool_calls {
for tool_call in tool_calls {
if let Some(id) = &tool_call.id {
if current_block_type.is_some() {
let event = json!({
"type": "content_block_stop",
"index": content_index
});
let sse_data = format!("event: content_block_stop\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
content_index += 1;
}
tool_call_id = Some(id.clone());
}
if let Some(function) = &tool_call.function {
if let Some(name) = &function.name {
let event = json!({
"type": "content_block_start",
"index": content_index,
"content_block": {
"type": "tool_use",
"id": tool_call_id.clone().unwrap_or_default(),
"name": name
}
});
let sse_data = format!("event: content_block_start\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
current_block_type = Some("tool_use".to_string());
}
if let Some(args) = &function.arguments {
let event = json!({
"type": "content_block_delta",
"index": content_index,
"delta": {
"type": "input_json_delta",
"partial_json": args
}
});
let sse_data = format!("event: content_block_delta\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
}
}
}
}
// 处理 finish_reason
if let Some(finish_reason) = &choice.finish_reason {
if current_block_type.is_some() {
let event = json!({
"type": "content_block_stop",
"index": content_index
});
let sse_data = format!("event: content_block_stop\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
}
let stop_reason = map_stop_reason(Some(finish_reason));
// 构建 usage 信息,包含 input_tokens 和 output_tokens
let usage_json = chunk.usage.as_ref().map(|u| json!({
"input_tokens": u.prompt_tokens,
"output_tokens": u.completion_tokens
}));
let event = json!({
"type": "message_delta",
"delta": {
"stop_reason": stop_reason,
"stop_sequence": null
},
"usage": usage_json
});
let sse_data = format!("event: message_delta\ndata: {}\n\n",
serde_json::to_string(&event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
}
}
}
}
}
}
}
Err(e) => {
log::error!("Stream error: {e}");
let error_event = json!({
"type": "error",
"error": {
"type": "stream_error",
"message": format!("Stream error: {e}")
}
});
let sse_data = format!("event: error\ndata: {}\n\n",
serde_json::to_string(&error_event).unwrap_or_default());
yield Ok(Bytes::from(sse_data));
break;
}
}
}
}
}
/// 映射停止原因
fn map_stop_reason(finish_reason: Option<&str>) -> Option<String> {
finish_reason.map(|r| {
match r {
"tool_calls" => "tool_use",
"stop" => "end_turn",
"length" => "max_tokens",
_ => "end_turn",
}
.to_string()
})
}