Files
CC-Switch/src-tauri/src/services/stream_check.rs
T
YoVinchen 4084b53834 refactor(proxy): use hyper client for header-case preserving forwarding
Previously the proxy used reqwest for all upstream requests. reqwest
normalizes header names to lowercase and reorders them internally,
making proxied requests distinguishable from direct CLI requests.
Some upstream providers are sensitive to these differences.

This commit replaces reqwest with a hyper-based HTTP client on the
default (non-proxy) path, achieving wire-level header fidelity:

Server layer (server.rs):
- Replace axum::serve with a manual hyper HTTP/1.1 accept loop
- Enable preserve_header_case(true) so incoming header casing is
  captured in a HeaderCaseMap extension on each request
- Bridge hyper requests to axum Router via tower::Service

New hyper client module (hyper_client.rs):
- Lazy-initialized hyper-util Client with preserve_header_case
- ProxyResponse enum wrapping both hyper::Response and reqwest::Response
  behind a unified interface (status, headers, bytes, bytes_stream)
- send_request() builds requests with ordered HeaderMap + case map

Request handlers (handlers.rs):
- Switch from (HeaderMap, Json<Value>) extractors to raw
  axum::extract::Request to preserve Extensions (containing the
  HeaderCaseMap from the accept loop)
- Pass extensions through the forwarding chain

Forwarder (forwarder.rs):
- Remove HEADER_BLACKLIST array; replace with ordered header iteration
  that preserves original header sequence and casing
- Build ordered_headers by iterating client headers, skipping only
  auth/host/content-length, and inserting auth headers at the original
  authorization position to maintain order
- Handle anthropic-beta (ensure claude-code-20250219 tag) and
  anthropic-version (passthrough or default) inline during iteration
- Remove should_force_identity_encoding() — accept-encoding is now
  transparently forwarded to upstream
- Use hyper client by default; fall back to reqwest only when an
  HTTP/SOCKS5 proxy tunnel is configured

Provider adapters (adapter.rs, claude.rs, codex.rs, gemini.rs):
- Replace add_auth_headers(RequestBuilder) -> RequestBuilder with
  get_auth_headers(AuthInfo) -> Vec<(HeaderName, HeaderValue)>
- Adapters now return header pairs instead of mutating a reqwest builder
- Claude adapter: merge Anthropic/ClaudeAuth/Bearer into single branch;
  move Copilot fingerprint headers into get_auth_headers

Response processing (response_processor.rs):
- Add manual decompression (gzip/deflate/brotli via flate2 + brotli)
  for non-streaming responses, since reqwest auto-decompression is now
  disabled to allow accept-encoding passthrough
- Add compressed-SSE warning log for streaming responses
- Accept ProxyResponse instead of reqwest::Response

HTTP client (http_client.rs):
- Disable reqwest auto-decompression (.no_gzip/.no_brotli/.no_deflate)
  on both global and per-provider clients

Streaming adapters (streaming.rs, streaming_responses.rs):
- Generalize stream error type from reqwest::Error to generic E: Error

Misc:
- log_codes.rs: add SRV-005 (ACCEPT_ERR) and SRV-006 (CONN_ERR)
- stream_check.rs: reformat copilot header lines
- transform.rs: fix trailing whitespace alignment
2026-03-27 15:34:25 +08:00

893 lines
32 KiB
Rust

//! 流式健康检查服务
//!
//! 使用流式 API 进行快速健康检查,只需接收首个 chunk 即判定成功。
use futures::StreamExt;
use regex::Regex;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use serde_json::json;
use std::time::Instant;
use crate::app_config::AppType;
use crate::error::AppError;
use crate::provider::Provider;
use crate::proxy::providers::copilot_auth;
use crate::proxy::providers::transform::anthropic_to_openai;
use crate::proxy::providers::{get_adapter, AuthInfo, AuthStrategy};
/// 健康状态枚举
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum HealthStatus {
Operational,
Degraded,
Failed,
}
/// 流式检查配置
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct StreamCheckConfig {
pub timeout_secs: u64,
pub max_retries: u32,
pub degraded_threshold_ms: u64,
/// Claude 测试模型
pub claude_model: String,
/// Codex 测试模型
pub codex_model: String,
/// Gemini 测试模型
pub gemini_model: String,
/// 检查提示词
#[serde(default = "default_test_prompt")]
pub test_prompt: String,
}
fn default_test_prompt() -> String {
"Who are you?".to_string()
}
impl Default for StreamCheckConfig {
fn default() -> Self {
Self {
timeout_secs: 45,
max_retries: 2,
degraded_threshold_ms: 6000,
claude_model: "claude-haiku-4-5-20251001".to_string(),
codex_model: "gpt-5.1-codex@low".to_string(),
gemini_model: "gemini-3-pro-preview".to_string(),
test_prompt: default_test_prompt(),
}
}
}
/// 流式检查结果
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct StreamCheckResult {
pub status: HealthStatus,
pub success: bool,
pub message: String,
pub response_time_ms: Option<u64>,
pub http_status: Option<u16>,
pub model_used: String,
pub tested_at: i64,
pub retry_count: u32,
}
/// 流式健康检查服务
pub struct StreamCheckService;
impl StreamCheckService {
/// 执行流式健康检查(带重试)
///
/// 如果 Provider 配置了单独的测试配置(meta.testConfig),则使用该配置覆盖全局配置
pub async fn check_with_retry(
app_type: &AppType,
provider: &Provider,
config: &StreamCheckConfig,
auth_override: Option<AuthInfo>,
) -> Result<StreamCheckResult, AppError> {
// 合并供应商单独配置和全局配置
let effective_config = Self::merge_provider_config(provider, config);
let mut last_result = None;
for attempt in 0..=effective_config.max_retries {
let result =
Self::check_once(app_type, provider, &effective_config, auth_override.clone())
.await;
match &result {
Ok(r) if r.success => {
return Ok(StreamCheckResult {
retry_count: attempt,
..r.clone()
});
}
Ok(r) => {
// 失败但非异常,判断是否重试
if Self::should_retry(&r.message) && attempt < effective_config.max_retries {
last_result = Some(r.clone());
continue;
}
return Ok(StreamCheckResult {
retry_count: attempt,
..r.clone()
});
}
Err(e) => {
if Self::should_retry(&e.to_string()) && attempt < effective_config.max_retries
{
continue;
}
return Err(AppError::Message(e.to_string()));
}
}
}
Ok(last_result.unwrap_or_else(|| StreamCheckResult {
status: HealthStatus::Failed,
success: false,
message: "Check failed".to_string(),
response_time_ms: None,
http_status: None,
model_used: String::new(),
tested_at: chrono::Utc::now().timestamp(),
retry_count: effective_config.max_retries,
}))
}
/// 合并供应商单独配置和全局配置
///
/// 如果供应商配置了 meta.testConfig 且 enabled 为 true,则使用供应商配置覆盖全局配置
fn merge_provider_config(
provider: &Provider,
global_config: &StreamCheckConfig,
) -> StreamCheckConfig {
let test_config = provider
.meta
.as_ref()
.and_then(|m| m.test_config.as_ref())
.filter(|tc| tc.enabled);
match test_config {
Some(tc) => StreamCheckConfig {
timeout_secs: tc.timeout_secs.unwrap_or(global_config.timeout_secs),
max_retries: tc.max_retries.unwrap_or(global_config.max_retries),
degraded_threshold_ms: tc
.degraded_threshold_ms
.unwrap_or(global_config.degraded_threshold_ms),
claude_model: tc
.test_model
.clone()
.unwrap_or_else(|| global_config.claude_model.clone()),
codex_model: tc
.test_model
.clone()
.unwrap_or_else(|| global_config.codex_model.clone()),
gemini_model: tc
.test_model
.clone()
.unwrap_or_else(|| global_config.gemini_model.clone()),
test_prompt: tc
.test_prompt
.clone()
.unwrap_or_else(|| global_config.test_prompt.clone()),
},
None => global_config.clone(),
}
}
/// 单次流式检查
async fn check_once(
app_type: &AppType,
provider: &Provider,
config: &StreamCheckConfig,
auth_override: Option<AuthInfo>,
) -> Result<StreamCheckResult, AppError> {
let start = Instant::now();
let adapter = get_adapter(app_type);
let base_url = adapter
.extract_base_url(provider)
.map_err(|e| AppError::Message(format!("Failed to extract base_url: {e}")))?;
let auth = auth_override
.or_else(|| adapter.extract_auth(provider))
.ok_or_else(|| AppError::Message("API Key not found".to_string()))?;
// 获取 HTTP 客户端:优先使用供应商单独代理配置,否则使用全局客户端
let proxy_config = provider.meta.as_ref().and_then(|m| m.proxy_config.as_ref());
let client = crate::proxy::http_client::get_for_provider(proxy_config);
let request_timeout = std::time::Duration::from_secs(config.timeout_secs);
let model_to_test = Self::resolve_test_model(app_type, provider, config);
let test_prompt = &config.test_prompt;
let result = match app_type {
AppType::Claude => {
Self::check_claude_stream(
&client,
&base_url,
&auth,
&model_to_test,
test_prompt,
request_timeout,
provider,
)
.await
}
AppType::Codex => {
Self::check_codex_stream(
&client,
&base_url,
&auth,
&model_to_test,
test_prompt,
request_timeout,
)
.await
}
AppType::Gemini => {
Self::check_gemini_stream(
&client,
&base_url,
&auth,
&model_to_test,
test_prompt,
request_timeout,
)
.await
}
AppType::OpenCode => {
// OpenCode doesn't support stream check yet
return Err(AppError::localized(
"opencode_no_stream_check",
"OpenCode 暂不支持健康检查",
"OpenCode does not support health check yet",
));
}
AppType::OpenClaw => {
// OpenClaw doesn't support stream check yet
return Err(AppError::localized(
"openclaw_no_stream_check",
"OpenClaw 暂不支持健康检查",
"OpenClaw does not support health check yet",
));
}
};
let response_time = start.elapsed().as_millis() as u64;
let tested_at = chrono::Utc::now().timestamp();
match result {
Ok((status_code, model)) => {
let health_status =
Self::determine_status(response_time, config.degraded_threshold_ms);
Ok(StreamCheckResult {
status: health_status,
success: true,
message: "Check succeeded".to_string(),
response_time_ms: Some(response_time),
http_status: Some(status_code),
model_used: model,
tested_at,
retry_count: 0,
})
}
Err(e) => Ok(StreamCheckResult {
status: HealthStatus::Failed,
success: false,
message: e.to_string(),
response_time_ms: Some(response_time),
http_status: None,
model_used: String::new(),
tested_at,
retry_count: 0,
}),
}
}
/// Claude 流式检查
///
/// 根据供应商的 api_format 选择请求格式:
/// - "anthropic" (默认): Anthropic Messages API (/v1/messages)
/// - "openai_chat": OpenAI Chat Completions API (/v1/chat/completions)
async fn check_claude_stream(
client: &Client,
base_url: &str,
auth: &AuthInfo,
model: &str,
test_prompt: &str,
timeout: std::time::Duration,
provider: &Provider,
) -> Result<(u16, String), AppError> {
let base = base_url.trim_end_matches('/');
let is_github_copilot = auth.strategy == AuthStrategy::GitHubCopilot;
// Detect api_format: meta.api_format > settings_config.api_format > default "anthropic"
let api_format = provider
.meta
.as_ref()
.and_then(|m| m.api_format.as_deref())
.or_else(|| {
provider
.settings_config
.get("api_format")
.and_then(|v| v.as_str())
})
.unwrap_or("anthropic");
let is_openai_chat = is_github_copilot || api_format == "openai_chat";
// URL:
// - GitHub Copilot: /chat/completions (no /v1 prefix)
// - OpenAI-compatible: /v1/chat/completions
// - Anthropic native: /v1/messages?beta=true
let url = if is_github_copilot {
format!("{base}/chat/completions")
} else if is_openai_chat {
if base.ends_with("/v1") {
format!("{base}/chat/completions")
} else {
format!("{base}/v1/chat/completions")
}
} else {
// ?beta=true is required by some relay services to verify request origin
if base.ends_with("/v1") {
format!("{base}/messages?beta=true")
} else {
format!("{base}/v1/messages?beta=true")
}
};
// Build from Anthropic-native shape first, then convert for OpenAI-compatible targets.
let anthropic_body = json!({
"model": model,
"max_tokens": 1,
"messages": [{ "role": "user", "content": test_prompt }],
"stream": true
});
let body = if is_openai_chat {
anthropic_to_openai(anthropic_body, Some(&provider.id))
.map_err(|e| AppError::Message(format!("Failed to build test request: {e}")))?
} else {
anthropic_body
};
let mut request_builder = client.post(&url);
if is_github_copilot {
request_builder = request_builder
.header("authorization", format!("Bearer {}", auth.api_key))
.header("content-type", "application/json")
.header("accept", "text/event-stream")
.header("accept-encoding", "identity")
.header("user-agent", copilot_auth::COPILOT_USER_AGENT)
.header("editor-version", copilot_auth::COPILOT_EDITOR_VERSION)
.header(
"editor-plugin-version",
copilot_auth::COPILOT_PLUGIN_VERSION,
)
.header(
"copilot-integration-id",
copilot_auth::COPILOT_INTEGRATION_ID,
)
.header("x-github-api-version", copilot_auth::COPILOT_API_VERSION)
.header("openai-intent", "conversation-panel");
} else if is_openai_chat {
// OpenAI-compatible: Bearer auth + standard headers only
request_builder = request_builder
.header("authorization", format!("Bearer {}", auth.api_key))
.header("content-type", "application/json")
.header("accept", "text/event-stream")
.header("accept-encoding", "identity");
} else {
// Anthropic native: full Claude CLI headers
let os_name = Self::get_os_name();
let arch_name = Self::get_arch_name();
request_builder =
request_builder.header("authorization", format!("Bearer {}", auth.api_key));
// Only Anthropic official strategy adds x-api-key
if auth.strategy == AuthStrategy::Anthropic {
request_builder = request_builder.header("x-api-key", &auth.api_key);
}
request_builder = request_builder
// Anthropic required headers
.header("anthropic-version", "2023-06-01")
.header(
"anthropic-beta",
"claude-code-20250219,interleaved-thinking-2025-05-14",
)
.header("anthropic-dangerous-direct-browser-access", "true")
// Content type headers
.header("content-type", "application/json")
.header("accept", "application/json")
.header("accept-encoding", "identity")
.header("accept-language", "*")
// Client identification headers
.header("user-agent", "claude-cli/2.1.2 (external, cli)")
.header("x-app", "cli")
// x-stainless SDK headers (dynamic local system info)
.header("x-stainless-lang", "js")
.header("x-stainless-package-version", "0.70.0")
.header("x-stainless-os", os_name)
.header("x-stainless-arch", arch_name)
.header("x-stainless-runtime", "node")
.header("x-stainless-runtime-version", "v22.20.0")
.header("x-stainless-retry-count", "0")
.header("x-stainless-timeout", "600")
// Other headers
.header("sec-fetch-mode", "cors")
.header("connection", "keep-alive");
}
let response = request_builder
.timeout(timeout)
.json(&body)
.send()
.await
.map_err(Self::map_request_error)?;
let status = response.status().as_u16();
if !response.status().is_success() {
let error_text = response.text().await.unwrap_or_default();
return Err(AppError::Message(format!("HTTP {status}: {error_text}")));
}
// 流式读取:只需首个 chunk
let mut stream = response.bytes_stream();
if let Some(chunk) = stream.next().await {
match chunk {
Ok(_) => Ok((status, model.to_string())),
Err(e) => Err(AppError::Message(format!("Stream read failed: {e}"))),
}
} else {
Err(AppError::Message("No response data received".to_string()))
}
}
/// Codex 流式检查
///
/// 严格按照 Codex CLI 真实请求格式构建请求 (Responses API)
async fn check_codex_stream(
client: &Client,
base_url: &str,
auth: &AuthInfo,
model: &str,
test_prompt: &str,
timeout: std::time::Duration,
) -> Result<(u16, String), AppError> {
let base = base_url.trim_end_matches('/');
// Codex CLI 的 base_url 语义:base_url 是 API base(可能已包含 /v1 或其他自定义前缀),
// Responses 端点为 `/responses`。
//
// 兼容:如果 base_url 配成纯 origin(如 https://api.openai.com),则需要补 `/v1`。
// 优先尝试 `{base}/responses`,若 404 再回退 `{base}/v1/responses`。
let urls = if base.ends_with("/v1") {
vec![format!("{base}/responses")]
} else {
vec![format!("{base}/responses"), format!("{base}/v1/responses")]
};
// 解析模型名和推理等级 (支持 model@level 或 model#level 格式)
let (actual_model, reasoning_effort) = Self::parse_model_with_effort(model);
// 获取本地系统信息
let os_name = Self::get_os_name();
let arch_name = Self::get_arch_name();
// Responses API 请求体格式 (input 必须是数组)
let mut body = json!({
"model": actual_model,
"input": [{ "role": "user", "content": test_prompt }],
"stream": true
});
// 如果是推理模型,添加 reasoning_effort
if let Some(effort) = reasoning_effort {
body["reasoning"] = json!({ "effort": effort });
}
for (i, url) in urls.iter().enumerate() {
// 严格按照 Codex CLI 请求格式设置 headers
let response = client
.post(url)
.header("authorization", format!("Bearer {}", auth.api_key))
.header("content-type", "application/json")
.header("accept", "text/event-stream")
.header("accept-encoding", "identity")
.header(
"user-agent",
format!("codex_cli_rs/0.80.0 ({os_name} 15.7.2; {arch_name}) Terminal"),
)
.header("originator", "codex_cli_rs")
.timeout(timeout)
.json(&body)
.send()
.await
.map_err(Self::map_request_error)?;
let status = response.status().as_u16();
if !response.status().is_success() {
let error_text = response.text().await.unwrap_or_default();
// 回退策略:仅当首选 URL 返回 404 时尝试下一个
if i == 0 && status == 404 && urls.len() > 1 {
continue;
}
return Err(AppError::Message(format!("HTTP {status}: {error_text}")));
}
let mut stream = response.bytes_stream();
if let Some(chunk) = stream.next().await {
match chunk {
Ok(_) => return Ok((status, actual_model)),
Err(e) => return Err(AppError::Message(format!("Stream read failed: {e}"))),
}
}
return Err(AppError::Message("No response data received".to_string()));
}
Err(AppError::Message(
"No valid Codex responses endpoint found".to_string(),
))
}
/// Gemini 流式检查
///
/// 使用 Gemini 原生 API 格式 (streamGenerateContent)
async fn check_gemini_stream(
client: &Client,
base_url: &str,
auth: &AuthInfo,
model: &str,
test_prompt: &str,
timeout: std::time::Duration,
) -> Result<(u16, String), AppError> {
let base = base_url.trim_end_matches('/');
// Gemini 原生 API: /v1beta/models/{model}:streamGenerateContent?alt=sse
// 智能处理 /v1beta 路径:如果 base_url 不包含版本路径,则添加 /v1beta
// alt=sse 参数使 API 返回 SSE 格式(text/event-stream)而非 JSON 数组
let url = if base.contains("/v1beta") || base.contains("/v1/") {
format!("{base}/models/{model}:streamGenerateContent?alt=sse")
} else {
format!("{base}/v1beta/models/{model}:streamGenerateContent?alt=sse")
};
// Gemini 原生请求体格式
let body = json!({
"contents": [{
"role": "user",
"parts": [{ "text": test_prompt }]
}]
});
let response = client
.post(&url)
.header("x-goog-api-key", &auth.api_key)
.header("Content-Type", "application/json")
.header("Accept", "text/event-stream")
.timeout(timeout)
.json(&body)
.send()
.await
.map_err(Self::map_request_error)?;
let status = response.status().as_u16();
if !response.status().is_success() {
let error_text = response.text().await.unwrap_or_default();
return Err(AppError::Message(format!("HTTP {status}: {error_text}")));
}
let mut stream = response.bytes_stream();
if let Some(chunk) = stream.next().await {
match chunk {
Ok(_) => Ok((status, model.to_string())),
Err(e) => Err(AppError::Message(format!("Stream read failed: {e}"))),
}
} else {
Err(AppError::Message("No response data received".to_string()))
}
}
fn determine_status(latency_ms: u64, threshold: u64) -> HealthStatus {
if latency_ms <= threshold {
HealthStatus::Operational
} else {
HealthStatus::Degraded
}
}
/// 解析模型名和推理等级 (支持 model@level 或 model#level 格式)
/// 返回 (实际模型名, Option<推理等级>)
fn parse_model_with_effort(model: &str) -> (String, Option<String>) {
if let Some(pos) = model.find('@').or_else(|| model.find('#')) {
let actual_model = model[..pos].to_string();
let effort = model[pos + 1..].to_string();
if !effort.is_empty() {
return (actual_model, Some(effort));
}
}
(model.to_string(), None)
}
fn should_retry(msg: &str) -> bool {
let lower = msg.to_lowercase();
lower.contains("timeout") || lower.contains("abort") || lower.contains("timed out")
}
fn map_request_error(e: reqwest::Error) -> AppError {
if e.is_timeout() {
AppError::Message("Request timeout".to_string())
} else if e.is_connect() {
AppError::Message(format!("Connection failed: {e}"))
} else {
AppError::Message(e.to_string())
}
}
fn resolve_test_model(
app_type: &AppType,
provider: &Provider,
config: &StreamCheckConfig,
) -> String {
match app_type {
AppType::Claude => Self::extract_env_model(provider, "ANTHROPIC_MODEL")
.unwrap_or_else(|| config.claude_model.clone()),
AppType::Codex => {
Self::extract_codex_model(provider).unwrap_or_else(|| config.codex_model.clone())
}
AppType::Gemini => Self::extract_env_model(provider, "GEMINI_MODEL")
.unwrap_or_else(|| config.gemini_model.clone()),
AppType::OpenCode => {
// OpenCode uses models map in settings_config
// Try to extract first model from the models object
Self::extract_opencode_model(provider).unwrap_or_else(|| "gpt-4o".to_string())
}
AppType::OpenClaw => {
// OpenClaw uses models array in settings_config
// Try to extract first model from the models array
Self::extract_openclaw_model(provider).unwrap_or_else(|| "gpt-4o".to_string())
}
}
}
fn extract_opencode_model(provider: &Provider) -> Option<String> {
let models = provider
.settings_config
.get("models")
.and_then(|m| m.as_object())?;
// Return the first model ID from the models map
models.keys().next().map(|s| s.to_string())
}
fn extract_openclaw_model(provider: &Provider) -> Option<String> {
// OpenClaw uses models array: [{ "id": "model-id", "name": "Model Name" }]
let models = provider
.settings_config
.get("models")
.and_then(|m| m.as_array())?;
// Return the first model ID from the models array
models
.first()
.and_then(|m| m.get("id"))
.and_then(|id| id.as_str())
.map(|s| s.to_string())
}
fn extract_env_model(provider: &Provider, key: &str) -> Option<String> {
provider
.settings_config
.get("env")
.and_then(|env| env.get(key))
.and_then(|value| value.as_str())
.map(|value| value.trim().to_string())
.filter(|value| !value.is_empty())
}
fn extract_codex_model(provider: &Provider) -> Option<String> {
let config_text = provider
.settings_config
.get("config")
.and_then(|value| value.as_str())?;
if config_text.trim().is_empty() {
return None;
}
let re = Regex::new(r#"^model\s*=\s*["']([^"']+)["']"#).ok()?;
re.captures(config_text)
.and_then(|caps| caps.get(1))
.map(|m| m.as_str().trim().to_string())
.filter(|value| !value.is_empty())
}
/// 获取操作系统名称(映射为 Claude CLI 使用的格式)
fn get_os_name() -> &'static str {
match std::env::consts::OS {
"macos" => "MacOS",
"linux" => "Linux",
"windows" => "Windows",
other => other,
}
}
/// 获取 CPU 架构名称(映射为 Claude CLI 使用的格式)
fn get_arch_name() -> &'static str {
match std::env::consts::ARCH {
"aarch64" => "arm64",
"x86_64" => "x86_64",
"x86" => "x86",
other => other,
}
}
#[cfg(test)]
fn resolve_claude_stream_url(
base_url: &str,
auth_strategy: AuthStrategy,
api_format: &str,
) -> String {
let base = base_url.trim_end_matches('/');
let is_github_copilot = auth_strategy == AuthStrategy::GitHubCopilot;
let is_openai_chat = is_github_copilot || api_format == "openai_chat";
if is_github_copilot {
format!("{base}/chat/completions")
} else if is_openai_chat {
if base.ends_with("/v1") {
format!("{base}/chat/completions")
} else {
format!("{base}/v1/chat/completions")
}
} else if base.ends_with("/v1") {
format!("{base}/messages?beta=true")
} else {
format!("{base}/v1/messages?beta=true")
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_determine_status() {
assert_eq!(
StreamCheckService::determine_status(3000, 6000),
HealthStatus::Operational
);
assert_eq!(
StreamCheckService::determine_status(6000, 6000),
HealthStatus::Operational
);
assert_eq!(
StreamCheckService::determine_status(6001, 6000),
HealthStatus::Degraded
);
}
#[test]
fn test_should_retry() {
assert!(StreamCheckService::should_retry("Request timeout"));
assert!(StreamCheckService::should_retry("request timed out"));
assert!(StreamCheckService::should_retry("connection abort"));
assert!(!StreamCheckService::should_retry("API Key invalid"));
}
#[test]
fn test_default_config() {
let config = StreamCheckConfig::default();
assert_eq!(config.timeout_secs, 45);
assert_eq!(config.max_retries, 2);
assert_eq!(config.degraded_threshold_ms, 6000);
}
#[test]
fn test_parse_model_with_effort() {
// 带 @ 分隔符
let (model, effort) = StreamCheckService::parse_model_with_effort("gpt-5.1-codex@low");
assert_eq!(model, "gpt-5.1-codex");
assert_eq!(effort, Some("low".to_string()));
// 带 # 分隔符
let (model, effort) = StreamCheckService::parse_model_with_effort("o1-preview#high");
assert_eq!(model, "o1-preview");
assert_eq!(effort, Some("high".to_string()));
// 无分隔符
let (model, effort) = StreamCheckService::parse_model_with_effort("gpt-4o-mini");
assert_eq!(model, "gpt-4o-mini");
assert_eq!(effort, None);
}
#[test]
fn test_get_os_name() {
let os_name = StreamCheckService::get_os_name();
// 确保返回非空字符串
assert!(!os_name.is_empty());
// 在 macOS 上应该返回 "MacOS"
#[cfg(target_os = "macos")]
assert_eq!(os_name, "MacOS");
// 在 Linux 上应该返回 "Linux"
#[cfg(target_os = "linux")]
assert_eq!(os_name, "Linux");
// 在 Windows 上应该返回 "Windows"
#[cfg(target_os = "windows")]
assert_eq!(os_name, "Windows");
}
#[test]
fn test_get_arch_name() {
let arch_name = StreamCheckService::get_arch_name();
// 确保返回非空字符串
assert!(!arch_name.is_empty());
// 在 ARM64 上应该返回 "arm64"
#[cfg(target_arch = "aarch64")]
assert_eq!(arch_name, "arm64");
// 在 x86_64 上应该返回 "x86_64"
#[cfg(target_arch = "x86_64")]
assert_eq!(arch_name, "x86_64");
}
#[test]
fn test_auth_strategy_imports() {
// 验证 AuthStrategy 枚举可以正常使用
let anthropic = AuthStrategy::Anthropic;
let claude_auth = AuthStrategy::ClaudeAuth;
let bearer = AuthStrategy::Bearer;
// 验证不同的策略是不相等的
assert_ne!(anthropic, claude_auth);
assert_ne!(anthropic, bearer);
assert_ne!(claude_auth, bearer);
// 验证相同策略是相等的
assert_eq!(anthropic, AuthStrategy::Anthropic);
assert_eq!(claude_auth, AuthStrategy::ClaudeAuth);
assert_eq!(bearer, AuthStrategy::Bearer);
}
#[test]
fn test_resolve_claude_stream_url_for_github_copilot() {
let url = StreamCheckService::resolve_claude_stream_url(
"https://api.githubcopilot.com",
AuthStrategy::GitHubCopilot,
"anthropic",
);
assert_eq!(url, "https://api.githubcopilot.com/chat/completions");
}
#[test]
fn test_resolve_claude_stream_url_for_openai_chat() {
let url = StreamCheckService::resolve_claude_stream_url(
"https://example.com/v1",
AuthStrategy::Bearer,
"openai_chat",
);
assert_eq!(url, "https://example.com/v1/chat/completions");
}
#[test]
fn test_resolve_claude_stream_url_for_anthropic() {
let url = StreamCheckService::resolve_claude_stream_url(
"https://api.anthropic.com",
AuthStrategy::Anthropic,
"anthropic",
);
assert_eq!(url, "https://api.anthropic.com/v1/messages?beta=true");
}
}