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extract::{Request, State},
middleware::Next,
response::Response,
body::Body,
};
use std::time::Instant;
use crate::proxy::server::AppState;
use crate::proxy::monitor::ProxyRequestLog;
use serde_json::Value;
use crate::proxy::middleware::auth::UserTokenIdentity;
use futures::StreamExt;
const MAX_REQUEST_LOG_SIZE: usize = 100 * 1024 * 1024; // 100MB
const MAX_RESPONSE_LOG_SIZE: usize = 100 * 1024 * 1024; // 100MB for image responses
/// Helper function to record User Token usage
fn record_user_token_usage(
user_token_identity: &Option<UserTokenIdentity>,
log: &ProxyRequestLog,
user_agent: Option<String>,
) {
if let Some(identity) = user_token_identity {
let _ = crate::modules::user_token_db::record_token_usage_and_ip(
&identity.token_id,
log.client_ip.as_deref().unwrap_or("127.0.0.1"),
log.model.as_deref().unwrap_or("unknown"),
log.input_tokens.unwrap_or(0) as i32,
log.output_tokens.unwrap_or(0) as i32,
log.status as u16,
user_agent,
);
}
}
pub async fn monitor_middleware(
State(state): State<AppState>,
request: Request,
next: Next,
) -> Response {
let _logging_enabled = state.monitor.is_enabled();
let method = request.method().to_string();
let uri = request.uri().to_string();
if uri.contains("event_logging") || uri.contains("/api/") || uri.starts_with("/internal/") {
return next.run(request).await;
}
let start = Instant::now();
// Extract client IP from headers (X-Forwarded-For or X-Real-IP)
// IMPORTANT: Extract from Request headers, not Response headers (since we want the client's IP)
// Note: We need to do this BEFORE consuming the request body if possible, or extract it from the original request
let client_ip = request
.headers()
.get("x-forwarded-for")
.and_then(|v| v.to_str().ok())
.map(|s| s.split(',').next().unwrap_or(s).trim().to_string())
.or_else(|| {
request
.headers()
.get("x-real-ip")
.and_then(|v| v.to_str().ok())
.map(|s| s.to_string())
});
let user_agent = request
.headers()
.get("user-agent")
.and_then(|v| v.to_str().ok())
.map(|s| s.to_string());
let mut model = if uri.contains("/v1beta/models/") {
uri.split("/v1beta/models/")
.nth(1)
.and_then(|s| s.split(':').next())
.map(|s| s.to_string())
} else {
None
};
let request_body_str;
// [FIX] 从请求 extensions 提取 UserTokenIdentity (由 Auth 中间件注入)
// 必须在处理 request body 之前提取,因为 into_parts() 后需要保留这个值
let user_token_identity = request.extensions().get::<UserTokenIdentity>().cloned();
let request = if method == "POST" {
let (parts, body) = request.into_parts();
match axum::body::to_bytes(body, MAX_REQUEST_LOG_SIZE).await {
Ok(bytes) => {
if model.is_none() {
model = serde_json::from_slice::<Value>(&bytes).ok().and_then(|v|
v.get("model").and_then(|m| m.as_str()).map(|s| s.to_string())
);
}
request_body_str = if let Ok(s) = std::str::from_utf8(&bytes) {
Some(s.to_string())
} else {
Some("[Binary Request Data]".to_string())
};
Request::from_parts(parts, Body::from(bytes))
}
Err(_) => {
request_body_str = None;
Request::from_parts(parts, Body::empty())
}
}
} else {
request_body_str = None;
request
};
let response = next.run(request).await;
// user_token_identity 已在上面从请求 extensions 中提取
let duration = start.elapsed().as_millis() as u64;
let status = response.status().as_u16();
let content_type = response.headers().get("content-type")
.and_then(|v| v.to_str().ok())
.unwrap_or("")
.to_string();
// Extract account email from X-Account-Email header if present
let account_email = response
.headers()
.get("X-Account-Email")
.and_then(|v| v.to_str().ok())
.map(|s| s.to_string());
// Extract mapped model from X-Mapped-Model header if present
let mapped_model = response
.headers()
.get("X-Mapped-Model")
.and_then(|v| v.to_str().ok())
.map(|s| s.to_string());
// Determine protocol from URL path
let protocol = if uri.contains("/v1/messages") {
Some("anthropic".to_string())
} else if uri.contains("/v1beta/models") {
Some("gemini".to_string())
} else if uri.starts_with("/v1/") {
Some("openai".to_string())
} else {
None
};
// Client IP has been extracted at the beginning of the function
// Extract username from UserTokenIdentity if present
let username = user_token_identity.as_ref().map(|identity| identity.username.clone());
let monitor = state.monitor.clone();
let mut log = ProxyRequestLog {
id: uuid::Uuid::new_v4().to_string(),
timestamp: chrono::Utc::now().timestamp_millis(),
method,
url: uri,
status,
duration,
model,
mapped_model,
account_email,
client_ip,
error: None,
request_body: request_body_str,
response_body: None,
input_tokens: None,
output_tokens: None,
protocol,
username,
};
if content_type.contains("text/event-stream") {
let (parts, body) = response.into_parts();
let mut stream = body.into_data_stream();
let (tx, rx) = tokio::sync::mpsc::channel(64);
tokio::spawn(async move {
let mut all_stream_data = Vec::new();
let mut last_few_bytes = Vec::new();
while let Some(chunk_res) = stream.next().await {
if let Ok(chunk) = chunk_res {
all_stream_data.extend_from_slice(&chunk);
if chunk.len() > 8192 {
last_few_bytes = chunk.slice(chunk.len()-8192..).to_vec();
} else {
last_few_bytes.extend_from_slice(&chunk);
if last_few_bytes.len() > 8192 {
last_few_bytes.drain(0..last_few_bytes.len()-8192);
}
}
let _ = tx.send(Ok::<_, axum::Error>(chunk)).await;
} else if let Err(e) = chunk_res {
let _ = tx.send(Err(axum::Error::new(e))).await;
}
}
// Parse and consolidate stream data into readable format
if let Ok(full_response) = std::str::from_utf8(&all_stream_data) {
let mut thinking_content = String::new();
let mut response_content = String::new();
let mut thinking_signature = String::new();
let mut tool_calls: Vec<Value> = Vec::new();
for line in full_response.lines() {
if !line.starts_with("data: ") {
continue;
}
let json_str = line.trim_start_matches("data: ").trim();
if json_str == "[DONE]" {
continue;
}
if let Ok(json) = serde_json::from_str::<Value>(json_str) {
// OpenAI format: choices[0].delta.content / reasoning_content / tool_calls
if let Some(choices) = json.get("choices").and_then(|c| c.as_array()) {
for choice in choices {
if let Some(delta) = choice.get("delta") {
// Thinking/reasoning content
if let Some(thinking) = delta.get("reasoning_content").and_then(|v| v.as_str()) {
thinking_content.push_str(thinking);
}
// Main response content
if let Some(content) = delta.get("content").and_then(|v| v.as_str()) {
response_content.push_str(content);
}
// Tool calls
if let Some(delta_tool_calls) = delta.get("tool_calls").and_then(|t| t.as_array()) {
for tc in delta_tool_calls {
if let Some(index) = tc.get("index").and_then(|i| i.as_u64()) {
let idx = index as usize;
while tool_calls.len() <= idx {
tool_calls.push(serde_json::json!({
"id": "",
"type": "function",
"function": { "name": "", "arguments": "" }
}));
}
let current_tc = &mut tool_calls[idx];
if let Some(id) = tc.get("id").and_then(|v| v.as_str()) {
current_tc["id"] = Value::String(id.to_string());
}
if let Some(func) = tc.get("function") {
if let Some(name) = func.get("name").and_then(|v| v.as_str()) {
current_tc["function"]["name"] = Value::String(name.to_string());
}
if let Some(args) = func.get("arguments").and_then(|v| v.as_str()) {
let old_args = current_tc["function"]["arguments"].as_str().unwrap_or("");
current_tc["function"]["arguments"] = Value::String(format!("{}{}", old_args, args));
}
}
}
}
}
}
}
}
// Claude/Anthropic format: content_block_start, content_block_delta, etc.
let msg_type = json.get("type").and_then(|t| t.as_str());
match msg_type {
Some("content_block_start") => {
if let (Some(index), Some(block)) = (json.get("index").and_then(|i| i.as_u64()), json.get("content_block")) {
let idx = index as usize;
if block.get("type").and_then(|t| t.as_str()) == Some("tool_use") {
let id = block.get("id").and_then(|v| v.as_str()).unwrap_or("");
let name = block.get("name").and_then(|v| v.as_str()).unwrap_or("");
while tool_calls.len() <= idx {
tool_calls.push(Value::Null);
}
tool_calls[idx] = serde_json::json!({
"id": id,
"type": "function",
"function": { "name": name, "arguments": "" }
});
}
}
}
Some("content_block_delta") => {
if let (Some(index), Some(delta)) = (json.get("index").and_then(|i| i.as_u64()), json.get("delta")) {
let idx = index as usize;
// Tool use input delta
if let Some(delta_json) = delta.get("input_json_delta").and_then(|v| v.as_str()) {
if idx < tool_calls.len() && !tool_calls[idx].is_null() {
let old_args = tool_calls[idx]["function"]["arguments"].as_str().unwrap_or("");
tool_calls[idx]["function"]["arguments"] = Value::String(format!("{}{}", old_args, delta_json));
}
}
// Legacy/Native thinking block
if let Some(thinking) = delta.get("thinking").and_then(|v| v.as_str()) {
thinking_content.push_str(thinking);
}
// Text content
if let Some(text) = delta.get("text").and_then(|v| v.as_str()) {
response_content.push_str(text);
}
}
}
Some("message_delta") => {
if let Some(delta) = json.get("delta") {
if let Some(usage) = delta.get("usage") {
if let Some(output_tokens) = usage.get("output_tokens").and_then(|v| v.as_u64()) {
log.output_tokens = Some(output_tokens as u32);
}
}
}
}
_ => {}
}
// Legacy Claude delta (for older implementations or simplified streams)
if msg_type.is_none() {
if let Some(delta) = json.get("delta") {
// Thinking block
if let Some(thinking) = delta.get("thinking").and_then(|v| v.as_str()) {
thinking_content.push_str(thinking);
}
// Thinking signature
if let Some(sig) = delta.get("signature").and_then(|v| v.as_str()) {
thinking_signature = sig.to_string();
}
// Text content
if let Some(text) = delta.get("text").and_then(|v| v.as_str()) {
response_content.push_str(text);
}
}
}
// Token usage extraction
if let Some(usage) = json.get("usage")
.or(json.get("usageMetadata"))
.or(json.get("response").and_then(|r| r.get("usage")))
{
log.input_tokens = usage.get("prompt_tokens")
.or(usage.get("input_tokens"))
.or(usage.get("promptTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
log.output_tokens = usage.get("completion_tokens")
.or(usage.get("output_tokens"))
.or(usage.get("candidatesTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
if log.input_tokens.is_none() && log.output_tokens.is_none() {
log.output_tokens = usage.get("total_tokens")
.or(usage.get("totalTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
}
}
}
}
// Build consolidated response object
let mut consolidated = serde_json::Map::new();
if !thinking_content.is_empty() {
consolidated.insert("thinking".to_string(), Value::String(thinking_content));
}
if !thinking_signature.is_empty() {
consolidated.insert("thinking_signature".to_string(), Value::String(thinking_signature));
}
if !response_content.is_empty() {
consolidated.insert("content".to_string(), Value::String(response_content));
}
if !tool_calls.is_empty() {
let clean_tool_calls: Vec<Value> = tool_calls.into_iter().filter(|v| !v.is_null()).collect();
if !clean_tool_calls.is_empty() {
consolidated.insert("tool_calls".to_string(), Value::Array(clean_tool_calls));
}
}
if let Some(input) = log.input_tokens {
consolidated.insert("input_tokens".to_string(), Value::Number(input.into()));
}
if let Some(output) = log.output_tokens {
consolidated.insert("output_tokens".to_string(), Value::Number(output.into()));
}
if consolidated.is_empty() {
// Fallback: store raw SSE data if parsing failed
log.response_body = Some(full_response.to_string());
} else {
log.response_body = Some(serde_json::to_string_pretty(&Value::Object(consolidated)).unwrap_or_else(|_| full_response.to_string()));
}
} else {
log.response_body = Some(format!("[Binary Stream Data: {} bytes]", all_stream_data.len()));
}
// Fallback token extraction from tail if not already extracted
if log.input_tokens.is_none() && log.output_tokens.is_none() {
if let Ok(full_tail) = std::str::from_utf8(&last_few_bytes) {
for line in full_tail.lines().rev() {
if line.starts_with("data: ") && (line.contains("\"usage\"") || line.contains("\"usageMetadata\"")) {
let json_str = line.trim_start_matches("data: ").trim();
if let Ok(json) = serde_json::from_str::<Value>(json_str) {
if let Some(usage) = json.get("usage")
.or(json.get("usageMetadata"))
.or(json.get("response").and_then(|r| r.get("usage")))
{
log.input_tokens = usage.get("prompt_tokens")
.or(usage.get("input_tokens"))
.or(usage.get("promptTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
log.output_tokens = usage.get("completion_tokens")
.or(usage.get("output_tokens"))
.or(usage.get("candidatesTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
break;
}
}
}
}
}
}
if log.status >= 400 {
log.error = Some("Stream Error or Failed".to_string());
}
// Record User Token Usage
record_user_token_usage(&user_token_identity, &log, user_agent.clone());
monitor.log_request(log).await;
});
Response::from_parts(parts, Body::from_stream(tokio_stream::wrappers::ReceiverStream::new(rx)))
} else if content_type.contains("application/json") || content_type.contains("text/") {
let (parts, body) = response.into_parts();
match axum::body::to_bytes(body, MAX_RESPONSE_LOG_SIZE).await {
Ok(bytes) => {
if let Ok(s) = std::str::from_utf8(&bytes) {
if let Ok(json) = serde_json::from_str::<Value>(&s) {
// 支持 OpenAI "usage" 或 Gemini "usageMetadata"
if let Some(usage) = json.get("usage").or(json.get("usageMetadata")) {
log.input_tokens = usage.get("prompt_tokens")
.or(usage.get("input_tokens"))
.or(usage.get("promptTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
log.output_tokens = usage.get("completion_tokens")
.or(usage.get("output_tokens"))
.or(usage.get("candidatesTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
if log.input_tokens.is_none() && log.output_tokens.is_none() {
log.output_tokens = usage.get("total_tokens")
.or(usage.get("totalTokenCount"))
.and_then(|v| v.as_u64())
.map(|v| v as u32);
}
}
}
log.response_body = Some(s.to_string());
} else {
log.response_body = Some("[Binary Response Data]".to_string());
}
if log.status >= 400 {
log.error = log.response_body.clone();
}
// Record User Token Usage
record_user_token_usage(&user_token_identity, &log, user_agent.clone());
monitor.log_request(log).await;
Response::from_parts(parts, Body::from(bytes))
}
Err(_) => {
log.response_body = Some("[Response too large (>100MB)]".to_string());
// Record User Token Usage (even if too large)
record_user_token_usage(&user_token_identity, &log, user_agent.clone());
monitor.log_request(log).await;
Response::from_parts(parts, Body::empty())
}
}
} else {
log.response_body = Some(format!("[{}]", content_type));
// Record User Token Usage
record_user_token_usage(&user_token_identity, &log, user_agent);
monitor.log_request(log).await;
response
}
}
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