feat: add workflow studio and postgres support

This commit is contained in:
boos
2026-05-25 16:03:07 +08:00
parent 7cdb02ef1d
commit cb35d5fc6e
96 changed files with 12414 additions and 15548 deletions
+371 -93
View File
@@ -1,5 +1,6 @@
use crate::{
auth::jwt::validate_jwt,
db::models::background_task::BackgroundTask,
db::models::{downstream_api_key::DownstreamApiKey, user::User},
error::{AppError, AppResult},
AppState,
@@ -12,6 +13,7 @@ use axum::{
};
use serde::Deserialize;
use serde_json::{json, Value};
use sqlx::Row;
pub fn routes() -> Router<AppState> {
Router::new()
@@ -20,6 +22,305 @@ pub fn routes() -> Router<AppState> {
.route("/v1/user/api-keys/{id}", delete(delete_api_key))
.route("/api/user/logs", get(get_user_logs))
.route("/api/user/summary", get(get_user_summary))
.route(
"/api/user/models/marketplace",
get(get_user_models_marketplace),
)
}
async fn user_picture_log_items(state: &AppState, user_id: i64) -> AppResult<Vec<Value>> {
let tasks: Vec<BackgroundTask> = sqlx::query_as(
"SELECT *
FROM background_tasks
WHERE task_type = ?
AND json_extract(result_json, '$.userId') = ?
ORDER BY created_at DESC, id DESC",
)
.bind("picture-agent-generation")
.bind(user_id)
.fetch_all(&*state.db)
.await?;
Ok(tasks
.into_iter()
.map(|task| {
let result = task
.result_json
.as_deref()
.and_then(|raw| serde_json::from_str::<Value>(raw).ok())
.unwrap_or_else(|| json!({}));
let status = match task.status.as_str() {
"succeeded" => "success",
"failed" => "failed",
"cancelled" => "cancelled",
"pending" => "pending",
_ => "running",
};
json!({
"id": task.id,
"route_id": Value::Null,
"channel_id": Value::Null,
"account_id": Value::Null,
"downstream_api_key_id": Value::Null,
"site_id": Value::Null,
"username": Value::Null,
"site_name": Value::Null,
"site_url": Value::Null,
"downstream_key_name": result.get("keyName").cloned().unwrap_or(Value::Null),
"downstream_key_group_name": Value::Null,
"downstream_key_tags": Value::Null,
"model_requested": result.get("model").cloned().unwrap_or(Value::Null),
"model_actual": result.get("model").cloned().unwrap_or(Value::Null),
"status": status,
"http_status": if status == "success" { 200 } else if status == "running" || status == "pending" { 202 } else { 500 },
"latency_ms": Value::Null,
"first_byte_latency_ms": Value::Null,
"prompt_tokens": Value::Null,
"completion_tokens": Value::Null,
"total_tokens": Value::Null,
"estimated_cost": 0.0,
"error_message": task.error.clone(),
"retry_count": 0,
"is_stream": false,
"client_family": "picture-agent",
"client_app_id": "picture-agent",
"client_app_name": "Picture Agent",
"client_confidence": "high",
"created_at": task.created_at,
"source": "picture-agent",
"task_type": task.task_type,
"title": task.title,
"message": task.message,
"error": task.error,
"progress": task.progress,
"progress_total": task.progress_total,
"status_label": status,
"result": result,
})
})
.collect())
}
async fn user_usage_log_items(state: &AppState, user_id: i64) -> AppResult<Vec<Value>> {
let rows = sqlx::query(
r#"
SELECT
l.id,
l.model,
l.cost,
l.prompt_tokens,
l.completion_tokens,
l.total_tokens,
l.created_at,
k.name AS downstream_key_name
FROM usage_logs l
JOIN downstream_api_keys k ON k.id = l.downstream_key_id
WHERE k.user_id = ?
ORDER BY l.created_at DESC, l.id DESC
LIMIT 5000
"#,
)
.bind(user_id)
.fetch_all(&*state.db)
.await?;
Ok(rows
.into_iter()
.map(|row| {
let model = row
.try_get::<Option<String>, _>("model")
.ok()
.flatten()
.unwrap_or_default();
let model_trimmed = model.trim().to_string();
let source_model = model_trimmed
.split(':')
.next_back()
.unwrap_or(&model_trimmed)
.trim()
.to_string();
json!({
"id": format!("usage-{}", row.try_get::<i64, _>("id").unwrap_or_default()),
"route_id": Value::Null,
"channel_id": Value::Null,
"account_id": Value::Null,
"downstream_api_key_id": Value::Null,
"site_id": Value::Null,
"username": Value::Null,
"site_name": Value::Null,
"site_url": Value::Null,
"downstream_key_name": row.try_get::<Option<String>, _>("downstream_key_name").ok().flatten(),
"downstream_key_group_name": Value::Null,
"downstream_key_tags": Value::Null,
"model_requested": source_model,
"model_actual": source_model,
"status": "success",
"http_status": 200,
"latency_ms": Value::Null,
"first_byte_latency_ms": Value::Null,
"prompt_tokens": row.try_get::<Option<i64>, _>("prompt_tokens").ok().flatten(),
"completion_tokens": row.try_get::<Option<i64>, _>("completion_tokens").ok().flatten(),
"total_tokens": row.try_get::<Option<i64>, _>("total_tokens").ok().flatten(),
"estimated_cost": row.try_get::<Option<f64>, _>("cost").ok().flatten().unwrap_or(0.0),
"error_message": Value::Null,
"retry_count": 0,
"is_stream": false,
"client_family": "picture-agent",
"client_app_id": "picture-agent",
"client_app_name": "Picture Agent",
"client_confidence": "high",
"created_at": row.try_get::<Option<String>, _>("created_at").ok().flatten(),
"source": "usage-logs",
"task_type": "usage-log",
"title": "生图助手",
"message": model_trimmed,
"error": Value::Null,
"progress": Value::Null,
"progress_total": Value::Null,
})
})
.collect())
}
fn user_log_text(item: &Value) -> String {
[
item.get("model_requested").and_then(Value::as_str),
item.get("model_actual").and_then(Value::as_str),
item.get("downstream_key_name").and_then(Value::as_str),
item.get("site_name").and_then(Value::as_str),
item.get("site_url").and_then(Value::as_str),
item.get("error_message").and_then(Value::as_str),
item.get("message").and_then(Value::as_str),
item.get("title").and_then(Value::as_str),
item.get("source").and_then(Value::as_str),
]
.into_iter()
.flatten()
.collect::<Vec<_>>()
.join(" ")
.to_ascii_lowercase()
}
fn user_log_status(item: &Value) -> String {
item.get("status")
.and_then(Value::as_str)
.unwrap_or_default()
.to_ascii_lowercase()
}
fn user_log_created_at(item: &Value) -> String {
item.get("created_at")
.and_then(Value::as_str)
.unwrap_or_default()
.to_string()
}
fn user_log_cost(item: &Value) -> f64 {
item.get("estimated_cost")
.and_then(Value::as_f64)
.unwrap_or(0.0)
}
fn user_log_tokens(item: &Value) -> i64 {
item.get("total_tokens")
.and_then(Value::as_i64)
.unwrap_or(0)
}
fn matches_user_log_filters(
item: &Value,
q: Option<&str>,
status: Option<&str>,
date_from: Option<&str>,
date_to: Option<&str>,
) -> bool {
if let Some(q) = q {
let q = q.to_ascii_lowercase();
if !user_log_text(item).contains(&q) {
return false;
}
}
if let Some(status) = status {
let item_status = user_log_status(item);
let normalized = status.to_ascii_lowercase();
if normalized == "success" {
if item_status != "success" {
return false;
}
} else if normalized == "failed" {
if !matches!(item_status.as_str(), "failed" | "cancelled") {
return false;
}
} else if item_status != normalized {
return false;
}
}
let created_at = user_log_created_at(item);
if let Some(date_from) = date_from {
if !created_at.is_empty() && created_at.as_str() < date_from {
return false;
}
}
if let Some(date_to) = date_to {
if !created_at.is_empty() && created_at.as_str() > date_to {
return false;
}
}
true
}
fn sort_user_logs_desc(items: &mut [Value]) {
items.sort_by(|a, b| {
let created_cmp = user_log_created_at(b).cmp(&user_log_created_at(a));
if created_cmp != std::cmp::Ordering::Equal {
return created_cmp;
}
let id_a = a.get("id").map(Value::to_string).unwrap_or_default();
let id_b = b.get("id").map(Value::to_string).unwrap_or_default();
id_b.cmp(&id_a)
});
}
async fn load_user_log_items(state: &AppState, user_id: i64) -> AppResult<Vec<Value>> {
let mut items: Vec<Value> = sqlx::query_as::<_, crate::routes::stats::ProxyLogRow>(
r#"
SELECT
l.id, l.route_id, l.channel_id, l.account_id, l.downstream_api_key_id,
l.model_requested, l.model_actual, l.status, l.http_status,
l.latency_ms, l.first_byte_latency_ms,
l.prompt_tokens, l.completion_tokens, l.total_tokens, l.estimated_cost,
l.error_message, l.retry_count, l.is_stream,
l.client_family, l.client_app_id, l.client_app_name, l.client_confidence,
l.created_at,
a.site_id AS site_id,
COALESCE(NULLIF(a.username, ''), CASE WHEN a.id IS NULL THEN NULL ELSE '账号 #' || a.id END) AS username,
s.name AS site_name,
s.url AS site_url,
k.name AS downstream_key_name,
k.group_name AS downstream_key_group_name,
k.tags AS downstream_key_tags
FROM proxy_logs l
JOIN downstream_api_keys k ON l.downstream_api_key_id = k.id
LEFT JOIN accounts a ON a.id = l.account_id
LEFT JOIN sites s ON s.id = a.site_id
WHERE k.user_id = ?
ORDER BY l.created_at DESC
LIMIT 5000
"#,
)
.bind(user_id)
.fetch_all(&*state.db)
.await?
.into_iter()
.map(|row| serde_json::to_value(row).unwrap_or(json!({})))
.collect();
items.extend(user_usage_log_items(state, user_id).await?);
items.extend(user_picture_log_items(state, user_id).await?);
sort_user_logs_desc(&mut items);
Ok(items)
}
#[derive(Debug, Deserialize)]
@@ -190,98 +491,40 @@ async fn get_user_logs(
let offset = params.offset.unwrap_or((page - 1) * page_size).max(0);
let q = params.q.as_deref().map(str::trim).filter(|s| !s.is_empty());
let q_like = q.map(|s| format!("%{s}%"));
let status = params
.status
.as_deref()
.filter(|s| !s.is_empty() && *s != "all");
let date_from = params.date_from.as_deref().filter(|s| !s.is_empty());
let date_to = params.date_to.as_deref().filter(|s| !s.is_empty());
let items: Vec<Value> = sqlx::query_as::<_, crate::routes::stats::ProxyLogRow>(
r#"
SELECT
l.id, l.route_id, l.channel_id, l.account_id, l.downstream_api_key_id,
l.model_requested, l.model_actual, l.status, l.http_status,
l.latency_ms, l.first_byte_latency_ms,
l.prompt_tokens, l.completion_tokens, l.total_tokens, l.estimated_cost,
l.error_message, l.retry_count, l.is_stream,
l.client_family, l.client_app_id, l.client_app_name, l.client_confidence,
l.created_at,
a.site_id AS site_id,
COALESCE(NULLIF(a.username, ''), CASE WHEN a.id IS NULL THEN NULL ELSE '账号 #' || a.id END) AS username,
s.name AS site_name,
s.url AS site_url,
k.name AS downstream_key_name,
k.group_name AS downstream_key_group_name,
k.tags AS downstream_key_tags
FROM proxy_logs l
JOIN downstream_api_keys k ON l.downstream_api_key_id = k.id
LEFT JOIN accounts a ON a.id = l.account_id
LEFT JOIN sites s ON s.id = a.site_id
WHERE k.user_id = ?
AND (? IS NULL OR l.model_requested LIKE ?)
AND (? IS NULL OR l.status = ?)
AND (? IS NULL OR l.created_at >= ?)
AND (? IS NULL OR l.created_at <= ?)
ORDER BY l.created_at DESC
LIMIT ? OFFSET ?
"#,
)
.bind(user_id)
.bind(q_like.as_deref())
.bind(q_like.as_deref())
.bind(status)
.bind(status)
.bind(date_from)
.bind(date_from)
.bind(date_to)
.bind(date_to)
.bind(page_size)
.bind(offset)
.fetch_all(&*state.db)
.await?
.into_iter()
.map(|row| serde_json::to_value(row).unwrap_or(json!({})))
.collect();
let (total, success_count, total_cost, total_tokens): (i64, i64, f64, i64) = sqlx::query_as(
r#"
SELECT
COUNT(*),
SUM(CASE WHEN l.status = 'success' THEN 1 ELSE 0 END),
COALESCE(SUM(l.estimated_cost), 0.0),
COALESCE(SUM(l.total_tokens), 0)
FROM proxy_logs l
JOIN downstream_api_keys k ON l.downstream_api_key_id = k.id
WHERE k.user_id = ?
AND (? IS NULL OR l.model_requested LIKE ?)
AND (? IS NULL OR l.status = ?)
AND (? IS NULL OR l.created_at >= ?)
AND (? IS NULL OR l.created_at <= ?)
"#,
)
.bind(user_id)
.bind(q_like.as_deref())
.bind(q_like.as_deref())
.bind(status)
.bind(status)
.bind(date_from)
.bind(date_from)
.bind(date_to)
.bind(date_to)
.fetch_one(&*state.db)
.await?;
let items = load_user_log_items(&state, user_id).await?;
let filtered_items: Vec<Value> = items
.into_iter()
.filter(|item| matches_user_log_filters(item, q, status, date_from, date_to))
.collect();
let total = filtered_items.len() as i64;
let success_count = filtered_items
.iter()
.filter(|item| user_log_status(item).as_str() == "success")
.count() as i64;
let failed_count = total - success_count;
let total_cost = filtered_items.iter().map(user_log_cost).sum::<f64>();
let total_tokens = filtered_items.iter().map(user_log_tokens).sum::<i64>();
let paged_items = filtered_items
.into_iter()
.skip(offset as usize)
.take(page_size as usize)
.collect::<Vec<_>>();
Ok(Json(json!({
"items": items,
"items": paged_items,
"total": total,
"page": page,
"page_size": page_size,
"summary": {
"total": total,
"success": success_count,
"failed": total - success_count,
"failed": failed_count,
"total_cost": total_cost,
"total_tokens": total_tokens,
}
@@ -293,22 +536,57 @@ async fn get_user_summary(
headers: HeaderMap,
) -> AppResult<Json<Value>> {
let user_id = current_user_id(&headers, &state)?;
let stats: (i64, i64, f64) = sqlx::query_as(
"SELECT COUNT(*),
SUM(CASE WHEN l.status = 'success' THEN 1 ELSE 0 END),
COALESCE(SUM(l.estimated_cost), 0.0)
FROM proxy_logs l
JOIN downstream_api_keys k ON l.downstream_api_key_id = k.id
WHERE k.user_id = ?",
)
.bind(user_id)
.fetch_one(&*state.db)
.await?;
let items = load_user_log_items(&state, user_id).await?;
let total = items.len() as i64;
let success_count = items
.iter()
.filter(|item| user_log_status(item).as_str() == "success")
.count() as i64;
let total_cost = items.iter().map(user_log_cost).sum::<f64>();
Ok(Json(json!({
"totalRequests": stats.0,
"successRequests": stats.1,
"totalCost": stats.2,
"totalRequests": total,
"successRequests": success_count,
"totalCost": total_cost,
})))
}
async fn get_user_models_marketplace(
State(state): State<AppState>,
headers: HeaderMap,
Query(query): Query<crate::routes::admin::models_marketplace::MarketplaceQuery>,
) -> AppResult<Json<Value>> {
let _user_id = current_user_id(&headers, &state)?;
let value = crate::routes::admin::models_marketplace::marketplace_inner(&state.db).await?;
let models = value
.get("models")
.and_then(Value::as_array)
.map(|items| {
items
.iter()
.map(|model| {
let brand = model.get("name").and_then(Value::as_str).unwrap_or_default();
json!({
"name": brand,
"accountCount": 0,
"tokenCount": 0,
"avgLatency": model.get("avgLatency").cloned().unwrap_or(Value::Null),
"successRate": model.get("successRate").cloned().unwrap_or(Value::Null),
"description": model.get("description").cloned().unwrap_or(Value::Null),
"tags": model.get("tags").cloned().unwrap_or_else(|| json!([])),
"supportedEndpointTypes": model.get("supportedEndpointTypes").cloned().unwrap_or_else(|| json!([])),
"pricingSources": [],
"accounts": [],
})
})
.collect::<Vec<_>>()
})
.unwrap_or_default();
Ok(Json(json!({
"models": models,
"meta": value.get("meta").cloned().unwrap_or_else(|| json!({})),
"userView": true,
"includePricing": query.include_pricing.is_some(),
})))
}