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fix(dashboard): 修复今日统计口径并对齐每日统计日期显示

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- 前端请求 /api/dashboard/stats 时传递 timezone 和 tz_offset_minutes
- 后端仪表盘汇总过滤 pending/streaming 和占位 provider，修正今日请求/Token/费用统计
- 今日 Token 卡片增加 K/M 单位显示，并补充写缓存/读缓存 Token 信息
- 修复每日统计 YYYY-MM-DD 被按 UTC 解析导致的“今天/昨天”串天问题
- 补充前后端回归测试，覆盖统计口径和日期解析场景
This commit is contained in:
AAEE86
2026-04-12 11:20:39 +08:00
parent ab82841426
commit 3fcb2b1514
5 changed files with 154 additions and 26 deletions
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76
apps/aether-gateway/src/tests/frontdoor/public_support/dashboard.rs
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@@ -172,7 +172,7 @@ async fn gateway_handles_dashboard_stats_locally_without_proxying_upstream() {
#[tokio::test]
async fn gateway_handles_admin_dashboard_stats_locally_without_proxying_upstream() {
let now = Utc::now();
let now = stable_dashboard_now();
let admin = StoredUserAuthRecord::new(
"admin-auth-1".to_string(),
Some("admin@example.com".to_string()),
@@ -213,25 +213,54 @@ async fn gateway_handles_admin_dashboard_stats_locally_without_proxying_upstream
"refresh-dashboard-stats-admin",
now,
);
let mut openai_usage = sample_user_usage_audit(
"usage-dashboard-admin-1",
"req-dashboard-admin-1",
"user-auth-1",
"gpt-5",
"openai",
"completed",
now - chrono::Duration::minutes(10),
);
openai_usage.input_tokens = 12_000;
openai_usage.output_tokens = 3_000;
openai_usage.total_tokens = 15_000;
openai_usage.cache_creation_input_tokens = 1_200;
openai_usage.cache_creation_ephemeral_5m_input_tokens = 600;
openai_usage.cache_creation_ephemeral_1h_input_tokens = 600;
openai_usage.cache_read_input_tokens = 800;
let mut claude_usage = sample_user_usage_audit(
"usage-dashboard-admin-2",
"req-dashboard-admin-2",
"user-auth-2",
"claude-3-7",
"claude",
"completed",
now - chrono::Duration::minutes(5),
);
claude_usage.input_tokens = 900;
claude_usage.output_tokens = 100;
claude_usage.total_tokens = 1_000;
claude_usage.cache_creation_input_tokens = 50;
claude_usage.cache_creation_ephemeral_5m_input_tokens = 20;
claude_usage.cache_creation_ephemeral_1h_input_tokens = 30;
claude_usage.cache_read_input_tokens = 200;
let streaming_usage = sample_user_usage_audit(
"usage-dashboard-admin-3",
"req-dashboard-admin-3",
"user-auth-3",
"gpt-4.1",
"openai",
"streaming",
now - chrono::Duration::minutes(1),
);
let usage_repository = Arc::new(InMemoryUsageReadRepository::seed(vec![
sample_user_usage_audit(
"usage-dashboard-admin-1",
"req-dashboard-admin-1",
"user-auth-1",
"gpt-5",
"openai",
"completed",
now - chrono::Duration::minutes(10),
),
sample_user_usage_audit(
"usage-dashboard-admin-2",
"req-dashboard-admin-2",
"user-auth-2",
"claude-3-7",
"claude",
"completed",
now - chrono::Duration::minutes(5),
),
openai_usage,
claude_usage,
streaming_usage,
]));
let user_repository = Arc::new(
InMemoryUserReadRepository::seed_auth_users(vec![admin.clone()]).with_export_users(vec![
@@ -367,6 +396,15 @@ async fn gateway_handles_admin_dashboard_stats_locally_without_proxying_upstream
assert_eq!(response.status(), StatusCode::OK);
let payload: serde_json::Value = response.json().await.expect("json body should parse");
assert_eq!(payload["today"]["requests"], 2);
assert_eq!(payload["today"]["tokens"], 16_000);
assert_eq!(payload["today"]["cost"], json!(2.5));
assert_eq!(payload["stats"][0]["value"], json!("2"));
assert_eq!(payload["stats"][1]["value"], json!("16K"));
assert_eq!(
payload["stats"][1]["subValue"],
json!("输入 12.9K / 输出 3.1K · 写缓存 1.25K / 读缓存 1K")
);
assert_eq!(payload["users"]["total"], 2);
assert_eq!(payload["users"]["active"], 1);
assert_eq!(payload["api_keys"]["total"], 3);