feat(dashboard): 首页请求趋势拆分状态码并合并容量到业务流量

- 24 小时请求趋势拆分展示请求总量与 200/400/500 状态码请求量,独占一行;
  时间桶聚合新增 status_200/400/500_count(CH countIf、PG FILTER),
  请求趋势改为基于原始桶聚合(小时 rollup 无状态码口径)
- 首页移除宿主机磁盘指标,容量趋势(CPU/内存)并入业务流量卡片展示
- 压缩协议 traffic_24h 扩展为 7 元组,前端归一化同步更新
This commit is contained in:
ryan
2026-08-13 10:57:21 +08:00
parent a9e4237bbf
commit a4dd5ca9e1
15 changed files with 196 additions and 160 deletions
+1
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@@ -21,6 +21,7 @@ sidebar: false
### 新增
- 访问日志「日志明细」支持按 HTTP 状态码筛选:状态码下拉含常用 2xx/3xx/4xx/5xx 快捷选项,也可手动输入任意状态码,筛选条件贯穿 ClickHouse 与 PostgreSQL/SQLite 日志库。
- 访问日志「日志明细」支持自定义时间范围筛选:内置 shadcn 日期+时间选择器,可指定起止时间(RFC3339,需成对提供)。
- 首页看板改版:24 小时请求趋势拆分展示请求总量与 2xx/4xx/5xx 状态码类请求量并独占一行;移除宿主机磁盘指标,24 小时容量趋势(CPU/内存)并入业务流量卡片展示。
### 🛠 修复
- 修复首页「来源分布」卡片在 PostgreSQL/SQLite 日志库下无数据:聚合查询对空节点 ID 误拼 `node_id = ''` 恒空条件,现改为空节点 ID 表示全节点聚合(与 ClickHouse 语义一致),并同步过滤空白归属地。
@@ -3,39 +3,29 @@
import { TrendChart } from '@/components/data/trend-chart';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import type {
DiskIOTrendPoint,
CapacityTrendPoint,
NetworkTrendPoint,
} from '@/lib/services/openflare';
import {
formatBytes,
formatBytesPerSecond,
formatPercent,
formatTrendHour,
} from './dashboard-utils';
/** Backend disk points are per-hour totals; chart displays bytes/s within each hour. */
const DISK_BUCKET_SECONDS = 3600;
function diskBytesToRate(bytes: number) {
return bytes > 0 ? bytes / DISK_BUCKET_SECONDS : 0;
}
function formatDiskRate(bytesPerSecond: number) {
return formatBytesPerSecond(bytesPerSecond, 1, { zeroText: '0 B' });
}
export function NetworkDiskTrendChart({
/** 业务流量(来自访问日志)与容量趋势(节点 Agent 宿主机指标)合并展示。 */
export function TrafficCapacityTrendChart({
networkPoints,
diskPoints,
capacityPoints,
}: {
networkPoints: NetworkTrendPoint[];
diskPoints: DiskIOTrendPoint[];
capacityPoints: CapacityTrendPoint[];
}) {
return (
<Card className='border-dashed shadow-none'>
<CardHeader>
<CardTitle className='text-sm font-semibold'>
24 小时业务流量与宿主机磁盘
24 小时业务流量与容量趋势
</CardTitle>
</CardHeader>
<CardContent className='space-y-6'>
@@ -66,31 +56,31 @@ export function NetworkDiskTrendChart({
/>
<TrendChart
labels={diskPoints.map((point) =>
labels={capacityPoints.map((point) =>
formatTrendHour(point.bucket_started_at),
)}
height={180}
summaryScope='average'
summaryHint='近 24 小时 · 宿主机磁盘 · 平均速率'
yAxisValueFormatter={formatDiskRate}
summaryHint='近 24 小时 · 宿主机容量 · 平均值'
yAxisValueFormatter={formatPercent}
series={[
{
label: '磁盘读',
color: '#a78bfa',
fillColor: 'rgba(167, 139, 250, 0.14)',
label: '平均 CPU',
color: '#0f766e',
fillColor: 'rgba(15, 118, 110, 0.15)',
variant: 'area',
values: diskPoints.map((point) =>
diskBytesToRate(point.disk_read_bytes),
values: capacityPoints.map(
(point) => point.average_cpu_usage_percent,
),
valueFormatter: formatDiskRate,
valueFormatter: formatPercent,
},
{
label: '磁盘写',
color: '#fb7185',
values: diskPoints.map((point) =>
diskBytesToRate(point.disk_write_bytes),
label: '平均内存',
color: '#2563eb',
values: capacityPoints.map(
(point) => point.average_memory_usage_percent,
),
valueFormatter: formatDiskRate,
valueFormatter: formatPercent,
},
]}
/>
@@ -15,7 +15,7 @@ import { formatTrendHour } from './dashboard-utils';
export function TrafficTrendChart({
points,
title = '24 小时请求趋势',
description = '观察整体请求量和错误量是否出现异常抬升。',
description = '按小时拆分请求总量与 2xx/4xx/5xx 状态码请求量,判断各状态是否异常抬升。',
}: {
points: TrafficTrendPoint[];
title?: string;
@@ -43,9 +43,19 @@ export function TrafficTrendChart({
values: points.map((point) => point.request_count),
},
{
label: '错误量',
label: '2xx 请求',
color: '#22c55e',
values: points.map((point) => point.status_2xx_count),
},
{
label: '4xx 请求',
color: '#f97316',
values: points.map((point) => point.status_4xx_count),
},
{
label: '5xx 请求',
color: '#ef4444',
values: points.map((point) => point.error_count),
values: points.map((point) => point.status_5xx_count),
},
]}
/>
+98 -100
View File
@@ -1,114 +1,112 @@
'use client';
import { useQuery } from '@tanstack/react-query';
import { LayoutDashboard, RefreshCw } from 'lucide-react';
import {useQuery} from '@tanstack/react-query';
import {LayoutDashboard, RefreshCw} from 'lucide-react';
import { EmptyStateWithBorder } from '@/components/layout/empty';
import { ErrorInline } from '@/components/layout/error';
import { LoadingStateWithBorder } from '@/components/layout/loading';
import { Button } from '@/components/ui/button';
import { DashboardService } from '@/lib/services/openflare';
import { formatDateTime } from '@/lib/utils';
import {EmptyStateWithBorder} from '@/components/layout/empty';
import {ErrorInline} from '@/components/layout/error';
import {LoadingStateWithBorder} from '@/components/layout/loading';
import {Button} from '@/components/ui/button';
import {DashboardService} from '@/lib/services/openflare';
import {formatDateTime} from '@/lib/utils';
import { CapacityTrendChart } from './components/dashboard/capacity-trend-chart';
import {
SourceDistributionChart,
StatusCodeDistributionChart,
TopDomainChart,
SourceDistributionChart,
StatusCodeDistributionChart,
TopDomainChart,
} from './components/dashboard/distribution-rank-charts';
import { NetworkDiskTrendChart } from './components/dashboard/network-disk-trend-chart';
import { NodeHealthTable } from './components/dashboard/node-health-table';
import { TrafficTrendChart } from './components/dashboard/traffic-trend-chart';
import { WorldStage } from './components/dashboard/world-stage';
import { getErrorMessage } from './nodes/components/node-utils';
import {NodeHealthTable} from './components/dashboard/node-health-table';
import {TrafficCapacityTrendChart} from './components/dashboard/traffic-capacity-trend-chart';
import {TrafficTrendChart} from './components/dashboard/traffic-trend-chart';
import {WorldStage} from './components/dashboard/world-stage';
import {getErrorMessage} from './nodes/components/node-utils';
const dashboardQueryKey = ['openflare', 'dashboard', 'overview'];
export default function OpenFlareDashboardPage() {
const overviewQuery = useQuery({
queryKey: dashboardQueryKey,
queryFn: () => DashboardService.getOverview(),
refetchInterval: 60_000,
});
const overviewQuery = useQuery({
queryKey: dashboardQueryKey,
queryFn: () => DashboardService.getOverview(),
refetchInterval: 60_000,
});
const overview = overviewQuery.data;
const overview = overviewQuery.data;
return (
<div className='py-6 px-1 space-y-6'>
<div className='flex flex-wrap items-center justify-between gap-3'>
<div className='flex items-center gap-2'>
<LayoutDashboard className='size-5 text-primary' />
<h1 className='text-2xl font-semibold tracking-tight'>总览</h1>
return (
<div className='py-6 px-1 space-y-6'>
<div className='flex flex-wrap items-center justify-between gap-3'>
<div className='flex items-center gap-2'>
<LayoutDashboard className='size-5 text-primary'/>
<h1 className='text-2xl font-semibold tracking-tight'>总览</h1>
</div>
<div className='flex items-center gap-2 text-xs text-muted-foreground'>
{overview?.generated_at ? (
<span>数据生成于 {formatDateTime(overview.generated_at)}</span>
) : null}
<Button
variant='outline'
size='sm'
className='h-8'
onClick={() => overviewQuery.refetch()}
disabled={overviewQuery.isFetching}
>
<RefreshCw
className={`size-3.5 mr-1.5 ${overviewQuery.isFetching ? 'animate-spin' : ''}`}
/>
刷新
</Button>
</div>
</div>
{overviewQuery.isLoading ? (
<LoadingStateWithBorder
title='加载总览数据'
description='正在聚合节点健康、流量与容量指标...'
/>
) : overviewQuery.isError ? (
<ErrorInline
message={`总览看板加载失败:${getErrorMessage(overviewQuery.error)}`}
onRetry={() => overviewQuery.refetch()}
/>
) : !overview ? (
<EmptyStateWithBorder
title='暂无总览数据'
description='系统已经启动,但还没有可展示的总览聚合结果。'
/>
) : (
<>
<WorldStage
summary={overview.summary}
traffic={overview.traffic}
capacity={overview.capacity}
nodes={overview.nodes}
sourceCountries={overview.distributions.source_countries}
/>
<div className='grid gap-6'>
<TrafficTrendChart points={overview.trends.traffic_24h}/>
</div>
<div className='grid gap-6 xl:grid-cols-3'>
<SourceDistributionChart
items={overview.distributions.source_countries}
/>
<StatusCodeDistributionChart
items={overview.distributions.status_codes}
/>
<TopDomainChart items={overview.distributions.top_domains}/>
</div>
<div className='grid gap-6'>
<TrafficCapacityTrendChart
networkPoints={overview.trends.network_24h}
capacityPoints={overview.trends.capacity_24h}
/>
</div>
<NodeHealthTable nodes={overview.nodes}/>
</>
)}
</div>
<div className='flex items-center gap-2 text-xs text-muted-foreground'>
{overview?.generated_at ? (
<span>数据生成于 {formatDateTime(overview.generated_at)}</span>
) : null}
<Button
variant='outline'
size='sm'
className='h-8'
onClick={() => overviewQuery.refetch()}
disabled={overviewQuery.isFetching}
>
<RefreshCw
className={`size-3.5 mr-1.5 ${overviewQuery.isFetching ? 'animate-spin' : ''}`}
/>
刷新
</Button>
</div>
</div>
{overviewQuery.isLoading ? (
<LoadingStateWithBorder
title='加载总览数据'
description='正在聚合节点健康、流量与容量指标...'
/>
) : overviewQuery.isError ? (
<ErrorInline
message={`总览看板加载失败:${getErrorMessage(overviewQuery.error)}`}
onRetry={() => overviewQuery.refetch()}
/>
) : !overview ? (
<EmptyStateWithBorder
title='暂无总览数据'
description='系统已经启动,但还没有可展示的总览聚合结果。'
/>
) : (
<>
<WorldStage
summary={overview.summary}
traffic={overview.traffic}
capacity={overview.capacity}
nodes={overview.nodes}
sourceCountries={overview.distributions.source_countries}
/>
<div className='grid gap-6 xl:grid-cols-2'>
<TrafficTrendChart points={overview.trends.traffic_24h} />
<CapacityTrendChart points={overview.trends.capacity_24h} />
</div>
<div className='grid gap-6'>
<NetworkDiskTrendChart
networkPoints={overview.trends.network_24h}
diskPoints={overview.trends.disk_io_24h}
/>
</div>
<div className='grid gap-6 xl:grid-cols-3'>
<SourceDistributionChart
items={overview.distributions.source_countries}
/>
<StatusCodeDistributionChart
items={overview.distributions.status_codes}
/>
<TopDomainChart items={overview.distributions.top_domains} />
</div>
<NodeHealthTable nodes={overview.nodes} />
</>
)}
</div>
);
);
}
@@ -89,6 +89,9 @@ function normalizeTrafficTrendPoints(
request_count: Number(item[1] ?? 0),
error_count: Number(item[2] ?? 0),
unique_visitor_count: Number(item[3] ?? 0),
status_2xx_count: Number(item[4] ?? 0),
status_4xx_count: Number(item[5] ?? 0),
status_5xx_count: Number(item[6] ?? 0),
}
: item,
);
+12 -1
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@@ -1159,6 +1159,9 @@ export interface TrafficTrendPoint {
request_count: number;
error_count: number;
unique_visitor_count: number;
status_2xx_count: number;
status_4xx_count: number;
status_5xx_count: number;
}
export interface CapacityTrendPoint {
@@ -1227,7 +1230,15 @@ export interface DashboardOverview {
nodes: DashboardNodeHealth[];
}
export type CompactTrafficTrendPoint = [string, number, number, number];
export type CompactTrafficTrendPoint = [
string,
number,
number,
number,
number,
number,
number,
];
export type CompactCapacityTrendPoint = [string, number, number, number];
/** [bucket, bytes_received, bytes_provided, reported_nodes] */
export type CompactNetworkTrendPoint = [string, number, number, number];
@@ -330,11 +330,15 @@ func compressDistributionItems(items []observability.DistributionItem) [][]any {
func compressTrafficTrendPoints(points []observability.TrafficTrendPoint) [][]any {
rows := make([][]any, 0, len(points))
for _, point := range points {
// Compact layout: [0] bucket, [1] request, [2] error, [3] uv, [4] 2xx, [5] 4xx, [6] 5xx
rows = append(rows, []any{
point.BucketStartedAt,
point.RequestCount,
point.ErrorCount,
point.UniqueVisitorCount,
point.Status2xxCount,
point.Status4xxCount,
point.Status5xxCount,
})
}
return rows
@@ -143,7 +143,7 @@ func TestGetOverviewStructure(t *testing.T) {
require.Len(t, overview.Trends.Network24h, 24)
require.Len(t, overview.Trends.DiskIO24h, 24)
for _, row := range overview.Trends.Traffic24h {
require.Len(t, row, 4)
require.Len(t, row, 7)
}
for _, row := range overview.Trends.Capacity24h {
require.Len(t, row, 4)
@@ -85,6 +85,9 @@ type TrafficTrendPoint struct {
RequestCount int64 `json:"request_count"`
ErrorCount int64 `json:"error_count"`
UniqueVisitorCount int64 `json:"unique_visitor_count"`
Status2xxCount int64 `json:"status_2xx_count"`
Status4xxCount int64 `json:"status_4xx_count"`
Status5xxCount int64 `json:"status_5xx_count"`
}
// CapacityTrendPoint is a capacity trend bucket.
@@ -303,9 +306,10 @@ func BuildNodeTrends(
}
}
// BuildTrafficTrendPointsFromAccessLogs builds 24h request/error buckets from access logs.
// Prefers of_access_log_hourly when available; falls back to raw bucket aggregates.
// UniqueVisitorCount on hourly path is 0 (use TrafficSummary for exact UV).
// BuildTrafficTrendPointsFromAccessLogs builds 24h request/error/status buckets from access logs.
// Uses raw bucket aggregates: the hourly rollup (of_access_log_hourly) has no per-status counts,
// and the 24h window on the dashboard is cached, so the raw scan is acceptable.
// UniqueVisitorCount from buckets is exact (uniqExact on raw); TrafficSummary is used elsewhere for UV.
func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, nodeID string, since time.Time) []TrafficTrendPoint {
start := trendWindowStart(now)
points := make([]TrafficTrendPoint, observabilityTrendBuckets)
@@ -313,22 +317,6 @@ func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, n
points[index].BucketStartedAt = start.Add(time.Duration(index) * time.Hour)
}
if hourly, err := repository.ListOpenFlareTrafficHourlySince(ctx, nodeID, since); err == nil && len(hourly) > 0 {
for _, row := range hourly {
if row == nil {
continue
}
index, ok := trendBucketIndex(row.Hour, start)
if !ok {
continue
}
points[index].RequestCount += row.RequestCount
points[index].ErrorCount += row.ErrorCount
// UniqueVisitorCount intentionally not summed from hourly rollup (always 0 / overcounts).
}
return points
}
buckets, err := repository.ListOpenFlareAccessLogBuckets(ctx, model.OpenFlareAccessLogBucketQuery{
NodeID: nodeID,
Since: since,
@@ -353,6 +341,9 @@ func BuildTrafficTrendPointsFromAccessLogs(ctx context.Context, now time.Time, n
points[index].RequestCount = row.RequestCount
points[index].ErrorCount = row.ServerErrorCount
points[index].UniqueVisitorCount = row.UniqueIPCount
points[index].Status2xxCount = row.Status2xxCount
points[index].Status4xxCount = row.Status4xxCount
points[index].Status5xxCount = row.Status5xxCount
}
}
return points
@@ -10,6 +10,9 @@ type NodeAccessLogBucketAggregate struct {
SuccessCount int64 `gorm:"column:success_count"`
ClientErrorCount int64 `gorm:"column:client_error_count"`
ServerErrorCount int64 `gorm:"column:server_error_count"`
Status2xxCount int64 `gorm:"column:status_2xx_count"`
Status4xxCount int64 `gorm:"column:status_4xx_count"`
Status5xxCount int64 `gorm:"column:status_5xx_count"`
UniqueIPCount int64 `gorm:"column:unique_ip_count"`
UniqueHostCount int64 `gorm:"column:unique_host_count"`
BytesSent int64 `gorm:"column:bytes_sent"`
@@ -198,6 +198,9 @@ type OpenFlareAccessLogBucketRow struct {
SuccessCount int64 `json:"success_count"`
ClientErrorCount int64 `json:"client_error_count"`
ServerErrorCount int64 `json:"server_error_count"`
Status2xxCount int64 `json:"status_2xx_count"`
Status4xxCount int64 `json:"status_4xx_count"`
Status5xxCount int64 `json:"status_5xx_count"`
BytesSent int64 `json:"bytes_sent"`
RequestLength int64 `json:"request_length"`
}
@@ -46,6 +46,9 @@ SELECT
countIf(status_code < 400) AS success_count,
countIf(status_code >= 400 AND status_code < 500) AS client_error_count,
countIf(status_code >= 500) AS server_error_count,
countIf(status_code >= 200 AND status_code < 300) AS status_2xx_count,
countIf(status_code >= 400 AND status_code < 500) AS status_4xx_count,
countIf(status_code >= 500) AS status_5xx_count,
uniqExactIf(remote_addr, remote_addr != '') AS unique_ip_count,
uniqExactIf(host, host != '') AS unique_host_count,
sum(bytes_sent) AS bytes_sent,
@@ -70,10 +73,10 @@ ORDER BY %s`, bucketExpr, tableName, clause, nodeAccessLogBucketOrderClause(filt
var result []NodeAccessLogBucketAggregate
for rows.Next() {
var (
bucketEpoch int64
requestCount, successCount, clientErrorCount, serverErrorCount, uniqueIPCount, uniqueHostCount, bytesSent, requestLength uint64
bucketEpoch int64
requestCount, successCount, clientErrorCount, serverErrorCount, status2xxCount, status4xxCount, status5xxCount, uniqueIPCount, uniqueHostCount, bytesSent, requestLength uint64
)
if err := rows.Scan(&bucketEpoch, &requestCount, &successCount, &clientErrorCount, &serverErrorCount, &uniqueIPCount, &uniqueHostCount, &bytesSent, &requestLength); err != nil {
if err := rows.Scan(&bucketEpoch, &requestCount, &successCount, &clientErrorCount, &serverErrorCount, &status2xxCount, &status4xxCount, &status5xxCount, &uniqueIPCount, &uniqueHostCount, &bytesSent, &requestLength); err != nil {
return nil, fmt.Errorf("scan bucket aggregate row: %w", err)
}
result = append(result, NodeAccessLogBucketAggregate{
@@ -82,6 +85,9 @@ ORDER BY %s`, bucketExpr, tableName, clause, nodeAccessLogBucketOrderClause(filt
SuccessCount: safeInt64Count(successCount),
ClientErrorCount: safeInt64Count(clientErrorCount),
ServerErrorCount: safeInt64Count(serverErrorCount),
Status2xxCount: safeInt64Count(status2xxCount),
Status4xxCount: safeInt64Count(status4xxCount),
Status5xxCount: safeInt64Count(status5xxCount),
UniqueIPCount: safeInt64Count(uniqueIPCount),
UniqueHostCount: safeInt64Count(uniqueHostCount),
BytesSent: safeInt64Count(bytesSent),
@@ -307,6 +307,9 @@ func (s *gormLogStore) BucketAggregates(ctx context.Context, query model.OpenFla
SuccessCount int64
ClientErrorCount int64
ServerErrorCount int64
Status2xxCount int64 `gorm:"column:status_2xx_count"`
Status4xxCount int64 `gorm:"column:status_4xx_count"`
Status5xxCount int64 `gorm:"column:status_5xx_count"`
UniqueIPCount int64
UniqueHostCount int64
BytesSent int64
@@ -322,6 +325,9 @@ func (s *gormLogStore) BucketAggregates(ctx context.Context, query model.OpenFla
"COUNT(*) FILTER (WHERE status_code < 400) AS success_count, " +
"COUNT(*) FILTER (WHERE status_code >= 400 AND status_code < 500) AS client_error_count, " +
"COUNT(*) FILTER (WHERE status_code >= 500) AS server_error_count, " +
"COUNT(*) FILTER (WHERE status_code >= 200 AND status_code < 300) AS status_2xx_count, " +
"COUNT(*) FILTER (WHERE status_code >= 400 AND status_code < 500) AS status_4xx_count, " +
"COUNT(*) FILTER (WHERE status_code >= 500) AS status_5xx_count, " +
distinctNonEmptyCountSQL(s.db, "remote_addr") + " AS unique_ip_count, " +
distinctNonEmptyCountSQL(s.db, "host") + " AS unique_host_count, " +
"COALESCE(SUM(bytes_sent),0) AS bytes_sent, " +
@@ -338,6 +344,9 @@ func (s *gormLogStore) BucketAggregates(ctx context.Context, query model.OpenFla
SuccessCount: r.SuccessCount,
ClientErrorCount: r.ClientErrorCount,
ServerErrorCount: r.ServerErrorCount,
Status2xxCount: r.Status2xxCount,
Status4xxCount: r.Status4xxCount,
Status5xxCount: r.Status5xxCount,
UniqueIPCount: r.UniqueIPCount,
UniqueHostCount: r.UniqueHostCount,
BytesSent: r.BytesSent,
@@ -709,9 +709,9 @@ func TestGormBucketAggregatesFullFieldSet(t *testing.T) {
rows := []analyticsmodel.NodeAccessLog{
{ID: 1, NodeID: "n1", LoggedAt: base, RemoteAddr: "1.1.1.1", Host: "a.example.com", StatusCode: 200, BytesSent: 100, RequestLength: 10},
{ID: 2, NodeID: "n1", LoggedAt: base.Add(time.Minute), RemoteAddr: "1.1.1.1", Host: "a.example.com", StatusCode: 301, BytesSent: 200, RequestLength: 20},
{ID: 3, NodeID: "n1", LoggedAt: base.Add(2 * time.Minute), RemoteAddr: "2.2.2.2", Host: "b.example.com", StatusCode: 404, BytesSent: 300, RequestLength: 30},
{ID: 3, NodeID: "n1", LoggedAt: base.Add(2 * time.Minute), RemoteAddr: "2.2.2.2", Host: "b.example.com", StatusCode: 400, BytesSent: 300, RequestLength: 30},
{ID: 4, NodeID: "n1", LoggedAt: base.Add(3 * time.Minute), RemoteAddr: "", Host: "b.example.com", StatusCode: 500, BytesSent: 400, RequestLength: 40},
{ID: 5, NodeID: "n1", LoggedAt: base.Add(4 * time.Minute), RemoteAddr: "3.3.3.3", Host: "c.example.com", StatusCode: 502, BytesSent: 500, RequestLength: 50},
{ID: 5, NodeID: "n1", LoggedAt: base.Add(4 * time.Minute), RemoteAddr: "3.3.3.3", Host: "c.example.com", StatusCode: 500, BytesSent: 500, RequestLength: 50},
{ID: 6, NodeID: "n2", LoggedAt: base.Add(time.Hour), RemoteAddr: "9.9.9.9", Host: "d.example.com", StatusCode: 200, BytesSent: 999, RequestLength: 99},
}
if err := s.BatchInsertNodeAccessLogs(ctx, rows); err != nil {
@@ -741,6 +741,10 @@ func TestGormBucketAggregatesFullFieldSet(t *testing.T) {
if b.ServerErrorCount != 2 {
t.Errorf("server_error_count = %d, want 2", b.ServerErrorCount)
}
if b.Status2xxCount != 1 || b.Status4xxCount != 1 || b.Status5xxCount != 2 {
t.Errorf("status class counts = 2xx:%d 4xx:%d 5xx:%d, want 1/1/2 (200/301/400/500/500)",
b.Status2xxCount, b.Status4xxCount, b.Status5xxCount)
}
if b.UniqueIPCount != 3 {
t.Errorf("unique_ip_count = %d, want 3 (empty remote_addr excluded)", b.UniqueIPCount)
}
@@ -258,6 +258,9 @@ func buildOpenFlareAccessLogBucketRows(ctx context.Context, query model.OpenFlar
SuccessCount: partial.SuccessCount,
ClientErrorCount: partial.ClientErrorCount,
ServerErrorCount: partial.ServerErrorCount,
Status2xxCount: partial.Status2xxCount,
Status4xxCount: partial.Status4xxCount,
Status5xxCount: partial.Status5xxCount,
BytesSent: partial.BytesSent,
RequestLength: partial.RequestLength,
})