fix: 恢复腾讯云账单同步并完善成本预测

- 接入腾讯云单日账单、全局限频和指数退避

- 修正月末费用预测并增加账期提示和费用归因

- 补充腾讯云限频及账单归因回归测试
This commit is contained in:
Logan.Li committed 2026-07-29 05:44:40 +08:00
1 parent 88c41f0b2b
commit dd3770a66c
15 files changed
+610 -17

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+7 -4
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@@ -16,13 +16,16 @@ type BillingFetcher interface {
FetchDailyBill(billingDate string) ([]CloudBillingRecord, error) FetchDailyBill(billingDate string) ([]CloudBillingRecord, error)
} }
// SupportedBillingProviders 已接入账单 API 的云厂商列表。 // Logan.Li
var SupportedBillingProviders = []string{"aliyun", "tencent"}
// NewBillingFetcher 根据云厂商创建账单拉取器 // NewBillingFetcher 根据云厂商创建账单拉取器
func NewBillingFetcher(provider, accessKey, secretKey string) BillingFetcher { func NewBillingFetcher(provider, accessKey, secretKey string) BillingFetcher {
switch provider { switch provider {
case "aliyun": case "aliyun":
if p := NewAliyunProvider(accessKey, secretKey); p != nil { return NewAliyunProvider(accessKey, secretKey)
return p case "tencent":
} return NewTencentProvider(accessKey, secretKey)
} }
return nil return nil
} }
+64 -1
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@@ -5,17 +5,39 @@ import (
"crypto/sha256" "crypto/sha256"
"encoding/hex" "encoding/hex"
"encoding/json" "encoding/json"
"errors"
"fmt" "fmt"
"io" "io"
"net/http" "net/http"
"sort" "sort"
"strings" "strings"
"sync"
"time" "time"
) )
// TencentProvider 通过腾讯云 TC3-HMAC-SHA256 API 同步 CVM 资源。 // Logan.Li // TencentProvider 通过腾讯云 TC3-HMAC-SHA256 API 同步 CVM 资源。 // Logan.Li
type TencentProvider struct{ accessKey, secretKey string } type TencentProvider struct{ accessKey, secretKey string }
const (
tencentRequestInterval = 260 * time.Millisecond
tencentMaxAttempts = 4
)
var tencentLimiter = struct {
sync.Mutex
next time.Time
}{}
// tencentAPIError 保留腾讯云错误码,便于对限频错误做退避重试。 // Logan.Li
type tencentAPIError struct {
Code string
Message string
}
func (e *tencentAPIError) Error() string {
return fmt.Sprintf("腾讯云 API 错误 %s: %s", e.Code, e.Message)
}
// tencentInstancesResponse 描述腾讯云 CVM 实例分页响应。 // Logan.Li // tencentInstancesResponse 描述腾讯云 CVM 实例分页响应。 // Logan.Li
type tencentInstancesResponse struct { type tencentInstancesResponse struct {
Response struct { Response struct {
@@ -58,6 +80,44 @@ func (p *TencentProvider) callInRegion(region, action string, payload interface{
// callService 使用 TC3-HMAC-SHA256 调用腾讯云服务 API。 // Logan.Li // callService 使用 TC3-HMAC-SHA256 调用腾讯云服务 API。 // Logan.Li
func (p *TencentProvider) callService(service, host, version, action, region string, payload interface{}) ([]byte, error) { func (p *TencentProvider) callService(service, host, version, action, region string, payload interface{}) ([]byte, error) {
var lastErr error
for attempt := 0; attempt < tencentMaxAttempts; attempt++ {
waitTencentRequestSlot()
data, err := p.callServiceOnce(service, host, version, action, region, payload)
if err == nil {
return data, nil
}
lastErr = err
delay, retry := tencentRetryDelay(err, attempt)
if !retry {
return nil, err
}
time.Sleep(delay)
}
return nil, lastErr
}
// waitTencentRequestSlot 将进程内所有腾讯云请求统一限速在每秒 4 次以内。 // Logan.Li
func waitTencentRequestSlot() {
tencentLimiter.Lock()
defer tencentLimiter.Unlock()
if delay := time.Until(tencentLimiter.next); delay > 0 {
time.Sleep(delay)
}
tencentLimiter.next = time.Now().Add(tencentRequestInterval)
}
// tencentRetryDelay 对 RequestLimitExceeded 使用指数退避,其他错误立即返回。 // Logan.Li
func tencentRetryDelay(err error, attempt int) (time.Duration, bool) {
var apiErr *tencentAPIError
if !errors.As(err, &apiErr) || !strings.HasPrefix(apiErr.Code, "RequestLimitExceeded") || attempt >= tencentMaxAttempts-1 {
return 0, false
}
return (500 * time.Millisecond) * time.Duration(1<<attempt), true
}
// callServiceOnce 执行一次腾讯云 TC3-HMAC-SHA256 签名请求。 // Logan.Li
func (p *TencentProvider) callServiceOnce(service, host, version, action, region string, payload interface{}) ([]byte, error) {
body, err := json.Marshal(payload) body, err := json.Marshal(payload)
if err != nil { if err != nil {
return nil, fmt.Errorf("编码腾讯云请求失败: %w", err) return nil, fmt.Errorf("编码腾讯云请求失败: %w", err)
@@ -95,6 +155,9 @@ func (p *TencentProvider) callService(service, host, version, action, region str
return nil, fmt.Errorf("读取腾讯云响应失败: %w", err) return nil, fmt.Errorf("读取腾讯云响应失败: %w", err)
} }
if resp.StatusCode < 200 || resp.StatusCode >= 300 { if resp.StatusCode < 200 || resp.StatusCode >= 300 {
if resp.StatusCode == http.StatusTooManyRequests {
return nil, &tencentAPIError{Code: "RequestLimitExceeded.HTTP429", Message: string(data)}
}
return nil, fmt.Errorf("腾讯云 API 返回 HTTP %d: %s", resp.StatusCode, string(data)) return nil, fmt.Errorf("腾讯云 API 返回 HTTP %d: %s", resp.StatusCode, string(data))
} }
var envelope struct { var envelope struct {
@@ -106,7 +169,7 @@ func (p *TencentProvider) callService(service, host, version, action, region str
} `json:"Response"` } `json:"Response"`
} }
if json.Unmarshal(data, &envelope) == nil && envelope.Response.Error != nil { if json.Unmarshal(data, &envelope) == nil && envelope.Response.Error != nil {
return nil, fmt.Errorf("腾讯云 API 错误 %s: %s", envelope.Response.Error.Code, envelope.Response.Error.Message) return nil, &tencentAPIError{Code: envelope.Response.Error.Code, Message: envelope.Response.Error.Message}
} }
return data, nil return data, nil
} }
+138
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@@ -0,0 +1,138 @@
package cloud
import (
"encoding/json"
"fmt"
"math"
"sort"
"strconv"
"strings"
)
// FetchDailyBill 拉取指定日期的腾讯云日账单,并按产品和地域汇总。 // Logan.Li
func (p *TencentProvider) FetchDailyBill(billingDate string) ([]CloudBillingRecord, error) {
if len(billingDate) != 10 {
return nil, fmt.Errorf("账单日期格式应为 YYYY-MM-DD")
}
type aggregationKey struct {
service string
region string
}
aggregation := map[aggregationKey]float64{}
const pageSize = 100
for offset := 0; ; offset += pageSize {
// DescribeBillDetail 不支持 Day 参数,使用账期和起止时间限定单日范围。 // Logan.Li
body, err := p.callService("billing", "billing.tencentcloudapi.com", "2018-07-09", "DescribeBillDetail", "", map[string]interface{}{
"Month": billingDate[:7],
"BeginTime": billingDate + " 00:00:00",
"EndTime": billingDate + " 23:59:59",
"Offset": offset,
"Limit": pageSize,
"NeedRecordNum": 1,
})
if err != nil {
return nil, err
}
var response tencentBillDetailResponse
if err := json.Unmarshal(body, &response); err != nil {
return nil, fmt.Errorf("解析腾讯云账单响应失败: %w", err)
}
for _, detail := range response.Response.DetailSet {
cost := tencentBillAmount(detail.RealTotalCost)
if cost == 0 {
cost = tencentBillAmount(detail.RealCost)
}
if cost == 0 {
cost = tencentBillAmount(detail.CashPayAmount)
}
if cost == 0 {
// 腾讯云明细账单将组件费用放在 ComponentSet,逐项汇总实际费用。 // Logan.Li
for _, component := range detail.ComponentSet {
componentCost := tencentBillAmount(component.RealCost)
if componentCost == 0 {
componentCost = tencentBillAmount(component.CashPayAmount)
}
cost += componentCost
}
}
if cost <= 0 {
continue
}
service := firstNonEmpty(detail.ProductCodeName, detail.BusinessCodeName, detail.ProductCode, "其他")
region := firstNonEmpty(detail.RegionName, "全局")
aggregation[aggregationKey{service: service, region: region}] += cost
}
if len(response.Response.DetailSet) < pageSize || (response.Response.Total > 0 && offset+pageSize >= response.Response.Total) {
break
}
}
keys := make([]aggregationKey, 0, len(aggregation))
for key := range aggregation {
keys = append(keys, key)
}
sort.Slice(keys, func(i, j int) bool {
if keys[i].service == keys[j].service {
return keys[i].region < keys[j].region
}
return keys[i].service < keys[j].service
})
records := make([]CloudBillingRecord, 0, len(keys))
for _, key := range keys {
records = append(records, CloudBillingRecord{
BillingDate: billingDate,
Provider: "tencent",
Cost: math.Round(aggregation[key]*100) / 100,
Currency: "CNY",
Service: key.service,
Region: key.region,
Description: "云 API 自动同步(腾讯云 DescribeBillDetail)",
})
}
return records, nil
}
// tencentBillDetailResponse 描述腾讯云费用中心明细账单响应。 // Logan.Li
type tencentBillDetailResponse struct {
Response struct {
Total int `json:"Total"`
DetailSet []struct {
ProductCode string `json:"ProductCode"`
ProductCodeName string `json:"ProductCodeName"`
BusinessCodeName string `json:"BusinessCodeName"`
RegionName string `json:"RegionName"`
RealTotalCost json.RawMessage `json:"RealTotalCost"`
RealCost json.RawMessage `json:"RealCost"`
CashPayAmount json.RawMessage `json:"CashPayAmount"`
ComponentSet []struct {
RealCost json.RawMessage `json:"RealCost"`
CashPayAmount json.RawMessage `json:"CashPayAmount"`
} `json:"ComponentSet"`
} `json:"DetailSet"`
} `json:"Response"`
}
// tencentBillAmount 兼容腾讯云账单金额字段为字符串或数字的响应。 // Logan.Li
func tencentBillAmount(raw json.RawMessage) float64 {
value := strings.Trim(strings.TrimSpace(string(raw)), "\"")
amount, err := strconv.ParseFloat(value, 64)
if err != nil {
return 0
}
return amount
}
// firstNonEmpty 返回首个非空文本,用于兼容不同账单产品字段。 // Logan.Li
func firstNonEmpty(values ...string) string {
for _, value := range values {
if text := strings.TrimSpace(value); text != "" {
return text
}
}
return ""
}
+28
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@@ -0,0 +1,28 @@
package cloud
import (
"errors"
"testing"
"time"
)
// TestTencentRetryDelay 验证限频错误指数退避与最大重试次数。 // Logan.Li
func TestTencentRetryDelay(t *testing.T) {
rateLimitErr := &tencentAPIError{Code: "RequestLimitExceeded", Message: "frequency limit"}
delay, retry := tencentRetryDelay(rateLimitErr, 0)
if !retry || delay != 500*time.Millisecond {
t.Fatalf("首次限频退避错误: retry=%v delay=%s", retry, delay)
}
delay, retry = tencentRetryDelay(rateLimitErr, 2)
if !retry || delay != 2*time.Second {
t.Fatalf("第三次限频退避错误: retry=%v delay=%s", retry, delay)
}
if _, retry = tencentRetryDelay(rateLimitErr, tencentMaxAttempts-1); retry {
t.Fatal("达到最大次数后不应继续重试")
}
if _, retry = tencentRetryDelay(errors.New("鉴权失败"), 0); retry {
t.Fatal("非限频错误不应重试")
}
}
+160
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@@ -0,0 +1,160 @@
package controller
import (
"fmt"
"math"
"net/http"
"sort"
"time"
"ezops/model"
"github.com/gin-gonic/gin"
)
// billingMonthCost 表示月度费用汇总。 // Logan.Li
type billingMonthCost struct {
Month string `json:"month"`
Cost float64 `json:"cost"`
}
// billingAttribution 表示可复核的费用变化归因。 // Logan.Li
type billingAttribution struct {
Dimension string `json:"dimension"`
Name string `json:"name"`
BaselineCost float64 `json:"baseline_cost"`
CurrentCost float64 `json:"current_cost"`
Delta float64 `json:"delta"`
Contribution float64 `json:"contribution"`
}
// GetBillingCostAnalysis 返回月度趋势和同期费用归因,AI 只负责解释确定性结果。 // Logan.Li
func (h *BillingHandler) GetBillingCostAnalysis(c *gin.Context) {
now := time.Now()
currentStart := time.Date(now.Year(), now.Month(), 1, 0, 0, 0, 0, now.Location())
baselineStart := currentStart.AddDate(0, -1, 0)
baselineEndDay := now.Day()
baselineLastDay := baselineStart.AddDate(0, 1, -1).Day()
if baselineEndDay > baselineLastDay {
baselineEndDay = baselineLastDay
}
baselineEnd := time.Date(baselineStart.Year(), baselineStart.Month(), baselineEndDay, 23, 59, 59, 0, now.Location())
analysisStart := currentStart.AddDate(0, -5, 0)
currency := c.DefaultQuery("currency", "CNY")
query := h.db.Model(&model.CloudBilling{}).Where("billing_date >= ? AND currency = ?", analysisStart.Format("2006-01-02"), currency)
type monthRow struct {
Month string
Cost float64
}
var monthRows []monthRow
query.Select("SUBSTR(billing_date, 1, 7) AS month, COALESCE(SUM(cost), 0) AS cost").
Group("SUBSTR(billing_date, 1, 7)").Order("month ASC").Scan(&monthRows)
months := make([]billingMonthCost, 0, len(monthRows))
for _, row := range monthRows {
months = append(months, billingMonthCost{Month: row.Month, Cost: roundBilling(row.Cost)})
}
baselineStartDate := baselineStart.Format("2006-01-02")
baselineEndDate := baselineEnd.Format("2006-01-02")
currentStartDate := currentStart.Format("2006-01-02")
currentEndDate := now.Format("2006-01-02")
baselineCost := h.sumBillingPeriod(baselineStartDate, baselineEndDate, currency)
currentCost := h.sumBillingPeriod(currentStartDate, currentEndDate, currency)
totalDelta := currentCost - baselineCost
attributions := make([]billingAttribution, 0, 24)
for _, dimension := range []string{"provider", "account_name", "service", "region"} {
attributions = append(attributions, h.billingDimensionAttribution(
dimension, baselineStartDate, baselineEndDate, currentStartDate, currentEndDate, currency, totalDelta,
)...)
}
sort.Slice(attributions, func(i, j int) bool {
return math.Abs(attributions[i].Delta) > math.Abs(attributions[j].Delta)
})
if len(attributions) > 20 {
attributions = attributions[:20]
}
var dataThrough string
h.db.Model(&model.CloudBilling{}).Where("currency = ?", currency).Select("COALESCE(MAX(billing_date), '')").Scan(&dataThrough)
c.JSON(http.StatusOK, model.Response{Code: 200, Message: "success", Data: gin.H{
"analysis_start": analysisStart.Format("2006-01-02"),
"analysis_end": currentEndDate,
"data_through": dataThrough,
"currency": currency,
"incomplete_period": true,
"months": months,
"baseline_period": fmt.Sprintf("%s - %s", baselineStartDate, baselineEndDate),
"comparison_period": fmt.Sprintf("%s - %s", currentStartDate, currentEndDate),
"baseline_cost": roundBilling(baselineCost),
"comparison_cost": roundBilling(currentCost),
"total_delta": roundBilling(totalDelta),
"attributions": attributions,
"contribution_formula": "(当前期费用 - 基准期费用) / (当前期总费用 - 基准期总费用)",
}})
}
// sumBillingPeriod 汇总指定币种和日期范围费用。 // Logan.Li
func (h *BillingHandler) sumBillingPeriod(startDate, endDate, currency string) float64 {
var total float64
h.db.Model(&model.CloudBilling{}).
Where("billing_date BETWEEN ? AND ? AND currency = ?", startDate, endDate, currency).
Select("COALESCE(SUM(cost), 0)").Scan(&total)
return total
}
// billingDimensionAttribution 计算单一维度的同期费用变化贡献。 // Logan.Li
func (h *BillingHandler) billingDimensionAttribution(dimension, baselineStart, baselineEnd, currentStart, currentEnd, currency string, totalDelta float64) []billingAttribution {
type dimensionRow struct {
Name string
Cost float64
}
load := func(startDate, endDate string) []dimensionRow {
var rows []dimensionRow
h.db.Model(&model.CloudBilling{}).
Select(dimension+" AS name, COALESCE(SUM(cost), 0) AS cost").
Where("billing_date BETWEEN ? AND ? AND currency = ?", startDate, endDate, currency).
Group(dimension).Scan(&rows)
return rows
}
baseline := map[string]float64{}
current := map[string]float64{}
for _, row := range load(baselineStart, baselineEnd) {
baseline[row.Name] = row.Cost
}
for _, row := range load(currentStart, currentEnd) {
current[row.Name] = row.Cost
}
for name := range baseline {
if _, ok := current[name]; !ok {
current[name] = 0
}
}
result := make([]billingAttribution, 0, len(current))
for rawName, currentCost := range current {
name := rawName
if rawName == "" {
name = "未分类"
}
baselineCost := baseline[rawName]
delta := currentCost - baselineCost
if math.Abs(delta) < 0.01 {
continue
}
contribution := 0.0
if math.Abs(totalDelta) >= 0.01 {
contribution = delta / totalDelta * 100
}
result = append(result, billingAttribution{
Dimension: dimension, Name: name, BaselineCost: roundBilling(baselineCost),
CurrentCost: roundBilling(currentCost), Delta: roundBilling(delta), Contribution: roundBilling(contribution),
})
}
return result
}
// roundBilling 统一费用和百分比精度。 // Logan.Li
func roundBilling(value float64) float64 {
return math.Round(value*100) / 100
}
@@ -0,0 +1,45 @@
package controller
import (
"testing"
"ezops/model"
"github.com/glebarez/sqlite"
"gorm.io/gorm"
)
// TestBillingDimensionAttribution 验证费用变化额和贡献度使用数据库完整数据计算。 // Logan.Li
func TestBillingDimensionAttribution(t *testing.T) {
db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{})
if err != nil {
t.Fatalf("打开测试数据库失败: %v", err)
}
if err = db.AutoMigrate(&model.CloudBilling{}); err != nil {
t.Fatalf("迁移账单表失败: %v", err)
}
records := []model.CloudBilling{
{BillingDate: "2026-06-01", Provider: "tencent", Service: "CVM", Region: "广州", AccountName: "预发", Currency: "CNY", Cost: 100},
{BillingDate: "2026-07-01", Provider: "tencent", Service: "CVM", Region: "广州", AccountName: "预发", Currency: "CNY", Cost: 180},
{BillingDate: "2026-07-01", Provider: "tencent", Service: "COS", Region: "广州", AccountName: "预发", Currency: "CNY", Cost: 20},
}
if err = db.Create(&records).Error; err != nil {
t.Fatalf("写入测试账单失败: %v", err)
}
handler := NewBillingHandler(db)
items := handler.billingDimensionAttribution("service", "2026-06-01", "2026-06-30", "2026-07-01", "2026-07-31", "CNY", 100)
if len(items) != 2 {
t.Fatalf("归因项数量错误: got=%d want=2", len(items))
}
result := map[string]billingAttribution{}
for _, item := range items {
result[item.Name] = item
}
if result["CVM"].Delta != 80 || result["CVM"].Contribution != 80 {
t.Fatalf("CVM 归因错误: %+v", result["CVM"])
}
if result["COS"].Delta != 20 || result["COS"].Contribution != 20 {
t.Fatalf("COS 归因错误: %+v", result["COS"])
}
}
+4 -1
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@@ -37,6 +37,9 @@ func SyncDate(db *gorm.DB, billingDate string, accountID *uint) Result {
q := db.Where("status = ?", "active") q := db.Where("status = ?", "active")
if accountID != nil { if accountID != nil {
q = q.Where("id = ?", *accountID) q = q.Where("id = ?", *accountID)
} else {
// 批量同步只选择已接入账单 API 的厂商,避免无效失败。 // Logan.Li
q = q.Where("provider IN ?", cloud.SupportedBillingProviders)
} }
q.Find(&accounts) q.Find(&accounts)
result.Accounts = len(accounts) result.Accounts = len(accounts)
@@ -138,4 +141,4 @@ func syncAccount(db *gorm.DB, account model.CloudAccount, billingDate string) (c
db.Model(&account).Update("monthly_cost", monthCost) db.Model(&account).Update("monthly_cost", monthCost)
return created, updated, skipped, nil return created, updated, skipped, nil
} }
+1
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@@ -323,6 +323,7 @@ func Register(r *gin.Engine, db *gorm.DB, log *zap.Logger, cfg *config.Config, c
billings.POST("/batch", billingHandler.BatchCreateBillings) billings.POST("/batch", billingHandler.BatchCreateBillings)
billings.DELETE("/:id", billingHandler.DeleteBilling) billings.DELETE("/:id", billingHandler.DeleteBilling)
billings.GET("/stats", billingHandler.GetBillingStats) billings.GET("/stats", billingHandler.GetBillingStats)
billings.GET("/cost-analysis", billingHandler.GetBillingCostAnalysis)
billings.GET("/providers", billingHandler.GetProviderOptions) billings.GET("/providers", billingHandler.GetProviderOptions)
billings.POST("/sync", billingHandler.SyncYesterdayBillings) billings.POST("/sync", billingHandler.SyncYesterdayBillings)
} }
+4 -1
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@@ -6,6 +6,9 @@ export const billingApi = {
getStats: async () => { getStats: async () => {
return http.get('/cloud-billings/stats'); return http.get('/cloud-billings/stats');
}, },
getCostAnalysis: async () => {
return http.get('/cloud-billings/cost-analysis');
},
list: async (params?: { provider?: string; cloud_account_id?: number; start_date?: string; end_date?: string; page?: number; page_size?: number }) => { list: async (params?: { provider?: string; cloud_account_id?: number; start_date?: string; end_date?: string; page?: number; page_size?: number }) => {
return http.get<ListResponse>('/cloud-billings', params); return http.get<ListResponse>('/cloud-billings', params);
}, },
@@ -47,4 +50,4 @@ export const billingApi = {
toggleAlertRule: async (id: number | string) => { toggleAlertRule: async (id: number | string) => {
return http.post(`/billing-alerts/${id}/toggle`); return http.post(`/billing-alerts/${id}/toggle`);
}, },
}; };
@@ -54,6 +54,7 @@ export function AIPredictiveAnalytics() {
const [billingStats, setBillingStats] = useState<JsonData | null>(null); const [billingStats, setBillingStats] = useState<JsonData | null>(null);
const [billingRecords, setBillingRecords] = useState<JsonData[]>([]); const [billingRecords, setBillingRecords] = useState<JsonData[]>([]);
const [billingAlertRules, setBillingAlertRules] = useState<JsonData[]>([]); const [billingAlertRules, setBillingAlertRules] = useState<JsonData[]>([]);
const [costAnalysis, setCostAnalysis] = useState<JsonData | null>(null);
useEffect(() => { useEffect(() => {
void loadData(); void loadData();
@@ -66,12 +67,13 @@ export function AIPredictiveAnalytics() {
start.setDate(start.getDate() - 89); start.setDate(start.getDate() - 89);
const startDate = start.toISOString().slice(0, 10); const startDate = start.toISOString().slice(0, 10);
const [metricsData, statsResp, billStats, billList, billRules] = await Promise.all([ const [metricsData, statsResp, billStats, billList, billRules, analysis] = await Promise.all([
dashboardStatsApi.getMetrics(72), dashboardStatsApi.getMetrics(72),
serverApi.getServerStats(), serverApi.getServerStats(),
billingApi.getStats().catch(() => null), billingApi.getStats().catch(() => null),
billingApi.list({ start_date: startDate, page_size: 500 }).catch(() => ({ list: [] })), billingApi.list({ start_date: startDate, page_size: 500 }).catch(() => ({ list: [] })),
billingApi.listAlertRules().catch(() => ({ list: [] })), billingApi.listAlertRules().catch(() => ({ list: [] })),
billingApi.getCostAnalysis().catch(() => null),
]); ]);
setRawMetrics(Array.isArray(metricsData) ? metricsData : []); setRawMetrics(Array.isArray(metricsData) ? metricsData : []);
@@ -79,6 +81,7 @@ export function AIPredictiveAnalytics() {
setBillingStats(billStats); setBillingStats(billStats);
setBillingRecords((billList as JsonData)?.list || []); setBillingRecords((billList as JsonData)?.list || []);
setBillingAlertRules((billRules as JsonData)?.list || []); setBillingAlertRules((billRules as JsonData)?.list || []);
setCostAnalysis(analysis);
} catch { } catch {
// 保持空数据,组件显示空状态 // 保持空数据,组件显示空状态
} finally { } finally {
@@ -104,8 +107,9 @@ export function AIPredictiveAnalytics() {
billingStats, billingStats,
billingRecords, billingRecords,
billingAlertRules, billingAlertRules,
costAnalysis,
}), }),
[billingStats, billingRecords, billingAlertRules], [billingStats, billingRecords, billingAlertRules, costAnalysis],
); );
const getTrendIcon = (trend: string) => { const getTrendIcon = (trend: string) => {
@@ -259,4 +263,4 @@ export function AIPredictiveAnalytics() {
</Tabs> </Tabs>
</PageShell> </PageShell>
); );
} }
@@ -38,7 +38,7 @@ export function PredictiveCostTab({
const { t } = useTranslation(); const { t } = useTranslation();
const [insight, setInsight] = useState(''); const [insight, setInsight] = useState('');
const [analyzing, setAnalyzing] = useState(false); const [analyzing, setAnalyzing] = useState(false);
const { summary, dimensionForecasts, budgetRisks, billingPattern, recentDailyAvg } = costData; const { summary, dimensionForecasts, budgetRisks, billingPattern, recentDailyAvg, costAnalysis } = costData;
const hasData = summary.monthCost > 0 || summary.monthTrend.length > 0; const hasData = summary.monthCost > 0 || summary.monthTrend.length > 0;
const getTrendIcon = (trend: string) => { const getTrendIcon = (trend: string) => {
@@ -129,6 +129,17 @@ export function PredictiveCostTab({
</div> </div>
)} )}
{costAnalysis?.incomplete_period && (
<div className="flex items-start gap-2 text-sm dg-text-secondary">
<AlertTriangle className="h-4 w-4 dg-text-yellow shrink-0 mt-0.5" />
<span>
{t('aiops.costPredict.incompletePeriod', {
date: costAnalysis.data_through || costAnalysis.analysis_end,
})}
</span>
</div>
)}
<div className="grid grid-cols-2 md:grid-cols-4 gap-3"> <div className="grid grid-cols-2 md:grid-cols-4 gap-3">
<div className="p-3 rounded-lg border border-[var(--dg-border)] bg-[var(--dg-bg-tertiary)]/50"> <div className="p-3 rounded-lg border border-[var(--dg-border)] bg-[var(--dg-bg-tertiary)]/50">
<p className="text-xs dg-text-muted mb-1">{t('aiops.predictivecost.s7g8h9i0j')}</p> <p className="text-xs dg-text-muted mb-1">{t('aiops.predictivecost.s7g8h9i0j')}</p>
@@ -172,6 +183,58 @@ export function PredictiveCostTab({
</CardContent> </CardContent>
</Card> </Card>
{!loading && costAnalysis && costAnalysis.attributions.length > 0 && (
<Card className="dg-card">
<CardHeader className="pb-3">
<CardTitle className="text-[var(--dg-text-primary)] text-base">
{t('aiops.costPredict.costAttribution')}
</CardTitle>
</CardHeader>
<CardContent className="space-y-4">
<div className="grid grid-cols-1 sm:grid-cols-3 gap-3 text-sm">
<div>
<p className="text-xs dg-text-muted">{t('aiops.costPredict.baselinePeriod')}</p>
<p className="font-semibold text-[var(--dg-text-primary)]">
{formatCurrency(costAnalysis.baseline_cost)}
</p>
<p className="text-xs dg-text-muted mt-1">{costAnalysis.baseline_period}</p>
</div>
<div>
<p className="text-xs dg-text-muted">{t('aiops.costPredict.comparisonPeriod')}</p>
<p className="font-semibold text-[var(--dg-text-primary)]">
{formatCurrency(costAnalysis.comparison_cost)}
</p>
<p className="text-xs dg-text-muted mt-1">{costAnalysis.comparison_period}</p>
</div>
<div>
<p className="text-xs dg-text-muted">{t('aiops.costPredict.costChange')}</p>
<p className={`font-semibold ${costAnalysis.total_delta > 0 ? 'dg-text-red' : 'dg-text-green'}`}>
{costAnalysis.total_delta > 0 ? '+' : ''}{formatCurrency(costAnalysis.total_delta)}
</p>
</div>
</div>
<div className="space-y-2">
{costAnalysis.attributions.slice(0, 6).map((item) => (
<div key={`${item.dimension}-${item.name}`} className="flex items-center justify-between gap-3 text-sm py-1">
<div className="min-w-0">
<span className="dg-text-muted mr-2">
{t(`aiops.costPredict.dimension.${item.dimension}`, { defaultValue: item.dimension })}
</span>
<span className="text-[var(--dg-text-primary)] break-words">{item.name}</span>
</div>
<div className="shrink-0 text-right">
<span className={item.delta > 0 ? 'dg-text-red' : 'dg-text-green'}>
{item.delta > 0 ? '+' : ''}{formatCurrency(item.delta)}
</span>
<span className="dg-text-muted ml-2">{item.contribution.toFixed(1)}%</span>
</div>
</div>
))}
</div>
</CardContent>
</Card>
)}
{!loading && dimensionForecasts.length > 0 && ( {!loading && dimensionForecasts.length > 0 && (
<Card className="dg-card"> <Card className="dg-card">
<CardHeader className="pb-3"> <CardHeader className="pb-3">
@@ -345,4 +408,4 @@ export function PredictiveCostTab({
)} )}
</div> </div>
); );
} }
+33 -5
View File
@@ -8,6 +8,7 @@ import type {
CostPredictionSummary, CostPredictionSummary,
ComputedCostPredictions, ComputedCostPredictions,
ComputeCostPredictionsInput, ComputeCostPredictionsInput,
CostAnalysis,
} from './predict-types'; } from './predict-types';
/** /**
@@ -166,9 +167,18 @@ function forecastMonthEnd(
const dailyAvg = costs.length > 0 ? costs.reduce((a, b) => a + b, 0) / costs.length : 0; const dailyAvg = costs.length > 0 ? costs.reduce((a, b) => a + b, 0) / costs.length : 0;
const recentDailyAvg = recentRunRate(series); const recentDailyAvg = recentRunRate(series);
const billingPattern = detectBillingPattern(series); const billingPattern = detectBillingPattern(series);
// 预付费/前高后平:用近 7 日运行费率外推,避免线性回归高估或矛盾 // Logan.Li // 稳态账单逐日累加回归预测值,不能把斜率本身误当成每日费用。 // Logan.Li
const extrapolation = const intercept = dailyAvg - slope * ((costs.length - 1) / 2);
billingPattern === 'front_loaded' ? recentDailyAvg * daysLeft : slope * daysLeft; const maxDaily = Math.max(dailyAvg, recentDailyAvg, ...costs, 1) * 3;
let extrapolation = 0;
if (billingPattern === 'front_loaded') {
extrapolation = recentDailyAvg * daysLeft;
} else {
for (let day = 0; day < daysLeft; day += 1) {
const projectedDaily = intercept + slope * (costs.length + day);
extrapolation += Math.max(0, Math.min(maxDaily, projectedDaily));
}
}
const predictedMonthEnd = Math.max(0, Math.round((currentMonth + extrapolation) * 100) / 100); const predictedMonthEnd = Math.max(0, Math.round((currentMonth + extrapolation) * 100) / 100);
let confidence = Math.round(55 + r2 * 40); let confidence = Math.round(55 + r2 * 40);
if (billingPattern === 'front_loaded') confidence = Math.max(45, confidence - 15); if (billingPattern === 'front_loaded') confidence = Math.max(45, confidence - 15);
@@ -192,7 +202,7 @@ function forecastMonthEnd(
* // Logan.Li * // Logan.Li
*/ */
export function computeCostPredictions(input: ComputeCostPredictionsInput): ComputedCostPredictions { export function computeCostPredictions(input: ComputeCostPredictionsInput): ComputedCostPredictions {
const { billingStats, billingRecords, billingAlertRules } = input; const { billingStats, billingRecords, billingAlertRules, costAnalysis } = input;
const empty: ComputedCostPredictions = { const empty: ComputedCostPredictions = {
summary: { summary: {
monthCost: 0, monthCost: 0,
@@ -212,6 +222,7 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
recentDailyAvg: 0, recentDailyAvg: 0,
billingPattern: 'sparse', billingPattern: 'sparse',
topServices: [], topServices: [],
costAnalysis: null,
}; };
if (!billingStats) return empty; if (!billingStats) return empty;
@@ -373,6 +384,7 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
recentDailyAvg: overall.recentDailyAvg, recentDailyAvg: overall.recentDailyAvg,
billingPattern: overall.billingPattern, billingPattern: overall.billingPattern,
topServices: topServicesByCost(billingRecords), topServices: topServicesByCost(billingRecords),
costAnalysis: costAnalysis ? (costAnalysis as unknown as CostAnalysis) : null,
}; };
} }
@@ -381,7 +393,7 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
* // Logan.Li * // Logan.Li
*/ */
export function buildCostInsightPrompt(data: ComputedCostPredictions): string { export function buildCostInsightPrompt(data: ComputedCostPredictions): string {
const { summary, dimensionForecasts, budgetRisks, recentDailyAvg, billingPattern, topServices } = data; const { summary, dimensionForecasts, budgetRisks, recentDailyAvg, billingPattern, topServices, costAnalysis } = data;
if (summary.monthCost <= 0 && dimensionForecasts.length === 0) return ''; if (summary.monthCost <= 0 && dimensionForecasts.length === 0) return '';
const patternHint = const patternHint =
@@ -418,6 +430,16 @@ export function buildCostInsightPrompt(data: ComputedCostPredictions): string {
topServices.length > 0 topServices.length > 0
? topServices.map((s) => i18n.t('aiops.costPredict.serviceLine', { service: s.service, cost: s.cost.toFixed(2) })) ? topServices.map((s) => i18n.t('aiops.costPredict.serviceLine', { service: s.service, cost: s.cost.toFixed(2) }))
: [`- ${i18n.t('aiops.costPredict.noServiceDetail')}`]; : [`- ${i18n.t('aiops.costPredict.noServiceDetail')}`];
const attributionLines = costAnalysis?.attributions?.length
? costAnalysis.attributions.slice(0, 8).map((item) =>
i18n.t('aiops.costPredict.attributionLine', {
dimension: item.dimension,
name: item.name,
delta: item.delta.toFixed(2),
contribution: item.contribution.toFixed(2),
}),
)
: [`- ${i18n.t('aiops.costPredict.noAttribution')}`];
return [ return [
i18n.t('aiops.costPredict.promptIntro'), i18n.t('aiops.costPredict.promptIntro'),
@@ -427,10 +449,16 @@ export function buildCostInsightPrompt(data: ComputedCostPredictions): string {
i18n.t('aiops.costPredict.predictedEnd', { amount: summary.predictedMonthEnd.toFixed(2), confidence: summary.confidence }), i18n.t('aiops.costPredict.predictedEnd', { amount: summary.predictedMonthEnd.toFixed(2), confidence: summary.confidence }),
i18n.t('aiops.costPredict.dailySummary', { dailyAvg: summary.dailyAvg.toFixed(2), recentAvg: recentDailyAvg.toFixed(2), daysRemaining: summary.daysRemaining }), i18n.t('aiops.costPredict.dailySummary', { dailyAvg: summary.dailyAvg.toFixed(2), recentAvg: recentDailyAvg.toFixed(2), daysRemaining: summary.daysRemaining }),
i18n.t('aiops.costPredict.billingPatternLabel', { hint: patternHint }), i18n.t('aiops.costPredict.billingPatternLabel', { hint: patternHint }),
costAnalysis?.incomplete_period
? i18n.t('aiops.costPredict.incompletePrompt', { date: costAnalysis.data_through })
: '',
'', '',
i18n.t('aiops.costPredict.sectionTopServices'), i18n.t('aiops.costPredict.sectionTopServices'),
...serviceLines, ...serviceLines,
'', '',
i18n.t('aiops.costPredict.sectionAttribution'),
...attributionLines,
'',
i18n.t('aiops.costPredict.sectionDimensionForecast'), i18n.t('aiops.costPredict.sectionDimensionForecast'),
...dimLines, ...dimLines,
'', '',
@@ -77,6 +77,31 @@ export interface CostPredictionSummary {
providerDist: { provider: string; cost: number; percent: number }[]; providerDist: { provider: string; cost: number; percent: number }[];
} }
/** 后端确定性费用归因结果。 // Logan.Li */
export interface CostAttribution {
dimension: string;
name: string;
baseline_cost: number;
current_cost: number;
delta: number;
contribution: number;
}
/** 同期成本分析,供页面展示并作为 AI 事实输入。 // Logan.Li */
export interface CostAnalysis {
analysis_start: string;
analysis_end: string;
data_through: string;
currency: string;
incomplete_period: boolean;
baseline_period: string;
comparison_period: string;
baseline_cost: number;
comparison_cost: number;
total_delta: number;
attributions: CostAttribution[];
}
export interface ComputedCostPredictions { export interface ComputedCostPredictions {
summary: CostPredictionSummary; summary: CostPredictionSummary;
dimensionForecasts: CostDimensionForecast[]; dimensionForecasts: CostDimensionForecast[];
@@ -88,6 +113,8 @@ export interface ComputedCostPredictions {
billingPattern: 'steady' | 'front_loaded' | 'sparse'; billingPattern: 'steady' | 'front_loaded' | 'sparse';
/** 本月 Top 服务消费 */ /** 本月 Top 服务消费 */
topServices: { service: string; cost: number }[]; topServices: { service: string; cost: number }[];
/** 后端按完整数据集计算的同期归因。 // Logan.Li */
costAnalysis: CostAnalysis | null;
} }
// ============ 容量预测入参/出参 ============ // ============ 容量预测入参/出参 ============
@@ -114,6 +141,7 @@ export interface ComputeCostPredictionsInput {
billingStats: JsonData | null; billingStats: JsonData | null;
billingRecords: JsonData[]; billingRecords: JsonData[];
billingAlertRules: JsonData[]; billingAlertRules: JsonData[];
costAnalysis?: JsonData | null;
} }
// ============ 共享常量 ============ // ============ 共享常量 ============
+13
View File
@@ -8795,6 +8795,19 @@
"costPredict.recRising": "Cost trending up, monitor new service spending", "costPredict.recRising": "Cost trending up, monitor new service spending",
"costPredict.recDeclining": "Cost declining, optimization is effective", "costPredict.recDeclining": "Cost declining, optimization is effective",
"costPredict.recStable": "Cost stable, maintain current strategy" "costPredict.recStable": "Cost stable, maintain current strategy"
,"costPredict.incompletePeriod": "The current billing period is incomplete. Data is available through {{date}} and the forecast will change as billing continues"
,"costPredict.incompletePrompt": "- Billing note: current period is incomplete; data through {{date}}"
,"costPredict.costAttribution": "Cost Change Attribution"
,"costPredict.baselinePeriod": "Baseline"
,"costPredict.comparisonPeriod": "Comparison"
,"costPredict.costChange": "Cost change"
,"costPredict.sectionAttribution": "[Cost Change Attribution]"
,"costPredict.noAttribution": "No comparable cost change attribution is available"
,"costPredict.attributionLine": "- {{dimension}} / {{name}}: change {{delta}} CNY, contribution {{contribution}}%"
,"costPredict.dimension.provider": "Provider"
,"costPredict.dimension.account_name": "Account"
,"costPredict.dimension.service": "Service"
,"costPredict.dimension.region": "Region"
}, },
"breadcrumb": { "breadcrumb": {
"aiAlertAnalyzer": "Alert Analysis", "aiAlertAnalyzer": "Alert Analysis",
+13
View File
@@ -8795,6 +8795,19 @@
"costPredict.recRising": "费用呈上升趋势,建议关注新增服务消费", "costPredict.recRising": "费用呈上升趋势,建议关注新增服务消费",
"costPredict.recDeclining": "费用持续下降,成本优化有效", "costPredict.recDeclining": "费用持续下降,成本优化有效",
"costPredict.recStable": "费用平稳,保持当前成本策略" "costPredict.recStable": "费用平稳,保持当前成本策略"
,"costPredict.incompletePeriod": "当前账期尚未结束,费用数据截至 {{date}},预测结果会随出账继续变化"
,"costPredict.incompletePrompt": "- 账期说明:当前账期未结束,数据截至 {{date}}"
,"costPredict.costAttribution": "费用变化归因"
,"costPredict.baselinePeriod": "基准期"
,"costPredict.comparisonPeriod": "对比期"
,"costPredict.costChange": "费用变化"
,"costPredict.sectionAttribution": "【费用变化归因】"
,"costPredict.noAttribution": "暂无可归因的同期费用变化"
,"costPredict.attributionLine": "- {{dimension}} / {{name}}:变化 {{delta}} 元,贡献 {{contribution}}%"
,"costPredict.dimension.provider": "云厂商"
,"costPredict.dimension.account_name": "账号"
,"costPredict.dimension.service": "服务"
,"costPredict.dimension.region": "区域"
}, },
"breadcrumb": { "breadcrumb": {
"aiAlertAnalyzer": "告警分析", "aiAlertAnalyzer": "告警分析",