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列表正文改为按需读取；保留完整导出、版本隔离和有效标签筛选。 验证：前端全量、Go全量及隔离PG全mirror竞态通过；覆盖首批回调、续载失败与筛选分页。
98 lines
4.0 KiB
Go
98 lines
4.0 KiB
Go
package qaopsmirror
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import (
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"knowledge-governance/internal/dobotaiops"
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"knowledge-governance/internal/qaopsquality"
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"time"
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)
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type DashboardCount struct {
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Label string `json:"label"`
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Count int `json:"count"`
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}
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type DashboardDaily struct {
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Date string `json:"date"`
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Count int `json:"count"`
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}
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type DashboardReported struct {
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Week string `json:"week"`
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WeekStart time.Time `json:"week_start"`
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WeekEnd time.Time `json:"week_end"`
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CoveragePercent float64 `json:"coverage_percent"`
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CorrectnessPercent float64 `json:"correctness_percent"`
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Source string `json:"source"`
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}
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type DashboardFrozen struct {
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WeekStart time.Time `json:"week_start"`
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WeekEnd time.Time `json:"week_end"`
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FrozenAt *time.Time `json:"frozen_at"`
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PolicyVersion string `json:"policy_version"`
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Records int `json:"records"`
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Coverage qaopsquality.Rate `json:"coverage"`
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Correctness qaopsquality.Rate `json:"correctness"`
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}
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type DashboardRegion struct {
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ID string `json:"id"`
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Name string `json:"name"`
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Questions int `json:"questions"`
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Users *int `json:"users"`
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RosterPeople *int `json:"roster_people"`
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Frequency *float64 `json:"frequency"`
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UsageCoverage qaopsquality.Rate `json:"usage_coverage"`
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}
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type Dashboard struct {
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Start time.Time `json:"start"`
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End time.Time `json:"end"`
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Keyword string `json:"keyword"`
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Filters map[string]string `json:"filters,omitempty"`
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AsOf time.Time `json:"as_of"`
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LocalRevision int64 `json:"local_revision"`
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Organization dobotaiops.OrganizationVersion `json:"organization"`
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TotalIssues int `json:"total_issues"`
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NewThisWeek int `json:"new_this_week"`
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WeekStart time.Time `json:"week_start"`
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MonthStart time.Time `json:"month_start"`
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Quality qaopsquality.Summary `json:"quality"`
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IssueTypes []DashboardCount `json:"issue_types"`
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Products []DashboardCount `json:"products"`
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Daily []DashboardDaily `json:"daily"`
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Regions []DashboardRegion `json:"regions"`
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FrozenWeeks []DashboardFrozen `json:"frozen_weeks"`
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ReportedWeeks []DashboardReported `json:"reported_weeks"`
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CumulativeWeeks []DashboardCumulative `json:"cumulative_weeks"`
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QualityPeriod *DashboardQualityPeriod `json:"quality_period,omitempty"`
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MonthlyQuality *DashboardStrictQuality `json:"monthly_quality,omitempty"`
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CalendarMonths []DashboardMonth `json:"calendar_months"`
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}
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var dashboardLocation = time.FixedZone("Asia/Shanghai", 8*60*60)
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func dashboardDay(at time.Time) time.Time {
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t := at.In(dashboardLocation)
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return time.Date(t.Year(), t.Month(), t.Day(), 0, 0, 0, 0, dashboardLocation)
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}
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func dashboardWeek(at time.Time) time.Time {
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d := dashboardDay(at)
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return d.AddDate(0, 0, -((int(d.Weekday()) + 6) % 7))
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}
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func dashboardPeriods(end time.Time) (time.Time, time.Time) {
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cutoff := end.Add(-time.Nanosecond).In(dashboardLocation)
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return time.Date(cutoff.Year(), cutoff.Month(), 1, 0, 0, 0, 0, dashboardLocation), dashboardWeek(cutoff)
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}
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func dashboardFrozenSeries(first, end time.Time, snapshots map[string]DashboardFrozen) []DashboardFrozen {
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out := []DashboardFrozen{}
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if first.IsZero() || !first.Before(end) {
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return out
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}
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for at := dashboardWeek(first); at.Before(end) && len(out) < 5200; at = at.AddDate(0, 0, 7) {
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key := at.Format("2006-01-02")
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point, ok := snapshots[key]
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if !ok {
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point = DashboardFrozen{WeekStart: at, WeekEnd: at.AddDate(0, 0, 7)}
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}
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out = append(out, point)
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}
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return out
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}
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