{ "$schema": "https://uipkge.dev/schema/registry-item.json", "name": "data-quality-metrics", "title": "Data Quality Metrics", "type": "registry:block", "files": [ { "path": "packages/registry-angular/blocks/data-quality-metrics/data-quality-metrics.component.ts", "content": "import { ChangeDetectionStrategy, Component, Input, OnChanges, SimpleChanges, computed, signal } from '@angular/core'\nimport {\n Activity,\n AlertCircle,\n AlertTriangle,\n Check,\n CheckCircle2,\n Clock,\n Copy,\n Database,\n Download,\n FileCode2,\n Filter,\n GitBranch,\n Layers,\n LucideAngularModule,\n RefreshCw,\n Search,\n ShieldCheck,\n} from 'lucide-angular'\nimport { cn } from '@/lib/utils'\nimport { UiBadgeComponent } from '@/ui/badge/badge.component'\nimport { UiButtonComponent } from '@/ui/button/button.component'\nimport {\n UiCardComponent,\n UiCardContentComponent,\n UiCardDescriptionComponent,\n UiCardHeaderComponent,\n UiCardTitleComponent,\n} from '@/ui/card/card.component'\nimport { UiProgressComponent } from '@/ui/progress/progress.component'\nimport { UiSeparatorComponent } from '@/ui/separator/separator.component'\nimport {\n UiSheetCloseComponent,\n UiSheetComponent,\n UiSheetContentComponent,\n UiSheetDescriptionComponent,\n UiSheetFooterComponent,\n UiSheetHeaderComponent,\n UiSheetTitleComponent,\n} from '@/ui/sheet/sheet.component'\nimport {\n UiTableBodyComponent,\n UiTableCellComponent,\n UiTableComponent,\n UiTableHeadComponent,\n UiTableHeaderComponent,\n UiTableRowComponent,\n} from '@/ui/table/table.component'\n\nexport type AssertionStatus = 'Passing' | 'Warning' | 'Failed'\nexport type AssertionCategory = 'Completeness' | 'Uniqueness' | 'Validity' | 'Volume' | 'Schema'\n\nexport interface AnomalyRecord {\n recordId: string\n column: string\n value: string\n reason: string\n}\n\nexport interface AssertionItem {\n id: string\n assertionType: string\n columnName: string\n category: AssertionCategory\n ruleDefinition: string\n targetThreshold: string\n observedValue: string\n observedPercent: number\n failedCount: number\n totalEvaluated: number\n status: AssertionStatus\n statusVariant: 'success' | 'warning' | 'destructive'\n executionTime: string\n expectationConfig: Record\n remediationQuery: string\n anomalies: AnomalyRecord[]\n}\n\nexport const defaultAssertions: AssertionItem[] = [\n {\n id: 'dq-assert-1',\n assertionType: 'expect_column_values_to_not_be_null',\n columnName: 'user_id',\n category: 'Completeness',\n ruleDefinition: 'Primary key non-null identity constraint verification across all partition shards.',\n targetThreshold: '100.0%',\n observedValue: '100.0%',\n observedPercent: 100.0,\n failedCount: 0,\n totalEvaluated: 1480000,\n status: 'Passing',\n statusVariant: 'success',\n executionTime: '142ms',\n expectationConfig: {\n expectation_type: 'expect_column_values_to_not_be_null',\n kwargs: {\n column: 'user_id',\n mostly: 1.0,\n },\n },\n remediationQuery: `-- Primary key check passed cleanly. No quarantine needed.\\nSELECT COUNT(*) FROM production_analytics.dim_users WHERE user_id IS NULL;`,\n anomalies: [],\n },\n {\n id: 'dq-assert-2',\n assertionType: 'expect_column_values_to_be_unique',\n columnName: 'email',\n category: 'Uniqueness',\n ruleDefinition: 'Global case-insensitive deduplication check across customer directory.',\n targetThreshold: '100.0%',\n observedValue: '100.0%',\n observedPercent: 100.0,\n failedCount: 0,\n totalEvaluated: 1480000,\n status: 'Passing',\n statusVariant: 'success',\n executionTime: '380ms',\n expectationConfig: {\n expectation_type: 'expect_column_values_to_be_unique',\n kwargs: {\n column: 'email',\n mostly: 1.0,\n },\n },\n remediationQuery: `-- Zero duplicate emails detected in active partition.\\nSELECT LOWER(email), COUNT(*) FROM production_analytics.dim_users GROUP BY 1 HAVING COUNT(*) > 1;`,\n anomalies: [],\n },\n {\n id: 'dq-assert-3',\n assertionType: 'expect_column_values_to_match_regex',\n columnName: 'phone_e164',\n category: 'Validity',\n ruleDefinition: 'International telecommunications ITU-T E.164 format pattern matching (^\\\\+[1-9]\\\\d{1,14}$).',\n targetThreshold: '≥ 98.0%',\n observedValue: '98.8%',\n observedPercent: 98.8,\n failedCount: 17760,\n totalEvaluated: 1480000,\n status: 'Warning',\n statusVariant: 'warning',\n executionTime: '890ms',\n expectationConfig: {\n expectation_type: 'expect_column_values_to_match_regex',\n kwargs: {\n column: 'phone_e164',\n regex: '^\\\\+[1-9]\\\\d{1,14}$',\n mostly: 0.98,\n },\n },\n remediationQuery: `-- Quarantine 17,760 legacy unformatted phone numbers for libphonenumber normalization:\\nCREATE OR REPLACE TABLE staging.unformatted_phones AS\\nSELECT user_id, email, phone_e164, 'MALFORMED_E164' AS failure_reason\\nFROM production_analytics.dim_users\\nWHERE phone_e164 NOT RLIKE '^\\\\+[1-9]\\\\d{1,14}$';`,\n anomalies: [\n {\n recordId: 'usr_9941a8',\n column: 'phone_e164',\n value: '+1-555-019',\n reason: 'Invalid E.164 length (incomplete national number)',\n },\n {\n recordId: 'usr_1082fc',\n column: 'phone_e164',\n value: '0784910293',\n reason: 'Missing international country dial prefix (+)',\n },\n {\n recordId: 'usr_7729de',\n column: 'phone_e164',\n value: '+44 (0)20 7946',\n reason: 'Unstripped parentheses and whitespace delimiter',\n },\n {\n recordId: 'usr_4019ab',\n column: 'phone_e164',\n value: 'NULL',\n reason: 'Unexpected empty field on SMS-enrolled user',\n },\n ],\n },\n {\n id: 'dq-assert-4',\n assertionType: 'expect_table_row_count_to_be_between',\n columnName: 'table: dim_users',\n category: 'Volume',\n ruleDefinition: 'Daily snapshot table row count volumetric boundary expectation between 1.0M and 2.0M rows.',\n targetThreshold: '1.0M .. 2.0M',\n observedValue: '1,480,000',\n observedPercent: 100.0,\n failedCount: 0,\n totalEvaluated: 1480000,\n status: 'Passing',\n statusVariant: 'success',\n executionTime: '95ms',\n expectationConfig: {\n expectation_type: 'expect_table_row_count_to_be_between',\n kwargs: {\n min_value: 1000000,\n max_value: 2000000,\n },\n },\n remediationQuery: `-- Row count volumetric validation passed within safety boundaries (1.48M in [1.0M, 2.0M]).\\nSELECT COUNT(*) AS total_rows FROM production_analytics.dim_users;`,\n anomalies: [],\n },\n {\n id: 'dq-assert-5',\n assertionType: 'expect_column_values_to_be_between',\n columnName: 'age',\n category: 'Validity',\n ruleDefinition: 'Demographic account age boundary distribution constraint between 18 and 120 years.',\n targetThreshold: '100.0%',\n observedValue: '100.0%',\n observedPercent: 100.0,\n failedCount: 0,\n totalEvaluated: 1480000,\n status: 'Passing',\n statusVariant: 'success',\n executionTime: '210ms',\n expectationConfig: {\n expectation_type: 'expect_column_values_to_be_between',\n kwargs: {\n column: 'age',\n min_value: 18,\n max_value: 120,\n mostly: 1.0,\n },\n },\n remediationQuery: `-- All verified user ages lie cleanly between min 18 and max 94 (100.0% compliant).\\nSELECT MIN(age), MAX(age), AVG(age) FROM production_analytics.dim_users;`,\n anomalies: [],\n },\n]\n\nconst PILL_BASE =\n 'focus-visible:ring-ring inline-flex items-center rounded-full border px-2.5 py-1 text-xs font-medium transition-colors focus-visible:ring-2 focus-visible:outline-none'\nconst PILL_IDLE = 'border-border bg-card text-muted-foreground hover:bg-accent hover:text-foreground'\nconst CAT_BASE =\n 'focus-visible:ring-ring inline-flex items-center rounded-md border px-2 py-1 font-mono text-xs font-medium transition-colors focus-visible:ring-2 focus-visible:outline-none'\n\n/**\n * Angular port of the React DataQualityMetrics block: dataset header with quality score and\n * run / export actions, four assertion metric cards, a filterable assertions table and an\n * anomaly inspector sheet with the expectation config and remediation SQL.\n */\n@Component({\n changeDetection: ChangeDetectionStrategy.Eager,\n selector: 'ui-data-quality-metrics, [ui-data-quality-metrics]',\n standalone: true,\n host: { class: 'contents' },\n imports: [\n LucideAngularModule,\n UiBadgeComponent,\n UiButtonComponent,\n UiCardComponent,\n UiCardContentComponent,\n UiCardDescriptionComponent,\n UiCardHeaderComponent,\n UiCardTitleComponent,\n UiProgressComponent,\n UiSeparatorComponent,\n UiSheetComponent,\n UiSheetCloseComponent,\n UiSheetContentComponent,\n UiSheetDescriptionComponent,\n UiSheetFooterComponent,\n UiSheetHeaderComponent,\n UiSheetTitleComponent,\n UiTableComponent,\n UiTableBodyComponent,\n UiTableCellComponent,\n UiTableHeadComponent,\n UiTableHeaderComponent,\n UiTableRowComponent,\n ],\n template: `\n
\n \n
\n
\n
\n \n
\n
\n \n \n
\n
\n
\n

\n {{ datasetTitle }}\n

\n {{ suiteName }}\n
\n
\n \n \n {{ currentLastRun() }}\n \n ·\n Snowflake DW\n ·\n dbt Core v1.8\n
\n
\n
\n
\n\n \n
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\n {{ qualityScore }}%\n \n \n Quality Score\n \n
\n

Automated Sodacl / GX Engine

\n
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\n\n
\n \n \n {{ isRunningSuite() ? 'Evaluating Suite...' : 'Run Assertions Suite' }}\n \n\n \n
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\n\n \n \n
\n \n Schema Contract: Locked v3.2 · Zero Breaking Schema Drift\n
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\n Engine SLA: Strict Production\n \n 48 assertions evaluated\n
\n \n \n\n \n
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\n

Passed Assertions

\n \n \n
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\n 47 / 48\n 98% Passing\n
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{{ passedAssertions }}

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Failed / Warnings

\n \n \n
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\n 1 Warning\n 1.2% Non-conformant\n
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{{ failedWarnings }}

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Schema Drift Status

\n \n \n
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\n 0 Breaking\n No Drift\n
\n
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\n Columns Synced\n 14 / 14 matched\n
\n

{{ schemaDriftStatus }}

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Total Rows Audited

\n \n \n
\n
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\n 1,480,000\n 1.48M Rows\n
\n
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\n Partition Range\n 1.0M .. 2.0M\n
\n

{{ totalRowsAudited }}

\n
\n \n \n\n \n
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\n
Data Quality Test Assertions
\n {{ filteredAssertions().length }} of {{ assertionList().length }} Assertions\n
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\n Automated expectations, boundary validations, regex format rules, and volume anomaly checks.\n
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\n\n
\n \n \n Category:\n \n @for (cat of availableCategories(); track cat) {\n \n }\n
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\n
\n \n \n Assertion & Target Column\n Category\n Target Threshold\n Observed Value\n Status\n Actions\n \n \n \n @for (assertion of filteredAssertions(); track assertion.id) {\n \n \n
\n
\n {{\n assertion.columnName\n }}\n {{\n assertion.assertionType\n }}\n
\n

\n {{ assertion.ruleDefinition }}\n

\n
\n \n\n \n {{ assertion.category }}\n \n\n \n {{\n assertion.targetThreshold\n }}\n \n\n \n
\n {{\n assertion.observedValue\n }}\n {{ assertion.executionTime }} eval\n
\n \n\n \n \n @if (assertion.status === 'Passing') {\n \n } @else if (assertion.status === 'Warning') {\n \n } @else {\n \n }\n {{ assertion.status }}\n \n \n\n \n \n \n Inspect Anomalies\n \n \n \n }\n\n @if (filteredAssertions().length === 0) {\n \n \n
\n \n

No assertions match your filter query

\n

All assertions meet standard quality constraints.

\n
\n \n \n }\n \n
\n
\n\n \n \n
\n \n Great Expectations Assertions Runner: 100% evaluated\n
\n Dataset: {{ datasetTitle }} · Last Batch: 1,480,000 rows\n
\n
\n \n\n \n
\n
\n @if (selectedAssertion(); as sel) {\n
\n
\n
\n \n @if (sel.status === 'Passing') {\n \n } @else {\n \n }\n {{ sel.status.toUpperCase() }}\n \n {{\n sel.category\n }}\n
\n\n Latency: {{ sel.executionTime }}\n
\n\n

{{ sel.assertionType }}

\n

\n Target Column: {{ sel.columnName }}\n

\n
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\n \n
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\n Target Threshold\n

{{ sel.targetThreshold }}

\n
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\n Observed Pass Rate\n

\n {{ sel.observedValue }}\n

\n
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\n Audited Records\n

\n {{ formatNumber(sel.totalEvaluated) }}\n

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\n Failed Anomalies\n

{{ formatNumber(sel.failedCount) }}

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\n\n \n
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\n

\n Great Expectations Specification\n

\n \n @if (copiedSnippetKey() === 'dsl') {\n \n } @else {\n \n }\n {{ copiedSnippetKey() === 'dsl' ? 'Copied' : 'Copy Config' }}\n \n
\n
\n \n \n expectation_suite.json\n
\n 
{{\n                    configJson(sel)\n                  }}
\n
\n
\n\n \n
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\n

\n Anomalous Sample Records\n

\n @if (sel.anomalies.length > 0) {\n Showing {{ sel.anomalies.length }} failure samples\n }\n
\n\n @if (sel.anomalies.length > 0) {\n
\n
\n \n \n Record ID\n Column\n Observed Value\n Diagnostic Reason\n \n \n \n @for (anomaly of sel.anomalies; track anomaly.recordId) {\n \n {{ anomaly.recordId }}\n {{ anomaly.column }}\n \n {{ anomaly.value }}\n \n {{ anomaly.reason }}\n \n }\n \n
\n
\n } @else {\n \n \n

Zero Anomalies Detected

\n

\n All {{ formatNumber(sel.totalEvaluated) }} audited records strictly satisfied the expectation\n rule.\n

\n
\n }\n
\n\n \n
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\n

\n Quarantine & Remediation SQL\n

\n \n @if (copiedSnippetKey() === 'sql') {\n \n } @else {\n \n }\n {{ copiedSnippetKey() === 'sql' ? 'Copied' : 'Copy SQL' }}\n \n
\n \n 
{{ sel.remediationQuery }}
\n
\n
\n \n\n
\n \n\n @if (sel.anomalies.length > 0) {\n \n @if (anomalyExportSuccess()) {\n \n } @else {\n \n }\n {{ anomalyExportSuccess() ? 'Anomalies Exported!' : 'Export Anomaly CSV' }}\n \n }\n
\n }\n \n \n \n `,\n})\nexport class UiDataQualityMetricsComponent implements OnChanges {\n @Input() datasetTitle = 'production_analytics.dim_users'\n @Input() suiteName = 'user_profile_integrity_v3'\n @Input() qualityScore = 98.4\n @Input() lastRun = 'Ran 14m ago · 48 assertions evaluated'\n @Input() passedAssertions = '47 / 48 Passing · 98%'\n @Input() failedWarnings = '1 Warning · Null phone numbers 1.2%'\n @Input() schemaDriftStatus = '0 breaking schema changes'\n @Input() totalRowsAudited = '1,480,000 rows'\n @Input() set assertions(value: AssertionItem[] | null | undefined) {\n this.assertionList.set(value ?? defaultAssertions)\n }\n @Input('class') className?: string\n\n protected readonly Activity = Activity\n protected readonly AlertCircle = AlertCircle\n protected readonly AlertTriangle = AlertTriangle\n protected readonly Check = Check\n protected readonly CheckCircle2 = CheckCircle2\n protected readonly Clock = Clock\n protected readonly Copy = Copy\n protected readonly Database = Database\n protected readonly Download = Download\n protected readonly FileCode2 = FileCode2\n protected readonly Filter = Filter\n protected readonly GitBranch = GitBranch\n protected readonly Layers = Layers\n protected readonly RefreshCw = RefreshCw\n protected readonly Search = Search\n protected readonly ShieldCheck = ShieldCheck\n\n readonly assertionList = signal(defaultAssertions)\n readonly searchQuery = signal('')\n readonly selectedStatus = signal('all')\n readonly selectedCategory = signal('all')\n readonly isRunningSuite = signal(false)\n readonly currentLastRun = signal(this.lastRun)\n readonly selectedAssertion = signal(null)\n readonly isDrawerOpen = signal(false)\n readonly copiedSnippetKey = signal(null)\n readonly exportSuccess = signal(false)\n readonly anomalyExportSuccess = signal(false)\n\n readonly availableCategories = computed(() => {\n const categories = new Set()\n this.assertionList().forEach((item) => categories.add(item.category))\n return ['all', ...Array.from(categories)]\n })\n\n readonly filteredAssertions = computed(() => {\n const query = this.searchQuery().trim().toLowerCase()\n const statusFilter = this.selectedStatus()\n const categoryFilter = this.selectedCategory()\n\n return this.assertionList().filter((item) => {\n const matchesStatus = statusFilter === 'all' || item.status.toLowerCase() === statusFilter.toLowerCase()\n const matchesCategory = categoryFilter === 'all' || item.category.toLowerCase() === categoryFilter.toLowerCase()\n const matchesQuery =\n !query ||\n item.assertionType.toLowerCase().includes(query) ||\n item.columnName.toLowerCase().includes(query) ||\n item.ruleDefinition.toLowerCase().includes(query) ||\n item.category.toLowerCase().includes(query)\n\n return matchesStatus && matchesCategory && matchesQuery\n })\n })\n\n // React seeds currentLastRun from the lastRun prop once (useState initial value).\n private lastRunSeeded = false\n ngOnChanges(changes: SimpleChanges): void {\n if (changes['lastRun'] && !this.lastRunSeeded) {\n this.currentLastRun.set(this.lastRun)\n }\n this.lastRunSeeded = true\n }\n\n get rootClass(): string {\n return cn('w-full space-y-6', this.className)\n }\n\n refreshIconClass(): string {\n return cn('size-4', this.isRunningSuite() && 'animate-spin')\n }\n\n statusPillClass(status: 'all' | 'passing' | 'warning'): string {\n const active = {\n all: 'border-primary bg-primary text-primary-foreground shadow-xs',\n passing: 'border-success bg-success bg-success text-white shadow-xs',\n warning: 'border-warning bg-warning bg-warning text-white shadow-xs',\n }[status]\n return cn(PILL_BASE, this.selectedStatus() === status ? active : PILL_IDLE)\n }\n\n categoryClass(cat: string): string {\n return cn(\n CAT_BASE,\n this.selectedCategory() === cat ? 'border-foreground bg-foreground text-background shadow-xs' : PILL_IDLE,\n )\n }\n\n observedClass(assertion: AssertionItem, base: string): string {\n return cn(base, assertion.status === 'Passing' ? 'text-success' : 'text-warning')\n }\n\n failedClass(assertion: AssertionItem): string {\n return cn(\n 'mt-1 font-mono text-sm font-bold tabular-nums',\n assertion.failedCount > 0 ? 'text-warning' : 'text-success',\n )\n }\n\n formatNumber(value: number): string {\n return value.toLocaleString()\n }\n\n configJson(assertion: AssertionItem): string {\n return JSON.stringify(assertion.expectationConfig, null, 2)\n }\n\n onSearch(event: Event): void {\n this.searchQuery.set((event.target as HTMLInputElement).value)\n }\n\n handleRunSuite(): void {\n if (this.isRunningSuite()) return\n this.isRunningSuite.set(true)\n\n setTimeout(() => {\n this.isRunningSuite.set(false)\n this.currentLastRun.set('Ran just now · 48 assertions evaluated')\n }, 750)\n }\n\n handleInspectAnomalies(assertion: AssertionItem): void {\n this.selectedAssertion.set(assertion)\n this.isDrawerOpen.set(true)\n }\n\n copyCodeSnippet(key: string, content: string): void {\n if (typeof navigator !== 'undefined' && navigator.clipboard) {\n void navigator.clipboard.writeText(content)\n this.copiedSnippetKey.set(key)\n setTimeout(() => {\n if (this.copiedSnippetKey() === key) this.copiedSnippetKey.set(null)\n }, 2000)\n }\n }\n\n exportQualityReport(): void {\n const report = {\n dataset: this.datasetTitle,\n suite: this.suiteName,\n overallQualityScore: this.qualityScore,\n evaluatedAt: new Date().toISOString(),\n engine: 'Great Expectations v0.18 / SodaCL',\n summary: {\n passed: this.passedAssertions,\n warnings: this.failedWarnings,\n schemaDrift: this.schemaDriftStatus,\n totalRows: this.totalRowsAudited,\n },\n assertions: this.assertionList(),\n }\n\n const jsonStr = 'data:text/json;charset=utf-8,' + encodeURIComponent(JSON.stringify(report, null, 2))\n if (typeof document !== 'undefined') {\n const link = document.createElement('a')\n link.setAttribute('href', jsonStr)\n link.setAttribute('download', `dq-report-${this.suiteName}-${new Date().toISOString().slice(0, 10)}.json`)\n document.body.appendChild(link)\n link.click()\n link.remove()\n\n this.exportSuccess.set(true)\n setTimeout(() => {\n this.exportSuccess.set(false)\n }, 2000)\n }\n }\n\n exportAnomalyCsv(): void {\n const selected = this.selectedAssertion()\n if (!selected || selected.anomalies.length === 0) return\n\n const headers = ['Record ID', 'Column', 'Observed Value', 'Failure Reason']\n const rows = selected.anomalies.map((a) => [a.recordId, a.column, `\"${a.value}\"`, `\"${a.reason}\"`])\n const csvContent = [headers.join(','), ...rows.map((r) => r.join(','))].join('\\n')\n\n const blob = new Blob([csvContent], { type: 'text/csv;charset=utf-8;' })\n const url = URL.createObjectURL(blob)\n const link = document.createElement('a')\n link.setAttribute('href', url)\n link.setAttribute('download', `anomalies-${selected.columnName}.csv`)\n document.body.appendChild(link)\n link.click()\n link.remove()\n\n this.anomalyExportSuccess.set(true)\n setTimeout(() => {\n this.anomalyExportSuccess.set(false)\n }, 2000)\n }\n}\n", "type": "registry:block", "target": "~/src/app/components/blocks/data-quality-metrics/data-quality-metrics.component.ts" }, { "path": "packages/registry-angular/blocks/data-quality-metrics/index.ts", "content": "export {\n UiDataQualityMetricsComponent,\n defaultAssertions,\n type AnomalyRecord,\n type AssertionCategory,\n type AssertionItem,\n type AssertionStatus,\n} from './data-quality-metrics.component'\n", "type": "registry:block", "target": "~/src/app/components/blocks/data-quality-metrics/index.ts" } ], "dependencies": [ "lucide-angular" ], "devDependencies": [], "registryDependencies": [ "https://uipkge.dev/r/angular/badge.json", "https://uipkge.dev/r/angular/button.json", "https://uipkge.dev/r/angular/card.json", "https://uipkge.dev/r/angular/progress.json", "https://uipkge.dev/r/angular/separator.json", "https://uipkge.dev/r/angular/sheet.json", "https://uipkge.dev/r/angular/table.json" ], "description": "Great Expectations and Soda style automated data quality assertions, schema validation, and drift detector dashboard: top header with overall quality score and run triggers, 4 assertion metric cards, data quality assertions table with category filters, and an interactive anomaly inspector drawer with SQL quarantine remediation.", "categories": [ "devops", "dashboard", "app", "data" ] }