Etl Pipeline Dag

Installation

Variants

Props

Schema

Type aliases exported from this item's source. Use these to shape the data you pass in.

interface QualityCheck {
  id: string
  assertion: string
  column: string
  status: 'passed' | 'warning' | 'failed'
  observed: string
  threshold: string
}

interface SchemaColumn {
  name: string
  type: string
  nullable: boolean
  description: string
}

interface LogLine {
  timestamp: string
  level: 'INFO' | 'WARN' | 'SQL' | 'SUCCESS' | 'ERROR'
  source: string
  message: string
}

interface DagNode {
  id: string
  name: string
  category: NodeCategory
  categoryLabel: string
  stageNumber: number
  stageTitle: string
  operator: string
  status: NodeStatus
  duration: string
  durationSec: number
  records: string
  bytes: string
  startedAt: string
  finishedAt: string
  target: string
  engine: string
  upstream: string[]
  downstream: string[]
  retries: string
  memoryPeak: string
  cpuPeak: string
  configParams: Record<string, string>
  qualityChecks: QualityCheck[]
  schemaColumns: SchemaColumn[]
  logs: LogLine[]
}

Files installed (2)

• app/components/blocks/EtlPipelineDag.vue58 kB

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  <script setup lang="ts">
  import { computed, ref } from 'vue'
  import type { HTMLAttributes } from 'vue'
  import {
    ArrowRight,
    Check,
    CheckCircle2,
    Clock,
    Cpu,
    CreditCard,
    Database,
    FileDown,
    GitBranch,
    Globe,
    Layers,
    Loader2,
    Play,
    ShieldCheck,
    Workflow,
    Zap,
  } from 'lucide-vue-next'
  import { cn } from '@/lib/utils'
  import { Badge } from '@/components/ui/badge'
  import { Button } from '@/components/ui/button'
  import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'
  import { Progress } from '@/components/ui/progress'
  import EtlNodeDetail from './EtlNodeDetail.vue'
  
  export type NodeStatus = 'success' | 'running' | 'failed' | 'queued'
  export type NodeCategory = 'ingest' | 'transform' | 'validate' | 'load' | 'model'
  
  export interface QualityCheck {
    id: string
    assertion: string
    column: string
    status: 'passed' | 'warning' | 'failed'
    observed: string
    threshold: string
  }
  
  export interface SchemaColumn {
    name: string
    type: string
    nullable: boolean
    description: string
  }
  
  export interface LogLine {
    timestamp: string
    level: 'INFO' | 'WARN' | 'SQL' | 'SUCCESS' | 'ERROR'
    source: string
    message: string
  }
  
  export interface DagNode {
    id: string
    name: string
    category: NodeCategory
    categoryLabel: string
    stageNumber: number
    stageTitle: string
    operator: string
    status: NodeStatus
    duration: string
    durationSec: number
    records: string
    bytes: string
    startedAt: string
    finishedAt: string
    target: string
    engine: string
    upstream: string[]
    downstream: string[]
    retries: string
    memoryPeak: string
    cpuPeak: string
    configParams: Record<string, string>
    qualityChecks: QualityCheck[]
    schemaColumns: SchemaColumn[]
    logs: LogLine[]
  }
  
  interface Props {
    initialNodeId?: string
    class?: HTMLAttributes['class']
  }
  
  const props = withDefaults(defineProps<Props>(), {
    initialNodeId: 'extract_stripe_charges',
  })
  
  const selectedNodeId = ref<string>(props.initialNodeId)
  const copiedAllLogs = ref<boolean>(false)
  const isTriggering = ref<boolean>(false)
  const triggerSuccessToast = ref<boolean>(false)
  
  const pipelineNodes: DagNode[] = [
    {
      id: 'extract_stripe_charges',
      name: 'extract_stripe_charges',
      category: 'ingest',
      categoryLabel: 'INGEST',
      stageNumber: 1,
      stageTitle: 'Extract & Ingest',
      operator: 'StripeApiConnector',
      status: 'success',
      duration: '18s',
      durationSec: 18.2,
      records: '148,290 records',
      bytes: '42.6 MB',
      startedAt: '02:00:02 UTC',
      finishedAt: '02:00:20 UTC',
      target: 'raw_stripe.charges',
      engine: 'Airbyte / Stripe REST API v2024-06',
      upstream: [],
      downstream: ['transform_normalize_fx'],
      retries: '0 / 3',
      memoryPeak: '342 MB',
      cpuPeak: '18%',
      configParams: {
        endpoint: 'https://api.stripe.com/v1/charges',
        batch_size: '10,000',
        pagination_mode: 'starting_after cursor',
        target_s3_bucket: 's3://lakehouse-raw/stripe/charges/dt=2026-02-21/',
        compression_codec: 'snappy (parquet)',
        iam_role_arn: 'arn:aws:iam::12498214:role/etl-stripe-ingestion',
        secret_vault_ref: 'vault://production/credentials/stripe_api_key',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'HTTP 200 Response Ratio',
          column: 'api_response',
          status: 'passed',
          observed: '100% (15/15 chunks)',
          threshold: '100%',
        },
        {
          id: 'q2',
          assertion: 'Payload Schema Checksum',
          column: 'raw_payload',
          status: 'passed',
          observed: 'sha256:8f4c91...',
          threshold: 'Valid JSON',
        },
        {
          id: 'q3',
          assertion: 'Record Count Lower Bound',
          column: 'id',
          status: 'passed',
          observed: '148,290 records',
          threshold: '> 50,000',
        },
      ],
      schemaColumns: [
        {
          name: 'id',
          type: 'VARCHAR(64)',
          nullable: false,
          description: 'Stripe unique charge identifier (ch_xxx)',
        },
        {
          name: 'amount',
          type: 'BIGINT',
          nullable: false,
          description: 'Charge amount in smallest currency unit (cents)',
        },
        {
          name: 'currency',
          type: 'VARCHAR(3)',
          nullable: false,
          description: 'Three-letter ISO currency code (USD, EUR, GBP)',
        },
        {
          name: 'customer_id',
          type: 'VARCHAR(64)',
          nullable: true,
          description: 'Associated customer reference (cus_xxx)',
        },
        {
          name: 'status',
          type: 'VARCHAR(32)',
          nullable: false,
          description: 'Charge status (succeeded, pending, failed)',
        },
        {
          name: 'created_at',
          type: 'TIMESTAMP_TZ',
          nullable: false,
          description: 'Stripe transaction creation epoch timestamp',
        },
      ],
      logs: [
        {
          timestamp: '02:00:02.104',
          level: 'INFO',
          source: 'worker_4',
          message: 'Initializing Stripe extraction worker on task runner runner-us-east-1a',
        },
        {
          timestamp: '02:00:02.482',
          level: 'INFO',
          source: 'auth',
          message: 'Authenticated with KMS secret token: sec_live_stripe_vault_****',
        },
        {
          timestamp: '02:00:03.119',
          level: 'INFO',
          source: 'query',
          message: 'Requesting charges filter: created >= 1708473600 (2026-02-21 00:00:00 UTC)',
        },
        {
          timestamp: '02:00:05.892',
          level: 'INFO',
          source: 'stream',
          message: 'Chunk 1/15 fetched: 10,000 records (HTTP 200 OK - 2.4s latency)',
        },
        {
          timestamp: '02:00:09.140',
          level: 'INFO',
          source: 'stream',
          message: 'Chunk 5/15 fetched: 50,000 records (HTTP 200 OK - 1.8s latency)',
        },
        {
          timestamp: '02:00:14.730',
          level: 'INFO',
          source: 'stream',
          message: 'Chunk 11/15 fetched: 110,000 records (HTTP 200 OK - 1.9s latency)',
        },
        {
          timestamp: '02:00:18.915',
          level: 'INFO',
          source: 'stream',
          message: 'Chunk 15/15 fetched: 148,290 records (HTTP 200 OK - 1.1s latency)',
        },
        {
          timestamp: '02:00:19.420',
          level: 'INFO',
          source: 'parquet',
          message: 'Staged parquet buffer to s3://lakehouse-raw/stripe/charges/dt=2026-02-21/part-001.parquet',
        },
        {
          timestamp: '02:00:20.312',
          level: 'SUCCESS',
          source: 'task',
          message: 'Task extract_stripe_charges completed successfully in 18.208s. Checksum verified: sha256:8f4c91',
        },
      ],
    },
    {
      id: 'extract_currency_rates',
      name: 'extract_currency_rates',
      category: 'ingest',
      categoryLabel: 'INGEST',
      stageNumber: 1,
      stageTitle: 'Extract & Ingest',
      operator: 'EcbRatesConnector',
      status: 'success',
      duration: '4s',
      durationSec: 4.1,
      records: '34 FX pairs',
      bytes: '128 KB',
      startedAt: '02:00:02 UTC',
      finishedAt: '02:00:06 UTC',
      target: 'raw_currency.rates',
      engine: 'ECB SDMX API / FastHTTP',
      upstream: [],
      downstream: ['transform_normalize_fx'],
      retries: '0 / 3',
      memoryPeak: '84 MB',
      cpuPeak: '6%',
      configParams: {
        endpoint: 'https://data-api.ecb.europa.eu/service/data/EXR/D..EUR.SP00.A',
        benchmark_currency: 'USD',
        feed_type: 'Daily Official Reference Spot',
        output_format: 'JSON / Arrow Table',
        target_s3_bucket: 's3://lakehouse-raw/rates/dt=2026-02-21/',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'Base Currency Coverage',
          column: 'currency_code',
          status: 'passed',
          observed: '34/34 major currencies',
          threshold: '>= 30',
        },
        {
          id: 'q2',
          assertion: 'EUR/USD Rate Sanity Check',
          column: 'spot_rate',
          status: 'passed',
          observed: '1.0842 USD',
          threshold: '0.80 - 1.40',
        },
        {
          id: 'q3',
          assertion: 'Zero Value Absence',
          column: 'rate_multiplier',
          status: 'passed',
          observed: '0 non-zero values',
          threshold: '0 zeros',
        },
      ],
      schemaColumns: [
        {
          name: 'currency_code',
          type: 'VARCHAR(3)',
          nullable: false,
          description: 'Three letter ISO code (EUR, GBP, JPY, CAD)',
        },
        {
          name: 'rate_to_usd',
          type: 'DECIMAL(12, 6)',
          nullable: false,
          description: 'Standardized multiplier to convert 1 unit to USD',
        },
        {
          name: 'published_date',
          type: 'DATE',
          nullable: false,
          description: 'Official publication date by Central Bank',
        },
        {
          name: 'ingested_at',
          type: 'TIMESTAMP_TZ',
          nullable: false,
          description: 'Ingestion pipeline timestamp',
        },
      ],
      logs: [
        {
          timestamp: '02:00:02.108',
          level: 'INFO',
          source: 'worker_1',
          message: 'Starting currency spot exchange rate ingestion from European Central Bank API',
        },
        {
          timestamp: '02:00:02.740',
          level: 'INFO',
          source: 'http',
          message: 'GET https://data-api.ecb.europa.eu/service/data/EXR/D..EUR.SP00.A?startPeriod=2026-02-20',
        },
        {
          timestamp: '02:00:03.921',
          level: 'INFO',
          source: 'parser',
          message: 'SDMX-ML XML payload decoded (34 reference base currencies parsed)',
        },
        {
          timestamp: '02:00:04.450',
          level: 'INFO',
          source: 'transform',
          message:
            'Inverted base currency rates against USD benchmark (EUR/USD: 1.0842, GBP/USD: 1.2610, JPY/USD: 154.20)',
        },
        {
          timestamp: '02:00:05.620',
          level: 'INFO',
          source: 's3',
          message: 'Writing FX snapshots to s3://lakehouse-raw/rates/fx_daily_20260221.json',
        },
        {
          timestamp: '02:00:06.210',
          level: 'SUCCESS',
          source: 'task',
          message: 'Task extract_currency_rates completed in 4.102s. 34/34 currency pairs ingested.',
        },
      ],
    },
    {
      id: 'transform_normalize_fx',
      name: 'transform_normalize_fx',
      category: 'transform',
      categoryLabel: 'TRANSFORM',
      stageNumber: 2,
      stageTitle: 'Transform & Normalize',
      operator: 'PySparkBatchOperator',
      status: 'success',
      duration: '42s',
      durationSec: 42.6,
      records: '148,290 rows',
      bytes: '58.2 MB',
      startedAt: '02:00:21 UTC',
      finishedAt: '02:01:03 UTC',
      target: 'stg_payments_fx',
      engine: 'PySpark 3.5.1 / Apache Arrow 15.0',
      upstream: ['extract_stripe_charges', 'extract_currency_rates'],
      downstream: ['validate_schema_anomalies'],
      retries: '0 / 3',
      memoryPeak: '1,280 MB',
      cpuPeak: '74%',
      configParams: {
        spark_driver_memory: '4g',
        spark_executor_memory: '8g',
        executor_instances: '4',
        join_strategy: 'BroadcastHashJoin(stripe.currency = fx.currency_code)',
        precision_mode: 'DECIMAL(18, 4)',
        output_staging_path: 's3://lakehouse-stage/payments_fx/dt=2026-02-21/',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'FX Broadcast Join Match Rate',
          column: 'currency',
          status: 'passed',
          observed: '100% matched (0 orphaned FX)',
          threshold: '100%',
        },
        {
          id: 'q2',
          assertion: 'Non-negative Amount USD',
          column: 'amount_usd',
          status: 'passed',
          observed: '0 negative rows',
          threshold: '0 negative',
        },
        {
          id: 'q3',
          assertion: 'Timestamp Timezone Normalization',
          column: 'created_at_utc',
          status: 'passed',
          observed: 'All UTC ISO-8601',
          threshold: 'Valid UTC',
        },
      ],
      schemaColumns: [
        {
          name: 'charge_id',
          type: 'VARCHAR(64)',
          nullable: false,
          description: 'Normalized unique charge identifier',
        },
        {
          name: 'customer_id',
          type: 'VARCHAR(64)',
          nullable: true,
          description: 'Customer identifier reference',
        },
        {
          name: 'original_amount',
          type: 'DECIMAL(18,2)',
          nullable: false,
          description: 'Amount in transaction original currency',
        },
        {
          name: 'original_currency',
          type: 'VARCHAR(3)',
          nullable: false,
          description: 'Original ISO transaction currency',
        },
        {
          name: 'fx_rate_applied',
          type: 'DECIMAL(12,6)',
          nullable: false,
          description: 'Exchange rate multiplier to USD',
        },
        {
          name: 'amount_usd',
          type: 'DECIMAL(18,4)',
          nullable: false,
          description: 'Standardized gross revenue in USD',
        },
        {
          name: 'net_interchange_fee_usd',
          type: 'DECIMAL(18,4)',
          nullable: false,
          description: 'Estimated payment processing fees in USD',
        },
        {
          name: 'created_at_utc',
          type: 'TIMESTAMP_TZ',
          nullable: false,
          description: 'UTC converted timestamp',
        },
      ],
      logs: [
        {
          timestamp: '02:00:21.050',
          level: 'INFO',
          source: 'spark',
          message: 'Initialized PySpark cluster (executor_count: 4, cores_per_exec: 4, memory: 8GB)',
        },
        {
          timestamp: '02:00:22.410',
          level: 'INFO',
          source: 'upstream',
          message: 'Joined dependencies: extract_stripe_charges (OK), extract_currency_rates (OK)',
        },
        {
          timestamp: '02:00:24.980',
          level: 'INFO',
          source: 'dag.plan',
          message: 'Logical plan: BroadcastHashJoin(stripe_charges.currency = fx_rates.currency_code)',
        },
        {
          timestamp: '02:00:30.120',
          level: 'INFO',
          source: 'spark.exec',
          message: 'Partition 0-7 completed: Normalized cents to standardized float amounts',
        },
        {
          timestamp: '02:00:37.450',
          level: 'INFO',
          source: 'spark.exec',
          message: 'Calculated converted_amount_usd, net_interchange_fee_usd, and tax_withheld_usd',
        },
        {
          timestamp: '02:00:48.890',
          level: 'INFO',
          source: 'spark.exec',
          message: 'Partition 8-15 completed: Applied ISO-8601 UTC timestamp timezone adjustments',
        },
        {
          timestamp: '02:00:59.320',
          level: 'INFO',
          source: 'io.write',
          message: 'Emitted staging dataset to s3://lakehouse-stage/payments_fx/dt=2026-02-21/ (148,290 records)',
        },
        {
          timestamp: '02:01:03.650',
          level: 'SUCCESS',
          source: 'task',
          message: 'Task transform_normalize_fx finished in 42.600s. 0 join drops, 100% matched FX rates.',
        },
      ],
    },
    {
      id: 'validate_schema_anomalies',
      name: 'validate_schema_anomalies',
      category: 'validate',
      categoryLabel: 'VALIDATE',
      stageNumber: 3,
      stageTitle: 'Quality & Audit',
      operator: 'GreatExpectationsOperator',
      status: 'success',
      duration: '14s',
      durationSec: 14.3,
      records: '18/18 checks',
      bytes: '1.2 MB',
      startedAt: '02:01:04 UTC',
      finishedAt: '02:01:18 UTC',
      target: 'anomalies_audit',
      engine: 'Great Expectations 0.18 + Monte Carlo',
      upstream: ['transform_normalize_fx'],
      downstream: ['load_snowflake_warehouse'],
      retries: '0 / 3',
      memoryPeak: '412 MB',
      cpuPeak: '28%',
      configParams: {
        suite_name: 'suite_stripe_payments_strict_v3',
        assertion_count: '18',
        anomaly_detection_model: 'Z-Score 3-Sigma Rolling Window (30-day baseline)',
        halt_pipeline_on_error: 'True',
        alerting_webhook: 'slack://#data-pipeline-alerts',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'expect_column_values_to_not_be_null',
          column: 'charge_id',
          status: 'passed',
          observed: '148,290 / 148,290 (100%)',
          threshold: '100% non-null',
        },
        {
          id: 'q2',
          assertion: 'expect_column_values_to_be_unique',
          column: 'charge_id',
          status: 'passed',
          observed: '0 duplicate keys',
          threshold: '0 duplicates',
        },
        {
          id: 'q3',
          assertion: 'expect_column_values_to_be_in_set',
          column: 'status',
          status: 'passed',
          observed: 'succeeded, failed, refunded',
          threshold: 'Allowed set',
        },
        {
          id: 'q4',
          assertion: 'expect_column_values_to_be_between',
          column: 'amount_usd',
          status: 'passed',
          observed: '$0.50 - $24,900.00',
          threshold: '$0.50 - $250k',
        },
        {
          id: 'q5',
          assertion: 'expect_table_row_count_to_be_between',
          column: '*',
          status: 'passed',
          observed: '148,290 rows',
          threshold: '100,000 - 200,000',
        },
        {
          id: 'q6',
          assertion: 'expect_volume_drift_z_score_within_bound',
          column: 'daily_volume',
          status: 'passed',
          observed: 'z = +0.42 (Normal)',
          threshold: '|z| < 3.0',
        },
      ],
      schemaColumns: [
        {
          name: 'test_id',
          type: 'VARCHAR(64)',
          nullable: false,
          description: 'Unique assertion execution ID',
        },
        {
          name: 'expectation_type',
          type: 'VARCHAR(128)',
          nullable: false,
          description: 'Great Expectations rule name',
        },
        {
          name: 'target_column',
          type: 'VARCHAR(64)',
          nullable: true,
          description: 'Target column evaluated',
        },
        {
          name: 'result_status',
          type: 'VARCHAR(16)',
          nullable: false,
          description: 'PASS or FAIL status',
        },
        {
          name: 'observed_metrics',
          type: 'JSON',
          nullable: false,
          description: 'Computed profiling metrics summary',
        },
      ],
      logs: [
        {
          timestamp: '02:01:04.110',
          level: 'INFO',
          source: 'gx.suite',
          message: 'Loading expectation suite: suite_stripe_payments_strict_v3',
        },
        {
          timestamp: '02:01:05.420',
          level: 'INFO',
          source: 'assertion',
          message: '[1/18] expect_column_values_to_not_be_null(column=charge_id) -> PASSED (148,290/148,290 valid)',
        },
        {
          timestamp: '02:01:07.190',
          level: 'INFO',
          source: 'assertion',
          message: '[2/18] expect_column_values_to_be_unique(column=charge_id) -> PASSED (0 duplicate keys)',
        },
        {
          timestamp: '02:01:09.650',
          level: 'INFO',
          source: 'assertion',
          message: '[5/18] expect_column_values_to_be_in_set(column=status, set=[succeeded, failed, refunded]) -> PASSED',
        },
        {
          timestamp: '02:01:12.330',
          level: 'INFO',
          source: 'assertion',
          message:
            '[11/18] expect_column_values_to_be_between(column=amount_usd, min_value=0.50, max_value=250000.00) -> PASSED',
        },
        {
          timestamp: '02:01:15.840',
          level: 'INFO',
          source: 'assertion',
          message:
            '[18/18] expect_table_row_count_to_be_between(min_value=100000, max_value=200000) -> PASSED (148,290 rows)',
        },
        {
          timestamp: '02:01:17.200',
          level: 'INFO',
          source: 'anomaly',
          message:
            'Statistical z-score drift test: Revenue mean +1.4% vs 30d rolling window (within normal range: ±3.0σ)',
        },
        {
          timestamp: '02:01:18.410',
          level: 'SUCCESS',
          source: 'task',
          message: 'Quality suite passed with 100% score (18/18 expectations verified, 0 anomalies detected).',
        },
      ],
    },
    {
      id: 'load_snowflake_warehouse',
      name: 'load_snowflake_warehouse',
      category: 'load',
      categoryLabel: 'LOAD',
      stageNumber: 4,
      stageTitle: 'Warehouse Load',
      operator: 'SnowflakeMergeOperator',
      status: 'success',
      duration: '1m 20s',
      durationSec: 80.0,
      records: '148,290 rows',
      bytes: '74.8 MB',
      startedAt: '02:01:19 UTC',
      finishedAt: '02:02:39 UTC',
      target: 'fct_stripe_charges',
      engine: 'Snowflake / TRANSFORMING_XL',
      upstream: ['validate_schema_anomalies'],
      downstream: ['refresh_dbt_analytics_marts'],
      retries: '0 / 3',
      memoryPeak: '520 MB',
      cpuPeak: '15%',
      configParams: {
        database: 'PROD_ANALYTICS',
        schema: 'PAYMENTS',
        target_table: 'ANALYTICS.PAYMENTS.FCT_STRIPE_CHARGES',
        warehouse_name: 'TRANSFORMING_XL (4X-Large)',
        merge_primary_key: 'charge_id',
        clustering_keys: '(created_at_utc::date, original_currency)',
        auto_suspend_seconds: '60',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'Snowflake Transaction ACID Commit',
          column: 'txn_id',
          status: 'passed',
          observed: 'Committed #TXN-89021',
          threshold: 'Committed',
        },
        {
          id: 'q2',
          assertion: 'Merge Mutation Parity',
          column: 'rows_merged',
          status: 'passed',
          observed: '142.4k ins / 5.8k upd',
          threshold: '148,290 total',
        },
        {
          id: 'q3',
          assertion: 'Clustering Depth Efficiency',
          column: 'clustering_depth',
          status: 'passed',
          observed: 'Average depth: 1.12',
          threshold: '< 2.0',
        },
      ],
      schemaColumns: [
        {
          name: 'charge_id',
          type: 'VARCHAR(64)',
          nullable: false,
          description: 'Primary key charge hash',
        },
        {
          name: 'customer_id',
          type: 'VARCHAR(64)',
          nullable: true,
          description: 'Foreign key to DIM_CUSTOMERS',
        },
        {
          name: 'amount_usd',
          type: 'NUMBER(18,4)',
          nullable: false,
          description: 'Standardized gross charge amount in USD',
        },
        {
          name: 'fee_usd',
          type: 'NUMBER(18,4)',
          nullable: false,
          description: 'Interchange and payment gateway fees',
        },
        {
          name: 'net_usd',
          type: 'NUMBER(18,4)',
          nullable: false,
          description: 'Net deposited funds (amount_usd - fee_usd)',
        },
        {
          name: 'status',
          type: 'VARCHAR(32)',
          nullable: false,
          description: 'Current transactional settlement state',
        },
        {
          name: 'created_at_utc',
          type: 'TIMESTAMP_NTZ',
          nullable: false,
          description: 'Event timestamp',
        },
        {
          name: '_dbt_loaded_at',
          type: 'TIMESTAMP_NTZ',
          nullable: false,
          description: 'Warehouse load audit timestamp',
        },
      ],
      logs: [
        {
          timestamp: '02:01:19.040',
          level: 'INFO',
          source: 'snowflake',
          message: 'Establishing TLS 1.3 session to acct_finance.snowflakecomputing.com',
        },
        {
          timestamp: '02:01:21.320',
          level: 'INFO',
          source: 'warehouse',
          message: 'Resumed warehouse TRANSFORMING_XL (cluster_size: 4X-Large, auto_suspend: 60s)',
        },
        {
          timestamp: '02:01:24.890',
          level: 'SQL',
          source: 'query',
          message:
            'MERGE INTO ANALYTICS.PAYMENTS.FCT_STRIPE_CHARGES AS target USING @STAGE_S3_PAYMENTS AS stage ON target.charge_id = stage.charge_id WHEN MATCHED THEN UPDATE SET target.status = stage.status WHEN NOT MATCHED THEN INSERT (charge_id, customer_id, amount_usd, fee_usd, net_usd, status, created_at_utc, _dbt_loaded_at) VALUES (stage.charge_id, stage.customer_id, stage.amount_usd, stage.net_interchange_fee_usd, stage.amount_usd - stage.net_interchange_fee_usd, stage.status, stage.created_at_utc, CURRENT_TIMESTAMP())',
        },
        {
          timestamp: '02:01:45.120',
          level: 'INFO',
          source: 'pruner',
          message: 'Partition pruning: 42 micro-partitions scanned out of 1,280 total (96.7% pruned)',
        },
        {
          timestamp: '02:02:12.780',
          level: 'INFO',
          source: 'stats',
          message: 'Merge stats: 142,400 rows inserted, 5,890 existing rows updated (disputes/refund status sync)',
        },
        {
          timestamp: '02:02:32.410',
          level: 'INFO',
          source: 'cluster',
          message: 'Automatic clustering key (created_at_utc::date, original_currency) re-balanced in background',
        },
        {
          timestamp: '02:02:38.100',
          level: 'INFO',
          source: 'warehouse',
          message: 'Auto-suspend timer armed for warehouse TRANSFORMING_XL',
        },
        {
          timestamp: '02:02:39.050',
          level: 'SUCCESS',
          source: 'task',
          message: 'Snowflake warehouse load completed successfully in 80.010s. Target table committed.',
        },
      ],
    },
    {
      id: 'refresh_dbt_analytics_marts',
      name: 'refresh_dbt_analytics_marts',
      category: 'model',
      categoryLabel: 'MODEL',
      stageNumber: 5,
      stageTitle: 'Analytics Marts',
      operator: 'DbtCloudRunOperator',
      status: 'success',
      duration: '1m 40s',
      durationSec: 100.0,
      records: '12 models',
      bytes: '112.4 MB',
      startedAt: '02:02:40 UTC',
      finishedAt: '02:04:20 UTC',
      target: 'mart_finance_revenue',
      engine: 'dbt Core 1.8.2 / Jinja',
      upstream: ['load_snowflake_warehouse'],
      downstream: [],
      retries: '0 / 3',
      memoryPeak: '890 MB',
      cpuPeak: '62%',
      configParams: {
        dbt_project: 'bi_marts',
        target_environment: 'prod_snowflake',
        threads: '8',
        models_selection: 'tag:finance_daily+ tag:revenue_marts+',
        manifest_version: 'dbt-core v1.8.2 (schema v12)',
        downstream_webhooks: 'Looker Cache Flush, Hex App Refresh, Metabase Sync',
      },
      qualityChecks: [
        {
          id: 'q1',
          assertion: 'dbt Schema & Custom Tests',
          column: 'all_marts',
          status: 'passed',
          observed: '48/48 tests passed (0 failures)',
          threshold: '100% pass',
        },
        {
          id: 'q2',
          assertion: 'Incremental Model Freshness',
          column: 'fct_daily_gross_revenue',
          status: 'passed',
          observed: 'Watermark: 2026-02-21 02:00 UTC',
          threshold: '< 3h',
        },
        {
          id: 'q3',
          assertion: 'BI Semantic Layer Sync',
          column: 'Looker/Hex',
          status: 'passed',
          observed: '3/3 endpoints acknowledged',
          threshold: 'All ACK',
        },
      ],
      schemaColumns: [
        {
          name: 'report_date',
          type: 'DATE',
          nullable: false,
          description: 'Reporting dimension day',
        },
        {
          name: 'gross_revenue_usd',
          type: 'DECIMAL(20,2)',
          nullable: false,
          description: 'Total daily revenue converted to USD',
        },
        {
          name: 'net_revenue_usd',
          type: 'DECIMAL(20,2)',
          nullable: false,
          description: 'Gross revenue minus fees and refunds',
        },
        {
          name: 'active_paying_customers',
          type: 'INTEGER',
          nullable: false,
          description: 'Distinct customer count for the day',
        },
        {
          name: 'dispute_rate_pct',
          type: 'DECIMAL(6,4)',
          nullable: false,
          description: 'Daily payment dispute percentage',
        },
        {
          name: 'mrr_impact_usd',
          type: 'DECIMAL(18,2)',
          nullable: false,
          description: 'MRR movement delta attribution',
        },
      ],
      logs: [
        {
          timestamp: '02:02:40.090',
          level: 'INFO',
          source: 'dbt',
          message: 'Found 12 models, 48 tests, 6 snapshots, 4 semantic metrics in project bi_marts',
        },
        {
          timestamp: '02:02:42.510',
          level: 'INFO',
          source: 'dbt',
          message: 'Concurrency: 8 threads across target database PROD_ANALYTICS',
        },
        {
          timestamp: '02:02:48.330',
          level: 'INFO',
          source: 'dbt',
          message: '1 of 12 START incremental model marts.fct_daily_gross_revenue ................ [RUN]',
        },
        {
          timestamp: '02:02:59.880',
          level: 'INFO',
          source: 'dbt',
          message: '1 of 12 OK created incremental model marts.fct_daily_gross_revenue ........... [SUCCESS 11.55s]',
        },
        {
          timestamp: '02:03:00.120',
          level: 'INFO',
          source: 'dbt',
          message: '2 of 12 START table model marts.dim_customer_ltv .............................. [RUN]',
        },
        {
          timestamp: '02:03:18.420',
          level: 'INFO',
          source: 'dbt',
          message: '2 of 12 OK created table model marts.dim_customer_ltv ......................... [SUCCESS 18.30s]',
        },
        {
          timestamp: '02:03:19.050',
          level: 'INFO',
          source: 'dbt',
          message: '3 of 12 START view model marts.finance_mrr_arr_summary ....................... [RUN]',
        },
        {
          timestamp: '02:03:26.700',
          level: 'INFO',
          source: 'dbt',
          message: '3 of 12 OK created view model marts.finance_mrr_arr_summary ................... [SUCCESS 7.65s]',
        },
        {
          timestamp: '02:03:27.100',
          level: 'INFO',
          source: 'dbt',
          message: '4 of 12 START incremental model marts.fct_payment_dispute_rates .............. [RUN]',
        },
        {
          timestamp: '02:03:45.920',
          level: 'INFO',
          source: 'dbt',
          message: '4 of 12 OK created incremental model marts.fct_payment_dispute_rates ........ [SUCCESS 18.82s]',
        },
        {
          timestamp: '02:03:46.300',
          level: 'INFO',
          source: 'dbt',
          message: '5 to 12 START remaining downstream aggregate semantic marts .................. [RUN]',
        },
        {
          timestamp: '02:04:12.180',
          level: 'INFO',
          source: 'dbt',
          message: 'Running 48 data integrity tests on rebuilt marts ............................ [PASS 48/48]',
        },
        {
          timestamp: '02:04:18.500',
          level: 'INFO',
          source: 'dbt',
          message: 'Generated docs manifest and catalog metadata to target/manifest.json',
        },
        {
          timestamp: '02:04:20.120',
          level: 'SUCCESS',
          source: 'dbt',
          message:
            'Finished running 12 models, 48 tests in 100.03s. All marts synchronized with Looker/Hex BI semantic layer.',
        },
      ],
    },
  ]
  
  const selectedNode = computed(() => {
    return pipelineNodes.find((n) => n.id === selectedNodeId.value) ?? pipelineNodes[0]
  })
  
  function selectNode(id: string) {
    selectedNodeId.value = id
  }
  
  function handleTriggerDag() {
    if (isTriggering.value) return
    isTriggering.value = true
    triggerSuccessToast.value = false
  
    setTimeout(() => {
      isTriggering.value = false
      triggerSuccessToast.value = true
      setTimeout(() => {
        triggerSuccessToast.value = false
      }, 4000)
    }, 1600)
  }
  
  async function handleExportFullRunLog() {
    const fullLog = pipelineNodes
      .map((node) => {
        const header = `=== Task: ${node.name} (${node.operator}) - Duration: ${node.duration} ===`
        const body = node.logs.map((l) => `[${l.timestamp}] [${l.level}] [${l.source}] ${l.message}`).join('\n')
        return `${header}\n${body}`
      })
      .join('\n\n')
  
    try {
      await navigator.clipboard.writeText(fullLog)
      copiedAllLogs.value = true
      setTimeout(() => {
        copiedAllLogs.value = false
      }, 2500)
    } catch {
      // Fallback
    }
  }
  
  function getNodeCategoryBadgeClass(category: NodeCategory) {
    switch (category) {
      case 'ingest':
        return 'border-info/30 bg-info/10 text-info'
      case 'transform':
        return 'border-chart-1/30 bg-chart-1/10 text-chart-1'
      case 'validate':
        return 'border-warning/30 bg-warning/10 text-warning'
      case 'load':
        return 'border-chart-2/30 bg-chart-2/10 text-chart-2'
      case 'model':
        return 'border-success/30 bg-success/10 text-success'
      default:
        return 'border-border bg-muted text-muted-foreground'
    }
  }
  
  function getNodeIcon(id: string) {
    switch (id) {
      case 'extract_stripe_charges':
        return CreditCard
      case 'extract_currency_rates':
        return Globe
      case 'transform_normalize_fx':
        return Cpu
      case 'validate_schema_anomalies':
        return ShieldCheck
      case 'load_snowflake_warehouse':
        return Database
      case 'refresh_dbt_analytics_marts':
        return Layers
      default:
        return Workflow
    }
  }
  </script>
  
  <template>
    <div data-slot="etl-pipeline-dag" :class="cn('w-full space-y-6', props.class)">
      <!-- Top Pipeline Header Card -->
      <Card class="border-border bg-card shadow-xs">
        <CardContent class="flex flex-col gap-4 p-5 sm:flex-row sm:items-center sm:justify-between">
          <!-- Left Title and DAG Badges -->
          <div class="flex min-w-0 items-start gap-3.5 sm:items-center">
            <div
              class="border-primary/20 bg-primary/10 text-primary flex size-11 shrink-0 items-center justify-center rounded-xl border shadow-xs"
            >
              <Workflow class="size-5" />
            </div>
  
            <div class="min-w-0 space-y-1.5">
              <div class="flex flex-wrap items-center gap-2">
                <h2 class="text-foreground font-mono text-base font-semibold tracking-tight break-all sm:text-lg">
                  stripe_payments_daily_etl
                </h2>
                <Badge variant="secondary" class="font-mono text-xs">v2.4.1</Badge>
              </div>
  
              <div class="flex flex-wrap items-center gap-2">
                <!-- DAG Schedule Badge -->
                <Badge variant="outline" class="gap-1.5 font-mono text-xs shadow-xs">
                  <Clock class="text-muted-foreground size-3" />
                  <span>0 2 * * * · Daily at 02:00 UTC</span>
                </Badge>
  
                <!-- State Badge -->
                <Badge variant="success" class="gap-1.5 font-mono text-xs shadow-xs">
                  <CheckCircle2 class="size-3" />
                  <span>State: Success · Run ID: #run_90412</span>
                </Badge>
  
                <!-- Live Queue Toast -->
                <Badge
                  v-if="triggerSuccessToast"
                  variant="info"
                  class="animate-in fade-in-0 gap-1.5 font-mono text-xs duration-300"
                >
                  <Zap class="size-3" />
                  <span>Triggered Run #run_90413 queued!</span>
                </Badge>
              </div>
            </div>
          </div>
  
          <!-- Right Action Buttons -->
          <div class="flex flex-wrap items-center gap-2.5">
            <Button
              variant="outline"
              size="sm"
              class="h-8.5 gap-1.5 text-xs font-medium"
              :disabled="copiedAllLogs"
              @click="handleExportFullRunLog"
            >
              <component :is="copiedAllLogs ? Check : FileDown" class="size-3.5" />
              <span>{{ copiedAllLogs ? 'Run Log Copied!' : 'Export Run Log' }}</span>
            </Button>
  
            <Button
              variant="default"
              size="sm"
              class="h-8.5 gap-1.5 text-xs font-medium"
              :disabled="isTriggering"
              @click="handleTriggerDag"
            >
              <Loader2 v-if="isTriggering" class="size-3.5 animate-spin" />
              <Play v-else class="size-3.5 fill-current" />
              <span>{{ isTriggering ? 'Triggering DAG Run...' : 'Trigger DAG Run' }}</span>
            </Button>
          </div>
        </CardContent>
      </Card>
  
      <!-- 4 Pipeline Health Metric Cards -->
      <div class="grid grid-cols-1 gap-3.5 sm:grid-cols-2 lg:grid-cols-4">
        <!-- Total Duration -->
        <Card class="border-border bg-card shadow-xs">
          <CardContent class="flex flex-col justify-between p-4.5">
            <div class="flex items-center justify-between">
              <span class="text-muted-foreground text-xs font-medium">Total Duration</span>
              <div
                class="border-border bg-muted/60 text-muted-foreground flex size-7 items-center justify-center rounded-md border"
              >
                <Clock class="size-3.5" />
              </div>
            </div>
            <div class="mt-2 space-y-1">
              <div class="text-foreground font-mono text-2xl font-bold tracking-tight tabular-nums">04m:18s</div>
              <div class="flex items-center gap-1.5 text-xs">
                <span class="text-success font-medium">On schedule</span>
                <span class="text-muted-foreground font-mono tabular-nums">-14s vs 7d avg</span>
              </div>
            </div>
          </CardContent>
        </Card>
  
        <!-- Tasks Completed -->
        <Card class="border-border bg-card shadow-xs">
          <CardContent class="flex flex-col justify-between p-4.5">
            <div class="flex items-center justify-between">
              <span class="text-muted-foreground text-xs font-medium">Tasks Completed</span>
              <div
                class="border-success/30 bg-success/10 text-success flex size-7 items-center justify-center rounded-md border"
              >
                <CheckCircle2 class="size-3.5" />
              </div>
            </div>
            <div class="mt-2 space-y-1.5">
              <div class="text-foreground font-mono text-2xl font-bold tracking-tight tabular-nums">
                8 / 8 tasks succeeded
              </div>
              <div class="space-y-1">
                <Progress :model-value="100" class="h-1.5" />
                <p class="text-muted-foreground text-xs">100% completion · 0 retries · 0 failed</p>
              </div>
            </div>
          </CardContent>
        </Card>
  
        <!-- Records Ingested -->
        <Card class="border-border bg-card shadow-xs">
          <CardContent class="flex flex-col justify-between p-4.5">
            <div class="flex items-center justify-between">
              <span class="text-muted-foreground text-xs font-medium">Records Ingested</span>
              <div
                class="border-border bg-muted/60 text-muted-foreground flex size-7 items-center justify-center rounded-md border"
              >
                <Database class="size-3.5" />
              </div>
            </div>
            <div class="mt-2 space-y-1">
              <div class="text-foreground font-mono text-2xl font-bold tracking-tight tabular-nums">148,290 records</div>
              <div class="flex items-center gap-1.5 text-xs">
                <span class="text-success font-medium">100% data fidelity</span>
                <span class="text-muted-foreground">0 dropped rows</span>
              </div>
            </div>
          </CardContent>
        </Card>
  
        <!-- Data Freshness -->
        <Card class="border-border bg-card shadow-xs">
          <CardContent class="flex flex-col justify-between p-4.5">
            <div class="flex items-center justify-between">
              <span class="text-muted-foreground text-xs font-medium">Data Freshness</span>
              <div
                class="border-border bg-muted/60 text-muted-foreground flex size-7 items-center justify-center rounded-md border"
              >
                <Zap class="size-3.5" />
              </div>
            </div>
            <div class="mt-2 space-y-1">
              <div class="text-foreground font-mono text-2xl font-bold tracking-tight tabular-nums">
                Lag: 12m · SLA &lt; 1h
              </div>
              <div class="flex items-center gap-1.5 text-xs">
                <span class="text-success font-medium">SLA Healthy</span>
                <span class="text-muted-foreground">Target: &lt; 60m sync</span>
              </div>
            </div>
          </CardContent>
        </Card>
      </div>
  
      <!-- Interactive DAG Node Pipeline Graph (Connected DAG Flow) -->
      <Card class="border-border bg-card shadow-xs">
        <CardHeader class="pb-3">
          <div class="flex flex-col gap-2 sm:flex-row sm:items-center sm:justify-between">
            <div>
              <div class="flex items-center gap-2">
                <CardTitle class="text-base font-semibold">DAG Execution Topology</CardTitle>
                <Badge variant="outline" class="font-mono text-xs">6 Connected Tasks</Badge>
              </div>
              <CardDescription class="text-xs">
                Directed acyclic graph with dependency streams. Select any node to inspect telemetry and execution logs.
              </CardDescription>
            </div>
  
            <!-- Quick Topology Status Info -->
            <div class="flex flex-wrap items-center gap-2 text-xs">
              <div
                class="border-border bg-muted/30 text-muted-foreground flex items-center gap-1.5 rounded-md border px-2 py-1 font-mono"
              >
                <span class="bg-success inline-block size-2 rounded-full" />
                <span>All Upstreams Resolved</span>
              </div>
              <div
                class="border-border bg-muted/30 text-muted-foreground flex items-center gap-1.5 rounded-md border px-2 py-1 font-mono"
              >
                <GitBranch class="size-3" />
                <span>Topology: 2 Branches &rarr; Converged</span>
              </div>
            </div>
          </div>
        </CardHeader>
  
        <CardContent class="p-4 pt-1 sm:p-6">
          <!-- DAG Canvas Box -->
          <div class="border-border bg-muted/10 relative rounded-xl border p-4 sm:p-5">
            <!-- Desktop 5-Stage Topology Pipeline Layout -->
            <div class="grid grid-cols-1 gap-5 lg:grid-cols-5">
              <!-- Stage 1: Extract / Ingest (2 Parallel Sources) -->
              <div class="flex flex-col justify-between gap-3.5">
                <div class="flex items-center justify-between px-1">
                  <span class="text-muted-foreground font-mono text-xs font-semibold tracking-wider uppercase">
                    01 · Extract (2)
                  </span>
                  <Badge variant="outline" class="text-xs">Parallel</Badge>
                </div>
  
                <!-- Node 1: extract_stripe_charges -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'extract_stripe_charges'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('extract_stripe_charges')"
                  @keydown.enter="selectNode('extract_stripe_charges')"
                  @keydown.space.prevent="selectNode('extract_stripe_charges')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="border-info/30 bg-info/10 text-info flex size-7 items-center justify-center rounded-md border"
                      >
                        <CreditCard class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('ingest'))"> INGEST </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      18s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">extract_stripe_charges</div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">148.3k records · 42.6 MB</div>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">raw_stripe.charges</span>
                    <ArrowRight
                      class="text-muted-foreground group-hover:text-primary size-3 shrink-0 transition-colors"
                    />
                  </div>
                </div>
  
                <!-- Node 2: extract_currency_rates -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'extract_currency_rates'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('extract_currency_rates')"
                  @keydown.enter="selectNode('extract_currency_rates')"
                  @keydown.space.prevent="selectNode('extract_currency_rates')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="border-info/30 bg-info/10 text-info flex size-7 items-center justify-center rounded-md border"
                      >
                        <Globe class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('ingest'))"> INGEST </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      4s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">extract_currency_rates</div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">34 FX pairs · 128 KB</div>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">raw_currency.rates</span>
                    <ArrowRight
                      class="text-muted-foreground group-hover:text-primary size-3 shrink-0 transition-colors"
                    />
                  </div>
                </div>
              </div>
  
              <!-- Stage 2: Transform (PySpark Normalization) -->
              <div class="flex flex-col justify-between gap-3.5">
                <div class="flex items-center justify-between px-1">
                  <span class="text-muted-foreground font-mono text-xs font-semibold tracking-wider uppercase">
                    02 · Transform
                  </span>
                  <Badge variant="secondary" class="font-mono text-xs">Join 2&rarr;1</Badge>
                </div>
  
                <!-- Node 3: transform_normalize_fx -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative my-auto cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'transform_normalize_fx'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('transform_normalize_fx')"
                  @keydown.enter="selectNode('transform_normalize_fx')"
                  @keydown.space.prevent="selectNode('transform_normalize_fx')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="border-chart-1/30 bg-chart-1/10 text-chart-1 flex size-7 items-center justify-center rounded-md border"
                      >
                        <Cpu class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('transform'))"> TRANSFORM </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      42s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">transform_normalize_fx</div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">148,290 rows · PySpark 3.5</div>
                  </div>
  
                  <div class="mt-2 flex flex-wrap gap-1">
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      2 Upstreams
                    </span>
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      Snappy
                    </span>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">stg_payments_fx</span>
                    <ArrowRight
                      class="text-muted-foreground group-hover:text-primary size-3 shrink-0 transition-colors"
                    />
                  </div>
                </div>
              </div>
  
              <!-- Stage 3: Quality & Validation (Great Expectations) -->
              <div class="flex flex-col justify-between gap-3.5">
                <div class="flex items-center justify-between px-1">
                  <span class="text-muted-foreground font-mono text-xs font-semibold tracking-wider uppercase">
                    03 · Quality
                  </span>
                  <Badge variant="outline" class="font-mono text-xs">18 Checks</Badge>
                </div>
  
                <!-- Node 4: validate_schema_anomalies -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative my-auto cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'validate_schema_anomalies'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('validate_schema_anomalies')"
                  @keydown.enter="selectNode('validate_schema_anomalies')"
                  @keydown.space.prevent="selectNode('validate_schema_anomalies')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="border-warning/30 bg-warning/10 text-warning flex size-7 items-center justify-center rounded-md border"
                      >
                        <ShieldCheck class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('validate'))"> VALIDATE </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      14s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">validate_schema_anomalies</div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">18/18 checks passed (100%)</div>
                  </div>
  
                  <div class="mt-2 flex flex-wrap gap-1">
                    <span class="border-success/30 bg-success/10 text-success rounded px-1.5 py-0.5 font-mono text-xs">
                      0 Anomalies
                    </span>
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      Z-Score 3σ
                    </span>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">anomalies_audit</span>
                    <ArrowRight
                      class="text-muted-foreground group-hover:text-primary size-3 shrink-0 transition-colors"
                    />
                  </div>
                </div>
              </div>
  
              <!-- Stage 4: Warehouse Load (Snowflake) -->
              <div class="flex flex-col justify-between gap-3.5">
                <div class="flex items-center justify-between px-1">
                  <span class="text-muted-foreground font-mono text-xs font-semibold tracking-wider uppercase">
                    04 · Load
                  </span>
                  <Badge variant="outline" class="font-mono text-xs">Snowflake</Badge>
                </div>
  
                <!-- Node 5: load_snowflake_warehouse -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative my-auto cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'load_snowflake_warehouse'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('load_snowflake_warehouse')"
                  @keydown.enter="selectNode('load_snowflake_warehouse')"
                  @keydown.space.prevent="selectNode('load_snowflake_warehouse')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="flex size-7 items-center justify-center rounded-md border border-cyan-500/30 bg-cyan-500/10 text-cyan-500"
                      >
                        <Database class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('load'))"> LOAD </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      1m 20s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">load_snowflake_warehouse</div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">148,290 rows merged</div>
                  </div>
  
                  <div class="mt-2 flex flex-wrap gap-1">
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      4X-Large
                    </span>
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      Clustered
                    </span>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">fct_stripe_charges</span>
                    <ArrowRight
                      class="text-muted-foreground group-hover:text-primary size-3 shrink-0 transition-colors"
                    />
                  </div>
                </div>
              </div>
  
              <!-- Stage 5: Analytics Modeling (dbt Core) -->
              <div class="flex flex-col justify-between gap-3.5">
                <div class="flex items-center justify-between px-1">
                  <span class="text-muted-foreground font-mono text-xs font-semibold tracking-wider uppercase">
                    05 · Marts
                  </span>
                  <Badge variant="outline" class="font-mono text-xs">dbt Core</Badge>
                </div>
  
                <!-- Node 6: refresh_dbt_analytics_marts -->
                <div
                  role="button"
                  tabindex="0"
                  :class="
                    cn(
                      'group focus-visible:ring-ring relative my-auto cursor-pointer rounded-xl border p-3.5 transition-colors duration-200 focus-visible:ring-2 focus-visible:outline-none',
                      selectedNodeId === 'refresh_dbt_analytics_marts'
                        ? 'border-primary bg-primary/[0.04] ring-primary/30 shadow-xs ring-2'
                        : 'border-border bg-card hover:border-primary/50 hover:bg-muted/30',
                    )
                  "
                  @click="selectNode('refresh_dbt_analytics_marts')"
                  @keydown.enter="selectNode('refresh_dbt_analytics_marts')"
                  @keydown.space.prevent="selectNode('refresh_dbt_analytics_marts')"
                >
                  <div class="flex items-start justify-between gap-2">
                    <div class="flex items-center gap-2">
                      <div
                        class="border-success/30 bg-success/10 text-success flex size-7 items-center justify-center rounded-md border"
                      >
                        <Layers class="size-3.5" />
                      </div>
                      <Badge :class="cn('font-mono text-xs', getNodeCategoryBadgeClass('model'))"> MODEL </Badge>
                    </div>
                    <Badge variant="success" class="gap-1 font-mono text-xs">
                      <Check class="size-3" />
                      1m 40s
                    </Badge>
                  </div>
  
                  <div class="mt-2.5">
                    <div class="text-foreground font-mono text-xs font-semibold break-all">
                      refresh_dbt_analytics_marts
                    </div>
                    <div class="text-muted-foreground mt-0.5 font-mono text-xs">12 models · 48 tests</div>
                  </div>
  
                  <div class="mt-2 flex flex-wrap gap-1">
                    <span class="border-border bg-muted/60 text-muted-foreground rounded px-1.5 py-0.5 font-mono text-xs">
                      8 Threads
                    </span>
                    <span class="border-success/30 bg-success/10 text-success rounded px-1.5 py-0.5 font-mono text-xs">
                      BI Synced
                    </span>
                  </div>
  
                  <div class="border-border/60 mt-3 flex items-center justify-between border-t pt-2 text-xs">
                    <span class="text-muted-foreground truncate font-mono">mart_finance_revenue</span>
                    <CheckCircle2 class="text-success size-3 shrink-0" />
                  </div>
                </div>
              </div>
            </div>
          </div>
        </CardContent>
      </Card>
  
      <!-- Selected Node Log Inspector Panel -->
      <EtlNodeDetail
        :node="selectedNode"
        :category-badge-class="cn('font-mono text-xs', getNodeCategoryBadgeClass(selectedNode.category))"
        :node-icon="getNodeIcon(selectedNode.id)"
        @select="selectNode"
      />
    </div>
  </template>
  

• app/components/blocks/EtlNodeDetail.vue17.5 kB

  Copy