app-validation

Qué validar y cómo manejar Playwright para la app de esta plantilla. Úsalo junto con la habilidad playwright-cli — playwright-cli cubre los comandos de la herramienta;…

npx skills add https://github.com/microsoft/fabric-apps-analytic-templates --skill app-validation

App Validation

Use this skill together with the playwright-cli skill when validating the running app in a browser. The playwright-cli skill is upstream-managed and only covers the tool itself; this skill captures everything specific to this template. This app can only be tested and validated with the Fabric portal embed flow. See Testing inside the Fabric portal embed. NEVER test directly against localhost - the app will not work correctly.

Performance Rules

Use minimal initial_wait

Always use initial_wait: 1 for all playwright-cli tool calls to avoid unnecessary delays. Do not increase it unless explicitly required.

Carve-out: the first open against the Fabric portal embed (*.fabric.microsoft.com/...?devUri=...) takes 20–40s to render the appbackend chrome. Use initial_wait: 30 once for that call, then 1 afterward. See Testing inside the Fabric portal embed.

Skip auth — always

NEVER interact with or validate the token/auth prompt page. Inside your run-code call, inject the auth token via sessionStorage.setItem (or localStorage.setItem) and mock API responses with page.route() before calling page.reload(). The app must skip the auth prompt and render actual content immediately.

Carve-out: this rule applies to apps that gate themselves behind a token check the agent controls. For real AAD redirects (e.g. the Fabric portal sign-in flow at login.microsoftonline.com), do not click sign-in buttons or fill credentials, and do not mock sessionStorage — use a --persistent profile instead so the user signs in once and cookies replay on subsequent runs. See Testing inside the Fabric portal embed.

Skip screenshots unless asked

Only take a screenshot if the user explicitly requests one. Use snapshot (YAML accessibility tree) for validation.

Required Checks

  • UI elements render correctly and are visible.
  • Text meets accessibility standards.
  • No console errors from the app. Ignore Fabric portal noise - see console-error-filter.

Visual Consistency Checks

  • Verify key layout containers have non-zero computed padding and gap values. Zero spacing usually indicates an invalid token class mapping.
  • Verify each visual's card background matches the app's other cards — it comes from containerClassName, not from a wrapper div.
  • Verify card chrome is not painted twice — by both a wrapper and the visual's own container.
  • Verify bar and arc stroke colors match card background (not primary text color).
  • Verify axis label and data-label colors are consistent across charts using shared foreground-secondary semantics.
  • Verify grouped/multi-series bar charts do not show auto-injected data labels unless explicitly requested by design.
  • Verify every visual displays its expected content. Charts must render visible, correctly positioned data marks; grids must render their expected headers and cells.
  • Verify chart render height is healthy for each chart canvas/SVG. Treat charts rendering below ~100px as suspicious and below ~50px as likely squished.
  • Verify standalone (non-grid) chart sections use definite height instead of only minHeight when chart wrappers use h-full.
  • Compare computed fontSize, fontFamily, and color across related input, select, and button controls in the same toolbar/filter row.
  • Include a page.evaluate style check in validation runs that reports spacing/token and form typography mismatches as structured failures.
  • Include a page.evaluate chart-height check that inspects chart canvas/SVG client heights and reports squished-chart mismatches.

Testing inside the Fabric portal embed

The URL under test should be *.fabric.microsoft.com and contain devUri=, so the app is being rendered inside the Fabric portal as a deeply-nested iframe (portal → *pbiabd.powerbi.com/appbackend → http://localhost:5173). Use the template's wired-up flow instead of the generic open recipe.

Provisioning preflight

Before launching the browser, check that the combined values in .env.local and .env.fabric include all three values required to identify an existing Fabric AppBackend:

  • VITE_FABRIC_PORTAL_URL
  • VITE_FABRIC_WORKSPACE_ID
  • VITE_FABRIC_ITEM_ID

If any value is missing, provision the app using the exact target Fabric workspace URI supplied by the user or task:

npx rayfin up --workspace-uri "<target-workspace-uri>"

If no target workspace URI was supplied, ask the user for one. rayfin up provisions the Fabric AppBackend and writes the required values to the environment files; it does not need to be rerun before every validation when valid deployment configuration already exists.

Start the development server

Run the Vite development server in a separate, long-running terminal and confirm that the URL reported by Vite responds before opening the Fabric portal:

npm run dev

If Vite uses a non-default URL (a URL that is not http://localhost:5173), set DEV_URL to that URL in the same shell command that runs npm run test:fabric.

Launch the Fabric browser session

npm run test:fabric

This runs scripts/open-fabric-portal.mjs, which composes the embed URL from the VITE_FABRIC_* environment files and launches a named persistent session with the right Chromium flags:

playwright-cli -s=fabric open --persistent --config=.playwright-config.json "<embed-url>"

npm run test:fabric only opens the browser session. It does not provision the AppBackend, start the development server, or perform the required checks. Use subsequent playwright-cli -s=fabric commands to inspect and validate the embedded app frame.

Why three pieces are required

PieceReason
--persistent profileReal AAD sign-in cannot be mocked. The user signs in once; cookies persist for subsequent playwright-cli -s=fabric open calls.
.playwright-config.json Chromium flagDisables BlockInsecurePrivateNetworkRequests / LocalNetworkAccessChecks so the HTTPS Fabric portal can iframe the local Vite server. Header-based opt-in does not work for top-level iframe navigations.
Vite localNetworkAccessPluginSends Access-Control-Allow-Private-Network: true and answers LNA preflights, so fetch/XHR subresources from the embedded app pass. Belt-and-suspenders with the browser flag.

Frame discovery snippet

The app loads three frames deep. Use this single run-code to locate it (replace localhost:5173 with the actual Vite URL if different):

async page => {
  await page.waitForFunction(
    () => Array.from(document.querySelectorAll('iframe')).some(i => i.src.includes('localhost:5173')),
    { timeout: 30000 }
  );
  await page.waitForTimeout(3000);
  const f = page.frames().find(x => x.url().startsWith('http://localhost:5173'));
  const errFrame = page.frames().find(x => x.url().startsWith('chrome-error'));
  return {
    loaded: !!f,
    blockedByLNA: !!errFrame,
    title: f ? await f.title() : null,
  };
}

If blockedByLNA: true, the Chromium flag isn't taking effect — confirm --config=.playwright-config.json was passed.

Console error filter

The Fabric portal emits its own errors that are not app bugs. Treat them as portal noise and ignore them. Only errors whose source origin matches the embedded app server’s origin count as app errors.

See references/fabric-embed.md for the full frame walker, classifyConsoleMessages helper, and troubleshooting matrix.

Spec Files

Add spec files alongside source files as needed — for components, hooks, utilities, and query factory functions. Co-locate each spec file with the file it tests.

When to add spec files:

  • Always for pure utility functions in src/lib/ — these are easiest to unit-test and most likely to have edge cases.
  • Always for query factory functions in src/queries/ — verify that parameter combinations produce the correct query string, column metadata, and spec modifications.
  • As needed — for hooks, test state transitions, returned values, and side effects using a React hooks testing library.
  • As needed — for components, add spec files when the component contains non-trivial logic (e.g., conditional rendering, derived state, error states). Simple presentational components with no logic do not need a spec file.

Key rules:

  • Never create a spec file just to satisfy coverage targets. Write tests only when they document expected behavior or guard against regressions.
  • Tests must not use mock or hardcoded data to stand in for real query results — use representative fixture data that matches the real column shape.
  • Keep each spec focused on one unit; do not write integration tests that span multiple layers.

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development