add-geolocation

Habilidad de implementación interna invocada por /add-native para el seguimiento GPS nativo en segundo plano con almacenamiento duradero y sincronización con Dataverse usando…

npx skills add https://github.com/microsoft/power-platform-skills --skill add-geolocation

Shared instructions: shared-instructions.md - read first.

Working directory: before any project read or command, execute native-artifact-compatibility.md Step 0. Inherit /add-native's resolved absolute working_dir; bind every shell call and file tool to it, even when this helper starts from another directory.

Add Geolocation

Internal helper for /add-native geolocation, /add-native location-tracking, /add-native background-location, /add-native gps-tracking, and /add-native @microsoft/power-apps-native-bglocation.

Use this only for continuous/background GPS tracking with native durable storage and inline Dataverse upload. For a single foreground coordinate read, use /add-native location (expo-location) instead.

Hard rules:

  • Auth is MSAL-only. Do not expose OneAuth or an auth selector.
  • Use geoService(dataSource, app_id) and BgLocationClient.
  • Do not use GeolocationExtension, HostingSDK, PCF, Launch URI, or CordovaV2 bridge paths.
  • Do not install packages or edit native config.
  • The control is not usable until its Dataverse target table and mapped columns are verified.

1. Verify app and package

cd -- '<working_dir>' || { echo "BLOCKED: cannot enter working_dir" >&2; exit 1; }
test -f app.config.js && test -f power.config.json && test -f package.json && test -d src || { echo "BLOCKED: working_dir is not an initialized app" >&2; exit 1; }
node -e "const p=require('./package.json'); const m='@microsoft/power-apps-native-bglocation'; if (!p.dependencies?.[m]) { console.error('MISSING: ' + m); process.exit(1); } console.log('OK: geolocation package present');"

If either check fails, stop. The template/app must already ship the native package.

2. Verify the Dataverse target table first

This control uses the package default Dataverse entity set:

msdyn_locationrecords

Do not ask the user for a table name and do not invent a custom table. msdyn_locationrecords must already exist before the control can be used.

cd -- '<working_dir>' || { echo "BLOCKED: cannot enter working_dir" >&2; exit 1; }
ENV_JSON=$(node "${PLUGIN_ROOT}/scripts/resolve-environment.js" "$(node -e "console.log(require('./power.config.json').environmentId)")")
ENV_URL=$(node -e "const j=JSON.parse(process.argv[1]); process.stdout.write(j.environmentUrl || '')" "$ENV_JSON")

TABLE="msdyn_locationrecords"
node "${PLUGIN_ROOT}/scripts/dataverse-request.js" "$ENV_URL" GET \
  "EntityDefinitions?\$filter=EntitySetName eq '$TABLE'&\$select=LogicalName,EntitySetName"

Required result:

  • One row returned: capture LogicalName and verify columns.
  • Empty value: []: stop. Mark BLOCKED (target table missing). Do not create the table, do not route to /add-dataverse, and do not report the control as usable. Tell the user to run the geolocation-control table provisioning/setup mechanism, then re-run /add-native geolocation.
  • Auth/environment error: stop. Mark UNVERIFIED (target table not checked). Do not report the control as usable.

When the table exists, verify every mapped column exists:

cd -- '<working_dir>' || { echo "BLOCKED: cannot enter working_dir" >&2; exit 1; }
node "${PLUGIN_ROOT}/scripts/dataverse-request.js" "$ENV_URL" GET \
  "EntityDefinitions(LogicalName='<logicalName>')/Attributes?\$select=LogicalName,AttributeType"

Required default fieldMap columns from the package README:

msdyn_locationrecordid, msdyn_appid, msdyn_latitude, msdyn_longitude,
msdyn_altitude, msdyn_accuracy, msdyn_heading, msdyn_speed, msdyn_timestamp

If any active fieldMap column is missing, stop. Mark BLOCKED (target columns missing) and tell the user to fix the control table through the geolocation-control table provisioning/setup mechanism.

2a. Reconcile requested artifacts

Read and execute native-artifact-compatibility.md Steps 1–3 for the geolocation row before any writes or reuse. Inherit the current approval/mode from /add-native; do not repeat a valid scoped approval. Inspect src/native/geolocation.ts for all requested tracking/status/location exports, GeoTrackingTarget, MSAL-only geoService/BgLocationClient, required connectionUrl/trackInBackground/persistAcrossRestarts, durable storage, and Dataverse sync. Reuse Step 2's verified msdyn_locationrecords columns; one-shot location or a wrapper targeting another table is not compatible. An incompatible artifact outside approval returns NEEDS_CONTEXT to the owner, or asks standalone; missing table/columns remain BLOCKED, never a usable-control success.

3. Write src/native/geolocation.ts

Apply Step 2a's decision for src/native/geolocation.ts: create when requested and missing, reuse unchanged only if compatible, or make only the approved scoped update. Preserve custom code, exports, and callers; do not overwrite from the example. Screens import this wrapper, not the package directly.

The target config must require the README's two tracking flags:

  • trackInBackground: boolean
  • persistAcrossRestarts: boolean
// src/native/geolocation.ts
import {
  geoService,
  BgLocationClient,
  AuthMethod,
  ConnectionType,
} from '@microsoft/power-apps-native-bglocation';
import type {
  DataverseDataSource,
  LocationData,
  PermissionStatus,
} from '@microsoft/power-apps-native-bglocation';

export type { LocationData, PermissionStatus } from '@microsoft/power-apps-native-bglocation';

export type GeoTrackingTarget = Omit<DataverseDataSource, 'authMethod' | 'connectionType'>;

export type GeoResult<T> =
  | { ok: true; value: T }
  | {
      ok: false;
      reason: 'NATIVE_MODULE_MISSING' | 'PERMISSION_DENIED' | 'TRACKING_FAILED';
      message?: string;
    };

let activeClient: BgLocationClient | null = null;

function client(): BgLocationClient {
  return activeClient ?? new BgLocationClient();
}

function dataSource(target: GeoTrackingTarget): DataverseDataSource {
  return {
    ...target,
    authMethod: AuthMethod.MSAL,
    connectionType: ConnectionType.Dataverse,
  };
}

function fail(error: unknown): Extract<GeoResult<never>, { ok: false }> {
  const message = error instanceof Error ? error.message : String(error);
  if (/native|module|not.*link|undefined is not an object|null is not an object/i.test(message)) {
    return { ok: false, reason: 'NATIVE_MODULE_MISSING', message };
  }
  if (/permission|denied|authoriz|not granted/i.test(message)) {
    return { ok: false, reason: 'PERMISSION_DENIED', message };
  }
  return { ok: false, reason: 'TRACKING_FAILED', message };
}

export async function startTracking(
  app_id: string,
  target: GeoTrackingTarget,
): Promise<GeoResult<void>> {
  try {
    activeClient = geoService(dataSource(target), app_id);
    await activeClient.startTracking();
    return { ok: true, value: undefined };
  } catch (error) {
    activeClient = null;
    return fail(error);
  }
}

export async function stopTracking(): Promise<GeoResult<void>> {
  try {
    await client().stopTracking();
    activeClient = null;
    return { ok: true, value: undefined };
  } catch (error) {
    return fail(error);
  }
}

export async function isTracking(): Promise<GeoResult<boolean>> {
  try {
    return { ok: true, value: await client().isTracking() };
  } catch (error) {
    return fail(error);
  }
}

export async function getPermissionStatus(): Promise<GeoResult<PermissionStatus>> {
  try {
    return { ok: true, value: await client().getPermissionStatus() };
  } catch (error) {
    return fail(error);
  }
}

export async function getCurrentLocation(): Promise<GeoResult<LocationData>> {
  try {
    return { ok: true, value: await client().getCurrentLocation() };
  } catch (error) {
    return fail(error);
  }
}

4. Usage shape

Integration guidance for the owner; do not edit screens in this helper.

Screens must pass connectionUrl, trackInBackground, and persistAcrossRestarts. Do not pass tableName or fieldMap; the control uses the default msdyn_locationrecords table and default msdyn_* field map. intervalMs, distanceFilterMeters, and notification are optional.

const target: GeoTrackingTarget = {
  connectionUrl: 'https://org.crm.dynamics.com',
  trackInBackground: true,
  persistAcrossRestarts: false,
};

await startTracking('my-wrap-app', target);

5. Type-check and summary

cd -- '<working_dir>' || { echo "BLOCKED: cannot enter working_dir" >&2; exit 1; }
npx --no-install tsc --noEmit

Execute the shared compatibility contract's Step 4 after type-checking. Recheck all requested tracking APIs/flags, MSAL auth, durable storage/sync, and failure paths. Type-check success alone is insufficient; do not fix screen/generated files. Only after the requested artifact contract, table + columns, and TypeScript all pass, return the shared compatibility result and actual created/updated/reused paths before reporting:

Geolocation status : READY
Package present    : @microsoft/power-apps-native-bglocation
Wrapper            : src/native/geolocation.ts
Required config    : connectionUrl, trackInBackground, persistAcrossRestarts
Auth               : MSAL only
Target table       : <TABLE> verified
Native config      : not changed

If table verification failed, report BLOCKED or UNVERIFIED instead and do not update memory-bank.md as if the control is ready.

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
Guía para instrumentar aplicaciones web con Azure Application Insights. Proporciona patrones de telemetría, configuración del SDK y referencias de configuración. CUÁNDO: cómo instrumentar una aplicación, SDK de App Insights, patrones de telemetría, qué es App Insights, guía de Application Insights, ejemplos de instrumentación, mejores prácticas de APM.
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