olafwrieden

// Create the Table
.create table MyTable (Title: string, Description: string, Importance: string, User: string)

// Append a sample entry
.append MyTable <|
    print "Some Title", "This is a long description.", "Low", "Olaf Wrieden"

olafwrieden

{
  "bindings": [
    {
      "name": "file",
      "type": "blobTrigger",
      "direction": "in",
      "path": "files/{name}",
      "connection": "AzureWebJobsStorage"
    },
    {

olafwrieden

{
  "name": "example",
  "version": "1.0.0",
  "private": true,
  "scripts": {
    "start": "react-scripts start",
    "sync:i18n": "ts-node --project ../scripts/tsconfig.json ../scripts/syncTranslations.ts",
    "build": "react-scripts build",
    "test": "react-scripts test"
  }

olafwrieden

from pyapacheatlas.auth import ServicePrincipalAuthentication
from pyapacheatlas.auth import BasicAuthentication
from pyapacheatlas.core import PurviewClient, AtlasEntity, AtlasProcess
from pyapacheatlas.core.util import AtlasException, GuidTracker
from json import dumps

# Configure Service Principal Authentication
auth = ServicePrincipalAuthentication(
    tenant_id = "xxxxxxx-xxxxxx-xxxxx-xxxxx-xxxxxxxxxx", 
    client_id = "xxxxxx-xxxxx-xxxxx-xxxxx-xxxxxxx", # Client ID, 

olafwrieden

name: Pull Request Preview

on:
  pull_request:
    types: [opened, synchronize, closed]
    branches:
      - main
    paths:
      - "app/**"
  workflow_dispatch:

olafwrieden

const Landing = () => {
  const { config: alertMessage } = useConfiguration('Landing:Alert'); // The config key from App Config
  const { enabled: showLandingAlert } = useFeatureFlag('ShowLandingAlert'); // The feature flag key from App Config
  
  const showAlert = showLandingAlert && alertMessage.toString().trim().length;

  return (
    <>
      {showAlert && <TopAlert color="success">{alertMessage}</TopAlert>}

olafwrieden

const { TextAnalyticsClient, AzureKeyCredential } = require("@azure/ai-text-analytics");
const client = new TextAnalyticsClient(process.env["TEXT_ANALYSIS_ENDPOINT"], new AzureKeyCredential(process.env["TEXT_ANALYSIS_KEY"]));

module.exports = async function (context, req) {
  // Extract submitted text from request body
  const text = req.body && req.body.text;

  if (!text) {
    // Error if no text was found
    return context.res = {