bechynsky

# https://docs.microsoft.com/en-us/graph/powershell/installation
# https://docs.microsoft.com/en-us/graph/powershell/get-started
# https://developer.microsoft.com/en-us/graph/graph-explorer
# https://tech.nicolonsky.ch/exploring-the-new-microsoft-graph-powershell-modules/

Connect-MgGraph -Scopes "User.Read.All", "GroupMember.Read.All", "Group.Read.All", "Directory.Read.All"
$GROUP_NAME = 'Workspace'

$group = Get-MgGroup -Filter "DisplayName eq '$GROUP_NAME'"

bechynsky

# https://tower.hardwario.com/en/latest/hardware/about-climate-module/
#
# MariaDB database setup
#
# create database climate;
# create user 'python'@'localhost' identified by 'Pyth0n';
# grant all privileges on climate.* to 'python'@'localhost';
# FLUSH PRIVILEGES;
#
# create table temperature(

bechynsky

# https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-static-website-how-to?tabs=azure-portal
# https://tower.hardwario.com/en/latest/hardware/about-climate-module/

import os
import datetime
from paho.mqtt import client as mqtt

from azure.storage.blob import BlobClient
from azure.storage.blob import ContentSettings

bechynsky

# https://pypi.org/project/azure-iot-device/
from azure.iot.device import IoTHubDeviceClient, Message
from sense_hat import SenseHat

sense = SenseHat()

t = sense.get_temperature()
h = sense.get_humidity()
p = sense.get_pressure()

bechynsky

// https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/quickstarts/image-classification?tabs=visual-studio&pivots=programming-language-javascript

const util = require('util');
const fs = require('fs');
const TrainingApi = require("@azure/cognitiveservices-customvision-training");
const PredictionApi = require("@azure/cognitiveservices-customvision-prediction");
const msRest = require("@azure/ms-rest-js");

const trainingKey = "";
const predictionKey = "";

bechynsky

// https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/quickstarts/object-detection?tabs=visual-studio&pivots=programming-language-javascript

const util = require('util');
const fs = require('fs');
const TrainingApi = require("@azure/cognitiveservices-customvision-training");
const PredictionApi = require("@azure/cognitiveservices-customvision-prediction");
const msRest = require("@azure/ms-rest-js");

const trainingKey = "";
const predictionKey = "";

bechynsky

/*

You neeed to create App.config file with this content

<?xml version="1.0" encoding="utf-8"?>
<configuration>
    <appSettings>
        <add key="storage" value="YOUR CONNECTION SRING TO AZURE STORAGE ACCOUNT" />
    </appSettings>
</configuration>

bechynsky

import requests
from pprint import pprint

subscription_key = ''
endpoint = ''
api_url = endpoint + 'vision/v3.1/analyze'
image_url = ''

headers = {'Ocp-Apim-Subscription-Key': subscription_key,
           'Content-Type': 'application/json'}

bechynsky

from picamera import PiCamera
from azure.storage.blob import BlobServiceClient, BlobClient, BlobSasPermissions, generate_blob_sas
from datetime import datetime, timedelta

# You need to create container first
container_name = ''
account_name = ''
key = ''

connection_string = 'DefaultEndpointsProtocol=https;AccountName=' + account_name + ';AccountKey=' + key + ';EndpointSuffix=core.windows.net'

bechynsky

export RESOURCE_GROUP=""
export RESOURCE_NAME=""
export LOCATION=""
export DB_NAME=""
export COLLECTION=""
export PARTITION_KEY=""

az group create --name $RESOURCE_GROUP --location $LOCATION
az cosmosdb create --name $RESOURCE_NAME --kind GlobalDocumentDB --resource-group $RESOURCE_GROUP
az cosmosdb sql database create  --name $DB_NAME --account-name $RESOURCE_NAME --resource-group $RESOURCE_GROUP