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Updated notebooks to make them more "general" (#15660)
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* Updated notebooks to make them more "general"

* updated gitignore, added models, updated path

* reverted gitignore

* reverting gitignore

* Renamed some files, changed model id to be more generic
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BillmanH authored and iscai-msft committed Sep 29, 2021
1 parent 6ce2bcb commit 2b27bfb
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{
"@id": "dtmi:mymodels:patron;1",
"@type": "Interface",
"displayName": "Patron",
"contents": [
{
"@type": "Command",
"name": "order",
"request": {
"name": "wallet",
"displayName": "available money",
"description": "how much the patron is willing to spend",
"schema": "double"
},
"response": {
"name": "decision",
"displayName": "consumer decision",
"schema": "string"
}
},
{
"@type": "Property",
"name": "totalWaitTime",
"displayName": "Total Wait Time",
"schema": "double",
"comment": "time in seconds that the customer is required to wait"
},
{
"@type": "Property",
"name": "satisfaction",
"displayName": "Customer Satisfaction",
"schema": "integer",
"comment": "1-10 scale of how likely to recommend to a friend (NPS)"
},
{
"@type": "Relationship",
"name": "locatedIn"
}
],
"@context": "dtmi:dtdl:context;2",
"comment": "This should represent one restaurant visitor.",
"description": "As an example, contains all of the properties possible in the DTDL."
}
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{
"@id": "dtmi:mymodels:area;1",
"@type": "Interface",
"displayName": "area",
"contents": [
{
"@type": "Property",
"name": "capacity",
"displayName": "capacity",
"schema": "double",
"comment": "How many people can safely be in this area."
},
{
"@type": "Property",
"name": "status",
"displayName": "status",
"schema": "string",
"comment": "open, closed, etc."
},
{
"@type": "Relationship",
"name": "occupiedBy"
}
],
"@context": "dtmi:dtdl:context;2",
"comment": "A number of people in a room",
"description": "a room"
}
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{
"@id": "dtmi:mymodels:line;1",
"@type": "Interface",
"displayName": "line",
"contents": [
{
"@type": "Property",
"name": "capacity",
"displayName": "capacity",
"schema": "double",
"comment": "How many people can safely wait in this line."
},
{
"@type": "Property",
"name": "status",
"displayName": "status",
"schema": "string",
"comment": "current status of the line"
},
{
"@type": "Relationship",
"name": "leadsTo",
"properties": [
{
"@type": "Property",
"name": "walk_distance",
"schema": "double"
}
]
}
],
"@context": "dtmi:dtdl:context;2",
"comment": "lines can hold a number of people.",
"description": "a group of people waiting to get into a place."
}
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{
"@id": "dtmi:mymodels:ticket;1",
"@type": "Interface",
"displayName": "ticket",
"contents": [
{
"@type": "Property",
"name": "purchaselocation_lat",
"displayName": "puchased location (latitude)",
"schema": "double",
"comment": "latitude of the place where the ticket was purchased"
},
{
"@type": "Property",
"name": "purchaselocation_long",
"displayName": "puchased location",
"schema": "double",
"comment": "longitude of the place where the ticket was purchased"
},
{
"@type": "Property",
"name": "sold_to",
"displayName": "sold to",
"schema": "string",
"comment": "UID of the purchaser from customer data"
},
{
"@type": "Property",
"name": "event_title",
"displayName": "event name",
"schema": "string",
"comment": "name or id of the event"
},
{
"@type": "Property",
"name": "ticket_location",
"displayName": "ticket location",
"schema": "string",
"comment": "location of the seat, for demonstration this is just a number"
},
{
"@type": "Property",
"name": "state",
"displayName": "state",
"schema": "string",
"comment": "current state of the ticket"
},
{
"@type": "Relationship",
"name": "ownedBy",
"properties": [
{
"@type": "Property",
"name": "bought_online",
"schema": "boolean"
}
]
}
],
"@context": "dtmi:dtdl:context;2",
"comment": "A number of tickets are placed into ADT before purchase with the initial state: open",
"description": "an abstract ticket"
}
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## Digital Twin Tutorial

These notebooks will show you how to create a graph and interact with it through the Python API. It will build a venue and allow you to measure the customer satisfaction of people as the pass through the system.


You will need:
* A conda environment with the latest `Azure-Digital-Twin SDK`
* The Azure CLI tools for authentication
* The digital twin explorer
* A digital twin account, where you have sufficient permission.


The perspective of these notebooks is from the role of the **Analyst** not an application. The purpose is to use the graph to get insights on customers. This would allow you to query the API in real time, as events are happening.

| notebook | purpose |
|----------|:-------------:|
| 01 | The basics of connecting, uploading models and creating twins |
| 02 | More details about creating relationships, updating values and basic queries |
| 03 | Some examples of arbitrary model changes that I made to shape the model |
| 04 | More detail about running queries with some examples of how to get insights |

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