TimHanewich.Cds 2.5.0

TimHanewich.Cds

A lightweight library for interacting with Microsoft's Dataverse service (formerly Common Data Service or "XRM"), the native data service of Microsoft's Power Platform and Dynamics 365 platform.

This library alleviates the need to create custom HTTP requests to interact with Dataverse. After providing the service with a few parameters, you can easily interact with the CDS through the traditional CRUD operators.

Install the package

To install the package in your .NET (C# or VB.NET) project, add the following package from NuGet: TimHanewich.Cds Run this command in the .NET CLI:

dotnet add package TimHanewich.Cds

Authenticating with Dataverse

This class library supports authentication to the Dataverse web API. Use the CdsAuthenticator class to authenticate.

CdsAuthenticator auth = new CdsAuthenticator();
auth.Username = "<your username>";
auth.Password = "<your password>";
auth.ClientId = Guid.Parse("51f81489-12ee-4a9e-aaae-a2591f45987d");
auth.Resource = "https://<your org>.crm.dynamics.com/";
await auth.GetAccessTokenAsync();

After running the GetAccessTokenAsync method, your access token will be stored inside the CdsAuthenticator object as the AccessToken property. Provide this AccessToken to the CdsService constructor (see below) to start using the Dataverse web API.

Initializing the CDS Service

Place the following import statements at the top of your code file.

using TimHanewich.Cds;  
using Newtonsoft.Json;  
using Newtonsoft.Json.Linq;

Create a new CDS Service

CdsService cds = new CdsService("YourOrgName", "YourAccessToken");

In the above example, replace "YourOrgName" with the organization name for your environment. For example, if your environment URL is https://org109a2adc0.crm.dynamics.com/, your org name is "org109a2adc0".

Replace "YourAccessToken" with the access token that you have received after authenticating through either the OAuth authentication flow or the above authentication using the CdsAuthenticator class (recommended).

Creating a record

We will use the CreateRecordAsync method of the CdsService to create a new record. This method accepts two parameters:
setter - the setter (schema) name of the entity. This can be found by going to https://<your_org_name>.crm.dynamics.com/api/data/v9.0/ in an authenticated window.
object_json - The JSON content of the record that you are creating.

A complete example of initializing a CDS Service and creating a new account record:

CdsService cds = new CdsService("YourOrgName", "YourAccessToken");
await cds.CreateRecordAsync("accounts", "{\"name\":\"123 Industries\"}");

Reading, Updating, and Deleting

The reading, updating, and deleting methods are very similar to the CreateRecordAsync method that is detailed above. The only difference is that these three methods also have a parameter called id which serves as the unique identifier of the record that you are trying to transact on.
This id parameter is the GUID value associated with the record that you can find in Dynamics 365 or the Power Platform CDS portal.

Working with Tables & Attributes

This package also provides the ability to read table and attribute structures. To leverage this capability import the resources by placing this statement at the top of your file:

using TimHanewich.Cds.Metadata;

Get a list of all records in the databse

Use the GetEntityMetadataSummariesAsync method to receive and array of record summaries:

EntityMetadataSummary[] summaries = await service.GetEntityMetadataSummariesAsync();

Each EntityMetadataSummary object contains the name of the record and "URL Extension" of the record that can be used to query records of this entity type.

Get metadata for a particular table

Use the GetEntityMetadataAsync method to access metadata for a particular table.

EntityMetadata AccountsTableData = service.GetEntityMetadataAsync("account").Result;

The EntityMetadata object provides details about all attributes (columns) in the table:

foreach (AttributeMetadata attribute in AccountsTableData.Attributes)
{
    Console.WriteLine(attribute.DisplayName);
    Console.WriteLine(attribute.SchemaName);
    Console.WriteLine(attribute.LogicalName);
    Console.WriteLine(attribute.Description);
    Console.WriteLine(attribute.AttributeType.ToString());
}

Advanced Read Operation

This package also supports more complex read requests - for example, specifying certain columns to include, filtering based on column values, and requesting data from a related table.

Request a Single Record

If you know the unique ID of the record you would like data for, you can request a single record as such:

CdsReadOperation read = new CdsReadOperation();
read.TableIdentifier = "contacts";
read.RecordId = Guid.Parse("9b8b1f4d-da14-ec11-b6e6-000d3a99fcc1");
JObject[] QueryResults = await service.ExecuteCdsReadOperationAsync(read);
Console.WriteLine("Your one record:");
Console.WriteLine(QueryResults[0].ToString());

In the example above, the service object is an instance of the CdsService class.

Specify Certain Columns

To save bandwidth and improve download times, you can also specify certain columns to include. Building from the code snippet above:

read.AddColumn("firstname");
read.AddColumn("lastname");

please note that if you do not specify a single column via the AddColumn method, all columns will be included by default.

Add a Query Filter (or multiple!)

You can also add a filter to your query. For example, if you are trying to select all invoices with a total value over $1,000:

CdsReadOperation read = new CdsReadOperation();
read.TableIdentifier = "invoices";

CdsReadFilter filter = new CdsReadFilter();
filter.ColumnName = "total";
filter.Operator = ComparisonOperator.GreaterThan;
filter.SetValue(1000);
read.AddFilter(filter);

JObject[] results = await service.ExecuteCdsReadOperationAsync(read);

If you need to use multiple filter statements, you can also do this:

CdsReadOperation read = new CdsReadOperation();
read.TableIdentifier = "invoices";

CdsReadFilter filter = new CdsReadFilter();
filter.ColumnName = "total";
filter.Operator = ComparisonOperator.GreaterThan;
filter.SetValue(1000);
read.AddFilter(filter);

CdsReadFilter filter2 = new CdsReadFilter();
filter2.LogicalOperatorPrefix = LogicalOperator.And;
filter2.ColumnName = "customer";
filter2.SetValue(Guid.Parse("9b8b1f4d-da14-ec11-b6e6-000d3a99fcc1"));
read.AddFilter(filter2);

JObject[] results = await service.ExecuteCdsReadOperationAsync(read);

The key above is to define the LogicalOperatorPrefix property of the second filter. This is the logical prefix (for example "and", "or") that will be added between this filter and the preceeding filter.

Request Data from a Related Record

Dataverse supports referrential table relationships via the Lookup data type. If you would like to include data from a related table, you can do so like this:

CdsReadOperation read = new CdsReadOperation();
read.TableIdentifier = "patients";

TableSelection related = new TableSelection();
related.TableIdentifier = "father";
read.Expand = related;

The key above is to set the Expand property of the CdsReadOperation to a TableSelection instance.
You can also limit to only certain columns you would like from the related table:

CdsReadOperation read = new CdsReadOperation();
read.TableIdentifier = "patients";

TableSelection related = new TableSelection();
related.TableIdentifier = "father";
related.AddColumn("firstname");
related.AddColumn("lastname");
related.AddColumn("dateofbirth");
read.Expand = related;