Publish Crystal Reports on Bitbucket Data



Use the Report Wizard and standard ADO.NET to design a report based on up-to-date Bitbucket data.

The CData ADO.NET Provider for Bitbucket is fully integrated into the SAP Crystal Reports for Visual Studio development environment. You can employ standard ADO.NET components to construct reports, much like you would with SQL Server, but with the added advantage of real-time connectivity to Bitbucket. This article will guide you through the essential three steps to incorporate Bitbucket data into a report that refreshes upon opening.

Note: You will need to install SAP Crystal Reports, developer version for Visual Studio to follow this tutorial.

Create a Crystal Reports Application

To follow this article, you will also need a Visual Studio Crystal Reports project. This article will add a report to a WPF application. You can create one by clicking File -> New Project and then selecting the Crystal Reports WPF Application template. In the resulting wizard, select the option to create a blank report.

Connect to Bitbucket

Creating an ADO.NET data source for Bitbucket from Server Explorer makes it easy to create a DataSet that can be used in Crystal Reports wizards and the Crystal Reports Designer. You can find a guide to working with Bitbucket data in Server Explorer in the "Getting Started" chapter of the help documentation.

For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

  • Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
  • Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

Authenticating to Bitbucket

Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

Creating a custom OAuth application

From your Bitbucket account:

  1. Go to Settings (the gear icon) and select Workspace Settings.
  2. In the Apps and Features section, select OAuth Consumers.
  3. Click Add Consumer.
  4. Enter a name and description for your custom application.
  5. Set the callback URL:
    • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
    • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
  6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
  7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
  8. To save the new custom application, click Save.
  9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.

When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Create a DataSet

Follow the steps below to use the Visual Studio ADO.NET DataSet Designer to create an ADO.NET DataSet object. Crystal Reports will bind to the DataSet object, which contains Bitbucket table metadata. Note that this approach also adds a connection string to App.config; you will use this connection string later to load data into the report.

  1. In the Solution Explorer, right-click your project and then click Add -> New Item.
  2. Select DataSet. The DataSet Designer is then displayed.
  3. Drag and drop tables from Server Explorer onto the DataSet Designer. This article uses the Issues table.

Add Bitbucket Fields to the Report

Follow the steps below to add columns from the DataSet to the report:

  1. Double-click the .rpt file in the Solution Explorer to open the Crystal Reports Designer.
  2. Right-click the designer and click Database -> Database Expert.
  3. Expand the Project Folder and ADO.NET DataSets nodes and drag the DataSet you created into the Selected Tables box. The fields are now accessible from the Field Explorer.
  4. Drag and drop fields from the Field Explorer to the Details section or another section of your report.

Load Data into the Report

Having created the DataSet, which will only contain the metadata, you will now need to create the DataTable containing the actual data. You can use the BitbucketDataAdapter to fill a DataTable with the results of an SQL query.

  1. Add a reference to System.Configuration.dll to your project to be able to use the connection string from App.config.
  2. In App.config, add the following code to the configuration node for compatibility with Crystal Reports when working with .NET 4.0:
    
      <startup useLegacyV2RuntimeActivationPolicy="true">
        <supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.0"/>
      </startup>
    
  3. Add the following references in your Window.xaml.cs file:

    using System.Configuration;
    using CrystalDecisions.CrystalReports.Engine;
    using CrystalDecisions.Shared;
    using System.Data.CData.Bitbucket;
    using System.Data;
    
  4. Add the following Window_Loaded method in your Window.xaml.cs to execute the SQL query that will return the DataTable. Note that your query needs to select at least the same columns used in your report.

    private void Window_Loaded(object sender, RoutedEventArgs e) {
      ReportDocument report = new ReportDocument();
      report.Load("../../CrystalReport1.rpt"); 
     var connectionString = ConfigurationManager.ConnectionStrings["MyAppConfigConnectionStringName"].ConnectionString;
      using (BitbucketConnection connection = new BitbucketConnection(connectionString)) {
        BitbucketDataAdapter dataAdapter = new BitbucketDataAdapter(
        "SELECT Title, ContentRaw FROM Issues WHERE Id = '1'", connection);
         DataSet set = new DataSet("_set");
         DataTable table = set.Tables.Add("_table");
         dataAdapter.Fill(table);
         report.SetDataSource(table);
      }
      reportViewer.ViewerCore.ReportSource = report;
    }
    
  5. In the Window.xaml file, add the Loaded event so that your Window tag resembles the following:

    
    <Window x:Class="CrystalReportWpfApplication4.Window1"
            xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
            xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
            xmlns:cr="clr-namespace:SAPBusinessObjects.WPF.Viewer;assembly=SAPBusinessObjects.WPF.Viewer"
            Title="WPF Crystal Report Viewer" Height="600" Width="800" Loaded="Window_Loaded">
            ...
    </Window>
    
  6. Run the report. When the report is loaded, the provider executes the query to retrieve the current data.

Chart Bitbucket Data

You can also use the DataSet with experts like the Chart Expert:

  1. Right-click in the Crystal Reports Designer and click Insert -> Chart.
  2. Select the Report Header or Report Footer section. The Chart Expert is then displayed.
  3. On the Type tab, select the chart type. This article uses a side-by-side bar chart.
  4. On the Data tab, select the column and conditions for the x-axis. For example, drag the Title column in the DataSet node onto the box under the On Change Of menu.
  5. Select the x-axis column and click the TopN and Order buttons to configure sorting and limiting.
  6. Select the columns and summary operations for the y-axis. For example, drag the ContentRaw column in the DataSet node into the Show Values box.
  7. Run the report.

Note that Crystal Reports performs the aggregation on the data already loaded into DataTable, instead of, for example, executing a GROUP BY to the Bitbucket API. This will also be true for the report creation wizards.

You could gain more control over the queries executed to Bitbucket by creating another DataSet and populating it with a different query. See the help documentation for more information on the driver's SQL engine.

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