Export Catalog

GoodData.UI visual components render data stored in your GoodData Cloud or GoodData.CN workspaces. Your application specifies what data to render by referencing the Logical Data Model (LDM) objects: attributes, display forms (also known as labels), facts, and measures.

To simplify this task, GoodData.UI offers the @gooddata/catalog-export tool. @gooddata/catalog-export exports a list of catalog items and date datasets from a GoodData workspace into JavaScript or TypeScript code. The generated code contains exported constant-per-LDM-object.

Using this generated code, you can create charts and execution definitions in a very efficient and natural way.

Built-in integrations

Accelerator Toolkit applications

The @gooddata/catalog-export tool is installed and integrated into all applications bootstrapped using the @gooddata/app-toolkit tool. A bootstrapped application’s package.json contains the refresh-md script that you can call to start the @gooddata/catalog-export tool with arguments derived from your application configuration.

If you created your application using @gooddata/app-toolkit, you may be interested in additional configuration options described further in this document.

Dashboard plugins

The @gooddata/catalog-export tool is installed and integrated into all dashboard plugins bootstrapped using the @gooddata/plugin-toolkit tool. A bootstrapped plugin project’s package.json contains the refresh-md script that you can call to start the @gooddata/catalog-export tool with arguments derived from your plugin configuration.

In addition to that, you may be interested in additional configuration options and recommendations described further in this document.

Installing @gooddata/catalog-export

Include @gooddata/catalog-export as a devDependency of your application. Launching it through npx is not supported. If you start the tool using npx and try to export the catalog into a JavaScript file, you will encounter errors.

To install the stable version, run one of the following commands depending on your package manager:

yarn

yarn add @gooddata/catalog-export --dev

npm

$ npm install @gooddata/catalog-export --save-dev

Using @gooddata/catalog-export

@gooddata/catalog-export is a command-line tool designed to retrieve metadata from a workspace and convert it into TypeScript or JavaScript representation. This tool offers three operational modes - interactive, silent, and hybrid.

This is how it works:

The program searches the package.json file for gooddata entry. If found, the program reads input parameters from this file.

TypeScript or JavaScript output files are generated based on the filename extension specified in the output parameter.

The configuration can contain some, or all, of the parameters that you would typically provide on the command line:

```json
{
    ...
    "gooddata": {
        "hostname": "https://your.gooddata.hostname.com",
        "workspaceId": "your_gooddata_workspaceid",
        "catalogOutput": "desired_file_name.ts|js",
    },
    ...
}
```

Hostname protocol

The hostname has to include the protocol (http:// / https://), otherwise you will get a fairly generic connection refused error, when trying to connect.

It is not possible to specify api token in package.json file, as it is typically saved in VCS (e.g. Git). Instead, credentials can be specified through environmental variables. We also load .env file if it’s present in the same folder.
```
TIGER_API_TOKEN=<your_token_for_the_tiger_server>
```
NOTE: Make sure to never commit .env file to your version control system.
The program also reads input parameters from the command line. To learn more about the available parameters, run the following command:
npx @gooddata/catalog-export --help
Parameters provided via the command line take precedence over the corresponding parameters in the package.json file.
If all required parameters are entered, the program runs and exports the metadata from the workspace. If any parameter is missing, the program will prompt you to enter it.
IMPORTANT! The program does not accept passwords via the command line. You can either put the password into .env or enter it interactively.

The tool uses Bearer token authentication when communicating with your GoodData Cloud instance or your GoodData.CN installation. For more information about how to obtain API tokens, see the GoodData Cloud and GoodData.CN authentication page.

Subsequent catalog exports

The catalog export will overwrite the generated files. If you need to modify the generated constants or add new LDM objects, do so through a layer of indirection: in a different file adjacent to the generated code.

Recommendations

Include @gooddata/catalog-export as a devDependency of your application and define an NPM script refresh-md to run the program.
Do not import the constants directly. Instead, wrap the constants into a namespace as follows:
```
import * as Md from "./md/generatedFile";
export { Md };
```
Never modify the generated files.
If you need to modify the generated constants or add new LDM objects, do so through a layer of indirection: in a different file adjacent to the generated code. For examples, look at our reference-workspace LDM and package.

Example

Attributes with multiple display forms (labels) are generated into a constant such as this:

export const City = {
    /**
     * Display Form Title: city
     * Display Form ID: label.uscities.city
     */
    Default: newAttribute("label.uscities.city"),
    /**
     * Display Form Title: location
     * Display Form ID: label.uscities.city.location
     */
    Location: newAttribute("label.uscities.city.location"),
};

Attributes with a single display form (label) are generated into a constant such as this:

/**
 * Attribute Title: Location Resort
 * Display Form ID: attr.restaurantlocation.locationresort
 */
export const LocationResort = newAttribute("label.restaurantlocation.locationresort");

MAQL metrics are generated into a constant such as this:

/**
 * Metric Title: $ Total Sales
 * Metric ID: aa7ulGyKhIE5
 * Metric Type: MAQL Metric
 */
export const $TotalSales = newMeasure("aa7ulGyKhIE5");
/**
 * Metric Title: $ Franchise Fees
 * Metric ID: aaEGaXAEgB7U
 * Metric Type: MAQL Metric
 */
export const $FranchiseFees = newMeasure("aaEGaXAEgB7U");
/**
 * Metric Title: $ Franchise Fees (Ad Royalty)
 * Metric ID: aabHeqImaK0d
 * Metric Type: MAQL Metric
 */
export const $FranchiseFeesAdRoyalty = newMeasure("aabHeqImaK0d");
/**
 * Metric Title: $ Franchise Fees (Ongoing Royalty)
 * Metric ID: aaWGcgnsfxIg
 * Metric Type: MAQL Metric
 */
export const $FranchiseFeesOngoingRoyalty = newMeasure("aaWGcgnsfxIg");

For facts, @gooddata/catalog-export generates an object with keys for each supported aggregation:

/**
 * Fact Title: Cost
 * Fact ID: fact.restaurantcostsfact.cost
 */
export const Cost = {
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: sum
     */
    Sum: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("sum")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: count
     */
    Count: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("count")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: avg
     */
    Avg: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("avg")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: min
     */
    Min: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("min")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: max
     */
    Max: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("max")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: median
     */
    Median: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("median")),
    /**
     * Fact Title: Cost
     * Fact ID: fact.restaurantcostsfact.cost
     * Fact Aggregation: runsum
     */
    Runsum: newMeasure("fact.restaurantcostsfact.cost", (m) => m.aggregation("runsum")),
};

For date datasets, @gooddata/catalog-export includes one constant DateDatasets. The date dimension name is the property in the DateDatasets. Attributes with multiple display forms are generated as follows:

/** Available Date Data Sets */
export const DateDatasets = {
  /**
   * Date Data Set Title: Date (Timeline)
   * Date Data Set ID: timeline.dataset.dt
   */
  Timeline: {
    ref: idRef("timeline.dataset.dt", "dataSet"),
    identifier: "timeline.dataset.dt"
    /**
     * Display Form Title: Short (Jan) (Timeline)
     * Display Form ID: timeline.abm81lMifn6q
     */
    Short: newAttribute("timeline.abm81lMifn6q"),
    /**
     * Display Form Title: Long (January) (Timeline)
     * Display Form ID: timeline.abs81lMifn6q
     */
    Long: newAttribute("timeline.abs81lMifn6q"),
    /**
     * Display Form Title: Number (M1) (Timeline)
     * Display Form ID: timeline.abq81lMifn6q
     */
    Number: newAttribute("timeline.abq81lMifn6q"),
    /**
     * Display Form Title: M/Q (M1/Q1) (Timeline)
     * Display Form ID: timeline.abo81lMifn6q
     */
    MQ: newAttribute("timeline.abo81lMifn6q"),
};

Date dataset attributes that do not have multiple display forms are generated as follows:

/** Available Date Data Sets */
export const DateDatasets = {
    /**
     * Date Data Set Title: Date (Created)
     * Date Data Set ID: created.dataset.dt
     */
    Created: {
        ref: idRef("created.dataset.dt", "dataSet"),
        identifier: "created.dataset.dt",
        /**
         * Date Attribute: Year (Created)
         * Date Attribute ID: created.year
         */ Year: {
            ref: idRef("created.year", "attribute"),
            identifier: "created.year",
            /**
             * Display Form Title: Year (Created)
             * Display Form ID: created.aag81lMifn6q
             */ Default: newAttribute("created.aag81lMifn6q"),
        },
    },
};

Visualization Definition Placeholders

InsightView