This blog series follows the journey of building the new and improved Interactive Google Ads Query Builder . Part 2 of this series described the design of the detailed JSON resource schema that will serve as the canonical data set for the Interactive Query Builder Angular application. Part 3 will focus on how we can use the GoogleAdsFieldServiceRetrieving the data We can retrieve most of the data for the schema described in Part 2 by making an API call to the GoogleAdsFieldServiceSELECT name, category, data_type, selectable, filterable, sortable, selectable_with, metrics, segments, is_repeated, type_url, enum_values, attribute_resourcesSELECT clause above. For example, the ad_group list item would look like this:
{
ad_group entry would look like this:
{
Part 2 , this restructured object is missing several fields, which we’ll add in the following sections: attributes, fields, description, and display name.Attributes If you recall from the schema design, each resource should contain an array named attributes which contains the names of all fields present on the resource itself and any attributed resources . We can create this array by iterating through the results of our GoogleAdsFieldServiceFields The fields entry in our schema is an object with an entry for each (a) item in the attributes array we just created, (b) metric on the resource, and (c) segment on the resource. The value of each entry will be each respective field’s value in the object we created earlier. However, we still need to add an incompatible_fields array to each field.incompatible_fields array for each entry in our fields object, we’ll check to see if each of the fields, metrics, and segments present on the top level object is selectable_with the given field being evaluated. If not, we’ll add that field, metric, or segment to the incompatible_fields array.Descriptions Next, we need to add descriptions to each top level resource and item in its fields entry. It is important to note that a field may have a different description depending on the top level resource. For example, the description of ad_group.id is “Output only. The ID of the ad group.” but the description of campaign.id is “Output only. The ID of the campaign.” The REST discovery docs contain nested descriptions that we can use to create a canonical descriptions object, which we’ll use to populate our schema. This step entails parsing and formatting, the details of which we will not discuss here. We just want you to know that the REST discovery docs exist in case you ever need them. This is currently the best solution available, although it would be easier if the descriptions were returned from the GoogleAdsFieldServiceDisplay names All that is left to do is populate the display names field in our resource schema. We can do this by simply replacing underscores with spaces and capitalizing the first letter of each word in the name.Filtering for resources Our resource schema is now fully populated. However, it contains every resource, field, segment, and metric returned from our GoogleAdsFieldService query. We can filter this schema to include only items with a category of RESOURCE.Conclusion We have now created an expanded resource schema containing detailed field information and a list of incompatible fields for each field, which we can use in our Angular application. In this post, we’ve covered:How to use the GoogleAdsFieldService to retrieve field metadata. Field compatibility in GAQL. The REST discovery API. Hopefully this has deepened your understanding of what is possible with the Google Ads API. If you have any questions or need additional help, contact us via the
forum or at googleadsapi-support@google.com.
