Configure and Run Search UI

Configure Search UI

Next lets configure Search UI for our needs! Navigate to the config within app.js and update the following:

		const config = {
  searchQuery: {
    search_fields: {
      title: {
        weight: 3
      },
      plot: {},
      genre: {},
      actors: {},
      directors: {}
    },
    result_fields: {
      title: {
        snippet: {}
      },
      plot: {
        snippet: {}
      }
    },
    disjunctiveFacets: ["genre.keyword", "actors.keyword", "directors.keyword"],
    facets: {
      "genre.keyword": { type: "value" },
      "actors.keyword": { type: "value" },
      "directors.keyword": { type: "value" },
      released: {
        type: "range",
        ranges: [
          {
            from: "2012-04-07T14:40:04.821Z",
            name: "Within the last 10 years"
          },
          {
            from: "1962-04-07T14:40:04.821Z",
            to: "2012-04-07T14:40:04.821Z",
            name: "10 - 50 years ago"
          },
          {
            to: "1962-04-07T14:40:04.821Z",
            name: "More than 50 years ago"
          }
        ]
      },
      imdbRating: {
        type: "range",
        ranges: [
          { from: 1, to: 3, name: "Pants" },
          { from: 3, to: 6, name: "Mediocre" },
          { from: 6, to: 8, name: "Pretty Good" },
          { from: 8, to: 10, name: "Excellent" }
        ]
      }
    }
  },
  autocompleteQuery: {
    results: {
      resultsPerPage: 5,
      search_fields: {
        "title.suggest": {
          weight: 3
        }
      },
      result_fields: {
        title: {
          snippet: {
            size: 100,
            fallback: true
          }
        },
        url: {
          raw: {}
        }
      }
    },
    suggestions: {
      types: {
        results: { fields: ["movie_completion"] }
      },
      size: 4
    }
  },
  apiConnector: connector,
  alwaysSearchOnInitialLoad: true
};

	

In the above example, we configured the:

query fields to search on title, plot, genre, actors and directors using the text fields
result fields to display title, plot, genre, actors and directors using the text fields
facets to display genre, actors and directors using the keyword fields
we made the facets disjunctive for better user experience. The user can select more than one facet to expand their search.
autocomplete results to suggest results with the same query fields as main search + returning some fields for display.

For more information on configuration, visit the API configuration docs.

Updating Components

We are going to do several steps here:

update the <Searchbox /> component to configure autocomplete
remove sorting options
add a <Facet /> component for each facet field
update the <Results /> component to display all the fields

		<div className="App">
  <ErrorBoundary>
    <Layout
      header={
        <SearchBox
          autocompleteMinimumCharacters={3}
          autocompleteResults={{
            linkTarget: "_blank",
            sectionTitle: "Results",
            titleField: "title",
            urlField: "url",
            shouldTrackClickThrough: true
          }}
          autocompleteSuggestions={true}
          debounceLength={0}
        />
      }
      sideContent={
        <div>
          {wasSearched && <Sorting label={"Sort by"} sortOptions={[]} />}
          <Facet key={"1"} field={"genre.keyword"} label={"genre"} />
          <Facet key={"2"} field={"actors.keyword"} label={"actors"} />
          <Facet key={"3"} field={"directors.keyword"} label={"directors"} />
          <Facet key={"4"} field={"released"} label={"released"} />
          <Facet key={"5"} field={"imdbRating"} label={"imdb rating"} />
        </div>
      }
      bodyContent={<Results shouldTrackClickThrough={true} />}
      bodyHeader={
        <React.Fragment>
          {wasSearched && <PagingInfo />}
          {wasSearched && <ResultsPerPage />}
        </React.Fragment>
      }
      bodyFooter={<Paging />}
    />
  </ErrorBoundary>
</div>

	

Run

Lets run the project with the command:

yarn start

and then view the results in the browser at http://localhost:3000/

Summary

Lets recap of the steps we have covered:

we setup and configured the Elasticsearch index for our data
we indexed an example movie
we checked out the starter app and added the Elasticsearch connector
we configured the Elasticsearch connector to connect to our Elasticsearch index
we updated the Search UI configuration to specify the fields to be searchable, facetable
we updated the components to use these fields

Next you can add more data into the index, update the results view to display more fields, and deploy the app.