Extend GetCollectionItems use case: add show_relevance

In the Collections page, when a term is entered in the search bar, the collection items should show snippets with the search term highlighted. To do this, we need to update GetCollectionItems to call the Dataverse search api with show_relevance=true.

For example, when searching for 'King' in Dataverse, the snippets of metadata that contain king are shown, and for the description field, 'King' is highlighted.
In the JSF, we are only highlighting the search term in the description, but using the API we could also highlight the term in other metadata.

The API for this example:
https://dataverse.harvard.edu/api/v1/search?show_relevance=true&q=king&show_facets=true&sort=score&order=desc&subtree=harvard&per_page=10&type=dataverse&type=dataset&type=file

In the response, the matches array contains the snippets to be displayed:

{
  "status": "OK",
  "data": {
    "q": "king",
    "total_count": 3019,
    "start": 0,
    "spelling_alternatives": {

    },
    "items": [
      {
        "name": "Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response",
        "type": "dataset",
        "url": "https://doi.org/10.7910/DVN/VL7QMO",
        "image_url": "https://dataverse.harvard.edu/api/datasets/53129/logo",
        "global_id": "doi:10.7910/DVN/VL7QMO",
        "description": "A response to Sambanis and Michaelides, \"A Comment on Diagnostic Tools for Counterfactual Inference\", which was a comment on: Gary King and Langche Zeng. 2006. \" The Dangers of Extreme Counterfactuals,\" Political Analysis, 14, 2, Pp. 131-159. In response to the data-based measures of model dependence proposed in King and Zeng (2006), Sambanis and Michaelides (2008) propose alternative measures that rely upon assumptions untestable in observational data. If these assumptions are correct, then their measures are appropriate and ours, based solely on the empirical data, may be too conser vative. If instead and as is usually the case, the researcher is not certain of the precise functional form of the data generating process, the distribution from whic h the data are drawn, and the applicability of these modeling assumptions to new counterfactuals, then the data-based measures proposed in King and Zeng (2006) are much preferred. After all, the point of model dependence checks is to verify empirically, rather than to stipulate by assumption, the effects of modeling assumptions on counterfactual inferences.",
        "published_at": "2014-08-07T00:00:00Z",
        "publisher": "Gary King Dataverse",
        "citationHtml": "King, Gary; Zeng, Langche, 2009, \"Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response\", \u003Ca href=\"https://doi.org/10.7910/DVN/VL7QMO\" target=\"_blank\"\u003Ehttps://doi.org/10.7910/DVN/VL7QMO\u003C/a\u003E, Harvard Dataverse, V5",
        "identifier_of_dataverse": "king",
        "name_of_dataverse": "Gary King Dataverse",
        "citation": "King, Gary; Zeng, Langche, 2009, \"Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response\", https://doi.org/10.7910/DVN/VL7QMO, Harvard Dataverse, V5",
        "matches": [
          {
            "dsDescriptionValue": {
              "snippets": [
                "A response to Sambanis and Michaelides, \"A Comment on Diagnostic Tools for Counterfactual Inference\", which was a comment on: Gary \u003Cspan class=\"search-term-match\"\u003EKing\u003C/span\u003E and Langche Zeng. 2006. \" The Dangers of Extreme Counterfactuals,\" Political Analysis, 14, 2, Pp. 131-159. In response to the data-based measures of model dependence proposed in \u003Cspan class=\"search-term-match\"\u003EKing\u003C/span\u003E and Zeng (2006), Sambanis and Michaelides (2008) propose alternative measures that rely upon assumptions untestable in observational data. "
              ]
            }
          },
          {
            "publicationCitation": {
              "snippets": [
                "\u003Cspan class=\"search-term-match\"\u003EKing\u003C/span\u003E, Gary, and Langche Zeng. 2009. Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response. Political Analysis 17: 107-112: Link to article"
              ]
            }
          },
          {
            "authorName": {
              "snippets": [
                "\u003Cspan class=\"search-term-match\"\u003EKing\u003C/span\u003E, Gary"
              ]
            }
          }
        ],
        "score": 7039.38525390625,
        "publicationStatuses": [
          "Published"
        ],
        "storageIdentifier": "s3://1902.1/11903",
        "subjects": [
          ""
        ],
        "fileCount": 13,
        "versionId": 428465,
        "versionState": "RELEASED",
        "majorVersion": 5,
        "minorVersion": 2,
        "createdAt": "2008-09-06T16:35:54Z",
        "updatedAt": "2024-09-20T15:10:46Z",
        "contacts": [
          {
            "name": "",
            "affiliation": ""
          }
        ],
        "publications": [
          {
            "citation": "King, Gary, and Langche Zeng. 2009. Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response. Political Analysis 17: 107-112: \u003Ca href=\"http://j.mp/pr0WRJ\" target=\"_blank\" rel=\"nofollow\"\u003ELink to article\u003C/a\u003E"
          }
        ],
        "authors": [
          "King, Gary",
          "Zeng, Langche"
        ]
      },

Beginne beim Use Case GetCollectionItems und verfolge, wie die Collections-Seite ihre Dataverse-Suchanfrage erstellt und Ergebnisse rendert. Überprüfe, dass die Anfrage show_relevance=true enthält, wenn ein Suchbegriff eingegeben wurde, und bestätige anschließend, dass Snippets aus dem matches-Array der Antwort mit hervorgehobenen Begriffen in Metadatenfeldern angezeigt werden.