Learning opportunities index

Learning opportunities, services or courses are the basic entity for learning.

Creating index

To create an index PUT to https://search.eduplex.eu/example being example the index name. You can add the mapping fields in the body.

See an example here: https://gitlab.com/eduplex-api/opensearch/-/blob/main/files/index_mapping.json

Retrieving entries from index

To search on the index you can do a GET to https://search.eduplex.eu/example/_search being example the index name and with a body like this it will return all documents from the index.

{
  "query": {
    "match_all": {}
  }
}

We also have a proxy on our API to build more complex queries allowing to filter, return facets or rank results. Our endpoint allows the following parameters:

• page: pagination number.

• limit: number of documents per page.

• text: text to search.

• sort_by: it allows to sort by the following fields:

  • title

  • total_price

  • ratings

  • next_course

• order: it changes the sorting criteria (asc or desc)

and the following filters:

• facets: an object with different facets to filter. E.g.{ type: 'online', city: 'Viena' }.

• tag: returns only events associated to a specific tag.

• category: returns only events associated to a specific category.

• seller_id: filters by the provider of the learning opportunities.

• is_internal: returns only internal events.

• has_exclusive_tag: if false returns only events without exclusive tags.

• exclusive_tags: if previous filter is set to false, also returns events with the specified tags.

Example of a builded query:

• track_scores: it forces to calculate the score of the documents.

• functions: it allows to customize documents ranking scores.

• score_mode: how to calculate the result from all the functions.

• boost_mode: how to apply the score_mode to the document score.

• aggs: facets to be returned.

GET example_index/_search
{
  "from": 0,
  "size": 10,
  "track_scores": true,
  "query": {
    "function_score": {
      "score_mode": "sum",
      "boost_mode": "multiply", 
      "query": {
        "bool": {
          "must": [
            {
              "multi_match": {
                "query": "",
                "fields": [
                  "title^2",
                  "highlight",
                  "tags.display_name",
                  "categories.display_name",
                  "module_titles"
                ],
                "fuzziness": "AUTO",
                "zero_terms_query": "all"
              }
            }
          ]
        }
      },
      "functions": [
        {
          "filter": {
            "term": {
              "provider_is_verified": true
            }
          },
          "weight": 1.2
        },
        {
          "filter": {
            "term": {
              "provider_is_topseller": true
            }
          },
          "weight": 1.2
        },
        {
          "filter": {
            "term": {
              "is_bookable": true
            }
          },
          "weight": 7
        },
        {
          "filter": {
            "term": {
              "has_boost": true
            }
          },
          "weight": 7
        },
        {
          "field_value_factor": {
            "field": "rating_rounded",
            "factor": 0.01,
            "missing": 250
          }
        }
      ]
    }
  },
  "aggs": {
    "tags.display_name": {
      "terms": {
        "field": "tags.display_name.keyword",
        "size": 100
      }
    },
    "language": {
      "terms": {
        "field": "language.keyword",
        "size": 10
      }
    },
    "categories.category": {
      "terms": {
        "field": "categories.category.keyword",
        "size": 100
      }
    },
    "provider.name": {
      "terms": {
        "field": "provider.name.keyword",
        "size": 100
      }
    }
  }
}