(Swift 2) SCIS Search

See more SCiS Schools Catalogue Examples

Demonstrates the SCIS (Schools Catalogue Information Service) search API call.

Chilkat Downloads for the Swift Programming Language MAC OS X (Cocoa) Objective-C/Swift Libs iOS Objective-C/Swift Libs

func chilkatTest() {
    // This example assumes the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    let http = CkoHttp()
    var success: Bool

    // Implements the following CURL command:

    // curl -i -X GET --url 'https://api.scisdata.com/catalogue/api/search?query=titleSearch%3Adogs%20AND%20publicationYear%3A2015&from=0&size=20&sort=author&order=asc' -H 'Authorization: Basic ****'

    // Use the following online tool to generate HTTP code from a CURL command
    // Convert a cURL Command to HTTP Source Code

    // This causes the "Authorization: Basic ****" to be added to each request.
    http.Login = "myLogin"
    http.Password = "myPassword"
    http.BasicAuth = true

    let sbQuery = CkoStringBuilder()
    sbQuery.Append("titleSearch:dogs AND publicationYear:2015")

    let sbUrl = CkoStringBuilder()
    sbUrl.Append("https://api.scisdata.com/catalogue/api/search?query=")
    // If non-usascii chars are included in the search, we don't know if utf-8 or windows-1252 is desired by the server.  You'll need to find out..
    sbUrl.Append(sbQuery.GetEncoded("url", charset: "utf-8"))
    sbUrl.Append("&from=0&size=20&sort=author&order=asc")

    let sbResponseBody = CkoStringBuilder()
    success = http.QuickGetSb(sbUrl.GetAsString(), sbContent: sbResponseBody)
    if success == false {
        print("\(http.LastErrorText)")
        return
    }

    let jResp = CkoJsonObject()
    jResp.LoadSb(sbResponseBody)
    jResp.EmitCompact = false

    print("Response Body:")
    print("\(jResp.Emit())")

    var respStatusCode: Int = http.LastStatus.intValue
    print("Response Status Code = \(respStatusCode)")
    if respStatusCode >= 400 {
        print("Response Header:")
        print("\(http.LastHeader)")
        print("Failed.")
        return
    }

    // Sample JSON response:
    // (Sample code for parsing the JSON response is shown below)

    // {
    //   "data": {
    //     "hits": {
    //       "hits": [
    //         {
    //           "_index": "scisdata2",
    //           "_type": "bibdatatype",
    //           "_source": {
    //             "isbn": [
    //               "9781517638160"
    //             ],
    //             "languageTermCode": [
    //               "eng"
    //             ],
    //             "mainAuthor": {
    //               "namePersonalPrimary": [
    //                 "Abbott, Eleanor Hallowell."
    //               ]
    //             },
    //             "title": {
    //               "titlePrimary": [
    //                 "Peace on Earth, good-will to dogs"
    //               ],
    //               "noteStmOfResponsibility": [
    //                 "by Eleanor Hallowell Abbott."
    //               ]
    //             },
    //             "scisType": [
    //               "Book"
    //             ],
    //             "dateIssuedMarc": 2015,
    //             "languageTermValue": [
    //               "English"
    //             ],
    //             "contributor": {},
    //             "isbn13": "9781517638160",
    //             "imageFileName": "9781517638160.jpg",
    //             "publicationDetails": "United States, Create Space Independent Publishing Platform, 2015",
    //             "isbn10": "151763816X",
    //             "id": "1867852"
    //           },
    //           "_id": "1867852",
    //           "sort": [
    //             "abbott, eleanor hallowell."
    //           ],
    //           "_score": null
    //         },
    //         {
    //           "_index": "scisdata2",
    //           "_type": "bibdatatype",
    //           "_source": {
    //             "isbn": [
    //               "9781780747910"
    //             ],
    //             "languageTermCode": [
    //               "eng"
    //             ],
    //             "mainAuthor": {
    //               "namePersonalPrimary": [
    //                 "Adams, Richard."
    //               ]
    //             },
    //             "title": {
    //               "titlePrimary": [
    //                 "The plague dogs"
    //               ],
    //               "noteStmOfResponsibility": [
    //                 "Richard Adams."
    //               ]
    //             },
    //             "scisType": [
    //               "Book"
    //             ],
    //             "dateIssuedMarc": 2015,
    //             "languageTermValue": [
    //               "English"
    //             ],
    //             "contributor": {},
    //             "isbn13": "9781780747910",
    //             "imageFileName": "9781780747910.jpg",
    //             "publicationDetails": "New York, Rock the Boat, 2015",
    //             "isbn10": "1780747918",
    //             "id": "1749228"
    //           },
    //           "_id": "1749228",
    //           "sort": [
    //             "adams, richard."
    //           ],
    //           "_score": null
    //         },
    //          ...
    //       ],
    //       "total": 84,
    //       "max_score": null
    //     },
    //     "took": 585,
    //     "timed_out": false
    //   },
    //   "subscriptionStatus": {}
    // }

    // Sample code for parsing the JSON response...
    // Use the following online tool to generate parsing code from sample JSON:
    // Generate Parsing Code from JSON

    var v_index: String?
    var v_type: String?
    var v_sourceDateIssuedMarc: Int
    var v_sourceIsbn13: String?
    var v_sourceImageFileName: String?
    var v_sourcePublicationDetails: String?
    var v_sourceIsbn10: String?
    var v_sourceId: String?
    var v_id: String?
    var v_score: String?
    var j: Int
    var count_j: Int
    var strVal: String?

    var dataHitsTotal: Int = jResp.IntOf("data.hits.total").intValue
    var dataHitsMax_score: String? = jResp.StringOf("data.hits.max_score")
    var dataTook: Int = jResp.IntOf("data.took").intValue
    var dataTimed_out: Bool = jResp.BoolOf("data.timed_out")
    var i: Int = 0
    var count_i: Int = jResp.SizeOfArray("data.hits.hits").intValue
    while i < count_i {
        jResp.I = i
        v_index = jResp.StringOf("data.hits.hits[i]._index")
        v_type = jResp.StringOf("data.hits.hits[i]._type")
        v_sourceDateIssuedMarc = jResp.IntOf("data.hits.hits[i]._source.dateIssuedMarc").intValue
        v_sourceIsbn13 = jResp.StringOf("data.hits.hits[i]._source.isbn13")
        v_sourceImageFileName = jResp.StringOf("data.hits.hits[i]._source.imageFileName")
        v_sourcePublicationDetails = jResp.StringOf("data.hits.hits[i]._source.publicationDetails")
        v_sourceIsbn10 = jResp.StringOf("data.hits.hits[i]._source.isbn10")
        v_sourceId = jResp.StringOf("data.hits.hits[i]._source.id")
        v_id = jResp.StringOf("data.hits.hits[i]._id")
        v_score = jResp.StringOf("data.hits.hits[i]._score")
        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.isbn").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.isbn[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.languageTermCode").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.languageTermCode[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.mainAuthor.namePersonalPrimary").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.mainAuthor.namePersonalPrimary[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.title.titlePrimary").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.title.titlePrimary[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.title.noteStmOfResponsibility").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.title.noteStmOfResponsibility[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.scisType").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.scisType[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.languageTermValue").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.languageTermValue[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i].sort").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i].sort[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.contributor.namePersonalOther").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.contributor.namePersonalOther[j]")
            j = j + 1
        }

        j = 0
        count_j = jResp.SizeOfArray("data.hits.hits[i]._source.contributor.nameCorporateOther").intValue
        while j < count_j {
            jResp.J = j
            strVal = jResp.StringOf("data.hits.hits[i]._source.contributor.nameCorporateOther[j]")
            j = j + 1
        }

        i = i + 1
    }


}