Chilkat Online Tools

QueryAssistant Swift3 Example

Amazon Wisdom

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

    let rest = CkoRest()!
    var success: Bool

    let authAws = CkoAuthAws()!
    authAws.accessKey = "AWS_ACCESS_KEY"
    authAws.secretKey = "AWS_SECRET_KEY"

    // Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
    authAws.region = "us-west-2"
    authAws.serviceName = "wisdom"
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.setAuthAws(authAws)

    // URL: https://wisdom.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.connect("wisdom.us-west-2.amazonaws.com", port: 443, tls: true, autoReconnect: true)
    if success != true {
        print("ConnectFailReason: \(rest.connectFailReason.intValue)")
        print("\(rest.lastErrorText!)")
        return
    }

    // The following code creates the JSON request body.
    // The JSON created by this code is shown below.

    // Use this online tool to generate code from sample JSON:
    // Generate Code to Create JSON

    let json = CkoJsonObject()!
    json.updateInt("maxResults", value: 123)
    json.update("nextToken", value: "string")
    json.update("queryText", value: "string")

    // The JSON request body created by the above code:

    // {
    //   "maxResults": number,
    //   "nextToken": "string",
    //   "queryText": "string"
    // }

    rest.addHeader("Content-Type", value: "application/x-amz-json-1.1")
    rest.addHeader("X-Amz-Target", value: "QueryAssistant")

    let sbRequestBody = CkoStringBuilder()!
    json.emitSb(sbRequestBody)
    let sbResponseBody = CkoStringBuilder()!
    success = rest.fullRequestSb("POST", uriPath: "/assistants/{assistantId}/query", requestBody: sbRequestBody, responseBody: sbResponseBody)
    if success != true {
        print("\(rest.lastErrorText!)")
        return
    }

    var respStatusCode: Int = rest.responseStatusCode.intValue
    print("response status code = \(respStatusCode)")
    if respStatusCode != 200 {
        print("Response Header:")
        print("\(rest.responseHeader!)")
        print("Response Body:")
        print("\(sbResponseBody.getAsString()!)")
        return
    }

    let jResp = CkoJsonObject()!
    jResp.loadSb(sbResponseBody)

    // The following code parses the JSON response.
    // A sample JSON response is shown below the sample code.

    // Use this online tool to generate parsing code from sample JSON:
    // Generate Parsing Code from JSON

    var ContentArn: String?
    var ContentId: String?
    var KnowledgeBaseArn: String?
    var KnowledgeBaseId: String?
    var Text: String?
    var TitleText: String?
    var relevanceScore: Int
    var resultId: String?
    var j: Int
    var count_j: Int
    var beginOffsetInclusive: Int
    var endOffsetExclusive: Int

    var nextToken: String? = jResp.string(of: "nextToken")
    var i: Int = 0
    var count_i: Int = jResp.size(ofArray: "results").intValue
    while i < count_i {
        jResp.i = i
        ContentArn = jResp.string(of: "results[i].document.contentReference.contentArn")
        ContentId = jResp.string(of: "results[i].document.contentReference.contentId")
        KnowledgeBaseArn = jResp.string(of: "results[i].document.contentReference.knowledgeBaseArn")
        KnowledgeBaseId = jResp.string(of: "results[i].document.contentReference.knowledgeBaseId")
        Text = jResp.string(of: "results[i].document.excerpt.text")
        TitleText = jResp.string(of: "results[i].document.title.text")
        relevanceScore = jResp.int(of: "results[i].relevanceScore").intValue
        resultId = jResp.string(of: "results[i].resultId")
        j = 0
        count_j = jResp.size(ofArray: "results[i].document.excerpt.highlights").intValue
        while j < count_j {
            jResp.j = j
            beginOffsetInclusive = jResp.int(of: "results[i].document.excerpt.highlights[j].beginOffsetInclusive").intValue
            endOffsetExclusive = jResp.int(of: "results[i].document.excerpt.highlights[j].endOffsetExclusive").intValue
            j = j + 1
        }

        j = 0
        count_j = jResp.size(ofArray: "results[i].document.title.highlights").intValue
        while j < count_j {
            jResp.j = j
            beginOffsetInclusive = jResp.int(of: "results[i].document.title.highlights[j].beginOffsetInclusive").intValue
            endOffsetExclusive = jResp.int(of: "results[i].document.title.highlights[j].endOffsetExclusive").intValue
            j = j + 1
        }

        i = i + 1
    }

    // A sample JSON response body parsed by the above code:

    // {
    //   "nextToken": "string",
    //   "results": [
    //     {
    //       "document": {
    //         "contentReference": {
    //           "contentArn": "string",
    //           "contentId": "string",
    //           "knowledgeBaseArn": "string",
    //           "knowledgeBaseId": "string"
    //         },
    //         "excerpt": {
    //           "highlights": [
    //             {
    //               "beginOffsetInclusive": number,
    //               "endOffsetExclusive": number
    //             }
    //           ],
    //           "text": "string"
    //         },
    //         "title": {
    //           "highlights": [
    //             {
    //               "beginOffsetInclusive": number,
    //               "endOffsetExclusive": number
    //             }
    //           ],
    //           "text": "string"
    //         }
    //       },
    //       "relevanceScore": number,
    //       "resultId": "string"
    //     }
    //   ]
    // }

}