Chilkat Online Tools

BatchDetectSentiment Swift3 Example

Amazon Comprehend

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 = "comprehend"
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.setAuthAws(authAws)

    // URL: https://comprehend.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.connect("comprehend.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.update("LanguageCode", value: "string")
    json.update("TextList[0]", value: "string")

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

    // {
    //   "LanguageCode": "string",
    //   "TextList": [
    //     "string"
    //   ]
    // }

    rest.addHeader("Content-Type", value: "application/x-amz-json-1.1")
    rest.addHeader("X-Amz-Target", value: "Comprehend_20171127.BatchDetectSentiment")

    let sbRequestBody = CkoStringBuilder()!
    json.emitSb(sbRequestBody)
    let sbResponseBody = CkoStringBuilder()!
    success = rest.fullRequestSb("POST", uriPath: "/", 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 ErrorCode: String?
    var ErrorMessage: String?
    var Index: Int
    var Sentiment: String?
    var Mixed: Int
    var Negative: Int
    var Neutral: Int
    var Positive: Int

    var i: Int = 0
    var count_i: Int = jResp.size(ofArray: "ErrorList").intValue
    while i < count_i {
        jResp.i = i
        ErrorCode = jResp.string(of: "ErrorList[i].ErrorCode")
        ErrorMessage = jResp.string(of: "ErrorList[i].ErrorMessage")
        Index = jResp.int(of: "ErrorList[i].Index").intValue
        i = i + 1
    }

    i = 0
    count_i = jResp.size(ofArray: "ResultList").intValue
    while i < count_i {
        jResp.i = i
        Index = jResp.int(of: "ResultList[i].Index").intValue
        Sentiment = jResp.string(of: "ResultList[i].Sentiment")
        Mixed = jResp.int(of: "ResultList[i].SentimentScore.Mixed").intValue
        Negative = jResp.int(of: "ResultList[i].SentimentScore.Negative").intValue
        Neutral = jResp.int(of: "ResultList[i].SentimentScore.Neutral").intValue
        Positive = jResp.int(of: "ResultList[i].SentimentScore.Positive").intValue
        i = i + 1
    }

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

    // {
    //   "ErrorList": [
    //     {
    //       "ErrorCode": "string",
    //       "ErrorMessage": "string",
    //       "Index": number
    //     }
    //   ],
    //   "ResultList": [
    //     {
    //       "Index": number,
    //       "Sentiment": "string",
    //       "SentimentScore": {
    //         "Mixed": number,
    //         "Negative": number,
    //         "Neutral": number,
    //         "Positive": number
    //       }
    //     }
    //   ]
    // }

}