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ToneAnalyzerService.cs
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/**
* Copyright 2018, 2019 IBM Corp. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
using System.Collections.Generic;
using System.Text;
using IBM.Cloud.SDK;
using IBM.Cloud.SDK.Connection;
using IBM.Cloud.SDK.Utilities;
using IBM.Watson.ToneAnalyzer.V3.Model;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using System;
using UnityEngine.Networking;
namespace IBM.Watson.ToneAnalyzer.V3
{
public partial class ToneAnalyzerService : BaseService
{
private const string serviceId = "tone_analyzer";
private const string defaultUrl = "https://gateway.watsonplatform.net/tone-analyzer/api";
#region Credentials
/// <summary>
/// Gets and sets the credentials of the service. Replace the default endpoint if endpoint is defined.
/// </summary>
public Credentials Credentials
{
get { return credentials; }
set
{
credentials = value;
if (!string.IsNullOrEmpty(credentials.Url))
{
Url = credentials.Url;
}
}
}
#endregion
#region Url
/// <summary>
/// Gets and sets the endpoint URL for the service.
/// </summary>
public string Url
{
get { return url; }
set { url = value; }
}
#endregion
#region VersionDate
private string versionDate;
/// <summary>
/// Gets and sets the versionDate of the service.
/// </summary>
public string VersionDate
{
get { return versionDate; }
set { versionDate = value; }
}
#endregion
#region DisableSslVerification
private bool disableSslVerification = false;
/// <summary>
/// Gets and sets the option to disable ssl verification
/// </summary>
public bool DisableSslVerification
{
get { return disableSslVerification; }
set { disableSslVerification = value; }
}
#endregion
/// <summary>
/// ToneAnalyzerService constructor.
/// </summary>
/// <param name="versionDate">The service version date in `yyyy-mm-dd` format.</param>
public ToneAnalyzerService(string versionDate) : base(versionDate, serviceId)
{
VersionDate = versionDate;
}
/// <summary>
/// ToneAnalyzerService constructor.
/// </summary>
/// <param name="versionDate">The service version date in `yyyy-mm-dd` format.</param>
/// <param name="credentials">The service credentials.</param>
public ToneAnalyzerService(string versionDate, Credentials credentials) : base(versionDate, credentials, serviceId)
{
if (string.IsNullOrEmpty(versionDate))
{
throw new ArgumentNullException("A versionDate (format `yyyy-mm-dd`) is required to create an instance of ToneAnalyzerService");
}
else
{
VersionDate = versionDate;
}
if (credentials.HasCredentials() || credentials.HasTokenData())
{
Credentials = credentials;
if (string.IsNullOrEmpty(credentials.Url))
{
credentials.Url = defaultUrl;
}
}
else
{
throw new IBMException("Please provide a username and password or authorization token to use the ToneAnalyzer service. For more information, see https://github.com/watson-developer-cloud/unity-sdk/#configuring-your-service-credentials");
}
}
/// <summary>
/// Analyze general tone.
///
/// Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content
/// for emotional and language tones. The method always analyzes the tone of the full document; by default, it
/// also analyzes the tone of each individual sentence of the content.
///
/// You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in
/// JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis
/// and only the first 100 sentences for sentence-level analysis.
///
/// Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per
/// the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII
/// character set). When specifying a content type of plain text or HTML, include the `charset` parameter to
/// indicate the character encoding of the input text; for example: `Content-Type: text/plain;charset=utf-8`.
/// For `text/html`, the service removes HTML tags and analyzes only the textual content.
///
/// **See also:** [Using the general-purpose
/// endpoint](https://cloud.ibm.com/docs/services/tone-analyzer?topic=tone-analyzer-utgpe#utgpe).
/// </summary>
/// <param name="callback">The callback function that is invoked when the operation completes.</param>
/// <param name="toneInput">JSON, plain text, or HTML input that contains the content to be analyzed. For JSON
/// input, provide an object of type `ToneInput`.</param>
/// <param name="sentences">Indicates whether the service is to return an analysis of each individual sentence
/// in addition to its analysis of the full document. If `true` (the default), the service returns results for
/// each sentence. (optional, default to true)</param>
/// <param name="tones">**`2017-09-21`:** Deprecated. The service continues to accept the parameter for
/// backward-compatibility, but the parameter no longer affects the response.
///
/// **`2016-05-19`:** A comma-separated list of tones for which the service is to return its analysis of the
/// input; the indicated tones apply both to the full document and to individual sentences of the document. You
/// can specify one or more of the valid values. Omit the parameter to request results for all three tones.
/// (optional)</param>
/// <param name="contentLanguage">The language of the input text for the request: English or French. Regional
/// variants are treated as their parent language; for example, `en-US` is interpreted as `en`. The input
/// content must match the specified language. Do not submit content that contains both languages. You can use
/// different languages for **Content-Language** and **Accept-Language**.
/// * **`2017-09-21`:** Accepts `en` or `fr`.
/// * **`2016-05-19`:** Accepts only `en`. (optional, default to en)</param>
/// <param name="acceptLanguage">The desired language of the response. For two-character arguments, regional
/// variants are treated as their parent language; for example, `en-US` is interpreted as `en`. You can use
/// different languages for **Content-Language** and **Accept-Language**. (optional, default to en)</param>
/// <param name="contentType">The type of the input. A character encoding can be specified by including a
/// `charset` parameter. For example, 'text/plain;charset=utf-8'. (optional)</param>
/// <returns><see cref="ToneAnalysis" />ToneAnalysis</returns>
public bool Tone(Callback<ToneAnalysis> callback, ToneInput toneInput, bool? sentences = null, List<string> tones = null, string contentLanguage = null, string acceptLanguage = null, string contentType = null)
{
if (callback == null)
throw new ArgumentNullException("`callback` is required for `Tone`");
if (toneInput == null)
throw new ArgumentNullException("`toneInput` is required for `Tone`");
RequestObject<ToneAnalysis> req = new RequestObject<ToneAnalysis>
{
Callback = callback,
HttpMethod = UnityWebRequest.kHttpVerbPOST,
DisableSslVerification = DisableSslVerification
};
foreach (KeyValuePair<string, string> kvp in customRequestHeaders)
{
req.Headers.Add(kvp.Key, kvp.Value);
}
ClearCustomRequestHeaders();
foreach (KeyValuePair<string, string> kvp in Common.GetSdkHeaders("tone_analyzer", "V3", "Tone"))
{
req.Headers.Add(kvp.Key, kvp.Value);
}
req.Parameters["version"] = VersionDate;
if (sentences != null)
{
req.Parameters["sentences"] = (bool)sentences ? "true" : "false";
}
if (tones != null && tones.Count > 0)
{
req.Parameters["tones"] = string.Join(",", tones.ToArray());
}
req.Headers["Accept"] = "application/json";
if (!string.IsNullOrEmpty(contentLanguage))
{
req.Headers["Content-Language"] = contentLanguage;
}
if (!string.IsNullOrEmpty(acceptLanguage))
{
req.Headers["Accept-Language"] = acceptLanguage;
}
if (!string.IsNullOrEmpty(contentType))
{
req.Headers["Content-Type"] = contentType;
}
req.Send = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(toneInput));
req.OnResponse = OnToneResponse;
RESTConnector connector = RESTConnector.GetConnector(Credentials, "/v3/tone");
if (connector == null)
{
return false;
}
return connector.Send(req);
}
private void OnToneResponse(RESTConnector.Request req, RESTConnector.Response resp)
{
DetailedResponse<ToneAnalysis> response = new DetailedResponse<ToneAnalysis>();
foreach (KeyValuePair<string, string> kvp in resp.Headers)
{
response.Headers.Add(kvp.Key, kvp.Value);
}
response.StatusCode = resp.HttpResponseCode;
try
{
string json = Encoding.UTF8.GetString(resp.Data);
response.Result = JsonConvert.DeserializeObject<ToneAnalysis>(json);
response.Response = json;
}
catch (Exception e)
{
Log.Error("ToneAnalyzerService.OnToneResponse()", "Exception: {0}", e.ToString());
resp.Success = false;
}
if (((RequestObject<ToneAnalysis>)req).Callback != null)
((RequestObject<ToneAnalysis>)req).Callback(response, resp.Error);
}
/// <summary>
/// Analyze customer-engagement tone.
///
/// Use the customer-engagement endpoint to analyze the tone of customer service and customer support
/// conversations. For each utterance of a conversation, the method reports the most prevalent subset of the
/// following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.
///
/// If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes
/// only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the
/// service returns an error for that utterance and does not analyze the utterance. The request fails if all
/// utterances have more than 500 characters. Per the JSON specification, the default character encoding for
/// JSON content is effectively always UTF-8.
///
/// **See also:** [Using the customer-engagement
/// endpoint](https://cloud.ibm.com/docs/services/tone-analyzer?topic=tone-analyzer-utco#utco).
/// </summary>
/// <param name="callback">The callback function that is invoked when the operation completes.</param>
/// <param name="utterances">An array of `Utterance` objects that provides the input content that the service is
/// to analyze.</param>
/// <param name="contentLanguage">The language of the input text for the request: English or French. Regional
/// variants are treated as their parent language; for example, `en-US` is interpreted as `en`. The input
/// content must match the specified language. Do not submit content that contains both languages. You can use
/// different languages for **Content-Language** and **Accept-Language**.
/// * **`2017-09-21`:** Accepts `en` or `fr`.
/// * **`2016-05-19`:** Accepts only `en`. (optional, default to en)</param>
/// <param name="acceptLanguage">The desired language of the response. For two-character arguments, regional
/// variants are treated as their parent language; for example, `en-US` is interpreted as `en`. You can use
/// different languages for **Content-Language** and **Accept-Language**. (optional, default to en)</param>
/// <returns><see cref="UtteranceAnalyses" />UtteranceAnalyses</returns>
public bool ToneChat(Callback<UtteranceAnalyses> callback, List<Utterance> utterances, string contentLanguage = null, string acceptLanguage = null)
{
if (callback == null)
throw new ArgumentNullException("`callback` is required for `ToneChat`");
if (utterances == null)
throw new ArgumentNullException("`utterances` is required for `ToneChat`");
RequestObject<UtteranceAnalyses> req = new RequestObject<UtteranceAnalyses>
{
Callback = callback,
HttpMethod = UnityWebRequest.kHttpVerbPOST,
DisableSslVerification = DisableSslVerification
};
foreach (KeyValuePair<string, string> kvp in customRequestHeaders)
{
req.Headers.Add(kvp.Key, kvp.Value);
}
ClearCustomRequestHeaders();
foreach (KeyValuePair<string, string> kvp in Common.GetSdkHeaders("tone_analyzer", "V3", "ToneChat"))
{
req.Headers.Add(kvp.Key, kvp.Value);
}
req.Parameters["version"] = VersionDate;
req.Headers["Content-Type"] = "application/json";
req.Headers["Accept"] = "application/json";
if (!string.IsNullOrEmpty(contentLanguage))
{
req.Headers["Content-Language"] = contentLanguage;
}
if (!string.IsNullOrEmpty(acceptLanguage))
{
req.Headers["Accept-Language"] = acceptLanguage;
}
JObject bodyObject = new JObject();
if (utterances != null && utterances.Count > 0)
bodyObject["utterances"] = JToken.FromObject(utterances);
req.Send = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(bodyObject));
req.OnResponse = OnToneChatResponse;
RESTConnector connector = RESTConnector.GetConnector(Credentials, "/v3/tone_chat");
if (connector == null)
{
return false;
}
return connector.Send(req);
}
private void OnToneChatResponse(RESTConnector.Request req, RESTConnector.Response resp)
{
DetailedResponse<UtteranceAnalyses> response = new DetailedResponse<UtteranceAnalyses>();
foreach (KeyValuePair<string, string> kvp in resp.Headers)
{
response.Headers.Add(kvp.Key, kvp.Value);
}
response.StatusCode = resp.HttpResponseCode;
try
{
string json = Encoding.UTF8.GetString(resp.Data);
response.Result = JsonConvert.DeserializeObject<UtteranceAnalyses>(json);
response.Response = json;
}
catch (Exception e)
{
Log.Error("ToneAnalyzerService.OnToneChatResponse()", "Exception: {0}", e.ToString());
resp.Success = false;
}
if (((RequestObject<UtteranceAnalyses>)req).Callback != null)
((RequestObject<UtteranceAnalyses>)req).Callback(response, resp.Error);
}
}
}