60 lines
1.9 KiB
C#
60 lines
1.9 KiB
C#
using BotSharp.Core.Engines;
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using BotSharp.Core.Models;
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using Microsoft.AspNetCore.Authorization;
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using Microsoft.AspNetCore.Mvc;
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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namespace BotSharp.RestApi.Dialogflow
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{
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#if MODE_DIALOGFLOW
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/// <summary>
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/// Dialogflow mode query controller
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/// </summary>
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[Authorize]
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[Route("v1/[controller]")]
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public class QueryController : ControllerBase
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{
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private readonly IBotPlatform _platform;
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/// <summary>
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/// Initialize dialog controller and get a platform instance
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/// </summary>
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/// <param name="platform"></param>
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public QueryController(IBotPlatform platform)
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{
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_platform = platform;
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}
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/// <summary>
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/// The query endpoint is used to process natural language in the form of text.
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/// The query requests return structured data in JSON format with an action and parameters for that action.
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/// Both GET and POST methods return the same JSON response.
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/// </summary>
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/// <param name="request"></param>
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/// <returns></returns>
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[HttpGet, HttpPost]
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public ActionResult<AIResponse> Query(QueryModel request)
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{
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String clientAccessToken = Request.Headers["ClientAccessToken"];
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var config = new AIConfiguration(clientAccessToken, SupportedLanguage.English);
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config.SessionId = request.SessionId;
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_platform.LoadAgent(clientAccessToken);
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var aIResponse = _platform.TextRequest(new AIRequest
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{
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Timezone = request.Timezone,
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Contexts = request?.Contexts?.Select(x => new AIContext { Name = x })?.ToList(),
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Language = request.Lang,
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Query = new String[] { request.Query }
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});
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return aIResponse;
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}
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}
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#endif
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}
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