71 lines
2.3 KiB
C#
71 lines
2.3 KiB
C#
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using Microsoft.AspNetCore.Authorization;
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using Microsoft.AspNetCore.Mvc;
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using BotSharp.Platform.Dialogflow.Models;
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using BotSharp.Platform.Dialogflow.ViewModels;
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Security.Claims;
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using System.Text;
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using BotSharp.Platform.Models.AiRequest;
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using System.Threading.Tasks;
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namespace BotSharp.Platform.Dialogflow.Controllers
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{
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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 DialogflowAi<AgentModel> builder;
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public QueryController(DialogflowAi<AgentModel> platform)
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{
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builder = 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 async Task<ActionResult<AIResponse>> Query(QueryModel request)
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{
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String clientAccessToken = (User.Identity as ClaimsIdentity).Claims.FirstOrDefault(x => x.Type == "UserId")?.Value;
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// find a model according to clientAccessToken
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var agents = await builder.GetAllAgents();
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var agent = agents.FirstOrDefault(x => x.ClientAccessToken == clientAccessToken);
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if(agent == null)
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{
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return BadRequest("The agent not found.");
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}
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var aIResponse = await builder.TextRequest<AIResponseResult>(new AiRequest
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{
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Text = request.Query,
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AgentId = agent.Id,
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SessionId = request.SessionId
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});
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return new AIResponse
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{
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Result = aIResponse,
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Id = Guid.NewGuid().ToString(),
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Lang = request.Lang,
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SessionId = request.SessionId,
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Status = new AIResponseStatus(),
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Timestamp = DateTime.UtcNow
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};
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}
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}
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}
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