190 lines
5.0 KiB
C#
190 lines
5.0 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Threading;
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using System.Threading.Tasks;
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using Microsoft.Extensions.Logging;
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using OllamaSharp;
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using OllamaSharp.Models;
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using xAiApi.Configurations;
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using xAiApi.Constants;
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using xAiApi.Extensions;
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using xAiApi.Interfaces;
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using xAiApi.Models;
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using xAiModels.Interfaces;
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using xAiService.Helpers;
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using xCommons.Extensions;
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using xExceptions.Constants;
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namespace xAiApi.Providers
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{
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/// <summary>
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/// Base Embedding Provider Service ...
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/// </summary>
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public abstract class XAiEmbeddingServiceBase : XAIServiceBase, IXAiEmbeddingServiceBase
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{
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private readonly XAiModelDescriptor descriptor;
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protected XAiEmbeddingServiceBase(
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IXAiDataProvider dataProvider,
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XAiApiConfiguration configuration,
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ILogger<XAiEmbeddingServiceBase> logger,
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string embeddingModelName = XAiApiConstants.XAiEmbeddingModelName
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) : base(
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dataProvider,
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logger,
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configuration
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)
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{
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//
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// Prepare Embedding Model Descriptor ...
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descriptor = configuration.GetModel(embeddingModelName);
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if (!descriptor.IsValid())
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{
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XException.InvalidConfiguration.Throw();
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}
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}
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/// <summary>
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/// Embedding Specified String ...
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/// </summary>
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/// <param name="content"></param>
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/// <param name="cancellationToken"></param>
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/// <returns></returns>
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public virtual async Task<float[]> Embeding(
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string content,
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CancellationToken cancellationToken = default
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)
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{
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//
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// Validate ...
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if (content.IsNullOrEmpty())
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{
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XException.InvalidArgs.Throw();
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}
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//
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// Retrieve Ollama Client ...
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using var client = GetEmbeddingClient();
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//
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// Create Embeding Request ....
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var request = new EmbedRequest
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{
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Input = [content],
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Model = descriptor.LLM,
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};
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//
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// Make Request and Recieve Response ...
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var response = await client.EmbedAsync(
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request: request,
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cancellationToken: cancellationToken
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);
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if (response.IsNullOrDefault())
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{
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XException.ActionFailed.Throw();
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}
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//
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// Generae Result ...
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var result = response?
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.Embeddings?
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.FirstOrDefault()
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?? [];
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if (result.Length == 0)
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{
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XException.ActionFailed.Throw();
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}
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//
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// Normalize ...
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VectorHelper.Normalize(result);
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//
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return result;
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}
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/// <summary>
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/// Embedding Specified Batch ...
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/// </summary>
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/// <param name="batch"></param>
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/// <param name="cancellationToken"></param>
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/// <returns></returns>
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public virtual async Task<IReadOnlyList<float[]>> Embedings(
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string[] batch,
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CancellationToken cancellationToken = default
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)
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{
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//
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// Validate ...
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if (!batch.HasChild() ||
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!batch.All(x => !x.IsNullOrEmpty())
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)
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{
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XException.InvalidArgs.Throw();
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}
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//
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// Retrieve Ollama Client ...
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using var client = GetEmbeddingClient();
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//
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// Create Embeding Request ....
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var request = new EmbedRequest
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{
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Input = [.. batch],
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Model = descriptor.LLM,
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};
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//
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// Make Request and Recieve Response ...
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var response = await client.EmbedAsync(
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request: request,
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cancellationToken: cancellationToken
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);
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if (response.IsNullOrDefault())
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{
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XException.ActionFailed.Throw();
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}
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//
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// Generae Result ...
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var result = response?
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.Embeddings
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.ToArray()
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?? [];
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//
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// Validate Result ...
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if (result.Length == 0)
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{
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XException.ActionFailed.Throw();
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}
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//
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// Normalize ...
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foreach (var vector in result)
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{
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VectorHelper.Normalize(vector);
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}
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//
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return result;
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}
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/// <summary>
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/// Access Embedding Client ...
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/// </summary>
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/// <returns></returns>
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public OllamaApiClient GetEmbeddingClient()
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{
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//
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var result = new OllamaApiClient(new Uri(descriptor.Url));
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//
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return result;
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}
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}
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} |