AI-Studio/app/MindWork AI Studio/Tools/RAG/AugmentationProcesses/AugmentationOne.cs

119 lines
4.5 KiB
C#

using System.Text;
using AIStudio.Chat;
using AIStudio.Provider;
namespace AIStudio.Tools.RAG.AugmentationProcesses;
public sealed class AugmentationOne : IAugmentationProcess
{
#region Implementation of IAugmentationProcess
/// <inheritdoc />
public string TechnicalName => "AugmentationOne";
/// <inheritdoc />
public string UIName => "Standard augmentation process";
/// <inheritdoc />
public string Description => "This is the standard augmentation process, which uses all retrieval contexts to augment the chat thread.";
/// <inheritdoc />
public async Task<ChatThread> ProcessAsync(IProvider provider, IContent lastPrompt, ChatThread chatThread, IReadOnlyList<IRetrievalContext> retrievalContexts, CancellationToken token = default)
{
var logger = Program.SERVICE_PROVIDER.GetService<ILogger<AugmentationOne>>()!;
if(retrievalContexts.Count == 0)
{
logger.LogWarning("No retrieval contexts were issued. Skipping the augmentation process.");
return chatThread;
}
var numTotalRetrievalContexts = retrievalContexts.Count;
logger.LogInformation($"Starting the augmentation process over {numTotalRetrievalContexts:###,###,###,###} retrieval contexts.");
//
// We build a huge prompt from all retrieval contexts:
//
var sb = new StringBuilder();
sb.AppendLine("The following useful information will help you in processing the user prompt:");
sb.AppendLine();
var index = 0;
foreach(var retrievalContext in retrievalContexts)
{
index++;
sb.AppendLine($"# Retrieval context {index} of {numTotalRetrievalContexts}");
sb.AppendLine($"Data source name: {retrievalContext.DataSourceName}");
sb.AppendLine($"Content category: {retrievalContext.Category}");
sb.AppendLine($"Content type: {retrievalContext.Type}");
sb.AppendLine($"Content path: {retrievalContext.Path}");
if(retrievalContext.Links.Count > 0)
{
sb.AppendLine("Additional links:");
foreach(var link in retrievalContext.Links)
sb.AppendLine($"- {link}");
}
switch(retrievalContext)
{
case RetrievalTextContext textContext:
sb.AppendLine();
sb.AppendLine("Matched text content:");
sb.AppendLine("````");
sb.AppendLine(textContext.MatchedText);
sb.AppendLine("````");
if(textContext.SurroundingContent.Count > 0)
{
sb.AppendLine();
sb.AppendLine("Surrounding text content:");
foreach(var surrounding in textContext.SurroundingContent)
{
sb.AppendLine();
sb.AppendLine("````");
sb.AppendLine(surrounding);
sb.AppendLine("````");
}
}
break;
case RetrievalImageContext imageContext:
sb.AppendLine();
sb.AppendLine("Matched image content as base64-encoded data:");
sb.AppendLine("````");
sb.AppendLine(await imageContext.AsBase64(token));
sb.AppendLine("````");
break;
default:
logger.LogWarning($"The retrieval content type '{retrievalContext.Type}' of data source '{retrievalContext.DataSourceName}' at location '{retrievalContext.Path}' is not supported yet.");
break;
}
sb.AppendLine();
}
//
// Append the entire augmentation to the chat thread,
// just before the user prompt:
//
chatThread.Blocks.Insert(chatThread.Blocks.Count - 1, new()
{
Role = ChatRole.RAG,
Time = DateTimeOffset.UtcNow,
ContentType = ContentType.TEXT,
HideFromUser = true,
Content = new ContentText
{
Text = sb.ToString(),
}
});
return chatThread;
}
#endregion
}