#r "nuget: Microsoft.SemanticKernel, 1.23.0"
#r "nuget: Microsoft.SemanticKernel.Plugins.Web, 1.23.0-alpha"
#r "nuget: Microsoft.SemanticKernel.Plugins.Core, 1.23.0-alpha"
#r "nuget: Microsoft.SemanticKernel.PromptTemplates.Handlebars, 1.23.0-alpha"

#!import config/Settings.cs
#!import config/Utils.cs

using InteractiveKernel = Microsoft.DotNet.Interactive.Kernel;

string BING_KEY = (await InteractiveKernel.GetPasswordAsync("Please enter your Bing Search Key")).GetClearTextPassword();

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Data;
using Microsoft.SemanticKernel.Plugins.Web.Bing;
using Kernel = Microsoft.SemanticKernel.Kernel;

// Create a kernel with OpenAI chat completion
var builder = Kernel.CreateBuilder();

// Configure AI backend used by the kernel
var (useAzureOpenAI, model, azureEndpoint, apiKey, orgId) = Settings.LoadFromFile();
if (useAzureOpenAI)
    builder.AddAzureOpenAIChatCompletion(model, azureEndpoint, apiKey);
else
    builder.AddOpenAIChatCompletion(model, apiKey, orgId);
var kernel = builder.Build();

// Create a text search using Bing search
#pragma warning disable SKEXP0050
var textSearch = new BingTextSearch(apiKey: BING_KEY);

// Build a text search plugin with Bing search and add to the kernel
var searchPlugin = textSearch.CreateWithSearch("SearchPlugin");
kernel.Plugins.Add(searchPlugin);

// Invoke prompt and use text search plugin to provide grounding information
var query = "What is the Semantic Kernel?";
var prompt = "{{SearchPlugin.Search $query}}. {{$query}}";
KernelArguments arguments = new() { { "query", query } };
Console.WriteLine(await kernel.InvokePromptAsync(prompt, arguments));

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Data;
using Microsoft.SemanticKernel.Plugins.Web.Bing;
using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
using Kernel = Microsoft.SemanticKernel.Kernel;

// Create a kernel with OpenAI chat completion
var builder = Kernel.CreateBuilder();

// Configure AI backend used by the kernel
var (useAzureOpenAI, model, azureEndpoint, apiKey, orgId) = Settings.LoadFromFile();
if (useAzureOpenAI)
    builder.AddAzureOpenAIChatCompletion(model, azureEndpoint, apiKey);
else
    builder.AddOpenAIChatCompletion(model, apiKey, orgId);
var kernel = builder.Build();

// Create a text search using Bing search
#pragma warning disable SKEXP0050
var textSearch = new BingTextSearch(apiKey: BING_KEY);

// Build a text search plugin with Bing search and add to the kernel
var searchPlugin = textSearch.CreateWithGetTextSearchResults("SearchPlugin");
kernel.Plugins.Add(searchPlugin);

// Invoke prompt and use text search plugin to provide grounding information
var query = "What is the Semantic Kernel?";
string promptTemplate = """
{{#with (SearchPlugin-GetTextSearchResults query)}}  
    {{#each this}}  
    Name: {{Name}}
    Value: {{Value}}
    Link: {{Link}}
    -----------------
    {{/each}}  
{{/with}}  

{{query}}

Include citations to the relevant information where it is referenced in the response.
""";
KernelArguments arguments = new() { { "query", query } };
HandlebarsPromptTemplateFactory promptTemplateFactory = new();
Console.WriteLine(await kernel.InvokePromptAsync(
    promptTemplate,
    arguments,
    templateFormat: HandlebarsPromptTemplateFactory.HandlebarsTemplateFormat,
    promptTemplateFactory: promptTemplateFactory
));

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Data;
using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
using Microsoft.SemanticKernel.Plugins.Web.Bing;

// Create a kernel with OpenAI chat completion
var builder = Kernel.CreateBuilder();

// Configure AI backend used by the kernel
var (useAzureOpenAI, model, azureEndpoint, apiKey, orgId) = Settings.LoadFromFile();
if (useAzureOpenAI)
    builder.AddAzureOpenAIChatCompletion(model, azureEndpoint, apiKey);
else
    builder.AddOpenAIChatCompletion(model, apiKey, orgId);
var kernel = builder.Build();

// Create a text search using Bing search
#pragma warning disable SKEXP0050
var textSearch = new BingTextSearch(apiKey: BING_KEY);

// Create a filter to search only the Microsoft Developer Blogs site
#pragma warning disable SKEXP0001
var filter = new TextSearchFilter().Equality("site", "devblogs.microsoft.com");
var searchOptions = new TextSearchOptions() { Filter = filter };

// Build a text search plugin with Bing search and add to the kernel
var searchPlugin = KernelPluginFactory.CreateFromFunctions(
    "SearchPlugin", "Search Microsoft Developer Blogs site only",
    [textSearch.CreateGetTextSearchResults(searchOptions: searchOptions)]);
kernel.Plugins.Add(searchPlugin);

// Invoke prompt and use text search plugin to provide grounding information
var query = "What is the Semantic Kernel?";
string promptTemplate = """
{{#with (SearchPlugin-GetTextSearchResults query)}}  
    {{#each this}}  
    Name: {{Name}}
    Value: {{Value}}
    Link: {{Link}}
    -----------------
    {{/each}}  
{{/with}}  

{{query}}

Include citations to the relevant information where it is referenced in the response.
""";
KernelArguments arguments = new() { { "query", query } };
HandlebarsPromptTemplateFactory promptTemplateFactory = new();
Console.WriteLine(await kernel.InvokePromptAsync(
    promptTemplate,
    arguments,
    templateFormat: HandlebarsPromptTemplateFactory.HandlebarsTemplateFormat,
    promptTemplateFactory: promptTemplateFactory
));