Janady13/AI_Brain / tests/test_knowledge_pipeline.cs

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / tests/test_knowledge_pipeline.cs
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	6d0767aad08781eb5c4e1eb14a42ec92c437be78
Branch	copilot/convert-python-files-to-csharp
Path or archive member	tests/test_knowledge_pipeline.cs
Original SHA-256	976152503ab8b39f81dd44bb4adffdb9e89817b8bd6735bf4006a5f30ee471d2
Git blob SHA	a734fddd023f99e1ceec0d9805e906f9d37b4cd2
Reading-copy SHA-256	976152503ab8b39f81dd44bb4adffdb9e89817b8bd6735bf4006a5f30ee471d2

Original source ↗

Recovered source transcript

Download complete source text ↓71 lines · 1.7 KB

// Tests for knowledge pipeline

using System;
using AIBrain.Services;
using Xunit;

namespace AIBrain.Tests
{
    public class TestKnowledgePipeline
    {
        [Fact]
        public void TestAddFact()
        {
            var pipeline = new KnowledgePipeline();
            pipeline.AddFact("Test fact");

            Assert.Equal(1, pipeline.Count);
        }

        [Fact]
        public void TestGetFacts()
        {
            var pipeline = new KnowledgePipeline();
            pipeline.AddFact("Fact 1");
            pipeline.AddFact("Fact 2");

            var facts = pipeline.GetFacts();

            Assert.Equal(2, facts.Count);
            Assert.Contains("Fact 1", facts);
            Assert.Contains("Fact 2", facts);
        }

        [Fact]
        public void TestSearchFacts()
        {
            var pipeline = new KnowledgePipeline();
            pipeline.AddFact("Machine learning is powerful");
            pipeline.AddFact("Deep learning uses neural networks");
            pipeline.AddFact("Python is great for ML");

            var results = pipeline.SearchFacts("learning");

            Assert.Equal(2, results.Count);
        }

        [Fact]
        public void TestClearFacts()
        {
            var pipeline = new KnowledgePipeline();
            pipeline.AddFact("Test");
            pipeline.ClearFacts();

            Assert.Equal(0, pipeline.Count);
        }

        [Fact]
        public void TestGetStatistics()
        {
            var pipeline = new KnowledgePipeline();
            pipeline.AddFact("Fact 1");
            pipeline.AddFact("Fact 2");

            var stats = pipeline.GetStatistics();

            Assert.Equal(2, stats["total_facts"]);
            Assert.Equal(2, stats["unique_facts"]);
        }
    }
}