// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.
 
#nullable disable
 
using System;
using Roslyn.Utilities;
 
namespace Microsoft.CodeAnalysis.PatternMatching;
 
internal abstract partial class PatternMatcher
{
    /// <summary>
    /// First we break up the pattern given by dots.  Each portion of the pattern between the
    /// dots is a 'Segment'.  The 'Segment' contains information about the entire section of 
    /// text between the dots, as well as information about any individual 'Words' that we 
    /// can break the segment into.
    /// </summary>
    [NonCopyable]
    private struct PatternSegment(string text, bool allowFuzzyMatching) : IDisposable
    {
        // Information about the entire piece of text between the dots.  For example, if the 
        // text between the dots is 'Get-Keyword', then TotalTextChunk.Text will be 'Get-Keyword' and 
        // TotalTextChunk.CharacterSpans will correspond to 'G', 'et', 'K' and 'eyword'.
        public TextChunk TotalTextChunk = new TextChunk(text, allowFuzzyMatching);
 
        // Information about the subwords compromising the total word.  For example, if the 
        // text between the dots is 'Get-Keyword', then the subwords will be 'Get' and 'Keyword'
        // Those individual words will have CharacterSpans of ('G' and 'et') and ('K' and 'eyword')
        // respectively.
        public readonly TextChunk[] SubWordTextChunks = BreakPatternIntoSubWords(text, allowFuzzyMatching);
 
        public void Dispose()
        {
            this.TotalTextChunk.Dispose();
            foreach (var chunk in this.SubWordTextChunks)
            {
                chunk.Dispose();
            }
        }
 
        public readonly bool IsInvalid => this.SubWordTextChunks.Length == 0;
 
        private static int CountTextChunks(string pattern)
        {
            var count = 0;
            var wordLength = 0;
 
            for (var i = 0; i < pattern.Length; i++)
            {
                if (IsWordChar(pattern[i]))
                {
                    wordLength++;
                }
                else
                {
                    if (wordLength > 0)
                    {
                        count++;
                        wordLength = 0;
                    }
                }
            }
 
            if (wordLength > 0)
            {
                count++;
            }
 
            return count;
        }
 
        private static TextChunk[] BreakPatternIntoSubWords(string pattern, bool allowFuzzyMatching)
        {
            var partCount = CountTextChunks(pattern);
 
            if (partCount == 0)
            {
                return [];
            }
 
            var result = new TextChunk[partCount];
            var resultIndex = 0;
            var wordStart = 0;
            var wordLength = 0;
 
            for (var i = 0; i < pattern.Length; i++)
            {
                var ch = pattern[i];
                if (IsWordChar(ch))
                {
                    if (wordLength++ == 0)
                    {
                        wordStart = i;
                    }
                }
                else
                {
                    if (wordLength > 0)
                    {
                        result[resultIndex++] = new TextChunk(pattern.Substring(wordStart, wordLength), allowFuzzyMatching);
                        wordLength = 0;
                    }
                }
            }
 
            if (wordLength > 0)
            {
                result[resultIndex++] = new TextChunk(pattern.Substring(wordStart, wordLength), allowFuzzyMatching);
            }
 
            return result;
        }
    }
}