[Phase51] 대규모 파일 분리 — 9개 파일 → 19개 파일

SettingsWindow.Tools:
- SettingsWindow.Tools.cs: 605 → 238줄 (BuildToolRegistryPanel 유지)
- SettingsWindow.SkillListPanel.cs (신규): BuildSkillListSection, CreateSkillGroupCard (295줄)

LauncherWindow.Keyboard:
- LauncherWindow.Keyboard.cs: 593 → 454줄
- LauncherWindow.ShortcutHelp.cs (신규): ShowShortcutHelp, ShowToast, TryHandleSpecialAction (139줄)

CalculatorHandler:
- CalculatorHandler.cs: 566 → ~240줄 (CalculatorHandler 클래스만 유지)
- UnitConverter.cs (신규): 단위변환 클래스 독립 파일 (152줄)
- MathEvaluator.cs (신규): 수식파서 클래스 독립 파일 (183줄)

EmojiHandler:
- EmojiHandler.cs: 553 → 70줄 (핸들러 메서드만 유지)
- EmojiHandler.Data.cs (신규): 이모지 데이터베이스 배열 (~490줄)

DocumentPlannerTool:
- DocumentPlannerTool.cs: 598 → 324줄 (Execute 메서드 유지)
- DocumentPlannerTool.Generators.cs (신규): GenerateHtml/Docx/Markdown, BuildSections 등 (274줄)

DocumentReaderTool:
- DocumentReaderTool.cs: 571 → 338줄 (ExecuteAsync + PDF 메서드 유지)
- DocumentReaderTool.Formats.cs (신규): BibTeX/RIS/DOCX/XLSX/Text/Helpers (233줄)

CodeIndexService:
- CodeIndexService.cs: 588 → 285줄 (DB/인덱싱 유지)
- CodeIndexService.Search.cs (신규): Search, TF-IDF, Tokenize, Dispose (199줄)

ClipboardHistoryService:
- ClipboardHistoryService.cs: 575 → 458줄
- ClipboardHistoryService.ImageCache.cs (신규): 이미지 캐시 유틸리티 (120줄)

IndexService:
- IndexService.cs: 568 → 412줄
- IndexService.Helpers.cs (신규): 경로 탐색 헬퍼 + 검색 캐시 (163줄)

빌드: 경고 0, 오류 0

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-04-03 21:34:51 +09:00
parent 5bed67f64e
commit 55befebf34
19 changed files with 2396 additions and 2288 deletions

View File

@@ -0,0 +1,204 @@
using System.IO;
using System.Text;
using System.Text.RegularExpressions;
using Microsoft.Data.Sqlite;
namespace AxCopilot.Services;
public partial class CodeIndexService
{
// ── 검색 + TF-IDF + Dispose ──────────────────────────────────────────
// ── 검색 ────────────────────────────────────────────────────────────
/// <summary>시맨틱 검색: 질문과 가장 관련 있는 코드 청크를 반환합니다.</summary>
public List<SearchResult> Search(string query, int maxResults = 5)
{
if (!_indexed || _db == null || _totalDocs == 0)
return new();
var queryTokens = Tokenize(query);
if (queryTokens.Count == 0) return new();
// 쿼리 토큰의 DF 조회
var dfMap = new Dictionary<string, int>();
foreach (var token in queryTokens.Keys)
{
using var cmd = _db.CreateCommand();
cmd.CommandText = "SELECT df FROM doc_freq WHERE token = @t";
cmd.Parameters.AddWithValue("@t", token);
var result = cmd.ExecuteScalar();
if (result != null) dfMap[token] = Convert.ToInt32(result);
}
// 후보 청크 검색: 쿼리 토큰이 하나라도 포함된 청크만
var candidateChunks = new HashSet<int>();
foreach (var token in queryTokens.Keys)
{
using var cmd = _db.CreateCommand();
cmd.CommandText = "SELECT DISTINCT chunk_id FROM tokens WHERE token = @t";
cmd.Parameters.AddWithValue("@t", token);
using var reader = cmd.ExecuteReader();
while (reader.Read()) candidateChunks.Add(reader.GetInt32(0));
}
if (candidateChunks.Count == 0) return new();
// 각 후보 청크의 TF-IDF 유사도 계산
var scored = new List<(int ChunkId, double Score)>();
foreach (var chunkId in candidateChunks)
{
// 청크의 토큰 TF 로드
var docTf = new Dictionary<string, int>(StringComparer.OrdinalIgnoreCase);
using (var cmd = _db.CreateCommand())
{
cmd.CommandText = "SELECT token, tf FROM tokens WHERE chunk_id = @cid";
cmd.Parameters.AddWithValue("@cid", chunkId);
using var reader = cmd.ExecuteReader();
while (reader.Read())
docTf[reader.GetString(0)] = reader.GetInt32(1);
}
var score = ComputeTfIdfSimilarity(queryTokens, docTf, dfMap);
if (score > 0.01)
scored.Add((chunkId, score));
}
// 상위 결과 추출
var topChunks = scored
.OrderByDescending(s => s.Score)
.Take(maxResults)
.ToList();
var results = new List<SearchResult>();
foreach (var (chunkId, score) in topChunks)
{
using var cmd = _db.CreateCommand();
cmd.CommandText = """
SELECT f.path, c.start_line, c.end_line, c.content
FROM chunks c JOIN files f ON c.file_id = f.id
WHERE c.id = @cid
""";
cmd.Parameters.AddWithValue("@cid", chunkId);
using var reader = cmd.ExecuteReader();
if (reader.Read())
{
results.Add(new SearchResult
{
FilePath = reader.GetString(0),
StartLine = reader.GetInt32(1),
EndLine = reader.GetInt32(2),
Score = score,
Preview = reader.GetString(3) is { Length: > 200 } s ? s[..200] + "..." : reader.GetString(3),
});
}
}
return results;
}
/// <summary>기존 인덱스가 있으면 로드합니다 (앱 재시작 시).</summary>
public void TryLoadExisting(string workFolder)
{
if (string.IsNullOrEmpty(workFolder) || !Directory.Exists(workFolder)) return;
var dbPath = GetDbPath(workFolder);
if (!File.Exists(dbPath)) return;
EnsureDb(workFolder);
_totalDocs = GetTotalChunkCount();
_indexed = _totalDocs > 0;
if (_indexed)
LogService.Info($"기존 코드 인덱스 로드: {_totalDocs}개 청크 [{workFolder}]");
}
// ── TF-IDF 계산 ─────────────────────────────────────────────────────
private double ComputeTfIdfSimilarity(
Dictionary<string, int> queryTf,
Dictionary<string, int> docTf,
Dictionary<string, int> dfMap)
{
double dotProduct = 0, queryNorm = 0, docNorm = 0;
foreach (var (token, qtf) in queryTf)
{
var df = dfMap.GetValueOrDefault(token, 0);
var idf = Math.Log(1.0 + _totalDocs / (1.0 + df));
var qWeight = qtf * idf;
queryNorm += qWeight * qWeight;
if (docTf.TryGetValue(token, out var dtf))
{
var dWeight = dtf * idf;
dotProduct += qWeight * dWeight;
}
}
foreach (var (token, dtf) in docTf)
{
var df = dfMap.GetValueOrDefault(token, 0);
var idf = Math.Log(1.0 + _totalDocs / (1.0 + df));
var dWeight = dtf * idf;
docNorm += dWeight * dWeight;
}
if (queryNorm == 0 || docNorm == 0) return 0;
return dotProduct / (Math.Sqrt(queryNorm) * Math.Sqrt(docNorm));
}
// ── 토큰화 ──────────────────────────────────────────────────────────
/// <summary>텍스트를 토큰으로 분할하고 빈도를 계산합니다. 스톱워드 제거 포함.</summary>
private static Dictionary<string, int> Tokenize(string text)
{
var tf = new Dictionary<string, int>(StringComparer.OrdinalIgnoreCase);
var words = Regex.Split(text, @"[^a-zA-Z0-9가-힣_]+")
.SelectMany(SplitCamelCase)
.Where(w => w.Length >= 2 && !StopWords.Contains(w));
foreach (var word in words)
{
var lower = word.ToLowerInvariant();
tf.TryGetValue(lower, out var count);
tf[lower] = count + 1;
}
// 바이그램 추가 (구문 검색 품질 향상)
var wordList = words.Select(w => w.ToLowerInvariant()).ToList();
for (int i = 0; i < wordList.Count - 1; i++)
{
var bigram = $"{wordList[i]}_{wordList[i + 1]}";
tf.TryGetValue(bigram, out var bc);
tf[bigram] = bc + 1;
}
return tf;
}
private static IEnumerable<string> SplitCamelCase(string word)
{
if (string.IsNullOrEmpty(word)) yield break;
var sb = new StringBuilder();
foreach (var ch in word)
{
if (char.IsUpper(ch) && sb.Length > 0)
{
yield return sb.ToString();
sb.Clear();
}
sb.Append(ch);
}
if (sb.Length > 0) yield return sb.ToString();
}
// ── Dispose ─────────────────────────────────────────────────────────
public void Dispose()
{
_db?.Dispose();
_db = null;
}
}