feat: Project Indexer + Context Manager + GeminiCaller 구현 및 테스트 #task-187 #task-188 #task-189

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quantlab
2026-03-06 17:15:54 +09:00
parent 0e3d85f9da
commit 9192770300
5 changed files with 497 additions and 0 deletions

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core/project_indexer.py Normal file
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"""Project Indexer — 프로젝트 구조 분석/캐시.
파일 구조, import 관계, 함수 시그니처를 파악하여
Context Manager가 관련 파일을 선별할 수 있게 합니다.
"""
import os
import re
import json
from pathlib import Path
from dataclasses import dataclass, field, asdict
@dataclass
class FileInfo:
path: str
language: str
size: int
line_count: int
imports: list[str] = field(default_factory=list)
functions: list[str] = field(default_factory=list)
classes: list[str] = field(default_factory=list)
LANGUAGE_MAP = {
".py": "python", ".js": "javascript", ".ts": "typescript",
".java": "java", ".cs": "csharp", ".cpp": "cpp", ".c": "c",
".go": "go", ".rs": "rust", ".rb": "ruby", ".php": "php",
".html": "html", ".css": "css", ".md": "markdown",
".yaml": "yaml", ".yml": "yaml", ".json": "json",
".sql": "sql", ".sh": "bash", ".ps1": "powershell",
}
IGNORE_DIRS = {
".git", ".agent", "node_modules", "__pycache__", ".venv",
"venv", ".tox", ".mypy_cache", ".pytest_cache", "dist",
"build", ".next", ".nuxt", "sessions",
}
IGNORE_EXTENSIONS = {
".pyc", ".pyo", ".exe", ".dll", ".so", ".o",
".jpg", ".png", ".gif", ".ico", ".svg",
".zip", ".tar", ".gz", ".rar",
".db", ".sqlite", ".lock",
}
class ProjectIndex:
"""프로젝트 구조를 분석하고 캐시합니다."""
def __init__(self, project_path: str, max_file_size: int = 100_000):
self.project_path = Path(project_path).resolve()
self.max_file_size = max_file_size
self.files: dict[str, FileInfo] = {}
self.import_graph: dict[str, list[str]] = {} # file → [imported files]
def scan(self) -> "ProjectIndex":
"""프로젝트 전체 스캔."""
self.files.clear()
self.import_graph.clear()
for root, dirs, files in os.walk(self.project_path):
# 무시 디렉토리 필터
dirs[:] = [d for d in dirs if d not in IGNORE_DIRS]
for fname in files:
fpath = Path(root) / fname
ext = fpath.suffix.lower()
if ext in IGNORE_EXTENSIONS:
continue
if fpath.stat().st_size > self.max_file_size:
continue
rel_path = str(fpath.relative_to(self.project_path)).replace("\\", "/")
lang = LANGUAGE_MAP.get(ext, "")
try:
content = fpath.read_text(encoding="utf-8", errors="ignore")
lines = content.splitlines()
except Exception:
continue
info = FileInfo(
path=rel_path,
language=lang,
size=fpath.stat().st_size,
line_count=len(lines),
)
# 언어별 파싱
if lang == "python":
info.imports = self._parse_python_imports(content)
info.functions = self._parse_python_functions(content)
info.classes = self._parse_python_classes(content)
self.files[rel_path] = info
# import 그래프 구축
self._build_import_graph()
return self
def _parse_python_imports(self, content: str) -> list[str]:
imports = []
for line in content.splitlines():
line = line.strip()
if line.startswith("import "):
imports.append(line.split()[1].split(".")[0])
elif line.startswith("from "):
match = re.match(r"from\s+([\w.]+)\s+import", line)
if match:
imports.append(match.group(1))
return imports
def _parse_python_functions(self, content: str) -> list[str]:
return re.findall(r"^(?:async\s+)?def\s+(\w+)\s*\(", content, re.MULTILINE)
def _parse_python_classes(self, content: str) -> list[str]:
return re.findall(r"^class\s+(\w+)\s*[:\(]", content, re.MULTILINE)
def _build_import_graph(self):
"""import 문에서 프로젝트 내 파일을 찾아 그래프 구축."""
file_modules = {}
for rel_path in self.files:
if rel_path.endswith(".py"):
module = rel_path.replace("/", ".").removesuffix(".py")
file_modules[module] = rel_path
# 마지막 부분만으로도 매칭
parts = module.split(".")
if len(parts) > 1:
file_modules[parts[-1]] = rel_path
for rel_path, info in self.files.items():
deps = []
for imp in info.imports:
if imp in file_modules:
deps.append(file_modules[imp])
# 점 표기법 부분 매칭
for mod, fpath in file_modules.items():
if imp.startswith(mod) or mod.startswith(imp):
if fpath not in deps and fpath != rel_path:
deps.append(fpath)
self.import_graph[rel_path] = deps
def find_relevant(self, query: str) -> list[str]:
"""쿼리에서 언급된 파일/함수/클래스 기반으로 관련 파일 검색."""
query_lower = query.lower()
scored = []
for rel_path, info in self.files.items():
score = 0
# 파일명 매칭
basename = Path(rel_path).stem.lower()
if basename in query_lower:
score += 10
# 경로 부분 매칭
for part in rel_path.lower().split("/"):
if part.rstrip(".py") in query_lower:
score += 5
# 함수/클래스 매칭
for func in info.functions:
if func.lower() in query_lower:
score += 8
for cls in info.classes:
if cls.lower() in query_lower:
score += 8
if score > 0:
scored.append((rel_path, score))
scored.sort(key=lambda x: -x[1])
return [path for path, _ in scored]
def expand_dependencies(self, files: list[str], depth: int = 2) -> list[str]:
"""import 관계로 관련 파일 확장."""
result = set(files)
frontier = set(files)
for _ in range(depth):
next_frontier = set()
for f in frontier:
deps = self.import_graph.get(f, [])
for dep in deps:
if dep not in result:
result.add(dep)
next_frontier.add(dep)
# 역방향: 이 파일을 import하는 파일
for other, other_deps in self.import_graph.items():
if f in other_deps and other not in result:
result.add(other)
next_frontier.add(other)
frontier = next_frontier
return list(result)
def get_structure_summary(self) -> str:
"""프로젝트 구조 요약 (Gemini에 전달용)."""
lines = [f"# Project: {self.project_path.name}", ""]
dirs: dict[str, list[str]] = {}
for rel_path in sorted(self.files.keys()):
d = str(Path(rel_path).parent)
if d == ".":
d = "(root)"
dirs.setdefault(d, []).append(Path(rel_path).name)
for d, files in sorted(dirs.items()):
lines.append(f"## {d}/")
for f in files:
info = self.files.get(f"{d}/{f}" if d != "(root)" else f)
if info:
funcs = ", ".join(info.functions[:5])
extra = f"{funcs}" if funcs else ""
lines.append(f" - {f} ({info.line_count}L){extra}")
else:
lines.append(f" - {f}")
lines.append("")
return "\n".join(lines)
def save_cache(self, cache_path: str):
data = {
"project_path": str(self.project_path),
"files": {k: asdict(v) for k, v in self.files.items()},
"import_graph": self.import_graph,
}
Path(cache_path).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
def load_cache(self, cache_path: str) -> bool:
p = Path(cache_path)
if not p.exists():
return False
data = json.loads(p.read_text(encoding="utf-8"))
self.files = {k: FileInfo(**v) for k, v in data["files"].items()}
self.import_graph = data["import_graph"]
return True