"""Implementazione `countings` usando il CLI `pygount` (JSON) con fallback. Questo modulo fornisce `analyze_file_counts` e `analyze_paths`. """ from pathlib import Path from typing import Dict, Any, Iterable, List import json import subprocess import logging try: import pygount # type: ignore _HAS_PYGOUNT = True except Exception: _HAS_PYGOUNT = False _LOG = logging.getLogger(__name__) def _map_pygount_json_item(item: Dict[str, Any]) -> Dict[str, Any]: # Support multiple pygount JSON shapes and key names physical = ( item.get("raw_total_lines") or item.get("n_lines") or item.get("lines") or item.get("raw_lines") or item.get("lineCount") or item.get("line_count") or 0 ) code = ( item.get("code") or item.get("n_code") or item.get("n_code_lines") or item.get("code_lines") or item.get("codeCount") or item.get("sourceCount") or 0 ) comment = ( item.get("comment") or item.get("n_comment") or item.get("n_comment_lines") or item.get("comment_lines") or item.get("documentationCount") or 0 ) blank = ( item.get("blank") or item.get("n_blank") or item.get("blank_lines") or item.get("emptyCount") or item.get("empty_count") or 0 ) language = item.get("language") or item.get("lang") or item.get("languageName") or "unknown" file_path = ( item.get("filename") or item.get("file") or item.get("path") or item.get("name") or "" ) return { "file": file_path, "physical_lines": int(physical), "code_lines": int(code), "comment_lines": int(comment), "blank_lines": int(blank), "language": language, } def analyze_file_counts(path: Path) -> Dict[str, Any]: if not path.exists(): raise FileNotFoundError(f"File non trovato: {path}") result: Dict[str, Any] = { "file": str(path), "physical_lines": 0, "code_lines": 0, "comment_lines": 0, "blank_lines": 0, "language": "unknown", } if _HAS_PYGOUNT: try: proc = subprocess.run(["pygount", "--format", "json", str(path)], check=True, capture_output=True, text=True) parsed = json.loads(proc.stdout) # Support expected JSON shapes from pygount: list or dict with 'files' if isinstance(parsed, list) and parsed: item = parsed[0] result.update(_map_pygount_json_item(item)) return result if isinstance(parsed, dict): files = parsed.get("files") if files and isinstance(files, list) and files: item = files[0] result.update(_map_pygount_json_item(item)) return result # If pygount ran but returned no usable data, log stdout/stderr at DEBUG _LOG.debug("pygount returned empty or unexpected JSON for %s", path) _LOG.debug("pygount stdout:\n%s", proc.stdout) _LOG.debug("pygount stderr:\n%s", proc.stderr) # force fallback to simple counting raise RuntimeError("pygount returned no data") except Exception: # Log exception and stderr if available, then fall back to simple counting try: # If proc exists, include its stderr for diagnostics if 'proc' in locals(): _LOG.exception("pygount invocation failed for %s; stderr:\n%s", path, getattr(proc, 'stderr', None)) else: _LOG.exception("pygount invocation failed for %s", path) except Exception: # ensure we don't break on logging pass # fall back to simple counting pass # Fallback: basic counting with path.open("r", errors="ignore") as fh: lines = fh.readlines() physical = len(lines) blanks = sum(1 for l in lines if l.strip() == "") code_lines = physical - blanks result.update({ "physical_lines": physical, "code_lines": code_lines, "comment_lines": 0, "blank_lines": blanks, "language": "unknown", }) return result def analyze_paths(paths: Iterable[Path]) -> List[Dict[str, Any]]: results: List[Dict[str, Any]] = [] for p in paths: path = Path(p) try: results.append(analyze_file_counts(path)) except Exception as e: results.append({"file": str(path), "error": str(e)}) return results