Function _scan_to_issues

src/pyspector/cli.py:300–351

Run a scan and return the filtered issue list. Used by watch mode.

(
    scan_path:      Path,
    config_path:    Optional[Path],
    severity_level: str,
    ai_scan:        bool,
    syntax_warnings: bool = False,
    debug:          bool  = False,
    cache:          Optional[IncrementalAstCache] = None,
)

                            f"Warning: Could not read {display_path} - {e}",
                            fg="yellow",
                        )
                    )
                    if _stats_meta is not None:
                        _stats_meta['errors'] += 1

    return results


def _scan_to_issues(
    scan_path:      Path,
    config_path:    Optional[Path],
    severity_level: str,
    ai_scan:        bool,
    syntax_warnings: bool = False,
    debug:          bool  = False,
    cache:          Optional[IncrementalAstCache] = None,
) -> List:
    """Run a scan and return the filtered issue list. Used by watch mode."""
    config         = load_config(config_path)
    rules_toml_str = get_default_rules(ai_scan)

    if cache is None:
        cache = get_cache(scan_path)

    baseline_path = (
        scan_path / ".pyspector_baseline.json"
        if scan_path.is_dir()
        else scan_path.parent / ".pyspector_baseline.json"
    )
    ignored_fingerprints: set = set()
    if baseline_path.exists():
        try:
            with baseline_path.open("r") as f:
                ignored_fingerprints = set(
                    json.load(f).get("ignored_fingerprints", [])
                )
        except json.JSONDecodeError:
            pass

    python_files_data = get_python_file_asts(
        scan_path,
        enable_syntax_warnings=syntax_warnings,
        debug=debug,
        exclude=list(config.get("exclude", [])),
        cache=cache,
    )

    with _silence_fd1(not debug):
        raw_issues = run_scan(
            str(scan_path.resolve()), rules_toml_str, config, python_files_data
        )

    severity_map = {"LOW": 0, "MEDIUM": 1, "HIGH": 2, "CRITICAL": 3}
    min_sev = severity_map[severity_level.upper()]