#!/usr/bin/env python3 """ generate.py — CLI for UnrealDocGenerator. Usage: python generate.py can be a single .h file or a directory (processed recursively). Two-pass pipeline: Pass 1 — parse every header, build a corpus-wide type index Pass 2 — render each header with cross-reference links injected """ import sys import os import re from pathlib import Path from ue_parser import parse_header, ParsedHeader from ue_markdown import render_header # --------------------------------------------------------------------------- # Type index # --------------------------------------------------------------------------- def build_type_index(parsed_list: list[tuple[Path, ParsedHeader]], input_base: Path) -> dict[str, str]: """ Returns {TypeName: md_path_relative_to_docs_root} for every class, struct, enum, and delegate in the corpus. """ index: dict[str, str] = {} for h, parsed in parsed_list: try: rel = h.relative_to(input_base) except ValueError: rel = Path(h.name) md_rel = str(rel.with_suffix('.md')) for ci in parsed.classes: index[ci.name] = md_rel for ei in parsed.enums: index[ei.name] = md_rel for di in parsed.delegates: index[di.name] = md_rel # namespace names are not types — skip return index # --------------------------------------------------------------------------- # Type index file # --------------------------------------------------------------------------- def write_type_index(type_index: dict[str, str], output_dir: Path) -> None: """ Write docs/type-index.txt — compact TypeName: path/to/File.md lookup. One entry per line, alphabetically sorted. Agents can grep this file to resolve a type name to its documentation path. """ _valid_name = re.compile(r'^[A-Za-z_][A-Za-z0-9_]*$') lines = sorted(f"{name}: {path}" for name, path in type_index.items() if _valid_name.match(name)) out = output_dir / "type-index.txt" out.write_text('\n'.join(lines) + '\n', encoding='utf-8') print(f"Written {out}") # --------------------------------------------------------------------------- # Main # --------------------------------------------------------------------------- def main(): if len(sys.argv) < 3: print("Usage: python generate.py ", file=sys.stderr) sys.exit(1) input_arg = Path(sys.argv[1]) output_dir = Path(sys.argv[2]) output_dir.mkdir(parents=True, exist_ok=True) # Collect input files if input_arg.is_file(): headers = [input_arg] input_base = input_arg.parent elif input_arg.is_dir(): headers = sorted(input_arg.rglob('*.h')) input_base = input_arg else: print(f"Error: {input_arg} is not a file or directory", file=sys.stderr) sys.exit(1) if not headers: print("No .h files found.", file=sys.stderr) sys.exit(1) # --- Pass 1: parse all --- parsed_list: list[tuple[Path, ParsedHeader]] = [] for h in headers: print(f"Parsing {h} ...") try: parsed = parse_header(str(h)) parsed_list.append((h, parsed)) except Exception as exc: print(f" ERROR parsing {h}: {exc}", file=sys.stderr) # --- Build corpus-wide type index --- type_index = build_type_index(parsed_list, input_base) # --- Pass 2: render all --- success = 0 for h, parsed in parsed_list: print(f"Rendering {h} ...") try: rel = h.relative_to(input_base) except ValueError: rel = Path(h.name) current_md = str(rel.with_suffix('.md')) out_path = output_dir / current_md out_path.parent.mkdir(parents=True, exist_ok=True) try: md = render_header(parsed, type_index=type_index, current_md=current_md) out_path.write_text(md, encoding='utf-8') success += 1 except Exception as exc: print(f" ERROR rendering {h}: {exc}", file=sys.stderr) write_type_index(type_index, output_dir) print(f"\nGenerated {success}/{len(parsed_list)} files + type-index.txt in {output_dir}/") if __name__ == '__main__': main()