"""Generate rich, interactive HTML review tool for the macOS contextual perception dataset.""" from __future__ import annotations import argparse import html import json import os from pathlib import Path from typing import Dict, List, Optional def build_review_html(pilot_dir: Path) -> str: """Build a standalone, responsive, high-aesthetic HTML review tool.""" screens_dir = pilot_dir / "screens" pairs_dir = pilot_dir / "pairs" manifest_file = pilot_dir / "manifest.jsonl" manifest_records = [] if manifest_file.exists(): for line in manifest_file.read_text().splitlines(): if line.strip(): manifest_records.append(json.loads(line)) # Collect screen data screens_data = {} for screen_path in sorted(screens_dir.glob("*")): if not screen_path.is_dir(): continue sid = screen_path.name ann_reviewed = screen_path / "annotation.reviewed.json" ann_teacher = screen_path / "annotation.teacher.json" val_file = screen_path / "validation.json" proposals_file = screen_path / "proposals/raw.json" ann_data = None if ann_reviewed.exists(): ann_data = json.loads(ann_reviewed.read_text()) elif ann_teacher.exists(): ann_data = json.loads(ann_teacher.read_text()) teacher_data = None if ann_teacher.exists(): teacher_data = json.loads(ann_teacher.read_text()) val_data = {} if val_file.exists(): val_data = json.loads(val_file.read_text()) prop_data = {} if proposals_file.exists(): prop_data = json.loads(proposals_file.read_text()) # Relative paths for images screens_data[sid] = { "screen_id": sid, "annotation": ann_data, "teacher_annotation": teacher_data, "validation": val_data, "proposals": prop_data, "image_url": f"../screens/{sid}/source.png", "overlay_url": f"../screens/{sid}/proposals/overlay.png", "audit_overlay_url": f"../screens/{sid}/audit_overlay.png", } # Collect pairs data pairs_data = {} if pairs_dir.exists(): for p_file in sorted(pairs_dir.glob("*.json")): p_data = json.loads(p_file.read_text()) pairs_data[p_file.stem] = p_data html_content = f"""