#!/usr/bin/env python3 """Validate parity between the repo and prepared Hugging Face mirrors. This is a publisher-side check. It compares critical website data, figures, and validator scripts across the local repo, prepared HF Space bundle, prepared HF artifact dataset bundle, and prepared HF model bundle before upload. """ from __future__ import annotations import argparse import hashlib import json from datetime import datetime, timezone from pathlib import Path ROOT = Path(__file__).resolve().parents[1] DEFAULT_HF_ROOT = ROOT.parent / "hf_publish" DEFAULT_OUTPUT = ROOT / "docs/data/mirror_parity.json" DATA_FILES = [ "additional_development_directions.json", "audio_ablation_summary.json", "artifact_index.json", "brand_assets.json", "evidence_contract.json", "evaluation_protocol.json", "figure_index.json", "foundation_model_plan.json", "live_publication_status.json", "modality_atlas.json", "omni_finetune_verified_result.json", "omni_model_comparison.json", "project_brief.json", "project_manifest.json", "project_packet.json", "project_status.json", "publication_audit.json", "public_surface_qa.json", "qwen3_full_parameter_gates.json", "qwen3_v5_v6_comparison.json", "quality_gates.json", "rendered_site_check.json", "reproducibility_matrix.json", "research_roadmap.json", "research_roadmap_interactive.json", "research_takeaways.json", "research_direction_extensions.json", "research_directions.json", "scope_claims_audit.json", "single_episode_explorer.json", "source_alignment_audit.json", "summary_metrics.json", "task_suite_enhancement_128.json", "task_surface_integrity.json", "task_walkthroughs.json", "website_integrity.json", "xperience10m_dataset_card_alignment.json", ] ASSET_FILES = [ "charts/audio_ablation_delta.svg", "brand/xperience10m-logo-apple-touch.png", "brand/xperience10m-logo-favicon-32.png", "brand/xperience10m-logo-favicon-64.png", "brand/xperience10m-logo-mark.png", "brand/xperience10m-logo-mark-192.png", "brand/xperience10m-logo-mark-512.png", "brand/xperience10m-logo-social-card.png", "task_suite_infographic.png", "pipeline_diagram.png", "task_architectures.png", "modalities/audio.png", "modalities/depth.jpg", "modalities/inertial.png", "modalities/language.png", "modalities/motion_capture.png", "modalities/pose_slam.png", "modalities/video.jpg", ] SCRIPT_FILES = [ "omni/analyze_qwen3_omni_errors.py", "omni/audit_cosmos3_super_training_contract.py", "omni/build_omni_model_comparison.py", "omni/build_qwen3_full_parameter_gate_summary.py", "omni/collect_qwen3_v4_release_artifacts.py", "omni/defer_cosmos3_super_after_qwen_v4.sh", "omni/defer_qwen3_fullparam_after_verified_qwen.sh", "omni/export_cosmos3_camera_pose_targets.py", "omni/pack_cosmos3_super_action_batch.py", "omni/prepare_cosmos3_super_lora_hf_package.py", "omni/prepare_qwen3_lora_hf_package.py", "omni/patch_qwen3_omni_video_features.py", "omni/probe_cosmos3_super_training_readiness.py", "omni/run_private_gpu_qwen3_v6_repro_smoke.sh", "omni/run_128_task_baselines.py", "omni/build_task_suite_enhancement_128.py", "omni/run_cosmos3_super_forward_dynamics_lora.sh", "omni/train_cosmos3_super_forward_dynamics_lora.py", "audio_ablation_and_raw_upgrade.py", "build_artifact_index.py", "build_brand_assets.py", "build_evaluation_protocol.py", "build_figure_index.py", "build_quality_gates.py", "build_public_surface_qa.py", "build_rendered_site_check.py", "build_interactive_research_roadmap.py", "build_single_episode_explorer.py", "build_research_takeaways.py", "single_episode_diagnostics.py", "verify_live_publication.py", "validate_mirror_parity.py", "validate_publication_package.py", "validate_scope_claims.py", "validate_source_alignment.py", "validate_task_surface.py", "validate_website_integrity.py", "sync_hf_publish_mirrors.py", "publish_hf_bundles.py", ] WEBSITE_FILES = [ "apple-touch-icon.png", "favicon.png", "index.html", "research_roadmap.html", "single_episode_explorer.html", "site.webmanifest", ] RESULT_FILES = [ "audio_ablation/AUDIO_ABLATION_SUMMARY.md", "audio_ablation/audio_ablation_metrics.csv", "audio_ablation/audio_ablation_summary.json", "audio_ablation/audio_delta_summary.csv", "audio_ablation/raw_logmel_fisheye_cam0_sr16000_mels64_fft512_hop160.npz", "single_episode_diagnostics/provenance.json", "single_episode_diagnostics/README.md", "single_episode_diagnostics/modality_ablation/ablation_metrics.csv", "single_episode_diagnostics/modality_ablation/ablation_summary.json", "single_episode_diagnostics/object_labels/object_vocab.json", "single_episode_diagnostics/object_labels/window_object_labels.csv", "single_episode_diagnostics/timeline_overlay/timeline_overlay.csv", "single_episode_diagnostics/alignment_stress/alignment_shift_metrics.csv", "single_episode_diagnostics/alignment_stress/alignment_stress_summary.json", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/ERROR_ANALYSIS.md", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/error_analysis_summary.json", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/episode_error_analysis.csv", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/action_family_error_analysis.csv", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/train_seen_error_analysis.csv", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/missing_modality_error_analysis.csv", "omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/object_category_error_analysis.csv", "omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md", "omni_finetune/multi_episode_128_task_baselines/summary_report.json", "omni_finetune/multi_episode_128_task_baselines/task_metrics.csv", "omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md", "omni_finetune/task_suite_enhancement_128_v1_20260608/dense_window_scenarios.csv", "omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json", "omni_finetune/task_suite_enhancement_128_v1_20260608/experiment_backlog.json", "omni_finetune/task_suite_enhancement_128_v1_20260608/hierarchical_target_contract.json", "omni_finetune/task_suite_enhancement_128_v1_20260608/qwen_action_family_error_summary.csv", "omni_finetune/task_suite_enhancement_128_v1_20260608/task_bottlenecks.csv", "omni_finetune/OMNI_MODEL_COMPARISON.md", "omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md", "omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609/fullparam_feasibility_summary.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609/training_metadata.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609/RUN_REPORT.md", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_shorttrain8_preemptible_8gpu_20260609/fullparam_shorttrain8_summary.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_shorttrain8_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_shorttrain8_preemptible_8gpu_20260609/launch_status.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot32_preemptible_8gpu_20260609/fullparam_pilot32_summary.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot32_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot32_preemptible_8gpu_20260609/launch_status.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/fullparam_pilot64_summary.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/training_metadata.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/RUN_REPORT.md", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/config.yaml", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/launch_status.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_preemptible_8gpu_20260609/fullparam_pilot128_summary.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_preemptible_8gpu_20260609/launch_status.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/progress.jsonl", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/config.yaml", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/training_metadata.json", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/RUN_REPORT.md", "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/launch_status.jsonl", "omni_finetune/HF_UPLOAD.md", "omni_finetune/xperience10m_cosmos3_super_training_readiness_20260607/training_readiness.json", "omni_finetune/xperience10m_cosmos3_super_training_readiness_20260607/RUN_REPORT.md", "omni_finetune/xperience10m_cosmos3_super_training_readiness_metadata_a100_20260609/training_readiness.json", "omni_finetune/xperience10m_cosmos3_super_training_readiness_metadata_a100_20260609/RUN_REPORT.md", "omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/training_contract_audit.json", "omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/RUN_REPORT.md", "omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/packer_summary.json", "omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/RUN_REPORT.md", "omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/verified_result_summary.json", "omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/PUBLIC_RESULT_SUMMARY.md", "omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", "omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/RUN_REPORT.md", ] DOC_FILES = [ "ARTIFACT_GUIDE.md", "OMNI_MODEL_EXTENSION_CONTRACT.md", "QUALITY_GATES.md", "EVALUATION_PROTOCOL.md", "FIGURE_INDEX.md", "FOUNDATION_MODEL_PLAN.md", "ADDITIONAL_DEVELOPMENT_DIRECTIONS.md", "PROJECT_BRIEF.md", "RENDERED_SITE_CHECK.md", "RESEARCH_ROADMAP.md", "PROJECT_STATUS.md", "REPRODUCIBILITY.md", "TASK_SUITE_ENHANCEMENT_128.md", "PUBLIC_SURFACE_QA.md", "RESEARCH_TAKEAWAYS.md", "SOURCE_ALIGNMENT_AUDIT.md", "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md", ] def sha256(path: Path) -> str: digest = hashlib.sha256() with path.open("rb") as handle: for chunk in iter(lambda: handle.read(1024 * 1024), b""): digest.update(chunk) return digest.hexdigest() def display_path(path: Path, hf_root: Path) -> str: resolved = path.resolve() bases = [ ("hf_space", hf_root / "space"), ("hf_artifacts", hf_root / "artifacts"), ("hf_model", hf_root / "model"), ("repo", ROOT), ("hf_publish", hf_root), ] for label, base in bases: try: return f"{label}:{resolved.relative_to(base.resolve()).as_posix()}" except ValueError: continue return path.name def file_record(path: Path, hf_root: Path) -> dict: record = { "path": display_path(path, hf_root), "exists": path.exists(), } if path.exists() and path.is_file(): record["bytes"] = path.stat().st_size record["sha256"] = sha256(path) else: record["bytes"] = 0 record["sha256"] = None return record def verified_public_result_files() -> list[str]: """Return every public-safe file from verified model packages. Verified packages are already sanitized by the package audit; mirroring the whole package prevents final model results from being silently omitted when a new run lands under results/omni_finetune/verified_public. """ verified_root = ROOT / "results/omni_finetune/verified_public" if not verified_root.exists(): return [] files: list[str] = [] for path in verified_root.rglob("*"): if not path.is_file(): continue files.append(path.relative_to(ROOT / "results").as_posix()) return sorted(files) def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict: local = file_record(local_path, hf_root) mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()} failures = [] if not local["exists"]: failures.append({"surface": "repo", "kind": "missing", "path": local["path"]}) for surface, record in mirror_records.items(): if not record["exists"]: failures.append({"surface": surface, "kind": "missing", "path": record["path"]}) continue if local["exists"] and record["sha256"] != local["sha256"]: failures.append( { "surface": surface, "kind": "hash_mismatch", "path": record["path"], "expected_sha256": local["sha256"], "actual_sha256": record["sha256"], } ) return { "name": name, "status": "pass" if not failures else "fail", "local": local, "mirrors": mirror_records, "failures": failures, } def build_report(hf_root: Path) -> dict: groups = [] for filename in DATA_FILES: groups.append( parity_group( f"data/{filename}", ROOT / "docs/data" / filename, { "hf_space": hf_root / "space/data" / filename, "hf_artifacts_data": hf_root / "artifacts/data" / filename, "hf_artifacts": hf_root / "artifacts/docs/data" / filename, "hf_model_data": hf_root / "model/data" / filename, "hf_model_docs_data": hf_root / "model/docs/data" / filename, "hf_model": hf_root / "model/metrics" / filename, }, hf_root, ) ) for filename in ASSET_FILES: groups.append( parity_group( f"assets/{filename}", ROOT / "docs/assets" / filename, { "hf_space": hf_root / "space/assets" / filename, "hf_artifacts_docs": hf_root / "artifacts/docs/assets" / filename, "hf_artifacts_card": hf_root / "artifacts/assets" / filename, "hf_model": hf_root / "model/assets" / filename, }, hf_root, ) ) for filename in SCRIPT_FILES: groups.append( parity_group( f"scripts/{filename}", ROOT / "scripts" / filename, { "hf_artifacts": hf_root / "artifacts/scripts" / filename, "hf_model": hf_root / "model/scripts" / filename, }, hf_root, ) ) for filename in WEBSITE_FILES: groups.append( parity_group( f"website/{filename}", ROOT / "docs" / filename, { "hf_space": hf_root / "space" / filename, "hf_artifacts_root": hf_root / "artifacts" / filename, "hf_artifacts_docs": hf_root / "artifacts/docs" / filename, "hf_model": hf_root / "model" / filename, "hf_model_docs": hf_root / "model/docs" / filename, }, hf_root, ) ) result_files = sorted(set(RESULT_FILES) | set(verified_public_result_files())) for filename in result_files: groups.append( parity_group( f"results/{filename}", ROOT / "results" / filename, { "hf_space": hf_root / "space/results" / filename, "hf_artifacts": hf_root / "artifacts/results" / filename, "hf_model": hf_root / "model/results" / filename, }, hf_root, ) ) for filename in DOC_FILES: groups.append( parity_group( f"docs/{filename}", ROOT / filename, { "hf_space": hf_root / "space" / filename, "hf_artifacts": hf_root / "artifacts" / filename, "hf_model": hf_root / "model" / filename, }, hf_root, ) ) failures = [ {"group": group["name"], **failure} for group in groups for failure in group["failures"] ] by_surface: dict[str, int] = {} for failure in failures: by_surface[failure["surface"]] = by_surface.get(failure["surface"], 0) + 1 return { "status": "pass" if not failures else "fail", "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"), "hf_root": "hf_publish", "summary": { "group_count": len(groups), "failure_count": len(failures), "failures_by_surface": by_surface, }, "checks": [ { "name": "repo_hf_space_artifact_model_data_parity", "status": "pass" if not any(failure["group"].startswith("data/") for failure in failures) else "fail", }, { "name": "repo_hf_visual_asset_parity", "status": "pass" if not any(failure["group"].startswith("assets/") for failure in failures) else "fail", }, { "name": "repo_hf_validator_script_parity", "status": "pass" if not any(failure["group"].startswith("scripts/") for failure in failures) else "fail", }, { "name": "repo_hf_website_html_parity", "status": "pass" if not any(failure["group"].startswith("website/") for failure in failures) else "fail", }, { "name": "repo_hf_diagnostic_result_parity", "status": "pass" if not any(failure["group"].startswith("results/") for failure in failures) else "fail", }, { "name": "repo_hf_quality_doc_parity", "status": "pass" if not any(failure["group"].startswith("docs/") for failure in failures) else "fail", }, ], "groups": groups, "failures": failures, } def main() -> int: parser = argparse.ArgumentParser() parser.add_argument("--hf-root", type=Path, default=DEFAULT_HF_ROOT) parser.add_argument("--output", type=Path, default=DEFAULT_OUTPUT) args = parser.parse_args() report = build_report(args.hf_root.resolve()) args.output.parent.mkdir(parents=True, exist_ok=True) args.output.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8") print(f"{report['status'].upper()}: wrote {args.output}") if report["status"] != "pass": for failure in report["failures"][:40]: print(f"- {failure['group']}: {failure['surface']} {failure['kind']} {failure['path']}") if len(report["failures"]) > 40: print(f"- ... {len(report['failures']) - 40} more failures") return 1 return 0 if __name__ == "__main__": raise SystemExit(main())