| |
| """Build a compact source-of-truth artifact index for reviewers. |
| |
| The index is intentionally selective. It lists the files that prove the public |
| claims, not every prediction array or checkpoint in the repository. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import hashlib |
| import json |
| from datetime import datetime, timezone |
| from pathlib import Path |
|
|
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| OUTPUT = ROOT / "docs/data/artifact_index.json" |
|
|
| ARTIFACTS = [ |
| { |
| "id": "evidence_contract", |
| "title": "Evidence contract", |
| "path": "EVIDENCE_CONTRACT.md", |
| "kind": "claim_boundary", |
| "surface": "repo", |
| "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.", |
| }, |
| { |
| "id": "reviewer_packet", |
| "title": "Reviewer packet", |
| "path": "docs/data/reviewer_packet.json", |
| "kind": "review_path", |
| "surface": "website_hf", |
| "proves": "Gives a short audit path with scope status and public surfaces.", |
| }, |
| { |
| "id": "artifact_index_builder", |
| "title": "Artifact index builder", |
| "path": "scripts/build_artifact_index.py", |
| "kind": "review_path", |
| "surface": "repo_hf", |
| "proves": "Generates the selective proof-artifact catalog from local files.", |
| }, |
| { |
| "id": "publication_audit", |
| "title": "Publication audit", |
| "path": "docs/data/publication_audit.json", |
| "kind": "hygiene_report", |
| "surface": "website_hf", |
| "volatile": True, |
| "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.", |
| }, |
| { |
| "id": "project_manifest", |
| "title": "Project manifest", |
| "path": "docs/data/project_manifest.json", |
| "kind": "metadata", |
| "surface": "website_hf", |
| "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.", |
| }, |
| { |
| "id": "task_summary", |
| "title": "12-task summary report", |
| "path": "results/episode_task_suite/summary_report.json", |
| "kind": "metrics_source", |
| "surface": "repo_hf", |
| "proves": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.", |
| }, |
| { |
| "id": "website_metrics_bundle", |
| "title": "Website metrics bundle", |
| "path": "docs/data/summary_metrics.json", |
| "kind": "website_data", |
| "surface": "website_hf", |
| "proves": "Mirrors task metrics for the static dashboard.", |
| }, |
| { |
| "id": "feature_manifest", |
| "title": "Feature manifest", |
| "path": "results/episode_task_suite/feature_manifest.json", |
| "kind": "data_contract", |
| "surface": "repo_hf", |
| "proves": "Maps the 8,378-dimensional window vector back to source feature blocks.", |
| }, |
| { |
| "id": "available_modalities", |
| "title": "Available modalities", |
| "path": "results/episode_task_suite/available_modalities.json", |
| "kind": "data_contract", |
| "surface": "repo_hf", |
| "proves": "Documents which sample modalities entered the current extracted feature contract.", |
| }, |
| { |
| "id": "windows_table", |
| "title": "Aligned windows table", |
| "path": "results/episode_task_suite/windows.csv", |
| "kind": "data_contract", |
| "surface": "repo_hf", |
| "proves": "Lists the 1,161 aligned windows and their frame/action/subtask labels.", |
| }, |
| { |
| "id": "neural_mlp_directory", |
| "title": "Neural MLP task-head results", |
| "path": "results/episode_task_suite/neural_mlp", |
| "kind": "result_directory", |
| "surface": "repo_hf_model", |
| "proves": "Stores matching PyTorch MLP results for the 12 task contracts.", |
| }, |
| { |
| "id": "research_direction_taxonomy", |
| "title": "Research direction taxonomy", |
| "path": "results/episode_task_suite/research_directions/research_direction_taxonomy.json", |
| "kind": "taxonomy", |
| "surface": "repo_hf", |
| "proves": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.", |
| }, |
| { |
| "id": "research_direction_extensions", |
| "title": "Research direction extension probes", |
| "path": "results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json", |
| "kind": "metrics_source", |
| "surface": "repo_hf", |
| "proves": "Stores one coded extension probe per research direction with minimal and neural metrics.", |
| }, |
| { |
| "id": "task_walkthroughs", |
| "title": "Task walkthroughs", |
| "path": "results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md", |
| "kind": "onboarding_doc", |
| "surface": "repo_hf", |
| "proves": "Explains every task with case study, input, process modules, output, and limitation.", |
| }, |
| { |
| "id": "task_suite_infographic", |
| "title": "12-task suite infographic", |
| "path": "docs/assets/task_suite_infographic.png", |
| "kind": "generated_figure", |
| "surface": "website_hf", |
| "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.", |
| }, |
| { |
| "id": "pipeline_figure", |
| "title": "Pipeline figure", |
| "path": "docs/assets/pipeline_diagram.png", |
| "kind": "generated_figure", |
| "surface": "website_hf", |
| "proves": "Shows the raw-episode to artifact pipeline with verified labels.", |
| }, |
| { |
| "id": "architecture_figure", |
| "title": "Architecture figure", |
| "path": "docs/assets/task_architectures.png", |
| "kind": "generated_figure", |
| "surface": "website_hf", |
| "proves": "Shows the shared feature pipeline and minimal/neural head families.", |
| }, |
| { |
| "id": "qwen_data_blocker", |
| "title": "Qwen3-Omni data blocker report", |
| "path": "results/omni_finetune/DATA_BLOCKER_REPORT.md", |
| "kind": "blocker_report", |
| "surface": "repo_hf", |
| "proves": "Documents why no 32-episode Qwen3-Omni result is claimed yet.", |
| }, |
| { |
| "id": "a100_relay_status", |
| "title": "A100 relay status", |
| "path": "results/omni_finetune/A100_HF_RELAY_STATUS.md", |
| "kind": "scaleup_status", |
| "surface": "repo_hf", |
| "proves": "Documents the pending A100-to-H20 data relay and 32-session pilot selection.", |
| }, |
| { |
| "id": "citation", |
| "title": "Citation metadata", |
| "path": "CITATION.cff", |
| "kind": "citation", |
| "surface": "repo_hf", |
| "proves": "Makes the project externally citable.", |
| }, |
| { |
| "id": "license", |
| "title": "License and data terms", |
| "path": "LICENSE", |
| "kind": "license", |
| "surface": "repo_hf", |
| "proves": "Separates MIT-scoped code from original Xperience-10M data terms.", |
| }, |
| ] |
|
|
|
|
| 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 directory_stats(path: Path) -> dict: |
| files = [item for item in path.rglob("*") if item.is_file()] |
| return { |
| "file_count": len(files), |
| "bytes": sum(item.stat().st_size for item in files), |
| } |
|
|
|
|
| def artifact_entry(item: dict) -> dict: |
| path = ROOT / item["path"] |
| entry = { |
| **item, |
| "exists": path.exists(), |
| } |
| if path.is_file(): |
| entry["bytes"] = path.stat().st_size |
| if item.get("volatile"): |
| entry["hash_policy"] = "existence_and_size_only" |
| else: |
| entry["sha256"] = sha256(path) |
| elif path.is_dir(): |
| entry.update(directory_stats(path)) |
| else: |
| entry.update({"bytes": 0}) |
| return entry |
|
|
|
|
| def main() -> int: |
| entries = [artifact_entry(item) for item in ARTIFACTS] |
| missing = [entry["path"] for entry in entries if not entry["exists"]] |
| by_kind: dict[str, int] = {} |
| for entry in entries: |
| by_kind[entry["kind"]] = by_kind.get(entry["kind"], 0) + 1 |
|
|
| report = { |
| "title": "Ropedia Xperience-10M Task Suite Artifact Index", |
| "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"), |
| "status": "pass" if not missing else "fail", |
| "artifact_count": len(entries), |
| "missing": missing, |
| "by_kind": by_kind, |
| "artifacts": entries, |
| } |
| OUTPUT.parent.mkdir(parents=True, exist_ok=True) |
| OUTPUT.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8") |
| print(f"{report['status'].upper()}: wrote {OUTPUT}") |
| if missing: |
| for path in missing: |
| print(f"- missing: {path}") |
| return 1 |
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|
