Buckets:
| """Project an existing fixed ThinkMorph split onto a newly encoded cache.""" | |
| from __future__ import annotations | |
| import json | |
| import shutil | |
| import tempfile | |
| from collections import Counter | |
| from pathlib import Path | |
| from .split_validation import EXPECTED_COUNTS, file_hash | |
| def _rows(path: Path) -> list[dict]: | |
| return [json.loads(line) for line in path.read_text().splitlines() if line] | |
| def reuse_split_view( | |
| source_cache: Path, | |
| assignment_view: Path, | |
| output: Path, | |
| *, | |
| expected_task_counts: dict[str, int] = EXPECTED_COUNTS, | |
| expected_split_counts: dict[str, int] = { | |
| "train": 23741, | |
| "validation": 1249, | |
| }, | |
| ) -> dict: | |
| source_cache, assignment_view, output = map( | |
| lambda path: path.resolve(), (source_cache, assignment_view, output) | |
| ) | |
| if (output / "READY").is_file(): | |
| report = json.loads((output / "SPLIT.json").read_text()) | |
| if file_hash(output / "manifest.jsonl") != report["manifest_sha256"]: | |
| raise ValueError("existing projected split manifest hash differs") | |
| return report | |
| if output.exists(): | |
| raise FileExistsError(f"incomplete projected split exists: {output}") | |
| for root in (source_cache, assignment_view): | |
| if not (root / "READY").is_file(): | |
| raise ValueError(f"cache/view is incomplete: {root}") | |
| source_manifest = source_cache / "manifest.jsonl" | |
| assignment_manifest = assignment_view / "manifest.jsonl" | |
| source_rows = _rows(source_manifest) | |
| assignment_rows = { | |
| row["sample_id"]: row for row in _rows(assignment_manifest) | |
| } | |
| if len(source_rows) != len(assignment_rows) or { | |
| row["sample_id"] for row in source_rows | |
| } != set(assignment_rows): | |
| raise ValueError("new cache and assignment view have different sample IDs") | |
| if dict(Counter(row["config"] for row in source_rows)) != expected_task_counts: | |
| raise ValueError("new cache task counts differ") | |
| if any(row["split"] != "train" for row in source_rows): | |
| raise ValueError("projected view requires an all-train source cache") | |
| projected = [] | |
| for source in source_rows: | |
| assignment = assignment_rows[source["sample_id"]] | |
| for key in ("config", "source"): | |
| if source[key] != assignment[key]: | |
| raise ValueError( | |
| f"split provenance differs for {source['sample_id']}: {key}" | |
| ) | |
| projected.append( | |
| { | |
| **source, | |
| "source_group_id": source["group_id"], | |
| "group_id": assignment["group_id"], | |
| "split": assignment["split"], | |
| "split_score": assignment["split_score"], | |
| "cache_shard": str( | |
| (source_cache / source["cache_shard"]).resolve() | |
| ), | |
| } | |
| ) | |
| counts = dict(Counter(row["split"] for row in projected)) | |
| if counts != expected_split_counts: | |
| raise ValueError(f"projected split counts differ: {counts}") | |
| output.parent.mkdir(parents=True, exist_ok=True) | |
| with tempfile.TemporaryDirectory(prefix=".grid16-idval5-", dir=output.parent) as temporary: | |
| staging = Path(temporary) / "view" | |
| staging.mkdir() | |
| with (staging / "manifest.jsonl").open("w") as stream: | |
| for row in projected: | |
| stream.write(json.dumps(row, ensure_ascii=False) + "\n") | |
| shutil.copyfile( | |
| assignment_view / "image_groups.jsonl", | |
| staging / "image_groups.jsonl", | |
| ) | |
| config = json.loads((source_cache / "config.json").read_text()) | |
| config["split_policy"] = "reuse_fixed_assignment_v1" | |
| config["development_view"] = { | |
| "source_cache": str(source_cache), | |
| "assignment_view": str(assignment_view), | |
| "validation_fraction": 0.05, | |
| } | |
| report = { | |
| "format": "thinkmorph_reused_id_validation_v1", | |
| "rows": len(projected), | |
| "counts": counts, | |
| "source_cache": str(source_cache), | |
| "source_manifest_sha256": file_hash(source_manifest), | |
| "assignment_view": str(assignment_view), | |
| "assignment_manifest_sha256": file_hash(assignment_manifest), | |
| "image_groups_sha256": file_hash(staging / "image_groups.jsonl"), | |
| "assignment_preserved": True, | |
| "sample_id_and_source_provenance_preserved": True, | |
| } | |
| report["manifest_sha256"] = file_hash(staging / "manifest.jsonl") | |
| for filename, value in (("config.json", config), ("SPLIT.json", report)): | |
| (staging / filename).write_text( | |
| json.dumps(value, ensure_ascii=False, indent=2) + "\n" | |
| ) | |
| (staging / "READY").write_text("complete\n") | |
| staging.rename(output) | |
| return report | |
| __all__ = ["reuse_split_view"] | |
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