fix: track file format version

pixi.toml

@@ -58,6 +58,7 @@ plink2 = "*"
 hirola = "==0.3"
 seqpro = "==0.8.2"
 genoray = "==0.16.0"
+pydantic = ">=2,<3"
 
 [feature.docs.dependencies]
 sphinx = ">=7.4.7"

pyproject.toml

@@ -20,6 +20,7 @@ dependencies = [
     "pysam",
     "pyarrow",
     "pyranges",
+    "pydantic>=2,<3",
     "more-itertools",
     "tqdm",
     "pybigwig",

python/genvarloader/_dataset/_impl.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import json
 from collections.abc import Iterable, Sequence
 from pathlib import Path
 from typing import Callable, Generic, Literal, TypeVar, cast, overload
@@ -34,6 +33,7 @@
 from ._reconstruct import Haps, HapsTracks, Ref, RefTracks, Tracks, TrackType
 from ._reference import Reference
 from ._utils import bed_to_regions, regions_to_bed
+from ._write import Metadata
 
 if TORCH_AVAILABLE:
     import torch
@@ -143,11 +143,11 @@ def open(
 
         # read metadata
         with _py_open(path / "metadata.json") as f:
-            metadata = json.load(f)
-        samples: list[str] = metadata["samples"]
-        contigs: list[str] = metadata["contigs"]
-        ploidy: int | None = metadata.get("ploidy", None)
-        max_jitter: int = metadata.get("max_jitter", 0)
+            metadata = Metadata.model_validate_json(f.read())
+        samples = metadata.samples
+        contigs = metadata.contigs
+        ploidy = metadata.ploidy
+        max_jitter = metadata.max_jitter
 
         # read input regions and generate index map
         bed = pl.read_ipc(path / "input_regions.arrow")
@@ -179,6 +179,7 @@ def open(
                 regions=regions,
                 samples=samples,
                 ploidy=ploidy,
+                version=metadata.version,
                 min_af=min_af,
                 max_af=max_af,
             )

python/genvarloader/_dataset/_reconstruct.py

@@ -23,6 +23,7 @@
 )
 from loguru import logger
 from numpy.typing import NDArray
+from packaging.version import Version
 from seqpro.rag import OFFSET_TYPE, Ragged
 from tqdm.auto import tqdm
 from typing_extensions import assert_never
@@ -210,6 +211,7 @@ def from_path(
         regions: NDArray[np.int32],
         samples: list[str],
         ploidy: int,
+        version: Version | None,
         min_af: float | None = None,
         max_af: float | None = None,
     ) -> Haps[RaggedVariants]:
@@ -246,7 +248,10 @@ def from_path(
             )
         else:
             logger.info("Loading variant data.")
-            variants = _Variants.from_table(path / "genotypes" / "variants.arrow")
+            variants = _Variants.from_table(
+                path / "genotypes" / "variants.arrow",
+                one_based=version is not None and version >= Version("0.18.0"),
+            )
             v_idxs = np.memmap(
                 path / "genotypes" / "variant_idxs.npy",
                 dtype=V_IDX_TYPE,

python/genvarloader/_dataset/_write.py

@@ -2,8 +2,9 @@
 import json
 import shutil
 import warnings
+from importlib.metadata import version
 from pathlib import Path
-from typing import cast
+from typing import Annotated, Any, cast
 
 import awkward as ak
 import numpy as np
@@ -16,6 +17,8 @@
 from more_itertools import mark_ends
 from natsort import natsorted
 from numpy.typing import NDArray
+from packaging.version import Version
+from pydantic import BaseModel, BeforeValidator, PlainSerializer, WithJsonSchema
 from seqpro.rag import OFFSET_TYPE
 from tqdm.auto import tqdm
 
@@ -26,6 +29,27 @@
 from ._utils import splits_sum_le_value
 
 
+class Metadata(BaseModel, arbitrary_types_allowed=True):
+    samples: list[str]
+    contigs: list[str]
+    n_regions: int
+    ploidy: int | None = None
+    max_jitter: int = 0
+    version: (
+        Annotated[
+            Version,
+            BeforeValidator(lambda v: Version(v) if isinstance(v, str) else v),
+            PlainSerializer(lambda v: str(v), return_type=str),
+            WithJsonSchema({"type": "string"}, mode="serialization"),
+        ]
+        | None
+    ) = None
+
+    @property
+    def n_samples(self) -> int:
+        return len(self.samples)
+
+
 def write(
     path: str | Path,
     bed: str | Path | pl.DataFrame,
@@ -77,7 +101,7 @@ def write(
 
     max_mem = parse_memory(max_mem)
 
-    metadata = {}
+    metadata: dict[str, Any] = {"version": Version(version("genvarloader"))}
     path = Path(path)
     if path.exists() and overwrite:
         logger.info("Found existing GVL store, overwriting.")
@@ -147,7 +171,6 @@ def write(
 
     logger.info(f"Using {len(samples)} samples.")
     metadata["samples"] = samples
-    metadata["n_samples"] = len(samples)
     metadata["n_regions"] = gvl_bed.height
 
     if variants is not None:
@@ -172,8 +195,9 @@ def write(
         for bw in bigwigs:
             _write_bigwigs(path, gvl_bed, bw, samples, max_mem)
 
+    _metadata = Metadata(**metadata)
     with open(path / "metadata.json", "w") as f:
-        json.dump(metadata, f)
+        json.dump(_metadata.model_dump(), f)
 
     logger.info("Finished writing.")
     warnings.simplefilter("default")