Source code for blissoda.tomo.nxtomo.zseries

from __future__ import annotations

from pathlib import Path
from typing import Any

SEQUENCES = frozenset({"tomo:zseries"})



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def matches(processor: Any, entry: Any) -> bool:
    return processor._sequence_name(entry) in SEQUENCES




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def expanded_subscan_plan(processor: Any, entry: Any) -> list[tuple[str | None, int]]:
    return processor._subscan_plan(entry)




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def synthetic_translation(processor: Any, entry: Any, alias_name: str):
    return processor._position_array(entry, alias_name)




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def segment_specs(processor: Any, entry: Any, records: list[dict[str, Any]]):
    return [{"label": None, "pieces": records}]




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def stitched_dataset_stem(processor: Any, bliss_path: str) -> str:
    collection_name = Path(bliss_path).with_suffix("").parent.parent.name
    return f"{collection_name}_stitched"




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def stitched_dataset_dir(processor: Any, bliss_path: str) -> Path:
    processed_path = Path(bliss_path.replace("RAW_DATA", "PROCESSED_DATA")).with_suffix(
        ""
    )
    collection_dir = processed_path.parent.parent
    return collection_dir / stitched_dataset_stem(processor, bliss_path)




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def stitch_manifest_path(processor: Any, bliss_path: str) -> Path:
    dataset_stem = stitched_dataset_stem(processor, bliss_path)
    return (
        stitched_dataset_dir(processor, bliss_path)
        / "workflows"
        / "gallery"
        / f"{dataset_stem}_zseries_stitching.json"
    )