Markers are stored per (page, slot), parallel to the discard flags, so adding or removing a cut keeps them aligned with their slices. On a split they stay with the upper half: a marker sits on a printed symbol and nothing can say which side that symbol landed on, so predictable beats clever. Jump targets are chosen by clicking the slice rather than from the thumbnail strip the plan called for. Less code, and it reads the score instead of a list of thumbnails - which is what you want when hunting for the Coda sign. Any page; PageUp/PageDown while picking. Export resolves (page, slot) to the bundle's array index, the only cross-reference the format has. A jump whose target was discarded or re-cut away is dropped rather than exported dangling, since noteman would have nothing to resolve it to. tests/test_markers.py covers the enum size - that is the coupling between two repos - along with cut-edit alignment, index resolution, the dangling-target drop, and round-trips through both the project file and a real bundle. Closes #28 Closes #29 Closes #30
100 lines
3.2 KiB
Python
100 lines
3.2 KiB
Python
"""Bundle export — the only channel to noteman (ADR 0001).
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song.zip
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song.json
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original.pdf
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001.webp 002.webp …
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Array order in `song.json` *is* slice order: one ordering, not two. Markers
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nest inside the slice they sit on, so an index appears in exactly one place —
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a jump source's `destination`.
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"""
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from __future__ import annotations
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import json
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import zipfile
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from pathlib import Path
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from .pdf import Source
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from .project import Project
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from .render import render_song
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FORMAT_VERSION = 1
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METADATA_FIELDS = (
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"title",
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"subtitle",
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"composer",
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"original_artist",
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"arranger",
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"lyricist",
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"translator",
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"voices",
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)
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def song_json(project: Project, files: list[str]) -> dict:
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payload: dict = {"v": FORMAT_VERSION}
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for field in METADATA_FIELDS:
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value = project.metadata.get(field)
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if value:
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payload[field] = value
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kept = project.kept_slices()
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# Markers reference slices by (page, slot) while editing, because that is
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# what survives adding and removing cuts. In the bundle they become the
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# array index, which is the only cross-reference the format has.
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index_of = {position: i for i, position in enumerate(kept)}
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slices: list[dict] = []
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for name, (page, slot) in zip(files, kept):
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entry: dict = {"file": name}
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markers = []
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for marker in project.pages[page].markers[slot]:
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item: dict = {"type": marker.type}
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if marker.label:
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item["label"] = marker.label
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if marker.destination is not None:
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target = index_of.get(tuple(marker.destination))
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# A jump whose target was discarded or re-cut away is dropped
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# rather than exported dangling: noteman would have nothing to
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# resolve it to.
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if target is None:
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continue
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item["destination"] = target
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markers.append(item)
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if markers:
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entry["markers"] = markers
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slices.append(entry)
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payload["slices"] = slices
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return payload
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def write(project: Project, source: Source, path: Path) -> Path:
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"""Render the song and write the bundle. Returns the zip path."""
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images = render_song(project, source)
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names = [f"{i + 1:03}.webp" for i in range(len(images))]
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path = Path(path)
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path.parent.mkdir(parents=True, exist_ok=True)
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# ZIP_STORED for the images: WebP is already compressed, so deflating it
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# only costs time. The JSON is small enough not to care.
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with zipfile.ZipFile(path, "w") as zf:
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zf.writestr(
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"song.json",
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json.dumps(song_json(project, names), indent=2, ensure_ascii=False),
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zipfile.ZIP_DEFLATED,
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)
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if project.source.exists():
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zf.write(project.source, "original.pdf")
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for name, data in zip(names, images):
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zf.writestr(name, data, zipfile.ZIP_STORED)
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# The project is spent once its song has been exported: the next edit
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# session starts fresh from detection rather than resuming these decisions.
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# Recorded here so no caller can forget it.
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project.exported = True
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project.save()
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return path
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