Files
folkugat-web/folkugat_web/services/lilypond.py
2025-04-05 23:09:20 +02:00

90 lines
3.2 KiB
Python

import asyncio
import dataclasses
import os
import re
from pathlib import Path
from typing import Literal
import aiofiles
from folkugat_web.model.lilypond import (LyricsLine, LyricsParagraph,
LyricsText, RenderError)
from folkugat_web.model.temes import Tema
from folkugat_web.services import files as files_service
from folkugat_web.templates import templates
from folkugat_web.utils import batched
SCORE_BEGINNING = "% --- SCORE BEGINNING --- %"
RenderFormat = Literal["png"] | Literal["pdf"]
def source_to_single_score(source: str, tema: Tema) -> str:
if tema.lyrics:
lyrics_text = build_lyrics(tema.lyrics[0].content)
else:
lyrics_text = None
print("AAAAAA")
print(lyrics_text)
print("AAAAAA")
return templates.get_template("lilypond/single_score.ly").render(
score_beginning=SCORE_BEGINNING,
score_source=source,
tema=tema,
lyrics_text=lyrics_text,
)
async def render(source: str, fmt: RenderFormat, output_filename: Path | None = None) -> tuple[Path | None, list[RenderError]]:
input_filename = files_service.create_tmp_filename(extension=".ly")
async with aiofiles.open(input_filename, "w") as f:
_ = await f.write(source)
output_filename = output_filename or files_service.create_tmp_filename()
if fmt == "png":
proc = await asyncio.create_subprocess_exec(
"lilypond", "--png", "-o", output_filename, input_filename,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
else:
proc = await asyncio.create_subprocess_exec(
"lilypond", "-o", output_filename, input_filename,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
_stdout, stderr = await proc.communicate()
if proc.returncode:
esc_input_filename = re.escape(str(input_filename))
error_re = re.compile(rf"{esc_input_filename}:(?P<line>\d+):(?P<pos>\d+): error: (?P<error>.*)$")
error_matches = filter(None, map(error_re.match, stderr.decode("utf-8").splitlines()))
errors = map(lambda m: RenderError.from_dict(m.groupdict()), error_matches)
line_offset = source.splitlines().index(SCORE_BEGINNING) + 1
errors_offset = [dataclasses.replace(e, line=e.line - line_offset) for e in errors if e.line > line_offset]
return None, errors_offset
if fmt == "png":
# Check if the output generated multiple pages
pages = sorted(output_filename.parent.rglob(f"{output_filename.name}*.png"))
if len(pages) > 1:
output_filename = pages[0]
for page in pages[1:]:
os.remove(page)
else:
output_filename = output_filename.with_suffix(".png")
elif fmt == "pdf":
output_filename = output_filename.with_suffix(".pdf")
return output_filename, []
def build_lyrics(text: str, max_cols: int = 3) -> LyricsText:
paragraphs = [LyricsParagraph(lines=par_str.splitlines()) for par_str in text.split("\n\n") if par_str]
print(list(batched(paragraphs, max_cols)))
return LyricsText(lines=[
LyricsLine(paragraphs=list(line_pars))
for line_pars in batched(paragraphs, max_cols)
])