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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

62 行
2.0 KiB
Python

"""Callout block – key idea / common pitfall / summary highlight.
Prompts live in ``deeptutor/book/prompts/{en,zh}/callout.yaml``.
"""
from __future__ import annotations
from typing import Any
from ..models import BlockType, SourceAnchor
from ._llm_writer import llm_text
from ._prompts import get_book_prompt, load_book_prompts
from .base import BlockContext, BlockGenerator
_VARIANT_LABELS = {
"key_idea": ("Key Idea", "核心要点"),
"common_pitfall": ("Watch Out", "常见误区"),
"summary": ("Summary", "小结"),
"tip": ("Tip", "小提示"),
}
class CalloutGenerator(BlockGenerator):
block_type = BlockType.CALLOUT
async def _generate(
self, ctx: BlockContext
) -> tuple[dict[str, Any], list[SourceAnchor], dict[str, Any]]:
params = ctx.block.params
variant = str(params.get("variant") or "key_idea")
labels = _VARIANT_LABELS.get(variant, _VARIANT_LABELS["key_idea"])
label = labels[1] if ctx.language == "zh" else labels[0]
chapter_title = params.get("chapter_title", ctx.chapter.title)
chapter_summary = params.get("chapter_summary", ctx.chapter.summary)
objectives = params.get("objectives") or ctx.chapter.learning_objectives
prompts = load_book_prompts("callout", ctx.language)
none_label = "(无)" if ctx.language == "zh" else "(none)"
user_prompt = get_book_prompt(prompts, "user_template").format(
chapter_title=chapter_title,
chapter_summary=chapter_summary or none_label,
objectives_inline="; ".join(objectives) or none_label,
variant=variant,
label=label,
)
body = await llm_text(
user_prompt=user_prompt,
system_prompt=get_book_prompt(prompts, "system"),
max_tokens=250,
temperature=0.5,
language=ctx.language,
)
return (
{"variant": variant, "label": label, "body": body},
[],
{},
)
__all__ = ["CalloutGenerator"]