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Sleeping
| """Shapes of the files the ingestion writes.""" | |
| from typing import TypedDict | |
| class Page(TypedDict): | |
| """One chapter, as listed in a book's SUMMARY.md.""" | |
| book: str | |
| path: str # relative to the book's source directory, e.g. "ch10-01-syntax.md" | |
| title: str | |
| part: str | None # the mdBook part heading above it | |
| url: str # published HTML, without a fragment | |
| class ManifestBook(TypedDict): | |
| title: str | |
| repo: str | |
| sha: str | |
| base_url: str | |
| license: str | |
| excluded_parts: list[str] | |
| page_count: int | |
| pages: list[Page] | |
| class ChunkMetadata(TypedDict): | |
| book: str | |
| book_title: str | |
| part: str | |
| chapter: str | |
| heading_path: list[str] | |
| path: str | |
| url: str # published HTML, with the section fragment when there is one | |
| has_code: bool | |
| code_tags: list[str] | |
| class Chunk(TypedDict): | |
| id: str | |
| text: str | |
| metadata: ChunkMetadata | |
| class EvalRow(TypedDict): | |
| """One question/chunk pair in `eval/dataset.json`. | |
| `chunk_id` is the chunk the question was generated from, and what the retriever | |
| is scored against. | |
| """ | |
| question: str | |
| chunk_id: str | |
| book: str | |