mirror of
https://github.com/VectifyAI/PageIndex.git
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Engineering-quality cleanups from the SDK review (no behavior change):
- Return-type discoverability: add pageindex/types.py with TypedDicts
(DocumentInfo, DocumentDetail, PageContent) and annotate Collection /
Backend methods with them; add docstrings to every public Collection
method (including the get_page_content `pages` spec). Exported from the
package. Zero runtime cost — these are plain dicts.
- Backend protocol as a real contract:
* query_stream is an async generator, so the protocol now declares it
as `def ... -> AsyncIterator[QueryEvent]` (not `async def`, which
typed it as a coroutine and never matched the implementations).
* custom-parser support is expressed as a runtime_checkable
SupportsParserRegistration capability protocol; the client uses
isinstance(...) instead of hasattr(...) duck-typing.
- Parser layering: move count_tokens into a leaf module pageindex/tokens.py
so parser/* imports it from there instead of reaching back into
pageindex.index (a reverse dependency). index.utils re-exports it for
backward compatibility.
Adds tests/test_architecture.py enforcing: parser never imports index,
count_tokens is a single shared leaf, the capability protocol works,
both backends satisfy Backend, and the TypedDicts are exported.
Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
32 lines
959 B
Python
32 lines
959 B
Python
# pageindex/types.py
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# TypedDicts describing the plain-dict shapes the SDK returns, so callers get
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# key/field discovery in their IDE without any runtime cost (these are dicts).
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from __future__ import annotations
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from typing import Any, TypedDict
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class DocumentInfo(TypedDict):
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"""A document as returned by ``list_documents()``."""
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doc_id: str
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doc_name: str
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doc_description: str
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doc_type: str
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class DocumentDetail(DocumentInfo, total=False):
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"""A document with its tree, as returned by ``get_document()``.
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``structure`` is always present; ``file_path`` is local-only and
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``status`` is cloud-only, hence total=False.
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"""
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structure: list[dict[str, Any]]
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file_path: str # local backend only
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status: str # cloud backend only
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class PageContent(TypedDict, total=False):
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"""One page of content, as returned by ``get_page_content()``."""
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page: int
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content: str
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images: list[dict[str, Any]]
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