Promote main to staging: explore tables/images and GREP term index - #429
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- Introduced `FinishRefResolution` class to encapsulate resolved and dropped references during the finish resolution process. - Updated `resolve_finish_refs` to return an instance of `FinishRefResolution`, providing detailed feedback on reference handling. - Implemented `select_episode_refs` to manage fallback logic for episode references, ensuring explicit empty lists are respected. - Enhanced tests to cover new functionality, including scenarios for omitted and explicit references. - Refactored related components to integrate the new reference resolution structure, improving clarity and maintainability.
…dling - Added `beautifulsoup4` as a dependency for HTML parsing. - Introduced new constants for large table handling and focus radius in settings. - Enhanced `cursor_execute_content` to include HTTPS image parts in responses. - Updated `recall` and `read` tools to support rendering of images and tables, including handling of large tables and their focus windows. - Improved tests to validate new functionalities, including image handling and table queries.
- Removed the focus radius setting and related logic from the table handling process. - Updated the `load_table_html` function to raise a `TableDownloadError` on download failures, allowing for better error handling. - Adjusted the `read` and `query_table` functions to handle table download errors gracefully, ensuring that body content is still returned even if a table fails to load. - Enhanced tests to cover scenarios for table download failures and ensure proper error messages are returned. - Refactored related components to improve clarity and maintainability in table processing.
Declare download_raw_to_temp on the storage protocol, narrow BeautifulSoup tags, and count cited finish refs so make check stays green. Co-authored-by: Cursor <cursoragent@cursor.com>
feat(retrieval): explore tables/images and align GREP to term index
![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
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| revision: str = "1a2b3c4d5e6f" |
| from alembic import op | ||
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| revision: str = "1a2b3c4d5e6f" | ||
| down_revision: str | Sequence[str] | None = "0b1c2d3e4f5a" |
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| revision: str = "1a2b3c4d5e6f" | ||
| down_revision: str | Sequence[str] | None = "0b1c2d3e4f5a" | ||
| branch_labels: Sequence[str] | None = None |
| revision: str = "1a2b3c4d5e6f" | ||
| down_revision: str | Sequence[str] | None = "0b1c2d3e4f5a" | ||
| branch_labels: Sequence[str] | None = None | ||
| depends_on: Sequence[str] | None = None |
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Summary
Test plan
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