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5ff230eafd
* feat(uploads): inject document outline into agent context for converted files
Extract headings from converted .md files and inject them into the
<uploaded_files> context block so the agent can navigate large documents
by line number before reading.
- Add `extract_outline()` to `file_conversion.py`: recognises standard
Markdown headings (#/##/###) and SEC-style bold structural headings
(**ITEM N. BUSINESS**, **PART II**); caps at 50 entries; excludes
cover-page boilerplate (WASHINGTON DC, CURRENT REPORT, SIGNATURES)
- Add `_extract_outline_for_file()` helper in `uploads_middleware.py`:
looks for a sibling `.md` file produced by the conversion pipeline
- Update `UploadsMiddleware._create_files_message()` to render the outline
under each file entry with `L{line}: {title}` format and a `read_file`
prompt for range-based reading
- Tests: 10 new tests for `extract_outline()`, 4 new tests for outline
injection in `UploadsMiddleware`; existing test updated for new `outline`
field in `uploaded_files` state
Partially addresses #1647 (agent ignores uploaded files).
* fix(uploads): stream outline file reads and strip inline bold from heading titles
- Switch extract_outline() from read_text().splitlines() to open()+line iteration
so large converted documents are not loaded into memory on every agent turn;
exits as soon as MAX_OUTLINE_ENTRIES is reached (Copilot suggestion)
- Strip **...** wrapper from standard Markdown heading titles before appending
to outline so agent context stays clean (e.g. "## **Overview**" → "Overview")
(Copilot suggestion)
- Remove unused pathlib.Path import and fix import sort order in test_file_conversion.py
to satisfy ruff CI lint
* fix(uploads): show truncation hint when outline exceeds MAX_OUTLINE_ENTRIES
When extract_outline() hits the cap it now appends a sentinel entry
{"truncated": True} instead of silently dropping the rest of the headings.
UploadsMiddleware reads the sentinel and renders a hint line:
... (showing first 50 headings; use `read_file` to explore further)
Without this the agent had no way to know the outline was incomplete and
would treat the first 50 headings as the full document structure.
* fix(uploads): fall back to configurable.thread_id when runtime.context lacks thread_id
runtime.context does not always carry thread_id (depends on LangGraph
invocation path). ThreadDataMiddleware already falls back to
get_config().configurable.thread_id — apply the same pattern so
UploadsMiddleware can resolve the uploads directory and attach outlines
in all invocation paths.
* style: apply ruff format
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
136 lines
4.8 KiB
Python
136 lines
4.8 KiB
Python
"""File conversion utilities.
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Converts document files (PDF, PPT, Excel, Word) to Markdown using markitdown.
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No FastAPI or HTTP dependencies — pure utility functions.
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"""
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import logging
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import re
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from pathlib import Path
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logger = logging.getLogger(__name__)
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# File extensions that should be converted to markdown
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CONVERTIBLE_EXTENSIONS = {
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".pdf",
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".ppt",
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".pptx",
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".xls",
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".xlsx",
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".doc",
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".docx",
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}
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async def convert_file_to_markdown(file_path: Path) -> Path | None:
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"""Convert a file to markdown using markitdown.
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Args:
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file_path: Path to the file to convert.
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Returns:
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Path to the markdown file if conversion was successful, None otherwise.
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"""
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try:
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from markitdown import MarkItDown
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md = MarkItDown()
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result = md.convert(str(file_path))
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# Save as .md file with same name
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md_path = file_path.with_suffix(".md")
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md_path.write_text(result.text_content, encoding="utf-8")
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logger.info(f"Converted {file_path.name} to markdown: {md_path.name}")
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return md_path
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except Exception as e:
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logger.error(f"Failed to convert {file_path.name} to markdown: {e}")
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return None
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# Regex for bold-only lines that look like section headings.
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# Targets SEC filing structural headings that pymupdf4llm renders as **bold**
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# rather than # Markdown headings (because they use same font size as body text,
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# distinguished only by bold+caps formatting).
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#
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# Pattern requires ALL of:
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# 1. Entire line is a single **...** block (no surrounding prose)
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# 2. Starts with a recognised structural keyword:
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# - ITEM / PART / SECTION (with optional number/letter after)
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# - SCHEDULE, EXHIBIT, APPENDIX, ANNEX, CHAPTER
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# All-caps addresses, boilerplate ("CURRENT REPORT", "SIGNATURES",
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# "WASHINGTON, DC 20549") do NOT start with these keywords and are excluded.
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#
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# Chinese headings (第三节...) are already captured as standard # headings
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# by pymupdf4llm, so they don't need this pattern.
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_BOLD_HEADING_RE = re.compile(r"^\*\*((ITEM|PART|SECTION|SCHEDULE|EXHIBIT|APPENDIX|ANNEX|CHAPTER)\b[A-Z0-9 .,\-]*)\*\*\s*$")
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# Maximum number of outline entries injected into the agent context.
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# Keeps prompt size bounded even for very long documents.
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MAX_OUTLINE_ENTRIES = 50
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def extract_outline(md_path: Path) -> list[dict]:
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"""Extract document outline (headings) from a Markdown file.
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Recognises two heading styles produced by pymupdf4llm:
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1. Standard Markdown headings: lines starting with one or more '#'
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2. Bold-only structural headings: **ITEM 1. BUSINESS**, **PART II**, etc.
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(SEC filings use bold+caps for section headings with the same font size
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as body text, so pymupdf4llm cannot promote them to # headings)
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Args:
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md_path: Path to the .md file.
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Returns:
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List of dicts with keys: title (str), line (int, 1-based).
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When the outline is truncated at MAX_OUTLINE_ENTRIES, a sentinel entry
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``{"truncated": True}`` is appended as the last element so callers can
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render a "showing first N headings" hint without re-scanning the file.
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Returns an empty list if the file cannot be read or has no headings.
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"""
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outline: list[dict] = []
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try:
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with md_path.open(encoding="utf-8") as f:
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for lineno, line in enumerate(f, 1):
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stripped = line.strip()
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if not stripped:
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continue
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# Style 1: standard Markdown heading
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if stripped.startswith("#"):
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title = stripped.lstrip("#").strip()
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# Strip any inline **...** wrapping (e.g. "## **Overview**" → "Overview")
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if title:
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if m2 := re.fullmatch(r"\*\*(.+?)\*\*", title):
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title = m2.group(1).strip()
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outline.append({"title": title, "line": lineno})
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# Style 2: bold-only line (entire line is **...**)
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elif m := _BOLD_HEADING_RE.match(stripped):
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title = m.group(1).strip()
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if title:
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outline.append({"title": title, "line": lineno})
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if len(outline) >= MAX_OUTLINE_ENTRIES:
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outline.append({"truncated": True})
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break
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except Exception:
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return []
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return outline
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def _get_pdf_converter() -> str:
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"""Read pdf_converter setting from app config, defaulting to 'auto'."""
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try:
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from deerflow.config.app_config import get_app_config
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cfg = get_app_config()
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uploads_cfg = getattr(cfg, "uploads", None)
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if uploads_cfg is not None:
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return str(getattr(uploads_cfg, "pdf_converter", "auto"))
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except Exception:
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pass
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return "auto"
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