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fix(uploads): handle split-bold headings and ** ** artefacts in extract_outline (#1838)
* feat(uploads): guide agent to use grep/glob/read_file for uploaded documents Add workflow guidance to the <uploaded_files> context block so the agent knows to use grep and glob (added in #1784) alongside read_file when working with uploaded documents, rather than falling back to web search. This is the final piece of the three-PR PDF agentic search pipeline: - PR1 (#1727): pymupdf4llm converter produces structured Markdown with headings - PR2 (#1738): document outline injected into agent context with line numbers - PR3 (this): agent guided to use outline + grep + read_file workflow * feat(uploads): add file-first priority and fallback guidance to uploaded_files context * fix(uploads): handle split-bold headings and ** ** artefacts in extract_outline - Add _clean_bold_title() to merge adjacent bold spans (** **) produced by pymupdf4llm when bold text crosses span boundaries - Add _SPLIT_BOLD_HEADING_RE (Style 3) to recognise **<num>** **<title>** headings common in academic papers; excludes pure-number table headers and rows with more than 4 bold blocks - When outline is empty, read first 5 non-empty lines of the .md as a content preview and surface a grep hint in the agent context - Update _format_file_entry to render the preview + grep hint instead of silently omitting the outline section - Add 3 new extract_outline tests and 2 new middleware tests (65 total) * fix(uploads): address Copilot review comments on extract_outline regex - Replace ASCII [A-Za-z] guard with negative lookahead to support non-ASCII titles (e.g. **1** **概述**); pure-numeric/punctuation blocks still excluded - Replace .+ with [^*]+ and cap repetition at {0,2} (four blocks total) to keep _SPLIT_BOLD_HEADING_RE linear and avoid ReDoS on malformed input - Remove now-redundant len(blocks) <= 4 code-level check (enforced by regex) - Log debug message with exc_info when preview extraction fails
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@@ -15,20 +15,45 @@ from deerflow.utils.file_conversion import extract_outline
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logger = logging.getLogger(__name__)
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def _extract_outline_for_file(file_path: Path) -> list[dict]:
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"""Return the document outline for *file_path* if a converted .md exists.
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_OUTLINE_PREVIEW_LINES = 5
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def _extract_outline_for_file(file_path: Path) -> tuple[list[dict], list[str]]:
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"""Return the document outline and fallback preview for *file_path*.
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Looks for a sibling ``<stem>.md`` file produced by the upload conversion
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pipeline. Returns an empty list when the file is not a converted document
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or when no headings are found.
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pipeline.
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Returns:
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(outline, preview) where:
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- outline: list of ``{title, line}`` dicts (plus optional sentinel).
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Empty when no headings are found or no .md exists.
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- preview: first few non-empty lines of the .md, used as a content
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anchor when outline is empty so the agent has some context.
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Empty when outline is non-empty (no fallback needed).
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"""
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md_path = file_path.with_suffix(".md")
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if not md_path.is_file():
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return []
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return [], []
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outline = extract_outline(md_path)
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if outline:
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logger.debug("Extracted %d outline entries from %s", len(outline), file_path.name)
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return outline
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return outline, []
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# outline is empty — read the first few non-empty lines as a content preview
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preview: list[str] = []
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try:
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with md_path.open(encoding="utf-8") as f:
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for line in f:
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stripped = line.strip()
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if stripped:
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preview.append(stripped)
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if len(preview) >= _OUTLINE_PREVIEW_LINES:
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break
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except Exception:
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logger.debug("Failed to read preview lines from %s", md_path, exc_info=True)
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return [], preview
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class UploadsMiddlewareState(AgentState):
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@@ -64,13 +89,20 @@ class UploadsMiddleware(AgentMiddleware[UploadsMiddlewareState]):
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lines.append(f" Path: {file['path']}")
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outline = file.get("outline") or []
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if outline:
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truncated = outline[-1].get("truncated", False) if outline else False
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truncated = outline[-1].get("truncated", False)
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visible = [e for e in outline if not e.get("truncated")]
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lines.append(" Document outline (use `read_file` with line ranges to read sections):")
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for entry in visible:
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lines.append(f" L{entry['line']}: {entry['title']}")
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if truncated:
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lines.append(f" ... (showing first {len(visible)} headings; use `read_file` to explore further)")
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else:
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preview = file.get("outline_preview") or []
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if preview:
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lines.append(" No structural headings detected. Document begins with:")
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for text in preview:
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lines.append(f" > {text}")
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lines.append(" Use `grep` to search for keywords (e.g. `grep(pattern='keyword', path='/mnt/user-data/uploads/')`).")
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lines.append("")
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def _create_files_message(self, new_files: list[dict], historical_files: list[dict]) -> str:
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@@ -201,13 +233,15 @@ class UploadsMiddleware(AgentMiddleware[UploadsMiddlewareState]):
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for file_path in sorted(uploads_dir.iterdir()):
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if file_path.is_file() and file_path.name not in new_filenames:
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stat = file_path.stat()
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outline, preview = _extract_outline_for_file(file_path)
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historical_files.append(
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{
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"filename": file_path.name,
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"size": stat.st_size,
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"path": f"/mnt/user-data/uploads/{file_path.name}",
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"extension": file_path.suffix,
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"outline": _extract_outline_for_file(file_path),
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"outline": outline,
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"outline_preview": preview,
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}
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)
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@@ -215,7 +249,9 @@ class UploadsMiddleware(AgentMiddleware[UploadsMiddlewareState]):
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if uploads_dir:
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for file in new_files:
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phys_path = uploads_dir / file["filename"]
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file["outline"] = _extract_outline_for_file(phys_path)
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outline, preview = _extract_outline_for_file(phys_path)
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file["outline"] = outline
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file["outline_preview"] = preview
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if not new_files and not historical_files:
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return None
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