perf: Optimize PDF processing with parallel extraction and single-render highlights
Phase 1 - PDF Highlighting Optimization: - Render each page ONCE instead of once per chunk (N chunks = 1 render, not N) - Use PIL to draw bounding boxes on copied base images (fast) instead of re-rendering page via pymupdf (slow) - Add _find_chunk_bbox() to extract bbox without modifying page Phase 2 - Parallel Page Extraction: - Use anyio task group with run_sync() for parallel page extraction - Each page extracted in separate thread via anyio.to_thread.run_sync() - Event loop stays responsive during extraction - Remove obsolete _process_sync() method Expected improvement: 30-50% reduction in total PDF processing time. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -393,6 +393,65 @@ class PDFHighlighter:
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return clean_text if clean_text else None
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@staticmethod
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def _find_chunk_bbox(
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page: pymupdf.Page,
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chunk_text: str,
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page_relative_start: int,
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page_relative_end: int,
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page_text_length: int,
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) -> tuple[float, float, float, float] | None:
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"""Find bounding box for a chunk without modifying the page.
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Returns (x0, y0, x1, y1) in page coordinates, or None if not found.
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"""
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page_rect = page.rect
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# Strip markdown for searching
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search_text = PDFHighlighter.strip_markdown(chunk_text)
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# Try to find chunk location using text search
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anchor_rect = None
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search_phrases = []
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# Build search phrases from chunk text
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sentences = re.split(r"[.!?]\s+", search_text)
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for sentence in sentences[:3]:
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sentence = sentence.strip()
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if len(sentence) >= 20:
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search_phrases.append(sentence[:80])
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if len(sentence) >= 40:
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search_phrases.append(sentence[:40])
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# Also try first N characters
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if len(search_text) >= 30:
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search_phrases.append(search_text[:60])
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search_phrases.append(search_text[:30])
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for phrase in search_phrases:
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if not phrase:
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continue
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rects = page.search_for(phrase.strip())
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if rects:
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anchor_rect = rects[0]
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break
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if not anchor_rect:
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return None
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# Calculate chunk height based on character count
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chunk_chars = len(search_text)
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estimated_lines = max(1, chunk_chars / 60)
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estimated_height = estimated_lines * 14
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# Build bounding box
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return (
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page_rect.x0 + 30, # Left margin
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anchor_rect.y0 - 5, # Start slightly above anchor
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page_rect.x1 - 30, # Right margin
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min(anchor_rect.y0 + estimated_height + 10, page_rect.y1 - 30),
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)
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@staticmethod
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def highlight_chunk_on_page(
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page: pymupdf.Page,
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@@ -739,20 +798,32 @@ class PDFHighlighter:
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f"Chunks distributed across {len(chunks_by_page)} unique pages"
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)
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# Process each chunk, rendering with only its own highlights
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# Store original page contents to restore between chunks
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page_contents_cache: dict[int, list[bytes]] = {}
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# OPTIMIZATION: Render each page ONCE, then draw highlights using PIL
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# This avoids expensive page.get_pixmap() calls per chunk
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from io import BytesIO
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from PIL import Image, ImageDraw
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# PIL color for bounding box (RGB tuple)
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rgb = PDFHighlighter.COLORS.get(color, PDFHighlighter.COLORS["yellow"])
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pil_color = tuple(int(c * 255) for c in rgb)
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fill_color = (255, 255, 178, 38) # Light yellow with alpha
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for page_num, page_chunks in chunks_by_page.items():
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page = doc[page_num - 1]
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# Cache original page contents (before any highlights added)
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# xref is the PDF object reference for each content stream
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if page_num not in page_contents_cache:
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page_contents_cache[page_num] = []
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xrefs = page.get_contents()
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for xref in xrefs:
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page_contents_cache[page_num].append(doc.xref_stream(xref))
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# Render page ONCE to get base image (most expensive operation)
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mat = pymupdf.Matrix(zoom, zoom)
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base_pix = page.get_pixmap(matrix=mat, alpha=False)
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base_png = base_pix.tobytes("png")
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# Convert to PIL Image for fast highlight drawing
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base_image = Image.open(BytesIO(base_png)).convert("RGBA")
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page_rect = page.rect
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logger.debug(
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f"Page {page_num}: rendered once, processing {len(page_chunks)} chunks"
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)
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for (
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chunk_index,
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@@ -761,42 +832,48 @@ class PDFHighlighter:
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page_text_length,
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) in page_chunks:
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try:
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# Restore original page contents to remove previous highlights
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# Highlights are drawn shapes, not annotations, so we must
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# restore the content stream to clear them
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xrefs = page.get_contents()
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for i, xref in enumerate(xrefs):
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if i < len(page_contents_cache[page_num]):
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doc.update_stream(
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xref, page_contents_cache[page_num][i]
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)
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# Add highlights for this chunk with region constraint
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page_relative_start = chunk_page_info["page_relative_start"]
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page_relative_end = chunk_page_info["page_relative_end"]
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highlight_count = PDFHighlighter.highlight_chunk_on_page(
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# Find chunk bounding box using text search
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bbox = PDFHighlighter._find_chunk_bbox(
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page,
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chunk_text,
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color,
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page_relative_start=page_relative_start,
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page_relative_end=page_relative_end,
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page_text_length=page_text_length,
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chunk_page_info["page_relative_start"],
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chunk_page_info["page_relative_end"],
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page_text_length,
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)
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if highlight_count == 0:
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logger.warning(f"Chunk {chunk_index}: no highlights added")
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if bbox is None:
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logger.warning(f"Chunk {chunk_index}: could not find bbox")
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continue
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# Render page to PNG
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mat = pymupdf.Matrix(zoom, zoom)
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pix = page.get_pixmap(matrix=mat, alpha=False)
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png_bytes = pix.tobytes("png")
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# Copy base image and draw highlight using PIL (fast!)
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chunk_image = base_image.copy()
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draw = ImageDraw.Draw(chunk_image, "RGBA")
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results[chunk_index] = (png_bytes, page_num, highlight_count)
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# Scale bbox coordinates to pixmap coordinates
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scale_x = base_pix.width / page_rect.width
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scale_y = base_pix.height / page_rect.height
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pil_bbox = (
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int(bbox[0] * scale_x),
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int(bbox[1] * scale_y),
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int(bbox[2] * scale_x),
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int(bbox[3] * scale_y),
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)
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# Draw semi-transparent fill
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draw.rectangle(pil_bbox, fill=fill_color)
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# Draw dashed border (PIL doesn't support dashes, use solid)
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draw.rectangle(pil_bbox, outline=pil_color, width=3)
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# Convert back to PNG bytes
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output = BytesIO()
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chunk_image.convert("RGB").save(output, format="PNG")
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png_bytes = output.getvalue()
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results[chunk_index] = (png_bytes, page_num, 1)
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logger.debug(
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f"Chunk {chunk_index}: {len(png_bytes):,} bytes, "
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f"page {page_num}, {highlight_count} highlights"
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f"page {page_num}, bbox {pil_bbox}"
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)
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except Exception as e:
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