mirror of
https://github.com/VectifyAI/PageIndex.git
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b3616f76a2
- SQLite dedup race: add UNIQUE(collection_name, file_hash) and switch save_document to a plain INSERT. add_document now catches the IntegrityError from a concurrent add of the same content, cleans up its managed files, and returns the winning doc_id — instead of two doc_ids for one file (each having paid for its own LLM indexing). - PDF image paths: store the absolute path to each extracted image instead of a path relative to the indexing process's cwd. The  references broke as soon as a query ran from a different directory. - LegacyCloudAPI: URL-encode doc_id / retrieval_id path segments (added _enc()), matching CloudBackend. An id containing '/', '?', '#' or a space previously hit the wrong endpoint or produced a malformed URL. Adds regression tests: UNIQUE enforcement, the add-race resolving to the winner, absolute image paths, and encoded legacy URLs. Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
99 lines
3.6 KiB
Python
99 lines
3.6 KiB
Python
import pymupdf
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from pathlib import Path
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from .protocol import ContentNode, ParsedDocument
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from ..index.utils import count_tokens
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# Minimum image dimension to keep (skip icons/artifacts)
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_MIN_IMAGE_SIZE = 32
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class PdfParser:
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def supported_extensions(self) -> list[str]:
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return [".pdf"]
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def parse(self, file_path: str, **kwargs) -> ParsedDocument:
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path = Path(file_path)
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model = kwargs.get("model")
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images_dir = kwargs.get("images_dir")
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nodes = []
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with pymupdf.open(str(path)) as doc:
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for i, page in enumerate(doc):
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page_num = i + 1
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if images_dir:
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content, images = self._extract_page_with_images(
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doc, page, page_num, images_dir)
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else:
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content = page.get_text()
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images = None
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tokens = count_tokens(content, model=model)
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nodes.append(ContentNode(
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content=content or "",
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tokens=tokens,
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index=page_num,
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images=images if images else None,
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))
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return ParsedDocument(doc_name=path.stem, nodes=nodes)
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@staticmethod
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def _extract_page_with_images(doc, page, page_num: int,
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images_dir: str) -> tuple[str, list[dict]]:
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"""Extract text and images from a page, preserving their relative order.
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Uses get_text("dict") to iterate blocks in reading order.
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Text blocks become text; image blocks are saved to disk and replaced
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with an inline placeholder: 
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"""
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images_path = Path(images_dir)
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images_path.mkdir(parents=True, exist_ok=True)
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# Store an absolute path so the  reference resolves
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# regardless of the process's cwd at query time. (cwd-relative paths
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# break as soon as the query runs from a different directory.)
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abs_images_path = images_path.resolve()
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parts: list[str] = []
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images: list[dict] = []
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img_idx = 0
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for block in page.get_text("dict")["blocks"]:
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if block["type"] == 0: # text block
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lines = []
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for line in block["lines"]:
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spans_text = "".join(span["text"] for span in line["spans"])
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lines.append(spans_text)
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parts.append("\n".join(lines))
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elif block["type"] == 1: # image block
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width = block.get("width", 0)
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height = block.get("height", 0)
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if width < _MIN_IMAGE_SIZE or height < _MIN_IMAGE_SIZE:
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continue
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image_bytes = block.get("image")
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if not image_bytes:
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continue
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try:
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pix = pymupdf.Pixmap(image_bytes)
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if pix.n > 4:
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pix = pymupdf.Pixmap(pymupdf.csRGB, pix)
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filename = f"p{page_num}_img{img_idx}.png"
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save_path = images_path / filename
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pix.save(str(save_path))
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pix = None
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except Exception:
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continue
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img_path = str(abs_images_path / filename)
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images.append({
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"path": img_path,
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"width": width,
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"height": height,
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})
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parts.append(f"")
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img_idx += 1
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content = "\n".join(parts)
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return content, images
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