fix: layout detection & format conversion robustness
Three targeted fixes for layout processing issues:
1. formula_number type mapping (layout_detector.py)
- Changed formula_number region type from "formula" to "text"
- Ensures Text Recognition prompt, preventing $$-wrapped output
- Prevents malformed \tag{$$...\n$$} in merged formulas
2. Reading order (ocr_service.py)
- Sort layout regions by (y1, x1) after detection
- Ensures top-to-bottom, left-to-right processing order
- Fixes paragraph ordering issues in output
3. Formula number cleaning (glm_postprocess.py)
- clean_formula_number() now strips $$, $, \[...\] delimiters
- Handles edge case where vLLM still returns math-mode wrapped content
- Prevents delimiter leakage into \tag{} placeholders
Also adds logging:
- Warning when empty formula content is skipped
- Warning when region crop is too small (< 10×10 px)
- Warning when vLLM parallel call fails
- Warning when format conversion fails
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -13,8 +13,11 @@ Covers:
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from __future__ import annotations
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import logging
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import re
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import json
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logger = logging.getLogger(__name__)
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from collections import Counter
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from copy import deepcopy
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from typing import Any, Dict, List, Optional, Tuple
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@@ -94,8 +97,18 @@ def clean_repeated_content(
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def clean_formula_number(number_content: str) -> str:
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"""Strip parentheses from a formula number string, e.g. '(1)' → '1'."""
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"""Strip delimiters from a formula number string, e.g. '(1)' → '1'.
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Also strips math-mode delimiters ($$, $, \\[...\\]) that vLLM may add
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when the region is processed with a formula prompt.
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"""
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s = number_content.strip()
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# Strip display math delimiters
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for start, end in [("$$", "$$"), (r"\[", r"\]"), ("$", "$"), (r"\(", r"\)")]:
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if s.startswith(start) and s.endswith(end) and len(s) > len(start) + len(end):
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s = s[len(start):-len(end)].strip()
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break
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# Strip CJK/ASCII parentheses
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if s.startswith("(") and s.endswith(")"):
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return s[1:-1]
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if s.startswith("(") and s.endswith(")"):
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@@ -253,6 +266,9 @@ class GLMResultFormatter:
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if content.startswith(s) and content.endswith(e):
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content = content[len(s) : -len(e)].strip()
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break
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if not content:
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logger.warning("Skipping formula region with empty content after stripping delimiters")
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return ""
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content = "$$\n" + content + "\n$$"
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# Text formatting
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@@ -66,7 +66,9 @@ class LayoutDetector:
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# Formula types
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"display_formula": "formula",
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"inline_formula": "formula",
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"formula_number": "formula",
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# formula_number is a plain text annotation "(2.9)" next to a formula,
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# not a formula itself — use text prompt so vLLM returns plain text
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"formula_number": "text",
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# Table types
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"table": "table",
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# Figure types
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@@ -1,6 +1,7 @@
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"""PaddleOCR-VL client service for text and formula recognition."""
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import base64
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import logging
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import re
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from abc import ABC, abstractmethod
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from concurrent.futures import ThreadPoolExecutor, as_completed
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@@ -20,6 +21,7 @@ from app.services.image_processor import ImageProcessor
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from app.services.layout_detector import LayoutDetector
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settings = get_settings()
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logger = logging.getLogger(__name__)
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_COMMANDS_NEED_SPACE = {
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# operators / calculus
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@@ -883,6 +885,9 @@ class GLMOCREndToEndService(OCRServiceBase):
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# 2. Layout detection
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layout_info = self.layout_detector.detect(padded)
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# Sort regions in reading order: top-to-bottom, left-to-right
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layout_info.regions.sort(key=lambda r: (r.bbox[1], r.bbox[0]))
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# 3. OCR: per-region (parallel) or full-image fallback
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if not layout_info.regions:
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raw_content = self._call_vllm(padded, _DEFAULT_PROMPT)
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@@ -895,7 +900,13 @@ class GLMOCREndToEndService(OCRServiceBase):
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continue
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x1, y1, x2, y2 = (int(c) for c in region.bbox)
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cropped = padded[y1:y2, x1:x2]
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if cropped.size == 0:
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if cropped.size == 0 or cropped.shape[0] < 10 or cropped.shape[1] < 10:
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logger.warning(
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"Skipping region idx=%d (label=%s): crop too small %s",
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idx,
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region.native_label,
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cropped.shape[:2],
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)
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continue
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prompt = _TASK_PROMPTS.get(region.type, _DEFAULT_PROMPT)
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tasks.append((idx, region, cropped, prompt))
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@@ -915,7 +926,8 @@ class GLMOCREndToEndService(OCRServiceBase):
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idx = future_map[future]
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try:
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raw_results[idx] = future.result()
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except Exception:
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except Exception as e:
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logger.warning("vLLM call failed for region idx=%d: %s", idx, e)
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raw_results[idx] = ""
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# Build structured region dicts for GLMResultFormatter
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@@ -940,8 +952,11 @@ class GLMOCREndToEndService(OCRServiceBase):
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# 6. Format conversion
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latex, mathml, mml = "", "", ""
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if markdown_content and self.converter:
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fmt = self.converter.convert_to_formats(markdown_content)
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latex, mathml, mml = fmt.latex, fmt.mathml, fmt.mml
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try:
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fmt = self.converter.convert_to_formats(markdown_content)
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latex, mathml, mml = fmt.latex, fmt.mathml, fmt.mml
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except RuntimeError as e:
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logger.warning("Format conversion failed, returning empty latex/mathml/mml: %s", e)
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return {"markdown": markdown_content, "latex": latex, "mathml": mathml, "mml": mml}
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