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Upload ocr_service.py
Browse files- ocr_service.py +124 -59
ocr_service.py
CHANGED
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@@ -303,14 +303,18 @@ async def run_deepseek_ocr(
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# Parse result - DeepSeek-OCR returns structured markdown output
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# Extract structured lines from
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return {
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"text":
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"lines": lines,
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}
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except Exception as e:
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print(f"DeepSeek-OCR error: {e}")
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@@ -330,76 +334,137 @@ async def run_deepseek_ocr(
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pass
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def _parse_deepseek_output(ocr_text: str) -> list:
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"""
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Extract structured lines from DeepSeek-OCR markdown output.
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"""
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lines = []
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text_lines = ocr_text.split('\n')
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y_offset += line_height // 2
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continue
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lines.append({
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"bbox": [
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y_offset,
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(cell_idx + 1) * 200,
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y_offset + line_height
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],
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"text": cell,
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"conf": 0.95,
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})
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lines.append({
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"bbox": [
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"text":
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"conf": 0.95,
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})
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y_offset += line_height
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# Handle headers (# ## ###)
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elif stripped.startswith('#'):
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header_level = len(stripped) - len(stripped.lstrip('#'))
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text = stripped.lstrip('#').strip()
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if text:
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# Headers are typically larger
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header_height = line_height + (header_level * 4)
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lines.append({
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"bbox": [0, y_offset, 1000, y_offset + header_height],
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"text": text,
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"conf": 0.95,
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})
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y_offset += header_height
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# Regular text line
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else:
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# Estimate width based on text length (rough approximation)
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estimated_width = min(len(stripped) * 8, 1000) # ~8px per char average
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lines.append({
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"bbox": [0, y_offset, estimated_width, y_offset + line_height],
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"text": stripped,
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"conf": 0.95,
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})
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y_offset += line_height
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return lines
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)
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# Parse result - DeepSeek-OCR returns structured markdown output
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raw_text = result if isinstance(result, str) else str(result)
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# Extract structured lines from raw text (before cleaning)
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# This parses grounding annotations to get bounding boxes
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lines = _parse_deepseek_output(raw_text)
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# Convert to clean markdown (remove tags, keep text)
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clean_markdown = _deepseek_to_markdown(raw_text)
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return {
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"text": clean_markdown, # Return clean markdown without tags
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"lines": lines, # Structured lines with bounding boxes
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}
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except Exception as e:
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print(f"DeepSeek-OCR error: {e}")
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pass
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def _deepseek_to_markdown(s: str) -> str:
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"""
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Convert DeepSeek-OCR tagged output to clean Markdown.
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Removes grounding tags (<|ref|>...</|ref|>) and bbox annotations (<|det|>[...]<|/det|>)
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while preserving the text content.
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"""
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import re
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# Remove bbox annotations first
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det_pattern = re.compile(r'<\|det\|>\[[^\]]*\]<\|\/det\|>', re.DOTALL)
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s = det_pattern.sub('', s)
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# Remove ref tags
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ref_pattern = re.compile(r'<\|ref\|>.*?<\|\/ref\|>', re.DOTALL)
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s = ref_pattern.sub('', s)
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# Tidy multiple blank lines
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s = re.sub(r'\n{3,}', '\n\n', s).strip()
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return s
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def _parse_deepseek_output(ocr_text: str) -> list:
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"""
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Extract structured lines from DeepSeek-OCR markdown output.
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DeepSeek-OCR returns grounding annotations like:
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<|ref|>title<|/ref|><|det|>[[x,y,w,h]]<|/det|># Title
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We parse these annotations to extract precise bounding boxes.
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"""
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import re
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lines = []
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# Pattern to match grounding annotations: <|ref|>TYPE<|/ref|><|det|>[[x,y,w,h]]<|/det|>CONTENT
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# Example: <|ref|>title<|/ref|><|det|>[[292, 29, 634, 54]]<|/det|># Taйский карри...
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grounding_pattern = re.compile(
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r'<\|ref\|>([^<]+)<\|\/ref\|><\|det\|>\[\[(\d+),\s*(\d+),\s*(\d+),\s*(\d+)\]\]<\|\/det\|>(.*?)(?=<\|ref\||$)',
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re.DOTALL
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)
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text_lines = ocr_text.split('\n')
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found_grounding = False
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# Try to parse grounding annotations first
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for line in text_lines:
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matches = list(grounding_pattern.finditer(line))
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if matches:
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found_grounding = True
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for match in matches:
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type_name = match.group(1).strip()
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x = int(match.group(2))
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y = int(match.group(3))
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w = int(match.group(4)) # Width
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h = int(match.group(5)) # Height
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content = match.group(6).strip()
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# Remove markdown formatting from content
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content = re.sub(r'^#+\s*', '', content) # Remove headers
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content = re.sub(r'\*\*', '', content) # Remove bold
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content = re.sub(r'\*', '', content) # Remove italic
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content = content.strip()
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if content:
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lines.append({
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"bbox": [x, y, x + w, y + h], # Convert [x, y, w, h] to [x0, y0, x1, y1]
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"text": content,
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"conf": 0.95,
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"type": type_name, # title, text, sub_title, etc.
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})
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# Fallback: if no grounding annotations found, parse markdown as before
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if not found_grounding:
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y_offset = 0
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line_height = 24
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for line_idx, line in enumerate(text_lines):
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stripped = line.strip()
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if not stripped:
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y_offset += line_height // 2
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continue
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# Remove grounding annotations if present (but use fallback positioning)
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stripped = re.sub(r'<\|ref\|>[^<]+<\|\/ref\|><\|det\|>\[\[.*?\]\]<\|\/det\|>', '', stripped)
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stripped = stripped.strip()
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if not stripped:
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continue
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# Handle markdown tables (| separated)
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if '|' in stripped and stripped.count('|') >= 2:
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cells = [cell.strip() for cell in stripped.split('|') if cell.strip()]
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for cell_idx, cell in enumerate(cells):
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if cell:
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lines.append({
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"bbox": [cell_idx * 200, y_offset, (cell_idx + 1) * 200, y_offset + line_height],
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"text": cell,
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"conf": 0.95,
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})
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y_offset += line_height
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# Handle markdown lists (-, *, 1., etc.)
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elif stripped.startswith(('-', '*', '+')) or (len(stripped) > 2 and stripped[1] == '.'):
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text = stripped.lstrip('-*+').lstrip('0123456789.').strip()
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if text:
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lines.append({
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"bbox": [40, y_offset, 1000, y_offset + line_height],
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"text": text,
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"conf": 0.95,
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})
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y_offset += line_height
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# Handle headers (# ## ###)
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elif stripped.startswith('#'):
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header_level = len(stripped) - len(stripped.lstrip('#'))
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text = stripped.lstrip('#').strip()
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if text:
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header_height = line_height + (header_level * 4)
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lines.append({
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"bbox": [0, y_offset, 1000, y_offset + header_height],
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"text": text,
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"conf": 0.95,
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})
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y_offset += header_height
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# Regular text line
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else:
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estimated_width = min(len(stripped) * 8, 1000)
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lines.append({
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"bbox": [0, y_offset, estimated_width, y_offset + line_height],
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"text": stripped,
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"conf": 0.95,
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})
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y_offset += line_height
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return lines
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