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1 changed files with 30 additions and 10 deletions
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@ -28,29 +28,48 @@ async def generate_summaries_for_structure_md(structure, summary_token_threshold
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def extract_nodes_from_markdown(markdown_content):
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header_pattern = r'^(#{1,6})\s+(.+)$'
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code_block_pattern = r'^```'
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node_list = []
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lines = markdown_content.split('\n')
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in_code_block = False
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for line_num, line in enumerate(lines, 1):
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line = line.strip()
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if not line:
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stripped_line = line.strip()
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# Check for code block delimiters (triple backticks)
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if re.match(code_block_pattern, stripped_line):
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in_code_block = not in_code_block
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continue
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match = re.match(header_pattern, line)
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# Skip empty lines
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if not stripped_line:
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continue
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# Only look for headers when not inside a code block
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if not in_code_block:
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match = re.match(header_pattern, stripped_line)
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if match:
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title = match.group(2).strip()
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node_list.append({'node_title': title, 'line_num': line_num})
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return node_list,lines
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return node_list, lines
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def extract_node_text_content(node_list, markdown_lines):
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all_nodes = []
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for node in node_list:
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line_content = markdown_lines[node['line_num'] - 1]
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header_match = re.match(r'^(#{1,6})', line_content)
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if header_match is None:
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print(f"Warning: Line {node['line_num']} does not contain a valid header: '{line_content}'")
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continue
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processed_node = {
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'title': node['node_title'],
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'line_num': node['line_num'],
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'level': len(re.match(r'^(#{1,6})', markdown_lines[node['line_num'] - 1]).group(1))
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'level': len(header_match.group(1))
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}
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all_nodes.append(processed_node)
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@ -250,7 +269,8 @@ if __name__ == "__main__":
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import os
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import json
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MD_NAME = 'Detect-Order-Construct'
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# MD_NAME = 'Detect-Order-Construct'
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MD_NAME = 'mcp'
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# MD_NAME = 'Welcome'
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MD_PATH = os.path.join(os.path.dirname(__file__), '..', 'docs', f'{MD_NAME}.md')
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