chore: import upstream snapshot with attribution
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wehub-resource-sync
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#!/usr/bin/env python3
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"""Implement entity-based connections from Link Suggestions Report."""
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import re
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import os
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from pathlib import Path
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# Priority entities to focus on
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PRIORITY_ENTITIES = {
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'langchain', 'langgraph', 'llm', 'rag', 'embedding', 'vector',
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'mcp', 'model context protocol', 'api integration', 'function calling',
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'anthropic', 'openai', 'google', 'claude', 'gpt',
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'autonomous agent', 'ai agent', 'chain of thought', 'prompt engineering',
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'retrieval augmented', 'graphrag', 'multimodal', 'tool use'
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}
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def read_file(file_path):
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"""Read file content."""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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return f.read()
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except:
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return None
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def write_file(file_path, content):
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"""Write content to file."""
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try:
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(content)
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return True
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except:
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return False
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def find_file(filename, search_dirs):
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"""Find a file in the vault."""
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for dir_path in search_dirs:
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for root, dirs, files in os.walk(dir_path):
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for file in files:
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if file == filename or file == filename + '.md':
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return os.path.join(root, file)
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return None
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def add_link_to_file(file_path, link_to_add, link_text=None):
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"""Add a link to a file if it doesn't already exist."""
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content = read_file(file_path)
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if not content:
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return False
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# Check if link already exists
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if f'[[{link_to_add}]]' in content:
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return False
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# Find a good place to add the link
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# Look for existing "Related:" or "See also:" sections
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related_patterns = [
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r'^#+\s*Related.*?$',
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r'^#+\s*See also.*?$',
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r'^#+\s*Links.*?$',
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r'^#+\s*References.*?$'
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]
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insert_pos = None
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for pattern in related_patterns:
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match = re.search(pattern, content, re.MULTILINE | re.IGNORECASE)
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if match:
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# Find the end of this section
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insert_pos = match.end()
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# Skip to next line
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next_line = content.find('\n', insert_pos)
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if next_line != -1:
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insert_pos = next_line + 1
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break
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# If no related section found, add at the end of frontmatter
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if insert_pos is None:
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# Find end of frontmatter
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frontmatter_end = content.find('---', 3)
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if frontmatter_end != -1:
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insert_pos = content.find('\n', frontmatter_end + 3) + 1
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else:
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# No frontmatter, add at beginning
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insert_pos = 0
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# Create the link line
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if link_text:
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link_line = f"- [[{link_to_add}]] - {link_text}\n"
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else:
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link_line = f"- [[{link_to_add}]]\n"
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# If we're not in a list section, create one
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if insert_pos is None or (insert_pos > 0 and content[insert_pos-2:insert_pos] != '\n\n'):
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# Check if we need to add a Related section
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needs_section = True
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for pattern in related_patterns:
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if re.search(pattern, content, re.MULTILINE | re.IGNORECASE):
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needs_section = False
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break
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if needs_section:
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# Add at end of file with new Related section
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if not content.endswith('\n'):
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content += '\n'
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content += '\n## Related\n'
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content += link_line
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else:
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# Insert in existing section
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new_content = content[:insert_pos] + link_line + content[insert_pos:]
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content = new_content
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else:
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# Insert at found position
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new_content = content[:insert_pos] + link_line + content[insert_pos:]
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content = new_content
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return write_file(file_path, content)
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def implement_connections():
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"""Implement priority entity connections."""
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vault_root = Path("/Users/cam/VAULT01")
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search_dirs = [
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vault_root / "AI Development",
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vault_root / "AI Articles and Research",
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vault_root / "AI IDEAS",
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vault_root / "AI Courses",
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vault_root / "CamRohn LLC",
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vault_root / "Clippings"
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]
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# Read the report
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report_path = vault_root / "System_Files" / "Link_Suggestions_Report.md"
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report_content = read_file(report_path)
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if not report_content:
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print("Could not read report")
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return
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# Parse entity connections
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connections_made = 0
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connections_by_entity = {}
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# Find entity sections
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entity_pattern = r'^### (.+)$'
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connection_pattern = r'- \[\[([^\]]+)\]\] ↔ \[\[([^\]]+)\]\]'
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current_entity = None
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for line in report_content.split('\n'):
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# Check for entity header
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entity_match = re.match(entity_pattern, line)
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if entity_match:
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current_entity = entity_match.group(1).strip().lower()
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continue
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# Check for connection
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if current_entity and current_entity in [e.lower() for e in PRIORITY_ENTITIES]:
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conn_match = re.match(connection_pattern, line)
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if conn_match:
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file1 = conn_match.group(1).strip()
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file2 = conn_match.group(2).strip()
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# Skip self-connections
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if file1 == file2:
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continue
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# Find actual file paths
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file1_path = find_file(file1 + '.md', search_dirs)
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file2_path = find_file(file2 + '.md', search_dirs)
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if file1_path and file2_path:
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# Add bidirectional links
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if add_link_to_file(file1_path, file2, f"Related to {current_entity}"):
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connections_made += 1
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if current_entity not in connections_by_entity:
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connections_by_entity[current_entity] = 0
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connections_by_entity[current_entity] += 1
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print(f"Added link from {file1} to {file2}")
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if add_link_to_file(file2_path, file1, f"Related to {current_entity}"):
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connections_made += 1
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if current_entity not in connections_by_entity:
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connections_by_entity[current_entity] = 0
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connections_by_entity[current_entity] += 1
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print(f"Added link from {file2} to {file1}")
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# Generate report
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print("\n=== Connection Implementation Report ===")
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print(f"Total connections made: {connections_made}")
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print("\nConnections by entity:")
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for entity, count in sorted(connections_by_entity.items(), key=lambda x: x[1], reverse=True):
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print(f" {entity}: {count} connections")
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# Find cross-domain connections
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print("\nCross-domain connections created:")
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# This would require more complex analysis of file paths
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if __name__ == "__main__":
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implement_connections()
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