obsidian/01 Projects/gmal-scope-builder/graph.html
2026-05-18 11:00:36 +01:00

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HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>graphify - /Users/ai_leed/Documents/Projects/Oliver/gmal-scope-builder/graphify-out/graph.html</title>
<script src="https://unpkg.com/vis-network/standalone/umd/vis-network.min.js"></script>
<style>
* { box-sizing: border-box; margin: 0; padding: 0; }
body { background: #0f0f1a; color: #e0e0e0; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; display: flex; height: 100vh; overflow: hidden; }
#graph { flex: 1; }
#sidebar { width: 280px; background: #1a1a2e; border-left: 1px solid #2a2a4e; display: flex; flex-direction: column; overflow: hidden; }
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#legend-controls label { display: flex; align-items: center; gap: 6px; cursor: pointer; font-size: 12px; color: #aaa; user-select: none; }
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</head>
<body>
<div id="graph"></div>
<div id="sidebar">
<div id="search-wrap">
<input id="search" type="text" placeholder="Search nodes..." autocomplete="off">
<div id="search-results"></div>
</div>
<div id="info-panel">
<h3>Node Info</h3>
<div id="info-content"><span class="empty">Click a node to inspect it</span></div>
</div>
<div id="legend-wrap">
<h3>Communities</h3>
<div id="legend-controls">
<label><input type="checkbox" id="select-all-cb" checked onchange="toggleAllCommunities(!this.checked)">Select All</label>
</div>
<div id="legend"></div>
</div>
<div id="stats">483 nodes &middot; 698 edges &middot; 43 communities</div>
</div>
<script>
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For e", "community": 5, "community_name": "Community 5", "source_file": "backend/app/services/ratecard_builder.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_init_py", "label": "__init__.py", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.0, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 32, "community_name": "Community 32", "source_file": "backend/app/services/__init__.py", "file_type": "code", "degree": 0}, {"id": "services_export_pdf_export_caveats_pdf", "label": "export_caveats_pdf()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "export_caveats_pdf()", "community": 5, "community_name": "Community 5", "source_file": "backend/app/services/export_pdf.py", "file_type": "code", "degree": 2}, {"id": "services_export_pdf_rationale_1", "label": "Export caveats report to PDF.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Export caveats report to PDF.", "community": 5, "community_name": "Community 5", "source_file": "backend/app/services/export_pdf.py", "file_type": "rationale", "degree": 1}, {"id": "services_export_pdf_rationale_29", "label": "Generate a PDF caveats report for a project. Returns the PDF as bytes.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate a PDF caveats report for a project. Returns the PDF as bytes.", "community": 5, "community_name": "Community 5", "source_file": "backend/app/services/export_pdf.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_ai_matching_py", "label": "ai_matching.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 19.5, "font": {"size": 12, "color": "#ffffff"}, "title": "ai_matching.py", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 7}, {"id": "services_ai_matching_cancel_matching", "label": "cancel_matching()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "cancel_matching()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 2}, {"id": "services_ai_matching_is_cancelled", "label": "_is_cancelled()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_cancelled()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 2}, {"id": "services_ai_matching_clear_cancel", "label": "_clear_cancel()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_clear_cancel()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 2}, {"id": "services_ai_matching_match_single_asset", "label": "_match_single_asset()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 15.5, "font": {"size": 12, "color": "#ffffff"}, "title": "_match_single_asset()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 4}, {"id": "services_ai_matching_match_client_assets", "label": "match_client_assets()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 20.9, "font": {"size": 12, "color": "#ffffff"}, "title": "match_client_assets()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 8}, {"id": "services_ai_matching_format_compact_catalog", "label": "_format_compact_catalog()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 14.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_compact_catalog()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "code", "degree": 3}, {"id": "services_ai_matching_rationale_1", "label": "AI-powered matching of client assets to GMAL catalog using Claude.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "AI-powered matching of client assets to GMAL catalog using Claude.", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_matching_rationale_112", "label": "Run a single match call to Claude (synchronous, for use in thread pool).", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run a single match call to Claude (synchronous, for use in thread pool).", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/ai_matching.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_matching_rationale_145", "label": "Match all client assets against the GMAL catalog. Runs in parallel batches", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Match all client assets against the GMAL catalog. Runs in parallel batches", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_matching_rationale_370", "label": "Format the full GMAL catalog for Claude with AI-enhanced descriptions where avai", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Format the full GMAL catalog for Claude with AI-enhanced descriptions where avai", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/ai_matching.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_tier_expander_py", "label": "tier_expander.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "tier_expander.py", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/tier_expander.py", "file_type": "code", "degree": 2}, {"id": "services_tier_expander_expand_to_tiers", "label": "expand_to_tiers()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 14.1, "font": {"size": 0, "color": "#ffffff"}, "title": "expand_to_tiers()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/tier_expander.py", "file_type": "code", "degree": 3}, {"id": "services_tier_expander_rationale_1", "label": "Expand matched assets into complexity tier variants.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Expand matched assets into complexity tier variants.", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/tier_expander.py", "file_type": "rationale", "degree": 1}, {"id": "services_tier_expander_rationale_24", "label": "Expand each matched asset into complexity variants based on the project's tier m", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Expand each matched asset into complexity variants based on the project&#x27;s tier m", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/tier_expander.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_match_refiner_py", "label": "match_refiner.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.7, "font": {"size": 0, "color": "#ffffff"}, "title": "match_refiner.py", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/match_refiner.py", "file_type": "code", "degree": 2}, {"id": "services_match_refiner_refine_matches", "label": "refine_matches()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 16.8, "font": {"size": 12, "color": "#ffffff"}, "title": "refine_matches()", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/match_refiner.py", "file_type": "code", "degree": 5}, {"id": "services_match_refiner_rationale_1", "label": "Interpret natural language instructions to refine matches.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Interpret natural language instructions to refine matches.", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/match_refiner.py", "file_type": "rationale", "degree": 1}, {"id": "services_match_refiner_rationale_87", "label": "Interpret a user instruction and apply refinements to the project's matches.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Interpret a user instruction and apply refinements to the project&#x27;s matches.", "community": 3, "community_name": "Community 3", "source_file": "backend/app/services/match_refiner.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_ai_descriptions_py", "label": "ai_descriptions.py", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 18.2, "font": {"size": 12, "color": "#ffffff"}, "title": "ai_descriptions.py", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "code", "degree": 6}, {"id": "services_ai_descriptions_generate_descriptions_batch", "label": "generate_descriptions_batch()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 15.5, "font": {"size": 12, "color": "#ffffff"}, "title": "generate_descriptions_batch()", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "code", "degree": 4}, {"id": "services_ai_descriptions_generate_for_category", "label": "_generate_for_category()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 18.2, "font": {"size": 12, "color": "#ffffff"}, "title": "_generate_for_category()", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "code", "degree": 6}, {"id": "services_ai_descriptions_format_assets_for_prompt", "label": "_format_assets_for_prompt()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 15.5, "font": {"size": 12, "color": "#ffffff"}, "title": "_format_assets_for_prompt()", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "code", "degree": 4}, {"id": "services_ai_descriptions_format_siblings", "label": "_format_siblings()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 14.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_siblings()", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "code", "degree": 3}, {"id": "services_ai_descriptions_rationale_1", "label": "Generate rich AI-enhanced descriptions for GMAL assets.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate rich AI-enhanced descriptions for GMAL assets.", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_descriptions_rationale_158", "label": "Generate descriptions for all assets in one category. Returns (count, cost).", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate descriptions for all assets in one category. Returns (count, cost).", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_descriptions_rationale_195", "label": "Format assets for the Claude prompt with full context.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Format assets for the Claude prompt with full context.", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "rationale", "degree": 1}, {"id": "services_ai_descriptions_rationale_218", "label": "Format sibling assets for context.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Format sibling assets for context.", "community": 8, "community_name": "Community 8", "source_file": "backend/app/services/ai_descriptions.py", "file_type": "rationale", "degree": 1}, {"id": "backend_app_services_doc_parser_py", "label": "doc_parser.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 19.5, "font": {"size": 12, "color": "#ffffff"}, "title": "doc_parser.py", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 7}, {"id": "services_doc_parser_extract_text_from_file", "label": "extract_text_from_file()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 18.2, "font": {"size": 12, "color": "#ffffff"}, "title": "extract_text_from_file()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 6}, {"id": "services_doc_parser_parse_text_with_ai", "label": "parse_text_with_ai()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 18.2, "font": {"size": 12, "color": "#ffffff"}, "title": "parse_text_with_ai()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 6}, {"id": "services_doc_parser_extract_docx_text", "label": "_extract_docx_text()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 14.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_extract_docx_text()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 3}, {"id": "services_doc_parser_extract_excel_text", "label": "_extract_excel_text()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 14.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_extract_excel_text()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 3}, {"id": "services_doc_parser_deep_pass1_structure_analysis", "label": "deep_pass1_structure_analysis()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 16.8, "font": {"size": 12, "color": "#ffffff"}, "title": "deep_pass1_structure_analysis()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 5}, {"id": "services_doc_parser_deep_pass2_guided_extraction", "label": "deep_pass2_guided_extraction()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 18.2, "font": {"size": 12, "color": "#ffffff"}, "title": "deep_pass2_guided_extraction()", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "code", "degree": 6}, {"id": "services_doc_parser_rationale_1", "label": "Parse uploaded client documents (Word/Excel) to extract asset lists.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Parse uploaded client documents (Word/Excel) to extract asset lists.", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "rationale", "degree": 1}, {"id": "services_doc_parser_rationale_80", "label": "Extract text from a file. Returns (text, metadata).", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Extract text from a file. Returns (text, metadata).", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "rationale", "degree": 1}, {"id": "services_doc_parser_rationale_113", "label": "Send extracted text to Claude to identify assets. Returns (assets, usage_info).", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Send extracted text to Claude to identify assets. Returns (assets, usage_info).", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "rationale", "degree": 1}, {"id": "services_doc_parser_rationale_138", "label": "Extract text from a .docx file.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Extract text from a .docx file.", "community": 4, "community_name": "Community 4", "source_file": "backend/app/services/doc_parser.py", "file_type": "rationale", "degree": 1}, {"id": "services_doc_parser_rationale_153", "label": "Extract text from an Excel file with header-aware labelling. Detects header", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Extract text from an Excel file with header-aware labelling. 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"arch_ai_matching", "to": "concept_match", "label": "implements", "title": "implements [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_gmal", "to": "arch_ai_descriptions", "label": "calls", "title": "calls [INFERRED]", "dashes": true, "width": 1, "color": {"opacity": 0.35}, "confidence": "INFERRED"}, {"from": "arch_ai_descriptions", "to": "arch_claude_client", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_ratecard", "to": "arch_ratecard_builder", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_ratecard_builder", "to": "schema_gmal_hours", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_ratecard_builder", "to": "concept_model_type", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_002_immutable_model_type", "to": "arch_ratecard_builder", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_ratecard_builder", "to": "concept_ratecard", "label": "implements", "title": "implements [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_ratecard", "to": "arch_team_shape", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_team_shape", "to": "concept_team_shape", "label": "implements", "title": "implements [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_team_shape", "to": "concept_programme_role", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_team_shape", "to": "concept_efficiency_profile", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_matching", "to": "arch_match_refiner", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_match_refiner", "to": "arch_claude_client", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_projects", "to": "arch_rfp_analysis", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_rfp_analysis", "to": "arch_claude_client", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_matching", "to": "arch_tier_expander", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_ratecard", "to": "arch_export_excel", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_api_ratecard", "to": "arch_export_pdf", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_claude_client", "to": "concept_claude_opus", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_001_tool_use", "to": "arch_claude_client", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_003_azure_ad_auth", "to": "arch_api_users", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_frontend_app", "to": "arch_frontend_client", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_frontend_app", "to": "arch_frontend_auth", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_index_html", "to": "arch_frontend_app", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "arch_frontend_auth", "to": "concept_azure_ad", "label": "implements", "title": "implements [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_gmal", "to": "schema_gmal_assets", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_002_immutable_model_type", "to": "concept_model_type", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_gmal_hours", "to": "concept_model_type", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_client_asset", "to": "schema_client_assets", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_match", "to": "schema_matches", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_ratecard", "to": "schema_ratecard_lines", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_efficiency_profile", "to": "schema_efficiency_profiles", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "concept_tool_efficiency", "to": "schema_tool_efficiencies", "label": "conceptually_related_to", "title": "conceptually_related_to [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_001_tool_use", "to": "concept_claude_opus", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_003_azure_ad_auth", "to": "concept_azure_ad", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "adr_001_tool_use", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "adr_002_immutable_model_type", "to": "schema_gmal_hours", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "adr_002_immutable_model_type", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "adr_003_azure_ad_auth", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_gmal_hours", "to": "schema_gmal_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_matches", "to": "schema_gmal_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_ratecard_lines", "to": "schema_gmal_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_match_feedback", "to": "schema_gmal_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_gmal_hours", "to": "schema_roles", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_ratecard_lines", "to": "schema_roles", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_client_assets", "to": "schema_projects", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_ratecard_lines", "to": "schema_projects", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_matches", "to": "schema_client_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_ratecard_lines", "to": "schema_client_assets", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "schema_efficiency_rates", "to": "schema_efficiency_profiles", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_architecture", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_tech_stack", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_api_spec", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_database_schema", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_infrastructure", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_requirements", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_runbook", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_reference", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "docs_readme", "to": "docs_tasks", "label": "references", "title": "references [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}];
const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Community 0", "count": 59}, {"cid": 1, "color": "#F28E2B", "label": "Community 1", "count": 56}, {"cid": 2, "color": "#E15759", "label": "Community 2", "count": 49}, {"cid": 3, "color": "#76B7B2", "label": "Community 3", "count": 48}, {"cid": 4, "color": "#59A14F", "label": "Community 4", "count": 39}, {"cid": 5, "color": "#EDC948", "label": "Community 5", "count": 36}, {"cid": 6, "color": "#B07AA1", "label": "Community 6", "count": 25}, {"cid": 7, "color": "#FF9DA7", "label": "Community 7", "count": 22}, {"cid": 8, "color": "#9C755F", "label": "Community 8", "count": 22}, {"cid": 9, "color": "#BAB0AC", "label": "Community 9", "count": 19}, {"cid": 10, "color": "#4E79A7", "label": "Community 10", "count": 15}, {"cid": 11, "color": "#F28E2B", "label": "Community 11", "count": 14}, {"cid": 12, "color": "#E15759", "label": "Community 12", "count": 13}, {"cid": 13, "color": "#76B7B2", "label": "Community 13", "count": 10}, {"cid": 14, "color": "#59A14F", "label": "Community 14", "count": 8}, {"cid": 15, "color": "#EDC948", "label": "Community 15", "count": 4}, {"cid": 16, "color": "#B07AA1", "label": "Community 16", "count": 4}, {"cid": 17, "color": "#FF9DA7", "label": "Community 17", "count": 4}, {"cid": 18, "color": "#9C755F", "label": "Community 18", "count": 3}, {"cid": 19, "color": "#BAB0AC", "label": "Community 19", "count": 3}, {"cid": 20, "color": "#4E79A7", "label": "Community 20", "count": 3}, {"cid": 21, "color": "#F28E2B", "label": "Community 21", "count": 3}, {"cid": 22, "color": "#E15759", "label": "Community 22", "count": 2}, {"cid": 23, "color": "#76B7B2", "label": "Community 23", "count": 2}, {"cid": 24, "color": "#59A14F", "label": "Community 24", "count": 2}, {"cid": 25, "color": "#EDC948", "label": "Community 25", "count": 1}, {"cid": 26, "color": "#B07AA1", "label": "Community 26", "count": 1}, {"cid": 27, "color": "#FF9DA7", "label": "Community 27", "count": 1}, {"cid": 28, "color": "#9C755F", "label": "Community 28", "count": 1}, {"cid": 29, "color": "#BAB0AC", "label": "Community 29", "count": 1}, {"cid": 30, "color": "#4E79A7", "label": "Community 30", "count": 1}, {"cid": 31, "color": "#F28E2B", "label": "Community 31", "count": 1}, {"cid": 32, "color": "#E15759", "label": "Community 32", "count": 1}, {"cid": 33, "color": "#76B7B2", "label": "Community 33", "count": 1}, {"cid": 34, "color": "#59A14F", "label": "Community 34", "count": 1}, {"cid": 35, "color": "#EDC948", "label": "Community 35", "count": 1}, {"cid": 36, "color": "#B07AA1", "label": "Community 36", "count": 1}, {"cid": 37, "color": "#FF9DA7", "label": "Community 37", "count": 1}, {"cid": 38, "color": "#9C755F", "label": "Community 38", "count": 1}, {"cid": 39, "color": "#BAB0AC", "label": "Community 39", "count": 1}, {"cid": 40, "color": "#4E79A7", "label": "Community 40", "count": 1}, {"cid": 41, "color": "#F28E2B", "label": "Community 41", "count": 1}, {"cid": 42, "color": "#E15759", "label": "Community 42", "count": 1}];
// HTML-escape helper — prevents XSS when injecting graph data into innerHTML
function esc(s) {
return String(s).replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;').replace(/"/g,'&quot;').replace(/'/g,'&#39;');
}
// Build vis datasets
const nodesDS = new vis.DataSet(RAW_NODES.map(n => ({
id: n.id, label: n.label, color: n.color, size: n.size,
font: n.font, title: n.title,
_community: n.community, _community_name: n.community_name,
_source_file: n.source_file, _file_type: n.file_type, _degree: n.degree,
})));
const edgesDS = new vis.DataSet(RAW_EDGES.map((e, i) => ({
id: i, from: e.from, to: e.to,
label: '',
title: e.title,
dashes: e.dashes,
width: e.width,
color: e.color,
arrows: { to: { enabled: true, scaleFactor: 0.5 } },
})));
const container = document.getElementById('graph');
const network = new vis.Network(container, { nodes: nodesDS, edges: edgesDS }, {
physics: {
enabled: true,
solver: 'forceAtlas2Based',
forceAtlas2Based: {
gravitationalConstant: -60,
centralGravity: 0.005,
springLength: 120,
springConstant: 0.08,
damping: 0.4,
avoidOverlap: 0.8,
},
stabilization: { iterations: 200, fit: true },
},
interaction: {
hover: true,
tooltipDelay: 100,
hideEdgesOnDrag: true,
navigationButtons: false,
keyboard: false,
},
nodes: { shape: 'dot', borderWidth: 1.5 },
edges: { smooth: { type: 'continuous', roundness: 0.2 }, selectionWidth: 3 },
});
network.once('stabilizationIterationsDone', () => {
network.setOptions({ physics: { enabled: false } });
});
function showInfo(nodeId) {
const n = nodesDS.get(nodeId);
if (!n) return;
const neighborIds = network.getConnectedNodes(nodeId);
const neighborItems = neighborIds.map(nid => {
const nb = nodesDS.get(nid);
const color = nb ? nb.color.background : '#555';
return `<span class="neighbor-link" style="border-left-color:${esc(color)}" onclick="focusNode(${JSON.stringify(nid)})">${esc(nb ? nb.label : nid)}</span>`;
}).join('');
document.getElementById('info-content').innerHTML = `
<div class="field"><b>${esc(n.label)}</b></div>
<div class="field">Type: ${esc(n._file_type || 'unknown')}</div>
<div class="field">Community: ${esc(n._community_name)}</div>
<div class="field">Source: ${esc(n._source_file || '-')}</div>
<div class="field">Degree: ${n._degree}</div>
${neighborIds.length ? `<div class="field" style="margin-top:8px;color:#aaa;font-size:11px">Neighbors (${neighborIds.length})</div><div id="neighbors-list">${neighborItems}</div>` : ''}
`;
}
function focusNode(nodeId) {
network.focus(nodeId, { scale: 1.4, animation: true });
network.selectNodes([nodeId]);
showInfo(nodeId);
}
// Track hovered node — hover detection is more reliable than click params
let hoveredNodeId = null;
network.on('hoverNode', params => {
hoveredNodeId = params.node;
container.style.cursor = 'pointer';
});
network.on('blurNode', () => {
hoveredNodeId = null;
container.style.cursor = 'default';
});
container.addEventListener('click', () => {
if (hoveredNodeId !== null) {
showInfo(hoveredNodeId);
network.selectNodes([hoveredNodeId]);
}
});
network.on('click', params => {
if (params.nodes.length > 0) {
showInfo(params.nodes[0]);
} else if (hoveredNodeId === null) {
document.getElementById('info-content').innerHTML = '<span class="empty">Click a node to inspect it</span>';
}
});
const searchInput = document.getElementById('search');
const searchResults = document.getElementById('search-results');
searchInput.addEventListener('input', () => {
const q = searchInput.value.toLowerCase().trim();
searchResults.innerHTML = '';
if (!q) { searchResults.style.display = 'none'; return; }
const matches = RAW_NODES.filter(n => n.label.toLowerCase().includes(q)).slice(0, 20);
if (!matches.length) { searchResults.style.display = 'none'; return; }
searchResults.style.display = 'block';
matches.forEach(n => {
const el = document.createElement('div');
el.className = 'search-item';
el.textContent = n.label;
el.style.borderLeft = `3px solid ${n.color.background}`;
el.style.paddingLeft = '8px';
el.onclick = () => {
network.focus(n.id, { scale: 1.5, animation: true });
network.selectNodes([n.id]);
showInfo(n.id);
searchResults.style.display = 'none';
searchInput.value = '';
};
searchResults.appendChild(el);
});
});
document.addEventListener('click', e => {
if (!searchResults.contains(e.target) && e.target !== searchInput)
searchResults.style.display = 'none';
});
const hiddenCommunities = new Set();
const selectAllCb = document.getElementById('select-all-cb');
function updateSelectAllState() {
const total = LEGEND.length;
const hidden = hiddenCommunities.size;
selectAllCb.checked = hidden === 0;
selectAllCb.indeterminate = hidden > 0 && hidden < total;
}
function toggleAllCommunities(hide) {
document.querySelectorAll('.legend-item').forEach(item => {
hide ? item.classList.add('dimmed') : item.classList.remove('dimmed');
});
document.querySelectorAll('.legend-cb').forEach(cb => {
cb.checked = !hide;
});
LEGEND.forEach(c => {
if (hide) hiddenCommunities.add(c.cid); else hiddenCommunities.delete(c.cid);
});
const updates = RAW_NODES.map(n => ({ id: n.id, hidden: hide }));
nodesDS.update(updates);
updateSelectAllState();
}
const legendEl = document.getElementById('legend');
LEGEND.forEach(c => {
const item = document.createElement('div');
item.className = 'legend-item';
const cb = document.createElement('input');
cb.type = 'checkbox';
cb.className = 'legend-cb';
cb.checked = true;
cb.addEventListener('change', (e) => {
e.stopPropagation();
if (cb.checked) {
hiddenCommunities.delete(c.cid);
item.classList.remove('dimmed');
} else {
hiddenCommunities.add(c.cid);
item.classList.add('dimmed');
}
const updates = RAW_NODES
.filter(n => n.community === c.cid)
.map(n => ({ id: n.id, hidden: !cb.checked }));
nodesDS.update(updates);
updateSelectAllState();
});
item.innerHTML = `<div class="legend-dot" style="background:${c.color}"></div>
<span class="legend-label">${c.label}</span>
<span class="legend-count">${c.count}</span>`;
item.prepend(cb);
item.onclick = (e) => {
if (e.target === cb) return;
cb.checked = !cb.checked;
cb.dispatchEvent(new Event('change'));
};
legendEl.appendChild(item);
});
</script>
<script>
// Render hyperedges as shaded regions
const hyperedges = [];
// afterDrawing passes ctx already transformed to network coordinate space.
// Draw node positions raw — no manual pan/zoom/DPR math needed.
network.on('afterDrawing', function(ctx) {
hyperedges.forEach(h => {
const positions = h.nodes
.map(nid => network.getPositions([nid])[nid])
.filter(p => p !== undefined);
if (positions.length < 2) return;
ctx.save();
ctx.globalAlpha = 0.12;
ctx.fillStyle = '#6366f1';
ctx.strokeStyle = '#6366f1';
ctx.lineWidth = 2;
ctx.beginPath();
// Centroid and expanded hull in network coordinates
const cx = positions.reduce((s, p) => s + p.x, 0) / positions.length;
const cy = positions.reduce((s, p) => s + p.y, 0) / positions.length;
const expanded = positions.map(p => ({
x: cx + (p.x - cx) * 1.15,
y: cy + (p.y - cy) * 1.15
}));
ctx.moveTo(expanded[0].x, expanded[0].y);
expanded.slice(1).forEach(p => ctx.lineTo(p.x, p.y));
ctx.closePath();
ctx.fill();
ctx.globalAlpha = 0.4;
ctx.stroke();
// Label
ctx.globalAlpha = 0.8;
ctx.fillStyle = '#4f46e5';
ctx.font = 'bold 11px sans-serif';
ctx.textAlign = 'center';
ctx.fillText(h.label, cx, cy - 5);
ctx.restore();
});
});
</script>
</body>
</html>