- Created manifest.json to track file metadata for the project. - Added plan.md detailing the implementation strategy for the ba-auto-daily automation script, including feature prioritization and prerequisites.
307 lines
132 KiB
HTML
307 lines
132 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>graphify - graphify-out/graph.html</title>
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<script src="https://unpkg.com/vis-network@9.1.6/standalone/umd/vis-network.min.js"
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integrity="sha384-Ux6phic9PEHJ38YtrijhkzyJ8yQlH8i/+buBR8s3mAZOJrP1gwyvAcIYl3GWtpX1"
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crossorigin="anonymous"></script>
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<style>
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* { box-sizing: border-box; margin: 0; padding: 0; }
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body { background: #0f0f1a; color: #e0e0e0; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; display: flex; height: 100vh; overflow: hidden; }
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#graph { flex: 1; }
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#sidebar { width: 280px; background: #1a1a2e; border-left: 1px solid #2a2a4e; display: flex; flex-direction: column; overflow: hidden; }
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#search-wrap { padding: 12px; border-bottom: 1px solid #2a2a4e; }
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#search { width: 100%; background: #0f0f1a; border: 1px solid #3a3a5e; color: #e0e0e0; padding: 7px 10px; border-radius: 6px; font-size: 13px; outline: none; }
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#search:focus { border-color: #4E79A7; }
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#search-results { max-height: 140px; overflow-y: auto; padding: 4px 12px; border-bottom: 1px solid #2a2a4e; display: none; }
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.search-item { padding: 4px 6px; cursor: pointer; border-radius: 4px; font-size: 12px; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
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.search-item:hover { background: #2a2a4e; }
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#info-panel { padding: 14px; border-bottom: 1px solid #2a2a4e; min-height: 140px; }
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#info-panel h3 { font-size: 13px; color: #aaa; margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.05em; }
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#info-content { font-size: 13px; color: #ccc; line-height: 1.6; }
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#info-content .field { margin-bottom: 5px; }
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#info-content .field b { color: #e0e0e0; }
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#info-content .empty { color: #555; font-style: italic; }
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.neighbor-link { display: block; padding: 2px 6px; margin: 2px 0; border-radius: 3px; cursor: pointer; font-size: 12px; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; border-left: 3px solid #333; }
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.neighbor-link:hover { background: #2a2a4e; }
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#neighbors-list { max-height: 160px; overflow-y: auto; margin-top: 4px; }
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#legend-wrap { flex: 1; overflow-y: auto; padding: 12px; }
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#legend-wrap h3 { font-size: 13px; color: #aaa; margin-bottom: 10px; text-transform: uppercase; letter-spacing: 0.05em; }
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.legend-count { color: #666; font-size: 11px; }
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#stats { padding: 10px 14px; border-top: 1px solid #2a2a4e; font-size: 11px; color: #555; }
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#legend-controls label:hover { color: #e0e0e0; }
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.legend-cb, #select-all-cb { appearance: none; -webkit-appearance: none; width: 14px; height: 14px; border: 1.5px solid #3a3a5e; border-radius: 3px; background: #0f0f1a; cursor: pointer; position: relative; flex-shrink: 0; }
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.legend-cb:checked::after, #select-all-cb:checked::after { content: ''; position: absolute; left: 3.5px; top: 1px; width: 4px; height: 7px; border: solid #fff; border-width: 0 2px 2px 0; transform: rotate(45deg); }
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#select-all-cb:indeterminate { background: #4E79A7; border-color: #4E79A7; }
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#select-all-cb:indeterminate::after { content: ''; position: absolute; left: 2px; top: 5px; width: 8px; height: 2px; background: #fff; border: none; transform: none; }
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</style>
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</head>
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<body>
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<div id="graph"></div>
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<div id="sidebar">
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<div id="search-wrap">
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<input id="search" type="text" placeholder="Search nodes..." autocomplete="off">
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<div id="search-results"></div>
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</div>
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<div id="info-panel">
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<h3>Node Info</h3>
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<div id="info-content"><span class="empty">Click a node to inspect it</span></div>
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</div>
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<div id="legend-wrap">
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<h3>Communities</h3>
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<div id="legend-controls">
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<label><input type="checkbox" id="select-all-cb" checked onchange="toggleAllCommunities(!this.checked)">Select All</label>
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</div>
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<div id="legend"></div>
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</div>
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<div id="stats">159 nodes · 176 edges · 23 communities</div>
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</div>
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<script>
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const RAW_NODES = [{"id": "ba_dailies", "label": "ba_dailies.sh", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 29.4, "font": {"size": 12, "color": "#ffffff"}, "title": "ba_dailies.sh", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 11}, {"id": "ba_dailies_sh__entry", "label": "ba_dailies.sh script", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 17.1, "font": {"size": 12, "color": "#ffffff"}, "title": "ba_dailies.sh script", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 4}, {"id": "ba_dailies_display", "label": "DISPLAY", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "DISPLAY", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 1}, {"id": "ba_dailies_xauthority", "label": "XAUTHORITY", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "XAUTHORITY", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 1}, {"id": "ba_dailies_get_window", "label": "get_window()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "get_window()", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 1}, {"id": 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"title": "press_esc()", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 3}, {"id": "ba_dailies_focus_game", "label": "focus_game()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 17.1, "font": {"size": 12, "color": "#ffffff"}, "title": "focus_game()", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 4}, {"id": "ba_dailies_do_mailbox", "label": "do_mailbox()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 22.4, "font": {"size": 12, "color": "#ffffff"}, "title": "do_mailbox()", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "ba_dailies.sh", "file_type": "code", "degree": 7}, {"id": "ba_dailies_do_cafe_room", "label": 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"detect_and_click.py", "community": 4, "community_name": "Cafe Room 2 UI & Detector", "source_file": "scripts/detect_and_click.py", "file_type": "code", "degree": 4}, {"id": "scripts_detect_and_click_screenshot", "label": "screenshot()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "screenshot()", "community": 4, "community_name": "Cafe Room 2 UI & Detector", "source_file": "scripts/detect_and_click.py", "file_type": "code", "degree": 1}, {"id": "scripts_detect_and_click_find_sparkles", "label": "find_sparkles()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "find_sparkles()", "community": 4, "community_name": "Cafe Room 2 UI & Detector", "source_file": "scripts/detect_and_click.py", "file_type": "code", "degree": 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{"background": "#ffffff", "border": "#4E79A7"}}, "size": 15.3, "font": {"size": 12, "color": "#ffffff"}, "title": "nik-gpu (Linux box running the Blue Archive client and X display)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 3}, {"id": "claude_deployment_pipeline", "label": "scp/rsync + ssh deployment of scripts/assets to nik-gpu", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 18.8, "font": {"size": 12, "color": "#ffffff"}, "title": "scp/rsync + ssh deployment of scripts/assets to nik-gpu", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "rationale", "degree": 5}, {"id": "claude_local_detection_pipeline", "label": "Single local screenshot->detect->click pipeline on nik-gpu (avoids SSH round-trip for the fast-moving sparkle)", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 13.5, "font": {"size": 0, "color": "#ffffff"}, "title": "Single local screenshot->detect->click pipeline on nik-gpu (avoids SSH round-trip for the fast-moving sparkle)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "rationale", "degree": 2}, {"id": "claude_screenshots_dir", "label": "screenshots/ reference-capture directory", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 15.3, "font": {"size": 12, "color": "#ffffff"}, "title": "screenshots/ reference-capture directory", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 3}, {"id": "claude_scratchpad_dir", "label": "./scratchpad working-file convention", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 13.5, "font": {"size": 0, "color": "#ffffff"}, "title": "./scratchpad working-file convention", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 2}, {"id": "claude_venv", "label": "~/.venvs/ba-auto-daily Python venv (opencv-python, numpy)", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 18.8, "font": {"size": 12, "color": "#ffffff"}, "title": "~/.venvs/ba-auto-daily Python venv (opencv-python, numpy)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 5}, {"id": "claude_xdotool", "label": "xdotool (window focus, clicks, keypresses dependency)", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 13.5, "font": {"size": 0, "color": "#ffffff"}, "title": "xdotool (window focus, clicks, keypresses dependency)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 2}, {"id": "claude_scrot", "label": "scrot (screenshot capture dependency)", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 13.5, "font": {"size": 0, "color": "#ffffff"}, "title": "scrot (screenshot capture dependency)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 2}, {"id": "claude_opencv_python", "label": "opencv-python dependency", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "opencv-python dependency", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 1}, {"id": "claude_numpy", "label": "numpy dependency", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "numpy dependency", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "concept", "degree": 1}, {"id": "claude_known_gap_cafe_flow", "label": "Known gap: unconfirmed rotated-student popup / zoom-center / rank-up popup handling in do_cafe", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 13.5, "font": {"size": 0, "color": "#ffffff"}, "title": "Known gap: unconfirmed rotated-student popup / zoom-center / rank-up popup handling in do_cafe", "community": 2, "community_name": "Combat/Story Feature Roadmap", "source_file": "CLAUDE.md", "file_type": "rationale", "degree": 2}, {"id": "claude_performance_note_cold_start", "label": "Performance note: per-attempt Python/OpenCV cold start (200-500ms) risk against a fast-moving sparkle", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "Performance note: per-attempt Python/OpenCV cold start (200-500ms) risk against a fast-moving sparkle", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": "CLAUDE.md", "file_type": "rationale", "degree": 1}, {"id": "ba_dailies_script", "label": "ba_dailies.sh (entry-point automation script)", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 20.6, "font": {"size": 12, "color": "#ffffff"}, "title": "ba_dailies.sh (entry-point automation script)", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "CLAUDE.md", "file_type": "code", "degree": 6}, {"id": "ba_dailies_cafe_max_clicks_per_room", "label": "CAFE_MAX_CLICKS_PER_ROOM constant", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.8, "font": {"size": 0, "color": "#ffffff"}, "title": "CAFE_MAX_CLICKS_PER_ROOM constant", "community": 1, "community_name": "ba_dailies.sh Script & Cafe Claim", "source_file": "CLAUDE.md", "file_type": "code", "degree": 1}, {"id": "scripts_detect_and_click_script", "label": "detect_and_click.py (color-masked template-match sparkle detector/clicker)", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 31.2, "font": {"size": 12, "color": "#ffffff"}, "title": "detect_and_click.py (color-masked template-match sparkle detector/clicker)", "community": 0, "community_name": "Detection Pipeline & Architecture", "source_file": 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const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Detection Pipeline & Architecture", "count": 26}, {"cid": 1, "color": "#F28E2B", "label": "ba_dailies.sh Script & Cafe Claim", "count": 19}, {"cid": 2, "color": "#E15759", "label": "Combat/Story Feature Roadmap", "count": 19}, {"cid": 3, "color": "#76B7B2", "label": "AP/Task Sweep Features", "count": 15}, {"cid": 4, "color": "#59A14F", "label": "Cafe Room 2 UI & Detector", "count": 15}, {"cid": 5, "color": "#EDC948", "label": "Cafe Income Popup UI", "count": 7}, {"cid": 6, "color": "#B07AA1", "label": "Cafe Room 1 UI", "count": 7}, {"cid": 7, "color": "#FF9DA7", "label": "Cafe Income Reference Capture", "count": 6}, {"cid": 8, "color": "#9C755F", "label": "Game Main Screen UI", "count": 6}, {"cid": 9, "color": "#BAB0AC", "label": "Student Rotation Popup", "count": 5}, {"cid": 10, "color": "#4E79A7", "label": "Shop Automation (Planned)", "count": 4}, {"cid": 11, "color": "#F28E2B", "label": "Sparkle Zoomed-Out Calibration", "count": 4}, {"cid": 12, "color": "#E15759", "label": "Student Rank-Up Popup Stage 1", "count": 4}, {"cid": 13, "color": "#76B7B2", "label": "Sparkle Template Asset", "count": 3}, {"cid": 14, "color": "#59A14F", "label": "Group/Mini Story (Planned)", "count": 3}, {"cid": 15, "color": "#EDC948", "label": "Student Rank-Up Popup Stage 2", "count": 3}, {"cid": 16, "color": "#B07AA1", "label": "Battle Pass Claim (Planned)", "count": 2}, {"cid": 17, "color": "#FF9DA7", "label": "Crafting Automation (Planned)", "count": 2}, {"cid": 18, "color": "#9C755F", "label": "Club/Group AP Claim (Planned)", "count": 2}, {"cid": 19, "color": "#BAB0AC", "label": "Sparkle Zoomed-Centered Precondition", "count": 2}, {"cid": 20, "color": "#4E79A7", "label": "Sparkle Speech-Bubble Occlusion", "count": 2}, {"cid": 21, "color": "#F28E2B", "label": "Rank-Up Popup Dismissal Flow", "count": 2}, {"cid": 22, "color": "#E15759", "label": "Sparkle Sample Reference", "count": 1}];
|
|
|
|
// HTML-escape helper — prevents XSS when injecting graph data into innerHTML
|
|
function esc(s) {
|
|
return String(s).replace(/&/g,'&').replace(/</g,'<').replace(/>/g,'>').replace(/"/g,'"').replace(/'/g,''');
|
|
}
|
|
|
|
// 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 = [{"id": "tier1_no_ocr_features", "label": "Tier 1 \u2014 high-priority, no-OCR-needed features", "nodes": ["plan_stamina_ap_sweep", "plan_club_group_ap_claim", "plan_momo_talk"], "relation": "form", "confidence": "EXTRACTED", "confidence_score": 1.0, "source_file": "plan.md"}, {"id": "tier2_sweep_style_features", "label": "Tier 2 \u2014 sweep-style AP consumption features sharing the buy-tickets/sweep-N-times/color-detect shape", "nodes": ["plan_commissions", "plan_scrimmage", "plan_bounty", "plan_story_ap_sweep"], "relation": "form", "confidence": "EXTRACTED", "confidence_score": 1.0, "source_file": "plan.md"}, {"id": "cafe_automation_pipeline", "label": "Cafe sparkle-click automation pipeline (focus -> loop-detect-click -> claim)", "nodes": ["ba_dailies_script", "ba_dailies_focus_game", "ba_dailies_do_cafe", "scripts_detect_and_click_script", "assets_cafe_sparkle_image"], "relation": "participate_in", "confidence": "EXTRACTED", "confidence_score": 1.0, "source_file": "CLAUDE.md"}];
|
|
// 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> |