[{"type":"thinking","thinking":"Both vendored (Plotly 4.5MB, MathJax 1.1MB). Now scaffold the Django project. I'll write files directly. Let me create:\n\nweb/manage.py\nweb/requirements-web.txt\nweb/rhweb/__init__.py, settings.py, urls.py, wsgi.py\nweb/dashboard/__init__.py, apps.py, models.py, research_data.py, views.py, api.py, urls.py, migrations/__init__.py\ntemplates + static later.\n\nWrite them now. Keep code clean and complete.\n\nsettings.py: BASE_DIR = web dir; REPO_ROOT = parent. SECRET_KEY: local only, hardcode a dev key fine. INSTALLED_APPS: django.contrib.contenttypes, auth (for sessions/messages?), messages for feedback flash — needs sessions middleware + auth. To keep migrate simple include contenttypes, auth, sessions, messages, staticfiles, dashboard.\n\nDATABASES default → BASE_DIR/'feedback.db'.\n\nSTATIC: app static auto-detected via AppConfig (staticfiles app dirs). Good.\n\nresearch_data.py — the core. Functions:\n\n- repo paths\n- read_text(path)\n- parse_state(): sections dict from STATE.md; extract NEXT ACTION paragraph, CURRENT POSITION, blockers; return dict.\n- parse_checklist(): from NGUYEN.md §5 count [x], [~], [ ], and phases completion; return per-phase rows + totals.\n- db_query(sql, params): open ro connection.\n- get_results(), get_experiments(), get_derivations(), get_graveyard(), get_sessions()\n- get_experiment_sidecar(exp_id): find JSON in data dir matching E-NNN-*.json — careful: E-016b vs E-016... The experiments table has json_file column probably. Check db.py registration. Let me not assume; use experiments table json_file if present else glob.\n- CSV preview + chart data: read csv, columns; CHARTS config dict for known experiments; generic numeric detection.\n- render_markdown(text): protect math, markdown.convert with extensions tables/fenced_code.\n- md collections: results, derivations, graveyard, journal, resources — list files, render one.\n- run_logs(): list *-run.log with mtime/size.\n- tail_file(name, n): whitelist.\n- git_log(n): subprocess.\n\nCHARTS config: let me peek at a couple of CSV headers to define good charts. Let me check headers of key CSVs quickly: E-015 (li coefficients), E-023-assembly.csv, E-002 zeros, E-018 descent, E-009b, E-021-sinf-sf-curve.csv. Let me read first lines.\n\nviews.py: home, dashboard, roadmap, ledger(+detail), experiments(+detail), derivations(+detail), graveyard(+detail?), journal(+detail), resources(+detail), paper, live, feedback.\n\nTo reduce template count, use generic markdown detail view with collection param.\n\napi.py: health, status, logtail.\n\nmodels.py: Feedback.\n\nLet me check CSV headers and experiments table json_file values before writing research_data.py.","signature":""},{"type":"text","text":"Assets vendored. Checking CSV headers and db registrations to design the parsers and chart configs."},{"type":"tool_use","id":"Bash_21","name":"Bash","input":{"command":"cd /d/Python/Quantum/research/numerics/data && for f in E-002-zeros-first-10000.csv E-009b-suzuki-galerkin.csv E-015-li-coefficients-n3000.csv E-018-descent-profile.csv E-021-sinf-sf-curve.csv E-023-assembly.csv; do echo \"== $f\"; head -2 \"$f\"; done 2>/dev/null; ls | grep E-023","description":"Show headers of key experiment CSVs"},"extra_content":null},{"type":"tool_use","id":"Bash_22","name":"Bash","input":{"command":"cd /d/Python/Quantum && ./.venv/Scripts/python.exe -c \"\nimport sqlite3\ncon = sqlite3.connect('file:research/research.db?mode=ro', uri=True)\nfor r in con.execute('SELECT id, name, json_file, csv_file, row_count, date FROM experiments ORDER BY id'):\n    print(r)\nprint()\nfor r in con.execute('SELECT id, title, tag, track, date FROM results ORDER BY id'): print(r)\n\"","description":"Dump experiments and results tables from research.db"},"extra_content":null}]