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Design und Kreativität · SKILL.md

dashboard-ops

dashboard-ops

Operate and troubleshoot AlphaGPT's Streamlit dashboard, local state inputs, read-only DB/RPC views, Plotly visualizers, and emergency STOP control.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: dashboard-ops description: "Operate and troubleshoot AlphaGPT's Streamlit dashboard, local state inputs, read-only DB/RPC views, Plotly visualizers, and emergency STOP control." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Dashboard Ops

Use this sub-skill when the task is to launch, inspect, fixture, or troubleshoot AlphaGPT's Streamlit monitoring dashboard. It covers the dashboard entrypoint, DashboardService, Plotly visualizers, local state/log files, the market overview query, auto-refresh behavior, and the emergency STOP button.

Do not route here for

  • Trading decisions, live runner lifecycle, portfolio risk policy, or execution safety; use live-strategy.
  • Populating Postgres/Timescale tables or debugging Birdeye/DexScreener ingestion; use data-pipeline.
  • Training, validating, or rewriting formulas in best_meme_strategy.json; use factor-mining.

Read or run

  1. Read references/dashboard-reference.md for launch workflow, UI layout, local file schemas, market query, visualizer inputs, log tail, auto-refresh, empty states, and read-only service prerequisites.
  2. Read references/troubleshooting.md for Streamlit/import/version errors, empty panels, unknown wallet, DB failures, missing/malformed files, and STOP button caveats.
  3. Run scripts/alpha_gpt_dashboard_fixture.py to create sample portfolio_state.json, best_meme_strategy.json, and strategy.log files in a chosen directory without DB, RPC, or network access.
  4. Use the root environment checker with --scope dashboard for import/env checks.
  5. Read ../../references/install-and-operations.md when dashboard import problems appear to be dependency or Solana-pin related.

Safe default workflow

  1. Decide whether the user needs fixture/offline inspection or a live Streamlit server.
  2. For fixture work, write sample state files into an isolated output directory and do not contact DB/RPC.
  3. For live dashboard work, confirm the working directory contains or can read portfolio_state.json, best_meme_strategy.json, and strategy.log when expected.
  4. Confirm DB env vars before expecting the Market Scanner tab to show rows.
  5. Confirm QUICKNODE_RPC_URL and wallet/private-key readability only when wallet balance display matters.
  6. Warn that the dashboard STOP button writes a local STOP_SIGNAL; it only affects a runner watching the same path or configured stop path.
  7. Treat an empty panel as a diagnosable state, not automatically a crash.

Core runtime facts

  • dashboard/app.py defines a Streamlit page with wallet status, refresh, emergency stop, metrics, Portfolio/Market Scanner/Logs tabs, and optional auto-refresh.
  • DashboardService.get_market_overview(self, limit=50) queries the latest ohlcv time joined with tokens, ordered by liquidity.
  • DashboardService.load_portfolio() reads portfolio_state.json and derives pnl_pct when price fields exist.
  • DashboardService.load_strategy_info() displays best_meme_strategy.json or a not-trained placeholder.
  • DashboardService.get_recent_logs(n=50) tails strategy.log if present.
  • plot_pnl_distribution(portfolio_df) expects symbol and pnl_pct; plot_market_scatter(market_df) expects liquidity, volume, fdv, and symbol.

Quick route map

User intentRead/runNotes
"Create dashboard test files."scripts/alpha_gpt_dashboard_fixture.pyNo DB/RPC/network; use --output-dir.
"Why is the portfolio empty?"references/troubleshooting.mdMissing file, empty JSON, or no positions can all be valid.
"Why is Market Scanner blank?"references/dashboard-reference.md and references/troubleshooting.mdCheck DB join/time assumptions and ingestion.
"What does EMERGENCY STOP do?"references/dashboard-reference.mdIt writes a local file; it is not a chain transaction canceler.
"Can I run Streamlit now?"references/dashboard-reference.mdConfirm env, working directory, and whether live DB/RPC is authorized.

Verification stance

The native dashboard is a help-only or tiny-fixture candidate. Prefer static checks and the bundled fixture generator for verification. Do not require a live Streamlit server, wallet, DB, RPC endpoint, or network connection unless the user explicitly authorizes live operational checks and supplies the required services.

Gespeicherte Skills