61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
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"""
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Optional Streamlit dashboard for FQBM (Sheet 8 + workbook).
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Run: streamlit run scripts/streamlit_dashboard.py
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Requires: pip install streamlit
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"""
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import streamlit as st
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from fqbm.state import FQBMState
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from fqbm.workbook.runner import run_workbook
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from fqbm.scenarios import list_scenarios, get_scenario
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st.set_page_config(page_title="FQBM Dashboard", layout="wide")
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st.title("Four-Quadrant Balance Sheet Matrix — Dashboard")
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scenario_names = ["(custom)"] + list_scenarios()
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scenario = st.sidebar.selectbox("Scenario (Part XI)", scenario_names)
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mc_runs = st.sidebar.slider("Monte Carlo runs", 0, 500, 100)
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run_btn = st.sidebar.button("Run workbook")
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if run_btn:
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with st.spinner("Running workbook..."):
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if scenario == "(custom)":
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state = FQBMState(R=200, Deposits=1000, Loans=900, E_b=100)
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st.session_state["result"] = run_workbook(initial_state=state, mc_runs=mc_runs)
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else:
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st.session_state["result"] = run_workbook(scenario=scenario, mc_runs=mc_runs)
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st.session_state["scenario_used"] = scenario
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result = st.session_state.get("result")
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if not result:
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st.info("Select a scenario and click **Run workbook** in the sidebar to run the full FQBM workbook.")
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st.stop()
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state = result["state"]
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dashboard = result["dashboard"]
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st.subheader("State snapshot")
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cols = st.columns(4)
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names = ["B", "R", "C", "Loans", "Deposits", "E_cb", "E_b", "S", "K", "Spread", "O"]
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vals = state.to_vector()
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for i, (n, v) in enumerate(zip(names, vals)):
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cols[i % 4].metric(n, f"{v:,.1f}")
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st.subheader("Key ratios")
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ratios = dashboard.get("ratios", {})
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for k, v in ratios.items():
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st.write(f"**{k}**: {v:.4f}")
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st.subheader("Stress tables")
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stress = result["stress"]
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st.dataframe(stress["liquidity_stress"], use_container_width=True)
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st.dataframe(stress["capital_stress"], use_container_width=True)
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if dashboard.get("mc_summary"):
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st.subheader("Monte Carlo summary")
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ms = dashboard["mc_summary"]
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st.write(f"P(insolvency): {ms.get('p_insolvency', 0):.2%}")
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st.write(f"P(reserve breach): {ms.get('p_reserve_breach', 0):.2%}")
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st.write(f"Inflation (mean ± std): {ms.get('inflation_mean', 0):.4f} ± {ms.get('inflation_std', 0):.4f}")
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st.write(f"P(debt unsustainable): {ms.get('p_debt_unsustainable', 0):.2%}")
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