Base Sepolia

dashboard/modules/base_sepolia/core_stats.py

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+import streamlit as st
+import pandas as pd
+import sqlite3
+import plotly.express as px
+from datetime import datetime, timedelta
+from utils import get_connection
+from utils import chart_bars, chart_lines, export_data
+
+
+## data
+@st.cache_data(ttl=1)
+def fetch_data():
+    # initialize connection
+    db = get_connection()
+
+    # get account data
+    df_collateral = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_sepolia.fct_core_pool_collateral
+    """,
+        db,
+    )
+
+    df_delegation = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_sepolia.fct_core_pool_delegation
+    """,
+        db,
+    )
+
+    df_account_delegation = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_sepolia.fct_core_account_delegation
+    """,
+        db,
+    )
+
+    df_market_updated = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_sepolia.fct_core_market_updated order by ts
+    """,
+        db,
+    )
+
+    df_pnl = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_sepolia.fct_perp_pnl order by ts
+    """,
+        db,
+    )
+
+    db.close()
+
+    return {
+        "collateral": df_collateral,
+        "delegation": df_delegation,
+        "account_delegation": df_account_delegation,
+        "market_updated": df_market_updated,
+        "pnl": df_pnl,
+    }
+
+
+@st.cache_data(ttl=1)
+def make_charts(data):
+    return {
+        "collateral": chart_lines(
+            data["collateral"],
+            "ts",
+            ["amount_deposited"],
+            "Collateral Deposited",
+            "collateral_type",
+        ),
+        "delegation": chart_lines(
+            data["delegation"],
+            "ts",
+            ["amount_delegated"],
+            "Collateral Delegated",
+            "collateral_type",
+        ),
+        "reported_debt": chart_lines(
+            data["market_updated"],
+            "ts",
+            ["reported_debt"],
+            "Reported Debt",
+            "market_id",
+        ),
+        "credit_capacity": chart_lines(
+            data["market_updated"],
+            "ts",
+            ["credit_capacity"],
+            "Credit Capacity",
+            "market_id",
+        ),
+        "net_issuance": chart_lines(
+            data["market_updated"],
+            "ts",
+            ["net_issuance"],
+            "Net Issuance",
+            "market_id",
+        ),
+        "pnl": chart_lines(
+            data["pnl"],
+            "ts",
+            ["market_pnl"],
+            "Pnl",
+            "market_id",
+        ),
+    }
+
+
+def main():
+    data = fetch_data()
+
+    ## make the charts
+    charts = make_charts(data)
+
+    ## display
+    st.markdown("## V3 Core")
+    col1, col2 = st.columns(2)
+    with col1:
+        st.plotly_chart(charts["collateral"], use_container_width=True)
+        st.plotly_chart(charts["reported_debt"], use_container_width=True)
+        st.plotly_chart(charts["net_issuance"], use_container_width=True)
+
+    with col2:
+        st.plotly_chart(charts["delegation"], use_container_width=True)
+        st.plotly_chart(charts["credit_capacity"], use_container_width=True)
+        st.plotly_chart(charts["pnl"], use_container_width=True)
+
+    st.markdown("## Top Delegators")
+    st.dataframe(
+        data["account_delegation"]
+        .sort_values("amount_delegated", ascending=False)
+        .head(25)
+    )
+
+    st.markdown("## Markets")
+
+    st.markdown("### sUSDC Market")
+    st.dataframe(
+        data["market_updated"][data["market_updated"]["market_id"] == 1]
+        .sort_values("ts", ascending=False)
+        .head(25)
+    )
+
+    st.markdown("### Perps Markets")
+    st.dataframe(
+        data["market_updated"][data["market_updated"]["market_id"] == 2]
+        .sort_values("ts", ascending=False)
+        .head(25)
+    )
+
+    ## export
+    exports = [{"title": export, "df": data[export]} for export in data.keys()]
+    with st.expander("Exports"):
+        for export in exports:
+            export_data(export["title"], export["df"])