Merge pull request #24 from Synthetixio/public-updates

Updates to publish

dashboard/About.py

@@ -0,0 +1,56 @@
+import streamlit as st
+from st_pages import Page, show_pages, add_page_title
+
+st.set_page_config(page_title="Synthetix Dashboards", layout="wide")
+
+hide_footer = """
+    <style>
+        footer {visibility: hidden;}
+    </style>
+"""
+st.markdown(hide_footer, unsafe_allow_html=True)
+
+st.markdown(
+    """
+
+# Synthetix V3 Analytics
+
+Discover the latest insights into the Synthetix V3 ecosystem.
+
+## Base Andromeda Release
+
+Andromeda, the latest Synthetix V3 deployment on the Base network, allows liquidity provision with USDC and seamless trading of perps using USDC collateral. For details, explore our [blog post](https://blog.synthetix.io/what-is-the-andromeda-release/).
+
+### Dashboards:
+- **Perps Stats**: Insights on volume, fees, and more across all markets.
+- **Perps Markets**: Insights for each perps market.
+- **Perps Monitor**: A consolidated view of all perps markets.
+- **Core Stats**: Key metrics of the Core system, including debt, collateral, and LP performance.
+- **Spot Markets**: Analysis of the USDC wrapper contracts.
+- **Perps Integrators**: Activity overview by integrator.
+- **Perps Accounts**: View recent activity by specific accounts.
+- **Perps Keepers**: Track community keepers' settlement transactions.
+
+## Additional Resources
+- V3 details: [documentation](https://docs.synthetix.io/v/v3/)
+- Updates: [blog](https://blog.synthetix.io/)
+- Community: [discord](https://discord.com/invite/AEdUHzt)
+"""
+)
+
+# page setup
+PAGE_PREFIX = "dashboard/" if st.secrets.settings.IS_CLOUD == "true" else ""
+SHOW_OP = True if st.secrets.settings.SHOW_OP == "true" else False
+
+home_page = [Page(f"{PAGE_PREFIX}About.py", "About")]
+op_pages = [
+    Page(f"{PAGE_PREFIX}pages/OP_Mainnet.py", "OP Mainnet"),
+]
+base_pages = [
+    Page(f"{PAGE_PREFIX}pages/Base_Mainnet.py", "Base Mainnet"),
+    Page(f"{PAGE_PREFIX}pages/Base_Sepolia.py", "Base Sepolia"),
+]
+
+# pages to show
+pages_to_show = home_page + (op_pages if SHOW_OP else []) + base_pages
+show_pages(pages_to_show)

dashboard/Dockerfile

@@ -15,4 +15,4 @@ RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
 
 # Command to run the service
-CMD ["streamlit", "run", "Home.py"]
+CMD ["streamlit", "run", "About.py"]

dashboard/modules/base_mainnet/core_stats.py

@@ -66,6 +66,16 @@ def fetch_data(filters):
         db,
     )
 
+    df_apr = pd.read_sql_query(
+        f"""
+        SELECT * FROM base_mainnet.fct_core_apr
+        WHERE ts >= '{start_date}' and ts <= '{end_date}'
+        and market_id != 1
+        ORDER BY ts
+    """,
+        db,
+    )
+
     db.close()
 
     return {
@@ -74,6 +84,7 @@ def fetch_data(filters):
         "account_delegation": df_account_delegation,
         "market_updated": df_market_updated,
         "pnl": df_pnl,
+        "apr": df_apr,
     }
 
 
@@ -122,6 +133,19 @@ def make_charts(data):
             "Pnl",
             "market_id",
         ),
+        "hourly_pnl": chart_bars(
+            data["apr"],
+            "ts",
+            ["hourly_pnl"],
+            "Hourly Pnl",
+        ),
+        "apr": chart_lines(
+            data["apr"],
+            "ts",
+            ["pnl_pct_24_hr", "pnl_pct_7_day", "apr"],
+            "APR",
+            smooth=True,
+        ),
     }
 
 
@@ -149,11 +173,13 @@ def main():
         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)
+        st.plotly_chart(charts["hourly_pnl"], 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.plotly_chart(charts["apr"], use_container_width=True)
 
     st.markdown("## Top Delegators")
     st.dataframe(

dashboard/modules/base_mainnet/perp_account.py

@@ -138,7 +138,7 @@ def make_charts(data):
 
 
 def main():
-    st.markdown("## Perps Account Lookup")
+    st.markdown("## V3 Perps Accounts")
     data = fetch_data(filters)
 
     ## date filter

dashboard/modules/base_mainnet/perp_integrators.py

@@ -80,7 +80,7 @@ def make_charts(data):
 
 def main():
     ## title
-    st.markdown("## Perps V3 Integrators")
+    st.markdown("## V3 Perps Integrators")
 
     ## inputs
     with st.expander("Filters") as expander:

dashboard/modules/base_mainnet/perp_keepers.py

@@ -92,7 +92,7 @@ def make_charts(data):
 
 def main():
     ## title
-    st.markdown("## Perps V3 Keepers")
+    st.markdown("## V3 Perps Keepers")
 
     ## inputs
     with st.expander("Filters") as expander:

dashboard/modules/base_mainnet/perp_markets.py

@@ -2,7 +2,7 @@
 import pandas as pd
 import plotly.express as px
 from datetime import datetime, timedelta
-from utils import chart_lines, chart_market_oi, export_data
+from utils import chart_lines, chart_oi, export_data
 from utils import get_connection
 
 ## set default filters
@@ -54,22 +54,17 @@ def make_charts(data, asset):
     df = data["market_history"][data["market_history"]["market_symbol"] == asset]
 
     return {
-        "funding": chart_lines(
-            df,
-            "ts",
-            ["funding_rate"],
-            "Funding Rate",
-        ),
-        "price": chart_lines(df, "ts", ["price"], "Price"),
+        "funding": chart_lines(df, "ts", ["funding_rate"], "Funding Rate", smooth=True),
+        "price": chart_lines(df, "ts", ["price"], "Price", smooth=True),
         "skew": chart_lines(df, "ts", ["skew"], "Market Skew"),
         "oi": chart_lines(df, "ts", ["size_usd"], "Open Interest $"),
-        "oi_pct": chart_market_oi(data["market_history"], asset),
+        "oi_pct": chart_oi(data["market_history"], "ts", "Open Interest %"),
     }
 
 
 def main():
     ## title
-    st.markdown("## Perps V3 Markets")
+    st.markdown("## V3 Perps Markets")
 
     ## inputs
     with st.expander("Filters") as expander:

dashboard/modules/base_mainnet/perp_monitor.py

@@ -143,7 +143,7 @@ def make_charts(data):
 
 def main():
     ## title
-    st.markdown("## Perps V3 Market Monitor")
+    st.markdown("## V3 Perps Monitor")
 
     ## inputs
     with st.expander("Filters") as expander:

dashboard/modules/base_mainnet/perp_stats.py

@@ -0,0 +1,117 @@
+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
+
+## set default filters
+filters = {
+    "start_date": datetime.today().date() - timedelta(days=14),
+    "end_date": datetime.today().date() + timedelta(days=1),
+    "resolution": "daily",
+}
+
+
+## data
+@st.cache_data(ttl=1)
+def fetch_data(filters):
+    # get filters
+    start_date = filters["start_date"]
+    end_date = filters["end_date"]
+    resolution = filters["resolution"]
+
+    # initialize connection
+    db = get_connection()
+
+    # read data
+    df_stats = pd.read_sql_query(
+        f"""
+        SELECT
+            ts,
+            volume,
+            trades,
+            fees,
+            liquidated_accounts,
+            liquidation_rewards,
+            cumulative_fees,
+            cumulative_volume            
+        FROM base_mainnet.fct_perp_stats_{resolution}
+        WHERE ts >= '{start_date}' and ts <= '{end_date}'
+        """,
+        db,
+    )
+
+    db.close()
+
+    return {
+        "stats": df_stats,
+    }
+
+
+@st.cache_data(ttl=1)
+def make_charts(data):
+    return {
+        "volume": chart_bars(data["stats"], "ts", ["volume"], "Volume"),
+        "cumulative_volume": chart_lines(
+            data["stats"], "ts", ["cumulative_volume"], "Cumulative Volume", smooth=True
+        ),
+        "cumulative_fees": chart_lines(
+            data["stats"], "ts", ["cumulative_fees"], "Cumulative Fees", smooth=True
+        ),
+        "fees": chart_bars(data["stats"], "ts", ["fees"], "Exchange Fees"),
+        "trades": chart_bars(data["stats"], "ts", ["trades"], "Trades"),
+        "account_liquidations": chart_bars(
+            data["stats"], "ts", ["liquidated_accounts"], "Account Liquidations"
+        ),
+        "liquidation_rewards": chart_bars(
+            data["stats"], "ts", ["liquidation_rewards"], "Liquidation Rewards"
+        ),
+    }
+
+
+def main():
+    ## title
+    st.markdown("## V3 Perps Stats")
+
+    ## inputs
+    with st.expander("Filters") as expander:
+        # resolution
+        filters["resolution"] = st.radio("Resolution", ["daily", "hourly"])
+
+        # date filter
+        filt_col1, filt_col2 = st.columns(2)
+        with filt_col1:
+            filters["start_date"] = st.date_input("Start", filters["start_date"])
+
+        with filt_col2:
+            filters["end_date"] = st.date_input("End", filters["end_date"])
+
+    ## fetch data
+    data = fetch_data(filters)
+
+    ## make the charts
+    charts = make_charts(data)
+
+    ## display
+    col1, col2 = st.columns(2)
+
+    with col1:
+        st.plotly_chart(charts["cumulative_volume"], use_container_width=True)
+        st.plotly_chart(charts["cumulative_fees"], use_container_width=True)
+        st.plotly_chart(charts["account_liquidations"], use_container_width=True)
+        st.plotly_chart(charts["liquidation_rewards"], use_container_width=True)
+        pass
+
+    with col2:
+        st.plotly_chart(charts["volume"], use_container_width=True)
+        st.plotly_chart(charts["fees"], use_container_width=True)
+        st.plotly_chart(charts["trades"], use_container_width=True)
+        pass
+
+    ## 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"])

dashboard/modules/base_sepolia/perp_account.py

@@ -138,7 +138,7 @@ def make_charts(data):
 
 
 def main():
-    st.markdown("## Perps Account Lookup")
+    st.markdown("## V3 Perps Accounts")
     data = fetch_data(filters)
 
     ## date filter

dashboard/modules/base_sepolia/perp_integrators.py

@@ -80,7 +80,7 @@ def make_charts(data):
 
 def main():
     ## title
-    st.markdown("## Perps V3 Integrators")
+    st.markdown("## V3 Perps Integrators")
 
     ## inputs
     with st.expander("Filters") as expander:

dashboard/modules/base_sepolia/perp_keepers.py

@@ -92,7 +92,7 @@ def make_charts(data):
 
 def main():
     ## title
-    st.markdown("## Perps V3 Keepers")
+    st.markdown("## V3 Perps Keepers")
 
     ## inputs
     with st.expander("Filters") as expander: