Upload folder using huggingface_hub

README.md

@@ -1,12 +1,6 @@
 ---
-title: Patchy Dashboard
-emoji: 📊
-colorFrom: pink
-colorTo: purple
-sdk: gradio
-sdk_version: 5.33.2
+title: patchy_dashboard
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 5.31.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,73 @@
+from pymongo import MongoClient
+import pandas as pd
+import requests
+import json
+import urllib.parse
+import gradio as gr
+import datetime
+import os
+
+client = MongoClient(os.getenv('MONGO_DB_URI'))
+db = client["Patchy_balances"]
+collection = db["balance_data"]
+
+def load_from_mongo():
+    latest = collection.find_one(sort=[("timestamp", -1)])
+    if latest:
+        df0 = pd.DataFrame(latest["df0"]).T
+        df1 = pd.DataFrame(latest["df1"]).T
+        df2 = pd.DataFrame(latest["df2"]).T
+        df3 = pd.DataFrame(latest["df3"]).T
+        df4 = pd.DataFrame(latest["df4"]).T
+
+        return (
+            df0, latest["total0"],
+            df1, latest["total1"],
+            df2, latest["total2"],
+            df3, latest["total3"],
+            df4, latest["total4"],
+            f"PNL : {latest['pnl']:,.2f}",
+            f"LP Rewards : {latest['rewards']:,.2f}"
+        )
+    else:
+        empty_df = pd.DataFrame()
+        return empty_df, 0, empty_df, 0, empty_df, 0, empty_df, 0, empty_df, 0,"PNL : $0.00","LP Rewards : $0.00"
+
+if __name__ == "__main__":
+    with gr.Blocks() as demo:
+        gr.Markdown("## Patchy Balances and PnL")
+
+        df0_out = gr.Dataframe(label="Starting Balances")
+        txt0_out = gr.Textbox(label="Starting Value Total")
+
+        df2_out = gr.Dataframe(label="Wallet Balances")
+        txt2_out = gr.Textbox(label="Wallet Value Total")
+
+        df3_out = gr.Dataframe(label="JUP Limit Balances")
+        txt3_out = gr.Textbox(label="JUP Limit Value Total")
+
+        df4_out = gr.Dataframe(label="LP Balances")
+        txt4_out = gr.Textbox(label="LP Balances Value Total")
+
+        reward_out = gr.Textbox(label="LP Rewards")
+
+        df1_out = gr.Dataframe(label="Total Balances")
+        txt1_out = gr.Textbox(label="Current Value Total")
+
+        pnl_out = gr.Textbox(label="PNL (AUM Model)")
+
+        # Load from MongoDB on app load (sync function)
+        demo.load(
+            fn=load_from_mongo,
+            inputs=[],
+            outputs=[
+                df0_out, txt0_out,
+                df1_out, txt1_out,
+                df2_out, txt2_out,
+                df3_out, txt3_out,
+                df4_out, txt4_out,
+                pnl_out,reward_out
+            ]
+        )
+
+    demo.launch(debug=True, share=True)

requirements.txt

@@ -0,0 +1,4 @@
+pandas
+requests
+gradio
+pymongo[srv]