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.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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+-----END CERTIFICATE-----

README.md

@@ -1,12 +1,6 @@
 ---
-title: Hyper Dashboard
-emoji: 💻
-colorFrom: indigo
-colorTo: indigo
-sdk: gradio
-sdk_version: 5.47.2
+title: hyper_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

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+# -*- coding: utf-8 -*-
+import asyncio
+from pymongo import MongoClient
+import aiohttp
+import pandas as pd
+import requests
+import json
+import urllib.parse
+import gradio as gr
+import datetime
+import os
+
+wallets = [
+    "41KL7hbeA2dDuX6gCUFhVaozACnx2hLvGBuY4tgrpJ31",
+    "5Xihd2FdAXZnER7HWjT8GiZm14hyPiUpGfqLLL86yaa9",
+    "fYYLvdb82NkUQ6EgT7U6N52A2cN6V1dBKEJuvDwwjKj"
+]
+
+def parse_solscan_results(results):
+    if isinstance(results, dict):
+        results = [results]
+
+    records = []
+
+    for entry in results:
+        data = entry.get("data", {})
+        if not data or not data.get("success"):
+            continue
+
+        payload = data.get("data", {})
+
+        # Native SOL
+        native = payload.get("native_balance", {})
+        if native:
+            records.append({
+                "symbol": native.get("token_symbol", "SOL"),
+                "balance": native.get("balance", 0),
+                "value": native.get("value", 0)
+            })
+
+        # Tokens
+        for token in payload.get("tokens", []):
+            records.append({
+                "symbol": token.get("token_symbol"),
+                "balance": token.get("balance", 0),
+                "value": token.get("value", 0)
+            })
+
+    df = pd.DataFrame(records, columns=["address","symbol", "balance", "value"])
+
+    if not df.empty:
+        df = df.groupby(["symbol"], as_index=False).agg({
+            "balance": "sum",
+            "value": "sum"
+        })
+
+    return df
+
+def parse_solscan_results_addresses(results):
+    if isinstance(results, dict):
+        results = [results]
+
+    records = []
+
+    for entry in results:
+        address = entry.get("address")
+        data = entry.get("data", {})
+
+        if not data or not data.get("success"):
+            continue
+
+        payload = data.get("data", {})
+
+        # Native SOL
+        native = payload.get("native_balance", {})
+        if native:
+            records.append({
+                "address": address,
+                "symbol": native.get("token_symbol", "SOL"),
+                "balance": native.get("balance", 0),
+                "value": native.get("value", 0)
+            })
+
+        # Tokens
+        for token in payload.get("tokens", []):
+            records.append({
+                "address": address,
+                "symbol": token.get("token_symbol"),
+                "balance": token.get("balance", 0),
+                "value": token.get("value", 0)
+            })
+
+    # Make sure DataFrame has the expected columns even if empty
+    df = pd.DataFrame(records, columns=["address", "symbol", "balance", "value"])
+
+    # Only group if DataFrame is not empty
+    if not df.empty:
+        df = df.groupby(["address", "symbol"], as_index=False).agg({
+            "balance": "sum",
+            "value": "sum"
+        })
+
+    return df
+
+
+async def get_sol_balances(sol_addresses):
+    SOLSCAN_KEY = os.getenv('SOLSCAN_KEY')
+    headers = {
+        "token": SOLSCAN_KEY
+    }
+
+    async def fetch_wallet(session, wallet_address):
+        url = f"https://pro-api.solscan.io/v2.0/account/portfolio?address={wallet_address}&exclude_low_score_tokens=false"
+        async with session.get(url, headers=headers) as response:
+            if response.status != 200:
+                return {"address": wallet_address, "error": f"HTTP {response.status}"}
+            try:
+                data = await response.json()
+            except Exception as e:
+                return {"address": wallet_address, "error": str(e)}
+            res = {"address": wallet_address, "data": data}
+            return parse_solscan_results_addresses([res])
+
+    async with aiohttp.ClientSession() as session:
+        tasks = [fetch_wallet(session, addr) for addr in sol_addresses]
+        results = await asyncio.gather(*tasks)
+        final_df = pd.concat(results, ignore_index=True)
+        final_df = final_df.groupby(["address","symbol"], as_index=False).agg({
+            "balance": "sum",
+            "value": "sum"
+        })
+        final_df = final_df[final_df['symbol'].isin(['SOL', 'WSOL','HYPER'])]
+        return final_df.groupby('symbol').agg({"balance":"sum","value":"sum"}).reset_index()
+    
+
+async def get_all_dfs():
+    starting_df = pd.DataFrame([{"symbol":"HYPER","balance":5000000,"value":68500},{"symbol":"SOL","balance":240,"value":42960}])
+    final_df = await get_sol_balances(wallets)
+    hyper_price = float(final_df.loc[final_df['symbol']=='HYPER','value'] / final_df.loc[final_df['symbol']=='HYPER','balance'])
+    lp_df = pd.DataFrame([{"symbol":"HYPER","balance":2_800_000,"value":2_800_000*hyper_price}])
+    total_balances = pd.concat([final_df,lp_df]).groupby('symbol').agg({"balance":"sum","value":"sum"}).reset_index()
+    pnl = total_balances['value'].sum() - starting_df['value'].sum()
+    pnl = f"{pnl:,.2f}"
+    return starting_df,lp_df,final_df,total_balances,pnl
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## HYPER Balances ")
+
+    starting = gr.DataFrame(label= "Starting Balances ")
+    lp = gr.DataFrame(label="LP Position Balances")
+    final = gr.DataFrame(label = "Wallet Balances")
+    total_balances = gr.DataFrame(label="Total")
+    pnl = gr.Textbox(label="PnL ($) (AUM)")
+
+    demo.load(
+    fn= get_all_dfs, 
+    inputs = [],
+    outputs=[starting,lp,final,total_balances,pnl]
+    )
+
+demo.launch(debug=True, share=True)
+

requirements.txt

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+pandas
+requests
+gradio
+pymongo[srv]