From eb8a0d14d24cf9f80be6c154bb627f5ed85f2a15 Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Mon, 17 Apr 2023 21:47:19 -0300
Subject: [PATCH] (feat) update XE Token analyzer with new components

---
 pages/2_🧙_XE_Token_Analyzer.py | 35 +++++++++++++++++++--------------
 1 file changed, 20 insertions(+), 15 deletions(-)

diff --git a/pages/2_🧙_XE_Token_Analyzer.py b/pages/2_🧙_XE_Token_Analyzer.py
index d1a066d..9cfbfb9 100644
--- a/pages/2_🧙_XE_Token_Analyzer.py
+++ b/pages/2_🧙_XE_Token_Analyzer.py
@@ -1,5 +1,3 @@
-import time
-
 import pandas as pd
 import streamlit as st
 import plotly.express as px
@@ -7,37 +5,42 @@ import CONFIG
 from utils.coingecko_utils import CoinGeckoUtils
 from utils.miner_utils import MinerUtils
 
-@st.cache(suppress_st_warning=True, allow_output_mutation=True)
+cg_utils = CoinGeckoUtils()
+miner_utils = MinerUtils()
+
+@st.cache_data
 def get_all_coins_df():
-    return CoinGeckoUtils().get_all_coins_df()
+    return cg_utils.get_all_coins_df()
 
-@st.cache(suppress_st_warning=True, allow_output_mutation=True)
+@st.cache_data
 def get_all_exchanges_df():
-    return CoinGeckoUtils().get_all_exchanges_df()
+    return cg_utils.get_all_exchanges_df()
 
-@st.cache(suppress_st_warning=True, allow_output_mutation=True)
+@st.cache_data
 def get_miner_stats_df():
-    return MinerUtils().get_miner_stats_df()
+    return miner_utils.get_miner_stats_df()
 
-@st.cache(suppress_st_warning=True, allow_output_mutation=True)
+@st.cache_data
 def get_coin_tickers_by_id_list(coins_id: list):
-    return CoinGeckoUtils().get_coin_tickers_by_id_list(coins_id)
+    return cg_utils.get_coin_tickers_by_id_list(coins_id)
 
 st.set_page_config(layout='wide')
 st.title("🧙‍Cross Exchange Token Analyzer")
 st.write("---")
+
 with st.spinner(text='In progress'):
     exchanges_df = get_all_exchanges_df()
     coins_df = get_all_coins_df()
     miner_stats_df = get_miner_stats_df()
-miner_coins = coins_df.loc[coins_df["symbol"].isin(miner_stats_df["base"].str.lower().unique()), "name"]
 
+miner_coins = coins_df.loc[coins_df["symbol"].isin(miner_stats_df["base"].str.lower().unique()), "name"]
 
 st.write("### Coins filter 🦅")
 tokens = st.multiselect(
     "Select the tokens to analyze:",
     options=coins_df["name"],
-    default=CONFIG.DEFAULT_MINER_COINS)
+    default=CONFIG.DEFAULT_MINER_COINS
+)
 
 coins_id = coins_df.loc[coins_df["name"].isin(tokens), "id"].tolist()
 
@@ -48,9 +51,11 @@ st.sidebar.write("### Exchanges filter 🦅")
 exchanges = st.sidebar.multiselect(
     "Select the exchanges to analyze:",
     options=exchanges_df["name"],
-    default=[exchange for exchange in CONFIG.MINER_EXCHANGES if exchange in exchanges_df["name"].unique()])
+    default=[exchange for exchange in CONFIG.MINER_EXCHANGES if exchange in exchanges_df["name"].unique()]
+)
 
 height = len(coin_tickers_df["coin_name"].unique()) * 500
+
 fig = px.scatter(
     data_frame=coin_tickers_df[coin_tickers_df["exchange"].isin(exchanges)],
     x="volume",
@@ -67,9 +72,9 @@ fig = px.scatter(
     labels={
         "volume": 'Volume (USD)',
         'bid_ask_spread_percentage': 'Bid Ask Spread (%)'
-    })
+    }
+)
 
 st.sidebar.write("# Data filters 🏷")
 st.sidebar.code("🧳 New filters coming. \nReach us on discord \nif you want to propose one!")
 st.plotly_chart(fig, use_container_width=True)
-