Merge pull request #153 from hummingbot/feat/minor_bugs

Feat/minor bugs

backend/services/backend_api_client.py

@@ -253,7 +253,7 @@ def add_account(self, account_name: str):
 
     def delete_account(self, account_name: str):
         """Delete an account."""
-        endpoint = "delete-account/"
+        endpoint = "delete-account"
         return self.post(endpoint, params={"account_name": account_name})
 
     def delete_credential(self, account_name: str, connector_name: str):

frontend/components/config_loader.py

@@ -10,9 +10,8 @@ def get_default_config_loader(controller_name: str):
     all_configs = backend_api_client.get_all_controllers_config()
     existing_configs = [config["id"].split("_")[0] for config in all_configs]
     default_dict = {"id": generate_random_name(existing_configs)}
-    default_config = st.session_state.get("default_config")
-    config_controller_name = st.session_state.get("controller_name", controller_name)
-    st.write(f"controller_name: {controller_name} | config_controller_name: {config_controller_name}")
+    default_config = st.session_state.get("default_config", default_dict)
+    config_controller_name = default_config.get("controller_name")
     if default_config is None or controller_name != config_controller_name:
         st.session_state["default_config"] = default_dict
     with st.expander("Configurations", expanded=True):

frontend/components/save_config.py

@@ -27,5 +27,5 @@ def render_save_config(config_base_default: str, config_data: dict):
     if upload_config_to_backend:
         config_data["id"] = f"{config_base}_{config_tag}"
         backend_api_client.add_controller_config(config_data)
-        st.session_state["default_config"] = None
+        st.session_state.pop("default_config")
         st.success("Config uploaded successfully!")

frontend/pages/config/bollinger_v1/app.py

@@ -1,16 +1,10 @@
-from datetime import datetime
-
 import streamlit as st
-import pandas as pd
-import yaml
 import pandas_ta as ta  # noqa: F401
 
-from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
-from backend.services.backend_api_client import BackendAPIClient
 from frontend.components.backtesting import backtesting_section
 from frontend.components.config_loader import get_default_config_loader
 from frontend.components.save_config import render_save_config
-from frontend.pages.config.utils import get_max_records, get_candles
+from frontend.pages.config.utils import get_candles
 from frontend.st_utils import initialize_st_page, get_backend_api_client
 from frontend.pages.config.bollinger_v1.user_inputs import user_inputs
 from plotly.subplots import make_subplots
@@ -36,7 +30,7 @@
 st.session_state["default_config"].update(inputs)
 
 st.write("### Visualizing Bollinger Bands and Trading Signals")
-days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=3)
+days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=7)
 # Load candle data
 candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)
 

frontend/pages/config/macd_bb_v1/app.py

@@ -1,23 +1,18 @@
 import streamlit as st
-import pandas as pd
-import plotly.graph_objects as go
-import yaml
 from plotly.subplots import make_subplots
 
-from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
-from backend.services.backend_api_client import BackendAPIClient
 from frontend.components.backtesting import backtesting_section
 from frontend.components.config_loader import get_default_config_loader
 from frontend.components.save_config import render_save_config
 from frontend.pages.config.macd_bb_v1.user_inputs import user_inputs
-from frontend.pages.config.utils import get_candles, get_max_records
+from frontend.pages.config.utils import get_candles
 from frontend.st_utils import initialize_st_page, get_backend_api_client
 from frontend.visualization import theme
 from frontend.visualization.backtesting import create_backtesting_figure
 from frontend.visualization.backtesting_metrics import render_backtesting_metrics, render_accuracy_metrics, \
     render_close_types
 from frontend.visualization.candles import get_candlestick_trace
-from frontend.visualization.indicators import get_bbands_traces, get_volume_trace, get_macd_traces
+from frontend.visualization.indicators import get_bbands_traces, get_macd_traces
 from frontend.visualization.signals import get_macdbb_v1_signal_traces
 from frontend.visualization.utils import add_traces_to_fig
 
@@ -32,7 +27,7 @@
 
 
 st.write("### Visualizing MACD Bollinger Trading Signals")
-days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=3)
+days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=7)
 # Load candle data
 candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)
 

frontend/pages/config/pmm_dynamic/app.py

@@ -2,8 +2,6 @@
 import plotly.graph_objects as go
 from plotly.subplots import make_subplots
 
-from backend.services.backend_api_client import BackendAPIClient
-from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
 from frontend.components.config_loader import get_default_config_loader
 from frontend.components.executors_distribution import get_executors_distribution_inputs
 from frontend.components.save_config import render_save_config
@@ -12,7 +10,7 @@
 from frontend.components.backtesting import backtesting_section
 from frontend.pages.config.pmm_dynamic.spread_and_price_multipliers import get_pmm_dynamic_multipliers
 from frontend.pages.config.pmm_dynamic.user_inputs import user_inputs
-from frontend.pages.config.utils import get_max_records, get_candles
+from frontend.pages.config.utils import get_candles
 from frontend.st_utils import initialize_st_page, get_backend_api_client
 from frontend.visualization import theme
 from frontend.visualization.backtesting import create_backtesting_figure
@@ -35,7 +33,7 @@
 st.write("### Visualizing MACD and NATR indicators for PMM Dynamic")
 st.text("The MACD is used to shift the mid price and the NATR to make the spreads dynamic. "
         "In the order distributions graph, we are going to see the values of the orders affected by the average NATR")
-days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=3)
+days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=7)
 # Load candle data
 candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)
 with st.expander("Visualizing PMM Dynamic Indicators", expanded=True):

frontend/pages/config/supertrend_v1/app.py

@@ -1,13 +1,11 @@
 import streamlit as st
 from plotly.subplots import make_subplots
 
-from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
-from backend.services.backend_api_client import BackendAPIClient
 from frontend.components.backtesting import backtesting_section
 from frontend.components.config_loader import get_default_config_loader
 from frontend.components.save_config import render_save_config
 from frontend.pages.config.supertrend_v1.user_inputs import user_inputs
-from frontend.pages.config.utils import get_candles, get_max_records
+from frontend.pages.config.utils import get_candles
 from frontend.st_utils import initialize_st_page, get_backend_api_client
 from frontend.visualization import theme
 from frontend.visualization.backtesting import create_backtesting_figure
@@ -28,7 +26,7 @@
 st.session_state["default_config"].update(inputs)
 
 st.write("### Visualizing Supertrend Trading Signals")
-days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=3)
+days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=7)
 # Load candle data
 candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)
 

frontend/pages/orchestration/credentials/app.py

@@ -42,7 +42,14 @@ def get_all_connectors_config_map():
     st.header("Create a New Account")
     new_account_name = st.text_input("New Account Name")
     if st.button("Create Account"):
+        new_account_name = new_account_name.replace(" ", "_")
         if new_account_name:
+            if new_account_name in accounts:
+                st.warning(f"Account {new_account_name} already exists.")
+                st.stop()
+            elif new_account_name == "" or all(char == "_" for char in new_account_name):
+                st.warning("Please enter a valid account name.")
+                st.stop()
             response = client.add_account(new_account_name)
             st.write(response)
         else:
@@ -95,4 +102,5 @@ def get_all_connectors_config_map():
 with cols[-1]:
     if st.button("Submit Credentials"):
         response = client.add_connector_keys(account_name, connector_name, config_inputs)
-
+        if response:
+            st.success(response)

frontend/pages/orchestration/portfolio/app.py

@@ -53,7 +53,9 @@ def account_history_to_df(history):
 # Fetch account state from the backend
 account_state = client.get_accounts_state()
 account_history = client.get_account_state_history()
-
+if len(account_state) == 0:
+    st.warning("No accounts found.")
+    st.stop()
 
 # Display the accounts available
 accounts = st.multiselect("Select Accounts", list(account_state.keys()), list(account_state.keys()))
@@ -65,6 +67,10 @@ def account_history_to_df(history):
 exchanges_available = []
 for account in accounts:
     exchanges_available += account_state[account].keys()
+
+if len(exchanges_available) == 0:
+    st.warning("No exchanges found.")
+    st.stop()
 exchanges = st.multiselect("Select Exchanges", exchanges_available, exchanges_available)
 
 # Display the tokens available