app.py

import datetime
import json
from datetime import tzinfo

import pandas as pd
import streamlit as st
from tzlocal import get_localzone

from api import TradeAssistantAPI
from style import recommendation_table_styler

st.title("📊 Trading Assistant")

if st.sidebar.button("Refresh"):
    st.experimental_rerun()
st.sidebar.title("Settings")

param_token = st.experimental_get_query_params().get("token", [""])[0]

token = st.sidebar.text_input("Token", type="password", value=param_token)
if not token:
    st.error("Access denied")
    st.stop()
api = TradeAssistantAPI(token)

st.write("## Recommendations")
recommendation_res = None
try:
    recommendation_res = api.get_recommendations()
    updated = recommendation_res["updated"]
    recommendations = json.loads(recommendation_res["recommendations"])
    recommendations = pd.DataFrame(recommendations)
    st.dataframe(recommendations.style.pipe(recommendation_table_styler))
    tz = get_localzone().tzname(None)
    updated_time_ago = pd.Timestamp.now().tz_localize(tz) - pd.Timestamp(
        updated, tz="UTC"
    )
    st.write(f"Updated: {updated_time_ago} ago")
except Exception as e:
    st.error(e)
    st.expander("Details").write(recommendation_res)

st.sidebar.write("## Actions")
schedule_training_res = None
if st.sidebar.button("Train model"):
    schedule_training_res = api.train_model()
    st.sidebar.success(
        f"Training job scheduled. Job ID: {schedule_training_res['job_id']}"
    )
st.write("## Training jobs")
try:
    training_jobs_res = api.list_training_jobs()
    # training_jobs = pd.DataFrame(training_jobs_res)
    # st.dataframe(training_jobs)
    st.write(training_jobs_res)
except Exception as e:
    st.error(e)
    st.expander("Details").write(training_jobs_res)