timestream.py

import streamlit as st
import awswrangler as wr
import pandas as pd
from datetime import datetime

st.title('Timestream Demo - Work in progress')

#df = pd.read_csv(
#    "https://raw.githubusercontent.com/awslabs/amazon-timestream-tools/mainline/sample_apps/data/sample.csv",
#    names=[
#        "ignore0",
#        "region",
#        "ignore1",
#        "az",
#        "ignore2",
#        "hostname",
#        "measure_kind",
#        "measure",
#        "ignore3",
#        "ignore4",
#        "ignore5",
#    ],
#    usecols=["region", "az", "hostname", "measure_kind", "measure"],
#)
#df["time"] = datetime.now()
#df.reset_index(inplace=True, drop=False)

df = {
  "regions": ['us-gov-west-1', 'ap-northeast-1', 'ap-southeast-2','eu-central-1', 'eu-west-1', 'us-east-1','us-east-2','us-west-2']
}

st.dataframe(df)  

#wr.timestream.create_database("sampleDB")
#wr.timestream.create_table("sampleDB", "sampleTable", memory_retention_hours=1, magnetic_retention_days=1)