#!/usr/bin/python3
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#
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# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
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# the Software, and to permit persons to whom the Software is furnished to do so.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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import logging
import os
import requests
import argparse
import gzip
import paho.mqtt.client as mqtt
import time
import io

BROKER = 'localhost'
PORT = 1883
TOPIC = "turbine/raw"
CLIENT_ID = "turbine_simulated_device"
FILENAME = 'dataset_wind.csv'
DATASET_FILE_URL = 'https://aws-ml-blog.s3.amazonaws.com/artifacts/monitor-manage-anomaly-detection-model-wind-turbine-fleet-sagemaker-neo/dataset_wind_turbine.csv.gz'

class SensorDataReader(object):
            def __init__(self):
                self.buffer = open(FILENAME, 'r').readlines()[1:] # skip the file header
                self.idx = 0
            def isOpen(self): return True
            def close(self): pass
            def readline(self):
                if self.idx >= len(self.buffer): self.idx = 0
                reading = self.buffer[self.idx].strip().split(',')[2:] # drop the first two columns
                reading = reading[0:2] + [reading[3], reading[-1]] + reading[4:-1] # reorganize the columns
                reading = ",".join(reading).encode('utf-8')
                self.idx += 1
                return reading

def download(url, filename):
    try:
        req = requests.get(url)
        with gzip.GzipFile(fileobj=io.BytesIO(req.content), mode="r:gz") as f:
            with open(filename, 'w') as d: d.write(f.read().decode('utf-8'))
            return True
    except Exception as e:
        logging.error(e)
        return False

def on_connect(client, userdata, flags, rc):
    if rc == 0:
        print("Connected to broker")
        client.connected_flag=True         
    else:
        print("Connection failed")

if __name__ == '__main__':
    
    logging.basicConfig(level=logging.INFO )

    if not os.path.exists(FILENAME):
        logging.info("Input dataset not found, downloading it...")
        if download(DATASET_FILE_URL,FILENAME) == False:
            logging.error("Failed to download dataset file, exiting...")
            exit()
        logging.info("File downloaded")
    else:
        logging.info("Dataset present, loading data")

    logging.info("Connecting to MQTT broker...")
    client = mqtt.Client(CLIENT_ID)
    client.connected_flag=False
    client.on_connect = on_connect
    client.loop_start()
    client.connect(BROKER, PORT)
    while not client.connected_flag: #wait in loop
        print("Waiting to connect")
        time.sleep(1)
    logging.info("Connected")

    raw_sensor_data = SensorDataReader()

    try:
        while True:
            data = raw_sensor_data.readline().decode('utf-8').strip()
            logging.info("publishing raw data to MQTT topic")
            client.publish(TOPIC,data)
            time.sleep(0.5)
    except Exception as e:
        logging.error(e)

    logging.info("Shutting down simulated device")
    client.loop_stop()
    client.disconnect()