from paho.mqtt import client as mqtt_client
from schema.aggregated_data_schema import AggregatedDataSchema
from file_datasource import FileDatasource
import config


def connect_mqtt(broker, port):
    """Create MQTT client"""
    print(f"CONNECT TO {broker}:{port}")

    def on_connect(client, userdata, flags, rc):
        if rc == 0:
            print(f"Connected to MQTT Broker ({broker}:{port})!")
        else:
            print("Failed to connect {broker}:{port}, return code %d\n", rc)
            exit(rc)  # Stop execution

    client = mqtt_client.Client()
    client.on_connect = on_connect
    client.connect(broker, port)
    client.loop_start()
    return client


def publish(client, topic, datasource, max_sends = None):
    datasource.startReading()

    i = 0
    while True:
        i += 1

        data = datasource.read()
        msg = AggregatedDataSchema().dumps(data)
        result = client.publish(topic, msg)
        status = result[0]
        if status != 0:
            print(f"Failed to send message to topic {topic}")

        if max_sends and i >= max_sends:
            # display test success
            exit(0)


def run():
    # Prepare mqtt client
    client = connect_mqtt(config.MQTT_BROKER_HOST, config.MQTT_BROKER_PORT)
    # Prepare datasource
    datasource = FileDatasource("data/accelerometer.csv", "data/gps.csv")
    # Infinity publish data
    publish(client, config.MQTT_TOPIC, datasource, getattr(config, "MAX_SENDS", None))


if __name__ == "__main__":
    run()