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mqtt-emulator's Introduction

Device Emulator

Instalation

Device emulator requires:

Device Emulator needs permission to run

$ chmod +x emulator.sh

To show options
$ ./emulator.sh --h

Options:
   --R, --r,   --run                        Start device emulator
       options: --CF, --cf, --config-file=FILE           Use external JSON configuration file.
                --S,  --s,  --save                       Save emulated data to ./tmp/current_date_in_ms.txt file
                --D,  --d,  --debug                      Print debug information to console.
                --DF, --df, --distributions-file=FILE    Loads a JSON file with generated data. Used to repeat a dataset.

   --DS, --ds, --debug-server               Starts a server on localhost:3000 showing the generated data on histograms

   --F,  --f,  --flush                      Cleans the temporary folder ./tmp
  
   Default options:
   --R --CF=config.json

Running Device Emulator
  • To run with the default configurations:
$ ./emulator.sh

The default config.json is as shown

        {
            "protocol": {
                "mqtt":{
                    "serverAddress": "10.101.40.50",
                    "port": 1883,
                    "topic": "/AAFF9977/s001/attrs"
                },
            },
            "device":{
                "frequency": 1000,
                "duration": 5000,
                "accelerate": 1,
                "sensors": [
                    {"name": "temperature", "value": "NORMAL(23,3)"},
                    {"name": "voltage", "value": "UNIFORM(120, 135)"},
                    {"name": "doorOpen", "value": "BINOMIAL(1, 0.8)"},
                    {"name": "error", "value": "POISSON(4)"}
                ]
            }
        }   

  • To run with custom configurations:
$ ./emulator.sh --run --config-file=/folder/config.json

This will load '/folder/config.json' as configurations file. An example of a custom config.json file is shown below

        {
            "protocol": {
                "mqtt":{
                    "serverAddress": "10.101.40.50",
                    "port": 1883,
                    "topic": "/AAFF9977/s012/attrs"
                },
            },
            "device":{
                "frequency": 2000,
                "duration": 6000,
                "accelerate": 1,
                "sensors": [
                    {"name": "temperature", "value": "NORMAL(20,3)"},
                    {"name": "voltage", "value": "UNIFORM(120, 135)"},                    
                    {"name": "error", "value": "POISSON(7)"}
                ]
            }
        }   

Note that the 'config.json' must to follow the json schema 'emulator-schema'.

  • To enable debug messages:
  • $ ./emulator.sh --run --config-file=/folder/config.json --debug

An example of debug message when the debug parameter is used, is shown below:

Published {"temperature":23.812521971976725,"voltage":121.39947750144941,"doorOpen":1,"error":4}

  • To save emulated data to a file:
  • $ ./emulator.sh --run --save

Save emulated data to /project_folder/tmp/current_date_in_ms.json

Probability Distributions

The emulated data is based on probability distributions to randomize the values for a device. The available distributions are normal/gauss, binomial, uniform and poisson. See probability-distributions api to more details. The amount of data generated is based on the frequency and the duration contained on config.json.

Using CSV files as data input

A csv file containing data can also be used as input to force the emulated data. The csv file contain a column with the values to be sent and another column with the frequency to send data. Those columns are used in the config.json file in each member respectively.

    {
        "protocol": {
            "mqtt":{
                "serverAddress": "10.101.40.50",
                "port": 1883,
                "topic": "/AAFF9977/s012/attrs"
            }
        },
        "device":{
            "frequency": "FILE(/folder/data.csv:1)",               
            "accelerate": 0.5,
            "sensors": [
                {"name": "temperature", "value": "FILE(/folder/data.csv:2)"},
                {"name": "voltage", "value": "UNIFORM(120, 135)"}
            ]
        }
    }

Where '/folder/data.csv:1' refers to column 1 with frequency and '/folder/data.csv:2' refers to column 2 with values;

Example of csv file:

    3000,18
    6000,18.5
    700,19
    8000,19.5
    1000,20
    12000,20.5
    1000,21
    16000,21.5
    1000,22
    20000,22.5
    2000,23
    24000,23.5
    2000,24

The csv file can be used to configure the execution in anothers way. When it has a header, to reference the columns the name of them must be used. E.g.:

...
 "device":{
     "frequency": "FILE(/folder/data2.csv:frequency)",
         "accelerate": 1,
         "sensors": [
             {"name": "temperature", "value": "FILE(/folder/data2.csv:temperature)"},
             {"name": "voltage", "value": "FILE(/folder/data2.csv:voltage)"}
         ]
     }
...

data2.csv file:

     frequency,temperature,voltage
     3000,18,12
     6000,18.5,14
     700,19,20
     8000,19.5,29
     1000,20,59

The frequency configuration could be define by a composition of columns that represents a date and a time with their specifics formats:

...
 "device": {
     "accelerate": 3600,    
     "frequency": {
         "columnTime": "FILE(/folder/data.csv:time)",
         "columnTimeFormat": "HH:mm:ss",
         "columnDate": "FILE(/folder/data.csv:date)",
         "columnDateFormat": "YYYY-MM-DD"
     },
     "sensors": [
         {"name": "temperature", "value": "FILE(/folder/data.csv:temperature)"},
         {"name": "voltage","value": "FILE(/folder/data.csv:voltage)"}
     ]
 }
...

data.csv file:

 temperature,voltage,date,time
 18,12,2017-05-17,21:00:00
 18.5,14,2017-05-17,22:00:00
 19,20,2017-05-17,23:00:00
 19.5,29,2017-05-18,00:00:00
 20,59,2017-05-18,01:00:00

The columns columnDate and ColumnDateFormat are optionals, the configuration could came from one only column. In this case you must to use columnTime and columnTimeFormat:

...
 "device": {
     "accelerate": 3600,    
     "frequency": {
         "columnTime": "FILE(/folder/data.csv:date_time)",
         "columnTimeFormat": "YYYY-MM-DD HH:mm:ss"            
     },
     "sensors": [
         {"name": "temperature", "value": "FILE(/folder/data.csv:temperature)"},
         {"name": "voltage","value": "FILE(/folder/data.csv:voltage)"}
     ]
 }
...

One csv file can be used to configure and generated a payload assuming that the csv must have a header and the columns name are used to compose the payload. Also must have columns to configure the frequency with columnTime/columnTimeFormat and columnDate/columnDateFormat as mensioned before:

    {
        "protocol": {
            "mqtt": {
            "serverAddress": "10.101.47.51",
            "port": 1883,
            "topic": "/AAFF9977/s001/attrs"            
            }
        },
        "csv": {
            "accelerate": 36000,
            "file": "test/resources/data6.csv",
            "columnDate": "date",
            "columnDateFormat": "YYYY-MM-DD",
            "columnTime": "time",
            "columnTimeFormat": "HH:mm:ss",
            "columns":["pluviometric", "sensor_type", "temperature", "date", "time"]
        }
    }

The "columns" attribute is optional, when omited, all columns present in csv file will be used to generate the payload.


Starting debug server to see the Probability Distributions:
$ ./emulator.sh --debug-server

Will run a local server on port 3000, where the distributions saved by the option '--save' will be displayed in histograms. You MUST use '--save' before running the server.


Cleaning the tmp folder:
$ ./emulator.sh --flush

To use as a node-red node:

Requirement: node-red 0.16.0+

Execute:

$ cd [EMULATOR_FOLDER]
$ sudo npm install
$ sudo npm link
$ cd [NODE-RED_FOLDER] eg: ~/.node-red
$ sudo npm link device_emulator

Then restart the node-red

Example scenarios:

  • Scenario 1 - config1.json with frequency and duration in milliseconds and using probability distributions to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config1.json --debug --save
  • Scenario 2 - config2.json using the csv 'data1.csv' without header. Configure the frequency using the csv column in milliseconds. Uses probability distributions and the csv columns to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config2.json --debug --save
  • Scenario 3 - config3.json using the csv 'data2.csv' with header. Configure the frequency using the CSV column in milliseconds and the others csv columns to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config3.json --debug --save
  • Scenario 4 - config4.json using the csv 'data3.csv' with header. Uses the time and date columns to configure the frequency and the others csv columns to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config4.json --debug --save
  • Scenario 5 - config5.json using the csv 'data4.csv' without header. Uses the time and date columns to configure the frequency and the others csv columns to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config5.json --debug --save
  • Scenario 6 - config6.json using the csv 'data5.csv' without header. Uses one only column with date and time to configure the frequency and the others csv columns to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config6.json --debug --save
  • Scenario 7 - config7.json using the csv 'data6.csv' with header. Uses the time and date columns to configure the frequency and specify the columns that will be used to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config7.json --debug
  • Scenario 8 - config8.json with frequency and duration in milliseconds. Uses probability distribution and route with origin and destination coordenates that creates steps based on google maps directions API to generate the payload.
    ./emulator.sh --run --config-file=test/resources/config8.json --debug

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