HTTP JSON Sensor Data: Unterschied zwischen den Versionen

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*sensor_descr can tell
 
*sensor_descr can tell
 
**what sensor types are actually relevant
 
**what sensor types are actually relevant
**what is the sensor type specific field description
+
**what is the field description of each of those sensor types
 
**how many sensors of each type are actually present
 
**how many sensors of each type are actually present
 
**what are the names of each of those sensors
 
**what are the names of each of those sensors

Version vom 6. April 2021, 15:18 Uhr

Preface

  • all Sensor data is available in a generic JSON Object, presented by status.json
  • there are two relevant sub-objects: sensor_values and sensor_descr
  • sensor_descr can tell
    • what sensor types are actually relevant
    • what is the field description of each of those sensor types
    • how many sensors of each type are actually present
    • what are the names of each of those sensors
  • sensor_values carries all measured sensor values, matching the description explained above, in the same order
  • it's common practice to get sensor_descr+sensor_values once, and poll sensor_values only subsequently with much less payload


This empowers you to write small code supporting all products and all sensors in one single future-proof approach, without the need for sensor specific knowledge.

So your software is already prepared for new gude-devices, and prepared for new sensor Add-Ons.

To give an example, this documentation will highly depend on check_gude.py, our HTTP sensor data swiss-knife tool.

Getting data by HTTP

  • HTTP-Get status.json?components=8470528
    • for more info about status.json components flags, refer to EPC HTTP Interface
    • 8470528 sums up sensor_values (16384 aka 0x10000) plus sensor_descr (65536 aka 0x4000), plus the ‘extended’ marker (0x800000) to get both simple sensors and (more complex) sensor groups
    • 8470528 = 0x814000 = 0x4000 + 0x10000 + 0x800000

Example data

sensor_descr

 [
   {
     "type": 664,
     "num": 2,
     "fields": [
        {"name": "Voltage", "unit": "V", "decPrecision": 3},
        {"name": "Current", "unit": "A", "decPrecision": 1}
     ],
     "properties": [
       { "id": "L1", "name": "Meter1", "state": 1},
       { "id": "L2", "name": "Meter2", "state": 1}
     ]
   },
   {
     "type": 665,
     "num": 1,
     "fields": [
        {"name": "Temperature", "unit": "C", "decPrecision": 1},
        {"name": "Humidity",    "unit": "%", "decPrecision": 1}
     ],
     "properties": [
       { "id": "6102", "name": "Server-Rack", "state": 1}
     ]
   }
 ]

This tells you:

  • There a two sensors of type 664, and one of type 665
  • A type-664 sensor has two Fields, Voltage and Ampere
    • Voltage is measured with a decimal precision of 3, Ampere with a decimal precision of 1
  • The two type-664 sensors (L1 and L2) are named 'Meter1' and 'Meter2'
  • The one type-665 sensor is named 'Sever-Rack', and has two fields 'Temperature' and 'Humidity'

sensor_values

 [
   {
     "type": 664,
     "num": 2,
     "values": [
       [{"v": 233.19}, {"v": 3.2}],
       [{"v": 226.2},  {"v": 0.3}]
     ]
   },
   {
     "type": 665,
     "num": 1,
     "values": [
       [{"v": 27.1}, {"v": 40.3}]
     ]
   }
 ]

sensor_desc / sensor_values

bringing both objects together, unfolds the big picture:

 L1/Meter1 233.19 V (Voltage), 3.2 A (Ampere)
 L2/Meter2 226.20 V (Voltage), 0.3 A (Ampere)
 
 6102/Server-Rack: 27.1 C (Temperature), 40.3 % (Humidity)

Common sensor type IDs

  1  Line power meter
  9  Line power meter with residual Current
  8  Outlet power meter

  7  Digital Inputs

 20  System Data (sensor group)

 51  Temperature Sensor
 52  Temperature/Humidity Sensor
 53  Temperature/Humidity/AirPressure Sensor

101  Bank (eFuses Port-groups) Sensor  (e.g. used at 8291 PDUs)
102  (DC) Power Sources                (e.g. used at 8291 PDUs)

check_gude.py in action

  • check_gude.py is a demo code to show how sensor_descr and sensor_values can be assembled generically to make use of all our devices / sensors
  • so when new devices and sensors are coming up, check_gude.py is already prepared to deal with it
  • install python along with the python module requests, to run check_gude.py
  • feel free to use check_gude.py as you need it and to rewrite the given code to any language desired

Show all Sensor Data

  • Here a device with hostname 8041.demo.gude.info is queried to dump all sensor data
  • with check_gude.py can use --ssl / --username / --password to benefit from HTTP encryption and user authentification

Check gude py 1.png

show CGI-Get / JSON Data

when using --verbose check_gude.py will print out the full URL and the JSON return data:

Check gude py 2.png

Sensor groups

A simple sensor has one single field description, as shown above, where a sensor group is a bundle of different field descriptions So instead of presenting 'fields', it has 'groups' as list of 'fields'

Sensor group example

  • This is a virtual sensor 'engine'
  • Each vehicle can have multiple engines
  • Each engine has a certain amount of cylinders, and a certain amount of telemetry sensors
  • In this example, our car has two engines, Front Engine and Rear Engine
    • Front-engine has 4 cylinders, and 1 telemetry sensor
    • Rear-engine has 2 cylinders, and no telemetry sensor

sensor_descr

  {
    "type": 666,
    "num": 2,
    "groups": [
       {
         "name": "cylinder",
         "fields" : [
           {"name": "flux",   "unit": "milli-brown", "decPrecision": 0},
           {"name": "Power",  "unit": "W",           "decPrecision": 1}
         ]
       },
       {
         "name": "telemetry",
         "fields" : [
           {"name": "Temperature",    "unit": "C",   "decPrecision": 1}
         ]
       }
    ],
    "properties": [
      {
        "id": "E1",
        "name": "Front Engine",
        "groups": [
          [
            {"id": "C1", "name": "Cylinder1"},
            {"id": "C2", "name": "Cylinder2"},
            {"id": "C3", "name": "Cylinder3"},
            {"id": "C4", "name": "Cylinder4"}
          ],
          [
            {"id": "T1", "name": "Temperature1"}
          ]
        ]
      },
      {
        "id": "E2",
        "name": "Rear Engine",
        "groups": [
          [
            {"id": "C1", "name": "Cylinder1"},
            {"id": "C2", "name": "Cylinder2"}
          ],
          [
          ]
        ]
      }
    ]
  }

sensor_values

{
  "type": 666,
  "num": 2,
  "values": [
    [
      [
        [{"v": 12.3}, {"v": 12.3}],
        [{"v": 35.1}, {"v": 0.3}],
        [{"v": 25.6}, {"v": 0.4}],
        [{"v":  4.5}, {"v": 1.5}]
      ],
      [
        [{"v": 83.9}]
      ]
    ],
    [
      [
        [{"v": 12.3}, {"v": 12.3}],
        [{"v": 35.1}, {"v": 0.3}],
      ],
      [
      ]
    ]
  ]
}

example check_gude.py on group

check_gude would compile both objects like this:

./check_gude.py -H mycar.local.net
 E1 Engine 1
       C1 Cylinder1
               666.0.0.0.0 12.3 milli-brown flux
               666.0.0.0.1  2.5 W power
       C2 Cylinder2
               666.0.0.1.0 35.1 milli-brown flux
               666.0.0.1.1  0.3 W power
       C3 Cylinder3
               666.0.0.2.0 25.6 milli-brown flux
               666.0.0.2.1  0.4 W power
       C4 Cylinder4
               666.0.0.4.0 4.5 milli-brown flux
               666.0.0.4.1 1.5 W power
       T1 Temperature1
               666.0.1.0.0 83.9 C Temperature

E2 Engine 2
       C1 Cylinder1
               666.1.0.0.0 46.1 milli-brown flux
               666.1.0.0.1  8.6 W power
       C2 Cylinder2
               666.1.0.1.0 13.4 milli-brown flux
               666.1.0.1.1  4.3 W power