Payload Data

IBM Food Trust™ provides the payload data upload method to extend support beyond the standard GS-1 data types. Use a payload to attach user-defined data (such as attributes) to events, items (product lots, serial shipping containers, pallets) or locations.

Payload Types

Payloads must specify the type of contained data, using the <payloadTypeURI> tag. IBM Food Trust defines the following payload types:

Key-value pairs
Sensor data
Strings

The examples below show the <payloadTypeURI> value that must be used for each of these payload types. The <payloadContentType> can be set using a media type (formerly MIME type).

Attachment Points

A submitted payload should attach to an item (Product ID), location (Facility ID) or event (EPCIS event ID). Include one of the following data points in your payload:

Electronic Product Code (EPC) - Food Product Item or Lot (Product ID) using the epcList element in the payload XML.
Global Location Number (GLN) - Supply Chain Location (Facility ID) using the locationList element in the payload XML.
EPCIS Event ID - For a Commission, Decommission, Aggregation, Disaggregation, Transformation or Observation event using the eventIDList element in the payload XML.

Note: The content type examples below attach to an epc: urn:ibm:ift:product:serial:obj:1234567890123.LiveCow.lc11

Using Multiple Attachment Points

If you specify multiple attachment points, the payload will be retrieved with any of those attachment points. For example, attaching a payload to a location and an event means that a Trace API call that returns that location or event will also return the payload. The application must interpret the payload as applying only to the specified EPC or event.

Similarly, attaching a payload to an EPC and a location means that queries for the EPC or location will return the payload. The application must handle the fact that it applies only to EPCs at the location, or only for events for the EPC when the EPC was at the location.

Submit Payload Data

Submit your payload using the IBM Food Trust Connector API assets endpoint. Simply paste your payload XML into the asset Parameter Value field and click the Try it out! button.

The following examples describe the XML for each payload type:

Key-value Pairs

Use the key-value pair payload data type to upload any set of variable-value combinations.

Key-value pairs payload data must be specified using the following format:

<payloadTypeURI>urn:ibm:ift:payload:type:json:triple</payloadTypeURI>

The following code shows a sample payload specifying key-value pairs payload data:

<ift:payload xmlns:ift="urn:ibm:ift:xsd:1">
  <payloadMessage>
    <payloadID>41b14d7a-5b04-11e9-bdaa-6c4008984c16</payloadID>
    <payloadTime>2019-03-01T08:00:00Z</payloadTime>
    <payloadContentType>application/json</payloadContentType>
    <payloadTypeURI>urn:ibm:ift:payload:type:json:triple</payloadTypeURI>
    <epcList>
      <epc>urn:ibm:ift:product:serial:obj:1234567890123.LiveCow.lc11</epc>
    </epcList>
    <payload>[{"key": "Lot Number", "value": "LiveCow.lc11", "type": "string"}, {"key": "Lairage Intake Date", "value": "2019-03-01 08:00:00", "type": "string"}, {"key": "Herd Number", "value": "Herd-lc11", "type": "string"}, {"key": "Site Code", "value": "Site0001", "type": "string"}, {"key": "Eartag", "value": "Ear-lc11", "type": "string"}]</payload>
  </payloadMessage>
</ift:payload>

Sensor Data

Use the sensor payload data type to upload any data collected by sensor devices.

The sensor data payload data type must be specified using the following format:

<payloadTypeURI>urn:ibm:ift:payload:type:json:sensor:v1</payloadTypeURI>

The following code shows a sample sensor data payload:

<ift:payload xmlns:ift="urn:ibm:ift:xsd:1">
  <payloadMessage>
    <payloadID>41b14d7a-5b04-11e9-bdaa-6c4008984c16</payloadID>
    <payloadTime>2019-03-01T08:00:00Z</payloadTime>
    <payloadContentType>application/json</payloadContentType>
    <payloadTypeURI>urn:ibm:ift:payload:type:json:triple</payloadTypeURI>
    <epcList>
    <epc>urn:ibm:ift:product:serial:obj:1234567890123.LiveCow.lc11</epc>
    </epcList>
    <payload>
{
    "payload": {
        "sensorReadings": [
            {
                "sensorId": "S00001",
                "measureType": "TEMPERATURE",
                "uom": "FAH",
                "timestamp": "2018-09-12T01:00:00.000Z",
                "latitude": 40,
                "longitude": -73,
                "value": 80
            },
            {
                "sensorId": "S00002",
                "measureType": "TEMPERATURE",
                "uom": "FAH",
                "timestamp": "2018-09-12T02:00:00.000Z",
                "latitude": 45,
                "longitude": -78,
                "value": 40
            }
        ],
        "alerts": [
            {
                "alertId": "a8aee7dfb536472e8046ad76ce408539",
                "code": "aboveRange",
                "desc": "The sensor reading value is too high",
                "severity": "critical",
                "timestamp": "2018-09-12T01:00:00.000Z",
                "sourceType": "sensor",
                "sensors":[
                    "S00001"
                ]

            }
        ]
    }
}
</payload>
</payloadMessage>
</ift:payload>

Strings

Use the string payload data type to upload any Base64-encoded string. You can upload any file to IBM Food Trust by encoding it in Base64 format and uploading the encoded file as payload string data.

The string payload data type must be specified using the following format:

<payloadTypeURI>string</payloadTypeURI>

The following code shows a sample string payload created from a PDF file, using a Base64 converter:

<ift:payload xmlns:ift="urn:ibm:ift:xsd:1">
  <payloadMessage>
    <payloadID>41b14d7a-5b04-11e9-bdaa-6c4008984c16</payloadID>
    <payloadTime>2019-03-01T08:00:00Z</payloadTime>
    <payloadContentType>application/json</payloadContentType>
    <payloadTypeURI>string</payloadTypeURI>
    <epcList>
    <epc>urn:ibm:ift:product:serial:obj:1234567890123.LiveCow.lc11</epc>
    </epcList>
<payload>
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</payload>
  </payloadMessage>
  </ift:payload>