Note: You are looking at a static snapshot of documentation related to Robot Framework automations. The most recent documentation is at https://robocorp.com/docs

Create output work items

Currently, the API payloads are created only in memory - they are not persisted. It's time to save the payloads as work items. You decide to create one work item per API payload:

producer.robot:

*** Settings *** Documentation Inhuman Insurance, Inc. Artificial Intelligence System robot. ... Produces traffic data work items. Library Collections Library RPA.HTTP Library RPA.JSON Library RPA.Robocorp.WorkItems Library RPA.Tables *** Variables *** ${TRAFFIC_JSON_FILE_PATH}= ${OUTPUT_DIR}${/}traffic.json # JSON data keys: ${COUNTRY_KEY}= SpatialDim ${GENDER_KEY}= Dim1 ${RATE_KEY}= NumericValue ${YEAR_KEY}= TimeDim *** Tasks *** Produce traffic data work items Download traffic data ${traffic_data}= Load traffic data as table ${filtered_data}= Filter and sort traffic data ${traffic_data} ${filtered_data}= Get latest data by country ${filtered_data} ${payloads}= Create work item payloads ${filtered_data} Save work item payloads ${payloads} *** Keywords *** Download traffic data Download ... https://github.com/robocorp/inhuman-insurance-inc/raw/main/RS_198.json ... ${TRAFFIC_JSON_FILE_PATH} ... overwrite=True Load traffic data as table ${json}= Load JSON from file ${TRAFFIC_JSON_FILE_PATH} ${table}= Create Table ${json}[value] RETURN ${table} Filter and sort traffic data [Arguments] ${table} ${max_rate}= Set Variable ${5.0} ${both_genders}= Set Variable BTSX Filter Table By Column ${table} ${RATE_KEY} < ${max_rate} Filter Table By Column ${table} ${GENDER_KEY} == ${both_genders} Sort Table By Column ${table} ${YEAR_KEY} False RETURN ${table} Get latest data by country [Arguments] ${table} ${table}= Group Table By Column ${table} ${COUNTRY_KEY} ${latest_data_by_country}= Create List FOR ${group} IN @{table} ${first_row}= Pop Table Row ${group} Append To List ${latest_data_by_country} ${first_row} END RETURN ${latest_data_by_country} Create work item payloads [Arguments] ${traffic_data} ${payloads}= Create List FOR ${row} IN @{traffic_data} ${payload}= ... Create Dictionary ... country=${row}[${COUNTRY_KEY}] ... year=${row}[${YEAR_KEY}] ... rate=${row}[${RATE_KEY}] Append To List ${payloads} ${payload} END RETURN ${payloads} Save work item payloads [Arguments] ${payloads} FOR ${payload} IN @{payloads} Save work item payload ${payload} END Save work item payload [Arguments] ${payload} ${variables}= Create Dictionary traffic_data=${payload} Create Output Work Item variables=${variables} save=True

Save work item payloads is your custom keyword that takes the list of payloads as an argument and calls another custom keyword (Save work item payload) to save each payload as a work item.

The RPA.Robocorp.WorkItems library provides a useful keyword for our current need:

Create Output Work Item creates a new output work item. We store our payload as a dictionary with the given variable name (traffic_data). We save the work item by passing in the save argument as True.

After running the producer task, a devdata/work-items-out/run-1/work-items.json file is automatically created. A new run-n folder is created every time you run your robot. Those output work items come in handy later when implementing and testing your consumer robot since they can be used as test input for the consumer.

The work-items.json contains your output work items:

[ { "payload": { "traffic_data": { "country": "VCT", "year": 2011, "rate": 3.69293 } }, "files": {} }, { "payload": { "traffic_data": { "country": "SWError", "year": 2019, "rate": 3.13947 } }, "files": {} },...

Each work item has the payload and files properties. In your case, only the payload contains data (the traffic data your robot created). The files property is empty since this robot does not use files.

Your producer robot is now complete!

The producer:

  • downloads the raw traffic data.
  • transforms the raw data into a business data format.
  • saves the business data as work items that can be consumed later.

Well done, you! Time to consume stuff, next.