UsageJourneyStep
One step within a UsageJourney, characterised by how long the user spends on it and which Jobs it triggers on the server side.
Params
name
A human readable description of the object.
user_time_spent
Wall-clock time the user spends on this step (during which her device is powered on).
Unit: minute.
jobs
Jobs triggered on the server side during this step. Multiple jobs can fire per step; the same Job can appear in several steps.
A list of EcoLogitsGenAIExternalAPIJobs.
Backwards links
Calculated attributes
fabrication_impact_repartition_weights
Weights used to attribute fabrication-phase emissions of upstream impact sources to each container of this object.
Example value: {
UsageJourney user journey (0797a7): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 2.67, 2, 2, 0.667, 0.333, 0.333, 3, 2.67, 3],
last 10 vals [1.67, 3, 1.67, 2, 2, 0.333, 0.333, 3, 2.67, 1.67],
}
Depends directly on:
through the following calculations:
You can also visit the link to user journey weight in impact repartition’s full calculation graph.
fabrication_impact_repartition_weight_sum
Sum of fabrication impact repartition weights, used as the denominator when normalising into per-container shares.
Example value: 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 2.67, 2, 2, 0.667, 0.333, 0.333, 3, 2.67, 3],
last 10 vals [1.67, 3, 1.67, 2, 2, 0.333, 0.333, 3, 2.67, 1.67]
Depends directly on:
through the following calculations:
You can also visit the link to Fabrication impact repartition weights sum’s full calculation graph.
fabrication_impact_repartition
Normalised share of fabrication-phase emissions that this object attributes to each container.
Example value: {
UsageJourney user journey (0797a7): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}
Depends directly on:
through the following calculations:
You can also visit the link to fabrication impact attribution to user journey’s full calculation graph.
usage_impact_repartition_weights
Weights used to attribute usage-phase emissions of upstream impact sources to each container of this object.
Example value: {
UsageJourney user journey (0797a7): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 2.67, 2, 2, 0.667, 0.333, 0.333, 3, 2.67, 3],
last 10 vals [1.67, 3, 1.67, 2, 2, 0.333, 0.333, 3, 2.67, 1.67],
}
Depends directly on:
through the following calculations:
You can also visit the link to user journey weight in impact repartition’s full calculation graph.
usage_impact_repartition_weight_sum
Sum of usage impact repartition weights, used as the denominator when normalising into per-container shares.
Example value: 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 2.67, 2, 2, 0.667, 0.333, 0.333, 3, 2.67, 3],
last 10 vals [1.67, 3, 1.67, 2, 2, 0.333, 0.333, 3, 2.67, 1.67]
Depends directly on:
through the following calculations:
You can also visit the link to Usage impact repartition weights sum’s full calculation graph.
usage_impact_repartition
Normalised share of usage-phase emissions that this object attributes to each container.
Example value: {
UsageJourney user journey (0797a7): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}
Depends directly on:
through the following calculations:
You can also visit the link to usage impact attribution to user journey’s full calculation graph.