Parameters
Parameters
{
"$result_object_key": {
"metric_entries": [
{
"added_by_user": "901234",
"category": "Breakfast",
"created_at": "2023-04-01T14:30:00Z",
"description": "Banana and protein smoothie after workout",
"emotions": "Happy",
"id": "890123",
"name": "Morning Smoothie",
"type": "FoodEntry",
"value": 450
}
]
}
}
{
"$result_object_key": {
"metric_entries": {
"added_by_user": "ID of user that added the entry",
"category": "The category of this entry",
"created_at": "The time at which this entry was created",
"description": "The description for the entry",
"emotions": "The users emotions towards the meal",
"id": "The unique identifier of the entry",
"name": "The name for this entry",
"type": "The type for this entry, options are - FoodEntry, WorkoutEntry, MirrorEntry, SleepEntry, NoteEntry, WaterIntakeEntry, PoopEntry', null: false",
"value": "The `metric_stat` value of the metric entry"
}
}
}
Result Object Field Details
You can use the result of the action’s data as inputs to downstream workflow actions. Each fetch action requires an object name, which nests the action’s result data inside the downstream data context in the workflow. See Passing Data Between Actions for how to set it and reference the result from downstream nodes. Here we demonstrate how to refer to this data using the prefix$result_object_key.
Fetch Action Response Object
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[]object
required
List of metric entries
CEL
$result_object_key.metric_entries
Example
[
{
"added_by_user": "901234",
"category": "Breakfast",
"created_at": "2023-04-01T14:30:00Z",
"description": "Banana and protein smoothie after workout",
"emotions": "Happy",
"id": "890123",
"name": "Morning Smoothie",
"type": "FoodEntry",
"value": 450
}
]
[]string
required
Mapped array of: The unique identifier of the entry
CEL
$result_object_key.metric_entries.map(x, x.id)
Example
[
"890123"
]
[]string
required
Mapped array of: The type for this entry, options are - FoodEntry, WorkoutEntry, MirrorEntry, SleepEntry, NoteEntry, WaterIntakeEntry, PoopEntry’, null: false
CEL
$result_object_key.metric_entries.map(x, x.type)
Example
[
"FoodEntry"
]
[]string
required
Mapped array of: ID of user that added the entry
CEL
$result_object_key.metric_entries.map(x, x.added_by_user)
Example
[
"901234"
]
[]string
required
Mapped array of: The category of this entry
CEL
$result_object_key.metric_entries.map(x, x.category)
Example
[
"Breakfast"
]
[]string
required
Mapped array of: The users emotions towards the meal
CEL
$result_object_key.metric_entries.map(x, x.emotions)
Example
[
"Happy"
]
[]string
required
Mapped array of: The name for this entry
CEL
$result_object_key.metric_entries.map(x, x.name)
Example
[
"Morning Smoothie"
]
[]string
required
Mapped array of: The description for the entry
CEL
$result_object_key.metric_entries.map(x, x.description)
Example
[
"Banana and protein smoothie after workout"
]
[]timing.v1.Timestamp
required
Mapped array of: The time at which this entry was created
CEL
$result_object_key.metric_entries.map(x, x.created_at)
Example
[
"2023-04-01T14:30:00Z"
]
[]float64 (double)
required
Mapped array of: The
metric_stat value of the metric entryCEL
$result_object_key.metric_entries.map(x, x.value)
Example
[
450
]