{
"$result_object_key": {
"metric_entries": [
{
"added_by_user": "901234",
"category": "Breakfast",
"created_at": "2023-04-01T14:30:00Z",
"description": "Banana and protein smoothie after workout",
"emotions": "Happy",
"id": "890123",
"name": "Morning Smoothie",
"type": "FoodEntry",
"value": 450
}
]
}
}
{
"$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"
}
}
}
Documentation for the Search Metric Entries action for Healthie
{
"$result_object_key": {
"metric_entries": [
{
"added_by_user": "901234",
"category": "Breakfast",
"created_at": "2023-04-01T14:30:00Z",
"description": "Banana and protein smoothie after workout",
"emotions": "Happy",
"id": "890123",
"name": "Morning Smoothie",
"type": "FoodEntry",
"value": 450
}
]
}
}
{
"$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"
}
}
}
{
"$result_object_key": {
"metric_entries": [
{
"added_by_user": "901234",
"category": "Breakfast",
"created_at": "2023-04-01T14:30:00Z",
"description": "Banana and protein smoothie after workout",
"emotions": "Happy",
"id": "890123",
"name": "Morning Smoothie",
"type": "FoodEntry",
"value": 450
}
]
}
}
{
"$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"
}
}
}
You can use the result of the action’s data as inputs to downstream workflow actions.
Each fetch action requires a result object key to be specified which will nest the action’s result data inside the downstream data context in the Workflow.
Here we demonstrate how to refer to this data using the prefix $result_object_key
.
Hide fields
List of metric entries
$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
}
]
Mapped array of: The unique identifier of the entry
$result_object_key.metric_entries.map(x, x.id)
[
"890123"
]
Mapped array of: The type for this entry, options are - FoodEntry, WorkoutEntry, MirrorEntry, SleepEntry, NoteEntry, WaterIntakeEntry, PoopEntry’, null: false
$result_object_key.metric_entries.map(x, x.type)
[
"FoodEntry"
]
Mapped array of: ID of user that added the entry
$result_object_key.metric_entries.map(x, x.added_by_user)
[
"901234"
]
Mapped array of: The category of this entry
$result_object_key.metric_entries.map(x, x.category)
[
"Breakfast"
]
Mapped array of: The users emotions towards the meal
$result_object_key.metric_entries.map(x, x.emotions)
[
"Happy"
]
Mapped array of: The name for this entry
$result_object_key.metric_entries.map(x, x.name)
[
"Morning Smoothie"
]
Mapped array of: The description for the entry
$result_object_key.metric_entries.map(x, x.description)
[
"Banana and protein smoothie after workout"
]
Mapped array of: The time at which this entry was created
$result_object_key.metric_entries.map(x, x.created_at)
[
"2023-04-01T14:30:00Z"
]
Mapped array of: The metric_stat
value of the metric entry
$result_object_key.metric_entries.map(x, x.value)
[
450
]