Orders by currency
How to use the Metrics API to get the total number of orders of your organization, grouped by different currencies
You want to get the total number of orders over a selected date and time range, grouped by the different currencies you use to sell.
You need to perform a breakdown query setting the required query keys as follows and adding the optional ones based on your needs:
Key | Value |
|---|---|
by | order.currency_code |
field | order.id |
operator | value_count |
Make sure to set the desired date and time range using the
date_from and date_to keys in the filter. In the example below, since the
date_field isn't specified in the date filter, the default value current_date will be used, meaning that the results will count all the orders that changed their status within the selected date and time range (read more about this).If you want to narrow the results to some specific currencies, just add an additional filter on the order field to restrict the related computation to the selected currencies only:
Attribute | Operator |
|---|---|
currency_codes | "in": [ "EUR", "USD" ] |
Request
Response
The following request uses the Metrics API to get the total number of orders, grouped by two selected currencies:
curl -g -X POST \
'https://{{your_domain}}.commercelayer.io/metrics/orders/breakdown' \
-H 'Accept: application/vnd.api.v1+json' \
-H 'Content-Type: application/vnd.api+json' \
-H 'Authorization: Bearer {{your_access_token}}' \
-d '{
"breakdown": {
"by": "order.currency_code",
"field": "order.id",
"operator": "value_count",
"sort": "desc",
"limit": 20
},
"filter": {
"order": {
"date_from": "2021-01-01T00:00:00Z",
"date_to": "2021-12-31T23:59:00Z",
"currency_codes": {
"in": [
"EUR",
"USD"
]
}
}
}
}'
On success, the API responds with a
200 OK status code, returning the aggregated, nested values in the data object and extra information in the meta object:{
"data": {
"order.currency_code": [
{
"label": "EUR",
"value": 123456
},
{
"label": "USD",
"value": 7890
}
]
},
"meta": {
"type": "breakdown",
"trace_id": "fe571ea2-8a4f-4a5e-bd26-ac54651bb2e4",
"mode": "test",
"organization_id": "xYZkjABcde",
"market_ids": [ "yzXKjYzaCx", "..." ]
}
}
Just changing a couple of query keys and/or filter parameters you can address lots of very similar use cases, such as:
Last modified 4mo ago