Updated R version to 4.3.2.

R/timegpt_forecast.R

@@ -75,7 +75,7 @@ timegpt_forecast <- function(df, h=8, freq=NULL, id_col=NULL, time_col="ds", tar
       "authorization" = paste("Bearer", .get_token())
       ) |>
     httr2::req_user_agent("nixtlar") |>
-    httr2::req_body_json(data = timegpt_data, digits=10) |>
+    httr2::req_body_json(data = timegpt_data) |>
     httr2::req_perform()
 
   # Extract forecast ----

tests/testthat/dashboard.nixtla.io/api/timegpt.json

@@ -0,0 +1,30 @@
+{
+    "data": {
+        "timestamp": [
+            "2016-01-14 00:00:00",
+            "2016-01-15 00:00:00",
+            "2016-01-16 00:00:00",
+            "2016-01-17 00:00:00",
+            "2016-01-18 00:00:00",
+            "2016-01-19 00:00:00",
+            "2016-01-20 00:00:00"
+        ],
+        "value": [
+            7.960582256317139,
+            7.7414960861206055,
+            7.728490352630615,
+            8.267574310302734,
+            8.543140411376953,
+            8.298713684082031,
+            8.105557441711426
+        ],
+        "input_tokens": 43,
+        "output_tokens": 7,
+        "finetune_tokens": 0
+    },
+    "message": "success",
+    "details": "request successful",
+    "code": "B10",
+    "requestID": "4J7ERJE3A6",
+    "support": "If you have questions or need support, please email [email protected]"
+}

tests/testthat/dashboard.nixtla.io/api/timegpt_multi_series-8060f6-POST.json

@@ -216,6 +216,6 @@
     "message": "success",
     "details": "request successful",
     "code": "B10",
-    "requestID": "HV44H5PFMV",
+    "requestID": "RS9XWFA7E6",
     "support": "If you have questions or need support, please email [email protected]"
 }