diff --git a/test_scripts/update_dts.py b/test_scripts/update_dts.py
new file mode 100644
index 0000000..c5cfe9a
--- /dev/null
+++ b/test_scripts/update_dts.py
@@ -0,0 +1,94 @@
+# Example script for ingesting data from an fdb into a qube
+# Notes
+# Uses fdb --compact
+# Splits by data in order to avoid out of memory problems with fdb --compact
+# Does a bit of processing like removing "year" and "month" keys
+# Might want to add datatypes and reordering of keys there too
+
+import json
+import subprocess
+from datetime import datetime, timedelta
+from time import time
+
+import psutil
+from qubed import Qube
+from tqdm import tqdm
+
+process = psutil.Process()
+
+CHUNK_SIZE = timedelta(days=60)
+FILEPATH = "./full_dt_qube.json"
+API = "https://qubed.lumi.apps.dte.destination-earth.eu/api/v1"
+
+
+def ecmwf_date(d):
+    return d.strftime("%Y%m%d")
+
+
+# start_date = datetime.now() - timedelta(days=10)
+start_date = datetime(1990, 1, 1)
+# end_date = datetime.now()
+end_date = datetime(2026, 1, 1)
+
+current_span = [end_date - CHUNK_SIZE, end_date]
+
+qube = Qube.load(FILEPATH)
+# qube = Qube.empty()
+
+while current_span[0] > start_date:
+    for config in ["config-climate-dt.yaml", "config-extremes-dt.yaml"]:
+        t0 = time()
+        start, end = map(ecmwf_date, current_span)
+        print(f"Doing {config} {current_span[0].date()} - {current_span[1].date()}")
+        print(f"Current memory usage: {process.memory_info().rss / 1e9:.2g}GB")
+        print(f"{qube.n_nodes = }, {qube.n_leaves = },")
+
+        subqube = Qube.empty()
+        command = [
+            f"fdb list --compact --config {config} --minimum-keys=date class=d1,date={start}/{end}"
+        ]
+        try:
+            p = subprocess.run(
+                command,
+                text=True,
+                shell=True,
+                stderr=subprocess.PIPE,
+                stdout=subprocess.PIPE,
+                check=True,
+            )
+        except Exception as e:
+            print(f"Failed for {current_span} {e}")
+            continue
+
+        print("Got compact list")
+        for i, line in tqdm(enumerate(list(p.stdout.split("\n")))):
+            if not line.startswith("retrieve,class="):
+                continue
+
+            def split(t):
+                return t[0], t[1].split("/")
+
+            # Could do datatypes here
+            request = dict(split(v.split("=")) for v in line.strip().split(",")[1:])
+            request.pop("year", None)
+            request.pop("month", None)
+            # Could do things like date = year + month + day
+            q = Qube.from_datacube(request)
+            subqube = subqube | q
+        print("added to qube")
+
+        qube = qube | subqube
+        subqube.print(depth=2)
+        print(f"{subqube.n_nodes = }, {subqube.n_leaves = },")
+
+        # requests.post(
+        #         API + "/union/climate-dt/",
+        #         headers = {"Authorization" : "Bearer ?????"},
+        #         json = subqube.to_json())
+
+        current_span = [current_span[0] - CHUNK_SIZE, current_span[0]]
+        print(
+            f"Did that taking {(time() - t0) / CHUNK_SIZE.days:2g} seconds per day ingested, total {(time() - t0):2g}s"
+        )
+    with open(FILEPATH, "w") as f:
+        json.dump(qube.to_json(), f)