Update backend/api/routes/biology.py

backend/api/routes/biology.py

@@ -83,15 +83,27 @@ async def biology_chill_units(
         start = pd.Timestamp(season_start, tz="UTC")
         end = pd.Timestamp(datetime.now(timezone.utc))
 
-        # Fetch hourly avg temp from Air2 (under panels) and Air1 (open field)
-        df_panels = client.get_timeseries(
-            "Air2", ["airTemperature"], start=start, end=end,
-            interval_ms=3_600_000, agg="AVG", limit=10000,
-        )
-        df_open = client.get_timeseries(
-            "Air1", ["airTemperature"], start=start, end=end,
-            interval_ms=3_600_000, agg="AVG", limit=10000,
-        )
+        # Fetch hourly avg temp in 30-day chunks (TB rejects large ranges)
+        def _fetch_chunked(device, start, end):
+            import pandas as _pd
+            chunks = []
+            cursor = start
+            while cursor < end:
+                chunk_end = min(cursor + pd.Timedelta(days=30), end)
+                try:
+                    chunk = client.get_timeseries(
+                        device, ["airTemperature"], start=cursor, end=chunk_end,
+                        interval_ms=3_600_000, agg="AVG", limit=5000,
+                    )
+                    if not chunk.empty:
+                        chunks.append(chunk)
+                except Exception:
+                    pass
+                cursor = chunk_end
+            return _pd.concat(chunks) if chunks else _pd.DataFrame()
+
+        df_panels = _fetch_chunked("Air2", start, end)
+        df_open = _fetch_chunked("Air1", start, end)
 
         panels_data, panels_total = _compute_chill(df_panels)
         open_data, open_total = _compute_chill(df_open)