Sync: input validation, rate limits, NaN handling, compressed output

convgru_ensemble/serve.py

@@ -2,6 +2,7 @@
 
 import io
 import os
+import tempfile
 import time
 from contextlib import asynccontextmanager
 
@@ -149,13 +150,14 @@ async def predict(
         )
 
     data = da.values
-    if not np.isfinite(data).all():
+    if np.isinf(data).any():
         raise HTTPException(
             status_code=422,
-            detail="Input data contains NaN or Inf values.",
+            detail="Input data contains Inf values.",
         )
 
-    past = data.astype(np.float32)
+    # Replace NaN with 0 (no rain) — common for masked radar pixels
+    past = np.nan_to_num(data, nan=0.0).astype(np.float32)
 
     # Run inference
     preds = _model.predict(past, forecast_steps=forecast_steps, ensemble_size=ensemble_size)
@@ -182,12 +184,15 @@ async def predict(
     encoding = {
         "precipitation_forecast": {"zlib": True, "complevel": 4},
     }
-    buf = io.BytesIO()
-    ds_out.to_netcdf(buf, engine="h5netcdf", encoding=encoding)
-    buf.seek(0)
+    with tempfile.NamedTemporaryFile(suffix=".nc", delete=False) as tmp_out:
+        tmp_out_path = tmp_out.name
+    ds_out.to_netcdf(tmp_out_path, engine="netcdf4", encoding=encoding)
+    with open(tmp_out_path, "rb") as fh:
+        out_bytes = fh.read()
+    os.unlink(tmp_out_path)
 
     return Response(
-        content=buf.getvalue(),
+        content=out_bytes,
         media_type="application/x-netcdf",
         headers={
             "Content-Disposition": "attachment; filename=predictions.nc",

tests/test_serve.py

@@ -54,7 +54,7 @@ def test_predict_returns_netcdf(client):
     # Create a small NetCDF file in memory
     ds = xr.Dataset({"RR": xr.DataArray(np.zeros((4, 8, 8), dtype=np.float32), dims=["time", "y", "x"])})
     buf = io.BytesIO()
-    ds.to_netcdf(buf)
+    ds.to_netcdf(buf, engine="scipy")
     buf.seek(0)
 
     resp = client.post(

uv.lock

@@ -2,8 +2,10 @@ version = 1
 revision = 1
 requires-python = ">=3.13"
 resolution-markers = [
-    "python_full_version >= '3.14'",
-    "python_full_version < '3.14'",
+    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "(python_full_version >= '3.14' and platform_machine != 'ARM64') or (python_full_version >= '3.14' and sys_platform != 'win32')",
+    "python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "(python_full_version < '3.14' and platform_machine != 'ARM64') or (python_full_version < '3.14' and sys_platform != 'win32')",
 ]
 
 [[package]]
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 ]
 
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+dependencies = [
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+]
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+]
+
 [[package]]
 name = "charset-normalizer"
 version = "3.4.4"
@@ -464,13 +497,17 @@ dependencies = [
     { name = "etils" },
     { name = "fiddle" },
     { name = "fire" },
+    { name = "h5netcdf" },
+    { name = "h5py" },
     { name = "huggingface-hub" },
     { name = "importlib-resources" },
     { name = "jupyterlab" },
     { name = "matplotlib" },
+    { name = "netcdf4" },
     { name = "numpy" },
     { name = "pandas" },
     { name = "pysteps" },
+    { name = "python-magic" },
     { name = "pytorch-lightning" },
     { name = "pyyaml" },
     { name = "tensorboard" },
@@ -503,13 +540,17 @@ requires-dist = [
     { name = "fastapi", marker = "extra == 'serve'", specifier = ">=0.115.0" },
     { name = "fiddle", specifier = ">=0.3.0" },
     { name = "fire", specifier = ">=0.7.1" },
+    { name = "h5netcdf", specifier = ">=1.8.1" },
+    { name = "h5py", specifier = ">=3.15.1" },
     { name = "huggingface-hub", specifier = ">=0.27.0" },
     { name = "importlib-resources", specifier = ">=6.5.2" },
     { name = "jupyterlab", specifier = ">=4.5.5" },
     { name = "matplotlib", specifier = ">=3.10.8" },
+    { name = "netcdf4", specifier = ">=1.7.0" },
     { name = "numpy", specifier = ">=2.3.5" },
     { name = "pandas", specifier = ">=2.3.3" },
     { name = "pysteps", specifier = ">=1.19.0" },
+    { name = "python-magic", specifier = ">=0.4.27" },
     { name = "python-multipart", marker = "extra == 'serve'", specifier = ">=0.0.18" },
     { name = "pytorch-lightning", specifier = ">=2.6.0" },
     { name = "pyyaml", specifier = ">=6.0.3" },
@@ -879,6 +920,46 @@ wheels = [
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 version = "1.3.1"
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