Added failing tests for #151

tests/recipe_tests/test_XarrayZarrRecipe.py

@@ -2,14 +2,15 @@
 from dataclasses import replace
 from unittest.mock import patch
 
+import dask.core
 import pytest
 import xarray as xr
 import zarr
 
 # need to import this way (rather than use pytest.lazy_fixture) to make it work with dask
 from pytest_lazyfixture import lazy_fixture
 
-from pangeo_forge_recipes.patterns import FilePattern
+from pangeo_forge_recipes.patterns import ConcatDim, FilePattern
 from pangeo_forge_recipes.recipes.base import BaseRecipe
 from pangeo_forge_recipes.recipes.xarray_zarr import XarrayZarrRecipe
 
@@ -167,7 +168,7 @@ def test_recipe_caching_copying(recipe, execute_recipe, cache_inputs, copy_input
         file_pattern,
         **kwargs,
         cache_inputs=cache_inputs,
-        copy_input_to_local_file=copy_input_to_local_file
+        copy_input_to_local_file=copy_input_to_local_file,
     )
     execute_recipe(rec)
     ds_actual = xr.open_zarr(target.get_mapper()).load()
@@ -454,3 +455,59 @@ def test_base_recipe():
     recipe.to_prefect().run()
     assert recipe.finalized
     assert recipe.target == {i: i for i in range(4)}
+
+
+def _make_filename_for_memory_usage_test(time):
+    import pandas as pd
+
+    input_url_pattern = (
+        "https://arthurhouhttps.pps.eosdis.nasa.gov/gpmdata/{yyyy}/{mm}/{dd}/"
+        "imerg/3B-HHR.MS.MRG.3IMERG.{yyyymmdd}-S{sh}{sm}00-E{eh}{em}59.{MMMM}.V06B.HDF5"
+    ).format(
+        yyyy=time.strftime("%Y"),
+        mm=time.strftime("%m"),
+        dd=time.strftime("%d"),
+        yyyymmdd=time.strftime("%Y%m%d"),
+        sh=time.strftime("%H"),
+        sm=time.strftime("%M"),
+        eh=time.strftime("%H"),
+        em=(time + pd.Timedelta("29 min")).strftime("%M"),
+        MMMM=f"{(time.hour*60 + time.minute):04}",
+    )
+    return input_url_pattern
+
+
+def _simple_func(*args, **kwargs):
+    return None
+
+
+@pytest.mark.timeout(90)
+@pytest.mark.filterwarnings("ignore:Large object")
+def test_memory_usage():
+    # https://github.com/pangeo-forge/pangeo-forge-recipes/issues/151
+    # Requires >4 GiB of memory to run.
+    pd = pytest.importorskip("pandas")
+    distributed = pytest.importorskip("distributed")
+
+    dates = pd.date_range("2020-05-31T00:00:00", "2021-05-31T23:59:59", freq="30min")
+    time_concat_dim = ConcatDim("time", dates, nitems_per_file=1)
+    pattern = FilePattern(_make_filename_for_memory_usage_test, time_concat_dim,)
+
+    recipe = XarrayZarrRecipe(
+        pattern, xarray_open_kwargs={"group": "Grid", "decode_coords": "all"}, inputs_per_chunk=1,
+    )
+
+    obj = recipe.to_dask()
+    dsk = obj.dask
+
+    for k, v in dsk.items():
+        if dask.core.istask(v):
+            _, *args = v
+            dsk[k] = (_simple_func,) + tuple(args)
+
+    with dask.config.set(
+        **{"distributed.worker.memory.pause": 0.95, "distributed.worker.memory.terminate": 0.9}
+    ):
+        with distributed.Client(n_workers=1, threads_per_worker=1, memory_limit="4G") as client:
+            print("submitting")
+            client.get(dsk, [obj.key])