Please read this carefully before submitting a new issue:
When opening any Fire product from the DATA SOURCES panel without constraints and with caching enabled, user see the error message "cannot reshape array of size 1036800 into shape (240,720,1440)".
When limiting the time range to a single slice, e.g. 2001-01-01, 2001-01-31, it works fine.
Traceback
Traceback (most recent call last):
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xcube-0.9.2-py3.9.egg/xcube/core/store/fs/impl/dataset.py", line 205, in write_data
data.to_zarr(zarr_store,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/core/dataset.py", line 2037, in to_zarr
return to_zarr(
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/backends/api.py", line 1432, in to_zarr
writes = writer.sync(compute=compute)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/backends/common.py", line 166, in sync
delayed_store = da.store(
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/array/core.py", line 1084, in store
compute_as_if_collection(Array, store_dsk, map_keys, **kwargs)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/base.py", line 315, in compute_as_if_collection
return schedule(dsk2, keys, **kwargs)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/threaded.py", line 79, in get
results = get_async(
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/local.py", line 507, in get_async
raise_exception(exc, tb)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/local.py", line 315, in reraise
raise exc
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/local.py", line 220, in execute_task
result = _execute_task(task, data)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/core.py", line 119, in _execute_task
return func(*(_execute_task(a, cache) for a in args))
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/dask/array/core.py", line 116, in getter
c = np.asarray(c)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/numpy/core/_asarray.py", line 102, in asarray
return array(a, dtype, copy=False, order=order)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/core/indexing.py", line 357, in __array__
return np.asarray(self.array, dtype=dtype)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/numpy/core/_asarray.py", line 102, in asarray
return array(a, dtype, copy=False, order=order)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/core/indexing.py", line 521, in __array__
return np.asarray(self.array, dtype=dtype)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/numpy/core/_asarray.py", line 102, in asarray
return array(a, dtype, copy=False, order=order)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/core/indexing.py", line 422, in __array__
return np.asarray(array[self.key], dtype=None)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xarray/backends/zarr.py", line 73, in __getitem__
return array[key.tuple]
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 673, in __getitem__
return self.get_basic_selection(selection, fields=fields)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 798, in get_basic_selection
return self._get_basic_selection_nd(selection=selection, out=out,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 841, in _get_basic_selection_nd
return self._get_selection(indexer=indexer, out=out, fields=fields)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 1131, in _get_selection
self._chunk_getitem(chunk_coords, chunk_selection, out, out_selection,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 1813, in _chunk_getitem
self._process_chunk(out, cdata, chunk_selection, drop_axes,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/zarr/core.py", line 1724, in _process_chunk
chunk = chunk.reshape(self._chunks, order=self._order)
ValueError: cannot reshape array of size 1036800 into shape (240,720,1440)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/util/web/jsonrpchandler.py", line 214, in send_service_method_result
result = future.result()
File "/opt/conda/envs/xcube/lib/python3.9/concurrent/futures/_base.py", line 438, in result
return self.__get_result()
File "/opt/conda/envs/xcube/lib/python3.9/concurrent/futures/_base.py", line 390, in __get_result
raise self._exception
File "/opt/conda/envs/xcube/lib/python3.9/concurrent/futures/thread.py", line 52, in run
result = self.fn(*self.args, **self.kwargs)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/util/web/jsonrpchandler.py", line 311, in call_service_method
result = method(*method_params, monitor=monitor)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/webapi/websocket.py", line 373, in set_workspace_resource
self.workspace_manager.set_workspace_resource(base_dir,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/wsmanag.py", line 465, in set_workspace_resource
workspace.execute_workflow(res_name=res_name, monitor=monitor)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/workspace.py", line 668, in execute_workflow
self.workflow.invoke_steps(steps, context=self._new_context(), monitor=monitor)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/workflow.py", line 627, in invoke_steps
steps[0].invoke(context=context, monitor=monitor)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/workflow.py", line 318, in invoke
self._invoke_impl(_new_context(context, step=self), monitor=monitor)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/workflow.py", line 980, in _invoke_impl
return_value = self._op(monitor=monitor, **input_values)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/op.py", line 216, in __call__
return_value = self._wrapped_op(**input_values)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/ops/io.py", line 85, in open_dataset
ds, ds_id = cate.core.ds.open_dataset(dataset_id=ds_id,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/ds.py", line 457, in open_dataset
dataset, dataset_id = make_local(data=dataset,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/cate-3.1.2-py3.9.egg/cate/core/ds.py", line 488, in make_local
local_data_id = local_store.write_data(data=data, data_id=local_name)
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xcube-0.9.2-py3.9.egg/xcube/core/store/fs/store.py", line 299, in write_data
writer.write_data(data,
File "/opt/conda/envs/xcube/lib/python3.9/site-packages/xcube-0.9.2-py3.9.egg/xcube/core/store/fs/impl/dataset.py", line 210, in write_data
raise DataStoreError(f'Failed to write'
xcube.core.store.error.DataStoreError: Failed to write dataset '/home/xcube/.cate/data_stores/local/local.esacci.FIRE.mon.L4.BA.MODIS.Terra.MODIS_TERRA.v5-1.grid.6.zarr': cannot reshape array of size 1036800 into shape (240,720,1440)
Please read this carefully before submitting a new issue:
When opening any Fire product from the DATA SOURCES panel without constraints and with caching enabled, user see the error message "cannot reshape array of size 1036800 into shape (240,720,1440)".
When limiting the time range to a single slice, e.g.
2001-01-01, 2001-01-31
, it works fine.Traceback