MPL reader breaks in newer environment of xarray, numpy etc.

[zssherman]

def test_io_mpldataset():
    mpl_ds = act.io.mpl.read_sigma_mplv5(act.tests.EXAMPLE_SIGMA_MPLV5)

    # Tests fields
    assert 'channel_1' in mpl_ds.variables.keys()
    assert 'temp_0' in mpl_ds.variables.keys()
    assert mpl_ds.channel_1.values.shape == (102, 1000)

    # Tests coordinates
    assert 'time' in mpl_ds.coords.keys()
    assert 'range' in mpl_ds.coords.keys()
    assert mpl_ds.coords['time'].values.shape == (102,)
    assert mpl_ds.coords['range'].values.shape == (1000,)
    assert '_arm_standards_flag' in mpl_ds.attrs.keys()

    # Tests attributes
    assert '_datastream' in mpl_ds.attrs.keys()
    mpl_ds.close()

Returns:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[9], line 1
----> 1 test_io_mpldataset()

Cell In[8], line 2, in test_io_mpldataset()
      1 def test_io_mpldataset():
----> 2     mpl_ds = act.io.mpl.read_sigma_mplv5(act.tests.EXAMPLE_SIGMA_MPLV5)
      4     # Tests fields
      5     assert 'channel_1' in mpl_ds.variables.keys()

File ~\dev\ACT\act\io\mpl.py:75, in read_sigma_mplv5(filename, save_nc, out_nc_path, afterpulse, dead_time, overlap, **kwargs)
     62 for f in filename:
     63     task.append(
     64         dask.delayed(proc_sigma_mplv5_read)(
     65             f,
   (...)
     72         )
     73     )
---> 75 results_ds = dask.compute(*task)
     77 ds = xr.concat(results_ds, 'time')
     79 return ds

File ~\mambaforge\envs\act-docs\Lib\site-packages\dask\base.py:660, in compute(traverse, optimize_graph, scheduler, get, *args, **kwargs)
    657     postcomputes.append(x.__dask_postcompute__())
    659 with shorten_traceback():
--> 660     results = schedule(dsk, keys, **kwargs)
    662 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])

File ~\dev\ACT\act\io\mpl.py:147, in proc_sigma_mplv5_read(f, save_nc, out_nc_path, afterpulse, dead_time, overlap, **kwargs)
    140     #os.remove(tmpfile2)
    141 
    142 # Calculate range in meters
    143 #ds['range'] = 0.5 * 1* 1 * (ds.range + 0.5)
    144 
    145 # Swap the coordinates to be time and range
    146 ds = ds.swap_dims({'profile': 'time'})
--> 147 ds = ds.assign_coords({'time': ds.time, 'range': ds.range})
    149 # Add metadata
    150 is_arm_file_flag = check_arm_standards(ds)

File ~\mambaforge\envs\act-docs\Lib\site-packages\xarray\core\common.py:300, in AttrAccessMixin.__getattr__(self, name)
    298         with suppress(KeyError):
    299             return source[name]
--> 300 raise AttributeError(
    301     f"{type(self).__name__!r} object has no attribute {name!r}"
    302 )

AttributeError: 'Dataset' object has no attribute 'range'

[zssherman]

We didn't catch this in newer versions because there is a try and except exception catch

[zssherman]

It seems the issue is mpl2nc is producing files with barely anything in them..

xarray.Dataset

Dimensions:
profile: 0

Coordinates: (0)

Data variables:
unit
(profile)
uint16
...



Indexes: (0)

Attributes: (0)
``