Describe the Problem

Merging MET #1319 to read/write temporary gridded NetCDF files instead of pickle files has introduced a small problem. @georgemccabe found that METplus use cases calling user python embedding are now failing. The problem is in the "read_tmp_dataplane.py" script. It converts the 'nx' and 'ny' attributes to integers so that the MET code can parse their values properly.

The problem is the 'nx' and 'ny' grid attributes are not defined for all projection types, specifically they are not defined for LatLon grids. This makes the "read_tmp_dataplane.py" script fail when processing LatLon grids.

I recommend two changes. First, remove that line from the read_tmp_dataplane.py script. Second, enhance the MET library code to handle long long python objects directly and just interpret them as integers. The second change will remove the need for casting the variable type in the first place.

Expected Behavior

User python embedding should work for all projection types, not just the ones that include nx and ny as grid attribute names.

Environment

Describe your runtime environment:
1. Machine: seen in Docker by @georgemccabe and reproduced on my Mac laptop

To Reproduce

Describe the steps to reproduce the behavior:
1. Ran the following commands on my laptop:

mv read_ascii_numpy_latlon.py.txt read_ascii_numpy_latlon.py
export MET_PYTHON_EXE=/opt/local/bin/python3
plot_data_plane PYTHON_NUMPY letter_pickle.ps \
'name = "./read_ascii_numpy_latlon.py letter.txt LETTER";'

Using these files:
read_ascii_numpy_latlon.py.txt
letter.txt
2: Observe error:

ERROR  : Python3_Dict::lookup_int(const char *) -> value for key "Nlat" not an integer

Relevant Deadlines

Fix ASAP

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