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https://issues.apache.org/jira/browse/CLIMATE-788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ibrahim Jarif updated CLIMATE-788:
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Summary: load_file raises ValueError even when variable is present (was:
load_file.py : Raises ValueError even when variable is present)
> load_file raises ValueError even when variable is present
> ---------------------------------------------------------
>
> Key: CLIMATE-788
> URL: https://issues.apache.org/jira/browse/CLIMATE-788
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Components: data sources
> Reporter: Ibrahim Jarif
> Assignee: Ibrahim Jarif
> Priority: Critical
>
> The *_get_netcdf_variable_name()* function returns *ValueError* even when
> variable is present in dataset.
> {code}
> dataset1 =
> local.load_file('nc/AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc',variable_name='rlon')
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "build/bdist.linux-x86_64/egg/ocw/data_source/local.py", line 243, in
> load_file
> File "build/bdist.linux-x86_64/egg/ocw/data_source/local.py", line 114, in
> _get_netcdf_variable_name
> ValueError: Unable to locate a single matching variable name from the
> supplied list of valid variable names.
> {code}
> This is the file I'm using to create *Dataset*
> !http://i.imgur.com/UvAISLS.png!
> In the function *_get_netcdf_variable_name*
> {code}
> # Check for valid variable names in netCDF variable names
> variables = netcdf.variables.keys()
> vars_lower = [var.encode().lower() for var in variables]
> intersect = set(valid_var_names).intersection(vars_lower)
> if len(intersect) == 1:
> index = vars_lower.index(intersect.pop())
> return variables[index]
> {code}
> *intersect = 2* when {code}valid_var_names=['x', 'rlon', 'rlons', 'lon',
> 'lons', 'longitude', 'longitudes']{code} and {code}vars_lower=['time',
> 'rotated_pole', 'rlon', 'lon', 'rlat', 'lat', 'height', 'time_bnds',
> 'tasmax']{code}
> This condition^^ causes the exception to occur.
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