Traceback (most recent call last):
File "c:\miniconda2\envs\ed\lib\site-packages\smif\controller\scheduler.py", line 178, in add
self._run(job_graph, job_graph_id) File
"c:\miniconda2\envs\ed\lib\site-packages\smif\controller\scheduler.py", line 237, in _run
decision_iteration=job['decision_iteration'] File
"c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\data_handle.py", line 62, in
__init__ self._load_parameters(sos_model, modelrun['narratives']) File
"c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\data_handle.py", line 129, in
_load_parameters narrative_name, variant_name, parameter File
"c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\store.py", line 551, in
read_narrative_variant _data return
self.data_store.read_narrative_variant_data(key, spec, timestep) File
"c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\file\file_data_store.py", line 95,
in read_nar rative_variant_data return self._read_data_array(path,
spec, timestep) File
"c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\file\file_data_store.py", line
376, in _read_d ata_array data_array = DataArray.from_df(spec,
dataframe) File "c:\miniconda2\envs\ed\lib\site-packages\smif\data_layer\data_array.py",
line 153, in from_df xr_dataset = dataframe.to_xarray() # convert to dataset File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\generic.py",
lin e 1690, in to_xarray return xarray.Dataset.from_dataframe(self)
File "c:\miniconda2\envs\ed\lib\site-packages\xarray\core\dataset.py", line 3092, in
from_dataframe dataframe = dataframe.reindex(full_idx) File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\util\_decorators.py",
line 127, in wrapper return func(*args, **kwargs) File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\frame.py",
line 2935, in reindex return super(DataFrame, self).reindex(**kwargs)
File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\generic.py",
lin e 3023, in reindex fill_value, copy).__finalize__(self) File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\frame.py",
line 2870, in _reindex_axes fill_value, limit, tolerance) File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\frame.py",
line 2878, in _reindex_index tolerance=tolerance) File
"c:\miniconda2\envs\ed\lib\site-packages\pandas-0.22.0-py3.6-win-amd64.egg\pandas\core\indexes\multi.py
", line 1903, in reindex raise Exception("cannot handle a non-unique multi-index!")
Exception: cannot handle a non-unique multi-index! Exception: cannot handle a non-unique
multi-index!
Should be SmifDataMismatch or similar, with message that filename (for narrative, variant,
parameter..) had some row (include details) duplicated.
Check also the case where the value might be different:
Error triggered by reading in narrative data with accidentally-duplicate rows:
Was:
Should be SmifDataMismatch or similar, with message that filename (for narrative, variant, parameter..) had some row (include details) duplicated.
Check also the case where the value might be different:
is self-contradictory.