Unnecessary error when no scenario in the input has any 2010 data reported

[jkikstra]

Desired behaviour Both 2015 + list(range(2020, 2101, 10)) and 2010 + list(range(2020, 2101, 10)) are supposed to be acceptable inputs.

Issue With input that has no 2010 value reported, but does have 2015 + list(range(2020, 2101, 10)) ar6_minimum_emissions_co2eip.csv, we get an error looking like this (running run-example-fair.ipynb):

run_workflow(
    input_emissions_file,
    outdir,
    model=model,
    model_version=model_version,
    probabilistic_file=probabilistic_file,
    fair_extra_config=fair_extra_config,
    num_cfgs=num_cfgs,
    infilling_database=infilling_database_file,
    scenario_batch_size=scenario_batch_size,
)

2022-12-12 14:31:06 climate_assessment.cli MainThread - INFO:  Outputs will be saved in: ..\data\output-fair-example-notebook
2022-12-12 14:31:06 climate_assessment.cli MainThread - INFO:  Outputs will be saved with the ID: ar6_minimum_emissions_co2eip
2022-12-12 14:31:06 climate_assessment.cli MainThread - INFO:  Loading ..\tests\test-data\ar6_minimum_emissions_co2eip.csv
2022-12-12 14:31:06 climate_assessment.cli MainThread - INFO:  Converting to basic columns i.e. removing any extra columns
2022-12-12 14:31:06 climate_assessment.cli MainThread - INFO:  Performing input data checks
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: if no non-co2 negatives are reported.
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: report emissions for all minimally required years.
2022-12-12 14:31:06 pyam.utils MainThread - WARNING:  Formatted data is empty!
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: combine E&IP if reported separately.
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: reclassify Waste and Other CO2 under E&IP.
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: delete rows only reporting zero for the entire timeframe.
2022-12-12 14:31:06 climate_assessment.checks MainThread - INFO:  CHECK: check if co2 lead variables are reported.
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  Using ar6 instance for harmonization
2022-12-12 14:31:06 scmdata.run MainThread - INFO:  Reading c:\users\kikstra\documents\github\climate-assessment\src\climate_assessment\harmonization\history_ar6.csv
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  Not harmonizing set()
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  harmonization_year 2015
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  Stripping equivalent units for processing
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  Creating pd.DataFrame's for aneris
2022-12-12 14:31:06 climate_assessment.harmonization MainThread - INFO:  Adding 2015 values based on historical percentage offset from 2010

...

c:\users\kikstra\documents\github\climate-assessment\src\climate_assessment\harmonization_and_infilling.py in harmonization_and_infilling(df, key_string, infilling_database, prefix, instance, outdir, do_harmonization)
     68 
     69     if do_harmonization:
---> 70         harmonized = run_harmonization(df, instance=instance, prefix=prefix)
     71     else:
     72         LOGGER.info("Not performing harmonization")

c:\users\kikstra\documents\github\climate-assessment\src\climate_assessment\harmonization\__init__.py in run_harmonization(df, instance, prefix)
    193             history,
    194             yr=historical_offset_add_year,
--> 195             low_yr=historical_offset_base_year,
    196         )
    197 

c:\users\kikstra\documents\github\climate-assessment\src\climate_assessment\harmonization\__init__.py in add_year_historical_percentage_offset(df, dfhist, yr, low_yr)
    118         df = pd.concat([df2015, dfno2015])
    119     else:
--> 120         raise KeyError(f"{low_yr} not in `dfno2015`")
    121 
    122     return df

KeyError: '2010 not in `dfno2015`'

Proposed minimum solution In the function def add_year_historical_percentage_offset(), add a check that checks if ALL scenarios have 2015, while NONE have 2010.

Proposed desired solution tbd.