Automate configuration of sectors using benchmarks, not manually

[MichaelTiemannOSC]

This code in configs.py:

    @classmethod
    def get_configured_sectors(cls) -> List[str]:
        """                                                                                                                                                                                                                                                  
        Get a list of sectors configured in the tool.                                                                                                                                                                                                        
        :return: A list of sectors string values                                                                                                                                                                                                             
        """
        return [SectorsConfig.POWER_UTILITY, SectorsConfig.GAS_UTILITY, SectorsConfig.UTILITY,
                SectorsConfig.STEEL, SectorsConfig.ALUMINUM,
                SectorsConfig.OIL_AND_GAS,
                SectorsConfig.AUTOMOBILE, SectorsConfig.TRUCKING,
                SectorsConfig.CEMENT, SectorsConfig.BUILDINGS,
                SectorsConfig.TEXTILES, SectorsConfig.CHEMICALS,
                ]

and this code in interfaces.py:

    def _sector_to_production_units(self, sector, region="Global"):
        sector_unit_dict = {
            'Electricity Utilities': { 'North America':'MWh', 'Global': 'GJ' },
            'Gas Utilities': { 'Global': 'PJ' },
            'Utilities': { 'Global': 'PJ' },
            'Steel': { 'Global': 't Steel' },
            'Aluminum': { 'Global': 't Aluminum' },
            'Oil & Gas': { 'Global': 'mmboe' },
            'Autos': { 'Global': 'pkm' },
            'Trucking': { 'Global': 'tkm' },
            'Cement': { 'Global': 't Cement' },
            'Buildings': { 'Global': 'billion m**2' }, # Should it be 'built m**2' ?                                                                                                                                                                         
            'Textiles': { 'Global': 'billion USD' },
            'Chemicals': { 'Global': 'billion USD' },
        }
        units = None
        if sector_unit_dict.get(sector):
            region_unit_dict = sector_unit_dict[sector]
            if region_unit_dict.get(region):
                units = region_unit_dict[region]
            else:
                units = region_unit_dict['Global']
        else:
            raise ValueError(f"No source of production metrics for {self.company_name}")
        return units

Should be re-worked to get all the data from benchmark files. We now have 12 (soon to be more than 20) sectors represented, and we don't want to have to bother the source code to add new sectors via benchmark files.

In addition, it is not correct to blindly assume that all benchmarks and all sectors aggregate scope data the same way. Both OECM and TPI prescribe which scope information should be aggregated against what sectoral benchmark. Failure to follow the correct aggregation rules can lead to over- or under-counting emissions vs. the construction of the benchmark. See page 6 of this TPI document for example.