def _boundary_coverage(self,
target: IDataProviderTarget) -> IDataProviderTarget:
"""
Test on boundary coverage:
Option 1: minimal coverage threshold
For S1+S2 targets: coverage% must be at or above 95%, for S3 targets coverage must be above 67%
Option 2: weighted coverage
Thresholds are still 95% and 67%, target is always valid. Below threshold ambition is scaled.*
New target ambition = input target ambition * coverage
*either here or in tem score module
Option 3: default coverage
Target is always valid, % uncovered is given default score in temperature score module.
:param target: The input target
:return: The original target with a weighted reduction ambition, if so required
"""
if target.scope == EScope.S1S2:
if target.coverage_s1 < 0.95:
target.reduction_ambition = target.reduction_ambition * target.coverage_s1
elif target.scope == EScope.S3:
if target.coverage_s3 < 0.67:
target.reduction_ambition = target.reduction_ambition * target.coverage_s3
return target
def _combine_s1_s2(self, target: IDataProviderTarget):
"""
Check if there is an S2 target that matches this target exactly (if this is a S1 target) and combine them into one target.
:param target: The input target
:return: The combined target (or the original if no combining was required)
"""
if target.scope == EScope.S1 and not pd.isnull(
target.base_year_ghg_s1):
matches = [
t for t in self.s2_targets
if t.company_id == target.company_id and t.base_year == target.
base_year and t.start_year == target.start_year and t.end_year
== target.end_year and t.target_type == target.target_type
and t.intensity_metric == target.intensity_metric
]
if len(matches) > 0:
matches.sort(key=lambda t: t.coverage_s2, reverse=True)
s2 = matches[0]
combined_coverage = (target.coverage_s1 * target.base_year_ghg_s1 +
s2.coverage_s2 * s2.base_year_ghg_s2) / \
(target.base_year_ghg_s1 + s2.base_year_ghg_s2)
target.reduction_ambition = target.reduction_ambition * target.coverage_s1 * target.base_year_ghg_s1 + \
s2.reduction_ambition * s2.coverage_s1 * s2.base_year_ghg_s2 / \
(target.base_year_ghg_s1 + s2.base_year_ghg_s1) / combined_coverage
target.coverage_s1 = combined_coverage
target.coverage_s2 = combined_coverage
# We don't need to delete the S2 target as it'll be definition have a lower coverage than the combined
# target, therefore it won't be picked for our 9-box grid
return target