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Implemented processor for removing nonbillables and validating billab…
…le PIs Two new fields, which are used internally by the scripts and never exported, have been added: - IS_BILLABLE_FIELD: Boolean field for whether the project is billable - MISSING_PI_FIELD: Boolean field that is True if PI name field is empty
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42 changes: 42 additions & 0 deletions
42
process_report/processors/validate_billable_pi_processor.py
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Original file line number | Diff line number | Diff line change |
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from dataclasses import dataclass | ||
import logging | ||
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import pandas | ||
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from process_report.invoices import invoice | ||
from process_report.processors import processor | ||
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logger = logging.getLogger(__name__) | ||
logging.basicConfig(level=logging.INFO) | ||
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@dataclass | ||
class ValidateBillablePIsProcessor(processor.Processor): | ||
nonbillable_pis: list[str] | ||
nonbillable_projects: list[str] | ||
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@staticmethod | ||
def _validate_pi_names(data: pandas.DataFrame): | ||
invalid_pi_projects = data[pandas.isna(data[invoice.PI_FIELD])] | ||
for i, row in invalid_pi_projects.iterrows(): | ||
if row[invoice.IS_BILLABLE_FIELD]: | ||
logger.warning( | ||
f"Billable project {row[invoice.PROJECT_FIELD]} has empty PI field" | ||
) | ||
return pandas.isna(data[invoice.PI_FIELD]) | ||
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@staticmethod | ||
def _get_billables( | ||
data: pandas.DataFrame, | ||
nonbillable_pis: list[str], | ||
nonbillable_projects: list[str], | ||
): | ||
return ~data[invoice.PI_FIELD].isin(nonbillable_pis) & ~data[ | ||
invoice.PROJECT_FIELD | ||
].isin(nonbillable_projects) | ||
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def _process(self): | ||
self.data[invoice.IS_BILLABLE_FIELD] = self._get_billables( | ||
self.data, self.nonbillable_pis, self.nonbillable_projects | ||
) | ||
self.data[invoice.MISSING_PI_FIELD] = self._validate_pi_names(self.data) |
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