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new_pi_credit_processor.py
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import sys
import logging
from dataclasses import dataclass
import pandas
import pyarrow
from process_report import util
from process_report.invoices import invoice
from process_report.processors import discount_processor
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
@dataclass
class NewPICreditProcessor(discount_processor.DiscountProcessor):
"""
This processor operates on data processed by these Processors:
- ValidateBillablePIsProcessor
"""
NEW_PI_CREDIT_CODE = "0002"
EXCLUDE_SU_TYPES = ["OpenShift GPUA100SXM4", "OpenStack GPUA100SXM4"]
IS_DISCOUNT_BY_NERC = True
old_pi_filepath: str
initial_credit_amount: int
limit_new_pi_credit_to_partners: bool = False
@staticmethod
def _load_old_pis(old_pi_filepath) -> pandas.DataFrame:
try:
old_pi_df = pandas.read_csv(
old_pi_filepath,
dtype={
invoice.PI_INITIAL_CREDITS: pandas.ArrowDtype(
pyarrow.decimal128(21, 2)
),
invoice.PI_1ST_USED: pandas.ArrowDtype(pyarrow.decimal128(21, 2)),
invoice.PI_2ND_USED: pandas.ArrowDtype(pyarrow.decimal128(21, 2)),
},
)
except FileNotFoundError:
sys.exit("Applying credit 0002 failed. Old PI file does not exist")
return old_pi_df
@staticmethod
def _get_pi_age(old_pi_df: pandas.DataFrame, pi, invoice_month):
"""Returns time difference between current invoice month and PI's first invoice month
I.e 0 for new PIs
Will raise an error if the PI'a age is negative, which suggests a faulty invoice, or a program bug"""
first_invoice_month = old_pi_df.loc[
old_pi_df[invoice.PI_PI_FIELD] == pi, invoice.PI_FIRST_MONTH
]
if first_invoice_month.empty:
return 0
month_diff = util.get_month_diff(invoice_month, first_invoice_month.iat[0])
if month_diff < 0:
sys.exit(
f"PI {pi} from {first_invoice_month} found in {invoice_month} invoice!"
)
else:
return month_diff
def _filter_partners(self, data):
active_partnerships = list()
institute_list = util.load_institute_list()
for institute_info in institute_list.root:
if partnership_start_date := institute_info.mghpcc_partnership_start_date:
if util.get_month_diff(self.invoice_month, partnership_start_date) >= 0:
active_partnerships.append(institute_info.display_name)
return data[data[invoice.INSTITUTION_FIELD].isin(active_partnerships)]
def _filter_excluded_su_types(self, data):
return data[~(data[invoice.SU_TYPE_FIELD].isin(self.EXCLUDE_SU_TYPES))]
def _filter_nonbillables(self, data):
return data[data["Is Billable"]]
def _filter_missing_pis(self, data):
return data[~data["Missing PI"]]
def _get_credit_eligible_projects(self, data: pandas.DataFrame):
filtered_data = self._filter_nonbillables(data)
filtered_data = self._filter_missing_pis(filtered_data)
filtered_data = self._filter_excluded_su_types(filtered_data)
if self.limit_new_pi_credit_to_partners:
filtered_data = self._filter_partners(filtered_data)
return filtered_data
def _apply_credits_new_pi(
self, data: pandas.DataFrame, old_pi_df: pandas.DataFrame
):
def get_initial_credit_amount(
old_pi_df, invoice_month, default_initial_credit_amount
):
first_month_processed_pis = old_pi_df[
old_pi_df[invoice.PI_FIRST_MONTH] == invoice_month
]
if first_month_processed_pis[
invoice.PI_INITIAL_CREDITS
].empty or pandas.isna(
new_pi_credit_amount := first_month_processed_pis[
invoice.PI_INITIAL_CREDITS
].iat[0]
):
new_pi_credit_amount = default_initial_credit_amount
return new_pi_credit_amount
new_pi_credit_amount = get_initial_credit_amount(
old_pi_df, self.invoice_month, self.initial_credit_amount
)
logger.info(
f"New PI Credit set at {new_pi_credit_amount} for {self.invoice_month}"
)
credit_eligible_projects = self._get_credit_eligible_projects(data)
current_pi_set = set(credit_eligible_projects[invoice.PI_FIELD])
for pi in current_pi_set:
pi_projects = credit_eligible_projects[
credit_eligible_projects[invoice.PI_FIELD] == pi
]
pi_age = self._get_pi_age(old_pi_df, pi, self.invoice_month)
pi_old_pi_entry = old_pi_df.loc[
old_pi_df[invoice.PI_PI_FIELD] == pi
].squeeze()
if pi_age > 1:
for i, row in pi_projects.iterrows():
data.at[i, invoice.BALANCE_FIELD] = row[invoice.COST_FIELD]
else:
if pi_age == 0:
if len(pi_old_pi_entry) == 0:
pi_entry = [pi, self.invoice_month, new_pi_credit_amount, 0, 0]
old_pi_df = pandas.concat(
[
pandas.DataFrame([pi_entry], columns=old_pi_df.columns),
old_pi_df,
],
ignore_index=True,
)
pi_old_pi_entry = old_pi_df.loc[
old_pi_df[invoice.PI_PI_FIELD] == pi
].squeeze()
remaining_credit = new_pi_credit_amount
credit_used_field = invoice.PI_1ST_USED
elif pi_age == 1:
remaining_credit = (
pi_old_pi_entry[invoice.PI_INITIAL_CREDITS]
- pi_old_pi_entry[invoice.PI_1ST_USED]
)
credit_used_field = invoice.PI_2ND_USED
credits_used = self.apply_flat_discount(
data,
pi_projects,
invoice.PI_BALANCE_FIELD,
remaining_credit,
invoice.CREDIT_FIELD,
invoice.BALANCE_FIELD,
invoice.CREDIT_CODE_FIELD,
self.NEW_PI_CREDIT_CODE,
)
if (pi_old_pi_entry[credit_used_field] != 0) and (
credits_used != pi_old_pi_entry[credit_used_field]
):
logger.warning(
f"PI file overwritten. PI {pi} previously used ${pi_old_pi_entry[credit_used_field]} of New PI credits, now uses ${credits_used}"
)
old_pi_df.loc[
old_pi_df[invoice.PI_PI_FIELD] == pi, credit_used_field
] = credits_used
return (data, old_pi_df)
def _prepare(self):
self.data[invoice.CREDIT_FIELD] = None
self.data[invoice.CREDIT_CODE_FIELD] = None
self.data[invoice.PI_BALANCE_FIELD] = self.data[invoice.COST_FIELD]
self.data[invoice.BALANCE_FIELD] = self.data[invoice.COST_FIELD]
self.old_pi_df = self._load_old_pis(self.old_pi_filepath)
def _process(self):
self.data, self.updated_old_pi_df = self._apply_credits_new_pi(
self.data, self.old_pi_df
)