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import os
from collections import OrderedDict
import pandas as pd
from src.core.config import get_settings
settings = get_settings()
CONFIG = {
"min_net_sales_percentage": 0.005,
"max_net_sales_percentage": 0.1,
"min_extra_qty_percentage": 0.1,
"percentage_threshold": 0.5,
}
def check_net_sales_percentage(data):
"""
Check the extra net sales percentage of total sales is between the min and max thresholds.
"""
min_threshold = CONFIG.get("min_net_sales_percentage", 0.005)
max_threshold = CONFIG.get("max_net_sales_percentage", 0.10)
pct_threshold = CONFIG.get("percentage_threshold", 0.5)
data["CHECK_EXTRA_NS_PCT"] = (min_threshold <= data.EXTRA_NET_SALE_PCT) & (
data.EXTRA_NET_SALE_PCT <= max_threshold
)
data.drop(columns=["EXTRA_NET_SALE_PCT"], inplace=True)
pct = data["CHECK_EXTRA_NS_PCT"].mean()
return pct > pct_threshold
def check_in_history(reco, history, type):
"""
Check if the product/basket is already in the history of the store
"""
pct_threshold = CONFIG.get("percentage_threshold", 0.5)
# check if the product was sold last week or in the whole history
reco["CHECK_IN_HISTORY"] = reco.QTY_CURRENT > 0 | reco[
"DISPLAY_NAME"
].isin(history[type])
pct = reco.CHECK_IN_HISTORY.mean()
return pct > pct_threshold
def check_extra_qty(reco):
"""
Check the extra quantity percentage of total sales is above the threshold.
"""
min_threshold_pct = CONFIG.get("min_extra_qty_percentage", 0.1)
pct_threshold = CONFIG.get("percentage_threshold", 0.5)
min_threshold = reco["QTY_CURRENT"] * min_threshold_pct
reco["CHECK_EXTRA_QTY_PCT"] = reco["QTY_CURRENT"] > min_threshold
pct = reco["CHECK_EXTRA_QTY_PCT"].mean()
return pct > pct_threshold
def checks(reco, history, type):
"""
Run all checks
"""
if type == "PROD_NAME":
check_net_sales_percentage(reco)
check_extra_qty(reco)
check_in_history(reco, history, type)
# Filter out the recommendations that don't pass the checks
check_cols = [c for c in reco.columns if c.startswith("CHECK_")]
reco = reco[reco[check_cols].all(axis=1)].drop(columns=check_cols)
return reco
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