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from datetime import datetime
from pandas_queries import utils
Q_NUM = 4
def q():
date1 = datetime(1993, 10, 1)
date2 = datetime(1993, 7, 1)
line_item_ds = utils.get_line_item_ds
orders_ds = utils.get_orders_ds
# first call one time to cache in case we don't include the IO times
line_item_ds()
orders_ds()
def query():
nonlocal line_item_ds
nonlocal orders_ds
line_item_ds = line_item_ds()
orders_ds = orders_ds()
lsel = line_item_ds.l_commitdate < line_item_ds.l_receiptdate
osel = (orders_ds.o_orderdate < date1) & (orders_ds.o_orderdate >= date2)
flineitem = line_item_ds[lsel]
forders = orders_ds[osel]
jn = forders[forders["o_orderkey"].isin(flineitem["l_orderkey"])]
result_df = (
jn.groupby("o_orderpriority", as_index=False)["o_orderkey"]
.count()
.sort_values(["o_orderpriority"])
.rename(columns={"o_orderkey": "order_count"})
)
return result_df
utils.run_query(Q_NUM, query)
if __name__ == "__main__":
q()
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