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from __future__ import annotations
from datetime import UTC, datetime, timedelta
from itertools import product
import pandas as pd
import pytest
from dask.distributed import Client as DaskClient
# noinspection PyUnresolvedReferences
from generalresearch.incite.mergers.foundations.user_id_product import (
UserIdProductMerge,
UserIdProductMergeItem,
)
@pytest.mark.parametrize(
argnames="offset, duration, start",
argvalues=list(
product(
["12h", "3D"],
[timedelta(days=5)],
[(datetime.now(tz=UTC) - timedelta(days=35)).replace(microsecond=0)],
)
),
)
class TestUserIDProduct:
@pytest.mark.skip
def test_base(
self, client_no_amm: DaskClient, user_id_product_merge: UserIdProductMerge
):
ddf = user_id_product_merge.ddf()
df = client_no_amm.compute(collections=ddf, sync=True)
assert isinstance(df, pd.DataFrame)
assert not df.empty
@pytest.mark.skip
def test_base_item(
self,
client_no_amm: DaskClient,
user_id_product_merge: UserIdProductMerge,
user_collection,
):
assert len(user_id_product_merge.items) == 1
for item in user_id_product_merge.items:
assert isinstance(item, UserIdProductMergeItem)
path = item.path
try:
modified_time1 = path.stat().st_mtime
except OSError:
modified_time1 = 0
user_id_product_merge.build(client=client_no_amm, user_coll=user_collection)
modified_time2 = path.stat().st_mtime
assert modified_time2 > modified_time1
@pytest.mark.skip
def test_read(
self, client_no_amm: DaskClient, user_id_product_merge: UserIdProductMerge
):
users_ddf = user_id_product_merge.ddf()
df = client_no_amm.compute(collections=users_ddf, sync=True)
assert isinstance(df, pd.DataFrame)
assert len(df.columns) == 1
assert str(df.product_id.dtype) == "category"
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