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from __future__ import annotations
from collections.abc import Callable
from datetime import UTC, datetime, timedelta
from itertools import product
from typing import TYPE_CHECKING
import pandas as pd
import pytest
from dask.distributed import Client as DaskClient
if TYPE_CHECKING:
from generalresearch.incite.collections.thl_web import (
SessionDFCollection,
WallDFCollection,
)
from generalresearch.incite.mergers.foundations.enriched_session import (
EnrichedSessionMerge,
)
from generalresearch.incite.mergers.ym_survey_wall import YMSurveyWallMerge
from generalresearch.models.thl.product import Product
from generalresearch.models.thl.user import User
from generalresearch.pg_helper import PostgresConfig
# noinspection PyUnresolvedReferences
@pytest.mark.parametrize(
argnames="offset, duration, start",
argvalues=list(
product(
["12h", "3D"],
[timedelta(days=30)],
[(datetime.now(tz=UTC) - timedelta(days=35)).replace(microsecond=0)],
)
),
)
class TestYMSurveyMerge:
"""We override start, not because it's needed on the YMSurveyWall merge,
which operates on a rolling 10-day window, but because we don't want
to mock data in the wall collection and enriched_session_merge from
the 1800s and then wonder why there is no data available in the past
10 days in the database.
"""
def test_base(
self,
client_no_amm: DaskClient,
user_factory: Callable[..., User],
product: Product,
ym_survey_wall_merge: YMSurveyWallMerge,
wall_collection: WallDFCollection,
session_collection: SessionDFCollection,
enriched_session_merge: EnrichedSessionMerge,
delete_df_collection: Callable[..., None],
incite_item_factory: Callable[..., None],
thl_web_rr: PostgresConfig,
):
delete_df_collection(coll=session_collection)
user: User = user_factory(product=product, created=session_collection.start)
# -- Build & Setup
assert ym_survey_wall_merge.start is None
assert ym_survey_wall_merge.offset == "10D"
for item in session_collection.items:
incite_item_factory(item=item, user=user)
item.initial_load()
for item in wall_collection.items:
item.initial_load()
# Confirm any of the items are archived
assert session_collection.progress.has_archive.eq(True).all()
assert wall_collection.progress.has_archive.eq(True).all()
enriched_session_merge.build(
client=client_no_amm,
session_coll=session_collection,
wall_coll=wall_collection,
pg_config=thl_web_rr,
)
assert enriched_session_merge.progress.has_archive.eq(True).all()
ddf = enriched_session_merge.ddf()
df1: pd.DataFrame | None = client_no_amm.compute(collections=ddf, sync=True)
assert isinstance(df1, pd.DataFrame)
assert not df1.empty
# --
ym_survey_wall_merge.build(
client=client_no_amm,
wall_coll=wall_collection,
enriched_session=enriched_session_merge,
)
assert ym_survey_wall_merge.progress.has_archive.eq(True).all()
# --
ddf = ym_survey_wall_merge.ddf()
df2: pd.DataFrame | None = client_no_amm.compute(collections=ddf, sync=True)
assert isinstance(df2, pd.DataFrame)
assert not df2.empty
# --
assert df2.product_id.nunique() == 1
assert df2.team_id.nunique() == 1
assert df2.source.nunique() > 1
started_min_ts = df2.started.min()
started_max_ts = df2.started.max()
assert type(started_min_ts) is pd.Timestamp
assert type(started_max_ts) is pd.Timestamp
started_min: datetime = datetime.fromisoformat(str(started_min_ts))
started_max: datetime = datetime.fromisoformat(str(started_max_ts))
started_delta = started_max - started_min
assert started_delta >= timedelta(days=3)
|
