def test_louvain_takes_reduction_parameters():
"""
Louvain().run() takes reduction parameters.
"""
test_graph = ContactBalance("2016-01-01", "2016-01-07")
l = Louvain(test_graph.to_networkx(directed_graph=False))
result = l.run(
resolution=0.7, min_members=10, weight_property="events"
).get_dataframe()
set_df = result.set_index("subscriber")
assert (
set_df.loc["nMvpK39bowVXYN9G"]["community"]
!= set_df.loc["qPAbaED3vDYkjZ0n"]["community"]
)
assert (
set_df.loc["qRlQo7ly3Zg9GVN2"]["community"]
!= set_df.loc["YeqxBmVgL1EnONv8"]["community"]
)
assert (
set_df.loc["E0LZAa7AyNd34Djq"]["community"]
== set_df.loc["8dpPLR15XwR7jQyN"]["community"]
)
assert (
set_df.loc["APj9roe8jKOwEDZl"]["community"]
== set_df.loc["4dqenN2oQZExwEK2"]["community"]
)
def test_returns_correct_results():
"""
Louvain().run() doesn't put everybody in the same community.
"""
test_graph = ContactBalance("2016-01-01", "2016-01-07")
l = Louvain(test_graph.to_networkx(directed_graph=False))
set_df = l.run().get_dataframe().set_index("subscriber")
assert len(set(set_df.community)) != 1
def test_contact_reference_location_stats_false_statistic_raises():
""" Test ValueError is raised for non-compliant statistics parameter. """
cb = ContactBalance("2016-01-01", "2016-01-03")
ml = ModalLocation(*[
daily_location(
d,
spatial_unit=make_spatial_unit("versioned-cell"),
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
with pytest.raises(ValueError):
query = ContactReferenceLocationStats(cb, ml, statistic="error")
def test_contact_reference_location_false_level_raises():
""" Test ValueError is raised for contact_location with non-compliant level. """
cb = ContactBalance("2016-01-01", "2016-01-03")
ml = ModalLocation(*[
daily_location(
d,
level="admin3",
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
with pytest.raises(ValueError):
query = ContactReferenceLocationStats(cb, ml)
def test_contact_reference_location_no_spatial_unit_raises():
""" Test ValueError is raised for contact_location without spatial_unit attribute. """
cb = ContactBalance("2016-01-01", "2016-01-03")
# by encapsulating ModalLocations in a CustomQuery we remove the spatial_unit
# attribute from it which should raise an error
ml = ModalLocation(*[
daily_location(
d,
spatial_unit=make_spatial_unit("versioned-cell"),
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
ml = CustomQuery(ml.get_query(), ml.column_names)
with pytest.raises(ValueError):
query = ContactReferenceLocationStats(cb, ml)
def test_contact_reference_location_bad_spatial_unit_raises():
"""
Test InvalidSpatialUnitError is raised for contact_location with
non-compliant spatial unit.
"""
cb = ContactBalance("2016-01-01", "2016-01-03")
ml = ModalLocation(*[
daily_location(
d,
spatial_unit=make_spatial_unit("admin", level=3),
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
with pytest.raises(InvalidSpatialUnitError):
query = ContactReferenceLocationStats(cb, ml)
def test_contact_reference_location_stats(get_dataframe, statistic, msisdn,
spatial_unit_type, want):
""" Test a few hand-picked ContactReferenceLocationStats. """
cb = ContactBalance("2016-01-01", "2016-01-03")
ml = ModalLocation(*[
daily_location(
d,
spatial_unit=make_spatial_unit(spatial_unit_type),
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
cb.store()
ml.store()
query = ContactReferenceLocationStats(cb, ml, statistic=statistic)
df = get_dataframe(query).set_index("subscriber")
assert df.value[msisdn] == pytest.approx(want)
def test_per_contact_event_stats_errors(kwarg):
""" Test ValueError is raised for non-compliant kwarg in PerContactEventStats. """
with pytest.raises(ValueError):
query = PerContactEventStats(
ContactBalance("2016-01-02", "2016-01-06"), **{kwarg: "error"}
)
def test_pareto_nepal(get_dataframe):
"""Test flowmachine's method against the nepal code."""
cb = ContactBalance("2016-01-01", "2016-01-07", exclude_self_calls=False)
p = ParetoInteractions("2016-01-01", "2016-01-07")
df = get_dataframe(p)
df2 = paretos(get_dataframe(cb))
assert all(
df.set_index("subscriber").sort_index() == df2.set_index(
"subscriber").sort_index())
def test_contact_reference_location_stats_custom_geometry(get_dataframe):
""" Test ContactReferenceLocationStats with custom geometry column. """
cb = ContactBalance("2016-01-01", "2016-01-03")
ml = ModalLocation(*[
daily_location(
d,
spatial_unit=make_spatial_unit("versioned-cell"),
subscriber_subset=cb.counterparts_subset(include_subscribers=True),
) for d in list_of_dates("2016-01-01", "2016-01-03")
])
cb.store()
ml.store()
ml = CustomQuery(
f"SELECT subscriber, ST_POINT(lon, lat) AS loc FROM ({ml.get_query()}) _",
["subscriber", "loc"],
)
query = ContactReferenceLocationStats(cb,
ml,
statistic="avg",
geom_column="loc")
df = get_dataframe(query).set_index("subscriber")
assert df.value["gwAynWXp4eWvxGP7"] == pytest.approx(298.7215)
def test_contact_reference_location_no_subscriber_raises():
""" Test ValueError is raised for contact_location without subscriber. """
cb = ContactBalance("2016-01-01", "2016-01-03")
cl = CustomQuery("SELECT 1 AS foo", ["foo"])
with pytest.raises(ValueError):
query = ContactReferenceLocationStats(cb, cl)
def test_per_contact_event_stats(get_dataframe, statistic, msisdn, want):
""" Test hand-picked PerContactEventStats. """
query = PerContactEventStats(ContactBalance("2016-01-02", "2016-01-06"), statistic)
df = get_dataframe(query).set_index("subscriber")
assert df.value[msisdn] == pytest.approx(want)
