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test_config.py
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test_config.py
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# Copyright 2019-2020 The Lux Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .context import lux
import pytest
import pandas as pd
import time
from lux.vis.VisList import VisList
import lux
def register_new_action(validator: bool = True):
df = pd.read_csv("lux/data/car.csv")
def random_categorical(ldf):
intent = [lux.Clause("?", data_type="nominal")]
vlist = VisList(intent, ldf)
for vis in vlist:
vis.score = 10
vlist.sort()
vlist = vlist.showK()
return {
"action": "bars",
"description": "Random list of Bar charts",
"collection": vlist,
}
def contain_horsepower(df):
for clause in df.intent:
if clause.get_attr() == "Horsepower":
return True
return False
if validator:
lux.config.register_action("bars", random_categorical, contain_horsepower)
else:
lux.config.register_action("bars", random_categorical)
return df
def test_default_actions_registered(global_var):
lux.config.set_executor_type("Pandas")
df = pytest.car_df
df._ipython_display_()
assert "Distribution" in df.recommendation
assert len(df.recommendation["Distribution"]) > 0
assert "Occurrence" in df.recommendation
assert len(df.recommendation["Occurrence"]) > 0
assert "Temporal" in df.recommendation
assert len(df.recommendation["Temporal"]) > 0
assert "Correlation" in df.recommendation
assert len(df.recommendation["Correlation"]) > 0
def test_fail_validator():
df = register_new_action()
df._ipython_display_()
assert (
"bars" not in df.recommendation,
"Bars should not be rendered when there is no intent 'horsepower' specified.",
)
def test_pass_validator():
df = register_new_action()
df.set_intent(["Acceleration", "Horsepower"])
df._ipython_display_()
assert len(df.recommendation["bars"]) > 0
assert (
"bars" in df.recommendation,
"Bars should be rendered when intent 'horsepower' is specified.",
)
def test_no_validator():
df = register_new_action(False)
df._ipython_display_()
assert len(df.recommendation["bars"]) > 0
assert "bars" in df.recommendation
def test_invalid_function(global_var):
df = pd.read_csv("lux/data/car.csv")
with pytest.raises(ValueError, match="Action must be a callable"):
lux.config.register_action("bars", "not a Callable")
def test_invalid_validator(global_var):
df = pd.read_csv("lux/data/car.csv")
def random_categorical(ldf):
intent = [lux.Clause("?", data_type="nominal")]
vlist = VisList(intent, ldf)
for vis in vlist:
vis.score = 10
vlist.sort()
vlist = vlist.showK()
return {
"action": "bars",
"description": "Random list of Bar charts",
"collection": vlist,
}
with pytest.raises(ValueError, match="Display condition must be a callable"):
lux.config.register_action("bars", random_categorical, "not a Callable")
def test_remove_action():
df = register_new_action()
df.set_intent(["Acceleration", "Horsepower"])
df._ipython_display_()
assert (
"bars" in df.recommendation,
"Bars should be rendered after it has been registered with correct intent.",
)
assert (
len(df.recommendation["bars"]) > 0,
"Bars should be rendered after it has been registered with correct intent.",
)
lux.config.remove_action("bars")
df._ipython_display_()
assert (
"bars" not in df.recommendation,
"Bars should not be rendered after it has been removed.",
)
df.clear_intent()
def test_remove_invalid_action(global_var):
df = pd.read_csv("lux/data/car.csv")
with pytest.raises(ValueError, match="Option 'bars' has not been registered"):
lux.config.remove_action("bars")
# TODO: This test does not pass in pytest but is working in Jupyter notebook.
def test_remove_default_actions(global_var):
df = pytest.car_df
df._ipython_display_()
lux.config.remove_action("distribution")
df._ipython_display_()
assert "Distribution" not in df.recommendation
lux.config.remove_action("occurrence")
df._ipython_display_()
assert "Occurrence" not in df.recommendation
lux.config.remove_action("temporal")
df._ipython_display_()
assert "Temporal" not in df.recommendation
lux.config.remove_action("correlation")
df._ipython_display_()
assert "Correlation" not in df.recommendation
assert (
len(df.recommendation) == 0,
"Default actions should not be rendered after it has been removed.",
)
df = register_new_action()
df.set_intent(["Acceleration", "Horsepower"])
df._ipython_display_()
assert (
"bars" in df.recommendation,
"Bars should be rendered after it has been registered with correct intent.",
)
assert len(df.recommendation["bars"]) > 0
df.clear_intent()
from lux.action.default import register_default_actions
register_default_actions()
def test_matplotlib_set_default_plotting_style():
lux.config.plotting_backend = "matplotlib"
def add_title(fig, ax):
ax.set_title("Test Title")
return fig, ax
df = pd.read_csv("lux/data/car.csv")
lux.config.plotting_style = add_title
df._ipython_display_()
title_addition = 'ax.set_title("Test Title")'
exported_code_str = df.recommendation["Correlation"][0].to_altair()
assert title_addition in exported_code_str
def test_set_default_plotting_style():
lux.config.plotting_backend = "vegalite"
def change_color_make_transparent_add_title(chart):
chart = chart.configure_mark(color="green", opacity=0.2)
chart.title = "Test Title"
return chart
df = pd.read_csv("lux/data/car.csv")
lux.config.plotting_style = change_color_make_transparent_add_title
df._ipython_display_()
config_mark_addition = 'chart = chart.configure_mark(color="green", opacity=0.2)'
title_addition = 'chart.title = "Test Title"'
exported_code_str = df.recommendation["Correlation"][0].to_altair()
assert config_mark_addition in exported_code_str
assert title_addition in exported_code_str
def test_sampling_flag_config():
lux.config.heatmap = False
lux.config.sampling = True
lux.config.early_pruning = False
import numpy as np
N = int(1.1 * lux.config.sampling_cap)
df = pd.DataFrame({"col1": np.random.rand(N), "col2": np.random.rand(N)})
df.maintain_recs()
assert len(df.recommendation["Correlation"][0].data) == lux.config.sampling_cap
lux.config.sampling = True
lux.config.heatmap = True
lux.config.early_pruning = True
def test_sampling_parameters_config():
df = pd.read_csv("lux/data/car.csv")
df._ipython_display_()
assert df.recommendation["Correlation"][0].data.shape[0] == 392
lux.config.sampling_start = 50
lux.config.sampling_cap = 100
df = pd.read_csv("lux/data/car.csv")
df._ipython_display_()
assert df.recommendation["Correlation"][0].data.shape[0] == 100
lux.config.sampling_cap = 30000
lux.config.sampling_start = 10000
def test_heatmap_flag_config():
lux.config.heatmap = True
df = pd.read_csv("https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/airbnb_nyc.csv")
df._ipython_display_()
assert df.recommendation["Correlation"][0]._postbin
lux.config.heatmap = False
df = pd.read_csv("https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/airbnb_nyc.csv")
df._ipython_display_()
assert not df.recommendation["Correlation"][0]._postbin
lux.config.heatmap = True
def test_topk(global_var):
df = pd.read_csv("lux/data/college.csv")
lux.config.topk = False
df._ipython_display_()
assert len(df.recommendation["Correlation"]) == 45, "Turn off top K"
lux.config.topk = 20
df = pd.read_csv("lux/data/college.csv")
df._ipython_display_()
assert len(df.recommendation["Correlation"]) == 20, "Show top 20"
for vis in df.recommendation["Correlation"]:
assert vis.score > 0.2
def test_sort(global_var):
df = pd.read_csv("lux/data/college.csv")
lux.config.topk = 15
df._ipython_display_()
assert len(df.recommendation["Correlation"]) == 15, "Show top 15"
for vis in df.recommendation["Correlation"]:
assert vis.score > 0.5
df = pd.read_csv("lux/data/college.csv")
lux.config.sort = "ascending"
df._ipython_display_()
assert len(df.recommendation["Correlation"]) == 15, "Show bottom 15"
for vis in df.recommendation["Correlation"]:
assert vis.score < 0.35
lux.config.sort = "none"
df = pd.read_csv("lux/data/college.csv")
df._ipython_display_()
scorelst = [x.score for x in df.recommendation["Distribution"]]
assert sorted(scorelst) != scorelst, "unsorted setting"
lux.config.sort = "descending"
# TODO: This test does not pass in pytest but is working in Jupyter notebook.
# def test_plot_setting(global_var):
# df = pytest.car_df
# df["Year"] = pd.to_datetime(df["Year"], format='%Y')
# def change_color_add_title(chart):
# chart = chart.configure_mark(color="green") # change mark color to green
# chart.title = "Custom Title" # add title to chart
# return chart
# df.plot_config = change_color_add_title
# df._ipython_display_()
# vis_code = df.recommendation["Correlation"][0].to_altair()
# print (vis_code)
# assert 'chart = chart.configure_mark(color="green")' in vis_code, "Exported chart does not have additional plot style setting."