/
test_visualization.py
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/
test_visualization.py
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import tarfile
from pathlib import Path
from shutil import copyfile
import folium
import geopandas as gpd
import pandas as pd
import pytest
from folium import Map
from mock import patch
from shapely import wkt
from up42.viztools import VizTools, folium_base_map
def test_folium_base_map():
m = folium_base_map()
assert isinstance(m, folium.Map)
assert m.crs == "EPSG3857"
@patch("matplotlib.pyplot.show")
def test_plot_result_job(capture_canvas, job_mock):
fp_tif = Path(__file__).resolve().parent / "mock_data/s2_128.jpg"
job_mock.results = [fp_tif]
job_mock.plot_results(plot_file_format=[".jpg"])
@patch("matplotlib.pyplot.show")
def test_plot_result_alternative_filepaths_and_titles(capture_canvas):
fp_tif = Path(__file__).resolve().parent / "mock_data/s2_128.jpg"
VizTools().plot_results(
filepaths=[fp_tif, fp_tif, fp_tif],
titles=["a", "b", "c"],
plot_file_format=[".jpg"],
)
def test_plot_result_not_accepted_file_format_raises():
filepaths = [Path("abc/123.hdf", "abc/123.json")]
with pytest.raises(ValueError):
VizTools().plot_results(filepaths=filepaths)
@patch("matplotlib.pyplot.show")
def test_plot_quicklooks(capture_canvas, job_mock):
fp_quicklooks = Path(__file__).resolve().parent / "mock_data/a_quicklook.png"
job_mock.quicklooks = [fp_quicklooks]
job_mock.plot_quicklooks()
@patch("matplotlib.pyplot.show")
def test_plot_quicklooks_alternative_filepaths(capture_canvas):
fp_quicklook = Path(__file__).resolve().parent / "mock_data/a_quicklook.png"
VizTools().plot_quicklooks(filepaths=[fp_quicklook, fp_quicklook, fp_quicklook])
@patch("matplotlib.pyplot.show")
def test_plot_coverage(capture_canvas):
df = gpd.read_file(
Path(__file__).resolve().parent / "mock_data/search_results_limited_columns.geojson",
as_dataframe=True,
)
VizTools().plot_coverage(df)
@patch("matplotlib.pyplot.show")
def test_plot_coverage_wrong_legend_column_ignores(capture_canvas):
df = gpd.read_file(
Path(__file__).resolve().parent / "mock_data/search_results_limited_columns.geojson",
as_dataframe=True,
)
VizTools().plot_coverage(df, legend_column="abcdefgh")
def test_map_images_2_scenes():
plot_file_format = [".jpg"]
result_csv = Path(__file__).resolve().parent / "mock_data/df_2scenes.csv"
result_df = pd.read_csv(result_csv)
result_df["geometry"] = result_df["geometry"].apply(wkt.loads)
gdf = gpd.GeoDataFrame(result_df, geometry="geometry")
quicklook_1 = (
Path(__file__).resolve().parent / "mock_data/quicklooks/quicklook_16e18e15-c941-4aae-97cd-d67b18dc9f6e.jpg"
)
quicklook_2 = (
Path(__file__).resolve().parent / "mock_data/quicklooks/quicklook_f8c03432-cec1-41b7-a203-4d871a03290f.jpg"
)
filepaths = [quicklook_1, quicklook_2]
m = VizTools()._map_images(plot_file_format, gdf, filepaths)
m._repr_html_()
# Render does not return an object but an html document (as expected)
out = m._parent.render() # pylint: disable=assignment-from-no-return
assert "Image 1 - f8c03432-cec1-41b7-a203-4d871a03290f" in out
assert "Image 2 - 16e18e15-c941-4aae-97cd-d67b18dc9f6e" in out
def test_map_images_2_scenes_no_column_name():
plot_file_format = [".jpg"]
result_csv = Path(__file__).resolve().parent / "mock_data/df_2scenes.csv"
result_df = pd.read_csv(result_csv)
result_df["geometry"] = result_df["geometry"].apply(wkt.loads)
gdf = gpd.GeoDataFrame(result_df, geometry="geometry")
quicklook_1 = (
Path(__file__).resolve().parent / "mock_data/quicklooks/quicklook_16e18e15-c941-4aae-97cd-d67b18dc9f6e.jpg"
)
quicklook_2 = (
Path(__file__).resolve().parent / "mock_data/quicklooks/quicklook_f8c03432-cec1-41b7-a203-4d871a03290f.jpg"
)
filepaths = [quicklook_1, quicklook_2]
m = VizTools()._map_images(plot_file_format, gdf, filepaths, name_column="nikoo")
m._repr_html_()
out = m._parent.render() # pylint: disable=assignment-from-no-return
assert "Image 1 - " in out
assert "Image 2 - " in out
def test_map_images_1_scene():
plot_file_format = [".jpg"]
result_csv = Path(__file__).resolve().parent / "mock_data/df_1scene.csv"
result_df = pd.read_csv(result_csv)
result_df["geometry"] = result_df["geometry"].apply(wkt.loads)
gdf = gpd.GeoDataFrame(result_df, geometry="geometry")
quicklook = (
Path(__file__).resolve().parent / "mock_data/quicklooks/quicklook_16e18e15-c941-4aae-97cd-d67b18dc9f6e.jpg"
)
filepaths = [quicklook]
m = VizTools()._map_images(plot_file_format, gdf, filepaths)
m._repr_html_()
out = m._parent.render() # pylint: disable=assignment-from-no-return
assert "Image 1 - 2a581680-17e4-4a61-8aa9-9e47e1bf36bb" in out
def test_map_results(job_mock):
fp_tgz = Path(__file__).resolve().parent / "mock_data/result_tif.tgz"
with tarfile.open(fp_tgz) as tar:
tar.extractall(fp_tgz.parent)
fp_tif = fp_tgz.parent / "output/7e17f023-a8e3-43bd-aaac-5bbef749c7f4/7e17f023-a8e3-43bd-aaac-5bbef749c7f4_0-0.tif"
fp_data_json = fp_tgz.parent / "output/data.json"
job_mock.results = [str(fp_tif), str(fp_data_json)]
map_object = job_mock.map_results()
assert isinstance(map_object, Map)
def test_map_results_jobcollection(job_mock):
fp_tgz = Path(__file__).resolve().parent / "mock_data/result_tif.tgz"
fp_merged = Path(__file__).resolve().parent / "mock_data/job_collection_merged_result.json"
with tarfile.open(fp_tgz) as tar:
tar.extractall(fp_tgz.parent)
fp_tif = fp_tgz.parent / "output/7e17f023-a8e3-43bd-aaac-5bbef749c7f4/7e17f023-a8e3-43bd-aaac-5bbef749c7f4_0-0.tif"
my_dict = {
"job_id_123": [str(fp_tif), f"{str(fp_tgz.parent)}/output/data.json"],
"jobid_456": [str(fp_tif), f"{str(fp_tgz.parent)}/output/data.json"],
"merged_result": [fp_merged],
}
job_mock.results = my_dict
map_object = job_mock.map_results()
assert isinstance(map_object, Map)
def test_map_results_additional_geojson(job_mock):
fp_tgz = Path(__file__).resolve().parent / "mock_data/result_tif.tgz"
with tarfile.open(fp_tgz) as tar:
tar.extractall(fp_tgz.parent)
fp_tif = fp_tgz.parent / "output/7e17f023-a8e3-43bd-aaac-5bbef749c7f4/7e17f023-a8e3-43bd-aaac-5bbef749c7f4_0-0.tif"
fp_data_json = fp_tgz.parent / "output/data.json"
fp_data_geojson = fp_tgz.parent / "output/additional_vector_file.geojson"
copyfile(fp_data_json, fp_data_geojson)
job_mock.results = [str(fp_tif), str(fp_data_json), str(fp_data_geojson)]
map_object = job_mock.map_results()
assert isinstance(map_object, Map)