def test_sample_2_exercise_temperature_index():
# This sample data does not have any thermal values that
# are outside the threshold... this test still serves
# a purpose though.
data = shared.read_data("test/resources/sample_2.csv")
index = temperature_index(data)
assert data[:, index].shape == (9, 724)
def find_unused_links():
cache, img_cache = read_data()
for key, values in cache.items():
for value in values:
img_key = key + ',' + value[0]
if img_key in img_cache:
del img_cache[img_key]
return img_cache
def generate_picture_table():
cache, img_cache = read_data()
res = u"<html><body><table border=\"1\"><tr><th>Date</th><th>Country</th><th>Day</th><th>Image</th></tr>"
for date, days in sorted(cache.items()):
for day, country in days:
src = img_cache.get(date + ',' + day, '')
res += "<tr><td>%s</td><td>%s</td><td>%s</td><td><img src=\"%s\"/ height=\"100\" width=\"100\"></td></tr>" % (
date, country, day, src)
res += "</table></body></html>"
with open(os.path.join(SCRIPTS, 'test.html'), 'wb') as f:
f.write(res.encode('utf-8'))
def generate(dry_run=True):
cache, img_cache = read_data()
new_img_cache = img_cache.copy()
for date in cache:
for day, country in cache[date]:
key = ",".join([date, day])
if key not in new_img_cache:
if dry_run:
print('need new image for %s' % key)
else:
print('getting new image for %s' % key)
result = get_food_image(date, day)
new_img_cache[key] = result
print(json.dumps(new_img_cache, indent=2))
def test_validate_no_preprocessing_sample_2_detection_results():
""" Sample 2 contains two changes and should test the full path through
the algorithm including preprocessing """
data = read_data("test/resources/sample_2.csv")
results = ccd.detect(data[0],
data[1],
data[2],
data[3],
data[4],
data[5],
data[6],
data[7],
data[8],
preprocess=False)
assert len(results) != 2, "expected: !{}, actual: {}".format(
2, len(results))
def test_validate_sample_2_algorithm_field():
"""Tests sample 2 again for two changes and verifies the algorithm field"""
data = read_data("test/resources/sample_2.csv")
results = ccd.detect(data[0],
data[1],
data[2],
data[3],
data[4],
data[5],
data[6],
data[7],
data[8],
preprocess=True)
from ccd import __algorithm__
reported = results[0]['algorithm']
actual = __algorithm__
msg = "reported algorithm {0} did not match actual {1}".format(
reported, actual)
assert reported == actual, msg
def test_basic_loading_sample():
data = shared.read_data("test/resources/sample_1.csv")
print(data.shape)
assert data.shape == (
9, 69), "Sample data an unexpected shape, other tests may fail."
def test_sample_2_ratio_clear():
data = shared.read_data("test/resources/sample_2.csv")
qa = data[8, :]
ratio = ratio_clear(qa)
assert ratio == pytest.approx(0.662, rel=1e-2)
def test_sample_2_ratio_snow():
data = shared.read_data("test/resources/sample_2.csv")
qa = data[8, :]
ratio = ratio_snow(qa)
# print(ratio)
assert ratio == pytest.approx(0.308, rel=1e-2)
def test_sample_2_count_total():
data = shared.read_data("test/resources/sample_2.csv")
qa = data[8, :]
assert count_total(qa) == 724, count_total(qa)
def test_sample_2_count_clear_or_water():
data = shared.read_data("test/resources/sample_2.csv")
qa = data[8, :]
assert count_clear_or_water(qa) == 480, count_clear_or_water(qa)
def test_ratio_snow():
data = shared.read_data("test/resources/sample_1.csv")
qa = data[8, :]
ratio = ratio_snow(qa)
assert ratio == pytest.approx(0.61, rel=1e-2)
def test_count_snow():
data = shared.read_data("test/resources/sample_1.csv")
qa = data[8, :]
assert count_snow(qa) == 38
def test_sample_2_preprocessing():
data = shared.read_data("test/resources/sample_2.csv")
meow = preprocess(data)
assert meow.shape == (9, 477), meow.shape
def without_unused_links():
unused_links = find_unused_links()
cache, img_cache = read_data()
for key in unused_links:
del img_cache[key]
return img_cache
