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import gzip
from datetime import timedelta
from pathlib import Path
import pytest
import gpxpy
from markupsafe import Markup
from fietsboek import util
@pytest.mark.parametrize('md_source, expected', [
("**foobar**", Markup("<p><strong>foobar</strong></p>")),
("*foobar*", Markup("<p><em>foobar</em></p>")),
("# foobar", Markup("<h1>foobar</h1>")),
("<script>alert('evil')</script>",
Markup("<script>alert('evil')</script>")),
])
def test_safe_markdown(md_source, expected):
assert util.safe_markdown(md_source) == expected
@pytest.mark.parametrize('timestamp, fixed', [
("2022-03-14T13:37:42", "2022-03-14T13:37:42"),
("2022-03-14T13:37:42Z", "2022-03-14T13:37:42+00:00"),
("2022-03-14T13:37:42+02:00", "2022-03-14T13:37:42+02:00"),
])
def test_fix_iso_timestamp(timestamp, fixed):
assert util.fix_iso_timestamp(timestamp) == fixed
@pytest.mark.parametrize('delta, multiple, expected', [
(
timedelta(minutes=42),
timedelta(minutes=15),
timedelta(minutes=45),
),
(
timedelta(minutes=33),
timedelta(minutes=15),
timedelta(minutes=30),
),
(
timedelta(minutes=-12),
timedelta(minutes=15),
timedelta(minutes=-15),
),
(
timedelta(minutes=-31),
timedelta(minutes=15),
timedelta(minutes=-30),
),
])
def test_round_timedelta_to_multiple(delta, multiple, expected):
assert util.round_timedelta_to_multiple(delta, multiple) == expected
@pytest.mark.parametrize('gpx_file, offset', [
("Teasi_1.gpx.gz", timedelta(hours=2)),
("MyTourbook_1.gpx.gz", timedelta(hours=2)),
])
def test_guess_gpx_timezone(gpx_file, offset):
asset_dir = Path(__file__).parent.parent / 'assets'
test_file = asset_dir / gpx_file
with gzip.open(test_file, 'rb') as fobj:
parsed_gpx = gpxpy.parse(fobj)
timezone = util.guess_gpx_timezone(parsed_gpx)
# Here we hope (and assume) that utcoffset is ignored. This is true for
# datetime.timezone objects, but may not be for other datetime.tzinfo
# instances.
assert timezone.utcoffset(None) == offset
@pytest.mark.parametrize('mps, kph', [(1, 3.6), (10, 36)])
def test_mps_to_kph(mps, kph):
assert util.mps_to_kph(mps) == pytest.approx(kph, 0.1)
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