def test_paths_error3(self):
xs = [
{
'city_from': 'A',
'city_to': 'B',
'time1': 1
},
]
cities = [
{
'name': 'A',
'x': 0,
'y': 0,
'quantity': 10
},
{
'name': 'B',
'x': 1,
'y': 0,
'quantity': 10
},
]
cities = pd.DataFrame(cities, columns=['name', 'x', 'y', 'quantity'])
df = pd.DataFrame(xs, columns=['city_from', 'city_to', 'time1'])
result: Result = validate_paths(df, cities)
assert not result.status
assert 'wrong columns' in result.msg.lower()
def upload_coordinates(content, name):
if content is not None:
if '.csv' not in name:
return html.Div(['Only .csv files ar supported!']),
df = parse_contents(content)
result = fh.validate_paths(df)
if not result.status:
return html.P(result.msg),
return comp.upload_table(name, df),
return None,
def upload_paths(content, cities, name):
if content:
if '.csv' not in name:
return html.Div(comp.error('Only .csv files ar supported!')),
df = parse_contents(content)
cities = parse_contents(cities)
result = fh.validate_paths(df, cities)
if not result.status:
return comp.error(result.msg)
return comp.upload_table(name, df)
return [None]
def test_paths_ok_city_numbers(self):
xs = [
{
'city_from': 1,
'city_to': 2,
'travel_time': 1
},
{
'city_from': 2,
'city_to': 3,
'travel_time': 1
},
]
cities = [
{
'name': 1,
'x': 0,
'y': 0,
'quantity': 10
},
{
'name': 2,
'x': 1,
'y': 0,
'quantity': 10
},
{
'name': 3,
'x': 2,
'y': 0,
'quantity': 10
},
]
cities = pd.DataFrame(cities, columns=['name', 'x', 'y', 'quantity'])
df = pd.DataFrame(xs, columns=['city_from', 'city_to', 'travel_time'])
result: Result = validate_paths(df, cities)
assert result.status
assert result.msg.lower() == 'success'
def test_paths_error4(self):
xs = [
{
'city_from': 'A',
'city_to': 'B',
'travel_time': 1
},
{
'city_from': 'A',
'city_to': 'C',
'travel_time': 1
},
{
'city_from': 'A',
'city_to': 'D',
'travel_time': 1
},
{
'city_from': 'A',
'city_to': 'E',
'travel_time': 1
},
{
'city_from': 'A',
'city_to': 'F',
'travel_time': 1
},
]
cities = [
{
'name': 'A',
'x': 0,
'y': 0,
'quantity': 10
},
{
'name': 'B',
'x': 1,
'y': 0,
'quantity': 10
},
{
'name': 'C',
'x': 2,
'y': 0,
'quantity': 10
},
{
'name': 'D',
'x': 3,
'y': 0,
'quantity': 10
},
{
'name': 'E',
'x': 4,
'y': 0,
'quantity': 10
},
{
'name': 'F',
'x': 5,
'y': 0,
'quantity': 10
},
]
cities = pd.DataFrame(cities, columns=['name', 'x', 'y', 'quantity'])
df = pd.DataFrame(xs, columns=['city_from', 'city_to', 'travel_time'])
result: Result = validate_paths(df, cities)
assert not result.status
assert 'more than 4' in result.msg.lower()
