def get_rendered_page():
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template('index_template.html')
listings = get_listings()
add_colors(listings)
make_map(listings, 'map.png')
rendered = template.render(listings=listings, summary=get_summary(listings))
return rendered
def get_interesting_listings():
return [l for l in get_listings() if not (l['expired'] or l['ignored'])]
from motionless import DecoratedMap, LatLonMarker
from mapper import positions
def pairwise_distances(listings):
coords = positions(listings)
distances = pd.DataFrame(index=coords.keys(), columns=coords.keys())
for name_1, name_2 in product(coords.keys(), coords.keys()):
lat_1, lon_1 = coords[name_1]
lat_2, lon_2 = coords[name_2]
distances.loc[name_1, name_2] = walking_distance(lat_1, lon_1, lat_2, lon_2)
return distances
def shortest_path(listings):
distances = pairwise_distances(listings)
best = None
best_time = sp.inf
for p in permutations(distances.index):
time = sum(distances.at[s, t] for s, t in zip(p, p[1:]))
if time < best_time:
best = p
best_time = time
times_of_best = [distances.at[s, t] for s, t in zip(best, best[1:])]
return best, times_of_best, best_time
# %matplotlib inline
listings = get_listings()
# print(shortest_path(listings))
make_map(listings)
