Using Mapbox returned destinations as coordinates for isolines

This commit is contained in:
Antonio
2018-02-26 12:45:08 +01:00
parent e110ab4cc3
commit bc4c9fea33
2 changed files with 19 additions and 7 deletions

View File

@@ -4,6 +4,7 @@ Uses the Mapbox Time Matrix service.
'''
import json
from cartodb_services.tools import Coordinate
from cartodb_services.tools.spherical import (get_angles,
calculate_dest_location)
from cartodb_services.mapbox.matrix_client import (validate_profile,
@@ -11,7 +12,9 @@ from cartodb_services.mapbox.matrix_client import (validate_profile,
PROFILE_WALKING,
PROFILE_DRIVING,
PROFILE_CYCLING,
ENTRY_DURATIONS)
ENTRY_DURATIONS,
ENTRY_DESTINATIONS,
ENTRY_LOCATION)
MAX_SPEEDS = {
PROFILE_WALKING: 3.3333333, # In m/s, assuming 12km/h walking speed
@@ -53,6 +56,7 @@ class MapboxIsolines():
return []
costs = [None] * number_of_angles
destinations = [None] * number_of_angles
for idx, cost in enumerate(json_response[ENTRY_DURATIONS][0][1:]):
if cost:
@@ -60,7 +64,11 @@ class MapboxIsolines():
else:
costs[idx] = isorange
return costs
for idx, destination in enumerate(json_response[ENTRY_DESTINATIONS][1:]):
destinations[idx] = Coordinate(destination[ENTRY_LOCATION][0],
destination[ENTRY_LOCATION][1])
return costs, destinations
def calculate_isochrone(self, origin, time_ranges,
profile=DEFAULT_PROFILE):
@@ -122,10 +130,12 @@ class MapboxIsolines():
# NOTE: sometimes it cannot calculate the cost and returns None.
# Just assume isorange and stop the calculations there
costs = cost_method(origin=origin, targets=location_estimates,
isorange=isorange, profile=profile,
unit_factor=unit_factor,
number_of_angles=number_of_angles)
costs, destinations = cost_method(origin=origin,
targets=location_estimates,
isorange=isorange,
profile=profile,
unit_factor=unit_factor,
number_of_angles=number_of_angles)
if not costs:
continue
@@ -153,7 +163,7 @@ class MapboxIsolines():
location_estimates_filtered = []
for i, c in enumerate(costs):
if c != isorange:
location_estimates_filtered.append(location_estimates[i])
location_estimates_filtered.append(destinations[i])
return location_estimates_filtered

View File

@@ -30,6 +30,8 @@ VALID_PROFILES = [PROFILE_DRIVING_TRAFFIC,
PROFILE_WALKING]
ENTRY_DURATIONS = 'durations'
ENTRY_DESTINATIONS = 'destinations'
ENTRY_LOCATION = 'location'
def validate_profile(profile):