def addPollutionLeveltoRoutes(routes, hour_offset):
for route in routes:
route['pollution'] = 0
length = len(route['coords'])
# Pollution due to weather data + traffic data
for i in [
0, length / 2, length - 1
]: # First, middle, and last point (for these points traffic data is calculated twice
# but this fine since the user might be standing there for a bit of time)
route['pollution'] += pollution.get_pollution_value(
route['coords'][i][0], route['coords'][i][1], hour_offset)
# Pollution due to traffic data, sample size = min(MAX_SIMPE_SIZE, length/SAMPLE_POINT_STEP)
for i in xrange(
0, length, SAMPLE_POINT_STEP if length <
(SAMPLE_POINT_STEP * MAX_SAMPLE_SIZE) else length /
MAX_SAMPLE_SIZE):
route['pollution'] += traffic.get_traffic_data(
route['coords'][i][0], route['coords'][i][1])
def addPollutionLeveltoRoutes(routes, hour_offset):
for route in routes:
route["pollution"] = 0
length = len(route["coords"])
# Pollution due to weather data + traffic data
for i in [
0,
length / 2,
length - 1,
]: # First, middle, and last point (for these points traffic data is calculated twice
# but this fine since the user might be standing there for a bit of time)
route["pollution"] += pollution.get_pollution_value(
route["coords"][i][0], route["coords"][i][1], hour_offset
)
# Pollution due to traffic data, sample size = min(MAX_SIMPE_SIZE, length/SAMPLE_POINT_STEP)
for i in xrange(
0, length, SAMPLE_POINT_STEP if length < (SAMPLE_POINT_STEP * MAX_SAMPLE_SIZE) else length / MAX_SAMPLE_SIZE
):
route["pollution"] += traffic.get_traffic_data(route["coords"][i][0], route["coords"][i][1])
def main():
london_x1 = 51.700559
london_y1 = -0.497709
london_x2 = 51.308527
london_y2 = 0.246893
big_tile = tiles.Tile(london_x1, london_y1, london_x2, london_y2)
smaller_tiles = tiles.fragment_tile(big_tile, tiles.m_to_lat(200),
tiles.m_to_lon(200 / 3, london_x1))
filename = 'fusion.csv'
done_tiles = {}
for i in xrange(len(smaller_tiles)):
done_tiles[i] = -1.0
for i in xrange(len(smaller_tiles)):
tile = smaller_tiles[i]
key = tile.key
if done_tiles[key] >= 0:
continue
pollution_value = pollution.get_pollution_value(
tile.start_x, tile.start_y, 0)
done_tiles[key] = pollution_value
neighbour_keys = [
key + 1, key - 1, (key + 169), (key - 169), (key + 170),
(key + 168), (key - 170), (key - 168)
]
weights = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for j in xrange(len(neighbour_keys)):
index = neighbour_keys[j]
if 0 < index < len(smaller_tiles):
if done_tiles[index] >= 0:
done_tiles[index] = (done_tiles[index] +
(weights[j] * pollution_value)) / 2.0
else:
done_tiles[index] = weights[j] * pollution_value
print "Progress: " + str(i) + "/" + str(len(smaller_tiles))
with open(filename, 'w') as f:
for tile in smaller_tiles:
line = "\"" + tile.kml() + "\"" + ", " + str(
done_tiles[tile.key]) + ", " + str(tile.key) + "\n"
f.write(line)
success = False
tries = 0
while (success is False) and tries < 3:
tries += 1
try:
print "Try no:" + str(tries) + " to update table"
update_table(filename)
success = True
except Exception:
print "Failed to update table"
if success:
print "Last fusion update: " + str(datetime.datetime.now())
def main():
london_x1 = 51.700559
london_y1 = -0.497709
london_x2 = 51.308527
london_y2 = 0.246893
big_tile = tiles.Tile(london_x1, london_y1, london_x2, london_y2)
smaller_tiles = tiles.fragment_tile(big_tile, tiles.m_to_lat(200), tiles.m_to_lon(200 / 3, london_x1))
filename = 'fusion.csv'
done_tiles = {}
for i in xrange(len(smaller_tiles)):
done_tiles[i] = -1.0
for i in xrange(len(smaller_tiles)):
tile = smaller_tiles[i]
key = tile.key
if done_tiles[key] >= 0:
continue
pollution_value = pollution.get_pollution_value(tile.start_x, tile.start_y, 0)
done_tiles[key] = pollution_value
neighbour_keys = [key + 1, key - 1, (key + 169), (key - 169), (key + 170), (key + 168), (key - 170),
(key - 168)]
weights = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
for j in xrange(len(neighbour_keys)):
index = neighbour_keys[j]
if 0 < index < len(smaller_tiles):
if done_tiles[index] >= 0:
done_tiles[index] = (done_tiles[index] + (weights[j] * pollution_value)) / 2.0
else:
done_tiles[index] = weights[j] * pollution_value
print "Progress: " + str(i) + "/" + str(len(smaller_tiles))
with open(filename, 'w') as f:
for tile in smaller_tiles:
line = "\"" + tile.kml() + "\"" + ", " + str(done_tiles[tile.key]) + ", " + str(tile.key) + "\n"
f.write(line)
success = False
tries = 0
while (success is False) and tries < 3:
tries += 1
try:
print "Try no:" + str(tries) + " to update table"
update_table(filename)
success = True
except Exception:
print "Failed to update table"
if success:
print "Last fusion update: " + str(datetime.datetime.now())
