/
generate_heat_map.py
executable file
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/
generate_heat_map.py
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#! /usr/bin/env python3
from itertools import chain
from pathlib import Path
import os
import utils
from tqdm import tqdm
city = utils.load_parameters()['city']
obj = utils.load_json(city)
nodes = utils.node_dictionary(obj)
streets = utils.street_dictionary(obj)
lengths = {}
for s, n in streets.items():
tl = utils.total_distance_of_paths(n, nodes)
print(f"{s}, Number of nodes: {len(set(chain(*n)))}, Length: {round(tl, 3)}")
for node in set(chain(*n)):
lengths[node] = tl
print(f"# of Streets: {len(streets)}")
print(f"# of Nodes From Streets: {sum(len(s) for s in streets.values())}")
print(f"# of Nodes From Query: {len([e for e in obj['elements'] if e['type'] == 'node'])}")
print(len(nodes))
nodes_to_write = []
csnodes_file = Path(__file__).parent / "csnodes" / f"{city}.csv"
remove_nodes = os.path.exists(csnodes_file)
if remove_nodes:
points_done = utils.load_completed_csnodes(csnodes_file)
print("Determining which nodes to show...")
max_len = utils.load_parameters()['heat_map_max_length']
exclude_csnodes = utils.load_parameters()['heat_map_exclude_csnodes']
for e in tqdm(obj['elements']):
if e['type'] == 'node':
id = e['id']
l = lengths[id]
point = (float(e['lat']), float(e['lon']))
if (l < max_len) and (not remove_nodes or not exclude_csnodes or points_done and utils.is_close(points_done, point, 0.01)):
nodes_to_write.append([float(e['lat']), float(e['lon']), 2, f"\"Name: {id}\"", l])
utils.write_nodes_csv(nodes_to_write)