monitoring/mapnik/mkcsv.py

99 lines
3.2 KiB
Python
Executable File

#!/usr/bin/python3
import math
import numpy as np
from scipy.spatial import Voronoi
from pymongo import MongoClient
client = MongoClient()
db = client.freifunk
with open("csv/routers.csv", "w") as csv:
csv.write("lng,lat,status\n")
for router in db.routers.find({"position.coordinates": {"$exists": True}}):
csv.write("%f,%f,%s\n" % (
router["position"]["coordinates"][0],
router["position"]["coordinates"][1],
router["status"]
))
with open("csv/links.csv", "w") as csv:
csv.write("WKT,quality\n")
for router in db.routers.find({"position.coordinates": {"$exists": True}, "neighbours": {"$exists": True}}):
for neighbour in router["neighbours"]:
if "position" in neighbour:
csv.write("\"LINESTRING (%f %f,%f %f)\",%i\n" % (
router["position"]["coordinates"][0],
router["position"]["coordinates"][1],
neighbour["position"]["coordinates"][0],
neighbour["position"]["coordinates"][1],
neighbour["quality"]
))
with open("csv/hood-points.csv", "w", encoding="UTF-8") as csv:
csv.write("lng,lat,name\n")
for hood in db.hoods.find({"position": {"$exists": True}}):
csv.write("%f,%f,\"%s\"\n" % (
hood["position"]["coordinates"][0],
hood["position"]["coordinates"][1],
hood["name"]
))
with open("csv/hoods.csv", "w") as csv:
EARTH_RADIUS = 6378137.0
def merc_sphere(lng, lat):
x = math.radians(lng) * EARTH_RADIUS
y = math.log(math.tan(math.pi/4 + math.radians(lat)/2)) * EARTH_RADIUS
return (x,y)
def merc_sphere_inv(x, y):
lng = math.degrees(x / EARTH_RADIUS)
lat = math.degrees(2*math.atan(math.exp(y / 6378137.0)) - math.pi/2)
return (lng,lat)
csv.write("WKT\n")
hoods = []
for hood in db.hoods.find({"position": {"$exists": True}}):
# convert coordinates info marcator sphere as voronoi doesn't work with lng/lat
x, y = merc_sphere(hood["position"]["coordinates"][0], hood["position"]["coordinates"][1])
hoods.append([x, y])
points = np.array(hoods)
vor = Voronoi(points)
#mp = voronoi_plot_2d(vor)
#mp.show()
lines = [vor.vertices[line] for line in vor.ridge_vertices if -1 not in line]
for line in lines:
x = [line[0][0], line[1][0]]
y = [line[0][1], line[1][1]]
for i in range(len(x)-1):
# convert mercator coordinates back into lng/lat
lng1, lat1 = merc_sphere_inv(x[i], y[i])
lng2, lat2 = merc_sphere_inv(x[i+1], y[i+1])
csv.write("\"LINESTRING (%f %f,%f %f)\"\n" % (lng1, lat1, lng2, lat2))
ptp_bound = np.array(merc_sphere(180, 360))
center = vor.points.mean(axis=0)
for pointidx, simplex in zip(vor.ridge_points, vor.ridge_vertices):
simplex = np.asarray(simplex)
if np.any(simplex < 0):
i = simplex[simplex >= 0][0] # finite end Voronoi vertex
t = vor.points[pointidx[1]] - vor.points[pointidx[0]] # tangent
t /= np.linalg.norm(t)
n = np.array([-t[1], t[0]]) # normal
midpoint = vor.points[pointidx].mean(axis=0)
direction = np.sign(np.dot(midpoint - center, n)) * n
far_point = vor.vertices[i] + direction * ptp_bound.max()
# convert mercator coordinates back into lng/lat
lng1, lat1 = merc_sphere_inv(vor.vertices[i,0], vor.vertices[i,1])
lng2, lat2 = merc_sphere_inv(far_point[0], far_point[1])
csv.write("\"LINESTRING (%f %f,%f %f)\"\n" % (lng1, lat1, lng2, lat2))