This commit is contained in:
Frank Villaro-Dixon 2024-05-06 16:00:17 +02:00
commit 3a3d997d49
6 changed files with 513 additions and 0 deletions

3
processing/.gitignore vendored Normal file
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results/
cache/
db.sqlite

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processing/Pipfile Normal file
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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
overpy = "*"
requests = "*"
geopy = "*"
numpy = "*"
[dev-packages]
[requires]
python_version = "3.12"

219
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{
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import statistics
import overpy
import utils
import time
CorrectSlope = bool
SlopeConfidence = float
class RiverTooShort(Exception):
pass
class River:
POOR_CONFIDENCE = 0.1
MEDIUM_CONFIDENCE = 0.5
HIGH_CONFIDENCE = 0.9
id: int
way: overpy.Way
is_correct_slope: bool
correct_slope_confidence: float
start_ele: float
end_ele: float
def __init__(self, wayid, way):
self.wayid = wayid
self.way = way
@property
def name(self):
return self.way.tags.get('name', None)
def osm_link(self):
return f'OSM LINK: https://www.openstreetmap.org/way/{self.wayid}'
def __repr__(self):
return f"River {self.name} {self.wayid}"
@property
def length(self) -> float:
return utils.distance(self.way.nodes[0], self.way.nodes[-1])
def to_dict(self):
return {
'name': self.name,
'wayid': self.wayid,
'nodes': [(float(pt.lat), float(pt.lon)) for pt in self.way.nodes],
'length': self.length,
'start_ele': utils.get_elevation(self.way.nodes[0].lat, self.way.nodes[0].lon),
'end_ele': utils.get_elevation(self.way.nodes[1].lat, self.way.nodes[1].lon),
'is_correct_slope': self.is_correct_slope,
'correct_slope_confidence': self.correct_slope_confidence,
'centroid': [float(self.centroid[0]), float(self.centroid[1])],
'timestap': int(time.time()),
}
@property
def centroid(self) -> tuple[float, float]:
lats = [pt.lat for pt in self.way.nodes]
lons = [pt.lon for pt in self.way.nodes]
return (statistics.mean(lats), statistics.mean(lons))
def check_slope(self):
self.is_correct_slope, self.correct_slope_confidence = self._calculate_slope()
def _calculate_slope(self) -> tuple[CorrectSlope, SlopeConfidence]:
start_pts = self.way.nodes[0:5]
end_pts = self.way.nodes[-5:]
start_eles = [utils.get_elevation(pt.lat, pt.lon) for pt in start_pts]
end_eles = [utils.get_elevation(pt.lat, pt.lon) for pt in end_pts]
start_median = statistics.median(start_eles)
self.start_ele = start_median
end_median = statistics.median(end_eles)
self.end_ele = end_median
length = self.length
if length < 1:
raise RiverTooShort()
slope = (end_median - start_median) / length
absele = abs(end_median - start_median)
if absele < 10:
# 10 meters difference between start and end... too risky
return (start_median >= end_median, self.POOR_CONFIDENCE)
if absele > 300:
# 300 meters difference. High confidence
return (start_median > end_median, self.HIGH_CONFIDENCE)
if slope < -0.02:
return (True, self.MEDIUM_CONFIDENCE)
if slope < 0:
return (True, self.POOR_CONFIDENCE)
if slope > 0.03:
return (False, self.MEDIUM_CONFIDENCE)
if slope >= 0:
return (False, self.POOR_CONFIDENCE)
# we should never reach this point
1/0
return (False, self.POOR_CONFIDENCE)

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import os
import json
import pickle
import hashlib
import overpy
import sqlite3
import numpy as np
from river import River, RiverTooShort
SQLITE_DB_FILE = 'db.sqlite'
def get_world_bbox(db: 'DBClient') -> list[tuple[float, float, float, float]]:
""" Segments the world into bboxes, to be used by the overpass api.
"""
#for lat in np.arang(-90, 90, 0.1):
# for lon in np.arang(-180, 180, 0.1):
for lat in np.arange(46, 47, 0.1):
for lon in np.arange(6, 7, 0.1):
""" Check if bbox was done in this run"""
elat = lat + 0.1
elon = lon + 0.1
lat = round(lat, 2)
lon = round(lon, 2)
elat = round(elat, 2)
elon = round(elon, 2)
print(f'Generated BBOX {lat}, {lon}, {elat}, {elon}')
if db.has_bbox_run_this_run(lat, lon, elat, elon):
print('BBOX already done this run. Will continue')
continue
yield (lat, lon, elat, elon)
print('Finished processing bbox. Will continue to next one')
db.done_bbox(lat, lon, elat, elon)
def overpass_cache(query: str) -> overpy.Result:
# Only used for testing purposes
query_hash = hashlib.sha256(query.encode()).hexdigest()
fn = f'cache/{query_hash}.pickle'
if not os.path.exists(fn):
with open(fn, 'wb') as f:
print("Will query overpass")
rslt = overpy.Overpass(url='https://overpass.kumi.systems/api/interpreter').query(query)
pickle.dump(rslt, f)
else:
print("Will load from cache")
with open(fn, 'rb') as f:
return pickle.load(f)
def get_rivers_of_bbox(bbox) -> list[River]:
bstr = f'{bbox[0]},{bbox[1]},{bbox[2]},{bbox[3]}'
result = overpass_cache(f"""
[timeout:25];
(
way["waterway"="river"]({bstr});
relation["waterway"="river"]({bstr});
);
out body;
>;
out skel qt;
""")
for way in result.ways:
wayid = way.id
r = River(wayid, way)
yield r
def process_river(r: River):
print(f'\nProcessing river {r.wayid}')
results_file = f'results/{r.wayid}.json'
try:
r.check_slope()
if not r.is_correct_slope:
print(f"River is not downhill. Confidence: {r.correct_slope_confidence}")
print(r.osm_link())
with open(results_file, 'w') as f:
js = r.to_dict()
f.write(json.dumps(js, indent=1))
except RiverTooShort:
print("River is too short")
print(r.osm_link())
class DBClient:
runid: int
def __init__(self, runid):
self.runid = runid
self.conn = self._get_db()
def _get_db(self) -> sqlite3.Connection:
if not os.path.exists(SQLITE_DB_FILE):
conn = sqlite3.connect(SQLITE_DB_FILE)
c = conn.cursor()
c.execute('CREATE TABLE worldexport (slat REAL, slon REAL, elat REAL, elon REAL, last_run INTEGER, PRIMARY KEY (slat, slon, elat, elon))')
c.execute('CREATE TABLE rivers (wayid INTEGER PRIMARY KEY, name TEXT, length REAL, start_ele REAL, end_ele REAL, slope_correct INTEGER, slope_confidence REAL, centroid_lat REAL, centroid_lon REAL, last_run INTEGER)')
conn.commit()
conn.close()
return sqlite3.connect(SQLITE_DB_FILE)
def has_bbox_run_this_run(self, slat: float, slon: float, elat: float, elon: float) -> int:
c = self.conn.cursor()
c.execute('SELECT last_run FROM worldexport WHERE slat = ? AND slon = ? AND elat = ? AND elon = ?', (slat, slon, elat, elon))
results = c.fetchall()
if results is None or results == []:
return False
return results[0][0] == self.runid
def done_bbox(self, slat: float, slon: float, elat: float, elon: float):
c = self.conn.cursor()
c.execute('REPLACE INTO worldexport (slat, slon, elat, elon, last_run) VALUES (?, ?, ?, ?, ?)', (slat, slon, elat, elon, self.runid))
self.conn.commit()
def is_river_done(self, r: River) -> bool:
c = self.conn.cursor()
c.execute('SELECT last_run FROM rivers WHERE wayid = ?', (r.wayid,))
results = c.fetchall()
if results is None or results == []:
return False
return results[0][0] == self.runid
def insert_river(self, r: River):
c = self.conn.cursor()
centroid = r.centroid
clat = float(centroid[0])
clon = float(centroid[1])
c.execute('''
REPLACE INTO rivers
(wayid, name, length, start_ele, end_ele, slope_correct, slope_confidence, centroid_lat, centroid_lon, last_run)
VALUES
(?, ?, ?, ?, ?, ?, ?, ?, ?, ?)''',
(r.wayid, r.name, r.length, r.start_ele, r.end_ele, r.is_correct_slope, r.correct_slope_confidence, clat, clon, self.runid))
self.conn.commit()
if __name__ == '__main__':
last_run = 1
db = DBClient(last_run)
for bbox in get_world_bbox(db):
for r in get_rivers_of_bbox(bbox):
if not db.is_river_done(r):
process_river(r)
db.insert_river(r)

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import overpy
import requests
import geopy.distance
def get_elevation(lat, lon) -> float:
return float(requests.get(f'https://www.elevation-api.eu/v1/elevation/{lat}/{lon}').text)
def distance(npt1: overpy.Node, npt2: overpy.Node) -> float:
""" returns the distance between npt1 and npt2 in meters"""
pt1 = (npt1.lat, npt1.lon)
pt2 = (npt2.lat, npt2.lon)
return geopy.distance.distance(pt1, pt2).km * 1000