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October 4, 2022 11:40
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Generate featurecollection with random points within bounding box and random atttribute values #geojson #python #click #mock #testing
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#!/usr/bin/env python3 | |
import os | |
import json | |
from pathlib import Path | |
import random | |
import uuid | |
import click | |
def get_random_word(): | |
""" | |
relies on linux/ubuntu supplied dictionary of words in /etc/dictionaries/words | |
""" | |
return random.choice( | |
[ | |
x.replace("\n", "") | |
for x in open("/etc/dictionaries-common/words").readlines() | |
] | |
) | |
def get_random_point(minx, maxx, miny, maxy): | |
x = round(random.uniform(minx, maxx), 2) | |
y = round(random.uniform(miny, maxy), 2) | |
return [x, y] | |
@click.command() | |
@click.argument("bbox") | |
@click.argument("properties") | |
@click.option("--n", default=100) | |
@click.option("--output-file") | |
def main(bbox, properties, n, output_file): | |
minx, miny, maxx, maxy = [float(x) for x in bbox.split(",")] | |
fc = { | |
"type": "FeatureCollection", | |
"crs": {"type": "name", "properties": {"name": "urn:ogc:def:crs:EPSG::28992"}}, | |
"features": [], | |
} | |
for _ in range(0, n): | |
point = get_random_point(minx, maxx, miny, maxy) | |
properties_dict = {x: "string" for x in properties.split(",")} | |
properties_out = {key: get_random_word() for key in properties_dict.keys()} | |
ft = { | |
"type": "Feature", | |
"id": str(uuid.uuid4()), | |
"properties": properties_out, | |
"geometry": {"type": "Point", "coordinates": point}, | |
} | |
fc["features"].append(ft) | |
output_file = os.path.abspath(output_file) | |
if output_file and Path(os.path.dirname(output_file)).is_dir(): | |
with open(output_file, "w") as f: | |
json.dump(fc, f) | |
elif output_file: | |
print(f"destination dir does not exist: {os.path.basename(output_file)}") | |
exit(1) | |
else: | |
print(json.dumps(fc, indent=4)) | |
if __name__ == "__main__": | |
main() |
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