geo locations

A simple package for managing czech municipalities. It enables to scrape source data (czech municipalities together with their GPS coordinates), store them into ES index and then make queries.

Installation

Using pip

pip3 install geo-places

Directly from github

pip3 install git+https://github.com/bauerji/geo_locations.git

Usage

Location index preparation

import asyncio
from pathlib import Path

from geo_places.dataset import gener_dataset
from geo_places.elasticsearch.handler import ElasticClient


url = "https://wwwinfo.mfcr.cz/ares/obce/ares_obce.html.cz"

# this is a default path where the data file lands after package installation
path = Path("/usr/local/data/municipality_population.csv")


async def populate():
    es = ElasticClient("localhost")
    await es.index_location_objects(gener_dataset(path))


def main():
    asyncio.run(populate())


if __name__ == '__main__':
    main()

Location suggest

from geo_places.elasticsearch.handler import ElasticClient


if __name__ == '__main__':
    es = ElasticClient("localhost")
    suggestions = es.suggest_location("hor")
    for suggestion in suggestions:
        print(suggestion.name, suggestion.population)

Location search

from geo_places.elasticsearch.handler import ElasticClient


if __name__ == '__main__':
    es = ElasticClient("localhost")
    results = es.search_location("prha 10", fuzzy=True)
    for result in results:
        print(result)

TODOs:

• tests