poiidx 0.0.8
Efficient spatial indexing and querying of Points of Interest using PostgreSQL and PostGIS
Requires Python: >=3.8

# poiidx

[![PyPI - Version](https://img.shields.io/pypi/v/poiidx.svg)](https://pypi.org/project/poiidx)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/poiidx.svg)](https://pypi.org/project/poiidx)

-----

**poiidx** is a Python library for efficient spatial indexing and querying of Points of Interest (POIs) using PostgreSQL and PostGIS. It enables you to quickly find nearby POIs, retrieve administrative boundaries, and explore geographic hierarchies based on OpenStreetMap data.

📚 **[Read the full documentation](https://bytehexe.github.io/poiidx/)** for detailed guides, tutorials, and API reference.

## Table of Contents

- [Installation](#installation)
- [Database Setup](#database-setup)
- [Usage](#usage)
- [License](#license)

## Installation

```console
pip install poiidx
```

## Database Setup

### Install PostgreSQL and PostGIS

**Ubuntu/Debian:**
```console
sudo apt update
sudo apt install postgresql postgis
```

**macOS:**
```console
brew install postgresql@16 postgis
brew services start postgresql@16
```

**Arch Linux:**
```console
sudo pacman -S postgresql postgis
sudo -u postgres initdb -D /var/lib/postgres/data
sudo systemctl start postgresql
```

### Create Database and User

```console
# Create user
sudo -u postgres createuser -P poiidx_user
# Enter password when prompted

# Create database
sudo -u postgres createdb -O poiidx_user poiidx_db

# Enable PostGIS extension
sudo -u postgres psql -d poiidx_db -c "CREATE EXTENSION postgis;"
```

## Usage

```python
import poiidx
from shapely.geometry import Point

# Initialize the database connection
poiidx.init(
    host='localhost',
    database='poiidx_db',
    user='poiidx_user',
    password='your_secure_password',
    port=5432
)

# Find nearest POIs to a point (e.g., Berlin)
berlin_point = Point(13.4050, 52.5200)
nearest_pois = poiidx.get_nearest_pois(
    berlin_point,
    max_distance=1000,  # meters
    limit=5
)

for poi in nearest_pois:
    print(f"{poi['name']} - Region: {poi['region']}, Rank: {poi['rank']}")

# Get administrative hierarchy for a point
admin_hierarchy = poiidx.get_administrative_hierarchy(berlin_point)
for admin in admin_hierarchy:
    print(f"Level {admin['admin_level']}: {admin['name']}")

# Get administrative hierarchy as a formatted string
admin_str = poiidx.get_administrative_hierarchy_string(berlin_point)
print(admin_str)

# Get administrative hierarchy in a specific language (e.g., French)
admin_str_fr = poiidx.get_administrative_hierarchy_string(berlin_point, lang='fr')
print(admin_str_fr)

# Close the connection when done
poiidx.close()
```

## License

`poiidx` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.

## Data Sources & Attribution

This project uses data from the following sources:

### OpenStreetMap (via Geofabrik)
POI and administrative boundary data is sourced from [OpenStreetMap](https://www.openstreetmap.org/), distributed via [Geofabrik](https://www.geofabrik.de/). 

© OpenStreetMap contributors. Data available under the [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/).

### Wikidata
When country information is not available in OpenStreetMap data, it is supplemented using [Wikidata](https://www.wikidata.org/).

© Wikidata contributors. Data available under [CC0 1.0 Universal (CC0 1.0) Public Domain Dedication](https://creativecommons.org/publicdomain/zero/1.0/).