Référentiel géographique
Project description
Référentiel géographique
Prérequis : vous devez installer l’extension postgis sur votre base de donnée.
Création et remplissage du référentiel géographique :
python3 -m venv venv
source venv/bin/activate
pip install -e .
pip install psycopg2 # for postgresql database
export SQLALCHEMY_DATABASE_URI="postgresql://user:password@localhost:5432/database"
alembic -x local-srid=2154 upgrade ref_geo@head
alembic upgrade ref_geo_fr_municipalities@head # Insertion des communes françaises
alembic upgrade ref_geo_fr_departments@head # Insertion des départements français
alembic upgrade ref_geo_fr_regions@head # Insertion des régions françaises
alembic upgrade ref_geo_fr_regions_1970@head # Insertion des anciennes régions françaises
alembic upgrade ref_geo_inpn_grids_1@head # Insertion du maillage 1×1km de l’hexagone fourni par l’INPN
alembic upgrade ref_geo_inpn_grids_5@head # Insertion du maillage 5×5km de l’hexagone fourni par l’INPN
alembic upgrade ref_geo_inpn_grids_10@head # Insertion du maillage 10×10km de l’hexagone fourni par l’INPN
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pypn-ref-geo-1.1.1.tar.gz
(28.1 kB
view details)
Built Distribution
File details
Details for the file pypn-ref-geo-1.1.1.tar.gz
.
File metadata
- Download URL: pypn-ref-geo-1.1.1.tar.gz
- Upload date:
- Size: 28.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b871fd8d245004cf70ad3ab59c06863fa51ed76312b37868dd9dcd5e57cbcc38 |
|
MD5 | bdcd0e9731bc54af839a4bc16024b2ed |
|
BLAKE2b-256 | b1b3f240843f1ad6c05cded986c2dcaf8297915c7f28782522fbc438e6c554cf |
File details
Details for the file pypn_ref_geo-1.1.1-py3-none-any.whl
.
File metadata
- Download URL: pypn_ref_geo-1.1.1-py3-none-any.whl
- Upload date:
- Size: 36.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ea9eaf3d95534a73b92d437c64a992f99c0c9173a6840625d3040d75ed2ba13 |
|
MD5 | e401593e6943a909eebfc992985028cf |
|
BLAKE2b-256 | 1a16caa27d9744506d23b883b16fb8ced3abf04367d86c5069d743029f6ce1a9 |