from geoalchemy2 import Geometry
import geopandas as gpd
from sqlalchemy import create_engine

user_cad   = 'cgeier'                 # utilisateur de connexion à la bdd
pwd_cad    = 'adm1n*bdCen'            # mot de passe de la bdd
adr_cad    = '91.134.194.221'               # adresse ip de la bdd
port_cad   = '5432'                     # port de la bdd
base_cad   = 'rhomeo'                 # nom de la bdd
schema_cad = 'refgeo'        
con = create_engine('postgresql+psycopg2://{0}:{1}@{2}:{3}/{4}'.format(user_cad,pwd_cad,adr_cad,port_cad,base_cad), echo=False)


file = '/home/colas/Documents/5_BDD/BASSIN_VERSANT/AGENCE EAU/bvmdo/bvmdo.shp'
df = gpd.read_file(file)
df.rename_geometry('geom', inplace=True)

has_z = True if df.has_z.all() else False
unique_geom = df.geom_type.unique()
geom_type = df.geom_type[0].upper() if len(unique_geom) == 1 else 'GEOMETRY'
geom_type = geom_type+'Z'if has_z else geom_type

(df
    .to_wkt()
    .to_sql(
        'zh',
        con,
        schema_cad,
        if_exists='append',
        index=False,
        dtype={
            'geom':Geometry(geometry_type=geom_type,srid=2154)
        }
    )
)


sql = 'SELECT * FROM tachenew.tache_urbaine'
sql = 'SELECT * FROM arvfnew.arvf_global_buffer'
df = gpd.read_postgis(sql,con)