#!/usr/bin/env python3
# -*- coding: UTF-8 -*-.

from sqlalchemy import create_engine, text
from sqlalchemy.engine import URL
from datetime import datetime as dt
import pandas as pd
import geopandas as gpd


# zones_humides / ps
schema = 'zones_humides'

# Parametres bdd
user = 'cen_admin'
pwd  = '#CEN38@venir'
adr  = '91.134.194.221'
port = '5432'
base = 'azalee'

url = URL.create('postgresql+psycopg2', 
  username=user,
  password=pwd,
  host=adr,
  database=base,
)
con_azalee = create_engine(url)
# Parametres bdd
user = 'Admin_CENI'
pwd  = 'yatIv5quoop+'
adr  = 'database.carmencarto.fr'
port = '5432'
base = 'CENI'

url = URL.create('postgresql+psycopg2', 
  username=user,
  password=pwd,
  host=adr,
  database=base,
)
con_carmen = create_engine(url)

if schema == 'ps':
    table = 'v_pelouseseches'
elif schema == 'zones_humides':
    table = 'v_zoneshumides'

today = dt.now()

sql = 'SELECT * FROM %s.%s' % (schema,table)
vue = gpd.read_postgis(sql,con_azalee)
vue.to_postgis(
    name=table,
    con=con_carmen,
    # schema=schema,
    if_exists='replace',
    index=False,
    # geom_col='geom'
)

comment = "COMMENT ON TABLE %s IS 'LAST UPDATE : %s'" % (table,today)
with con_carmen.begin() as cnx:
    cnx.execute(comment)