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

from sqlalchemy.sql import text
from sqlalchemy.engine import URL
from sqlalchemy import create_engine
import pandas as pd
import geopandas as gpd


# pg_dump -h 91.134.194.221 -d cadastre -U cgeier --schema="38_202207" -s > 38_202207.sql
# psql -h 91.134.194.221 -U cgeier -d cadastre -a -f 38_202207.sql

user   = 'cgeier'
pwd    = 'adm1n*bdCen'
adr    = '91.134.194.221'
base   = 'cadastre'
url = URL.create('postgresql+psycopg2', 
  username=user,
  password=pwd,
  host=adr,
  database=base,
)
con_cad = create_engine(url)


lst_sch = con_cad.dialect.get_schema_names(con_cad)
lst_sch = ['07_202207','26_202207','42_202207']

for s in lst_sch:
  lst_tab = con_cad.dialect.get_table_names(con_cad,s)
  for t in lst_tab:
    lst_col = con_cad.dialect.get_columns(con_cad,t,s)
    lst_col = [x['name'] for x in lst_col ]

    if 'geom' in lst_col:
      df = gpd.read_postgis('SELECT * FROM "{sch}".{tab}'.format(sch=s,tab=t),con_cad)
      if df.empty:
        continue
      df.to_postgis(t,con_cad,'xx_202207',if_exists='append',index=False)
    else :
      df = pd.read_sql_table(t,con_cad,s)
      if df.empty:
        continue
      df.to_sql(t,con_cad,'xx_202207',if_exists='append',index=False)

    print("{sch}.{tab}".format(sch=s,tab=t))