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

from sqlalchemy import create_engine #, text
from sqlalchemy.engine import URL
from sqlalchemy.types import Date,Time,String
from shapely.geometry import Point
import pandas as pd
import datetime

file = '/home/colas/Documents/9_PROJETS/4_SICEN/IMPORT/Tableau Saisie_FauneFlore_AG_30_03_22.xlsx'
# file = '/home/colas/Documents/9_PROJETS/4_SICEN/LPO/cdnom_idvisionature.csv'
to_table = 'import_data_cen38'
# to_table = 'taxons_fauneisere_biolovision_taxref'

# Parametres bdd
user = 'cen_admin'
pwd  = '#CEN38@venir'
adr  = '91.134.194.221'
port = '5432'
base = 'sicen2'

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

df = pd.read_excel(
  file,
  skiprows=[1,2,3,4]
)
if 'nom de champ' in df.columns:
  del df['nom de champ']
# df = pd.read_csv(file,sep=',')
df.columns = df.columns.str.strip().str.lower()
df.dropna(subset=['date_obs'],inplace=True)
df.drop_duplicates(inplace=True)


date_default = datetime.datetime(1899, 12, 30, 0, 0)
# data_import.loc[data_import['time_start'] == date_default,'time_start'] = datetime.time(0,0)
# data_import.loc[data_import['time_stop'] == date_default,'time_stop'] = datetime.time(0,0)
# data_import.loc[data_import['time_start'] == '1899-12-30 00:00:00','time_start'] = '00:00:00'
# data_import.loc[data_import['time_stop'] == '1899-12-30 00:00:00','time_stop'] = '00:00:00'
# df.loc[df['horaire'] == date_default,'horaire'] = datetime.time(0,0)
df.date_obs = df.date_obs.dt.date

if to_table == 'import_data_cen38':
  dtype = {
    'date_obs':Date, 
    'date_debut_obs':Date, 
    'date_fin_obs':Date, 
    'heure':Time, 
    'strate':String, 
    'phenologie':String, 
    'cd_nom':String, 
    'sexe':String, 
    'precision':String}
else : dtype = None


df.to_sql(
    name=to_table,
    con = con,
    schema='import',
    index=False,
    if_exists='replace',
    method='multi',
    dtype=dtype
)

sql_grant = """
GRANT ALL ON TABLE import.%s TO grp_admin
""" % to_table

with con.begin() as cnx:
    cnx.execute(sql_grant)