import pandas as pd
import geopandas as gpd
from pycen import con_gn

old = gpd.read_file('/home/cgeier/Téléchargements/Telechargement_1772622390_2696/data/n_zone_humide_s_038/n_zone_humide_s_038.json')
new = gpd.read_postgis('SELECT * FROM gn_exports.v_synthese_zones_humides_isere',con_gn).to_crs(2154)
tab = pd.read_csv('/home/cgeier/Documents/9_PROJETS/1_ZH/2024/RENDU SIG/pv_evolution_dossier.csv',sep=',')



for etude in tab.nom_etude.unique():
    if tab[(tab.nom_etude==etude)].organisme_transmission.any():
        continue
    print('\n',etude)
    news = tab[(tab.nom_etude==etude) & (tab.status_inventaire == 'Nouvelle')]
    modif = tab[(tab.nom_etude==etude) & (tab.status_inventaire== 'Modification')]
    supp = tab[(tab.nom_etude==etude) & (tab.status_inventaire == 'Supression')]

    new_add = new[new.code.isin(news.code_zh.tolist())].copy()
    del_zh  = old[old.id_local.isin(supp.code_zh.tolist())]
    print('\tNouvelles surfaces ajoutées : %f ha'%(round(new_add.area.sum()/10000,2)),' ; %i zh'%new_add.shape[0],' ; \n\tcode : ',', '.join(list(new_add.code)))
    print('\tSurfaces supprimées : %f ha'%(round(del_zh.area.sum()/10000,2)),' ; %i zh'%del_zh.shape[0],' ; \n\tcode : ',', '.join(list(del_zh.id_local)))

    code_modif = modif.code_zh.tolist()
    diff = (new[new.code.isin(code_modif)]
        .sort_values('code').set_index('code').area - old[old.id_local.isin(code_modif)]
        .sort_values('id_local').set_index('id_local').area
    )
    add = diff[diff > 0]
    red = diff[diff < 0]

    print('\tModification surfaces ajoutées : %f ha'%(round(add.sum()/10000,2)),' ; %i zh'%add.shape[0],' ; \n\tcode : ',', '.join(list(add.index)))
    print('\tModification surfaces perdues : %f ha'%(round(red.sum()/10000,2)),' ; %i zh'%red.shape[0],' ; \n\tcode : ',', '.join(list(red.index)))