init depot renew
This commit is contained in:
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#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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from os import getlogin,path,chdir
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import sys
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import pandas as pd
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import geopandas as gpd
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from sqlalchemy.engine import URL
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from sqlalchemy import create_engine
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from pycen import con_bdcen as con, con_fon, wfs
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# NOT WORK
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# SCRIPT_DIR = path.dirname(path.abspath(__file__))
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# sys.path.append(path.dirname(SCRIPT_DIR))
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# from . import get_siteCen_fede
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annee = 2023
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term_parcelle_conv = ['CONVENTION',"CONVENTION D'USAGE",'ACCORD VERBAL']
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path_agri = '/media/cgeier/SRV/FICHIERS/OUTILS/CARTOGRAPHIE/ESPACE DE TRAVAIL/TRAVAUX/Couches de référence/'
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agri_partenaire_surf = gpd.read_file(path_agri+'AGRIS_partenaires_surface exploitées.shp')
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agri_partenaire = gpd.read_file(path_agri+'AGRIS_partenaires.shp')
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id_rnx = ['RNGL','RNIP']
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MAJ_COLNAME = {
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'doc_gestion_annee_ini':'doc_gestion_date_ini',
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'doc_gestion_annne_maj':'doc_gestion_date_maj',
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'source_geom_site_annee':'source_geom_site_date',
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'0':'surf_carto_habitat_m2',
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'F':'geol_site_inpn',
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}
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def drop_specialchar(obj):
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return obj.replace({
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r'[’]':"'",
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r'[àáâãäå]':'a',
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r'[èéêë]':'e',
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r'[ìíîï]':'i',
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r'[òóôõö]':'o',
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r'[ùúûü]':'u',
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# r'[ ]':"",
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r'[–]':"-"
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},regex=True)
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def get_site():
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sqlsit = '''SELECT * FROM %s.%s'''%('sites','c_sites_zonages')
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return gpd.read_postgis(sql=sqlsit,geom_col='geom',con=con)
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def get_siteCen_fede(an=None):
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sqlsit = '''SELECT * FROM %s.%s'''%('sites','c_sites_zonages')
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if an :
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sqlsit += ''' WHERE date_fin is NULL OR date_fin >= '%i-01-01' '''%an
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sqlsit += ' order by code_site'
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dfsite = gpd.read_postgis(sql=sqlsit,geom_col='geom',con=con)
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# Isolation de tous les sites CEN (gestion/assist/mili)
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dup = dfsite.code_site.duplicated(keep=False)
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typzon = dfsite.type_zonage.isin(['ZI','DO','DH'])
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return dfsite[
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~dup | (dup & typzon)
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]
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def get_parcelleCen_fede(an=None):
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sqlsit = '''SELECT * FROM %s.%s'''%('foncier','c_anim_foncier_v2')
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if an :
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sqlsit += '''
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WHERE maitrise IN (
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'ACCORD VERBAL','ACQUI PAR LE CEN EN BND','ACQUI PAR LE CEN ISERE',
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'ACQUIS PAR LE CEN ISERE','ACQUIS&CONVENTION','Acquis par le CEN ou CREN',
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'BAIL EMPHYTEOTIQUE','CONVENTION','CONVENTION D''USAGE','FRUP')
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AND (commentair not ilike '%%{an}%%' OR commentair IS NULL)'''.format(an=an)
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return gpd.read_postgis(sql=sqlsit,geom_col='geom',con=con)
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def update_date_site2022(df):
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df['date_crea_site'].replace({
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'01/012005': '01/01/2005',
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'01/01/98': '01/01/1998',
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'01/01/03': '01/01/2003',
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'09.05.2001': '09/05/2001',
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'03/1986': '01/03/1986',
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'01/01/94': '01/01/1994',
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}, inplace=True)
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df['date_crea_site'] = pd.to_datetime(
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df['date_crea_site'],
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# format='%Y/%m/%d',
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yearfirst=True
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)
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return df
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def update_date(serie):
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DICT = {
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'024/04/2019':'24/04/2019'
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}
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return pd.to_datetime(
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serie.replace(DICT),
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# format='%Y/%m/%d',
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yearfirst=True
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)
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if __name__ == "__main__":
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path_source = '/media/{login}/SRV/FICHIERS/OUTILS/BASES DE DONNEES/BILAN_FEDE_CEN/{an}/'.format(login=getlogin(),an=annee)
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path_an_precedent = '/media/{login}/SRV/FICHIERS/OUTILS/BASES DE DONNEES/BILAN_FEDE_CEN/{an}/ENVOIE/'.format(login=getlogin(),an=annee-1)
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tdb_sites_csv = 'Sites_CEN_38_%i.csv'
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receuil_path = 'Recueil_data/'
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receuil_datasite = 'TBD - receuil data SITES.xlsx'
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shp_cnpe = 'primtresitecnpe/perimetre_site_CNPE_2019.shp'
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# path_source = '/media/{login}/SRV/FICHIERS/OUTILS/BASES DE DONNEES/BILAN_FEDE_CEN/{an}/Docs_SIG_joints{an}/'.format(login=getlogin(),an=annee)
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dico_data = 'Docs_SIG_joints{an}/Dico_DATA_sites_CEN_v{an}_v1.xlsx'.format(an=annee)
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lv_typmilie = pd.read_excel(path_source+dico_data,sheet_name='listes_valeurs',header=1, usecols='M:N',nrows=16)
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lv_typmilie.columns = ['code_type_milieu','libelle_type_milieu']
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dfsite = get_siteCen_fede(annee-1)\
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.sort_values('code_site')\
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.reset_index()
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dfsite.loc[(dfsite.code_site=='N2IP') & (dfsite.type_zonage=='DO'),'code_site'] = 'N2IP_DO'
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dfsite.loc[(dfsite.code_site=='N2IP') & (dfsite.type_zonage=='DH'),'code_site'] = 'N2IP_DH'
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dfparc = get_parcelleCen_fede(annee)
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sitefcen = dfsite[dfsite.intersects(dfparc.unary_union)]
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parconv = dfparc.maitrise.isin(term_parcelle_conv)
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site_rnx = dfsite[dfsite.code_site.isin(id_rnx)].copy()
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n2000_zps = wfs.get_wfs(
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url = "https://ws.carmencarto.fr/WMS/119/fxx_inpn?",
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layer = "Zones_de_protection_speciale",
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bbox = dfsite.unary_union )
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# n2000_zps = wfs.get_wfs(url="https://ws.carmencarto.fr/WMS/119/fxx_inpn?",layer="Zones_de_protection_speciale")
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n2000_zsc = wfs.get_wfs(
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url="https://ws.carmencarto.fr/WMS/119/fxx_inpn?",
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layer="Sites_d_importance_communautaire_JOUE__ZSC_SIC_",
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bbox=dfsite.unary_union )
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site2022 = pd.read_csv(path_an_precedent+tdb_sites_csv % (annee-1))\
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.rename(columns=MAJ_COLNAME)\
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.replace({'id_site_cen':{'COMB':'COCO'}})
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site2022 = update_date_site2022(site2022)
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site2023 = site2022[site2022.id_site_cen.isin(dfsite.code_site)]\
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.reset_index(drop=True)
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recueil_site = pd.read_excel(path_source+receuil_path+receuil_datasite,header=0,skiprows=[1])\
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.replace({'Null':None})
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recueil_site['doc_gestion_date_ini'] = update_date(recueil_site['doc_gestion_date_ini'])
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recueil_site['doc_gestion_date_maj'] = update_date(recueil_site['doc_gestion_date_maj'])
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recueil_site['doc_gestion_date_fin'] = update_date(recueil_site['doc_gestion_date_fin'])
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test_add = ~recueil_site.id_site.isin(site2023.id_site_cen)
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add_site = recueil_site[test_add].rename(columns={
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'id_site':'id_site_cen'
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})
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site2023 = pd.concat([site2023,add_site])
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# site_exploit_agri = dfsite.intersects(agri_partenaire.unary_union)
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site_exploit_agri_surf = dfsite.intersects(agri_partenaire_surf.unary_union)
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# Test d'identification des nouveaux sites
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sitenew = ~dfsite.code_site.isin(site2022.id_site_cen)
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if sitenew.any():
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print('WARNING : de nouveaux sites sont apparus cette année :\n\t%s'%str(tuple(dfsite[sitenew].code_site)))
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intersect_acqu = dfsite[sitenew].intersects(dfparc[~parconv].unary_union)
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intersect_conv = dfsite[sitenew].intersects(dfparc[parconv].unary_union)
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if intersect_acqu.any():
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print(' Le(s) nouveau(x) site(s) intersect(ent) des parcelles acquises : \n\t%s'%str(tuple(dfsite[sitenew&intersect_acqu].code_site)))
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else:
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print(' Le(s) nouveau(x) site(s) ne contien(nen)t pas de parcelles acquises ...')
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if intersect_conv.any():
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print(' Le(s) nouveau(x) site(s) intersect(ent) des parcelles conventionnées : \n\t%s'%str(tuple(dfsite[sitenew&intersect_conv].code_site)))
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else:
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print(' Le(s) nouveau(x) site(s) ne contien(nen)t pas de parcelles conventionnées ...')
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dfsite = dfsite[~sitenew].copy()\
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.reset_index()
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else :
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print("Pas de nouveaux sites pour l'année %i."%annee)
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site2023.sort_values('id_site_cen',inplace=True)
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recueil_site.sort_values('id_site',inplace=True)
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dfsite.sort_values('code_site',inplace=True)
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# nom_site
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site2023['nom_site'] = [
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dfsite[dfsite.code_site==x].nom_site.values[0]
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if x in [*dfsite.code_site] else None
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for x in site2023.id_site_cen
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]
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site2023['nom_site'] = drop_specialchar(site2023['nom_site'].str.lower())
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site2023['nom_site'] = site2023['nom_site'].str.upper()
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# site_rnx_surface_m2
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site2023.site_rnx_surface_m2 = dfsite\
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.intersection(site_rnx.unary_union)\
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.area.astype(int)
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# ens (A FAIRE)
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site2023['ens'] = site2023['ens'].fillna(1).astype(int)
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# site_cdl
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site2023.site_cdl = 0
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# n2000_directive
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site2023 = site2023.merge(dfsite[['code_site','geom']],how='left',left_on='id_site_cen',right_on='code_site')\
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.drop(columns=['code_site'])
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cnpe = gpd.read_file(path_source+receuil_path+shp_cnpe)
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# site2023.loc[site2023.id_site_cen=='CNPE','geom'] = cnpe.iloc[0].geometry
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site2023 = gpd.GeoDataFrame(site2023,geometry='geom',crs=2154)
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site2023['is_zps'] = site2023.intersects(n2000_zps.unary_union)
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site2023['is_zsc'] = site2023.intersects(n2000_zsc.unary_union)
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site2023['n2000'] = site2023[['is_zps','is_zsc']].sum(axis=1)
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site2023.loc[site2023.n2000==2,'n2000_directive'] = 'ZPS_ZSC'
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site2023.loc[site2023.n2000==0,'n2000_directive'] = '0'
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site2023.loc[site2023.is_zps & (site2023.n2000!=2),'n2000_directive'] = 'ZPS'
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site2023.loc[site2023.is_zsc & (site2023.n2000!=2),'n2000_directive'] = 'ZSC'
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site2023.drop(columns=['is_zps','is_zsc','n2000'],inplace=True)
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# n2000_surface_m2
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site2023['n2000_surface_m2'] = site2023\
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.intersection(pd.concat([n2000_zps,n2000_zsc]).unary_union)\
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.area.astype(int)
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# terrain_militaire
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site2023['terrain_militaire'] = (dfsite.type_site == 'MILI').astype(int)
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# site_marin
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site2023['site_marin'] = 0
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# nb_contrat_agri
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site2023['nb_contrat_agri'] = site2023['nb_contrat_agri'].fillna(0)
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# nb_agri
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site2023['nb_agri'] = site2023['nb_agri']\
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.replace({'?':0})\
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.fillna(0)\
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.astype(int)
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# surf_contra_m2
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site2023['surf_contra_m2'] = site2023['surf_contra_m2'].fillna(0)
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# code_milieu_princ
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dict_milieu = dict(zip(lv_typmilie.libelle_type_milieu,lv_typmilie.code_type_milieu))
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dfsite['milieux'].replace({'Gîtes à chiroptères et milieux souterrains':'Gîtes à chiroptères'}, inplace=True)
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dfsite['code_milieu'] = dfsite.milieux.str.lower().replace(dict_milieu)
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site2023['code_milieu_princ'] = [
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dfsite[dfsite.code_site==x].code_milieu.values[0] if x in [*dfsite.code_site] else None for x in site2023.id_site_cen
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]
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# nature_site_inpn
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site2023['nature_site_inpn'] = 'N'
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# geol_site_inpn
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site2023['geol_site_inpn'] = 'N'
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# code_geol
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site2023['code_geol'] = 21
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# carto_habitats
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site2023['carto_habitats'] = site2023['carto_habitats'].fillna(0)
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# typo_carto_habitat
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site2023['typo_carto_habitat'] = site2023['typo_carto_habitat'].fillna(0)
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# surf_carto_habitat_m2
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site2023['surf_carto_habitat_m2'] = site2023['surf_carto_habitat_m2'].fillna(0)
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# date_crea_site
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datemiss = site2023['date_crea_site'].isnull()
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for s in site2023[datemiss].id_site_cen:
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if s not in dfsite.code_site : pass
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site2023.loc[site2023.id_site_cen==s,'date_crea_site'] = dfsite[dfsite.code_site==s].date_ajout
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site2023['date_crea_site'] = pd.to_datetime(site2023['date_crea_site'],yearfirst=True, format='%Y/%m/%d')
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# date_maj_site
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site2023['date_maj_site'] = dfsite.date_maj.copy()
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# nature_perimetre
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site2023['nature_perimetre'] = site2023['nature_perimetre'].fillna(0)
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# source_geom_site_nature
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site2023['source_geom_site_nature'] = site2023['source_geom_site_nature'].fillna(0)
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# source_geom_site_date
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site2023['source_geom_site_date']
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# echelle_num_site
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site2023['echelle_num_site'] = site2023['echelle_num_site'].fillna(0)
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# precision_num_site
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site2023['precision_num_site'] = site2023['precision_num_site'].fillna('NE')
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# gestionnaire_site
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gestmiss = site2023['gestionnaire_site'].isna()
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site2023.loc[gestmiss,'gestionnaire_site'] = 'CEN Isère'
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# operateur
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opmiss = site2023['operateur'].isna()
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site2023.loc[opmiss,'operateur'] = 'FCEN'
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# surf_libre_evolution_m2
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site2023['surf_libre_evolution_m2'] = site2023['surf_libre_evolution_m2'].fillna(0)
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# doc_gestion_presence
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site2023['doc_gestion_presence'] = site2023['doc_gestion_presence'].fillna(0)
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# doc_gestion_nom
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site2023['doc_gestion_nom']
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# doc_gestion_evaluation
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site2023['doc_gestion_evaluation']
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# doc_gestion_date_ini
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# site2023['doc_gestion_date_ini'] = pd.to_datetime(site2023['doc_gestion_date_ini'],yearfirst=True)
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site2023['doc_gestion_date_ini'] = update_date(site2023['doc_gestion_date_ini'])
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# doc_gestion_date_maj
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# site2023['doc_gestion_date_maj'] = pd.to_datetime(site2023['doc_gestion_date_maj'],yearfirst=True)
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site2023['doc_gestion_date_maj'] = update_date(site2023['doc_gestion_date_maj'])
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# doc_gestion_date_fin
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# site2023['doc_gestion_date_fin'] = pd.to_datetime(site2023['doc_gestion_date_fin'],yearfirst=True)
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site2023['doc_gestion_date_fin'] = update_date(site2023['doc_gestion_date_fin'])
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# surf_doc_gestion_m2
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site2023['surf_doc_gestion_m2'] = site2023['surf_doc_gestion_m2'].fillna(0)
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# url_fiche_inpn
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site2023['url_fiche_inpn']
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# url_fiche_cen
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site2023['url_fiche_cen']
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# doc_justif_admin
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site2023['doc_justif_admin']
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# ouverture_public
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site2023['ouverture_public']
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# description_site
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site2023['description_site']
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# url_site_photo
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site2023['url_site_photo']
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# sensibilite
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site2023['sensibilite']
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# remq_sensibilite
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site2023['remq_sensibilite']
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site2023.sort_values('id_site_cen',inplace=True)
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recueil_site.sort_values('id_site',inplace=True)
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for c in recueil_site.columns:
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if c not in site2023.columns: pass
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notna = recueil_site[c].notna()
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lstsite = recueil_site[notna].id_site.tolist()
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s_2023 = site2023.id_site_cen.isin(lstsite)
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r_2023 = recueil_site.id_site.isin(lstsite)
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site2023.loc[s_2023,c] = recueil_site[r_2023][c]
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# test_add = ~recueil_site.id_site.isin(site2023.id_site_cen)
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# add_site = recueil_site[test_add].rename(columns={
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# 'id_site':'id_site_cen'
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# })
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# SITE2023 = pd.concat([site2023,recueil_site[test_add]])
|
||||
|
||||
for c in site2023.columns:
|
||||
if site2023[c].dtype==float:
|
||||
try:
|
||||
site2023[c] = site2023[c].astype(int)
|
||||
except:
|
||||
pass
|
||||
|
||||
# Mise au format des dates
|
||||
date_cols = site2023.columns[site2023.columns.str.contains('date')]
|
||||
for c in date_cols:
|
||||
site2023[c] = pd.to_datetime(site2023[c],yearfirst=True).dt.strftime('%Y/%m/%d')
|
||||
# site2023[c] = site2023[c].dt.strftime('%Y/%m/%d')
|
||||
|
||||
|
||||
|
||||
shp2023 = site2023[['id_site_cen','id_site_fcen','date_crea_site','date_maj_site','geom']].copy()
|
||||
shp2023['date_maj_s'] = [
|
||||
shp2023.date_maj_site[i] if pd.notna(shp2023.date_maj_site[i]) else shp2023.date_crea_site[i] for i in shp2023.index
|
||||
]
|
||||
shp2023.drop(columns=['date_crea_site','date_maj_site'],inplace=True)
|
||||
shp2023.rename(columns={'id_site_fcen':'id_fcen'},inplace=True)
|
||||
|
||||
# Ecriture des fichiers finaux
|
||||
site2023.drop(columns=['geom','id_site','gestionnaire']).to_csv(path_source+receuil_path+tdb_sites_csv%annee,index=False)
|
||||
shp2023.to_file(
|
||||
(path_source+receuil_path+tdb_sites_csv[:-3]+'shp')%annee,
|
||||
index=False)
|
||||
# from pycen import update_to_sql,
|
||||
# site = get_site()
|
||||
# darp = site.code_site.isin(['DARN','PEYR'])
|
||||
# zi = site.type_zonage=='ZI'
|
||||
# zo = site.type_zonage=='ZO'
|
||||
# DARP = gpd.GeoDataFrame({
|
||||
# 'code_site':['DARP','DARP'],
|
||||
# 'type_zonage': ['ZI','ZO'],
|
||||
# },
|
||||
# geometry=[
|
||||
# site[darp&zi].unary_union,site[darp&zo].unary_union
|
||||
# ],crs=2154)\
|
||||
# .rename_geometry('geom')
|
||||
|
||||
|
||||
# DARP['surface_ha'] = round(DARP.area / 10000,2)
|
||||
# update_to_sql(cnpe,con,'c_sites_zonages','sites','code_site')
|
||||
Reference in New Issue
Block a user