init depot renew

2026-09-22 11:58:57 +02:00
commit e9fa6a7309
205 changed files with 39721 additions and 0 deletions
@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+# -*- coding: UTF-8 -*-.
+
+import geopandas as gpd
+import pandas as pd
+from geoalchemy2 import Geometry
+from sqlalchemy.engine import URL
+from sqlalchemy import create_engine 
+import sys
+
+
+# Liste des sites
+lst_site = ['GOUT']
+
+# Suppression des champs souhaités
+delete = True
+lst_cols_del = ['geometrie','date_debut_obs']
+
+# Format d'extraction ['xls', 'xlsx', 'csv']
+FORMAT = 'xlsx'
+# Localistation du fichier de sortie
+OUTPUT = '~/Documents/tmp/Jean_Luc/'
+# Nom du fichier de sortie
+NAME_OUT = 'observation_site_GOUT'
+from pycen import con_sicen as engine_hom
+
+# Parametres bdd HOMER (out)
+schema_hom = 'saisie'
+table_hom  = 'saisie_observation'
+# engine_hom = create_engine('postgresql+psycopg2://{0}:{1}@{2}:{3}/{4}'.format(user_hom,pwd_hom,adr_hom,port_hom,base_hom), echo=False)
+
+# Parametres bdd BART (in)
+# BART ETEINT : OBSOLETE 
+adr_bart  = '192.168.0.3'
+port_bart = '5432'
+base_bart = 'bd_cen38'
+schema_bart = 'sites'
+table_bart = "c_sites_zonages"
+url_bart = URL.create('postgresql+psycopg2', 
+  username=user_bart,
+  password=pwd_bart,
+  host=adr_bart,
+  database=base_bart,
+)
+con_bart = create_engine(url_bart)
+# con_bart = create_engine('postgresql+psycopg2://{0}:{1}@{2}:{3}/{4}'.format(user_bart,pwd_bart,adr_bart,port_bart,base_bart), echo=False)
+
+epsg = '2154'
+crs  = 'EPSG:%s'%epsg
+
+
+
+sql = "SELECT geom FROM {sch}.{tab} WHERE code_site in ('{lst_site}') AND type_zonage = 'ZO'".format(sch=schema_bart, tab=table_bart, lst_site="','".join(lst_site))
+gdf_site = gpd.read_postgis(
+    sql = sql,
+    con = con_bart,
+)
+if gdf_site.shape[0] > 1 :
+    union  = gdf_site.geom.cascaded_union
+    Sunion = gpd.GeoSeries(union)
+    gdf_union = gpd.GeoDataFrame(Sunion, geometry='geom', columns=['geom'], crs=crs)
+    gdf_site = gdf_union
+
+
+sql = '''SELECT * FROM {sch}.{tab} WHERE ST_Intersects (geometrie, 'SRID={epsg};{poly}')'''.format(sch=schema_hom, tab=table_hom, epsg=epsg, poly=gdf_site.geom[0])
+gdf_saisie = gpd.read_postgis(
+    sql = sql,
+    con = engine_hom,
+    geom_col = 'geometrie'
+)
+
+df = pd.DataFrame(gdf_saisie)
+if delete:
+    df.drop(columns= lst_cols_del, inplace=True)
+
+if FORMAT in ['xls', 'xlsx']:
+    df.to_excel(OUTPUT + NAME_OUT + '.' + FORMAT)
+if FORMAT == 'csv':
+    df.to_file(OUTPUT + NAME_OUT + '.' + FORMAT)
+
+sys.exit('END')