RDOO/osm_vc63/utils.py

138 lines
4.4 KiB
Python

#!/usr/bin/env python3
import json
import requests
from pyexcel_ods3 import save_data
from collections import OrderedDict
from osm_vc63 import errors
class Utils:
overpass_url: str
geo_api_url: str
dossier_sauvegarde: str
def __init__(self, overpass_url, geo_api_url, dossier_sauvegarde):
self.overpass_url = overpass_url
self.geo_api_url = geo_api_url
self.dossier_sauvegarde = dossier_sauvegarde
def save_as_ods(self, fields, data, nom_req):
"""Sauvegarde de data dans un classeur ods"""
ODSdataSheet = OrderedDict()
ODSdata = []
ODSdata.append(fields.keys())
index_line = 2
for element in data["elements"]:
line = []
index_col = 0
for field in fields.keys():
if field in element["tags"]:
if field == "capacity":
val = element["tags"][field]
line.append(int(val) if val.isdigit() else val)
else:
line.append(element["tags"][field])
else:
line.append("")
index_col = index_col + 1
ODSdata.append(line)
index_line = index_line + 1
ODSdataSheet.update({"resultats": ODSdata})
save_data(self.dossier_sauvegarde + nom_req + ".ods", ODSdataSheet)
print("Sauvegarde résultats format ODS pour " + nom_req)
def save_as_json(self, export_json, nom_req):
"""Enregistrement du JSON"""
jsonFile = open(self.dossier_sauvegarde + nom_req + ".json", "w")
jsonFile.write(json.dumps(export_json))
jsonFile.close()
print("Sauvegarde résultat format JSON/OSM " + nom_req)
def nettoyage_json_pour_umap(self, data, overpass_query_fields):
"""Sélection uniquement des champs export_json == oui"""
export_json = {
"version": data["version"],
"generator": data["generator"] + " and ETALAB API",
"osm3s": data["osm3s"],
"elements": [],
}
index_line = 0
for element in data["elements"]:
export_json["elements"].append(
{"type": element["type"], "id": element["id"]}
)
# positionnement des éléments
if element["type"] == "node": # noeuds
export_json["elements"][index_line]["lat"] = element["lat"]
export_json["elements"][index_line]["lon"] = element["lon"]
else: # ways et relations
export_json["elements"][index_line]["center"] = element["center"]
export_json["elements"][index_line]["nodes"] = element["nodes"]
# filtrage des tags
description = ""
for tag in overpass_query_fields.keys():
if overpass_query_fields[tag]["export_json"] == "Oui":
if tag in element["tags"]:
if overpass_query_fields[tag]["FR"] != "":
description = (
description + overpass_query_fields[tag]["FR"] + " : "
)
description = description + str(element["tags"][tag]) + "\n"
export_json["elements"][index_line]["tags"] = {"description": description}
index_line = index_line + 1
return export_json
def run_overpass_query(self, critere, aire_de_recherche):
"""Envoie la requête Overpass et retourne la réponse JSON."""
overpass_query = (
"""[out:json];
(
"""
+ critere
+ """
);
out center;
"""
)
overpass_query = overpass_query.replace("aire_de_recherche", aire_de_recherche)
print("Execution requete overpass : \n" + overpass_query)
response = requests.get(self.overpass_url, params={"data": overpass_query})
if response.status_code != 200:
raise errors.OverpassError(response.status_code)
return response.json()
def run_reverse_geocoding(self, lat, lon):
"""Retourne une adresse JSON à partir d'une position GPS."""
url = self.geo_api_url + "/reverse/"
response = requests.get(url, params={"lon": str(lon), "lat": str(lat)})
if response.status_code != 200:
raise errors.GeoApiError(response.status_code)
return response.json()