extraction du géocodage et traduction vers utils
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@ -118,7 +118,7 @@ class Utils:
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)
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overpass_query = overpass_query.replace("aire_de_recherche", aire_de_recherche)
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print("Execution requete overpass : \n" + overpass_query)
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# print("Execution requete overpass : \n" + overpass_query)
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response = requests.get(self.overpass_url, params={"data": overpass_query})
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if response.status_code != 200:
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@ -137,3 +137,74 @@ class Utils:
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raise errors.GeoApiError(response.status_code)
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return response.json()
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# TODO : optimiser en faisant un appel au service /reverse/csv/ plutot que le service unitaire /reverse/
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def geocodage(self, data):
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"""Renseigne une adresse pour chaque élément de data"""
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for element in data["elements"]:
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if element["type"] == "node":
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rev_geocode = self.run_reverse_geocoding(element["lat"], element["lon"])
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else:
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rev_geocode = self.run_reverse_geocoding(
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element["center"]["lat"], element["center"]["lon"]
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)
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api_adresse = rev_geocode["features"][0]
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element["tags"]["api_adresse:geometry:coordinates:lon"] = api_adresse[
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"geometry"
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]["coordinates"][0]
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element["tags"]["api_adresse:geometry:coordinates:lat"] = api_adresse[
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"geometry"
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]["coordinates"][1]
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element["tags"]["api_adresse:properties:label"] = api_adresse["properties"][
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"label"
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]
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element["tags"]["api_adresse:properties:score"] = api_adresse["properties"][
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"score"
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]
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if "housenumber" in api_adresse["properties"]:
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element["tags"]["api_adresse:properties:housenumber"] = api_adresse[
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"properties"
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]["housenumber"]
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element["tags"]["api_adresse:properties:type"] = api_adresse["properties"][
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"type"
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]
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element["tags"]["api_adresse:properties:name"] = api_adresse["properties"][
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"name"
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]
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element["tags"]["api_adresse:properties:postcode"] = api_adresse[
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"properties"
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]["postcode"]
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element["tags"]["api_adresse:properties:citycode"] = api_adresse[
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"properties"
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]["citycode"]
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element["tags"]["api_adresse:properties:city"] = api_adresse["properties"][
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"city"
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]
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if "street" in api_adresse["properties"]:
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element["tags"]["api_adresse:properties:street"] = api_adresse[
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"properties"
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]["street"]
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element["tags"]["api_adresse:properties:attribution"] = rev_geocode[
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"attribution"
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]
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element["tags"]["api_adresse:properties:licence"] = rev_geocode["licence"]
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return data
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def traduction(self, tag, dictionnaire, data):
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"""Traduit le champ tag des éléments de data avec dict"""
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for element in data["elements"]:
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if tag in element["tags"]:
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element["tags"][tag] = dictionnaire[element["tags"][tag]]
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return data
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@ -43,14 +43,11 @@ RETRY_DELAY = 120
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# id Riom : 1693144
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# id Clermont : 110866
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# id Romagnat : 138269
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# l'id de l'area se calcule en ajoutant 3600000000 au numéro de l'objet OSM
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AIRE_DE_RECHERCHE = str(3600000000 + 110866)
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# ----------------------------------------------
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trad_bicycle_parking = {
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# traductions des tags bicycle_parking
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TRAD_BICYCLE_PARKING = {
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"stands": "Arceaux",
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"wall_loops": "Pince roues",
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"rack": "Râteliers",
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@ -73,91 +70,30 @@ trad_bicycle_parking = {
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}
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def executer_requete_et_exporter_resultats(
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nom_req, critere, aire_de_recherche, overpass_query_fields
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):
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"""
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Appelle Overpass et exporte les résultats
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nom_req : nom de la requête (type d'informations recherchées)
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critere : requête passée à Overpass
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aire_de_recherche : zone géographique d'intérêt
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overpass_query_fields : champs récupérés pour la réponse
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"""
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utils = Utils(OVERPASS_URL, GEO_API_URL, DOSSIER_SAUVEGARDE)
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data = utils.run_overpass_query(critere, aire_de_recherche)
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nb_elements = len(data["elements"])
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print("Nombre d'elements : " + str(nb_elements))
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"""
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print("Géocodage inversé : ", end="", flush=True)
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# @TODO : optimiser en faisant un appel au service /reverse/csv/ plutot que le service unitaire /reverse/
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for element in data["elements"]:
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if (element["type"] == "node") :
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rev_geocode = run_reverse_geocoding(element["lat"], element["lon"])
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else :
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rev_geocode = run_reverse_geocoding(element["center"]["lat"], element["center"]["lon"])
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api_adresse = rev_geocode["features"][0]
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element["tags"]["api_adresse:geometry:coordinates:lon"] = api_adresse["geometry"]["coordinates"][0]
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element["tags"]["api_adresse:geometry:coordinates:lat"] = api_adresse["geometry"]["coordinates"][1]
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element["tags"]["api_adresse:properties:label"] = api_adresse["properties"]["label"]
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element["tags"]["api_adresse:properties:score"] = api_adresse["properties"]["score"]
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if ("housenumber" in api_adresse["properties"]) :
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element["tags"]["api_adresse:properties:housenumber"] = api_adresse["properties"]["housenumber"]
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element["tags"]["api_adresse:properties:type"] = api_adresse["properties"]["type"]
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element["tags"]["api_adresse:properties:name"] = api_adresse["properties"]["name"]
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element["tags"]["api_adresse:properties:postcode"] = api_adresse["properties"]["postcode"]
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element["tags"]["api_adresse:properties:citycode"] = api_adresse["properties"]["citycode"]
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element["tags"]["api_adresse:properties:city"] = api_adresse["properties"]["city"]
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if ("street" in api_adresse["properties"]) :
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element["tags"]["api_adresse:properties:street"] = api_adresse["properties"]["street"]
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element["tags"]["api_adresse:properties:attribution"] = rev_geocode["attribution"]
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element["tags"]["api_adresse:properties:licence"] = rev_geocode["licence"]
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# traduction
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if "bicycle_parking" in element["tags"]:
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element["tags"]["bicycle_parking"] = trad_bicycle_parking[element["tags"]["bicycle_parking"]]
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print("X", end="", flush=True)
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#else :
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# print("-", end="", flush=True)
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print()
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"""
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export_json = utils.nettoyage_json_pour_umap(data, overpass_query_fields)
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# Sauvegarde
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os.makedirs(DOSSIER_SAUVEGARDE, exist_ok=True)
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utils.save_as_json(export_json, nom_req)
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utils.save_as_ods(overpass_query_fields, data, nom_req)
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def main():
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"""Routine principale"""
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for req in requetes.REQS:
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for nb_essai in range(MAX_RETRY): # on tente max_retry fois
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try:
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executer_requete_et_exporter_resultats(
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req.nom, req.critere, AIRE_DE_RECHERCHE, req.champs
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)
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utils = Utils(OVERPASS_URL, GEO_API_URL, DOSSIER_SAUVEGARDE)
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# appel overpass
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data = utils.run_overpass_query(req.critere, AIRE_DE_RECHERCHE)
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# géocodage inverse
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data = utils.geocodage(data)
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# traduction
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data = utils.traduction("bicycle_parking", TRAD_BICYCLE_PARKING, data)
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# Sauvegarde
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os.makedirs(DOSSIER_SAUVEGARDE, exist_ok=True)
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export_json = utils.nettoyage_json_pour_umap(data, req.champs)
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utils.save_as_json(export_json, req.nom)
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utils.save_as_ods(req.champs, data, req.nom)
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break
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except errors.ApiError:
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