88 lines
2.8 KiB
Python
88 lines
2.8 KiB
Python
import json
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import requests
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# lit un json listant les id de photo de chaque séquence et va
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# chercher la séquence par API.
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import argparse
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def parse_args(argv =None):
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parser = argparse.ArgumentParser()
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parser.add_argument('--username', type=str, help='Username to get the sequences id of')
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parser.add_argument('--dev_token', type=str, help='Your mapillary developer token')
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parser.add_argument('--max_sequence', type=str, help='Username to get the sequences id of')
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global args
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args = parser.parse_args(argv)
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print(args)
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# Initialisation de la liste pour stocker les réponses
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responses = []
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sequences = []
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def get_image_data_from_sequences():
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username = args.username
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input_file = "out_"+username+".json"
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# Chargement du fichier JSON d'entrée
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with open(input_file, "r") as file:
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input_data = json.load(file)
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# Itération sur les noeuds pour collectionner les image_ids
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nodelist = input_data["data"]["fetch__User"]["feed"]["nodes"]
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print( 'séquences : ', len(nodelist))
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image_ids = [node["image_id"] for node in nodelist]
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print(image_ids)
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dev_token = args.dev_token
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# Préparation de la tête d'autorisation pour toutes les futures requêtes
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header = {"Access-Token": dev_token}
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ii=0
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limit_requests = 1000000000
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# limit_requests = 5 # pour tester
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# Boucle sur chaque image_id pour interroger l'API Mapillary
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for image_id in image_ids:
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ii+=1
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if limit_requests >= ii and image_id:
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params = {"id": image_id, "fields": "id,sequence"}
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request_url = "https://graph.mapillary.com/" + str(image_id)+"?access_token="+dev_token+"&fields=id,sequence"
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response = requests.get(request_url)
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# Analyse de la réponse
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parsed_response = {}
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if response.ok and response.status_code == 200:
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raw_response = response.json()
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parsed_response["id"] = raw_response["id"]
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parsed_response["sequence"] = raw_response["sequence"]
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sequences.append(parsed_response["sequence"])
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print("séquence trouvée: "+str(ii)+"/"+args.max_sequence+" : "+raw_response["sequence"])
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else:
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print(response)
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responses.append(parsed_response)
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def persist_files():
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# Sauvegarde des nouveaux résultats dans le fichier output.json
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output_file = "sequences_"+args.username+".json"
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with open(output_file, "w") as file:
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json.dump(responses, file)
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sequence_filename = "sequences_"+args.username+".txt"
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with open(sequence_filename, "w") as file:
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json.dump(sequences, file)
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print('fichier sauvegardé: '+sequence_filename)
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parse_args()
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get_image_data_from_sequences()
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persist_files()
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# si la requete donne moins du max de noeuds on prévoit d'en relancer une nouvelle pour avoir la suite
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