57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
import pprint
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import requests
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import Apikeys
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# import pandas as pd
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APIKEY = Apikeys.ANTHOLOGY
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URL = "https://api.northpass.com/v1/media"
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pp = pprint.PrettyPrinter(indent=4)
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def getMedia(APIKEY, URL):
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count = 0
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list_data = []
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scorm_ids = []
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while True:
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count+=1
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headers = {"accept": "application/json", "X-Api-Key": APIKEY}
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URL = f"{URL}?limit=100&page={count}"
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response = requests.get(URL, headers=headers)
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datas = response.json()
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nextlink = datas["links"]
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pp.pprint(datas)
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for data in datas["data"]:
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print(data)
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file_type = data["attributes"]["file_type"]
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file_name = data["attributes"]["file_name"]
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created_date = data["attributes"]["created_at"]
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file_size = data["attributes"]["file_size"]
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id_val = data["id"]
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data_dict = { "media_uuid": id_val,
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"file_name": file_name,
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"file_type": file_type,
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"created_at": created_date,
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"file_size": file_size
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}
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# id_val, created_date, file_name)
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list_data.append(data_dict)
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# if "2024-03-12" in created_date:
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# if "scorm" in file_type:
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if "next" not in nextlink:
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break
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# pp.pprint(list_data)
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# print(len(list_data))
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toCsv(list_data)
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# def toCsv(json):
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# js = pd.DataFrame.from_records(json)
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# # js = pd.json_normalize(json, "data", ["data"])
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# # csv = pd.Series(js)
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# js.to_csv("/Users/normrasmussen/Downloads/sps-media-lib.csv")
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if __name__ == "__main__":
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getMedia(APIKEY, URL)
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