import pprint
import requests
import Apikeys
# import pandas as pd

APIKEY = Apikeys.ANTHOLOGY
URL = "https://api.northpass.com/v1/media"
pp = pprint.PrettyPrinter(indent=4)


def getMedia(APIKEY, URL):
    count = 0
    list_data = []
    scorm_ids = []
    while True:
        count+=1
        headers = {"accept": "application/json", "X-Api-Key": APIKEY}
        URL = f"{URL}?limit=100&page={count}"
        response = requests.get(URL, headers=headers)
        datas = response.json()
        nextlink = datas["links"]
        pp.pprint(datas)

        for data in datas["data"]:
            print(data)
            file_type = data["attributes"]["file_type"]
            file_name = data["attributes"]["file_name"]
            created_date = data["attributes"]["created_at"]
            file_size = data["attributes"]["file_size"]
            id_val = data["id"]
            data_dict = { "media_uuid": id_val,
                        "file_name": file_name,
                         "file_type": file_type,
                         "created_at": created_date,
                         "file_size": file_size
                         }
            # id_val, created_date, file_name)
            list_data.append(data_dict)
            # if "2024-03-12" in created_date:
            #     if "scorm" in file_type:
        if "next" not in nextlink:
            break

        # pp.pprint(list_data)
        # print(len(list_data))
    toCsv(list_data)

# def toCsv(json):
#     js = pd.DataFrame.from_records(json)
#     # js = pd.json_normalize(json, "data", ["data"])
#     # csv = pd.Series(js)
#     js.to_csv("/Users/normrasmussen/Downloads/sps-media-lib.csv")


if __name__ == "__main__":
    getMedia(APIKEY, URL)