55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
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import requests
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import pandas as pd
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from pathlib import Path
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import os
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basefile = "/Users/normrasmussen/Downloads/MizunoCompletions_with_PGAIDs.csv"
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api_key = "stXNF84HWL8aCGeRjHEo2rJ1U"
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uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
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group_url = "https://api.northpass.com/v2/groups/"
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headers = {
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"accept": "*/*",
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"x-api-key": api_key,
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"content-type": "application/json",
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}
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def load_file(basefile):
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row_dict = {}
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dict_list = []
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basefile = Path(basefile)
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completions = pd.read_csv(basefile)
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try:
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if os.path.isfile(basefile):
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print(f"File found! Importing {basefile}")
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for email in completions.itertuples():
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row_num = email[0]
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row_dict = {"row_num": row_num}
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email = email[3]
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url = uuid_url + f"{email}"
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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response = response.json()
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gid = response["data"][0]["relationships"]["groups"]["data"][0]["id"]
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url2 = group_url + f"{gid}"
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response = requests.get(url2, headers=headers)
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data = response.json()
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group_name = data["data"]["attributes"]["name"]
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row_dict["group"] = group_name
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dict_list.append(row_dict)
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except TypeError as e:
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pass
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finally:
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for info in dict_list:
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row = info['row_num']
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group = info['group']
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completions.loc[completions.index[row], "Group Name"] = group
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print(completions)
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completions.to_csv(
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"/Users/normrasmussen/Downloads/MizunoCompletions_with_PGAIDs.csv",
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index=False
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)
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if __name__ == "__main__":
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load_file(basefile)
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