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Gainsight/Scripts/API_Tests/add-pgaids.py

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import requests
import pandas as pd
from pathlib import Path
import Apikeys
import os
from datetime import datetime
basefile = "/Users/normrasmussen/Downloads/mizunojune2025.csv"
api_key = Apikeys.MIZUNO
uuid_url = "https://api.northpass.com/v2/people?filter[email][eq]="
prop_url = "https://api.northpass.com/v2/properties/people/"
headers = {
"accept": "*/*",
"x-api-key": api_key,
"content-type": "application/json",
}
THIS_MONTH_YEAR = datetime.now().strftime('%B%Y')
def load_file(basefile):
dict_list = []
row_dict = {}
basefile = Path(basefile)
completions = pd.read_csv(basefile)
try:
if os.path.isfile(basefile):
print(f"File found! Importing {basefile}")
for email in completions.itertuples():
row_num = email[0]
row_dict = {"row_num": row_num}
email = email[3]
print(email)
url = uuid_url + f"{email}"
response = requests.get(url, headers=headers)
if response.status_code == 200:
response = response.json()
uuid = response["data"][0]["id"]
url2 = prop_url + f"{uuid}"
response = requests.get(url2, headers=headers)
data = response.json()
userid = data["data"]["attributes"]["properties"]["account_number"]
row_dict["userid"] = userid
dict_list.append(row_dict)
print("No errors! Passing along the dictionary!")
except KeyError as e:
print(f"{e} and the rest")
finally:
for info in dict_list:
row = info["row_num"]
pid = info["userid"]
print(f"PID IS {pid}")
completions.loc[completions.index[row], "userid"] = pid
completions = completions[completions["userid"] != "0"]
# completions = completions.iloc[:, 0:]
completions.to_csv(
f"/Users/normrasmussen/Downloads/Mizuno-LP-{THIS_MONTH_YEAR}-with-PGAID.csv",
index=False,
)
if __name__ == "__main__":
load_file(basefile)