import requests
import pandas as pd
from pathlib import Path
import os

basefile = "/Users/normrasmussen/Downloads/mizuno-march-completions.csv"
api_key = "stXNF84HWL8aCGeRjHEo2rJ1U"
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",
        }
drop_rows = []

def load_file(basefile):
    try:
        if os.path.isfile(basefile):
            basefile = Path(basefile)
            print(f"File found! Importing {basefile}")
            completions = pd.read_csv(basefile)
            for email in completions.itertuples():
                row_num = email[0]
                email = email[3]
                print(email)
                url = uuid_url + f"{email}"
                response = requests.get(url, headers=headers)
                if response.status_code == 200:
                    print("Fetching person found!")
                    response = response.json()
                    uuid = response["data"][0]["id"]
                    url2 = prop_url + f"{uuid}"
                    response = requests.get(url2, headers=headers)
                    data = response.json()
                    pgaid = data["data"]["attributes"]["properties"]["account_number"]
                write_to_csv(pgaid, row_num, completions)
    except KeyError as e:
        print(e)
    finally:
        pass

def write_to_csv(pgaid, row_num, completions):
    print(pgaid)
    try:
        completions.loc[completions.index[row_num], "PGA ID"] = pgaid
    except (TypeError, KeyError) as e:
        print(e)
    finally:
        pass
        #completions.drop(completions["PGA ID"] == "0")
        print("the end?")
        print(completions)


if __name__ == "__main__":
    load_file(basefile)