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

basefile = "/Users/normrasmussen/Downloads/ts-mca.csv"
api_key = Apikeys.TALKSPACE_1099
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",
}
LISTDICT = ts_lstdict.LISTDICT


def load_file(basefile):
    dict_list = []
    row_dict = {}
    basefile = Path(basefile)
    completions = pd.read_csv(basefile)
    curr_index = 0
    parsed_list = []
    try:
        if os.path.isfile(basefile):
            print(f"File found! Importing {basefile}")
            for email in completions.itertuples():
                row_num = email[0]
                name = email[1]
                email = email[3]
                row_dict = {
                    "row_num": row_num,
                    "name": name,
                    "userid": "",
                    "email": email,
                }
                dict_list.append(row_dict)
            print(len(dict_list))
            tempdf = pd.DataFrame(dict_list)
            tempdf.drop_duplicates(subset=["name"], keep="first", inplace=True)
            dict_list = tempdf.to_dict("records")
            print(len(dict_list))
    except KeyError as e:
        print(f"{e} Error")
    finally:
        make_calls(dict_list)


def make_calls(dict_list):
    final_list = []
    for row_dict in dict_list:
        name = row_dict["name"]
        url = uuid_url + f"{row_dict['email']}"
        response = requests.get(url, headers=headers)
        print(f"running api call for {name}")
        if response.status_code == 200:
            response = response.json()
            try:
                uuid = response["data"][0]["id"]
                url2 = prop_url + f"{uuid}"
                response = requests.get(url2, headers=headers)
                data = response.json()
                userid = data["data"]["attributes"]["properties"]["user_id"]
                row_dict["userid"] = userid
            except IndexError as e:
                print(f"{e} Second error!")
            finally:
                pass
            if row_dict["userid"] is None:
                pass
            else:
                final_list.append(row_dict)
            print(len(final_list))

def add_to_csv(LISTDICT):
    completions = pd.read_csv(basefile)
    for info in LISTDICT:
        print(info)
        row = info["name"]
        pid = info["userid"]
        # print(f"PID IS {pid}")
        completions.loc[completions.index[row], "userid"] = pid
    #completions = completions[completions["userid"] != "0"]
    # completions = completions.iloc[:, 0:]
    print(completions)
    completions.to_csv(
          "/Users/normrasmussen/Downloads/Talkspace1099-Completions-All-IDS.csv",
          index=False,
      )


if __name__ == "__main__":
    # load_file(basefile)
    add_to_csv(LISTDICT)