import base64
import os
import rsa
from datetime import date
import secrets
import string
import requests
import json

def generate_token_id(length):
    characters = string.ascii_letters + string.digits # + string.punctuation
    token = ''.join(secrets.choice(characters) for _ in range(length))
    return token

# Examples for what will be generated
# 5!bA9H2f1q^...
# Xe7uM$4d9@...
# &3yTb1*8Z#...
# %pWqN7!6zX...
# @9oV!s6Rd2...

def get_today_date():
    today = date.today()
    return str(today)

# Example for what will be returned
# 2023-06-29

def generate_request(data):
    url = 'http://ipygg-api-test-env.ap-east-1.elasticbeanstalk.com/SBT'

    pubkey_path = os.path.join(os.path.dirname(__file__), '..', 'pubkey.pem')

    with open(pubkey_path, 'rb') as f:
        pubKey = rsa.PublicKey.load_pkcs1(f.read())

    for key, value in data.items():
        value_bytes = value.encode("utf-8")
        encrypted_value = rsa.encrypt(value_bytes, pubKey)
        encoded_value = base64.b64encode(encrypted_value)
        data[key] = encoded_value

    # Write the encrypted and encoded values to a file
    with open("sbt_request.txt", "w") as f:
        for key, value in data.items():
            f.write(f"{key}: {value}\n\n")
            
    # posting Json file to api
    r = requests.post(url, data=data)
    print(r.json)


def split_data(data):
    # request_id = "request1234"
    # token_id = "12344321"

    # f = open('data1.txt', 'r')
    # with open('data1.txt') as f:
    #     data_raw = f.read()
    #     data = json.loads(data_raw)

    if "avg_score" not in data.keys():
        data["avg_score"] = "0"
    elif "similarity_score" not in data.keys():
        data["similarity_score"] = "0"

    sbt_data = {
        "endpoint": "SBT",
        "apiType": "store_img_verif",
        "requestId": "request_id_1234",
	    "userId": "1001001", # a string
        "date": get_today_date(), # a string
        "docType": "HKID",
        "nameDoc": data["name_on_id"], # a string; lower case with space separate; e.g. san chi nan
        "docID": data["hkid"], # a string; with bracket (); e.g. G908833(1)
        "docValidity": data["validity"], # a string; "True" or "False"
        "dateOfIssue": data["issue_date"], # a string; month-year; e.g. 07-81
        "matchingScore": str(data["similarity_score"]), # a string; e.g. "0.957"
        "bank":str(data["bank"]), # 
        "nameStatement":str(data["nameStatement"]), # 
        "address":str(data["address"]), # 
        "asset": str(data["totalAsset"]), # a string containing only numbers
        "liability": str(data["totalLiability"]), # a string containing only numbers
        "statementDate": str(data["statementDate"]), # a string
        "chineseName": data["chi_name_id"] # a string
    }
    
    generate_request(sbt_data)


# sbt_data = {
#     "endpoint": "SBT",
#     "apiType": "store_img_verif",
#     "requestId": "request_id_1234",
#     "date": get_today_date(), # a string
#     "docType": "HKID",
#     "nameDoc": "Lau", # a string; lower case with space separate; e.g. san chi nan
#     "docID": "A1234456", # a string; with bracket (); e.g. G908833(1)
#     "docValidity": "01012023", # a string; "True" or "False"
#     "dateOfIssue": "01012000", # a string; month-year; e.g. 07-81
#     "matchingScore": "0.87", # a string; e.g. "0.957"
#     "bank":"hsbc", # 
#     "nameStatement":"lau", # 
#     "address":"33A TML Tower Tsuen Wan", # 
#     "asset": "0", # a string containing only numbers
#     "liability": "0", # a string containing only numbers
#     "statementDate": "01062023", # a string
# }