Feature new test user data (#88)

* Create auto_setup_fake_account.py

not good API

* new_test_user_data

neo_dolfin/api/auto_grab_trans_data.py

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+from API import Core, Data
+import os
+from dotenv import load_dotenv
+import json
+import pandas as pd
+import matplotlib.pyplot as plt
+
+load_dotenv()
+API_KEY = os.getenv("API_KEY")
+user_id = os.getenv("user_id")
+
+api_key = API_KEY
+core_instance = Core(api_key)
+data_instance = Data()
+
+access_token = core_instance.get_auth_token()
+
+transactions = data_instance.get_transactions(user_id, access_token)
+
+tran_data = json.loads(transactions)
+
+transaction_list = tran_data['data']
+
+transactions = []
+for transaction in transaction_list:
+    transaction = {
+        'type': transaction['type'],
+        'id': transaction['id'],
+        'status': transaction['status'],
+        'description': transaction['description'],
+        'amount': transaction['amount'],
+        'account': transaction['account'],
+        'balance': transaction['balance'],
+        'direction': transaction['direction'],
+        'class': transaction['class'],
+        'institution': transaction['institution'],
+        'postDate': transaction['postDate'],
+        'subClass_title': transaction['subClass']['title'] if transaction.get('subClass') else None,
+        'subClass_code': transaction['subClass']['code'] if transaction.get('subClass') else None
+    }
+    transactions.append(transaction)
+
+# Create a DataFrame from the extracted data
+transaction_df = pd.DataFrame(transactions)
+transaction_df.to_csv('user7.csv', index=False)
+
+transaction_df['postDate'] = pd.to_datetime(transaction_df['postDate'])
+transaction_df.sort_values(by='postDate', inplace=True)
+plt.figure(figsize=(10, 6))
+plt.plot(transaction_df['postDate'], transaction_df['balance'], marker='o')
+plt.title('Balance vs. Time')
+plt.xlabel('Date')
+plt.ylabel('Balance')
+plt.show()

neo_dolfin/api/auto_setup_fake_account.py

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+import os
+import requests
+from dotenv import load_dotenv
+import webbrowser
+
+load_dotenv()
+API_KEY = os.getenv("API_KEY")
+PHONE = os.getenv("PHONE")
+
+
+class Fake:
+    def __init__(self, api_key):
+        self.api_key = api_key
+
+    def get_auth_token(self):
+        url = "https://au-api.basiq.io/token"
+        headers = {
+            "accept": "application/json",
+            "basiq-version": "3.0",
+            "content-type": "application/x-www-form-urlencoded",
+            "Authorization": "Basic " + self.api_key
+        }
+
+        response = requests.post(url, headers=headers)
+        response_data = response.json()  # Extract JSON content from the response
+
+        auth_token = response_data["access_token"]  # Get the access token from the JSON data
+        return auth_token
+
+    @staticmethod
+    def create_fake_user(mobile, access_token):
+        url = "https://au-api.basiq.io/users"
+
+        payload = {
+            "email": "[email protected]",
+            "mobile": mobile,
+            "firstName": "Wentworth",
+            "lastName": "Smith"
+        }
+        headers = {
+            "accept": "application/json",
+            "content-type": "application/json",
+            "authorization": "Bearer " f"{access_token}"
+        }
+
+        response = requests.post(url, json=payload, headers=headers)
+        response_data = response.json()
+        return response_data.get('id')
+
+    @staticmethod
+    def connect_fake_account(user_id, mobile, access_token):
+        url = f"https://au-api.basiq.io/users/{user_id}/auth_link"
+
+        payload = {
+            "mobile": mobile
+        }
+        headers = {
+            "accept": "application/json",
+            "content-type": "application/json",
+            "authorization": "Bearer " f"{access_token}"
+        }
+
+        response = requests.post(url, json=payload, headers=headers)
+        response_data = response.json()
+        return response_data.get('links').get('self')
+
+
+load_dotenv()
+API_KEY = os.getenv("API_KEY")
+MOBILE = os.getenv("MOBILE")
+api_key = API_KEY
+mobile = MOBILE
+fake_instance = Fake(api_key)
+
+access_token = fake_instance.get_auth_token()
+user_id = fake_instance.create_fake_user(mobile, access_token)
+link = fake_instance.connect_fake_account(user_id, mobile, access_token)
+webbrowser.open(link)
+
+# Highly recommend use dashboard directly

neo_dolfin/static/data/new_data/UserInformation.md

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+# User Information
+
+| User | Details                                                      |
+| :--- | :----------------------------------------------------------- |
+| 1    | Happy path persona with steady income, mortgage, credit card and predictable expenses |
+| 2    | Persona with income, missing expenses, BNPL activity and balance going up over time |
+| 3    | Persona with balances ranging between stable and diminishing over time |
+| 4    | Standard                                                     |
+| 5    | Standard                                                     |
+| 6    | Standard                                                     |
+| 7    | HooliGov Bank (AU00004)                                      |