====== Kundenseite ======

  - Coaching Produkt Anlegen
  - Verkauf von Coaching Pordukt
  - anpssen von Coaching Produkten
  - Abschließen eines Abos
  - Kündigen eines Abos
  - Hochalden von Dokumenten
  - AGB's anpassen
  - Verkaufsseite anpassen


====== Firmenseite ======

  - Newsletterversand
  - Nutzerbasierter E-Mail versand (Kundenbindung)
  - update depolyment
  - Server bezahlen

====== Einzelnde Prozesse ======

==== PW-Rest ====

**Mailjet(Send API) + Netcup (Mail)**

  * https://my-coach-finder.de/reset-password?app=true
  * wenn gefunden: https://my-coach-finder.de/reset-password-msg

All mails sent to **MySQL** → **Mailjet**  
Mail addresses by **Netcup**

  - **1.)** Application receives signal for mail sending  
  - **2.)** Application sends an entry with all necessary information to MySQL  
  - **3.)** Mail server checks at intervals (e.g., every 30 seconds) if there is an entry in MySQL  
  - **4a.)** If Yes:  
    → proceed to step 5.  
  - **4b.)** If No:  
    → go back to step 3.  
  - **5.)** Send API request to Mailjet  
  - **6.)** Mail server confirms status in MySQL


====== Print ======

<file bash Print>

#normal print
#only see in "gunicorn -w 4 'app:app'" or simalar
#only temp. for debug - remove after coding session
print("")

#print via telegram
#common
#in feedback_helper.py
#use:
from feedback_helper import write_output
write_output(*args)

</file>

====== Transactional E-Mail ======

''Newsletter will in any time org. extern''

<file bash Transactional E-Mail>
#via mailgun
# to do: Python Intreation + Call
</file>


====== Analyse ======

<file bash Mixpanel>
#init
from mixpanel import Mixpanel
from config import MIXPANEL_PRO_KEY, MIXPANEL_RETRY_LIMIT
mp = Mixpanel(MIXPANEL_PRO_KEY, MIXPANEL_RETRY_LIMIT)
#use:
#https://docs.mixpanel.com/docs/tracking-methods/sdks/python
#in json can be all free use
mp.track('USER_ID', 'some_event', {
    'plan': 'premium'
})
</file>


====== AI/KI ======

<file bash Deepseek & Chatgpt>
#in ai_handler.py

#init
from ai_handler import deepseek_prompt_to_text
from ai_handler import chatgpt_promt_to_text

#use
res_text_only = deepseek_prompt_to_text(promt)
res_text_only = chatgpt_promt_to_text(promt)
</file>