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Notes: learn-fast-api

Notes when learning about fastApi - a Python web framework Along the way I am building a project :

### Customer Data Reconciliation ###

Functional Goals

Customer Data Reconciliation is about gathering Customer data from contributing sources and then perform a reconciliation based on parameters like : same SSN and/or same fullName + Birthdate etc Once reconciled then publish the information to Kafka and also publish derived events

representation of Customer Data

For the sake of simplicity and efficiency, I am modeling the data as flat dictionary it will consist of

  • Name: First Name, Middle Name, Last Name, preferred name, prev name, maiden Name
  • Identification: SSN, Birthdate, alt id 1, alt id 2
  • Phone : ph 1, ph 2, ph 3
  • eMail: primary eMail, secondary eMail
  • Address : address 1, address 2

Technical Goals

- API driven batch data import and export
- API driven real time sevices
- Pub-Sub modeling the application logic : Redis and Kafka
- Derived events publish via KSQL

Credits

There are many resources on the internet that are not listed here - ack and credit to them

links

Optional links

fonts mono : https://www.jetbrains.com/lp/mono/#how-to-install

WSL2 : include those fonts in the file

C:\Users\vamsi\AppData\Local\Packages\Microsoft.WindowsTerminalPreview_8wekyb3d8bbwe\LocalState\settings.json
"defaults": {
    // Put settings here that you want to apply to all profiles.
    "fontFace": "JetBrains Mono",
    "fontSize": 12
  },

Table of contents

chapter 01 - Fast API setup

chapter 02 - Web UI

chapter 03 - Redis infrastructure

  • set up redis on WSl2(Ubuntu)
  • ssh into it from windows terminal
  • pytest connectivity

prepare redis on windows

chapter 04 - About the project - Customer Data Reconciliation

  • About the goals of this project
  • ssh into it from windows terminal
  • pytest connectivity

prepare redis on windows

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