xvnpw/ai-nutrition-pro-design-claude2

Research project on AI usage for threat modeling and security review and using Anthropic Claude 2

ai-nutrition-pro-design-claude2's Issues

User story: Store diet introductions

Store diet introductions

As Meal App, I want to store samples of diet introductions of dietitians, so that those can be later used to generate new diet introductions using ChatGPT..

Diagram

C4Container
    title Container diagram for User Story: Store diet introductions

    Container_Boundary(c0, "AI Nutrition-Pro") {
        Container(api_gateway, "API Gateway", "Kong", "Authentication of clients, filtering of input, rate limiting")
        Container(backend_api, "API Application", "Golang, AWS Elastic Container Service", "Provides AI Nutrition-Pro functionality via API")
        ContainerDb(api_db, "API database", "Amazon RDS", "Stores dietitian' content samples, request and responses to LLM.")
    }

    System_Ext(mealApp, "Meal Planner", "Application to create diets by dietitians")
   
    Rel(mealApp, api_gateway, "Stores dietitians' samples of diet introductions", "HTTPS/REST")
    Rel(api_gateway, backend_api, "Proxy from Meal Planner: Stores dietitians sample of diet introductions", "HTTPS/REST")
    Rel(backend_api, api_db, "Write sample of diet introductions to RDS instance", "TLS")

New API

New API to implement:

POST /api/v1/storeContent
{
  "type": "introduction",
  "dietitian-uuid": "3beddddb-d8f2-41a3-8b6e-38bf2a39a56c",
  "client-uuid": "47dba491-8a34-4bca-934b-b32532de975b",
  "content": [
    "Hi Mark. I created this diet for you. Hope you will love it :)",
    "Hi Joanna! Hope you are well. This 3 days diet will help you get started :)"
  ]
}

Parameters:

• type - REQUIRED, string - type of content. For now only one possible value: introduction
• dietitian-uuid - REQUIRED, uuid - id of dietitian already registered in AI Nutrition-Pro
• client-uuid - REQUIRED, uuid - id of client application, that is Meal App, generated at onboarding
• content - REQUIRED, NOT-EMPTY, list of strings - list of samples to store

Response

Positive response:

201 - Created
{
    "samples-uuid": "f0511554-0328-4222-a911-a57de6b7f100"
}

Error response:

If dietitian is not found using uuid provided in request:

400 - Bad request
{
    "error": "Cannot find dietitian of uuid: 3beddddb-d8f2-41a3-8b6e-38bf2a39a56c"
}

Storage

Samples will be stored in API Database, which is AWS RDS instance. In table called SAMPLES.

SAMPLES table will have following columns:

• uuid - uuid of samples, PRIMARY KEY
• client-uuid - id of client application, that is Meal App, generated at onboarding, NOT EMPTY
• type - type of content. For now only one possible value: introduction, VARCHAR, NOT EMPTY
• dietitian-uuid - id of dietitian already registered in AI Nutrition-Pro, NOT EMPTY
• content - serialized JSON string, TEXT, NOT EMPTY

Tasks

Here is detailed breakdown of this story into tasks:

• update Swagger API description file with new API
• implement API in API Application
• create new table in API Database and update IAM policy used by API Application for access control of it
• update API definition (allow new API usage) in API Gateway