Remove DB-related files.

README.md

@@ -9,11 +9,9 @@
 Marcel Know How Backend Project
 ===============================
 This projects holds the backend functionality for Marcel's know how session.
-
 The backend provides an API to query general knowledge questions to be used in a quiz game.
 
 
-
 # Local Development Environment
 
 ## Using Visual Studio Code
@@ -36,7 +34,6 @@ Install the dependencies with:
 pip install -r requirements.txt
 ```
 
-
 # Shipping
 ## Local Docker Environment
 Local Docker image build:
@@ -59,56 +56,7 @@ docker buildx build \
 Push manually build image to registry
 Use `docker push jnicontainerregistry.azurecr.io/marcel_knowhow_backend:latest` to push the image to the registry.
 
-## Continuous Integration and Deployment with GitHub Actions
-The project comes with a GitHub Actions workflow to build and push the image to the Azure Container Registry (see `./.github/workflows/backend.yaml`).
-
-
-# Database
-The backend projects relies on a neo4j database to store the questions and answering results.
-All database related files are located in the `./db` folder.
-
-## Import of Questions
-To collect and import questions to the database the python script at 
-`./db/questions_input/create_questions.py` is doing the job.
-This script is  
-- Querying questions from the OpenAI GPT-4 model
-- Writes the question in JSON file
-- Reads the JSON file and creates a cypher import file for neo4j
+![Ingress Configuration](./images/backend_ingress.png)
 
-The cypher import file will be written to `./db/docker_image/import/questsions_import.cypher`.
-To run the script you have to provide a valid OpenAI API key in a `.env` file in the project's root.
-
-Example for `.env` file:
-```
-openai.api_key=<YOUR_KEY>
-```
-The database Dockerfile in `./db/docker_image/Dockerfile` will take the import file to create
-the containing questions as new nodes in the database when the database container starts up.
-
-## Docker Setup
-Always _cd_ into `./db/docker_image`.
-### Local Docker Environment
-
-Build a local Docker image with:
-```bash
-docker buildx build -t marcel_knowhow_db .
-```
-
-Use the docker compose file with `docker-compose up -d` to start the backend.
-Connect to local neo4j browser with `http://localhost:7474/browser/`.
-
-### Image for Azure Container Registry and Azure Container Apps Service
-Build the docker image with:
-```bash
-docker buildx build \
-	--platform linux/amd64 \
-	-t jnicontainerregistry.azurecr.io/marcel_knowhow_db \
-	.
-```
-
-Push manually build image to registry
-Use `docker push jnicontainerregistry.azurecr.io/marcel_knowhow_db:latest` to push the image to the registry.
-
-### Continuous Integration and Deployment with GitHub Actions
-TODO This is not yet implemented.
-The project comes with a GitHub Actions workflow to build and push the image to the Azure Container Registry (see `./.github/workflows/db.yaml`).
+## Continuous Integration and Deployment with GitHub Actions
+The project comes with a GitHub Actions workflow to build and push the image to the Azure Container Registry (see `./.github/workflows/backend.yaml`).