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86 changes: 86 additions & 0 deletions .github/workflows/azure-container-webapp.yml
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# This workflow will build and push a Docker container to an Azure Web App when a commit is pushed to your default branch.
#
# This workflow assumes you have already created the target Azure App Service web app.
# For instructions see https://docs.microsoft.com/en-us/azure/app-service/quickstart-custom-container?tabs=dotnet&pivots=container-linux
#
# To configure this workflow:
#
# 1. Download the Publish Profile for your Azure Web App. You can download this file from the Overview page of your Web App in the Azure Portal.
# For more information: https://docs.microsoft.com/en-us/azure/app-service/deploy-github-actions?tabs=applevel#generate-deployment-credentials
#
# 2. Create a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE, paste the publish profile contents as the value of the secret.
# For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
#
# 3. Create a GitHub Personal access token with "repo" and "read:packages" permissions.
#
# 4. Create three app settings on your Azure Web app:
# DOCKER_REGISTRY_SERVER_URL: Set this to "https://ghcr.io"
# DOCKER_REGISTRY_SERVER_USERNAME: Set this to the GitHub username or organization that owns the repository
# DOCKER_REGISTRY_SERVER_PASSWORD: Set this to the value of your PAT token from the previous step
#
# 5. Change the value for the AZURE_WEBAPP_NAME.
#
# For more information on GitHub Actions for Azure: https://github.com/Azure/Actions
# For more information on the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
# For more samples to get started with GitHub Action workflows to deploy to Azure: https://github.com/Azure/actions-workflow-samples

name: Build and deploy a container to an Azure Web App

env:
AZURE_WEBAPP_NAME: your-app-name # set this to the name of your Azure Web App

on:
push:
branches: [ "main" ]
workflow_dispatch:

permissions:
contents: read

jobs:
build:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4

- name: Set up Docker Buildx
uses: docker/setup-buildx-action@f95db51fddba0c2d1ec667646a06c2ce06100226 # v3.0.0

- name: Log in to GitHub container registry
uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d # v3.0.0
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ github.token }}

- name: Lowercase the repo name and username
run: echo "REPO=${GITHUB_REPOSITORY,,}" >>${GITHUB_ENV}

- name: Build and push container image to registry
uses: docker/build-push-action@0565240e2d4ab88bba5387d719585280857ece09 # v5.0.0
with:
push: true
tags: ghcr.io/${{ env.REPO }}:${{ github.sha }}
file: ./Dockerfile

deploy:
permissions:
contents: none
runs-on: ubuntu-latest
needs: build
environment:
name: 'Development'
url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}

steps:
- name: Lowercase the repo name and username
run: echo "REPO=${GITHUB_REPOSITORY,,}" >>${GITHUB_ENV}

- name: Deploy to Azure Web App
id: deploy-to-webapp
uses: azure/webapps-deploy@v2
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
images: 'ghcr.io/${{ env.REPO }}:${{ github.sha }}'
25 changes: 25 additions & 0 deletions Speicher
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Datenspeicher mit Analyse und Crypto to Texter Writer und Texter to Crypto Reader,
Assoziation Overview Reader, Sortierer sortiert Information nach Kategorien und Themen. Search in Datenbase Information. Reartikulator für vorgesuchte/gespeicherte information
Speicherinformation:
8MC Cache zum Zwischenspeichern an Information und Daten wie es gespeichert wird und die gesucht werden und die Verwaltungsinformation beinhalten. Unendliche Speichergroße in MC z.B.:
Memory Capatcity Metric Volume = 1 nmmmc – unendlich Tera Memory Capatcity

Mediendatenbank/Mediathek mit Track ID Editor und Sensethink Analysator zum erkennen von Frequenzen und Dezibel, Instrumente, Noten und Takt, Stimmung und
Genre, beschreiben des Songs und das Jahr und der Song wird Betitelt in
Songtitle_Interpret.Format des Songs
Format: BrainMusic, Mp3, MP4, WMA, WAV, SVF
Memory Capatcity Metric Volume = 1 nmmmc – unendlich Tera Memory Capatcity
BildContainer mit Bildanalysator für Bildfrequenzen, ISO-Werten und Distanzmessung Werten, Auflösung in Pixeln, mit Bildbeschriftungseditor mit Sensethink zum
beschreiben des Bildes, Jahr und Betitelt das was darauf zu sehen ist mit Betitelung_Aufnahmenummer.Format
Format = BrainPic, GIF, Pictures, Bild, .JPEG, PNG
Memory Capatcity Metric Volume = 1 nmmmc – unendlich Tera Memory Capatcity
Sound Datenbank/Mediathek Sortierer sortiert Soundanalysator in Frequenzen und Dezibel.
Mit Sensethink zur Betitelung und Beschreibung von Sound
Memory Capatcity Metric Volume = 1 nmmmc – unendlich Tera Memory Capatcity

Je Memory Capatcity in Sektoren pro Sektor 1nmmg.
Und in 8 - 1024Mg/MB große Blocks ergo 824.484.929.824 Sektoren die Blocks und
Sektoren passen sich dem Speicherbildgröße automatisch an fangen wir mit dem
Brain/Hirn/Gehirn zum Beispiel mit 992Tg/Tb ergo
1.083.026.872.390.434.077.742.313.168.295.985.592.010.812.895 Sektoren und mit einem 8Mg/MB Cache. Als aktuelle Speicherbildgröße ist aber in Potenzzahlen erweiterbar und somit wie der Hirnspeicher an und für sich dynamisch flexibel.