Fritz Fax Software 3.07.61 Download
Kathy Douds
In doing some research and thinking more about how I want to represent a menubar inside of a native application it felt like it made more sense to turn this into a native menubar and not an HTML menubar that lived inside of my Blazor application. I started doing some research about how to create a menubar in .NET MAUI and found a few examples that showed how to use a tab bar to create and use multiple BlazorWebView components to represent different sections of the application. This felt clumsy to me because it meant that I would be spinning up multiple browsers to run inside of my application just to access and work with other parts of the application. I knew that that would mean more resources used by the computer when this application is running, and that felt a little irresponsible for me as a developer.
I wanted to actually have a menu bar with items that you would click and it would navigate inside of my Blazor application. Looking at the documentation for the BlazorWebView, there is no direct access to the NavigationManager or an ability to reset the location of the browser component. I set about to make the NavigationManager inside of Blazor accessible to the .NET MAUI application.
In .NET MAUI, the MenuBar component is added when you introduce MenubarItems. No problem, I added a MenuBarItem and 3 MenuFlyoutItems for the 3 base pages inside the default application. This code was added just inside the ContentPage element in App.xaml
The goal of this demo is to show how a connected IoT device, a Raspberry Pi, can run unattended and receive automatic updates from GitHub, Azure, refresh .NET content on a screen with no interruptions.
Prior to writing the software for this demo, I followed all of the instructions for the touch-screen and mounted the Raspberry Pi inside the case it provides. This allows me to connect a keyboard and mouse as well as a power cable and work on the Raspberry Pi as a typical desktop workstation.
I already have one of these at `fritzregistry.azurecr.io`. It was easy enough to configure and deploy with credentials required to access the content. Alternatively, you can also use the GitHub package repository features and store containers there.
For this system, I want to use Watchtower to monitor the container registry and install updates automatically. In order to configure this with those dependencies, I needed Docker-componse. The prerequisites for Docker-Compose are installed with these commands:
Watchtower is a container that will watch other containers and gracefully update them when updates are available. I grabbed the watchtower image for ARM devices using this docker command on the Raspberry Pi:
The `command` argument instructs watchtower to check for updated images every 30 seconds, and the `restart` argument instructs the container to start at startup and always restart when the watchtower stops. More details about how to configure a Docker-compose file are available in their documentation.
The device I have for this scenario is a Raspberry Pi 3B and has an ARM32 processor. That can throw a little wrinkle into things because most systems now target ARM64 processors by default. Not a problem, because there is still support for ARM32 available and we just need to specify it in our deployment scripts.
The application that I will be running on the device is a simple ASP.NET Core application that counts the number of times the screen has been touched. In a more complete scenario, there might be a sensor connected or some kiosk screen wired up that presents information and collects data.
As changes are made to the GitHub repository, the GitHub action will rebuild the image and deploy it to the Azure Container Registry. Watchtower identifies the update and automatically stops the existing application on the Pi and then deploys a new copy with the same settings. With a little SignalR work, the UI updates seamlessly.
The About page is configured to output a bunch of HTML headers for the SEO folks and the social media pages to be able to present good information about the site. Notice the headers that are added to satisfy the search engines:
The key here is that the meta data about the lessons on the site is loaded and kept in memory. As of episode 9 of the series, the posts.csv file is only 1.4kb so I have no worries about loading its entire contents into memory.
I wanted to add a subset of the lessons to the front page of the website so that you could see the latest six episodes in the video series and scroll back and forth to the other episodes. This should be an interactive component but I still wanted the home page to render quickly and have a fresh speedy response time as you page through and look at the various episodes that are available. The natural way to do this with Blazor is to build a web assembly component that will run on the client and render data as users click on the buttons for that collection of articles.
Blazor lets me build content to be rendered on the web and I get to choose where exactly it should run. It can run in the browser with web assembly it can run statically on the server it can run interactively on the server if I want it to. In this case running as web assembly gives a really nice usability effect that makes it easy for viewers to locate the content they want to watch.
Add response compression configures the server so that it will deliver broadly compressed content. In this application I wrap it with the conditional debug detection because hot reload does not work with compression enabled. When we deliver the website to the production web host it will be running in release mode and compression will be enabled.
CSS AND JavaScript can be minified and combined to reduce the number and size of downloads for this static content that makes our websites look good. For this website I installed and used the WebOptimizer package available on NuGet. My configuration for this looks like the following:
The last thing that I did was set long duration cash dash control headers for static content like images CSS and Javascript files. This is easy to do with just a few more lines of optional configuration when I configure the static file feature inside of ASP.NET Core:
New customer? Create your ChessBase shop account with your e-Mail address and password. Advantages for registered users: Fast and easy check out; Easy access to your order history and a backup service for your download products: Purchased download products can be downloaded at any time with dedicated backups on the ChessBase server!
Attacker, coward, swindler or endgame wizard: I'll show you how to win against anyone! After my World Championship victories in 2022 and 2023, I am the reigning Chess Software World Champion and am now looking forward to showing you how to become even stronger against your opponent With my innovative training method, I simulate typical player personalities you know from tournaments and online chess: brash attackers, cautious cowards, passive players. But how do you win against them? Fritz will show you how! And for beautiful attacks, combinations or sacrifices, there are the new ChessBase cards as a reward for you. Practical training that's also a lot of fun. Or let's train openings: you can try out a new repertoire ideas directly in a match against me. And how about the new calculation training for a quick Elo boost? As Fritz19 I can make you play better again.
Fritz 18 marked the beginning of a new era, and Fritz 19 drives this development onward: a game against Fritz should be more than just a game - it should be an experience. In a time when online chess dominates, a chess program has to oer something special to be a real alternative to human opponents.
Active opening training: With Fritz 19 you can load any database, any CBM opening article, or any of your opening analyses directly as an opening book and play against it immediately.
More excitement: Try out variations against different styles of opponent, e.g. test a new defence system against the aggressive Fritz 19 Bull, or a new gambit against the timid Fritz 19 Mouse!
More information: Traditional opening books are short-sighted, showing only moves from the current position. The new database books come with notation and a small control board, which is super helpful with opening articles or fritztrainer, allowing you to see comments on the variations.
The new engine in Fritz 19 is the Computer Chess World Champion for 2023. The Calculation Training has been extended, especially in the important preliminary query of candidate moves. The Buddy Engine and the annotated engine analysis from ChessBase 17 have found their way into Fritz. The notation (and the whole program interface) has been enormously enhanced in places. Tactical Analysis, the important full commentary of your games, has been improved and much more!
Fritz 18 marked the beginning of a new era, and Fritz 19 drives this development onward: a game against Fritz should be more than just a game - it should be an experience. In a time when online chess dominates, a chess program has to oer something special to be a real alternative to hu\u0002man opponents.
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