Every tutorial-framework based challenge has a `solvable` Docker image based on this one: their `Dockerfile`s begin with `FROM eu.gcr.io/avatao-challengestore/tutorial-framework`.
Note that TFW is not avaliable on Docker Hub due to legal reasons and is only accessible through local builds (don't worry, we've got you covered with build scripts in the [test-tutorial-framework](https://github.com/avatao-content/test-tutorial-framework) repo).
To make this possible TFW implements a robust messaging system and provides several pre-written components built upon it, such as a file editor and a terminal (both running in your browser).
Frontend components use websockets to connect to the TFW server, to which you can hook several *event handlers* defining how to handle specific messages.
Event handlers connect to the TFW server using ZMQ.
They receive messages on their `SUB`(scribe) sockets, which are connected to the `PUB`(lish) socket of the server.
Event handlers reply on their `PUSH` socket, then their messages are received on the `PULL` socket of the server.
The TFW server is basically just a fancy proxy.
It's behaviour is quite simple: it proxies every message received from the fontend to the event handlers and vice versa.
The server is also capable of "mirroring" messages back to their source.
This is useful for communication between event handlers or frontend components (event handler to event handler or frontend component to frontend component communication).
Components can also broadcast messages (broadcasted messages are received both by event handlers and the frontend as well).
Imagine event handlers as callbacks that are invoked when TFW receives a specific type of message. For instance, you could send a message to the framework when the user does something of note.
Event handler allow you to define actions triggered on the backend when the user presses a button on the frontend or moves the cursor to a specific area, etc.
Event handlers use ZeroMQ to connect to the framework. Due to this they are as loosely-coupled as possible: usually they are running in separate processes and only communicate with TFW through ZMQ.
Our pre-made event handlers are written in Python3, but you can write event handlers in any language that has ZeroMQ bindings (this means virtually any language).
This makes the framework really flexible: you can demonstrate the concepts you want to in any language while using the same set of tools provided by TFW.
To implement an event handler in Python3 you should subclass the `EventHandlerBase` or `FSMAwareEventHandler` class in `tfw.event_handler_base` (the first provides a minimal working `EventHandler`, the second allows you to execute code on FSM events).
For instance, you could represent whether the user managed to create a malicious user with a state called `user_registered` and subscribe callbacks to events regarding that state (like entering or leaving).
You could create challenges that can be completed in several different ways: imagine a state called `challenge_complete`, which indicates if the challenge is completed. Several series of actions (triggers) could lead to this state.
Note that our frontend implementation is written in Angular. It is maintained and documented in the [frontend-tutorial-framework](https://github.com/avatao-content/frontend-tutorial-framework) repository.
To mirror messages back to their sources you can use a special messaging format, in which the message to be mirrored is enveloped inside the `data` field of the outer message:
```text
"key": "mirror",
"data":
{
...
The message you want to mirror (with it's own "key" and "data" fields)
...
}
```
Broadcasting messages is possible in a similar manner by using `"key": "broadcast"` in the outer message.
In the `docs` folder you can find our Sphinx-based documentation, which you can build using the `hack/tfw.sh` script in the [test-tutorial-framework](https://github.com/avatao-content/test-tutorial-framework) repository.
To get started you should take a look at [test-tutorial-framework](https://github.com/avatao-content/test-tutorial-framework), which serves as an example project as well.
By default callbacks on terminal history are invoked *as soon as* a command starts to execute in the terminal (they do not wait for the started command to finish, the callback may even run in paralell with the command).
If you want to wait for them and invoke your callbacks *after* the command has finished, please set the `TFW_DELAY_HISTAPPEND` envvar to `1`.
Practically this can be done by appending an `export` to the user's `.bashrc` file from your `Dockerfile`, like so: