Toyz API¶
As mentioned previously, Toyz is a web application run on the python Tornado web framework. This document won’t go into the details of how Tornado handles requests, as most of this work is done behind the scenes and Toyz contains an API that should allow even power users to ignore the Tornado web framework. The main goal of the web API is to allow scientists, who tend to be more proficient in python than web languages like html, js, and css, to have to learn and use as little of those languages as possible. Another goal is to make it quick and easy to build GUI’s, as a big part of the reason that scientific software is mostly done from the command line is that it’s sooooo much easier to do it that way... unless you’re using someone else’s code.
toyz_core.js¶
This module contains the core functions and objects used for communication with the web application.
Toyz.Core.Websocket¶
Other than get and post requests for files, the Toyz.Core.Websocket object handles all of the communications with the web application. In practice each web page should only have a single websocket connection, although multiple tiles and controls on the page can use it (there are some exceptions, for example the `file_dialog`_ has its own websocket).
To create a new websocket, on an html pages <script> section type:
websocket = new Toyz.Core.Websocket(options);
where options is a JSON object (essentially a python dictionary) that contains optional parameters for the websocket. There are no mandatory parameters, so it’s possible to simply use websocket = new Toyz.Core.Websocket({});
Optional Parameters¶
- rx_action: function to run when a message is received from the server. Instead of specifying an rx_action it is also possible to specify a callback for each message sent to the server
- rx_error: function to be run if an error occurs on the server. The default function alerts the user
- notify: function to be run if a notification is received from the server (such as the successful completion of a task)
- warn: function to be run if a warning is received from the server
- onopen: action to be completed once the websocket has established connection with the server. This can be useful when designing a web page that waits for a server connection before initially populating a set of controls or interactive tools
Sending Jobs to the Server¶
Jobs are sent to the server via the Toyz.Core.Websocket using a send_task function. send_task requires a JSON object with (at a minimum) a task key, which tells the server which function to run. Task is itself a JSON object that contains module, task, and parameters keys. For example:
websocket.send_task({
task: {
module: 'toyz.web.tasks',
task: 'create_paths',
parameters: {
path: '~/toyz/',
new_folder: 'temp_folder'
}
}
})
creates a new folder temp_folder in the ~/toyz directory. The module key tells the application which python module (or toy) to use, task is the function, and parameters is a JSON object with parameters to pass to the function.
See Job API for more about sending and running jobs on the server.
Receiving Responses¶
When a job has completed a response is always sent from the server. Depending on whether or not the response is an error, a warning, a notification, a custom function may be run to handle the response (which has the option of continuing to the callback or rx_action if any of those functions return false). Otherwise the callback function passed to the websocket is run, or if no callback function was sent, the rx_action function is run.
Note
If a websocket has an rx_action specified and receives a callback, the callback is always run.
Warning
Currently, if a connection to the host is lost, the Toyz webpage must be reloaded so that the websocket can establish a new connection, which completely erases all the data on the page. In the future the websocket will try to re-establish connection, but for now: Save your workspace often in case you lose your connection
Toyz.Core.FileDialog¶
For obvious reasons most web applications don’t want users to be able to browse the contents of their server, so web browsers do not come with a built in file browser (the way operating systems do). The Toyz FileDialog is a browser that allows the user to see his/her own custom shortcuts (to favorite directories), and access all of the files he/she has been granted access to from the management console.
To add/delete shortcuts, go to the homepage url (host:port) and add/delete options from the shortcuts control group. Don’t forget to submit.
Job API¶
The job API handles all tasks sent from clients and runs each one in a new subprocess. In the future admins will have the option of allowing users to have a subprocess for each session, allowing them to store some information in memory while they are interacting with the data in their web client, but for now each subprocess is destroyed when a job has completed.
Format of a task¶
Each task the server receives is a dictionary with the keys module, task, parameters. For example:
websocket.send_task({
task: {
module: 'toyz.web.tasks',
task: 'create_paths',
parameters: {
path: '~/toyz/',
new_folder: 'temp_folder'
}
}
})
creates a new folder temp_folder in the ~/toyz directory. The module key tells the application which python module (or toy) to use, task is the function, and parameters is a JSON object with parameters to pass to the function.
Since this is basically a glorified eval function (queue record scratch) we need to make sure that this isn’t exploited. This is done in a few ways.
- As mentioned in Creating Custom Toyz, a user can only use modules he/she is specifically granted permission to execute from the management console
- All modules must end in tasks.py. This makes sure that unwanted functions cannot be run by anyone (even an admin), and also helps keep toyz uniform as they all communicate with the web client via a ...tasks.py file
- The job manager in the web application parses the task it receives and every task function on the server receives the same 3 parameters: toyz_settings, tid, params.
toyz_settings contains the settings for the toyz application.
tid is the task id, a dictionary containing user_id, session_id, and request_id fields. The user_id is the name of the user sending the task (obtained from a secure cookie), the session_id is a unique id generated for each websocket to keep track of temporary files, and the request_id is number unique to each session to keep track of a task between the server and the client.
Finally, params are the arguments passed to the function from the client (the parameters field of the websocket task).
Once again, this format is used both to keep the code uniform and make it more difficult for someone to hack the system.