This way your server is able to control the requests to the third party API and even limit or ban users of your App if they are abusing your service. This way, the client never sees the key, because he requests the 3rd party API through your server. When you have an API key which you don't want the client to have, let the client request your API backend, and then you request the other API with the key from your server. Some make it easy, for example websites, some make it harder, for example desktop apps, but with enough patience, someone can eventually extract it. So your server associates the session token with the user, so the user can prove his identity using the session token instead of sending his password to your server every time.īe vary that keys stored on any frontend can be extracted. new ClientRequest(options) options (Object string) - If options is a string, it is interpreted as the request URL. ClientRequest implements the Writable Stream interface and is therefore an EventEmitter. It is only available as a return value of other methods in the Electron API. The session token can then be used to access the users information on your backend server (via further API requests). This class is not exported from the 'electron' module. Your backend then generates and returns a cryptographically secure session token, which is then stored in localStorage of your electron frontend. Let the user sign-in, by posting to your API backend. Then you can use the fetch API in javascript to exchange data with your backend. That said, the best way to understand Sirepo is to see it for yourself.Due to an Electron App being basically a website packed into an App, I'd recommend using an API-based backend. But no matter which one you use, the interface will stay the same. Its features change with the codes’ own capabilities. It’s important to remember that Sirepo itself is just the container for the codes above and others. This way, you don’t have to worry about anyone altering your simulation. The link you share provides the recipient with a separate copy, not access to the original simulation. One thing to note is that Sirepo URL sharing is not like Google Docs. It’s as easy as sending an email or a Slack message. Simply copy it and send to whomever you wish, and they will have access to an exact copy. Unlike traditional command line codes, a simulation in Sirepo is easy to share via link sharing.Įvery simulation you create in Sirepo has a unique sharing URL, available in the top menu. And any mistakes mean a wrinkle in results or make a simulation impossible to reproduce. This sounds easy, but is harder to do in practice. Second, the files must all reach their destination intact and in full. First, software versions must be the same across all instances, or unexpected input file bugs can appear. ![]() Sharing and collaboration is not so smooth when done in the command line. (Accessible from the top menu bar in your workspace, pictured here.) This is why there are easy exports to other file formats, like a simple zipped file or Python source file. ![]() While a GUI interface is beneficial in many ways, there may be operations and tasks a researcher wishes to carry out in the command line. ![]() Sirepo is designed to aid both the beginner and advanced coder. Originally developed in the 1970s, Zgoubi is a particle accelerator code for electron and ion spin dynamics in rings. This is a particle accelerator code for single or multiple bunch rings with 3D PIC. OPAL is open-source and you can learn more about it here. OPAL or “Object Oriented Parallel Accelerator Library” is a particle accelerator code for linacs and electron guns with 3D space charge. SRW versions interfaced to Python and to IGOR Pro (WaveMetrics), as well as cross-platform library with C API, are available,”according to its GitHub repo. ![]() Besides the SR applications, the code can be efficiently used for various simulations involving conventional lasers and other sources. “The code enables both fully- and partially-coherent radiation propagation simulations in steady-state and in frequency-/time-dependent regimes. “Frequency-domain near-field methods are used for the SR calculation, and the Fourier-optics based approach is generally used for the wavefront propagation simulation. Its full name is Synchrotron Radiation Workshop and it’s an X-ray optics code for synchrotron radiation and coherent X-ray beamlines, such as what you find at the ALS or NSLS-II. Program execution is driven by commands in a namelist format.” SRW elegant, written entirely in the C programming language, uses a variant of the MAD input format to describe accelerators, which may be either transport lines, circular machines, or a combination thereof. This is a particle accelerator code for electron linacs, synchrotrons, and much more.Īccording to its user manual, “elegant stands for ‘ELEctron Generation ANd Tracking,’ a somewhat out-of-date description of a fully 6D accelerator program that now does much more than generate particle distributions and track them.
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