What are slots?
I am deploying my application from Github and I have three different deployment slot(Dev/Staging/prod) and would like to deploy the code only to Dev and swap the deployed code to the rest of the st.
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- For the System object: A way to map between applied parameters in a System and the underlying graph molecule(s)
- For ParameterHandlers: A way to look at a Topology and determine
- how many parameters should be assigned
- whether one SMIRKS parameter should clobber another, or both parameters should coexist
- In formal math: An customizable language (algebra?) for describing how to take a graph where each node has a unique index and:
- enumerate desired graph substructures
- define an equivalence operator for graph substructures
GitHub is where people build software. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. If you're curious how to do this in GitHub Actions, see my blog post about it. The difference here is that on every 'Next' deployment I'm building a 'next' container. If we look in Azure container registry, we can see that there are tags for latest (my released version) and next (my test version): With that in place, let's look at slots. It was a lot harder than the practice tests I took from Whizlabs but I managed to push through and pass. So happy I can relax for the rest of the year and take it easy and not worry about studying to retake this test. Digital Slot Inspection - jcsmileyjr.github.io.
Where do slots appear currently?
The keys in the above dictionary are our current solution to 'slots'.We've made our own dictionary subclasses like ValenceDict
and ImproperDict
with custom __keytransform__
methods which operate by canonically ordering the atom indices in each SMARTS match, such that they produce intentional key collisions.For example, a Bond SMARTS that matches particles (2,1) should collide with a previous match on (1,2).In this case, the desired algorithm is simple -- the particle indices are simply sorted.
This becomes slightly more complex for Angles, where naive sorting may mangle the identity of the central atom, which would mangle the calculation of the geometric angle.So the central atom in an Angle is 'priveleged', and is immune to the sorting.
Ditto for ProperTorsions and the two central positions.However, for ProperTorsions, we encounter the complexity that, IF the outer atoms are switched by the sorting, THEN the inner atoms must also be switched.
For ImproperTorsions, the second/central atom is 'priveleged', and the other three atoms are sorted.However, this sorting simply identifies the ordering for key collisions.After key collisions resolve which improper parameter should be applied, the 'trefoil' rules apply the desired improper three times, each with 1/3rd of the actual k
value, on three 'canonical' orderings, which are determined by the Topology's indexing system.Specifically, of the six possible permutations of three non-central atoms, it selects the three where the first particle index in the tuple is smaller than the last.The selection of these three sortings is funcitonally important -- It makes the energy of the improper deterministic.If the three permutations were not assigned this way, the same geometry might yield different energies for different atom orderings.
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LibraryCharges introduce the possibility of 'decomposability' and 'partial overlap'.Partially-overlapping LibraryCharge SMARTS might be used when many molecules have a common or repeating substructure, but their charges differ for a small functional group.In effect, a LibraryCharge parameter with N tagged atoms is applied as if it had been decomposed into N separate LibraryCharge parameters with one tagged atom each.
Spec for a Slot object
I have a handful of web projects that I maintain. Some of these are sites like the one for my films (Hello World Film and Don't Worry, I'm Fine) but some others are community projects like Atlanta Code Camp. I've battled with the best way to develop and deploy these projects for quite a while.
The problem has been that for a long time I've just been checking into a main branch in Git and publishing that on every check-in. That's caused me some down time over the years. Maybe with these small projects it doesn't matter, but I like to keep these up (especially this blog) so I wanted to make a change that would address it.
First thing I did was create a branch in Git for working on the project. I thought about doing Pull Requests but since I'm the only dev on most of these, it felt a little to over-complicated. So instead I have a branch I call 'next' that I do active development into:
I've set up an Action to automatically build and deploy the project on every build. If you're curious how to do this in GitHub Actions, see my blog post about it.
The difference here is that on every 'Next' deployment I'm building a 'next' container. If we look in Azure container registry, we can see that there are tags for latest (my released version) and next (my test version):
With that in place, let's look at slots. Azure slots are a way to have multiple versions of your site running at once. One reason for this is what we're using it for. You can have a separate versions for testing, development, etc. Another common reason is to support A/B testing. It allows you to swap slots instantly (to prevent downtime) for those different scenarios. Let's see what it looks like.
In the App Service for this blog, there is an item for 'Deployment Slots':
Opening this you may get the dreaded 'You're not paying enough for this project' notification:
But if you're on a Standard (or better), you'll be greeted by this page:
Note that your main site is already running as the first 'slot'. It's your 'production' slot and 100% of the traffic is going to it. You can add a new slot and this will make a copy of your project, but it's a completely separate (but related) App Service.
Note: you can use this whether you're using containers or not. Just in this example I'm using container deployment
Let's create a new slot. Click on the 'Add Slot' button:
Enter a name for the slot and Click Add (you can clone the settings from the original site if you are using settings). Each slot gets it's own App Service so separate settings and configuration.
The name of the slot becomes a new AzureWebSites.net address so you can view it directly using that domain. For my use, I use the 'sitename.azurewebsites.net' address as my testing address.
Once you have a slot configured, it'll look like this:
The problem has been that for a long time I've just been checking into a main branch in Git and publishing that on every check-in. That's caused me some down time over the years. Maybe with these small projects it doesn't matter, but I like to keep these up (especially this blog) so I wanted to make a change that would address it.
First thing I did was create a branch in Git for working on the project. I thought about doing Pull Requests but since I'm the only dev on most of these, it felt a little to over-complicated. So instead I have a branch I call 'next' that I do active development into:
I've set up an Action to automatically build and deploy the project on every build. If you're curious how to do this in GitHub Actions, see my blog post about it.
The difference here is that on every 'Next' deployment I'm building a 'next' container. If we look in Azure container registry, we can see that there are tags for latest (my released version) and next (my test version):
With that in place, let's look at slots. Azure slots are a way to have multiple versions of your site running at once. One reason for this is what we're using it for. You can have a separate versions for testing, development, etc. Another common reason is to support A/B testing. It allows you to swap slots instantly (to prevent downtime) for those different scenarios. Let's see what it looks like.
In the App Service for this blog, there is an item for 'Deployment Slots':
Opening this you may get the dreaded 'You're not paying enough for this project' notification:
But if you're on a Standard (or better), you'll be greeted by this page:
Note that your main site is already running as the first 'slot'. It's your 'production' slot and 100% of the traffic is going to it. You can add a new slot and this will make a copy of your project, but it's a completely separate (but related) App Service.
Note: you can use this whether you're using containers or not. Just in this example I'm using container deployment
Let's create a new slot. Click on the 'Add Slot' button:
Enter a name for the slot and Click Add (you can clone the settings from the original site if you are using settings). Each slot gets it's own App Service so separate settings and configuration.
The name of the slot becomes a new AzureWebSites.net address so you can view it directly using that domain. For my use, I use the 'sitename.azurewebsites.net' address as my testing address.
Once you have a slot configured, it'll look like this:
While, in my case, I'm always leaving the traffic to the main site at 100%, you could also use it to do A/B testing by having two versions of the site running and sharing the traffic to test how well the sites compare.
Now that I have the slot, I just configure it to use my testing (or next) container:
This image is doing a lot of heavy lifting. Note on the top-right that this is showing that it is an App Service Slot. So while it is an App Service it it's own right, it's related to the main App Service.
By looking at the container settings, I'm setting the container to use a 'next' tag so that this is the test version of this blog. I can view it and be sure that I didn't break anything. Now I'm ready to push this to the live version.
To do this, I go back into GitHub and create a Pull Request:
Once I merge the changes from my 'next' branch to 'main', the GitHub actions take over and create a new 'latest' version of my container. Enghien les bains casino prix.
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You can see my actions and source code for this blog if you're curious how it works:
Github Slots App
Is this something like what you're already doing in real production environments?