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Joined 2 years ago
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Cake day: December 31st, 2023

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  • I did this once

    I was generating a large fake dataset that had to make sense in certain ways. I created a neat thing in C# where you could index a hashmap by the type of model it stored, and it would give you the collection storing that data.

    This made obtaining resources for generation trivial

    However, it made figuring out the order i needed to generate things an effing nightmare

    Of note, a lot of these resource “Pools” depended on other resource Pools, and often times, adding a new Pool dependency to a generator meant more time fiddling with the Pool standup code


    • if something feels too “heavy”, like it’s doing xml formatting, file manips, a db insert, and making coffee, all in a single class or function

    Separate out those “concerns”, into their own object/interface, and pass them into the class / function at invocation (Dependency Injection)

    • use “if guards” and early returns to bail from a function, instead of wrapping the func body with an if
    
    public Value? Func(String arg) {
      if (arg.IsEmpty()) {
        return null;
      }
      
      if (this.Bar == null) {
        return null;
      }
    
      // ...
      return new Value();
    
    
      /// instead of
    
      if (!arg.IsEmpty) {
        if (this.Bar != null) {
          // ...
          return new Value();
        }
      }
    return null;
    }
    

    • if it’s not in git / SVC, add it as is. Create a “refactor” branch, and liberally use commits

    • Treat it like a decompilation

    Figure out what something does, and rename it (with a stupidly verbose name, if you have to). Use the IDE refactor tools to rename all instances of that identifier

    • Take a function, figure out what it does, and refactor it in a way that makes sense to you

    • Use the editor’s diff mode to compare duplicate code, extract out anything different into a variable or callback, and combine the code into a function call. Vscode’s “select for compare” and “compare with selected” are useful for this

    • Track what you’re doing / keep notes in something like Obsidian. You can use [[Wikilinks]] syntax to link between notes, which lets you build a graph structure using your notes as nodes

    • be cognizant of “Side Effects”

    For example, a function or property, or class might be invoked using Reflection, via a string literal (or even worse, a constructed string). And renaming it can cause a reflective invocation somewhere else random to fail

    Or function or operator overloading/overiding doing something bizarre

    Or two tightly coupled objects that mutate each other, and expect certain unstated invariants to be held (like, foo() can only be called once, or thingyA.len() must equal thingyB.len()

    • write tests if you can, either using a testing framework or custom Python scripts

    You can use these to more thoroughly compare behavior between the original and a refactor




  • I did it once to pull out data from a spreadsheet into a database. Specifically, I needed "${DataType}${Month}" for each month for 3 different datatypes

    Iirc, i used an sql pivot (or unpivot) in that query too

    Usually, it’s situations like this where you’re parsing data from strings, and you need some glue code to interface between the input data, and the date library you’re using to actually resolve the datetime



  • Think of it more like pre-canned build scripts. I can just write a script (DockerFile), which tells docker how to prepare the environment for my app. Usually, this is just pulling the pre-canned image for the app, maybe with some extra dependencies pulled in.

    This builds an image (a non-running snapshot of your environment), which can be used to run a container (the actual running app)

    Then, i can write a config file (docker-compose.yaml) which tells docker how to configure everything about how the container talks to the host.

    • shared folders (volumes)
    • other containers it needs to talk to
    • network isolation and exposed ports

    The benefit of this, is that I don’t have to configure the host in any way to build / host the app (other than installing docker). Just push the project files and docker files, and docker takes care of everything else

    This makes for a more reliable and dependable deploy

    You can even develop the app locally without having any of the devtools installed on the host

    As well, this makes your app platform agnostic. As long as it has docker, you don’t need to touch your build scripts to deploy to a new host, regardless of OS


    A second benefit is process isolation. Should your app rely on an insecure library, or should your app get compromised, you have a buffer between the compromised process and the host (like a light weight VM)


  • In my obsidian notes folder, i have

    • 01 - Inbox
    • 02 - Breadbox
    • 03 - Data

    .

    • Inbox is for newly created notes
    • Breadbox is for notes that i need to reference or otherwise want quick access to
    • Data is for everything else

    For file navigation, i use links and references within the notes themselves, which creates a network of linked files that is far far easier to navigate than folders


    Everything else is sorta all over the place, but in general

    • ~/Documents
      • dumping ground for important documents, folders are arbitrarily made as I go
    • ~/Downloads
      • dumping grounds for downloaded things, generally important files are moved elsewhere
    • ~/Code is where i put all of my personal projects and other junk related to programming

    ~/ is the user home directory

    • C:\Users\Name for windows
    • /home/name for linux

    For pictures, i use a self hosted Immich instance