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  • Copy git hashes

    I’ve been reaching more and more for git history commands to get details about the file I’m working on. I used to use tools like GitHub desktop or Sublime Merge but I never felt like they added that much value, it’s just faster to to call up a git log somefile or git log -L 5,10:somefile. The only shortcoming of this approach is it generally leaves me wanting a commit hash in my clipboard (often to switch to or to run git diff with). No more! Today I doubled down grabbing these hashes without having to mouse over and select the hash; I give you: git diff myfile --pretty=oneline | head -c7 | pbcopy This is the most simple form of this that I can find.

    --pretty=oneline ensures the commit hash is first, piped into head -c7 we get the first 7 characters of the hash (you could grab more or use some kind of regex to get the whole thing but I believe 7 is the minimal amount you can give git where it will reliably find a commit). Pipe it to pbcopy and you got a little git hash.
    It’s a fair amount of typing, I think I could set --pretty=oneline in my git config and frankly I could likely alias this whole thing as some kind of function in my .zshconfig but for now it is what it is.

    β†’ 9:01 PM, Oct 9
  • Weekly Round Up: June 13, 2025 πŸ‘»

    It was a week of state machines. Two separate Rails projects, two separate state machine libraries (state_machines and aasm), both sending emails. One is a fairly straightforward project for a department of education, it’s an old codebase but Objective built it and has been working on it ever since. As such, it’s fairly clean and straightforward for it’s age. I think that the more contractors and firms a codebase passes through the more muddled it gets. I’ve been working on this codebase for about two years now. The entire time I’ve been working to convert an old paper process to a digital one, it’s not an overly ambitious project but the budgeting has necessitated a slower pace of development. With only a few months left in the yearly budget (in education I guess the fiscal year ends with the school year) I was asked to quickly implement a form that allows users to draft a custom email message and attach a PDF. It’s been a while since I’ve done this with Rails, my last experience doing so was in the Paperclip days and that was not too fun. I’ve been pleasantly surprised with ActiveStorage, it’s much more plug-and-play then I recall (I’ve also been developing a lot longer now).

    The other project is far more involved, my new full-time at gig at Built. It’s been exciting to work in tandem with another developer who has been handling the front-end work. Coming from a small agency I’ve always developed features full stack. Part of why I wanted to switch to a dedicated product team was to have experiences like this one where a greater degree of planning and coordination between developers was required. I started by creating a model last week and writing as many tests as I thought would be relevant. I’ve been through TDD phases in the past; but I think in small teams and projects TDD offers diminishing returns. It makes a lot of sense in a scenario like this, even on a fairly small team, since I’m developing features that I can’t be able to test in the browser until the other developer has her features in place. She in turn won’t be able to know if the front end works until my code is merged into her branch. This feature was the bulk of my week but it came together in time for some Friday afternoon QA of which I’m sure there will be several things to fix on Monday morning.

    β†’ 8:00 PM, Jun 12
  • Multi-tenancy with Phoenix and Elixir

    There are lots of good places to start with multi-tenancy in Elixir (although I’d recommend Ecto’s own docs for either foreign keys or postgres schemas ). Most of the write-ups and tutorials start the same way “generate a new Phoenix application with mix phx.new “. While, this is great if your starting an enterprise SASS app from scratch but it leaves something to be desired if you, like I was, are migrating an existing codebase with thousands of users, and products to a multi tenant application. I recently went through this with an enterprise client and there were enough pitfalls and interesting problems to solve that it seemed to warrant a detailed post.

    I believe the solution I put together is both effective and elegant but it is not without it’s pain points. Mainly, if you are going to use PostgreSQL schemas (which I did) you are going to have to migrate your existing data into said prefixes. There is no easy way around this, it’s just a slog you have to do; more on that later.

    Schemas?

    I went back and forth for a while, I finally settled on query prefixes as they felt a little more elegant; segmenting data without having to add new foreign keys to any columns. It also makes it easy to migrate or wipe customer data if needed. Admittedly, if your managing tens of thousands of tenants in a single database this approach will be a bottleneck. In my case that was not a concern; there are two current tenants and the client only expects to add a few tenants ever year if that. As mentioned, Ecto has great docs on setting up schemas; however I opted to use a dependency called Triplex mostly for the sake of time (about a week in I realized I could have rewritten most the required features in a day or two but we had about a month to make this transition so a refactor at this point seemed like overkill). Schemas work because we are using PostgreSQL, you can kind of hack together “schemas” with MySQL but under the veil it’s just separate databases, I can’t vouch for that approach because my Elixir projects are mostly in Postgres.

    The first big hurdle is ensuring that your queries are run in the the right schema. By default Ecto is going to run queries in the public schema. On any given query you can change this by passing in a prefix: option, ie: Repo.one(query, prefix: "some_prefix"). Now rewriting hundreds or thousands of Repo actions with a variable prefix is not exactly convenient but it’s imperative to ensure queries are scoped to the correct schema. Just imagine the catastrophic breach if you had Customer A getting back Customer B’s data!

    Thankfully you do not have to rewrite all your queries explicitly calling a prefix. There are some handy built-in behaviours from Ecto.Repo. Enter Repo hooks! Ecto.Repo comes with some great behaviours that allow one to effectively write Repo.one(query, prefix: "some_prefix") without actually writing it for every single query! You can implement prepare_query/3 which to filter and modify the prefix. You add these hooks to YourApp.Repo This is prepare_query/3 in it’s simplest form:

    @impl true 
    def prepare_query(_operation, query, opts) do 
    	opts = Keyword.put(opts, :prefix, "some_prefix")
    	{query, opts}
    end
    

    Now all queries will be looking at the some_prefix prefix rather than the public prefix. In our app we had a few tables that we wanted scoped to the public query? For example you may have an admins table, or possibly oban_jobs , tenants , etc. You can handle this in a few ways:

    @impl true 
    def prepare_query(_operation, query, opts) do 
    	if opts[:skip_prefix] do 
    		{query, opts}
    	else 
    		opts = Keyword.put(opts, :prefix, "some_prefix")
    		{query, opts}
    	end 
    end
    

    This works although it necessitates passing skip_prefix: true to all your Repo calls; likely fewer then before but still kind of defeating the purpose of prepare_query/3 .

    @sources ~w[admins oban_jobs oban_peers customer_pricing]
    
    @impl true 
    def prepare_query(_operation, %Ecto.Query{from: %{source: {source, _}}} = query, opts) when source in @sources do 
    	{query, opts}
    end 
    
    def prepare_query(_operation, query, opts) do 
    ... 
    end
    

    By pattern matching on your allowed tables you can bypass your prefix override. I used a combination of both of the above approaches with a list of allowed source tables as well as the option to skip_prefix which adds an manual override to the API. In theory you shouldn’t need it but you never know, tests, edge cases, shrugs…

    Tenant Selection

    At this point we’ve converted every query in the application to use a dynamic prefix in about 10 lines of code. Not bad but it’s also not dynamic, I’ve hard coded some_prefix into my queries. Before we make the actual hook dynamic we need to determine how Phoenix is going to recognize the tenant. There are many ways of doing this, in my case, for now, we are using subdomains.

    Since the subdomain is available on the conn.host, I set up a plug to fetch the subdomain:

    defmodule MyApp.TenantPlug 
    ...
    
    def selct_organization_from_domain(conn, _opts) do 
    	subdomain =  get_subdomain(conn) 
    	put_session(conn, :tenant, subdomain)
    end
    
    defp get_subdomain(%{host: host}) do 
    	[subdomain | _] = String.split(host, ".")
    	subdomain
    end
    

    This gets the subdomain and puts it in the session (which is not strictly necessary but is nice to have). Next lets pass it to Repo; as with the queries, one need not rewrite all Repo calls passing in a :subdomain option, here Elixir/Phoenix has your back. In Phoenix, each browser session is a unique process and that process can pass data to itself. Back in Repo I added these little helpers:

    @tenant_key {__MODULE__, :tenant}
    
    def put_tenant_subdomain(subdomain) do 
    	Process.put(@tennat_key, subdomain)
    end	
    
    def get_tenant_subdomain do 
    	Process.get(@tenant_key)
    end
    

    Now back in the TennatPlug we can add the subdomain to the process:

    def selct_organization_from_domain(conn, _opts) do 
    	subdomain =  get_subdomain(conn)
    	Repo.put_tenant_subdomain(subdomain) 
    	put_session(conn, :tenant, subdomain)
    end
    

    A second Repo behaviour can be used to pass options to the Repo call: default_options/1 . Rather than explicitly writing opts = Keyword.put(opts, :prefix, "some_prefix") in the prepare_query/3 hook default_options/1 will set up your opts before the Repo function runs. From there we call get_tenant_subdomain/0 to retrieve the subdomain/query prefix we set in the plug:

    @impl true 
    def default_options(_operation) do 
    	[prefix: get_tenant_subdomain()]
    end 
    
    @tenant_key {__MODULE__, :tenant_subdomain}
    def get_tenant_subdomain, do: Process.get(@tenant_key)
    

    Like prepare_query/3 , default_options/1 will run with every query.

    With this implemented, navigating to a specific subdomain will set the tenant in the current process (as well as in the session) and any database queries in that session will be scoped to the tenant’s schema. Putting it all together we have something like this in repo.ex


    @allowed_sources ~w[oban_jobs tenants]
    
      @impl true
      def default_options(_operation) do
        [prefix: get_tenant_subdomain.get()]
      end
    
      @impl true
      def prepare_query(_operation, %Ecto.Query{from: %{source: {source, _}}} = query, opts)
          when source in @allowed_sources do
        opts = Keyword.put(opts, :prefix, "public")
        {query, opts}
      end
    
      def prepare_query(_operation, query, opts) do 
      	if opts[:skip_prefix] do 
    		{query, opts}
    	else 
    		opts = Keyword.put(opts, :prefix, "some_prefix")
    		{query, opts}
    	end 
      end 
    
      @tenant_key {__MODULE__, :tenant}
    
      def put_tenant_subdomain(subdomain) do 
    	   Process.put(@tennat_key, subdomain)
      end	
    
      def get_tenant_subdomain do 
    	   Process.get(@tenant_key)
      end
    

    The simplified version of my tenant_selection_plug.ex looks like:

      def selct_organization_from_domain(conn, _opts) do 
    	   subdomain =  get_subdomain(conn)
    	   Repo.put_tenant_subdomain(subdomain) 
    	   put_session(conn, :tenant, subdomain)
      end
    
      defp get_subdomain(%{host: host}) do 
       	[subdomain | _] = String.split(host, ".")
    	  subdomain
      end
    end
    

    In production we are handling a lot more such as authorization with Guardian but this show how simple it is to get a subdomain and add it to the session. The above is a fairly bare-bones approach our final project had a lot more customization and ended up being organized a bit differently; for example, we extracted functions dealing with getting and setting @tenant_keys in the process to their own module. My hope is that the above lays the groundwork for anyone looking to do something similar.

    Data Migration

    I wish I had a solution half as slick as Ecto’s behaviours make querying database schemas. I was unable to find an elegant way to migrate relevant data to specific schemas so I was forced to do it with good old SQL.

    -- compy customers
    INSERT INTO salt_lake.locations SELECT * FROM public.locations WHERE id = 'salt_lake_location_id';
    
    -- copy customers 
    INSERT INTO salt_lake.customers SELECT * FROM public.customers WHERE location_id = 'salt_lake_location_id';
    

    I had about 50 queries similar to this. Fortunately, tenants were mapped to locations and at the time of the migration the client only had two tenants (the system was migrating from a product business to a consulting business). I ran these queries twice replacing salt_lake with bakersfield on the second iteration. In my case due to the way the system was originally designed to work with an external system (look’en at you Quickbooks) and some changes the customer was making to how that system would be used this migration ended up being a bit more harry than expected. I had to write several ad-hoc queries that looked less like the above and more like:

    INSERT INTO salt_lake.qb_orders SELECT qb.* FROM qb_orders qb JOIN orders o ON o.qb_order_id = qb.id JOIN customers c on o.customer_id = c.id WHERE NOT EXISTS (SELECT 1 FROM salt_lake.qb_orders slcqb WHERE slcqb.id = qb.id) AND c.name ILIKE '%A Problematic Customer%'
    

    Again, that’s not the fault of the multi-tenancy setup, migrating data in any complex system is always going to have it’s prickly bits. If anyone has ideas for a more elegant migration pattern (first two queries, ignore the last one that an unfortunate specific), I’m all ears, shoot me an email self[at]travisfantina.com.

    β†’ 8:00 PM, Jun 3
  • Today I Learned ~D[2025-05-14]

    I recently switched jobs, which means new BitBucket credentials. However; I remain an occasional consultant with my last agency so I need to keep my public key associated with their BitBucket account…

    The first thing I learned today

    BitBucket won’t let you use the same public key for multiple accounts. I find this a little odd; like how AWS won’t let you name a S3 bucket if the name already exists. It feels like a website telling you “hey somebody is using this password lets try something else!” I know RSA key pairs are more secure and unique than passwords but still 🀷

    Making multiple pushes to git easy

    You can adjust your ~/.ssh/config to easily push to separate git accounts with different keys:

    # Assume this is your defaut
    Host *
        UseKeychain yes 
    
    # Key 2
    Host altkey
        HostName bitbucket.org
        IdentityFile ~/.ssh/alt-key
        # you likely don't need this but it's nice to specify 
        User git 
    

    Then add/update your remote origin:

    git remote add origin  git@altkey:bitbucket_account/repo.git
    

    Instead of bitbucket.org:account you’re just subbing in the Host alias. From there SSH doesn’t care because it’s been pointed to an IdentityFile it may not be the system default but it works.

    The git problems begin

    git push and:

    fatal: Could not read from remote repository.
    
    Please make sure you have the correct access rights
    

    Ok fairly common lets go through the checklist:

    1. The key is in BitBucket
    2. BitBucket access is “write”
    3. Check origin (see above)
    4. Check permissions on the public key And that’s about where my expertise ended.

    Diving in

    It’s useful to learn a bit of debugging, you can get pretty verbose with git logging by adding the environment variableGIT_SSH_COMMAND="ssh -vvv Pretty cool, and I was able to confirm a few differences between pushes to a working repo and the broken one. I was also able to give this log to an LLM and bounce a few ideas off it but ultimtally I don’t feel like these logs gave me a lot of valuable info. git config --list likewise is a handy flag to use but it didn’t show me any glaring issues. So I started looking into the SSH config: ssh-add -l which lists the RSA keys you have configured. To be sure I did ssh-add -D which removes your keys and then explicitly added both keys back with ssh-add ~/.ssh/[key name] Then I ran ssh -T git@altkey this runs a test with the alias configured in the config file. Infuriatingly, this returned:

    authenticated via ssh key.
    
    You can use git to connect to Bitbucket. Shell access is disabled
    

    So my config was correct, I had access, but I could not push. It took me an hour but eventually I set the key for git to use explicitly:

    GIT_SSH_COMMAND="ssh -i ~/.ssh/alt-key -o IdentitiesOnly=yes" git clone git@altkey:bitbucket_account/repo.git
    

    No further issues (with either repo).
    It’s unlikelly I’ll remember specifically setting the GIT_SSH_COMMAND which is the main reason I’m writing this!

    β†’ 8:00 PM, May 14
  • Class Configs with Lambdas in Ruby

    I’ve been getting reacquainted with Ruby, diving into a well established project which has been blessed by numerous smart developers over the course of the past 10 years. I discovered an interesting pattern for gathering models (ApplicationRecord classes) that may or may not be eligible for some feature: You start with a mixin that creates a method for your classes to pass options to; as well as a method for determining if those options enable the feature or not:

    module ProvidesFeature 
        class_methods do 
            # pass this to the model class
            def features_provided(model, **opts)
                (@features ||= []) << [model, opts]
            end
    
            # call this to initialize class feature checks
            def feature_models(ctxt)
                features_provided.map do |args|
                    DynamicFeature.new(ctxt, args)
                end
            end
        end 
    end 
    

    Here is an example DynamicFeature class instantiated above. This could be a bit simpler if you didn’t want to pass any context in but a lot of the power of this approach comes from the flexibility an argument like context gives you:

    class DyanmicFeature do 
        def initialize(ctxt, config_args)
            @ctxt = ctxt
            configure(config_args)  
        end
    
        def configure(ctxt, args = {})
            @should_provide_feature = args.fetch(:should_feature_be_provided) do 
                -> (ctxt) { ctxt&.fetch(:person_is_admin, false) }
            end
        end 
    
        def can_feature?
            @should_provide_feature.call(@ctxt)
        end
    end 
    

    Pausing for a moment and breaking this down. The #configure method is the main source of the magic. First we try to get the keyword :should_feature_be_provided (implemented below). If we get it we can return it’s value; however, there is built in flexibility to this. If args does not have a :should_feature_be_provided key then we can call a lambda with additional context. Again, you don’t need to pass anything else but I view this flexability as a strength if used strategically. Now implement; in an active record ie. Person

    class Person < ApplicationRecord 
        include ProvidesFeature 
    
        features_provided :person, 
            should_feature_be_provided: -> (ctxt) { ctxt.person.is_admin? }
        
    

    You can then easily gather any models that ProvidesFeature:

    ApplicationRecord.subclasses.select { |klass| klass < ProvidesFeature }
    

    Instantiate DynamicFeature on each class (note we are passing some context that assumes there is a person with an is_admin? method. It’s a little contrived but it illustrates the point: you can pass additional context in when the feature_models are built.

    .flat_map { |klass| klass.feature_models(ctxt) }
    

    Then filter with can_feature?

    .select { |klass| klass.can_feature? }
    

    At the start of this post I said this was an “interesting pattern”; not necessarily saying it’s a good one. I’m still fairly new to Ruby (despite having built a few production projects back in 2016 and 2018) and the OO pattern. Personally; I found the above extremely difficult to grok and even though I understand it I’ve found that, within the context of the project I’m working on, I’ve myself treadmilling through various files. In some ways I feel like, clever, as it is, this pattern may obfuscate a little too much but I’m open to feedback from those who have been in the OO world longer.

    β†’ 8:00 PM, May 7
  • Weekly Roundup: May 2, 2025

    This week I formally transitioned from my fulltime consulting gig at Objective for a fulltime gig at Built For Teams more details on that in a future post. However; broadly speaking it means that I’m dusting off my Ruby skills, diving deeper into the realm of OO programing then I ever have before.

    Farewell ASDF

    Last Friday night I pulled a Flutter repo I’m working on with a friend. I started having all kinds of issues trying to install Cocoapods. gem install cocoapods but then flutter run produced this error:

    Warning: CocoaPods is installed but broken. Skipping pod install.
    ...
    Error: CocoaPods not installed or not in valid state.
    

    Ok. So do some more research throw in a sudo, no luck. pod version produces this error:

    <internal:/Users/travis/.asdf/installs/ruby/3.3.5/lib/ruby/3.3.0/rubygems/core_ext/kernel_require.rb>:136:in `require': linked to incompatible /Users/travis/.asdf/installs/ruby/3.1.6/lib/libruby.3.1.dylib -
    

    Ah! I’ve seen this more than once! Ever since I shifted to a Ruby focused team at the start of the year I feel like Ruby version management has been an uphill slog. I’ve reshim’d multiple times, removed versions of Ruby, removed the Ruby plugin, and reinstalled ASDF. Things work for a time but eventually I run into errors like the above. My hunch, which may be ovbious, is that something was wrong with my setup that was placing versions of Ruby inside other versions (ruby/3.3.5/lib/ruby/3.3.0); I’m not sure if the path is supposed to look like that but it doesn’t make sensee to me. I’m willing to take responsability here, it may be that my $PATH was misconfigured (although I attempted multiple times to proide a concise path for ASDF) or that something in my system was messing with ASDF. I love ASDF, it’s served me very well for years. Being able to remove rvm and nvm and seamlessly manage Elixir versions between projects was a breath of fresh air. The docs are clear and concise, the tool provides enough functionality to get stuff done without getting in the way. However; for whatever reason, the slog to get Ruby working just took its toll. One of my coworkers mentioned Mise which is a drop in replacement for ASDF. I installed it in about 30 seconds and in 45 seconds my project was running with Mise. πŸ‘

    β†’ 8:00 PM, May 1
  • Weekly Roundup: Apr 25, 2025

    At the agency, we have a customer who has asked that customers accept terms of service before checking out. This is for an Elixir project; mostly fullstack Elixir however the frontend has an odd assortment of sprinkles: StimulusJS and React. I created a terms_and_conditions versions table and an accompanying view helper which will check a terms_version_accepted on the user record if the last terms_and_conditions.inserted_at date matches the terms_version_accepted then the user is shown an active “proceed to checkout” button, if not the button is disabled and a note asking them to acccept the terms of service will display.
    Since most of the Elixir projects I work on are fullstack (Phoenix LiveView) I don’t often get to write API endpoints. The API work on this was admittidly very small, a simpl endpoint that takes the user’s ID and updates the terms_version_accepted timestamp when they click “accept” in the modal. It returns a URL which we then append to checkout link allowing the user to proceed. This feature is due May 5th but I’m hoping to get onto the staging server on Monday or Tuesday.

    Internal Tooling:

    I’ve been using fzf for a while but I’ve wanted to filter only unstaged files, ideally whenever I type git add I just want to see a list of unstaged files that I can add. Admittidly I got some help from AI to do write this up:

    function git_add_unstaged() {
        local files
        files=$(git diff --name-only --diff-filter=ACMR | fzf --multi --preview 'git diff --color=always -- {}')
        if [[ -n "$files" ]]; then
            BUFFER="git add $files"
            CURSOR=$#BUFFER
        fi
    }
    
    function git_add_unstaged_widget() {
        if [[ $BUFFER == 'git add' ]] && [[ $CURSOR -eq $#BUFFER ]]; then 
            git_add_unstaged 
            zle redisplay
        else 
            zle self-insert
        fi
    }
    
    zle -N git_add_unstaged_widget 
    bindkey ' ' git_add_unstaged_widget
    

    I’m wondering if I’ll find the automatic git add to be jarring or have situations such as a merge conflict where this may not work. If so I can always fiddle with the bindkey but for right now I’m enjoying my new found git add speeds.

    β†’ 8:00 PM, Apr 24
  • Weekly Roundup: Apr 18, 2025

    Working for a small agency I am fortunate to work on a number of fast moving projects simultaneously. For years I’ve failed to document what I do during the week but I’m going a little recap of my week. One part historical record, one part general interest. I’m posting it on my blog in the off chance that somebody reads it and, facing a similar problem will reach out I’m always happy to discuss what worked for me and what didn’t work. It also doesn’t hurt to put this stuff into the world to show that yes I actually do work; I haven’t always had the most active GitHub but most of my client projects a private/propriety. I’m easing into this, all week I was looking forward to this post; now, however, I realize I should have been working on this not cramming it in from memory on a Friday night.

    This week was a balance between my ongoing Elixir projects and a newer (to me) Ruby project.

    • For the past five years I’ve either supported, or been the lead dev on a large B2B ecommerce platform which handles a few million in daily sales. Over the winter the company began consolidating their North American and European processes which includes using said platform for sales in the EU. Although the hope is that the European process will align with the North American there are some relevant differences. For example in North America the client’s product is technically considered a “raw material” which means there is no “Value Added Tax” (VAT); however in Europe, depending on the country of origin and the destination VAT may be charged, other relevant changes are shipping across borders, truck loading calculations and different invoicing procedures. At this point we are still in the research and discovery phase but I’ve been working with another developer to scope this project out and write some preliminary tests as research.
    • For another client I’ve been moving from a Quickbooks Online integration to Quickbooks Desktop, this is a multi-tenancy Elixir Phoenix app so I’ll be keeping the Online functionality and just adding a connection to Quickbooks Desktop. The API docs for QBOnline are fairly good, this is not the case with QB Desktop, it’s evident that Intuit either has the platform on life support or intentionally obfuscates the functionality to foster a consulting industry around the product. QB Desktop uses an SOAP XML type endpoint. Having wrangled fairly nasty endpoints with SAP I wanted to, if at all possible, avoid dealing directly with QB Desktop. I discovered a service called Conductor that does the bulk of the heavy lifting and allows you to hit a very concise REST endpoint.
    • Since the beginning of the year I’ve been transitioning from primarily Elixir projects at the agency to a single Ruby based product. On that front I’ve been involved in an ongoing integration with BambooHR; partnering with Bamboo to pull employee data from their endpoint.
    • On a personal front I finished the migration of this blog from Ghost back to markdown files. I still love Ghost but managing my own instance and integrating it with my Garden proved to be more management than I wanted.
    β†’ 8:00 PM, Apr 17
  • Personal Heuristic: Make it Readable

    I wrote this post back in January, just dusted it off to post today as I attempt to get back on the blogging horse.


    Today I was refactoring a small module that makes calls to an SAP endpoint. The compiler got hung up because it couldn’t find the value item. It was an easy fix, my code looked like this:

    for itm <- data do
        %{"MATNR" => material, "PSTYV" => category, "VBELN" => so} = item
        %{material: material, category: category, so: so}
    end
    

    It’s easy to spot (especially if the compiler tells you exactly where it is); in the function head I wrote itm but down below I’m looking for item. Simple; yet this is not the first time something similar has happened to me. It’s also not the first time I’ve specifically confused itm with item which led me to this conclusion: just write item every time. There is an odd switch in my brain that thinks I’m penalized by the character, and leaving e out of item will somehow make my code more terse. While technically true, it’s not worth it. It never is; just write item, everytime. People know what item is. itm is more ambiguous, not just because it only saves one letter, but it could be an abbreviation or some weird naming convention. Why put that mental load on someone, even yourself, reading through this code? This is a tiny example but it’s magnified in function names. While check_preq may be quick to type and take up less horizontal space in an editor it’s not immediately clear what this function does. I would argue that get_purchase_requisition_number is a much better function name; even if you know nothing about the function, the codebase, or programming in general you can read that and know what’s supposed to happen. Of course there are conventions, ie. ! dangerous or ? bankbook method endings in Ruby ie. exitst? will throw an error. These sorts of things require one to be a little familiar with the patterns of a language but that’s ok that just means that I can write a function get_purchase_requisition_number! and anyone familiar with Ruby or Elixir will expect the function to raise or return an explicit value (as opposed to something wrapped in an :ok tuple).

    Moving forward I’m calling things what they are even if it comes with a dash of verbosity.

    β†’ 8:00 PM, Apr 13
  • Not to rush Christmas, but I think I’ll try my hand at Advent of Code this year. It will be a good chance to play around with Rust.

    β†’ 8:00 PM, Nov 10
  • Adding a `soft_delete` to Ecto Multi pipelines

    I’m a big fan of Ecto, Elixir’s database wrapper. The Multi library lets you build up a series of operations that happen in order, if one fails the entire operation rolls back. Multi comes with the a lot of standard CRUD built in, insert/4 , update/4 , delete/4 and their bulk counterparts insert_all/5 , update_all/5 and delete_all/5 for acting on multiple records.

    I’ve been working on a project where we make use of the soft delete pattern, rather than calling delete/4 on a record we generally update/4 the record passing in a deleted_at timestamp:

    |> Multi.update(:soft_delete, fn %{customer: customer} -> 
    	Changeset.change(customer, %{deleted_at: now})
    end)
    

    This works fine, and even updating multiple records one could take this approach:

    |> Multi.update_all(:soft_delete, fn %{customers: customers} ->
    	ids = Enum.map(customers, & &1.id)
    	from(c in Customer, where: c.id in ^ids, update: [set: [deleted_at: ^now]])
    end, [])
    

    I was working on a new feature that will require a cascade of soft deletes, deleting multiple records, their associated records, their children, etc. (As the second example above is doing). Admittedly, I could have just utilized this Multi.update_all/5 and put multiple steps into the multi . However; I thought continuously mapping specific ids, passing in set: [deleted_at: ^now] was a little cumbersome and not very idiomatic. Mostly, I wanted to have a bit of fun wondering: “what if Ecto.Multi had a soft_delete_all/5 function?” Of course it doesn’t, this is a niche use case but it makes sense in this application so I dug in and found the task to be (as is the case with a lot of Elixir) surprisingly easy.

    Just like update_all/5 I wanted to make sure soft_delete_all would handle queries or functions passed in. Pattern matching here using the is_function/1 guard. This made it a fairly straightforward operation:

    @spec soft_delete_all(Multi.t(), atom(), fun() | Query.t(), keyword()) :: Multi.t()
      def soft_delete_all(multi, name, func, opts \\ [])
    
      def soft_delete_all(multi, name, func, opts) when is_function(func) do
        Multi.run(
          multi,
          name,
          operation_fun({:soft_delete_all, func, [set: [deleted_at: Timex.now()]]}, opts)
        )
      end
    
      def soft_delete_all(multi, name, queryable, opts) do
        add_operation(multi, name, {:update_all, queryable, [set: [deleted_at: Timex.now()]], opts})
      end
    

    The first function matches against functions while the second matches against a queryable. I’ll explain the distinction between both.

    Under the hood Multi is already equipped to handle functions or queryables; by reading the source of the Multi module I was able to,matches, forward along the proper structure for the Multi to run, and in another case recreate the same functionality that Multi.update_all uses. Both operation_fun/2 and add_operation/3 are nearly copy-pasted from the Multi core.

    In the first instance the multi is passed a function, something like:

    |> soft_delete_all(:remove_customer, &remove_customer/1)
    

    In this case Ecto adds a new Multi operation to the pipeline: Multi.run/3 but it needs to run the function it’s passed. It does this with operation_fun/2 . The multi has several matchers for each of the bulk operations, in my case I only needed one :soft_delete_all .

    defp operation_fun({:soft_delete_all, fun, updates}, opts) do
        fn repo, changes ->
          {:ok, repo.update_all(fun.(changes), updates, opts)}
        end
      end
    

    Again, this is identical (save the :soft_delete_all atom) to the Multi module. It runs our function which creates a query, it passes our update: [set: [deleted_at: Timex.now()]] to the query and then updates the record.

    In cases where we pass a query in:

    |> soft_delete_all(:remove_customer, Query.from(c in Customer, where: c.id == 123))
    

    We match on the next function head, here again I used Ecto’s pattern writing my own custom add_operation/3

    defp add_operation(%Multi{} = multi, name, operation) do
        %{operations: operations, names: names} = multi
    
        if MapSet.member?(names, name) do
          raise "#{Kernel.inspect(name)} is already a member of the Ecto.Multi: \n#{Kernel.inspect(multi)}"
        else
          %{multi | operations: [{name, operation} | operations], names: MapSet.put(names, name)}
        end
      end
    

    This is going to first check that the operation name isn’t already in the Multi. If it’s not, we append the operation into the Multi. This works because of the parameters we’ve passed it:

    add_operation(multi, name, {:update_all, queryable, [set: [deleted_at: Timex.now()]], opts})
      end
    

    Specifically: {:update_all, queryable, [set: [deleted_at: Timex.now()]], opts} once again, we aren’t doing anything fancy to soft delete these records, we are using Multi’s ability to :update_all with our provided queryable. The update we are making is [set: [deleted_at: Timex.now()]] .

    There you have it, it’s :update_all all the way down, which makes sense because we are updating a record instead of deleting it, but I think it’s a lot cleaner to write something like this:

    query1 = from(c in Customer, where: c.last_purchase <= ^old_date)
    query2 = from(u in User, join: c in assoc(u, :customer), on: c.last_purchase <= ^old_date)
    
    Multi.new()
    |> soft_delete_all(:customers, query1)
    |> soft_delete_all(:users, query2)
    #πŸ‘†don't judge this contrived example it's not production code
    
    β†’ 8:00 PM, Oct 20
  • TIL Struct matching in Guards

    Not so much a TIL but I always get confused with the proper syntax. You can pattern match on a struct and use it in a guard to only let through the structs you want:

    @spec address_formater(BillAddress.t() | ShipAddress.t()) :: String.t()
    def address_formatter(%struct{} = address) when struct in [BillAddress, ShipAddress] do
     ...
    end 
    
    def address_formatter(_), do: raise "AddressError :: Not my address!"
    

    As with a lot of my examples it may be a little contrived but it is based on a real world but I fixed today where address_formatter/2 was getting an %Ecto.Association.NotLoaded{} and trying to format it.

    β†’ 8:00 PM, Oct 9
  • TIL UUIDv4 vs UUIDv7

    I’ve always run with UUID v4 because it’s the default for the Ecto.UUID library in Elixir. However a coworker recommended UUID v7. Having never really looked into UUID other than to implement as a primary key the distinction was news to me.

    Effectively;

    • UUID v4 is a totally random hash that is generated and extremely unlikely to ever conflict with any other generated UUID.
    • UUID v7 also contains a random hash but is also based on a timestamp, this means you can sort them and index them.

    For further reference, yes there are UUIDs v1-v8 as of this writing. If you want a good description of each you can check out this helpful link .

    β†’ 8:00 PM, Sep 24
  • TIL INSERT INTO with SELECT constraints

    In the past month I’ve had to write a lot of SQL to migrate a system and split existing “locations” into tenants ie. migrating data from a public schema to a tenant’s schema is gets messy due to foreign key constraints. Order of operations is important but sometimes you still find yourself in a corner.

    In instances where I already have data in the tenant schema, for example customers and I need to load a subset of data from another table, eg. customer_addreses it’s possible to run the query with tenant.customers as a constraint for what your inserting:

    INSERT INTO tenant.customer_addresses SELECT * FROM public.customer_addresses AS pc WHERE EXISTS (SELECT 1 FROM tenant.customers AS tc WHERE tc.id == pc.customer_id)
    

    This will insert public.customer_addresses into tenant.customer_addresses for every teant.customer that already exists. I’ve gotten around a lot of tricky constraint issues with missing/incomplete data this way.

    β†’ 8:00 PM, Sep 17
  • Today I Learned ~D[2024-01-03]

    You can use Erlang’s tc function to see how many microseconds a function takes. For example, say you were curious if Enum.filter/2 or Kernel.--/2 took longer:

    Example:

    $iex> vals = [1, 2, 3, 4, 5]
    $iex> :timer.tc(Enum, :filter, [vals, &rem(&1, 2) == 1])
    {20, [1, 3, 5]}
    
    $iex> :timer.tc(Kernel, :--, [vals, [2, 4]])
    {3, [1, 3, 5]}
    

    Kernel.-- or vals -- [2, 4] took 3 micro seconds while Enum.filter/2 (Enum.filter(vals, & &1rem(&1, 2) == 1)) took 20.

    This is a fairly trivial example but I could see this coming in handy with larger operations. For more detailed analysis you can always use Benchee. Thanks to chriserin for helping me get the right Erlang syntax for tc

    β†’ 10:00 PM, Jan 2
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