use frontmatter

doordesk/Cargo.lock

@@ -89,6 +89,7 @@ dependencies = [
  "leptos_router",
  "serde",
  "thiserror",
+ "toml 0.8.8",
 ]
 
 [[package]]

doordesk/app/Cargo.toml

@@ -16,6 +16,7 @@ cfg-if.workspace = true
 thiserror.workspace = true
 serde = "1.0.195"
 femark = { version = "0.1.5", optional = true }
+toml = "0.8.8"
 
 [features]
 default = []

doordesk/app/src/components/slingshot.rs

@@ -1,5 +1,14 @@
 use crate::components::article::ArticleData;
 use leptos::*;
+use serde::Deserialize;
+
+// Can this merge with ArticleData somehow?
+#[derive(Deserialize)]
+struct TomlData {
+    content_type: String,
+    title: String,
+    date: String,
+}
 
 #[server]
 pub async fn slingshot(path: String) -> Result<Vec<ArticleData>, ServerFnError> {
@@ -18,12 +27,17 @@ pub async fn slingshot(path: String) -> Result<Vec<ArticleData>, ServerFnError>
                             .expect("Problem processing markdown");
                     let content = html_from_md.content;
                     let _toc = html_from_md.toc;
-                    let _frontmatter = html_from_md.frontmatter;
+                    let frontmatter = html_from_md
+                        .frontmatter
+                        .expect(&format!("error getting frontmatter for {}", &file).to_string());
+
+                    let toml: TomlData =
+                        toml::from_str(&frontmatter.code_block.unwrap().source).unwrap();
 
                     articles.push(ArticleData {
-                        content_type: String::from("Blog"),
-                        title: String::from("Test article"),
-                        date: String::from("12/21/2022"),
+                        content_type: toml.content_type,
+                        title: toml.title,
+                        date: toml.date,
                         content,
                     })
                 }

doordesk/public/static/blog/20220207-swim.md

@@ -1,6 +1,8 @@
-Content_Type: blog
-Title: Hume
-Date: 2022 2 7
+```toml
+content_type = "blog"
+title = "Hume"
+date = "2022 2 7"
+```
 
 <p style="text-align: right;">
     April 22, 1958<br />

doordesk/public/static/blog/20220506-change.md

@@ -1,6 +1,8 @@
-Content_Type: blog
-Title: Change
-Date: 2022 5 6
+```toml
+content_type = "blog"
+title = "Change"
+date = "2022 5 6"
+```
 
 <p style="text-align: center;">
     <i>"Life should not be a journey to the grave with the intention of arriving safely in
@@ -10,6 +12,7 @@ Date: 2022 5 6
     <br />
     (Hunter S.Thompson)
 </p>
+
 There comes a time in one's life, perhaps multiple, when there
 is an unquestionable need for change. Maybe you're not sure how, why, or where it came
 from, or where even it is you're headed, or how to get there, but here you are taking

doordesk/public/static/blog/20220520-nvidia.md

@@ -1,6 +1,8 @@
-Content_Type: blog
-Title: It's about time, NVIDIA
-Date: 2022 5 20
+```toml
+content_type = "blog"
+title = "It's about time, NVIDIA"
+date = "2022 5 20"
+```
 
 It's about time... NVIDIA has finally released and is starting to
 support Open-source software with their new modules released recently for the Linux

doordesk/public/static/blog/20220602-back.md

@@ -1,22 +1,24 @@
-Content_Type: blog
-Title: Back to School
-Date: 2022 6 2
+```toml
+content_type = "blog"
+title = "Back to School"
+date = "2022 6 2"
+```
 
 ### Where the hell have I been!?
 
 Looking back at the past 5 weeks, it's impressive the amount of new things that have
 been shoved in my face. A list I'll try to make contains:
 
-* [Python](https://www.python.org)
-* [Pandas](https://pandas.pydata.org)
-* [Matplotlib](https://matplotlib.org)
-* [Seaborn](https://seaborn.pydata.org)
-* [Statsmodels](https://www.statsmodels.org)
-* [Scikit-Learn](https://scikit-learn.org)
-* [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup) 
-* [Selenium](https://www.selenium.dev)
-* [PRAW](https://github.com/praw-dev/praw)
-* Plus the math and background to go with it all!
+- [Python](https://www.python.org)
+- [Pandas](https://pandas.pydata.org)
+- [Matplotlib](https://matplotlib.org)
+- [Seaborn](https://seaborn.pydata.org)
+- [Statsmodels](https://www.statsmodels.org)
+- [Scikit-Learn](https://scikit-learn.org)
+- [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup)
+- [Selenium](https://www.selenium.dev)
+- [PRAW](https://github.com/praw-dev/praw)
+- Plus the math and background to go with it all!
 
 It doesn't seem like much at the time except chaos, but then about a week later it
 finally sets in. After tomorrow we'll be halfway through the course and while I guess

doordesk/public/static/blog/20220701-progress.md

@@ -1,6 +1,8 @@
-Content_Type: blog
-Title: It's a post about nothing!
-Date: 2022 7 1
+```toml
+content_type = "blog"
+title = "It's a post about nothing!"
+date = "2022 7 1"
+```
 
 The progress update
 

doordesk/public/static/games/adam.md

@@ -1,6 +1,8 @@
-Content_Type: game
-Title: adam
-Date: 2022 9 11
+```toml
+content_type = "game"
+title = "adam"
+date = "2022 9 11"
+```
 
 [adam](https://old.doordesk.net/games/adam/) is a quick fps demo to test how well WebGL
 performs using [Unity](https://unity.com).

doordesk/public/static/games/balls.md

@@ -1,6 +1,8 @@
-Content_Type: game
-Title: balls
-Date: 2022 9 13
+```toml
+content_type = "game"
+title = "balls"
+date = "2022 9 13"
+```
 
 [balls](https://old.doordesk.net/games/balls/) is another demo to test WebGL performance.
 This time using [Godot Engine](https://godotengine.org/).

doordesk/public/static/games/fps.md

@@ -1,6 +1,8 @@
-Content_Type: game
-Title: fps
-Date: 2022 10 9
+```toml
+content_type = "game"
+title = "fps"
+date = "2022 10 9"
+```
 
 [fps](https://old.doordesk.net/games/fps/) is a Godot/WebGL experiment from scratch with
 multiplayer using websockets and a master/slave architecture. Invite a friend or open multiple instances!

doordesk/public/static/games/snek.md

@@ -1,5 +1,7 @@
-Content_Type: game
-Title: snek
-Date: 2022 5 20
+```toml
+content_type = "game"
+title = "snek"
+date = "2022 5 20"
+```
 
 [snek](https://old.doordesk.net/snek) is a simple snake game made with JS/Canvas.

doordesk/public/static/projects/20220529-housing.md

@@ -1,6 +1,8 @@
-Content_Type: project
-Title: Predicting Housing Prices
-Date: 2022 5 29
+```toml
+content_type = "project"
+title = "Predicting Housing Prices"
+date = "2022 5 29"
+```
 
 A recent project I had for class was to use [scikit-learn](https://scikit-learn.org/stable/index.html) to create a regression model that will predict the price of a house based on some features of that house.
 

doordesk/public/static/projects/20220614-reddit.md

@@ -1,6 +1,8 @@
-Content_Type: project
-Title: What goes into a successful Reddit post?
-Date: 2022 6 16
+```toml
+content_type = "project"
+title = "What goes into a successful Reddit post?"
+date = "2022 6 16"
+```
 
 In an attempt to find out what about a Reddit post makes it successful I will use some
 classification models to try to determine which features have the highest influence on

doordesk/public/static/projects/20221020-cartman.md

@@ -1,6 +1,8 @@
-Content_Type: project
-Title: Cartman is public!
-Date: 2022 10 20
+```toml
+content_type = "project"
+title = "Cartman is public!"
+date = "2022 10 20"
+```
 
 [Cartman](https://old.doordesk.net/cartman) is trained by combining Microsoft's
 [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium)

doordesk/public/static/projects/20230427-lightning.md

@@ -1,6 +1,8 @@
-Content_Type: project
-Title: Lightning
-Date: 2023 4 27
+```toml
+content_type = "project"
+title = "Lightning"
+date = "2023 4 27"
+```
 
 [Lightning](https://lightning.doordesk.net) is a mapping/data vis project for finding
 EV charging stations. It uses [Martin](https://github.com/maplibre/martin) to serve