use anyhow::{bail, Context, Error, Result}; use serde::Deserialize; use std::fs; // The mode of the exercise. #[derive(Deserialize, Copy, Clone)] #[serde(rename_all = "lowercase")] pub enum Mode { // The exercise should be compiled as a binary Run, // The exercise should be compiled as a test harness Test, // The exercise should be linted with clippy Clippy, } // Deserialized from the `info.toml` file. #[derive(Deserialize)] pub struct ExerciseInfo { // Name of the exercise pub name: String, // The exercise's directory inside the `exercises` directory pub dir: Option, // The mode of the exercise pub mode: Mode, // The hint text associated with the exercise pub hint: String, } impl ExerciseInfo { pub fn path(&self) -> String { if let Some(dir) = &self.dir { format!("exercises/{dir}/{}.rs", self.name) } else { format!("exercises/{}.rs", self.name) } } } #[derive(Deserialize)] pub struct InfoFile { pub welcome_message: Option, pub final_message: Option, pub exercises: Vec, } impl InfoFile { pub fn parse() -> Result { // Read a local `info.toml` if it exists. let slf: Self = match fs::read_to_string("info.toml") { Ok(file_content) => toml_edit::de::from_str(&file_content) .context("Failed to parse the `info.toml` file")?, Err(e) => match e.kind() { std::io::ErrorKind::NotFound => { toml_edit::de::from_str(include_str!("../info.toml")) .context("Failed to parse the embedded `info.toml` file")? } _ => return Err(Error::from(e).context("Failed to read the `info.toml` file")), }, }; if slf.exercises.is_empty() { bail!("{NO_EXERCISES_ERR}"); } let mut names_set = hashbrown::HashSet::with_capacity(slf.exercises.len()); for exercise in &slf.exercises { if !names_set.insert(exercise.name.as_str()) { bail!("Exercise names must all be unique!") } } drop(names_set); Ok(slf) } } const NO_EXERCISES_ERR: &str = "There are no exercises yet! If you are developing third-party exercises, add at least one exercise before testing.";