refactor: modular architecture with unified error handling and DashMap concurrency
- Break monolithic records.rs into commands/, output/, parsing/ modules - Add lib.rs with shared types (AppError, Car, BestCarRecord, etc.) - Replace Arc<Mutex<HashMap>> with DashMap for concurrent access - Add unified AppError enum with thiserror - Add configurable CLI paths (--my-cars, --cars-db, --times-dir, --tracks-db) - Add serde deserialization for Car struct - Add CSV escaping for fields with commas/quotes/newlines - Fix track name splitting: split_once -> rsplit_once for _a handling - Add integration tests, proptest property-based tests, and unit tests - Add rustfmt.toml configuration - Update documentation (API, ARCHITECTURE, DATA_STRUCTURES, README)
This commit is contained in:
parent
9d57b18a4e
commit
a9a46ee551
24 changed files with 3541 additions and 1470 deletions
410
src/lib.rs
410
src/lib.rs
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@ -10,6 +10,7 @@
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//! - **`AnalysisContext` struct** — holds mutable analysis state (replaces global static)
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//! - **`CarCounts` struct** — aggregated per-car win counts
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//! - **`MyCarsData` struct** — parsed user data from `my_cars.json`
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//! - **`AppError` enum** — unified error type for the application
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//! - **`translate_track_name()`** — internal track code → human-readable name
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//! - **`translate_track_type()`** — condition code → surface name
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//! - **`get_file()`** — async file download utility
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@ -21,26 +22,63 @@ use std::collections::{HashMap, HashSet};
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use std::fs;
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use std::fs::File;
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use std::io::BufReader;
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use std::sync::{Arc, Mutex, OnceLock};
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use std::sync::{Arc, OnceLock};
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use dashmap::DashMap;
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use reqwest::get;
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use serde::Deserialize;
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use serde_json::Value;
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/// Custom error type for the Top Drives application.
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///
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/// Provides a unified error handling strategy across all modules,
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/// replacing the mix of `Result<(), String>`, `std::io::Result`, and
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/// silent `eprintln!` + early return patterns.
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#[derive(Debug, thiserror::Error)]
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pub enum AppError {
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/// An I/O error occurred (file not found, permission denied, etc.)
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#[error("I/O error: {0}")]
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Io(#[from] std::io::Error),
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/// A network error occurred during data fetching
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#[error("Network error: {0}")]
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Network(String),
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/// A JSON parsing error in a specific file
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#[error("Parse error in {file}: {reason}")]
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Parse {
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/// The file that failed to parse
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file: String,
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/// The reason for the parse failure
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reason: String,
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},
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/// A required data file is missing
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#[error("Missing data file: {0}")]
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MissingFile(String),
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/// An internal runtime error (e.g., semaphore closed, task join failure)
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#[error("Internal error: {0}")]
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Internal(String),
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}
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/// Core car information structure containing basic car metadata.
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/// Used throughout the application to represent car entities.
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#[derive(Debug, Clone)]
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#[derive(Debug, Clone, Deserialize)]
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pub struct Car {
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/// Unique car identifier used in the records database
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pub rid: String,
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/// Car manufacturer/brand name
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pub brand: String,
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/// Car model name (without brand)
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#[serde(rename = "onlyName")]
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pub only_name: String,
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/// Car model year
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pub year: u16,
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/// Rarity level (10-113, affects performance brackets)
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pub rq: u8,
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/// Whether this car is only available as a prize car
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#[serde(default)]
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pub prize: bool,
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/// Game-specific unique identifier for the car
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pub guid: String,
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@ -80,10 +118,13 @@ pub type TripletKey = (String, u8, String);
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///
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/// Replaces the former global `static BEST_CARS`. Created in `main()` and
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/// passed through the call chain so that no global mutable state is needed.
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///
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/// Uses `Arc<DashMap>` for concurrent access from spawned tasks.
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/// `DashMap` provides sharded internal locking for high-concurrency access.
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pub struct AnalysisContext {
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/// Best car records for each track/RQ/surface combination, protected by
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/// `Arc<Mutex<...>>` for concurrent access from spawned tasks.
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pub best_cars: Arc<Mutex<HashMap<TripletKey, Vec<BestCarRecord>>>>,
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/// Best car records for each track/RQ/surface combination.
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/// Wrapped in `Arc` so it can be shared across async tasks.
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pub best_cars: Arc<DashMap<TripletKey, Vec<BestCarRecord>>>,
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}
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impl AnalysisContext {
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@ -91,7 +132,7 @@ impl AnalysisContext {
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#[allow(clippy::new_without_default)]
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pub fn new() -> Self {
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AnalysisContext {
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best_cars: Arc::new(Mutex::new(HashMap::new())),
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best_cars: Arc::new(DashMap::new()),
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}
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}
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}
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@ -112,21 +153,19 @@ pub struct CarCounts {
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/// Computes per-car win counts from the analysis context.
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/// Returns a `CarCounts` struct that can be shared across all output functions.
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pub fn compute_car_counts(ctx: &AnalysisContext, car_list: Vec<Car>) -> CarCounts {
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let best_cars = ctx.best_cars.lock()
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.expect("best_cars mutex poisoned — another thread panicked");
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pub fn compute_car_counts(ctx: &AnalysisContext, car_list: Vec<Car>) -> Result<CarCounts, AppError> {
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let mut by_rid: HashMap<String, (BestCarRecord, usize)> = HashMap::new();
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let mut guid_to_rid: HashMap<String, String> = HashMap::new();
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for (_key, best_list) in best_cars.iter() {
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for best_car in best_list {
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let entry = by_rid
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for entry in ctx.best_cars.iter() {
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for best_car in entry.value() {
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let rid_entry = by_rid
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.entry(best_car.car_rid.clone())
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.or_insert_with(|| (best_car.clone(), 0usize));
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entry.1 += 1;
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rid_entry.1 += 1;
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// Keep the record with the best (lowest) time for this car.
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if best_car.time < entry.0.time {
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entry.0 = best_car.clone();
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if best_car.time < rid_entry.0.time {
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rid_entry.0 = best_car.clone();
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}
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// HashMap iteration order is non-deterministic, but car_rid and guid
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// have a 1:1 relationship in the data model, so any mapping is correct.
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@ -140,13 +179,14 @@ pub fn compute_car_counts(ctx: &AnalysisContext, car_list: Vec<Car>) -> CarCount
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.map(|c| (c.guid.clone(), c.clone()))
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.collect();
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CarCounts { by_rid, guid_to_rid, car_map, car_list }
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Ok(CarCounts { by_rid, guid_to_rid, car_map, car_list })
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}
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/// Parsed user data from `my_cars.json`
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///
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/// Holds both the owned car GUIDs and wishlist GUIDs extracted from a single
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/// file read, avoiding duplicate I/O.
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#[derive(Debug, Default)]
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pub struct MyCarsData {
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/// GUIDs of cars the user owns (from `playerDeck[].cardId` where `locked == true`)
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pub owned: HashSet<String>,
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@ -166,31 +206,19 @@ pub struct MyCarsData {
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///
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/// # Error Handling
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///
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/// Returns an empty `MyCarsData` (both sets empty) with a warning if the file
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/// is missing or cannot be parsed, matching the graceful degradation pattern
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/// used throughout the codebase.
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pub fn load_my_cars_data() -> MyCarsData {
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let file = match File::open("my_cars.json") {
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Ok(f) => f,
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Err(e) => {
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eprintln!("Warning: could not open my_cars.json: {e}");
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return MyCarsData {
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owned: HashSet::new(),
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wishlist: HashSet::new(),
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};
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/// Returns an `AppError` if the file cannot be opened or parsed.
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/// Use `MyCarsData::default()` for graceful degradation when the file is optional.
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pub fn load_my_cars_data(path: &str) -> Result<MyCarsData, AppError> {
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let file = File::open(path).map_err(|e| {
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if e.kind() == std::io::ErrorKind::NotFound {
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AppError::MissingFile(format!("{path}: {e}"))
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} else {
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AppError::Io(e)
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}
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};
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})?;
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let reader = BufReader::new(file);
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let json: Value = match serde_json::from_reader(reader) {
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Ok(v) => v,
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Err(e) => {
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eprintln!("Warning: could not parse my_cars.json: {e}");
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return MyCarsData {
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owned: HashSet::new(),
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wishlist: HashSet::new(),
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};
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}
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};
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let json: Value = serde_json::from_reader(reader)
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.map_err(|e| AppError::Parse { file: path.to_string(), reason: e.to_string() })?;
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// Extract owned car GUIDs from playerDeck
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let owned: HashSet<String> = json
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@ -223,7 +251,7 @@ pub fn load_my_cars_data() -> MyCarsData {
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})
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.unwrap_or_default();
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MyCarsData { owned, wishlist }
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Ok(MyCarsData { owned, wishlist })
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}
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/// Comparison function for sorting cars by RQ, then brand, then model name.
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@ -238,21 +266,87 @@ pub fn compare_cars(a: &Car, b: &Car) -> std::cmp::Ordering {
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/// Downloads a file from a URL and saves it locally.
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///
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/// Returns `Ok(())` on success, or an error describing what went wrong.
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/// Removes any existing file at the local path before downloading.
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pub async fn get_file(file_url: &str, local_file_path: &str) -> Result<(), String> {
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let _ = fs::remove_file(local_file_path);
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///
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/// Writes to a temporary file first, then renames on success, so a failed
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/// download never deletes the existing file.
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///
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/// Retries up to `MAX_FETCH_RETRIES` times on transient failures (server errors,
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/// connection errors, or empty responses). Permanent HTTP errors (4xx) fail immediately.
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pub async fn get_file(file_url: &str, local_file_path: &str) -> Result<(), AppError> {
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/// Maximum number of retries when the server returns an empty response.
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const MAX_FETCH_RETRIES: usize = 3;
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match get(file_url).await {
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Ok(response) => {
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match response.text().await {
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Ok(content) => {
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fs::write(local_file_path, content)
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.map_err(|e| format!("Error writing {local_file_path}: {e}"))
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let tmp_path = format!("{local_file_path}.tmp");
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let _ = fs::remove_file(&tmp_path); // clean stale temp file, OK to ignore
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let mut attempt = 0usize;
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loop {
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match get(file_url).await {
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Ok(response) => {
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let status = response.status();
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if !status.is_success() {
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// Only retry on server errors (5xx); client errors (4xx) are permanent.
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if status.is_server_error() && attempt < MAX_FETCH_RETRIES {
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eprintln!(
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"Warning: HTTP {} from {file_url} (attempt {}/{MAX_FETCH_RETRIES}), retrying...",
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status,
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attempt + 1,
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);
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tokio::time::sleep(
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std::time::Duration::from_millis(500 * (attempt + 1) as u64)
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).await;
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attempt += 1;
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continue;
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}
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return Err(AppError::Network(
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format!("HTTP {status} from {file_url}")
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));
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}
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Err(e) => Err(format!("Error reading response from {file_url}: {e}")),
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match response.text().await {
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Ok(content) => {
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if content.is_empty() {
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if attempt < MAX_FETCH_RETRIES {
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eprintln!(
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"Warning: empty response from {file_url} (attempt {}/{MAX_FETCH_RETRIES}), retrying...",
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attempt + 1,
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);
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tokio::time::sleep(
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std::time::Duration::from_millis(500 * (attempt + 1) as u64)
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).await;
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attempt += 1;
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continue;
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}
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return Err(AppError::Network(
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format!("Empty response from {file_url} after {MAX_FETCH_RETRIES} retries")
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));
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}
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fs::write(&tmp_path, &content).map_err(AppError::Io)?;
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return fs::rename(&tmp_path, local_file_path).map_err(AppError::Io);
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}
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Err(e) => {
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return Err(AppError::Network(
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format!("Error reading response from {file_url}: {e}")
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));
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}
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}
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}
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Err(error) => {
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if attempt < MAX_FETCH_RETRIES {
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eprintln!(
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"Warning: failed to fetch {file_url} (attempt {}/{MAX_FETCH_RETRIES}): {error}",
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attempt + 1,
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);
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tokio::time::sleep(
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std::time::Duration::from_millis(500 * (attempt + 1) as u64)
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).await;
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attempt += 1;
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continue;
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}
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return Err(AppError::Network(
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format!("Failed to fetch {file_url} after {MAX_FETCH_RETRIES} retries: {error}")
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));
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}
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}
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Err(error) => Err(format!("Failed to fetch {file_url}: {error}")),
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}
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}
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@ -343,3 +437,217 @@ pub fn translate_track_name(track_code: &str) -> String {
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.cloned()
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.unwrap_or_else(|| track_code.to_string())
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}
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/// Escapes a field for safe inclusion in a CSV file.
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///
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/// If the field contains a comma, quote, newline, or carriage return,
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/// it is wrapped in double-quotes with internal quotes doubled.
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pub fn escape_csv_field(field: &str) -> String {
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if field.contains(',') || field.contains('"') || field.contains('\n') || field.contains('\r') {
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format!("\"{}\"", field.replace('"', "\"\""))
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} else {
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field.to_string()
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_translate_track_name() {
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assert_eq!(translate_track_name("laguna"), "Laguna Seca");
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assert_eq!(translate_track_name("mnCity"), "Monaco Streets");
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assert_eq!(translate_track_name("testBowl"), "Test Bowl");
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assert_eq!(translate_track_name("unknown_track"), "unknown_track");
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assert_eq!(translate_track_name("drag100"), "0-100mph");
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assert_eq!(translate_track_name("mile4"), "1/4 Mile Drag");
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}
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#[test]
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fn test_translate_track_type() {
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assert_eq!(translate_track_type("00"), "Dry");
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assert_eq!(translate_track_type("01"), "Wet");
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assert_eq!(translate_track_type("10"), "Dirt");
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assert_eq!(translate_track_type("11"), "Dirt Wet");
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assert_eq!(translate_track_type("30"), "Ice");
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assert_eq!(translate_track_type("60"), "Snow");
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assert_eq!(translate_track_type("99"), "99");
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}
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#[test]
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fn test_track_name_completeness() {
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let test_tracks = vec![
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"laguna",
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"mnCity",
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"testBowl",
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"drag100",
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"mile4",
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"airplaneHangars",
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"dealsGap",
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"northloop",
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];
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for track in test_tracks {
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let name = translate_track_name(track);
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assert_ne!(name, track, "Track {} should have a proper name mapping", track);
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assert!(!name.is_empty(), "Track name should not be empty");
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}
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}
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#[test]
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fn test_condition_completeness() {
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let test_conditions = vec!["00", "01", "10", "11", "20", "30", "40", "41", "50", "60"];
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for condition in test_conditions {
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let name = translate_track_type(condition);
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assert_ne!(name, condition, "Condition {} should have a proper name mapping", condition);
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assert!(!name.is_empty(), "Condition name should not be empty");
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}
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}
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#[test]
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fn test_compare_cars_ordering() {
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let car_a = Car {
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rid: "A".to_string(), brand: "BMW".to_string(), only_name: "M3".to_string(),
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year: 2020, rq: 80, prize: false, guid: "guid_a".to_string(),
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};
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let car_b = Car {
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rid: "B".to_string(), brand: "Audi".to_string(), only_name: "RS6".to_string(),
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year: 2021, rq: 90, prize: false, guid: "guid_b".to_string(),
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};
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let car_c = Car {
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rid: "C".to_string(), brand: "BMW".to_string(), only_name: "M5".to_string(),
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year: 2022, rq: 80, prize: false, guid: "guid_c".to_string(),
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};
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// Lower RQ sorts first
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assert_eq!(compare_cars(&car_a, &car_b), std::cmp::Ordering::Less);
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// Same RQ, same brand, then model alphabetically (M3 < M5)
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assert_eq!(compare_cars(&car_a, &car_c), std::cmp::Ordering::Less);
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// Higher RQ sorts last
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assert_eq!(compare_cars(&car_b, &car_a), std::cmp::Ordering::Greater);
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}
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|
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#[test]
|
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fn test_compute_car_counts_basic() {
|
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let ctx = AnalysisContext::new();
|
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let record = BestCarRecord {
|
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car_rid: "Test_Car".to_string(),
|
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brand: "TestBrand".to_string(),
|
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only_name: "TestModel".to_string(),
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year: 2020,
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rq: 85,
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config: "111".to_string(),
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time: 100.0,
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owned: true,
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prize: false,
|
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guid: "guid_test".to_string(),
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};
|
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|
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// Manually insert into best_cars
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{
|
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ctx.best_cars.insert(
|
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("Laguna Seca".to_string(), 85, "Dry".to_string()),
|
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vec![record.clone()],
|
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);
|
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ctx.best_cars.insert(
|
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("Monaco Streets".to_string(), 85, "Dry".to_string()),
|
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vec![record.clone()],
|
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);
|
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}
|
||||
|
||||
let car_list = vec![Car {
|
||||
rid: "Test_Car".to_string(),
|
||||
brand: "TestBrand".to_string(),
|
||||
only_name: "TestModel".to_string(),
|
||||
year: 2020,
|
||||
rq: 85,
|
||||
prize: false,
|
||||
guid: "guid_test".to_string(),
|
||||
}];
|
||||
|
||||
let counts = compute_car_counts(&ctx, car_list).unwrap();
|
||||
|
||||
// Should have exactly 1 entry in by_rid
|
||||
assert_eq!(counts.by_rid.len(), 1);
|
||||
let (rec, count) = counts.by_rid.get("Test_Car").unwrap();
|
||||
assert_eq!(count, &2); // best on 2 tracks
|
||||
assert_eq!(rec.car_rid, "Test_Car");
|
||||
|
||||
// guid_to_rid should map guid → rid
|
||||
assert_eq!(counts.guid_to_rid.get("guid_test"), Some(&"Test_Car".to_string()));
|
||||
|
||||
// car_map should have the car
|
||||
assert!(counts.car_map.contains_key("guid_test"));
|
||||
assert_eq!(counts.car_list.len(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_compute_car_counts_keeps_best_time() {
|
||||
let ctx = AnalysisContext::new();
|
||||
|
||||
let record_fast = BestCarRecord {
|
||||
car_rid: "Car_A".to_string(),
|
||||
brand: "Brand".to_string(),
|
||||
only_name: "Model".to_string(),
|
||||
year: 2020,
|
||||
rq: 85,
|
||||
config: "111".to_string(),
|
||||
time: 90.0,
|
||||
owned: false,
|
||||
prize: false,
|
||||
guid: "guid_a".to_string(),
|
||||
};
|
||||
let record_slow = BestCarRecord {
|
||||
car_rid: "Car_A".to_string(),
|
||||
brand: "Brand".to_string(),
|
||||
only_name: "Model".to_string(),
|
||||
year: 2020,
|
||||
rq: 85,
|
||||
config: "233".to_string(),
|
||||
time: 110.0,
|
||||
owned: false,
|
||||
prize: false,
|
||||
guid: "guid_a".to_string(),
|
||||
};
|
||||
|
||||
{
|
||||
ctx.best_cars.insert(
|
||||
("Track1".to_string(), 85, "Dry".to_string()),
|
||||
vec![record_fast],
|
||||
);
|
||||
ctx.best_cars.insert(
|
||||
("Track2".to_string(), 85, "Dry".to_string()),
|
||||
vec![record_slow],
|
||||
);
|
||||
}
|
||||
|
||||
let counts = compute_car_counts(&ctx, vec![]).unwrap();
|
||||
let (rec, count) = counts.by_rid.get("Car_A").unwrap();
|
||||
assert_eq!(*count, 2);
|
||||
assert_eq!(rec.time, 90.0); // Should keep the faster time
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_escape_csv_field() {
|
||||
// Simple field — no escaping needed
|
||||
assert_eq!(escape_csv_field("hello"), "hello");
|
||||
// Field with comma
|
||||
assert_eq!(escape_csv_field("hello,world"), "\"hello,world\"");
|
||||
// Field with quote
|
||||
assert_eq!(escape_csv_field("say \"hi\""), "\"say \"\"hi\"\"\"");
|
||||
// Field with newline
|
||||
assert_eq!(escape_csv_field("line1\nline2"), "\"line1\nline2\"");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_load_my_cars_data_missing_file() {
|
||||
let result = load_my_cars_data("nonexistent_file.json");
|
||||
assert!(result.is_err());
|
||||
match result.unwrap_err() {
|
||||
AppError::MissingFile(msg) => assert!(msg.contains("nonexistent_file.json")),
|
||||
other => panic!("Expected MissingFile error, got: {other}"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue