Fix remove.csv to include wishlist cars not best on any track

Previously, wishlist cars that weren't best on any track were silently
dropped from remove.csv. Now uses car_map as fallback to include all
non-ideal wishlist cars with available metadata, using an intermediate
RemoveEntry struct. Adds test coverage for this scenario.

src/output/mod.rs

@@ -320,30 +320,61 @@ pub fn write_wishlist_files(
     )?;
 
     // --- remove.csv (wishlist cars not in the ideal set) ---
-    // Single pass: collect found entries and count dropped ones together.
+    // Use a struct that can represent both best-cars entries (with count) and
+    // cars only in the car_map (without count info).
+    struct RemoveEntry {
+        brand: String,
+        only_name: String,
+        year: u16,
+        rq: u8,
+        normalized_config: String,
+        track_count: usize,
+    }
+
+    // Single pass: collect entries, using car_map as fallback for cars not in best data.
     let mut dropped_count = 0usize;
-    let to_remove: Vec<_> = wishlist
+    let to_remove: Vec<RemoveEntry> = wishlist
         .iter()
         .filter(|guid| !ideal_guids.contains(*guid))
         .filter_map(|guid| {
+            // First try: find the best entry for this car (if it's best on any track)
             if let Some(keys) = counts.guid_to_rid.get(guid) {
                 // Pick the entry with the highest count (most impactful config)
-                keys.iter()
+                if let Some(key) = keys.iter()
                     .max_by_key(|key| counts.by_rid.get(key).map(|(_, c)| *c).unwrap_or(0))
-                    .and_then(|key| counts.by_rid.get(key).cloned())
-                    .or_else(|| {
-                        dropped_count += 1;
-                        None
-                    })
-            } else {
-                dropped_count += 1;
-                None
+                {
+                    if let Some((record, count)) = counts.by_rid.get(key) {
+                        return Some(RemoveEntry {
+                            brand: record.brand.clone(),
+                            only_name: record.only_name.clone(),
+                            year: record.year,
+                            rq: record.rq,
+                            normalized_config: record.normalized_config.clone(),
+                            track_count: *count,
+                        });
                     }
+                }
+            }
+
+            // Fallback: use car_map for cars not in best data (not best on any track)
+            if let Some(car) = counts.car_map.get(guid) {
+                return Some(RemoveEntry {
+                    brand: car.brand.clone(),
+                    only_name: car.only_name.clone(),
+                    year: car.year,
+                    rq: car.rq,
+                    normalized_config: String::new(), // No config info available
+                    track_count: 0,                     // Not best on any track
+                });
+            }
+
+            dropped_count += 1;
+            None
         })
         .collect();
     if dropped_count > 0 {
         eprintln!(
-            "Warning: {dropped_count} wishlist car(s) not found in best cars data and omitted from remove.csv"
+            "Warning: {dropped_count} wishlist car(s) not found in cars database and omitted from remove.csv"
         );
     }
 
@@ -352,8 +383,24 @@ pub fn write_wishlist_files(
         "remove.csv",
         "RQ,Brand,Model,Year,FinalBuild,Count",
         &to_remove,
-        |a, b| compare_records(&a.0, &b.0),
-        format_counted_row,
+        |a, b| {
+            a.rq.cmp(&b.rq)
+                .then(a.normalized_config.cmp(&b.normalized_config))
+                .then(a.brand.cmp(&b.brand))
+                .then(a.only_name.cmp(&b.only_name))
+        },
+        |entry, file| {
+            writeln!(
+                file,
+                "{},{},{},{},{},{}",
+                entry.rq,
+                escape_csv_field(&entry.brand),
+                escape_csv_field(&entry.only_name),
+                entry.year,
+                entry.normalized_config,
+                entry.track_count
+            )
+        },
     )?;
 
     Ok(())
@@ -894,4 +941,55 @@ mod tests {
 
         assert_eq!(count, 0, "Car already at final build should not appear in improve.csv");
     }
+
+    // =======================================================================
+    // remove.csv tests for cars not in best cars data
+    // =======================================================================
+
+    #[test]
+    fn test_wishlist_removes_cars_not_in_best_data() {
+        // This tests the fix: cars on the wishlist that are NOT best on any track
+        // should still be included in remove.csv (using car_map as fallback)
+        let ctx = AnalysisContext::new();
+
+        // Only Car_A is best on tracks
+        let rec_a = make_record("Car_A", 85, 100.0, "guid_a");
+        for i in 0..15 {
+            ctx.best_cars.insert((format!("Track{i}"), 85, "Dry".to_string()), vec![rec_a.clone()]);
+        }
+
+        // Car_B and Car_C are NOT best on any track (they only exist in the car list)
+        let car_list = vec![
+            make_car("Car_A", 85, "guid_a"), // best on tracks
+            make_car("Car_B", 90, "guid_b"), // NOT best on any track
+            make_car("Car_C", 75, "guid_c"), // NOT best on any track
+        ];
+        let counts = compute_car_counts(&ctx, car_list, empty_my_data());
+
+        let dir = tempfile::tempdir().unwrap();
+        let output_dir = dir.path().to_str().unwrap();
+
+        // Wishlist contains: guid_a (best car - should stay), guid_b (not best - should be removed), guid_c (not best - should be removed)
+        let wishlist: HashSet<String> = vec![
+            "guid_a".to_string(),
+            "guid_b".to_string(),
+            "guid_c".to_string(),
+        ]
+        .into_iter()
+        .collect();
+
+        write_wishlist_files(output_dir, &counts, &HashSet::new(), &wishlist, 10, 300).unwrap();
+
+        // Check remove.csv exists and contains both cars not in best data
+        let remove_path = dir.path().join("remove.csv");
+        let content = fs::read_to_string(&remove_path).unwrap();
+        let lines: Vec<&str> = content.lines().collect();
+
+        // Should have header + 2 cars (guid_b and guid_c)
+        assert_eq!(lines.len(), 3, "remove.csv should have header + 2 cars, got: {:?}", lines);
+
+        // The cars should be in the file, sorted by RQ (75 first, then 90)
+        assert!(lines[1].starts_with("75,"), "First car should be RQ 75, got: {}", lines[1]);
+        assert!(lines[2].starts_with("90,"), "Second car should be RQ 90, got: {}", lines[2]);
+    }
 }