top_drives/tests/integration_tests.rs

//! Integration tests for the Top Drives Records Analyzer.
//!
//! These tests exercise the full analysis pipeline with fixture data,
//! verifying end-to-end correctness from parsing through CSV output.

use std::fs;
use std::io::Write;

use top_drives::{
    AnalysisContext, BestCarRecord, Car,
    compare_cars, compute_car_counts, escape_csv_field, load_my_cars_data,
    translate_track_name, translate_track_type,
};
use top_drives::test_utils::{make_record, make_car};

// =======================================================================
// Integration: AnalysisContext → CarCounts pipeline
// =======================================================================

#[test]
fn test_full_pipeline_empty_input() {
    let ctx = AnalysisContext::new();
    let car_list: Vec<Car> = vec![];
    let counts = compute_car_counts(&ctx, car_list);

    assert!(counts.by_rid.is_empty());
    assert!(counts.guid_to_rid.is_empty());
    assert!(counts.car_map.is_empty());
}

#[test]
fn test_full_pipeline_single_car_multiple_tracks() {
    let ctx = AnalysisContext::new();
    let rec = make_record("Ferrari_F40", 95, 88.5, "guid_f40");

    // Simulate the car being best on 20 tracks
    for i in 0..20 {
        ctx.best_cars.insert(
            (format!("Track{i}"), 95, "Dry".to_string()),
            vec![rec.clone()],
        );
    }

    let car = make_car("Ferrari_F40", 95, "guid_f40");
    let counts = compute_car_counts(&ctx, vec![car]);

    assert_eq!(counts.by_rid.len(), 1);
    let (rec, count) = counts.by_rid.get("Ferrari_F40").unwrap();
    assert_eq!(*count, 20);
    assert_eq!(rec.time, 88.5);

    // Verify guid_to_rid mapping
    assert_eq!(
        counts.guid_to_rid.get("guid_f40"),
        Some(&"Ferrari_F40".to_string())
    );

    // Verify car_map
    assert!(counts.car_map.contains_key("guid_f40"));
}

#[test]
fn test_full_pipeline_multiple_cars_different_rq() {
    let ctx = AnalysisContext::new();

    // Car A: RQ 80, best on 5 tracks
    let rec_a = make_record("Car_A", 80, 100.0, "guid_a");
    for i in 0..5 {
        ctx.best_cars.insert(
            (format!("Track{i}"), 80, "Dry".to_string()),
            vec![rec_a.clone()],
        );
    }

    // Car B: RQ 90, best on 12 tracks
    let rec_b = make_record("Car_B", 90, 95.0, "guid_b");
    for i in 0..12 {
        ctx.best_cars.insert(
            (format!("TrackB{i}"), 90, "Dry".to_string()),
            vec![rec_b.clone()],
        );
    }

    // Car C: RQ 100, best on 8 tracks
    let rec_c = make_record("Car_C", 100, 85.0, "guid_c");
    for i in 0..8 {
        ctx.best_cars.insert(
            (format!("TrackC{i}"), 100, "Dry".to_string()),
            vec![rec_c.clone()],
        );
    }

    let car_list = vec![
        make_car("Car_A", 80, "guid_a"),
        make_car("Car_B", 90, "guid_b"),
        make_car("Car_C", 100, "guid_c"),
    ];

    let counts = compute_car_counts(&ctx, car_list);

    assert_eq!(counts.by_rid.len(), 3);

    let (_, count_a) = counts.by_rid.get("Car_A").unwrap();
    assert_eq!(*count_a, 5);

    let (_, count_b) = counts.by_rid.get("Car_B").unwrap();
    assert_eq!(*count_b, 12);

    let (_, count_c) = counts.by_rid.get("Car_C").unwrap();
    assert_eq!(*count_c, 8);
}

// =======================================================================
// Integration: CSV output correctness
// =======================================================================

#[test]
fn test_csv_output_field_ordering() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("output.csv");
    let path_str = path.to_str().unwrap();

    let rec = BestCarRecord {
        car_rid: "Test".to_string(),
        brand: "BMW".to_string(),
        only_name: "M3".to_string(),
        year: 2023,
        rq: 85,
        config: "111".to_string(),
        time: 100.0,
        owned: true,
        prize: false,
        guid: "guid_test".to_string(),
    };
    let entries = vec![(rec, 7)];

    // Write with the standard format
    {
        let mut file = fs::File::create(path_str).unwrap();
        writeln!(file, "RQ,Brand,Model,Year,Count").unwrap();
        for (rec, count) in &entries {
            writeln!(
                file,
                "{},{},{},{},{}",
                rec.rq,
                escape_csv_field(&rec.brand),
                escape_csv_field(&rec.only_name),
                rec.year,
                count
            )
            .unwrap();
        }
    }

    let content = fs::read_to_string(&path).unwrap();
    let lines: Vec<&str> = content.lines().collect();
    assert_eq!(lines[0], "RQ,Brand,Model,Year,Count");
    assert_eq!(lines[1], "85,BMW,M3,2023,7");
}

#[test]
fn test_csv_escaping_in_output() {
    // Verify that fields containing commas and quotes are properly escaped
    let field = escape_csv_field("Alfa Romeo, Inc.");
    assert_eq!(field, "\"Alfa Romeo, Inc.\"");

    let field = escape_csv_field("Model \"Sport\"");
    assert_eq!(field, "\"Model \"\"Sport\"\"\"");
}

// =======================================================================
// Integration: Track name translation pipeline
// =======================================================================

#[test]
fn test_track_translation_pipeline() {
    // Verify the full chain: raw track code → translated name
    let raw_codes = vec![
        ("laguna", "Laguna Seca"),
        ("mnCity", "Monaco Streets"),
        ("testBowl", "Test Bowl"),
        ("drag100", "0-100mph"),
        ("northloop", "North Loop"),
    ];

    for (code, expected) in raw_codes {
        assert_eq!(translate_track_name(code), expected);
    }

    // Unknown codes should pass through unchanged
    assert_eq!(translate_track_name("futureTrack"), "futureTrack");
}

#[test]
fn test_condition_translation_pipeline() {
    let conditions = vec![
        ("00", "Dry"),
        ("01", "Wet"),
        ("10", "Dirt"),
        ("11", "Dirt Wet"),
        ("60", "Snow"),
    ];

    for (code, expected) in conditions {
        assert_eq!(translate_track_type(code), expected);
    }

    assert_eq!(translate_track_type("99"), "99");
}

// =======================================================================
// Integration: Ownership filtering
// =======================================================================

#[test]
fn test_ownership_filtering_in_counts() {
    let ctx = AnalysisContext::new();

    // Two cars: one owned, one not
    let mut rec_owned = make_record("Owned_Car", 85, 100.0, "guid_owned");
    rec_owned.owned = true;
    let rec_unowned = make_record("Unowned_Car", 90, 95.0, "guid_unowned");

    for i in 0..10 {
        ctx.best_cars.insert(
            (format!("Track{i}"), 85, "Dry".to_string()),
            vec![rec_owned.clone()],
        );
        ctx.best_cars.insert(
            (format!("Track{i}"), 90, "Dry".to_string()),
            vec![rec_unowned.clone()],
        );
    }

    let car_list = vec![
        make_car("Owned_Car", 85, "guid_owned"),
        make_car("Unowned_Car", 90, "guid_unowned"),
    ];

    let counts = compute_car_counts(&ctx, car_list);

    // Both should be in by_rid
    assert_eq!(counts.by_rid.len(), 2);

    // Verify ownership is reflected in the records
    let (owned_rec, _) = counts.by_rid.get("Owned_Car").unwrap();
    assert!(owned_rec.owned);

    let (unowned_rec, _) = counts.by_rid.get("Unowned_Car").unwrap();
    assert!(!unowned_rec.owned);
}

// =======================================================================
// Integration: load_my_cars_data with fixture file
// =======================================================================

#[test]
fn test_load_my_cars_data_with_fixture() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("my_cars.json");

    let json = r#"{
        "playerDeck": [
            { "cardId": "guid_a", "locked": true },
            { "cardId": "guid_b", "locked": false },
            { "cardId": "guid_c", "locked": true }
        ],
        "wishlists": [
            { "cards": ["guid_d", "guid_e"] }
        ]
    }"#;
    fs::write(&path, json).unwrap();

    let data = load_my_cars_data(path.to_str().unwrap()).unwrap();

    // Only locked cards are owned
    assert_eq!(data.owned.len(), 2);
    assert!(data.owned.contains("guid_a"));
    assert!(data.owned.contains("guid_c"));
    assert!(!data.owned.contains("guid_b"));

    // Wishlist
    assert_eq!(data.wishlist.len(), 2);
    assert!(data.wishlist.contains("guid_d"));
    assert!(data.wishlist.contains("guid_e"));
}

#[test]
fn test_load_my_cars_data_empty_wishlist() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("my_cars.json");

    let json = r#"{
        "playerDeck": [
            { "cardId": "guid_a", "locked": true }
        ]
    }"#;
    fs::write(&path, json).unwrap();

    let data = load_my_cars_data(path.to_str().unwrap()).unwrap();

    assert_eq!(data.owned.len(), 1);
    assert!(data.wishlist.is_empty());
}

// =======================================================================
// Integration: Sorting consistency
// =======================================================================

#[test]
fn test_sorting_consistency_between_car_and_record() {
    // compare_cars and compare_records should produce the same relative ordering
    let car_a = Car {
        rid: "A".to_string(),
        brand: "BMW".to_string(),
        only_name: "M3".to_string(),
        year: 2020,
        rq: 85,
        prize: false,
        guid: "guid_a".to_string(),
    };
    let car_b = Car {
        rid: "B".to_string(),
        brand: "Audi".to_string(),
        only_name: "RS6".to_string(),
        year: 2021,
        rq: 90,
        prize: false,
        guid: "guid_b".to_string(),
    };

    // compare_cars sorts by RQ first, so A (85) < B (90)
    assert_eq!(compare_cars(&car_a, &car_b), std::cmp::Ordering::Less);
}