use super::*;
use domain::models::{DomainField, FieldMapping, ParsedFile, RowResult, Transform};

fn sample_file() -> ParsedFile {
    ParsedFile {
        columns: vec!["Name".into(), "Stars".into(), "Date".into()],
        rows: vec![
            vec!["Inception".into(), "10".into(), "2024-01-15".into()],
            vec!["Dune".into(), "8".into(), "2024-02-20".into()],
            vec!["".into(), "3".into(), "2024-03-01".into()],
        ],
    }
}

fn full_mappings() -> Vec<FieldMapping> {
    vec![
        FieldMapping {
            source_column: "Name".into(),
            domain_field: DomainField::Title,
            transform: Transform::Identity,
        },
        FieldMapping {
            source_column: "Stars".into(),
            domain_field: DomainField::Rating,
            transform: Transform::RatingScale(0.5),
        },
        FieldMapping {
            source_column: "Date".into(),
            domain_field: DomainField::WatchedAt,
            transform: Transform::Identity,
        },
    ]
}

#[test]
fn maps_valid_rows() {
    let results = apply_mapping(&sample_file(), &full_mappings());
    assert_eq!(results.len(), 3);
    assert!(matches!(results[0].result, RowResult::Valid(_)));
    assert!(matches!(results[1].result, RowResult::Valid(_)));
    assert!(!results[0].is_duplicate);
}

#[test]
fn applies_rating_scale_transform() {
    let results = apply_mapping(&sample_file(), &full_mappings());
    if let RowResult::Valid(row) = &results[0].result {
        assert_eq!(row.rating.as_deref(), Some("5"));
    } else {
        panic!("expected Valid");
    }
}

#[test]
fn marks_missing_required_fields_invalid() {
    let results = apply_mapping(&sample_file(), &full_mappings());
    assert!(matches!(results[2].result, RowResult::Invalid { .. }));
}

#[test]
fn ignores_unmapped_columns() {
    let mappings = vec![FieldMapping {
        source_column: "Name".into(),
        domain_field: DomainField::Title,
        transform: Transform::Identity,
    }];
    let file = ParsedFile {
        columns: vec!["Name".into(), "Extra".into()],
        rows: vec![vec!["Inception".into(), "ignored".into()]],
    };
    let results = apply_mapping(&file, &mappings);
    assert_eq!(results.len(), 1);
    assert!(matches!(results[0].result, RowResult::Invalid { .. }));
}

#[test]
fn nonexistent_source_column_skipped() {
    let mappings = vec![FieldMapping {
        source_column: "DoesNotExist".into(),
        domain_field: DomainField::Title,
        transform: Transform::Identity,
    }];
    let file = ParsedFile {
        columns: vec!["Name".into()],
        rows: vec![vec!["Inception".into()]],
    };
    let results = apply_mapping(&file, &mappings);
    assert!(matches!(results[0].result, RowResult::Invalid { .. }));
}

#[test]
fn collects_all_errors_not_just_first() {
    let mappings = vec![
        FieldMapping {
            source_column: "Name".into(),
            domain_field: DomainField::Title,
            transform: Transform::Identity,
        },
        FieldMapping {
            source_column: "Stars".into(),
            domain_field: DomainField::Rating,
            transform: Transform::RatingScale(0.5),
        },
    ];
    let file = ParsedFile {
        columns: vec!["Name".into(), "Stars".into()],
        rows: vec![vec!["Inception".into(), "notanumber".into()]],
    };
    let results = apply_mapping(&file, &mappings);
    if let RowResult::Invalid { errors, .. } = &results[0].result {
        assert!(
            errors.iter().any(|e| e.contains("not a number")),
            "expected rating error, got: {:?}",
            errors
        );
        assert!(
            errors.iter().any(|e| e.contains("watched_at")),
            "expected watched_at error, got: {:?}",
            errors
        );
    } else {
        panic!("expected Invalid");
    }
}

#[test]
fn non_numeric_rating_produces_error_in_row() {
    let mappings = vec![
        FieldMapping {
            source_column: "Name".into(),
            domain_field: DomainField::Title,
            transform: Transform::Identity,
        },
        FieldMapping {
            source_column: "Stars".into(),
            domain_field: DomainField::Rating,
            transform: Transform::RatingScale(0.5),
        },
        FieldMapping {
            source_column: "Date".into(),
            domain_field: DomainField::WatchedAt,
            transform: Transform::Identity,
        },
    ];
    let file = ParsedFile {
        columns: vec!["Name".into(), "Stars".into(), "Date".into()],
        rows: vec![vec!["Inception".into(), "five".into(), "2024-01-15".into()]],
    };
    let results = apply_mapping(&file, &mappings);
    assert!(matches!(results[0].result, RowResult::Invalid { .. }));
}