Files
movies-diary/crates/adapters/importer/tests/mapping_test.rs

152 lines
4.7 KiB
Rust

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 { .. }));
}