vantage-csv 0.7.4

Vantage extension for CSV files
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
//! `Table<Csv, _>` reads: typing by column, ids, conditions, and the
//! read-only contract.

use vantage_core::Result;
use vantage_csv::operation::CsvOperation;
use vantage_csv::{AnyCsvType, Csv, CsvTypeVariants};
use vantage_dataset::prelude::{InsertableValueSet, ReadableValueSet, WritableValueSet};
use vantage_expressions::traits::expressive::ExpressiveEnum;
use vantage_expressions::{Expression, Expressive};
use vantage_table::column::core::Column;
use vantage_table::table::Table;
use vantage_table::traits::table_source::TableSource;
use vantage_types::{EmptyEntity, Record};

fn csv() -> Csv {
    Csv::new(format!("{}/data", env!("CARGO_MANIFEST_DIR")))
}

#[tokio::test]
async fn declared_column_types_drive_parsing() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("bakery", csv())
        .with_column_of::<String>("name")
        .with_column_of::<i64>("profit_margin");

    let rows = table.list_values().await?;
    assert_eq!(rows.len(), 1);

    let bakery = &rows["hill_valley"];
    assert_eq!(
        bakery["name"].try_get::<String>().as_deref(),
        Some("Hill Valley Bakery")
    );
    assert_eq!(bakery["profit_margin"].try_get::<i64>(), Some(15));
    assert_eq!(
        bakery["profit_margin"].type_variant(),
        Some(CsvTypeVariants::Int)
    );
    Ok(())
}

#[tokio::test]
async fn bool_and_json_columns_parse_to_their_variants() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("client", csv())
        .with_column_of::<String>("name")
        .with_column_of::<bool>("is_paying_client")
        .with_column_of::<serde_json::Value>("metadata");

    let rows = table.list_values().await?;
    assert_eq!(rows.len(), 3);

    assert_eq!(
        rows["marty"]["is_paying_client"].try_get::<bool>(),
        Some(true)
    );
    assert_eq!(
        rows["biff"]["is_paying_client"].try_get::<bool>(),
        Some(false)
    );

    let metadata = &rows["biff"]["metadata"];
    assert_eq!(metadata.type_variant(), Some(CsvTypeVariants::Json));
    let json = metadata.try_get::<serde_json::Value>().expect("json");
    assert_eq!(json["credit_limit"], serde_json::json!(500));
    Ok(())
}

#[tokio::test]
async fn embedded_json_inventory_parses_when_column_is_json() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("product", csv())
        .with_column_of::<i64>("calories")
        .with_column_of::<serde_json::Value>("inventory");

    let rows = table.list_values().await?;
    assert_eq!(rows.len(), 5);
    let cupcake = &rows["flux_cupcake"];
    assert_eq!(cupcake["calories"].try_get::<i64>(), Some(300));
    let inventory = cupcake["inventory"]
        .try_get::<serde_json::Value>()
        .expect("json");
    assert_eq!(inventory["stock"], serde_json::json!(50));
    Ok(())
}

#[tokio::test]
async fn empty_field_reads_as_untyped_null() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("client", csv())
        .with_column_of::<serde_json::Value>("metadata");

    let rows = table.list_values().await?;
    assert_eq!(rows["marty"]["metadata"].type_variant(), None);
    assert_eq!(rows["marty"]["metadata"].value(), "");
    Ok(())
}

#[tokio::test]
async fn aliased_column_reads_the_aliased_header_under_the_column_name() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("bakery", csv())
        .with_column(Column::<String>::new("title").with_alias("name"))
        .with_column(Column::<i64>::new("margin").with_alias("profit_margin"));

    let rows = table.list_values().await?;
    let bakery = &rows["hill_valley"];
    assert_eq!(
        bakery["title"].try_get::<String>().as_deref(),
        Some("Hill Valley Bakery")
    );
    assert_eq!(bakery["margin"].try_get::<i64>(), Some(15));
    assert!(bakery.get("name").is_none());
    assert!(bakery.get("profit_margin").is_none());
    Ok(())
}

#[tokio::test]
async fn table_without_columns_keys_rows_by_id_and_passes_every_header_through_as_text()
-> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("client", csv());

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["marty", "doc", "biff"]);
    let marty = &rows["marty"];
    assert_eq!(marty["id"].value(), "marty");
    assert_eq!(marty["name"].value(), "Marty McFly");
    assert_eq!(marty["email"].value(), "marty@gmail.com");
    assert_eq!(marty["contact_details"].value(), "555-1955");
    assert_eq!(marty["metadata"].value(), "");
    assert_eq!(
        marty["is_paying_client"].type_variant(),
        Some(CsvTypeVariants::String)
    );
    assert_eq!(
        marty["is_paying_client"].try_get::<String>().as_deref(),
        Some("true")
    );
    Ok(())
}

#[tokio::test]
async fn with_id_column_keys_rows_by_that_column_or_by_row_index_when_it_is_missing() -> Result<()>
{
    let by_name = Table::<Csv, EmptyEntity>::new("client", csv().with_id_column("name"));
    let by_missing =
        Table::<Csv, EmptyEntity>::new("client", csv().with_id_column("no_such_column"));

    let names: Vec<String> = by_name.list_values().await?.into_keys().collect();
    assert_eq!(names, ["Marty McFly", "Doc Brown", "Biff Tannen"]);
    let indices: Vec<String> = by_missing.list_values().await?.into_keys().collect();
    assert_eq!(indices, ["0", "1", "2"]);
    Ok(())
}

#[tokio::test]
async fn get_value_returns_the_record_for_an_id() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("client", csv())
        .with_column_of::<String>("name")
        .with_column_of::<String>("email");

    let doc = table.get_value("doc").await?.expect("doc exists");
    assert_eq!(
        doc["name"].try_get::<String>().as_deref(),
        Some("Doc Brown")
    );
    assert_eq!(
        doc["email"].try_get::<String>().as_deref(),
        Some("doc@brown.com")
    );
    Ok(())
}

#[tokio::test]
async fn get_value_of_unknown_id_is_none() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("client", csv());

    assert!(table.get_value("nonexistent").await?.is_none());
    Ok(())
}

#[tokio::test]
async fn get_some_value_returns_a_row_of_the_table() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("bakery", csv()).with_column_of::<String>("name");

    let (id, record) = table.get_some_value().await?.expect("a row");
    assert_eq!(id, "hill_valley");
    assert_eq!(
        record["name"].try_get::<String>().as_deref(),
        Some("Hill Valley Bakery")
    );
    Ok(())
}

#[tokio::test]
async fn count_is_the_number_of_data_rows() -> Result<()> {
    let table = Table::<Csv, EmptyEntity>::new("product", csv());

    let count = table.data_source().get_table_count(&table).await?;
    assert_eq!(count, 5);
    Ok(())
}

#[tokio::test]
async fn missing_file_is_an_error() {
    let table = Table::<Csv, EmptyEntity>::new("nonexistent", csv());

    assert!(table.list_values().await.is_err());
    assert!(table.get_value("x").await.is_err());
}

#[tokio::test]
async fn every_write_operation_fails() {
    let table = Table::<Csv, EmptyEntity>::new("bakery", csv());
    let record = Record::new();

    assert!(table.insert_value("x", &record).await.is_err());
    assert!(table.replace_value("hill_valley", &record).await.is_err());
    assert!(table.patch_value("hill_valley", &record).await.is_err());
    assert!(table.delete("hill_valley").await.is_err());
    assert!(table.delete_all().await.is_err());
    assert!(table.insert_return_id_value(&record).await.is_err());
}

#[tokio::test]
async fn search_is_unsupported_and_never_matches_everything() {
    let mut table =
        Table::<Csv, EmptyEntity>::new("client", csv()).with_column_of::<String>("name");
    table.add_search("marty");

    let err = table
        .list_values()
        .await
        .expect_err("CSV has no full-table search");
    assert!(err.is_unsupported(), "expected Unsupported, got {err:?}");
}

#[test]
fn describe_condition_reads_as_the_expression() {
    let src = csv();
    let cond = src
        .eq_value_condition("parent", AnyCsvType::new("p1".to_string()))
        .unwrap();
    assert_eq!(src.describe_condition(&cond), "parent = \"p1\"");
}

#[test]
fn condition_column_names_eq_and_in() {
    let src = csv();
    let eq = src
        .eq_value_condition("parent", AnyCsvType::new("p1".to_string()))
        .unwrap();
    assert_eq!(src.condition_column(&eq), Some("parent".to_string()));

    let invoices = Table::<Csv, EmptyEntity>::new("invoice", src.clone()).with_id_column("id");
    let in_cond = src.related_in_condition("invoice_id", &invoices, "id");
    assert_eq!(
        src.condition_column(&in_cond),
        Some("invoice_id".to_string())
    );
}

#[test]
fn condition_column_is_none_for_raw_expressions() {
    let src = csv();
    assert_eq!(
        src.condition_column(&Expression::new("1 = 1", vec![])),
        None
    );
    let a = src
        .eq_value_condition("a", AnyCsvType::new("x".to_string()))
        .unwrap();
    let b = src
        .eq_value_condition("b", AnyCsvType::new("y".to_string()))
        .unwrap();
    let both = Expression::new(
        "{} AND {}",
        vec![ExpressiveEnum::Nested(a), ExpressiveEnum::Nested(b)],
    );
    assert_eq!(src.condition_column(&both), None);
}

fn binary(template: &str, column: &str, rhs: ExpressiveEnum<AnyCsvType>) -> Expression<AnyCsvType> {
    Expression::new(
        template,
        vec![ExpressiveEnum::Nested(Expression::new(column, vec![])), rhs],
    )
}

#[test]
fn condition_column_names_a_comparison() {
    let one = ExpressiveEnum::Scalar(AnyCsvType::new(1i64));
    let gt = binary("{} > {}", "invoice_id", one);
    assert_eq!(csv().condition_column(&gt), Some("invoice_id".to_string()));
}

#[test]
fn condition_column_is_none_for_negations_and_non_value_operands() {
    let src = csv();
    let acme = || ExpressiveEnum::Scalar(AnyCsvType::new("acme".to_string()));
    let nested = |template: &str| ExpressiveEnum::Nested(Expression::new(template, vec![]));
    for cond in [
        binary("{} != {}", "tenant_id", acme()),
        binary("{} NOT IN ({})", "tenant_id", acme()),
        binary("{} = {}", "tenant_id", nested("tenant_id")),
        binary("{} = {}", "tenant_id", nested("7 OR 1 = 1")),
    ] {
        assert_eq!(src.condition_column(&cond), None, "{}", cond.preview());
    }
}

#[tokio::test]
async fn in_values_condition_narrows_to_the_listed_values() -> Result<()> {
    let src = csv();
    let ids = |names: &[&str]| -> Vec<AnyCsvType> {
        names
            .iter()
            .map(|n| AnyCsvType::new(n.to_string()))
            .collect()
    };
    let clients = |values| {
        Table::<Csv, EmptyEntity>::new("client", src.clone())
            .with_column_of::<String>("name")
            .with_condition(src.in_values_condition("id", values).unwrap())
    };
    let rows = clients(ids(&["marty", "biff"])).list_values().await?;
    let mut keys: Vec<_> = rows.keys().collect();
    keys.sort();
    assert_eq!(keys, ["biff", "marty"]);
    assert!(clients(ids(&[])).list_values().await?.is_empty());
    Ok(())
}

#[test]
fn condition_column_names_an_in_values_condition() {
    let src = csv();
    let cond = src
        .in_values_condition("invoice_id", vec![AnyCsvType::new("i1".to_string())])
        .unwrap();
    assert_eq!(src.condition_column(&cond), Some("invoice_id".to_string()));
}

#[tokio::test]
async fn eq_condition_on_bool_column_filters_rows() -> Result<()> {
    let mut table = Table::<Csv, EmptyEntity>::new("client", csv())
        .with_column_of::<String>("name")
        .with_column_of::<bool>("is_paying_client");
    table.add_condition(table["is_paying_client"].eq(AnyCsvType::new(true)));

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["marty", "doc"]);
    Ok(())
}

#[tokio::test]
async fn eq_condition_on_string_column_filters_rows() -> Result<()> {
    let mut table =
        Table::<Csv, EmptyEntity>::new("client", csv()).with_column_of::<String>("name");
    table.add_condition(table["name"].eq(AnyCsvType::new("Doc Brown".to_string())));

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["doc"]);
    Ok(())
}

#[tokio::test]
async fn eq_condition_on_int_column_filters_rows() -> Result<()> {
    let mut table =
        Table::<Csv, EmptyEntity>::new("product", csv()).with_column_of::<i64>("calories");
    table.add_condition(table["calories"].eq(AnyCsvType::new(300_i64)));

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["flux_cupcake"]);
    Ok(())
}

#[tokio::test]
async fn eq_condition_accepts_a_native_value() -> Result<()> {
    let mut table = Table::<Csv, EmptyEntity>::new("product", csv())
        .with_column_of::<String>("name")
        .with_column_of::<i64>("price");
    table.add_condition(table["price"].eq(120_i64));
    table.add_condition(table["name"].eq("Flux Capacitor Cupcake"));

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["flux_cupcake"]);
    Ok(())
}

#[tokio::test]
async fn several_conditions_all_apply() -> Result<()> {
    let mut table = Table::<Csv, EmptyEntity>::new("product", csv())
        .with_column_of::<i64>("calories")
        .with_column_of::<bool>("is_deleted");
    table.add_condition(table["is_deleted"].eq(AnyCsvType::new(false)));
    table.add_condition(table["calories"].eq(AnyCsvType::new(300_i64)));

    let rows = table.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["flux_cupcake"]);

    table.add_condition(table["calories"].eq(AnyCsvType::new(999_i64)));
    assert!(table.list_values().await?.is_empty());
    Ok(())
}

#[tokio::test]
async fn in_condition_matches_values_of_another_table_column() -> Result<()> {
    let csv = csv();
    let mut paying = Table::<Csv, EmptyEntity>::new("client", csv.clone())
        .with_column_of::<String>("name")
        .with_column_of::<bool>("is_paying_client");
    paying.add_condition(paying["is_paying_client"].eq(AnyCsvType::new(true)));

    let name_column = csv.create_column::<String>("name");
    let paying_names = csv.column_table_values_expr(&paying, &name_column);

    let mut clients =
        Table::<Csv, EmptyEntity>::new("client", csv.clone()).with_column_of::<String>("name");
    clients.add_condition(clients["name"].in_(paying_names.expr()));

    let rows = clients.list_values().await?;
    assert_eq!(rows.keys().collect::<Vec<_>>(), ["marty", "doc"]);
    Ok(())
}

#[tokio::test]
async fn column_table_values_expr_lists_the_column_of_the_filtered_table() -> Result<()> {
    let csv = csv();
    let mut table = Table::<Csv, EmptyEntity>::new("client", csv.clone())
        .with_column_of::<String>("name")
        .with_column_of::<bool>("is_paying_client");
    let name_column = csv.create_column::<String>("name");

    let all = csv.column_table_values_expr(&table, &name_column);
    let all = csv_execute(&csv, all.expression()).await?;
    assert_eq!(all, ["Marty McFly", "Doc Brown", "Biff Tannen"]);

    table.add_condition(table["is_paying_client"].eq(AnyCsvType::new(true)));
    let paying = csv.column_table_values_expr(&table, &name_column);
    let paying = csv_execute(&csv, paying.expression()).await?;
    assert_eq!(paying, ["Marty McFly", "Doc Brown"]);
    Ok(())
}

async fn csv_execute(csv: &Csv, expr: &Expression<AnyCsvType>) -> Result<Vec<String>> {
    use vantage_expressions::traits::datasource::ExprDataSource;

    let list = csv.execute(expr).await?;
    let items = list.try_get::<Vec<AnyCsvType>>().expect("a list value");
    Ok(items.iter().map(|v| v.value().clone()).collect())
}

#[tokio::test]
async fn deferred_expression_resolves_to_the_same_list() -> Result<()> {
    use vantage_expressions::traits::datasource::ExprDataSource;

    let csv = csv();
    let table = Table::<Csv, EmptyEntity>::new("bakery", csv.clone());
    let name_column = csv.create_column::<String>("name");
    let names = csv.column_table_values_expr(&table, &name_column);

    let deferred = csv.defer(names.expression().clone());
    let resolved = deferred.call().await?;
    let ExpressiveEnum::Scalar(list) = resolved else {
        panic!("deferred execution should resolve to a scalar");
    };
    let items = list.try_get::<Vec<AnyCsvType>>().expect("a list value");
    assert_eq!(items.len(), 1);
    assert_eq!(items[0].value(), "Hill Valley Bakery");
    Ok(())
}

#[tokio::test]
async fn unsupported_condition_operator_is_an_error() {
    let mut table =
        Table::<Csv, EmptyEntity>::new("client", csv()).with_column_of::<String>("name");
    table.add_condition(Expression::new(
        "{} > {}",
        vec![
            ExpressiveEnum::Nested(table["name"].expr()),
            ExpressiveEnum::Nested(AnyCsvType::new("A".to_string()).expr()),
        ],
    ));

    assert!(table.list_values().await.is_err());
}