zer-judge 1.0.8

ONNX-based neural judge for zer, runs DeBERTa/MiniLM NLI models via ORT to adjudicate borderline record pairs
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
/// Schema-driven near-duplicate record generator.
///
/// Produces perturbed copies of real records so that example pipelines and
/// integration tests always have candidate pairs that land in the borderline
/// band, ensuring the judge is actually exercised.
///
/// # Perturbation rules
///
/// | Field kind | Transformation |
/// |-----------|---------------|
/// | `Name`    | Strip the last character from the value (preserves phonetic code of surname). |
/// | `Date`    | Keep the four-digit year; replace month and day with deterministic alternatives derived from the pair index. |
/// | All other | Copy verbatim. |
///
/// The phonetic blocking key (`{Double-Metaphone}:{year}`) is preserved because
/// the surname's phonetic code is robust to single-character edits, and the
/// birth year is kept intact.  The full-DOB and first-name comparison features
/// become uncertain, pushing the Fellegi-Sunter score into the borderline band.
///
/// # Example
///
/// ```rust
/// use zer_judge::test_utils::NearDuplicateGenerator;
/// use zer_core::{record::{Record, FieldValue}, schema::{Schema, SchemaBuilder, FieldKind}};
///
/// let schema = SchemaBuilder::new()
///     .field("voornamen",     FieldKind::Name)
///     .field("achternaam",    FieldKind::Name)
///     .field("geboortedatum", FieldKind::Date)
///     .build()
///     .unwrap();
///
/// let source = vec![
///     Record::new(1)
///         .insert("voornamen",     FieldValue::Text("Maria".into()))
///         .insert("achternaam",    FieldValue::Text("Jansen".into()))
///         .insert("geboortedatum", FieldValue::Text("1985-03-15".into())),
/// ];
///
/// let synthetics = NearDuplicateGenerator { pair_count: 2, id_offset: 9_000_000 }
///     .generate(&source, &schema);
///
/// // 2 pairs → 4 synthetic records
/// assert_eq!(synthetics.len(), 4);
/// ```
use zer_core::{
    record::{FieldValue, Record},
    schema::{FieldKind, Schema},
};

/// Produces perturbed near-duplicate records from an existing batch.
///
/// The generator is schema-driven: it reads `Name` and `Date` fields declared
/// in the schema, perturbs them in ways that preserve blocking-key membership
/// while creating genuine uncertainty for the Fellegi-Sunter scorer.
///
/// Output records are assigned IDs starting at `id_offset` to avoid collision
/// with the original data.
pub struct NearDuplicateGenerator {
    /// Number of near-duplicate pairs to generate (`generate()` returns 2  times  this many records).
    pub pair_count: usize,
    /// Starting ID for synthetic records.  Should be well above any real record IDs.
    pub id_offset: u64,
}

impl NearDuplicateGenerator {
    /// Generate `2  times  pair_count` synthetic records from `source`.
    ///
    /// For each pair index `i`:
    /// - Record at `id_offset + 2*i` , verbatim copy of the source record.
    /// - Record at `id_offset + 2*i+1`, perturbed copy (name stripped, date day/month changed).
    ///
    /// If `source` has fewer than `pair_count` records the generator cycles
    /// through the source slice.
    pub fn generate(&self, source: &[Record], schema: &Schema) -> Vec<Record> {
        if source.is_empty() || self.pair_count == 0 {
            return vec![];
        }

        let name_fields: Vec<&str> = schema.fields_of_kind(FieldKind::Name).collect();
        let date_fields: Vec<&str> = schema.fields_of_kind(FieldKind::Date).collect();

        let mut out = Vec::with_capacity(self.pair_count * 2);

        for i in 0..self.pair_count {
            let src = &source[i % source.len()];

            // Record A, verbatim copy with a fresh ID.
            let record_a_id = self.id_offset + (2 * i) as u64;
            let mut record_a = Record::new(record_a_id);
            for field in &schema.fields {
                if let Some(v) = src.get(&field.name) {
                    record_a = record_a.insert(&field.name, v.clone());
                }
            }

            // Record B, perturbed copy with the next ID.
            let record_b_id = self.id_offset + (2 * i + 1) as u64;
            let mut record_b = Record::new(record_b_id);
            for field in &schema.fields {
                let perturbed = if let Some(v) = src.get(&field.name) {
                    if name_fields.contains(&field.name.as_str()) {
                        perturb_name(v)
                    } else if date_fields.contains(&field.name.as_str()) {
                        perturb_date(v, i)
                    } else {
                        v.clone()
                    }
                } else {
                    FieldValue::Null
                };
                record_b = record_b.insert(&field.name, perturbed);
            }

            out.push(record_a);
            out.push(record_b);
        }

        out
    }
}

// ── Perturbation helpers ──────────────────────────────────────────────────────

/// Strip the last character from the name value.
///
/// "Maria" → "Mari", "Pieter" → "Piete".
/// Single-character values are kept as-is.  The phonetic code of surnames is
/// robust to this edit, so the blocking key is preserved.
fn perturb_name(value: &FieldValue) -> FieldValue {
    match value {
        FieldValue::Text(s) => {
            let mut chars: Vec<char> = s.chars().collect();
            if chars.len() > 1 {
                chars.pop();
                FieldValue::Text(chars.into_iter().collect())
            } else {
                value.clone()
            }
        }
        other => other.clone(),
    }
}

/// Keep the birth year, replace month and day with deterministic alternatives.
///
/// "1985-03-15" → "1985-09-22" (pair_index = 0).
/// The year component is identical to the source, so the `{phonetic}:{year}`
/// blocking key is preserved.  Month and day differ, making the full-DOB
/// comparison feature uncertain.
fn perturb_date(value: &FieldValue, pair_index: usize) -> FieldValue {
    match value {
        FieldValue::Text(s) if s.len() >= 4 => {
            let year = &s[..4];
            // Deterministic alternative month (1–11, excluding original range) and day (1–25).
            let alt_month = (pair_index % 11 + 1) as u8;
            let alt_day = (pair_index % 25 + 1) as u8;
            FieldValue::Text(format!("{year}-{alt_month:02}-{alt_day:02}"))
        }
        other => other.clone(),
    }
}

// ── Tests ─────────────────────────────────────────────────────────────────────

#[cfg(test)]
mod tests {
    use super::*;
    use zer_core::schema::SchemaBuilder;

    fn person_schema() -> Schema {
        SchemaBuilder::new()
            .field("voornamen", FieldKind::Name)
            .field("achternaam", FieldKind::Name)
            .field("geboortedatum", FieldKind::Date)
            .build()
            .unwrap()
    }

    fn make_record(id: u64, first: &str, last: &str, dob: &str) -> Record {
        Record::new(id)
            .insert("voornamen", FieldValue::Text(first.into()))
            .insert("achternaam", FieldValue::Text(last.into()))
            .insert("geboortedatum", FieldValue::Text(dob.into()))
    }

    fn source_records() -> Vec<Record> {
        vec![
            make_record(1, "Maria", "Jansen", "1985-03-15"),
            make_record(2, "Pieter", "de Vries", "1990-07-22"),
            make_record(3, "Annelies", "Bakker", "1978-11-05"),
        ]
    }

    #[test]
    fn generate_correct_count() {
        let schema = person_schema();
        let source = source_records();
        let gen = NearDuplicateGenerator {
            pair_count: 3,
            id_offset: 9_000_000,
        };
        let result = gen.generate(&source, &schema);
        assert_eq!(result.len(), 6, "pair_count=3 → 6 synthetic records");
    }

    #[test]
    fn generate_ids_start_at_offset() {
        let schema = person_schema();
        let source = source_records();
        let gen = NearDuplicateGenerator {
            pair_count: 2,
            id_offset: 5_000,
        };
        let result = gen.generate(&source, &schema);
        assert!(
            result.iter().all(|r| r.id >= 5_000),
            "all IDs must be >= id_offset"
        );
        assert_eq!(result[0].id, 5_000);
        assert_eq!(result[1].id, 5_001);
    }

    #[test]
    fn generate_ids_are_unique() {
        let schema = person_schema();
        let source = source_records();
        let gen = NearDuplicateGenerator {
            pair_count: 5,
            id_offset: 1_000,
        };
        let result = gen.generate(&source, &schema);
        let ids: std::collections::HashSet<u64> = result.iter().map(|r| r.id).collect();
        assert_eq!(
            ids.len(),
            result.len(),
            "all generated record IDs must be unique"
        );
    }

    #[test]
    fn generate_name_fields_are_perturbed() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")];
        let gen = NearDuplicateGenerator {
            pair_count: 1,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        // result[0] = verbatim copy, result[1] = perturbed
        let orig_first = source[0].get("voornamen");
        let pert_first = result[1].get("voornamen");
        assert_ne!(
            orig_first, pert_first,
            "first name must differ between original and perturbed"
        );
    }

    #[test]
    fn generate_surname_is_also_perturbed() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")];
        let gen = NearDuplicateGenerator {
            pair_count: 1,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        // Surname gets the same strip-last-char treatment as first name.
        let orig = source[0].get("achternaam");
        let pert = result[1].get("achternaam");
        assert_ne!(orig, pert, "surname must be perturbed");
        // Specifically: "Jansen" → "Janse"
        assert_eq!(pert, Some(&FieldValue::Text("Janse".into())));
    }

    #[test]
    fn generate_date_year_preserved() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")];
        let gen = NearDuplicateGenerator {
            pair_count: 1,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        // perturbed record is result[1]
        let dob_val = result[1].get("geboortedatum");
        if let Some(FieldValue::Text(s)) = dob_val {
            assert!(s.starts_with("1985-"), "year must be preserved: {s}");
        } else {
            panic!("expected Text value for geboortedatum");
        }
    }

    #[test]
    fn generate_date_day_month_differ() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")];
        let gen = NearDuplicateGenerator {
            pair_count: 1,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        let orig_dob = source[0].get("geboortedatum");
        let pert_dob = result[1].get("geboortedatum");
        assert_ne!(
            orig_dob, pert_dob,
            "perturbed DOB must differ from original"
        );
    }

    #[test]
    fn generate_verbatim_copy_equals_source() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")];
        let gen = NearDuplicateGenerator {
            pair_count: 1,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        // result[0] is the verbatim copy (different ID, same field values)
        assert_eq!(result[0].get("voornamen"), source[0].get("voornamen"));
        assert_eq!(result[0].get("achternaam"), source[0].get("achternaam"));
        assert_eq!(
            result[0].get("geboortedatum"),
            source[0].get("geboortedatum")
        );
    }

    #[test]
    fn generate_cycles_when_fewer_sources() {
        let schema = person_schema();
        let source = vec![make_record(1, "Maria", "Jansen", "1985-03-15")]; // only 1 source
        let gen = NearDuplicateGenerator {
            pair_count: 3,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        assert_eq!(
            result.len(),
            6,
            "should still generate 2 times pair_count records when cycling"
        );
    }

    #[test]
    fn generate_empty_source_returns_empty() {
        let schema = person_schema();
        let gen = NearDuplicateGenerator {
            pair_count: 5,
            id_offset: 9_000,
        };
        let result = gen.generate(&[], &schema);
        assert!(result.is_empty());
    }

    #[test]
    fn generate_zero_pairs_returns_empty() {
        let schema = person_schema();
        let source = source_records();
        let gen = NearDuplicateGenerator {
            pair_count: 0,
            id_offset: 9_000,
        };
        let result = gen.generate(&source, &schema);
        assert!(result.is_empty());
    }

    #[test]
    fn perturb_name_strips_last_char() {
        assert_eq!(
            perturb_name(&FieldValue::Text("Pieter".into())),
            FieldValue::Text("Piete".into()),
        );
        assert_eq!(
            perturb_name(&FieldValue::Text("Maria".into())),
            FieldValue::Text("Mari".into()),
        );
    }

    #[test]
    fn perturb_name_single_char_unchanged() {
        assert_eq!(
            perturb_name(&FieldValue::Text("A".into())),
            FieldValue::Text("A".into()),
        );
    }

    #[test]
    fn perturb_date_preserves_year() {
        let v = FieldValue::Text("1990-06-15".into());
        let p = perturb_date(&v, 0);
        if let FieldValue::Text(s) = p {
            assert!(s.starts_with("1990-"), "year must be preserved");
        } else {
            panic!("expected Text");
        }
    }

    #[test]
    fn perturb_date_changes_with_index() {
        let v = FieldValue::Text("1990-06-15".into());
        let p0 = perturb_date(&v, 0);
        let p1 = perturb_date(&v, 1);
        assert_ne!(
            p0, p1,
            "different pair indices must produce different dates"
        );
    }

    #[test]
    fn perturb_date_null_passthrough() {
        assert_eq!(perturb_date(&FieldValue::Null, 0), FieldValue::Null);
    }
}