mockforge-grpc 0.3.117

gRPC protocol support for MockForge
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
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
//! Smart mock data generator for gRPC services
//!
//! This module provides intelligent mock data generation based on field names,
//! types, and context. It integrates with the mockforge-data faker system
//! to generate realistic test data.

use prost_reflect::{DynamicMessage, FieldDescriptor, Kind, MessageDescriptor, Value};
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use std::collections::HashMap;
use tracing::debug;

#[cfg(feature = "data-faker")]
use mockforge_data::faker::EnhancedFaker;

// Re-export fake for direct use
#[cfg(feature = "data-faker")]
use fake::{
    faker::name::en::{FirstName, LastName},
    Fake,
};

/// Configuration for smart mock data generation
#[derive(Debug, Clone)]
pub struct SmartMockConfig {
    /// Enable field name-based intelligent generation
    pub field_name_inference: bool,
    /// Enable faker integration for realistic data
    pub use_faker: bool,
    /// Custom field mappings (field_name -> mock_value)
    pub field_overrides: HashMap<String, String>,
    /// Service-specific data generation profiles
    pub service_profiles: HashMap<String, ServiceProfile>,
    /// Maximum recursion depth for nested messages
    pub max_depth: usize,
    /// Deterministic seed for reproducible data generation
    pub seed: Option<u64>,
    /// Whether to use deterministic generation for stable fixtures
    pub deterministic: bool,
}

impl Default for SmartMockConfig {
    fn default() -> Self {
        Self {
            field_name_inference: true,
            use_faker: true,
            field_overrides: HashMap::new(),
            service_profiles: HashMap::new(),
            max_depth: 5,
            seed: None,
            deterministic: false,
        }
    }
}

/// Service-specific data generation profile
#[derive(Debug, Clone)]
pub struct ServiceProfile {
    /// Custom field mappings for this service
    pub field_mappings: HashMap<String, String>,
    /// Realistic data patterns to use
    pub data_patterns: Vec<DataPattern>,
    /// Whether to use sequential numbering for IDs
    pub sequential_ids: bool,
}

/// Data generation patterns
#[derive(Debug, Clone)]
pub enum DataPattern {
    /// User-related data (names, emails, etc.)
    User,
    /// Product/inventory data
    Product,
    /// Financial/transaction data
    Financial,
    /// Address/location data
    Location,
    /// Custom pattern with field mappings
    Custom(HashMap<String, String>),
}

/// Smart mock data generator
pub struct SmartMockGenerator {
    config: SmartMockConfig,
    /// Counter for sequential data generation
    sequence_counter: u64,
    /// Enhanced faker for realistic data generation
    #[cfg(feature = "data-faker")]
    faker: Option<EnhancedFaker>,
    /// Seeded random number generator for deterministic generation
    rng: Option<StdRng>,
}

impl SmartMockGenerator {
    /// Create a new smart mock generator
    pub fn new(config: SmartMockConfig) -> Self {
        #[cfg(feature = "data-faker")]
        let faker = if config.use_faker {
            Some(EnhancedFaker::new())
        } else {
            None
        };

        // Initialize seeded RNG if deterministic mode is enabled
        let rng = if config.deterministic {
            let seed = config.seed.unwrap_or(42); // Default seed if none provided
            Some(StdRng::seed_from_u64(seed))
        } else {
            None
        };

        Self {
            config,
            sequence_counter: 1,
            #[cfg(feature = "data-faker")]
            faker,
            rng,
        }
    }

    /// Create a new deterministic generator with a specific seed
    pub fn new_with_seed(mut config: SmartMockConfig, seed: u64) -> Self {
        config.seed = Some(seed);
        config.deterministic = true;
        Self::new(config)
    }

    /// Reset the generator to its initial state (useful for reproducible tests)
    pub fn reset(&mut self) {
        self.sequence_counter = 1;
        if let Some(seed) = self.config.seed {
            self.rng = Some(StdRng::seed_from_u64(seed));
        }
    }

    /// Generate a deterministic random number
    fn next_random<T>(&mut self) -> T
    where
        rand::distr::StandardUniform: rand::distr::Distribution<T>,
    {
        if let Some(ref mut rng) = self.rng {
            rng.random()
        } else {
            rand::random()
        }
    }

    /// Generate a deterministic random number within a range
    ///
    /// Reserved for smart generation features that use range-based field inference.
    #[allow(dead_code)] // Retained for planned range-based generation wiring.
    fn next_random_range(&mut self, min: i64, max: i64) -> i64 {
        if let Some(ref mut rng) = self.rng {
            rng.random_range(min..=max)
        } else {
            rand::rng().random_range(min..=max)
        }
    }

    /// Generate a mock value for a field with intelligent inference
    pub fn generate_value_for_field(
        &mut self,
        field: &FieldDescriptor,
        service_name: &str,
        method_name: &str,
        depth: usize,
    ) -> Value {
        if depth >= self.config.max_depth {
            return self.generate_depth_limit_value(field);
        }

        let field_name = field.name().to_lowercase();

        debug!(
            "Generating smart mock value for field: {} (type: {:?}) in service: {}, method: {}",
            field.name(),
            field.kind(),
            service_name,
            method_name
        );

        // Check for field overrides first
        if let Some(override_value) = self.config.field_overrides.get(&field_name) {
            return self.parse_override_value(override_value, field);
        }

        // Check service profile mappings
        if let Some(profile) = self.config.service_profiles.get(service_name) {
            if let Some(mapping) = profile.field_mappings.get(&field_name) {
                return self.parse_override_value(mapping, field);
            }
        }

        // Use intelligent field name inference
        if self.config.field_name_inference {
            if let Some(value) = self.infer_value_from_field_name(&field_name, field) {
                return value;
            }
        }

        // Use faker system if available
        #[cfg(feature = "data-faker")]
        if self.config.use_faker && self.faker.is_some() {
            if let Some(value) = self.generate_with_faker_safe(field) {
                return value;
            }
        }

        // Fallback to basic type-based generation
        self.generate_basic_value_for_type(field, depth)
    }

    /// Infer mock value based on field name patterns
    fn infer_value_from_field_name(
        &mut self,
        field_name: &str,
        field: &FieldDescriptor,
    ) -> Option<Value> {
        match field.kind() {
            Kind::String => {
                let mock_value = match field_name {
                    // Identity fields - enhanced with more realistic fallbacks
                    name if name.contains("email") => {
                        // Use faker first, fallback to pattern
                        #[cfg(feature = "data-faker")]
                        if let Some(faker) = &mut self.faker {
                            faker.email()
                        } else {
                            format!("user{}@example.com", self.next_sequence())
                        }
                        #[cfg(not(feature = "data-faker"))]
                        format!("user{}@example.com", self.next_sequence())
                    }
                    name if name.contains("name") && name.contains("first") => {
                        #[cfg(feature = "data-faker")]
                        if let Some(_faker) = &mut self.faker {
                            FirstName().fake()
                        } else {
                            "John".to_string()
                        }
                        #[cfg(not(feature = "data-faker"))]
                        "John".to_string()
                    }
                    name if name.contains("name") && name.contains("last") => {
                        #[cfg(feature = "data-faker")]
                        if let Some(_faker) = &mut self.faker {
                            LastName().fake()
                        } else {
                            "Doe".to_string()
                        }
                        #[cfg(not(feature = "data-faker"))]
                        "Doe".to_string()
                    }
                    name if name.contains("username") => format!("user{}", self.next_sequence()),
                    name if name.contains("full_name") || name.contains("display_name") => {
                        #[cfg(feature = "data-faker")]
                        if let Some(faker) = &mut self.faker {
                            faker.name()
                        } else {
                            "John Doe".to_string()
                        }
                        #[cfg(not(feature = "data-faker"))]
                        "John Doe".to_string()
                    }

                    // Contact information
                    name if name.contains("phone") => "+1-555-123-4567".to_string(),
                    name if name.contains("address") => "123 Main Street".to_string(),
                    name if name.contains("city") => "San Francisco".to_string(),
                    name if name.contains("state") || name.contains("region") => {
                        "California".to_string()
                    }
                    name if name.contains("country") => "United States".to_string(),
                    name if name.contains("zip") || name.contains("postal") => "94102".to_string(),

                    // Product/business fields
                    name if name.contains("title") => "Sample Product".to_string(),
                    name if name.contains("description") => {
                        "This is a sample product description".to_string()
                    }
                    name if name.contains("sku") || name.contains("product_id") => {
                        format!("SKU{:06}", self.next_sequence())
                    }
                    name if name.contains("category") => "Electronics".to_string(),
                    name if name.contains("brand") => "MockForge".to_string(),

                    // Technical fields
                    name if name.contains("url") || name.contains("link") => {
                        "https://example.com".to_string()
                    }
                    name if name.contains("token") => {
                        format!("token_{}", self.generate_random_string(16))
                    }
                    name if name.contains("uuid") || name.contains("guid") => self.generate_uuid(),
                    name if name.contains("hash") => self.generate_random_string(32),
                    name if name.contains("version") => "1.0.0".to_string(),
                    name if name.contains("status") => "active".to_string(),

                    // Default patterns
                    _ => return None,
                };
                Some(Value::String(mock_value))
            }
            Kind::Int32 | Kind::Int64 => {
                let mock_value = match field_name {
                    // ID fields
                    name if name.contains("id") || name.contains("identifier") => {
                        self.next_sequence()
                    }

                    // Quantity/count fields
                    name if name.contains("count") || name.contains("quantity") => {
                        (self.next_random::<u32>() % 100 + 1) as u64
                    }
                    name if name.contains("age") => (self.next_random::<u32>() % 80 + 18) as u64,
                    name if name.contains("year") => (self.next_random::<u32>() % 30 + 1995) as u64,

                    // Size/dimension fields
                    name if name.contains("width")
                        || name.contains("height")
                        || name.contains("length") =>
                    {
                        (self.next_random::<u32>() % 1000 + 100) as u64
                    }
                    name if name.contains("weight") => {
                        (self.next_random::<u32>() % 1000 + 1) as u64
                    }

                    _ => return None,
                };

                Some(match field.kind() {
                    Kind::Int32 => Value::I32(mock_value as i32),
                    Kind::Int64 => Value::I64(mock_value as i64),
                    _ => unreachable!(),
                })
            }
            Kind::Double | Kind::Float => {
                let mock_value = match field_name {
                    name if name.contains("price") || name.contains("cost") => {
                        self.next_random::<f64>() * 1000.0 + 10.0
                    }
                    name if name.contains("rate") || name.contains("percentage") => {
                        self.next_random::<f64>() * 100.0
                    }
                    name if name.contains("latitude") => self.next_random::<f64>() * 180.0 - 90.0,
                    name if name.contains("longitude") => self.next_random::<f64>() * 360.0 - 180.0,
                    _ => return None,
                };

                Some(match field.kind() {
                    Kind::Double => Value::F64(mock_value),
                    Kind::Float => Value::F32(mock_value as f32),
                    _ => unreachable!(),
                })
            }
            Kind::Bool => {
                let mock_value = match field_name {
                    name if name.contains("active") || name.contains("enabled") => true,
                    name if name.contains("verified") || name.contains("confirmed") => true,
                    name if name.contains("deleted") || name.contains("archived") => false,
                    _ => self.next_random::<bool>(),
                };
                Some(Value::Bool(mock_value))
            }
            _ => None,
        }
    }

    /// Generate value using the enhanced faker system (safe version)
    #[cfg(feature = "data-faker")]
    fn generate_with_faker_safe(&mut self, field: &FieldDescriptor) -> Option<Value> {
        let faker = self.faker.as_mut()?;
        let field_name = field.name().to_lowercase();

        match field.kind() {
            Kind::String => {
                let fake_data = match field_name.as_str() {
                    // Email patterns
                    name if name.contains("email") => faker.email(),

                    // Name patterns
                    name if name.contains("first") && name.contains("name") => FirstName().fake(),
                    name if name.contains("last") && name.contains("name") => LastName().fake(),
                    name if name.contains("name")
                        && !name.contains("file")
                        && !name.contains("path") =>
                    {
                        faker.name()
                    }

                    // Contact patterns
                    name if name.contains("phone") || name.contains("mobile") => faker.phone(),
                    name if name.contains("address") => faker.address(),

                    // Company/Organization patterns
                    name if name.contains("company") || name.contains("organization") => {
                        faker.company()
                    }

                    // Web/Internet patterns
                    name if name.contains("url") || name.contains("website") => faker.url(),
                    name if name.contains("ip") => faker.ip_address(),

                    // ID/UUID patterns
                    name if name.contains("uuid") || name.contains("guid") => faker.uuid(),

                    // Date patterns
                    name if name.contains("date")
                        || name.contains("time")
                        || name.contains("created")
                        || name.contains("updated") =>
                    {
                        faker.date_iso()
                    }

                    // Color patterns
                    name if name.contains("color") || name.contains("colour") => faker.color(),

                    // Default: use the field name inference for other patterns
                    _ => return None,
                };

                Some(Value::String(fake_data))
            }

            Kind::Int32 | Kind::Int64 => {
                let fake_value = match field_name.as_str() {
                    // Age patterns
                    name if name.contains("age") => faker.int_range(18, 90),

                    // Year patterns
                    name if name.contains("year") => faker.int_range(1990, 2024),

                    // Count/quantity patterns
                    name if name.contains("count")
                        || name.contains("quantity")
                        || name.contains("amount") =>
                    {
                        faker.int_range(1, 1000)
                    }

                    // Port numbers
                    name if name.contains("port") => faker.int_range(1024, 65535),

                    // Default: use sequence for IDs or random for others
                    name if name.contains("id") || name.contains("identifier") => {
                        self.next_sequence() as i64
                    }
                    _ => faker.int_range(1, 100),
                };

                Some(match field.kind() {
                    Kind::Int32 => Value::I32(fake_value as i32),
                    Kind::Int64 => Value::I64(fake_value),
                    _ => unreachable!(),
                })
            }

            Kind::Double | Kind::Float => {
                let fake_value = match field_name.as_str() {
                    // Price/money patterns
                    name if name.contains("price")
                        || name.contains("cost")
                        || name.contains("amount") =>
                    {
                        faker.float_range(1.0, 1000.0)
                    }

                    // Percentage/rate patterns
                    name if name.contains("rate") || name.contains("percent") => {
                        faker.float_range(0.0, 100.0)
                    }

                    // Geographic coordinates
                    name if name.contains("latitude") || name.contains("lat") => {
                        faker.float_range(-90.0, 90.0)
                    }
                    name if name.contains("longitude")
                        || name.contains("lng")
                        || name.contains("lon") =>
                    {
                        faker.float_range(-180.0, 180.0)
                    }

                    // Default random float
                    _ => faker.float_range(0.0, 100.0),
                };

                Some(match field.kind() {
                    Kind::Double => Value::F64(fake_value),
                    Kind::Float => Value::F32(fake_value as f32),
                    _ => unreachable!(),
                })
            }

            Kind::Bool => {
                let probability = match field_name.as_str() {
                    // Usually true patterns
                    name if name.contains("active")
                        || name.contains("enabled")
                        || name.contains("verified") =>
                    {
                        0.8
                    }

                    // Usually false patterns
                    name if name.contains("deleted")
                        || name.contains("archived")
                        || name.contains("disabled") =>
                    {
                        0.2
                    }

                    // Default 50/50
                    _ => 0.5,
                };

                Some(Value::Bool(faker.boolean(probability)))
            }

            _ => None,
        }
    }

    #[cfg(not(feature = "data-faker"))]
    fn generate_with_faker_safe(&mut self, _field: &FieldDescriptor) -> Option<Value> {
        None
    }

    /// Generate basic value based on type
    fn generate_basic_value_for_type(&mut self, field: &FieldDescriptor, depth: usize) -> Value {
        match field.kind() {
            Kind::String => Value::String(format!("mock_{}", field.name())),
            Kind::Int32 => Value::I32(self.next_sequence() as i32),
            Kind::Int64 => Value::I64(self.next_sequence() as i64),
            Kind::Uint32 => Value::U32(self.next_sequence() as u32),
            Kind::Uint64 => Value::U64(self.next_sequence()),
            Kind::Sint32 => Value::I32(self.next_sequence() as i32),
            Kind::Sint64 => Value::I64(self.next_sequence() as i64),
            Kind::Fixed32 => Value::U32(self.next_sequence() as u32),
            Kind::Fixed64 => Value::U64(self.next_sequence()),
            Kind::Sfixed32 => Value::I32(self.next_sequence() as i32),
            Kind::Sfixed64 => Value::I64(self.next_sequence() as i64),
            Kind::Bool => Value::Bool(self.next_sequence().is_multiple_of(2)),
            Kind::Double => Value::F64(self.next_random::<f64>() * 100.0),
            Kind::Float => Value::F32(self.next_random::<f32>() * 100.0),
            Kind::Bytes => {
                Value::Bytes(format!("bytes_{}", self.next_sequence()).into_bytes().into())
            }
            Kind::Enum(enum_descriptor) => {
                // Use the first enum value, or 0 if no values defined
                if let Some(first_value) = enum_descriptor.values().next() {
                    Value::EnumNumber(first_value.number())
                } else {
                    Value::EnumNumber(0)
                }
            }
            Kind::Message(message_descriptor) => {
                self.generate_mock_message(&message_descriptor, depth + 1)
            }
        }
    }

    /// Generate a mock message with all fields populated
    fn generate_mock_message(&mut self, descriptor: &MessageDescriptor, depth: usize) -> Value {
        let mut message = DynamicMessage::new(descriptor.clone());

        if depth >= self.config.max_depth {
            return Value::Message(message);
        }

        for field in descriptor.fields() {
            let value = self.generate_basic_value_for_type(&field, depth);
            message.set_field(&field, value);
        }

        Value::Message(message)
    }

    /// Generate value when depth limit is reached
    fn generate_depth_limit_value(&self, field: &FieldDescriptor) -> Value {
        match field.kind() {
            Kind::String => Value::String(format!("depth_limit_reached_{}", field.name())),
            Kind::Int32 => Value::I32(999),
            Kind::Int64 => Value::I64(999),
            _ => Value::String("depth_limit".to_string()),
        }
    }

    /// Parse override value from string
    fn parse_override_value(&self, override_value: &str, field: &FieldDescriptor) -> Value {
        match field.kind() {
            Kind::String => Value::String(override_value.to_string()),
            Kind::Int32 => Value::I32(override_value.parse().unwrap_or(0)),
            Kind::Int64 => Value::I64(override_value.parse().unwrap_or(0)),
            Kind::Bool => Value::Bool(override_value.parse().unwrap_or(false)),
            Kind::Double => Value::F64(override_value.parse().unwrap_or(0.0)),
            Kind::Float => Value::F32(override_value.parse().unwrap_or(0.0)),
            _ => Value::String(override_value.to_string()),
        }
    }

    /// Get next sequence number
    pub fn next_sequence(&mut self) -> u64 {
        let current = self.sequence_counter;
        self.sequence_counter += 1;
        current
    }

    /// Generate a mock message for the given descriptor
    ///
    /// # Panics
    /// This function will panic if `generate_mock_message` returns a non-Message Value,
    /// which should never happen in practice as `generate_mock_message` always returns
    /// `Value::Message`. This is defensive programming to catch any unexpected bugs.
    pub fn generate_message(&mut self, descriptor: &MessageDescriptor) -> DynamicMessage {
        match self.generate_mock_message(descriptor, 0) {
            Value::Message(msg) => msg,
            // This should never happen - generate_mock_message always returns Value::Message
            // Using unreachable!() instead of panic!() as this is a logic error if it occurs
            _ => unreachable!(
                "generate_mock_message should always return a Message Value - this indicates a bug"
            ),
        }
    }

    /// Generate random string
    pub fn generate_random_string(&mut self, length: usize) -> String {
        use rand::distr::Alphanumeric;
        use rand::{rng, Rng};

        if let Some(ref mut rng) = self.rng {
            rng.sample_iter(&Alphanumeric).take(length).map(char::from).collect()
        } else {
            rng().sample_iter(&Alphanumeric).take(length).map(char::from).collect()
        }
    }

    /// Generate a UUID-like string
    pub fn generate_uuid(&mut self) -> String {
        format!(
            "{:08x}-{:04x}-{:04x}-{:04x}-{:12x}",
            self.next_random::<u32>(),
            self.next_random::<u16>(),
            self.next_random::<u16>(),
            self.next_random::<u16>(),
            self.next_random::<u64>() & 0xffffffffffff,
        )
    }

    /// Get configuration for external inspection
    pub fn config(&self) -> &SmartMockConfig {
        &self.config
    }

    /// Check if faker is enabled and available
    #[cfg(feature = "data-faker")]
    pub fn is_faker_enabled(&self) -> bool {
        self.config.use_faker && self.faker.is_some()
    }

    #[cfg(not(feature = "data-faker"))]
    pub fn is_faker_enabled(&self) -> bool {
        false
    }
}

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

    #[test]
    fn test_smart_mock_generator() {
        let config = SmartMockConfig::default();
        let mut generator = SmartMockGenerator::new(config);

        // Test sequence generation
        assert_eq!(generator.next_sequence(), 1);
        assert_eq!(generator.next_sequence(), 2);

        // Test UUID generation
        let uuid = generator.generate_uuid();
        assert!(uuid.contains('-'));
        assert_eq!(uuid.matches('-').count(), 4);
    }

    #[test]
    fn test_field_name_inference() {
        let config = SmartMockConfig::default();
        let mut generator = SmartMockGenerator::new(config);

        // Test email inference - we'd need actual field descriptors for full testing
        // This is a unit test placeholder
        assert!(generator.generate_random_string(10).len() == 10);
    }

    #[test]
    fn test_deterministic_seeding() {
        // Create two generators with the same seed
        let config1 = SmartMockConfig {
            seed: Some(12345),
            deterministic: true,
            ..Default::default()
        };
        let config2 = SmartMockConfig {
            seed: Some(12345),
            deterministic: true,
            ..Default::default()
        };

        let mut gen1 = SmartMockGenerator::new(config1);
        let mut gen2 = SmartMockGenerator::new(config2);

        // Generate same values with same seed
        assert_eq!(gen1.generate_uuid(), gen2.generate_uuid());
        assert_eq!(gen1.generate_random_string(10), gen2.generate_random_string(10));

        // Test that different seeds produce different values
        let config3 = SmartMockConfig {
            seed: Some(54321),
            deterministic: true,
            ..Default::default()
        };
        let mut gen3 = SmartMockGenerator::new(config3);

        // Reset first generator
        gen1.reset();
        gen3.reset();

        // Should produce different values with different seeds
        assert_ne!(gen1.generate_uuid(), gen3.generate_uuid());
    }

    #[test]
    fn test_new_with_seed() {
        let config = SmartMockConfig::default();
        let mut gen1 = SmartMockGenerator::new_with_seed(config.clone(), 999);
        let mut gen2 = SmartMockGenerator::new_with_seed(config, 999);

        // Both should be deterministic and produce same results
        assert!(gen1.config.deterministic);
        assert!(gen2.config.deterministic);
        assert_eq!(gen1.config.seed, Some(999));
        assert_eq!(gen2.config.seed, Some(999));

        let uuid1 = gen1.generate_uuid();
        let uuid2 = gen2.generate_uuid();
        assert_eq!(uuid1, uuid2);
    }

    #[test]
    fn test_generator_reset() {
        let config = SmartMockConfig {
            seed: Some(777),
            deterministic: true,
            ..Default::default()
        };

        let mut generator = SmartMockGenerator::new(config);

        // Generate some values
        let uuid1 = generator.generate_uuid();
        let seq1 = generator.next_sequence();
        let seq2 = generator.next_sequence();

        assert_eq!(seq1, 1);
        assert_eq!(seq2, 2);

        // Reset and verify we get same values again
        generator.reset();
        let uuid2 = generator.generate_uuid();
        let seq3 = generator.next_sequence();
        let seq4 = generator.next_sequence();

        assert_eq!(uuid1, uuid2); // Same UUID after reset
        assert_eq!(seq3, 1); // Sequence counter reset
        assert_eq!(seq4, 2);
    }

    #[test]
    fn test_deterministic_vs_non_deterministic() {
        // Non-deterministic generator
        let mut gen_random = SmartMockGenerator::new(SmartMockConfig::default());

        // Deterministic generator
        let mut gen_deterministic =
            SmartMockGenerator::new_with_seed(SmartMockConfig::default(), 42);

        // Generate multiple UUIDs - deterministic should be repeatable
        let det_uuid1 = gen_deterministic.generate_uuid();
        let det_uuid2 = gen_deterministic.generate_uuid();

        gen_deterministic.reset();
        let det_uuid1_repeat = gen_deterministic.generate_uuid();
        let det_uuid2_repeat = gen_deterministic.generate_uuid();

        // Deterministic should be the same after reset
        assert_eq!(det_uuid1, det_uuid1_repeat);
        assert_eq!(det_uuid2, det_uuid2_repeat);

        // Just verify random generator works (can't test randomness reliably)
        let _random_uuid = gen_random.generate_uuid();
    }

    #[cfg(feature = "data-faker")]
    #[test]
    fn test_faker_integration() {
        let config = SmartMockConfig {
            use_faker: true,
            ..Default::default()
        };
        let mut generator = SmartMockGenerator::new(config);

        // Test that faker is initialized
        assert!(generator.faker.is_some());

        // Test sequence generation still works
        assert_eq!(generator.next_sequence(), 1);
        assert_eq!(generator.next_sequence(), 2);
    }
}