qualia_core_db/specialized_libs/machine_learning/
loader.rs

1//! Model loading, format conversion, validation, and caching impls.
2
3use super::*;
4#[allow(unused_imports)]
5use serde::{Deserialize, Serialize};
6#[allow(unused_imports)]
7use std::collections::HashMap;
8
9impl ModelLoader {
10    pub fn new() -> Self {
11        Self {
12            loading_strategies: HashMap::new(),
13            format_converters: HashMap::new(),
14            loading_cache: LoadingCache::new(),
15        }
16    }
17
18    pub fn initialize(&mut self) -> Result<(), MLError> {
19        self.loading_cache.initialize()?;
20        Ok(())
21    }
22
23    /// Register a loading strategy under the given name.
24    pub fn register_loading_strategy(&mut self, name: &str, strategy: LoadingStrategy) {
25        self.loading_strategies.insert(name.to_string(), strategy);
26    }
27
28    /// Get a registered loading strategy by name.
29    pub fn get_loading_strategy(&self, name: &str) -> Option<&LoadingStrategy> {
30        self.loading_strategies.get(name)
31    }
32
33    /// List the names of all registered loading strategies.
34    pub fn list_loading_strategies(&self) -> Vec<String> {
35        self.loading_strategies.keys().cloned().collect()
36    }
37
38    /// Register a format converter under the given name.
39    pub fn register_format_converter(&mut self, name: &str, converter: FormatConverter) {
40        self.format_converters.insert(name.to_string(), converter);
41    }
42
43    /// Get a registered format converter by name.
44    pub fn get_format_converter(&self, name: &str) -> Option<&FormatConverter> {
45        self.format_converters.get(name)
46    }
47
48    /// List the names of all registered format converters.
49    pub fn list_format_converters(&self) -> Vec<String> {
50        self.format_converters.keys().cloned().collect()
51    }
52}
53
54impl LoadingStrategy {
55    pub fn new() -> Self {
56        Self {
57            strategy_id: "default".to_string(),
58            strategy_type: LoadingStrategyType::Lazy,
59            parameters: LoadingParameters::new(),
60        }
61    }
62}
63
64impl LoadingParameters {
65    pub fn new() -> Self {
66        Self {
67            chunk_size: 1024,
68            prefetch_size: 2048,
69            cache_size: 100 * 1024 * 1024, // 100MB
70            parallel_loading: true,
71        }
72    }
73}
74
75impl FormatConverter {
76    pub fn new() -> Self {
77        Self {
78            converter_id: "default".to_string(),
79            source_format: "pytorch".to_string(),
80            target_format: "onnx".to_string(),
81            conversion_pipeline: Vec::new(),
82        }
83    }
84}
85
86impl ConversionStep {
87    pub fn new() -> Self {
88        Self {
89            step_id: "step_1".to_string(),
90            step_type: ConversionStepType::Parsing,
91            parameters: HashMap::new(),
92        }
93    }
94}
95
96impl LoadingCache {
97    pub fn new() -> Self {
98        Self {
99            cache_entries: HashMap::new(),
100            cache_policy: CachePolicy::new(),
101            cache_stats: CacheStats::new(),
102        }
103    }
104
105    pub fn initialize(&mut self) -> Result<(), MLError> {
106        Ok(())
107    }
108
109    /// Insert or replace a cache entry by id.
110    pub fn put_entry(&mut self, entry: CacheEntry) {
111        self.cache_entries.insert(entry.entry_id.clone(), entry);
112    }
113
114    /// Retrieve a cache entry by id, incrementing its access count and updating
115    /// the last-accessed timestamp.
116    pub fn get_entry(&mut self, entry_id: &str) -> Option<CacheEntry> {
117        let now = current_timestamp_secs();
118        let found = self.cache_entries.get_mut(entry_id).map(|entry| {
119            entry.access_count += 1;
120            entry.last_accessed = now;
121            entry.clone()
122        });
123        match &found {
124            Some(_) => self.cache_stats.hit_count += 1,
125            None => self.cache_stats.miss_count += 1,
126        }
127        self.update_hit_rate();
128        found
129    }
130
131    /// Remove a cache entry by id. Returns `true` if an entry was removed.
132    pub fn remove_entry(&mut self, entry_id: &str) -> bool {
133        let removed = self.cache_entries.remove(entry_id).is_some();
134        if removed {
135            self.update_hit_rate();
136        }
137        removed
138    }
139
140    /// Number of entries currently held in the cache.
141    pub fn cache_size(&self) -> usize {
142        self.cache_entries.len()
143    }
144
145    /// Return a reference to the cache policy.
146    pub fn cache_policy(&self) -> &CachePolicy {
147        &self.cache_policy
148    }
149
150    /// Return a reference to the cache statistics.
151    pub fn cache_stats(&self) -> &CacheStats {
152        &self.cache_stats
153    }
154
155    /// Recompute the rolling hit rate from hit/miss counts.
156    fn update_hit_rate(&mut self) {
157        let total = self.cache_stats.hit_count + self.cache_stats.miss_count;
158        self.cache_stats.hit_rate = if total == 0 {
159            0.0
160        } else {
161            self.cache_stats.hit_count as f64 / total as f64
162        };
163    }
164}
165
166impl CachePolicy {
167    pub fn new() -> Self {
168        Self {
169            eviction_policy: EvictionPolicy::LRU,
170            max_size: 1024 * 1024 * 1024, // 1GB
171            ttl: 3600,                    // 1 hour
172        }
173    }
174}
175
176impl CacheStats {
177    pub fn new() -> Self {
178        Self {
179            hit_count: 0,
180            miss_count: 0,
181            hit_rate: 0.0,
182            total_size: 0,
183        }
184    }
185}
186
187impl CacheEntry {
188    pub fn new() -> Self {
189        Self {
190            entry_id: "cache_1".to_string(),
191            model_data: vec![0u8; 1000],
192            access_count: 0,
193            last_accessed: 0,
194            size: 1000,
195        }
196    }
197}
198
199impl ModelConverter {
200    pub fn new() -> Self {
201        Self {
202            conversion_pipelines: HashMap::new(),
203            optimization_strategies: HashMap::new(),
204            validation_engine: ValidationEngine::new(),
205        }
206    }
207
208    pub fn initialize(&mut self) -> Result<(), MLError> {
209        self.validation_engine.initialize()?;
210        Ok(())
211    }
212
213    /// Register a conversion pipeline under the given name.
214    pub fn register_pipeline(&mut self, name: &str, pipeline: ConversionPipeline) {
215        self.conversion_pipelines.insert(name.to_string(), pipeline);
216    }
217
218    /// Get a registered conversion pipeline by name.
219    pub fn get_pipeline(&self, name: &str) -> Option<&ConversionPipeline> {
220        self.conversion_pipelines.get(name)
221    }
222
223    /// List the names of all registered conversion pipelines.
224    pub fn list_pipelines(&self) -> Vec<String> {
225        self.conversion_pipelines.keys().cloned().collect()
226    }
227
228    /// Register an optimization strategy under the given name.
229    pub fn register_optimization_strategy(&mut self, name: &str, strategy: OptimizationStrategy) {
230        self.optimization_strategies
231            .insert(name.to_string(), strategy);
232    }
233
234    /// Get a registered optimization strategy by name.
235    pub fn get_optimization_strategy(&self, name: &str) -> Option<&OptimizationStrategy> {
236        self.optimization_strategies.get(name)
237    }
238
239    /// List the names of all registered optimization strategies.
240    pub fn list_optimization_strategies(&self) -> Vec<String> {
241        self.optimization_strategies.keys().cloned().collect()
242    }
243}
244
245impl ConversionPipeline {
246    pub fn new() -> Self {
247        Self {
248            pipeline_id: "default".to_string(),
249            source_format: "pytorch".to_string(),
250            target_format: "onnx".to_string(),
251            steps: Vec::new(),
252            quality_assurance: QualityAssurance::new(),
253        }
254    }
255}
256
257impl QualityAssurance {
258    pub fn new() -> Self {
259        Self {
260            validation_rules: Vec::new(),
261            test_cases: Vec::new(),
262            accuracy_threshold: 0.95,
263        }
264    }
265}
266
267impl ValidationRule {
268    pub fn new() -> Self {
269        Self {
270            rule_id: "rule_1".to_string(),
271            rule_type: ValidationRuleType::Architecture,
272            condition: "true".to_string(),
273            action: ValidationAction::Pass,
274        }
275    }
276}
277
278impl TestCase {
279    pub fn new() -> Self {
280        Self {
281            test_id: "test_1".to_string(),
282            test_type: TestType::Inference,
283            input_data: vec![1u8; 100],
284            expected_output: vec![2u8; 100],
285        }
286    }
287}
288
289impl OptimizationStrategy {
290    pub fn new() -> Self {
291        Self {
292            strategy_id: "default".to_string(),
293            strategy_type: OptimizationStrategyType::Quantization,
294            parameters: OptimizationParameters::new(),
295        }
296    }
297}
298
299impl OptimizationParameters {
300    pub fn new() -> Self {
301        Self {
302            target_size: 100 * 1024 * 1024, // 100MB
303            accuracy_threshold: 0.95,
304            performance_target: 1.0,
305            optimization_level: OptimizationLevel::Moderate,
306        }
307    }
308}
309
310impl ValidationEngine {
311    pub fn new() -> Self {
312        Self {
313            validators: HashMap::new(),
314            validation_rules: Vec::new(),
315            test_suite: TestSuite::new(),
316        }
317    }
318
319    pub fn initialize(&mut self) -> Result<(), MLError> {
320        Ok(())
321    }
322
323    /// Register a validator under the given id.
324    pub fn register_validator(&mut self, validator: Validator) {
325        self.validators
326            .insert(validator.validator_id.clone(), validator);
327    }
328
329    /// Get a registered validator by id.
330    pub fn get_validator(&self, validator_id: &str) -> Option<&Validator> {
331        self.validators.get(validator_id)
332    }
333
334    /// List the ids of all registered validators.
335    pub fn list_validators(&self) -> Vec<String> {
336        self.validators.keys().cloned().collect()
337    }
338
339    /// Add a validation rule to the engine.
340    pub fn add_validation_rule(&mut self, rule: ValidationRule) {
341        self.validation_rules.push(rule);
342    }
343
344    /// Return a reference to all validation rules.
345    pub fn validation_rules(&self) -> &[ValidationRule] {
346        &self.validation_rules
347    }
348
349    /// Return a reference to the test suite.
350    pub fn test_suite(&self) -> &TestSuite {
351        &self.test_suite
352    }
353
354    /// Return a mutable reference to the test suite.
355    pub fn test_suite_mut(&mut self) -> &mut TestSuite {
356        &mut self.test_suite
357    }
358}
359
360impl Validator {
361    pub fn new() -> Self {
362        Self {
363            validator_id: "default".to_string(),
364            validator_type: ValidatorType::Architecture,
365            validation_logic: ValidationLogic::new(),
366        }
367    }
368}
369
370impl ValidationLogic {
371    pub fn new() -> Self {
372        Self {
373            logic_id: "logic_1".to_string(),
374            conditions: Vec::new(),
375            actions: Vec::new(),
376        }
377    }
378}
379
380impl ValidationCondition {
381    pub fn new() -> Self {
382        Self {
383            condition_id: "cond_1".to_string(),
384            field: "model_type".to_string(),
385            operator: ComparisonOperator::Equals,
386            value: ValidationValue::String("LLM".to_string()),
387        }
388    }
389}
390
391impl ValidationValue {
392    pub fn string(value: &str) -> Self {
393        Self::String(value.to_string())
394    }
395
396    pub fn number(value: f64) -> Self {
397        Self::Number(value)
398    }
399
400    pub fn boolean(value: bool) -> Self {
401        Self::Boolean(value)
402    }
403}
404
405impl TestSuite {
406    pub fn new() -> Self {
407        Self {
408            test_cases: Vec::new(),
409            test_environment: TestEnvironment::new(),
410            test_results: TestResults::new(),
411        }
412    }
413}
414
415impl TestEnvironment {
416    pub fn new() -> Self {
417        Self {
418            environment_id: "default".to_string(),
419            hardware: HardwareSpec::new(),
420            software: SoftwareSpec::new(),
421            configuration: TestConfiguration::new(),
422        }
423    }
424}
425
426impl HardwareSpec {
427    pub fn new() -> Self {
428        Self {
429            cpu_cores: 8,
430            memory_size: 16 * 1024 * 1024 * 1024, // 16GB
431            gpu_count: 1,
432            gpu_memory: 8 * 1024 * 1024 * 1024,          // 8GB
433            storage_size: 1 * 1024 * 1024 * 1024 * 1024, // 1TB
434        }
435    }
436}
437
438impl SoftwareSpec {
439    pub fn new() -> Self {
440        Self {
441            os: "Linux".to_string(),
442            framework_version: "1.0.0".to_string(),
443            dependencies: Vec::new(),
444        }
445    }
446}
447
448impl TestConfiguration {
449    pub fn new() -> Self {
450        Self {
451            batch_size: 32,
452            sequence_length: 512,
453            precision: Precision::FP32,
454        }
455    }
456}
457
458impl TestResults {
459    pub fn new() -> Self {
460        Self {
461            results: Vec::new(),
462            summary: TestSummary::new(),
463        }
464    }
465}
466
467impl TestResult {
468    pub fn new() -> Self {
469        Self {
470            test_id: "test_1".to_string(),
471            passed: true,
472            execution_time: 100,
473            error_message: None,
474            metrics: TestMetrics::new(),
475        }
476    }
477}
478
479impl TestMetrics {
480    pub fn new() -> Self {
481        Self {
482            accuracy: 0.0, // not measured (scaffold default; no evaluation performed)
483            latency: 10.0,
484            throughput: 100.0,
485            memory_usage: 1024 * 1024, // 1MB
486        }
487    }
488}
489
490impl TestSummary {
491    pub fn new() -> Self {
492        Self {
493            total_tests: 1,
494            passed_tests: 1,
495            failed_tests: 0,
496            pass_rate: 1.0,
497            average_execution_time: 100.0,
498        }
499    }
500}
501
502impl ModelCache {
503    pub fn new() -> Self {
504        Self {
505            cache_entries: HashMap::new(),
506            cache_policy: ModelCachePolicy::new(),
507            cache_stats: ModelCacheStats::new(),
508        }
509    }
510
511    pub fn initialize(&mut self) -> Result<(), MLError> {
512        Ok(())
513    }
514
515    pub fn get(&mut self, model_id: &str) -> Option<Model> {
516        let now = current_timestamp_secs();
517        let found = self.cache_entries.get_mut(model_id).map(|entry| {
518            entry.access_count += 1;
519            entry.last_accessed = now;
520            entry.model.clone()
521        });
522
523        match found {
524            Some(model) => {
525                self.cache_stats.hit_count += 1;
526                self.update_hit_rate();
527                Some(model)
528            }
529            None => {
530                self.cache_stats.miss_count += 1;
531                self.update_hit_rate();
532                None
533            }
534        }
535    }
536
537    pub fn put(&mut self, model_id: String, model: Model) -> Result<(), MLError> {
538        let size = (model.weights.len() * std::mem::size_of::<f64>()) as u64;
539        let now = current_timestamp_secs();
540
541        // If updating an existing entry, subtract its old size first.
542        if let Some(existing) = self.cache_entries.get(&model_id) {
543            self.cache_stats.total_size -= existing.size;
544        }
545
546        let entry = ModelCacheEntry {
547            entry_id: model_id.clone(),
548            model: model.clone(),
549            access_count: 1,
550            last_accessed: now,
551            size,
552            hit_rate: 0.0,
553        };
554        self.cache_entries.insert(model_id, entry);
555        self.cache_stats.total_size += size;
556
557        // Evict LRU entries while the cache exceeds the configured max size.
558        while self.cache_stats.total_size > self.cache_policy.max_size
559            && self.cache_entries.len() > 1
560        {
561            self.evict_lru();
562        }
563
564        Ok(())
565    }
566
567    /// Returns the number of entries currently held in the cache.
568    pub fn cache_size(&self) -> usize {
569        self.cache_entries.len()
570    }
571
572    /// Returns a reference to the cache statistics.
573    pub fn cache_stats(&self) -> &ModelCacheStats {
574        &self.cache_stats
575    }
576
577    /// Recompute the rolling hit rate from hit/miss counts.
578    fn update_hit_rate(&mut self) {
579        let total = self.cache_stats.hit_count + self.cache_stats.miss_count;
580        self.cache_stats.hit_rate = if total == 0 {
581            0.0
582        } else {
583            self.cache_stats.hit_count as f64 / total as f64
584        };
585    }
586
587    /// Evict the entry with the oldest `last_accessed` timestamp (LRU).
588    fn evict_lru(&mut self) {
589        if let Some((lru_key, lru_size)) = self
590            .cache_entries
591            .iter()
592            .min_by_key(|(_, e)| e.last_accessed)
593            .map(|(k, e)| (k.clone(), e.size))
594        {
595            self.cache_entries.remove(&lru_key);
596            self.cache_stats.total_size -= lru_size;
597            self.cache_stats.eviction_count += 1;
598        }
599    }
600}
601
602/// Current time in seconds since the Unix epoch, used for `last_accessed` stamps.
603fn current_timestamp_secs() -> u64 {
604    std::time::SystemTime::now()
605        .duration_since(std::time::UNIX_EPOCH)
606        .map(|d| d.as_secs())
607        .unwrap_or(0)
608}
609
610impl ModelCachePolicy {
611    pub fn new() -> Self {
612        Self {
613            eviction_policy: ModelEvictionPolicy::LRU,
614            max_size: 10 * 1024 * 1024 * 1024, // 10GB
615            ttl: 3600,                         // 1 hour
616            priority_levels: vec![
617                PriorityLevel::Critical,
618                PriorityLevel::High,
619                PriorityLevel::Medium,
620                PriorityLevel::Low,
621            ],
622        }
623    }
624}
625
626impl ModelCacheStats {
627    pub fn new() -> Self {
628        Self {
629            hit_count: 0,
630            miss_count: 0,
631            hit_rate: 0.0,
632            total_size: 0,
633            eviction_count: 0,
634        }
635    }
636}
637
638impl ModelCacheEntry {
639    pub fn new() -> Self {
640        Self {
641            entry_id: "cache_1".to_string(),
642            model: Model::new(),
643            access_count: 0,
644            last_accessed: 0,
645            size: 0,
646            hit_rate: 0.0,
647        }
648    }
649}
qualia_core_db/specialized_libs/machine_learning/loader.rs

qualia_core_db/specialized_libs/machine_learning/
loader.rs
