trustformers_training/
data_pipeline.rs

1//! Data Pipeline Enhancements for TrustformeRS Training
2//!
3//! This module provides advanced data pipeline capabilities including streaming datasets,
4//! dynamic augmentation, curriculum learning, active learning, and multi-modal data handling.
5
6use anyhow::Result;
7use serde::{Deserialize, Serialize};
8use std::collections::{HashMap, VecDeque};
9use std::path::PathBuf;
10use std::sync::{Arc, Mutex};
11use std::time::{Duration, SystemTime};
12use trustformers_core::tensor::Tensor;
13
14/// Streaming dataset configuration and management
15#[derive(Debug, Clone, Serialize, Deserialize)]
16pub struct StreamingDatasetConfig {
17    /// Data sources for streaming
18    pub sources: Vec<DataSource>,
19    /// Buffer size for streaming
20    pub buffer_size: usize,
21    /// Prefetch buffer size
22    pub prefetch_size: usize,
23    /// Shuffle configuration
24    pub shuffle: ShuffleConfig,
25    /// Batching configuration
26    pub batching: BatchingConfig,
27    /// Caching configuration
28    pub caching: CachingConfig,
29}
30
31#[derive(Debug, Clone, Serialize, Deserialize)]
32pub struct DataSource {
33    /// Source identifier
34    pub id: String,
35    /// Source type
36    pub source_type: DataSourceType,
37    /// Source-specific configuration
38    pub config: HashMap<String, String>,
39    /// Weight for sampling from this source
40    pub weight: f64,
41    /// Quality score
42    pub quality_score: f64,
43}
44
45#[derive(Debug, Clone, Serialize, Deserialize)]
46pub enum DataSourceType {
47    /// Local file system
48    LocalFiles { patterns: Vec<String> },
49    /// Remote HTTP/HTTPS endpoints
50    Http { urls: Vec<String> },
51    /// Database connection
52    Database { connection_string: String },
53    /// Cloud storage (S3, GCS, Azure)
54    CloudStorage { bucket: String, prefix: String },
55    /// Kafka stream
56    Kafka {
57        topics: Vec<String>,
58        brokers: Vec<String>,
59    },
60    /// Custom data source
61    Custom { source_name: String },
62}
63
64#[derive(Debug, Clone, Serialize, Deserialize)]
65pub struct ShuffleConfig {
66    /// Whether to shuffle data
67    pub enabled: bool,
68    /// Shuffle buffer size
69    pub buffer_size: usize,
70    /// Shuffle strategy
71    pub strategy: ShuffleStrategy,
72    /// Random seed for reproducibility
73    pub seed: Option<u64>,
74}
75
76#[derive(Debug, Clone, Serialize, Deserialize)]
77pub enum ShuffleStrategy {
78    /// Random shuffle
79    Random,
80    /// Reservoir sampling
81    Reservoir,
82    /// Block-wise shuffle
83    BlockWise { block_size: usize },
84    /// Hash-based shuffle
85    HashBased,
86}
87
88#[derive(Debug, Clone, Serialize, Deserialize)]
89pub struct BatchingConfig {
90    /// Batch size
91    pub batch_size: usize,
92    /// Dynamic batching enabled
93    pub dynamic: bool,
94    /// Maximum batch size for dynamic batching
95    pub max_batch_size: usize,
96    /// Batching strategy
97    pub strategy: BatchingStrategy,
98    /// Drop last incomplete batch
99    pub drop_last: bool,
100}
101
102#[derive(Debug, Clone, Serialize, Deserialize)]
103pub enum BatchingStrategy {
104    /// Fixed size batches
105    Fixed,
106    /// Variable size based on sequence length
107    SequenceLength { max_tokens: usize },
108    /// Variable size based on memory usage
109    MemoryAware { max_memory_mb: usize },
110    /// Adaptive batching based on throughput
111    Adaptive,
112}
113
114#[derive(Debug, Clone, Serialize, Deserialize)]
115pub struct CachingConfig {
116    /// Enable caching
117    pub enabled: bool,
118    /// Cache type
119    pub cache_type: CacheType,
120    /// Cache size limit
121    pub max_size_gb: f64,
122    /// Cache eviction policy
123    pub eviction_policy: EvictionPolicy,
124    /// Cache compression
125    pub compression: CompressionConfig,
126}
127
128#[derive(Debug, Clone, Serialize, Deserialize)]
129pub enum CacheType {
130    /// In-memory cache
131    Memory,
132    /// Disk-based cache
133    Disk { directory: PathBuf },
134    /// Redis cache
135    Redis { connection_string: String },
136    /// Hybrid memory + disk
137    Hybrid { memory_ratio: f64 },
138}
139
140#[derive(Debug, Clone, Serialize, Deserialize)]
141pub enum EvictionPolicy {
142    /// Least Recently Used
143    LRU,
144    /// Least Frequently Used
145    LFU,
146    /// First In First Out
147    FIFO,
148    /// Random replacement
149    Random,
150}
151
152#[derive(Debug, Clone, Serialize, Deserialize)]
153pub struct CompressionConfig {
154    /// Enable compression
155    pub enabled: bool,
156    /// Compression algorithm
157    pub algorithm: CompressionAlgorithm,
158    /// Compression level
159    pub level: u8,
160}
161
162#[derive(Debug, Clone, Serialize, Deserialize)]
163pub enum CompressionAlgorithm {
164    Gzip,
165    Zstd,
166    Lz4,
167    Snappy,
168}
169
170/// Dynamic data augmentation configuration
171#[derive(Debug, Clone, Serialize, Deserialize)]
172pub struct DynamicAugmentationConfig {
173    /// Augmentation strategies
174    pub strategies: Vec<AugmentationStrategy>,
175    /// Adaptive augmentation settings
176    pub adaptive: AdaptiveAugmentationConfig,
177    /// Augmentation scheduling
178    pub scheduling: AugmentationScheduling,
179}
180
181#[derive(Debug, Clone, Serialize, Deserialize)]
182pub struct AugmentationStrategy {
183    /// Strategy name
184    pub name: String,
185    /// Strategy type
186    pub strategy_type: AugmentationStrategyType,
187    /// Probability of applying this augmentation
188    pub probability: f64,
189    /// Intensity parameter
190    pub intensity: f64,
191    /// Strategy-specific parameters
192    pub parameters: HashMap<String, f64>,
193}
194
195#[derive(Debug, Clone, Serialize, Deserialize)]
196pub enum AugmentationStrategyType {
197    /// Text augmentations
198    Text {
199        augmentation_type: TextAugmentationType,
200    },
201    /// Image augmentations
202    Image {
203        augmentation_type: ImageAugmentationType,
204    },
205    /// Audio augmentations
206    Audio {
207        augmentation_type: AudioAugmentationType,
208    },
209    /// Token-level augmentations
210    Token {
211        augmentation_type: TokenAugmentationType,
212    },
213}
214
215#[derive(Debug, Clone, Serialize, Deserialize)]
216pub enum TextAugmentationType {
217    /// Synonym replacement
218    SynonymReplacement,
219    /// Random insertion
220    RandomInsertion,
221    /// Random swap
222    RandomSwap,
223    /// Random deletion
224    RandomDeletion,
225    /// Back translation
226    BackTranslation { target_language: String },
227    /// Paraphrasing
228    Paraphrasing,
229}
230
231#[derive(Debug, Clone, Serialize, Deserialize)]
232pub enum ImageAugmentationType {
233    /// Rotation
234    Rotation,
235    /// Scaling
236    Scaling,
237    /// Translation
238    Translation,
239    /// Color jittering
240    ColorJitter,
241    /// Gaussian noise
242    GaussianNoise,
243    /// Cutout
244    Cutout,
245    /// Mixup
246    Mixup,
247}
248
249#[derive(Debug, Clone, Serialize, Deserialize)]
250pub enum AudioAugmentationType {
251    /// Noise injection
252    NoiseInjection,
253    /// Time stretching
254    TimeStretching,
255    /// Pitch shifting
256    PitchShifting,
257    /// Volume adjustment
258    VolumeAdjustment,
259    /// Speed perturbation
260    SpeedPerturbation,
261}
262
263#[derive(Debug, Clone, Serialize, Deserialize)]
264pub enum TokenAugmentationType {
265    /// Token dropout
266    TokenDropout,
267    /// Token replacement
268    TokenReplacement,
269    /// Token insertion
270    TokenInsertion,
271    /// Span masking
272    SpanMasking,
273}
274
275#[derive(Debug, Clone, Serialize, Deserialize)]
276pub struct AdaptiveAugmentationConfig {
277    /// Enable adaptive augmentation
278    pub enabled: bool,
279    /// Adaptation strategy
280    pub strategy: AdaptationStrategy,
281    /// Update frequency
282    pub update_frequency: usize,
283    /// Performance metrics to track
284    pub metrics: Vec<String>,
285}
286
287#[derive(Debug, Clone, Serialize, Deserialize)]
288pub enum AdaptationStrategy {
289    /// Performance-based adaptation
290    PerformanceBased {
291        target_metric: String,
292        threshold: f64,
293    },
294    /// Loss-based adaptation
295    LossBased { loss_threshold: f64 },
296    /// Gradient-based adaptation
297    GradientBased { gradient_threshold: f64 },
298    /// Uncertainty-based adaptation
299    UncertaintyBased { uncertainty_threshold: f64 },
300}
301
302#[derive(Debug, Clone, Serialize, Deserialize)]
303pub struct AugmentationScheduling {
304    /// Scheduling type
305    pub schedule_type: ScheduleType,
306    /// Schedule parameters
307    pub parameters: HashMap<String, f64>,
308}
309
310#[derive(Debug, Clone, Serialize, Deserialize)]
311pub enum ScheduleType {
312    /// Fixed schedule
313    Fixed,
314    /// Linear schedule
315    Linear {
316        start_value: f64,
317        end_value: f64,
318        total_steps: usize,
319    },
320    /// Exponential schedule
321    Exponential { initial_value: f64, decay_rate: f64 },
322    /// Cosine schedule
323    Cosine {
324        max_value: f64,
325        min_value: f64,
326        period: usize,
327    },
328}
329
330/// Curriculum learning configuration
331#[derive(Debug, Clone, Serialize, Deserialize)]
332pub struct CurriculumLearningConfig {
333    /// Curriculum strategy
334    pub strategy: CurriculumStrategy,
335    /// Difficulty assessment
336    pub difficulty_assessment: DifficultyAssessment,
337    /// Pacing function
338    pub pacing: PacingFunction,
339    /// Curriculum scheduling
340    pub scheduling: CurriculumScheduling,
341}
342
343#[derive(Debug, Clone, Serialize, Deserialize)]
344pub enum CurriculumStrategy {
345    /// Manual curriculum with predefined stages
346    Manual { stages: Vec<CurriculumStage> },
347    /// Automatic curriculum based on model performance
348    Automatic {
349        difficulty_increase_threshold: f64,
350        competency_threshold: f64,
351    },
352    /// Self-paced curriculum
353    SelfPaced {
354        lambda: f64, // Self-paced regularization parameter
355    },
356    /// Anti-curriculum (hard to easy)
357    AntiCurriculum,
358    /// Random curriculum
359    Random,
360}
361
362#[derive(Debug, Clone, Serialize, Deserialize)]
363pub struct CurriculumStage {
364    /// Stage name
365    pub name: String,
366    /// Data selection criteria
367    pub criteria: DataSelectionCriteria,
368    /// Duration in epochs
369    pub duration_epochs: usize,
370    /// Success criteria to move to next stage
371    pub success_criteria: SuccessCriteria,
372}
373
374#[derive(Debug, Clone, Serialize, Deserialize)]
375pub struct DataSelectionCriteria {
376    /// Difficulty range
377    pub difficulty_range: (f64, f64),
378    /// Quality threshold
379    pub quality_threshold: f64,
380    /// Data filters
381    pub filters: Vec<DataFilter>,
382}
383
384#[derive(Debug, Clone, Serialize, Deserialize)]
385pub struct DataFilter {
386    /// Filter type
387    pub filter_type: FilterType,
388    /// Filter parameters
389    pub parameters: HashMap<String, String>,
390}
391
392#[derive(Debug, Clone, Serialize, Deserialize)]
393pub enum FilterType {
394    /// Length-based filter
395    Length {
396        min_length: usize,
397        max_length: usize,
398    },
399    /// Complexity-based filter
400    Complexity { complexity_metric: String },
401    /// Topic-based filter
402    Topic { topics: Vec<String> },
403    /// Language-based filter
404    Language { languages: Vec<String> },
405    /// Custom filter
406    Custom { filter_name: String },
407}
408
409#[derive(Debug, Clone, Serialize, Deserialize)]
410pub struct SuccessCriteria {
411    /// Success metric
412    pub metric: String,
413    /// Target value
414    pub target_value: f64,
415    /// Minimum epochs before advancement
416    pub min_epochs: usize,
417    /// Patience for achieving target
418    pub patience: usize,
419}
420
421#[derive(Debug, Clone, Serialize, Deserialize)]
422pub enum DifficultyAssessment {
423    /// Static difficulty scores
424    Static { score_field: String },
425    /// Dynamic difficulty based on model performance
426    Dynamic {
427        assessment_method: DynamicAssessmentMethod,
428    },
429    /// Learned difficulty function
430    Learned { model_path: String },
431}
432
433#[derive(Debug, Clone, Serialize, Deserialize)]
434pub enum DynamicAssessmentMethod {
435    /// Loss-based difficulty
436    LossBased,
437    /// Gradient-based difficulty
438    GradientBased,
439    /// Uncertainty-based difficulty
440    UncertaintyBased,
441    /// Attention-based difficulty
442    AttentionBased,
443}
444
445#[derive(Debug, Clone, Serialize, Deserialize)]
446pub struct PacingFunction {
447    /// Pacing type
448    pub pacing_type: PacingType,
449    /// Pacing parameters
450    pub parameters: HashMap<String, f64>,
451}
452
453#[derive(Debug, Clone, Serialize, Deserialize)]
454pub enum PacingType {
455    /// Linear pacing
456    Linear,
457    /// Exponential pacing
458    Exponential,
459    /// Root pacing
460    Root,
461    /// Logarithmic pacing
462    Logarithmic,
463    /// Custom pacing function
464    Custom { function_name: String },
465}
466
467#[derive(Debug, Clone, Serialize, Deserialize)]
468pub struct CurriculumScheduling {
469    /// Scheduling strategy
470    pub strategy: CurriculumSchedulingStrategy,
471    /// Update frequency
472    pub update_frequency: usize,
473}
474
475#[derive(Debug, Clone, Serialize, Deserialize)]
476pub enum CurriculumSchedulingStrategy {
477    /// Epoch-based scheduling
478    EpochBased,
479    /// Step-based scheduling
480    StepBased,
481    /// Performance-based scheduling
482    PerformanceBased { trigger_metric: String },
483    /// Time-based scheduling
484    TimeBased { interval: Duration },
485}
486
487/// Active learning configuration
488#[derive(Debug, Clone, Serialize, Deserialize)]
489pub struct ActiveLearningConfig {
490    /// Query strategy
491    pub query_strategy: QueryStrategy,
492    /// Sampling configuration
493    pub sampling: SamplingConfig,
494    /// Annotation configuration
495    pub annotation: AnnotationConfig,
496    /// Integration settings
497    pub integration: ActiveLearningIntegration,
498}
499
500#[derive(Debug, Clone, Serialize, Deserialize)]
501pub enum QueryStrategy {
502    /// Uncertainty sampling
503    UncertaintySampling {
504        uncertainty_measure: UncertaintyMeasure,
505    },
506    /// Query by committee
507    QueryByCommittee {
508        committee_size: usize,
509        disagreement_measure: DisagreementMeasure,
510    },
511    /// Expected gradient length
512    ExpectedGradientLength,
513    /// Bayesian active learning by disagreement
514    BALD,
515    /// Core-set selection
516    CoreSet { selection_method: CoreSetMethod },
517}
518
519#[derive(Debug, Clone, Serialize, Deserialize)]
520pub enum UncertaintyMeasure {
521    /// Least confidence
522    LeastConfidence,
523    /// Margin sampling
524    MarginSampling,
525    /// Entropy
526    Entropy,
527    /// Variation ratios
528    VariationRatios,
529}
530
531#[derive(Debug, Clone, Serialize, Deserialize)]
532pub enum DisagreementMeasure {
533    /// Vote entropy
534    VoteEntropy,
535    /// KL divergence
536    KLDivergence,
537    /// Average KL divergence
538    AverageKLDivergence,
539}
540
541#[derive(Debug, Clone, Serialize, Deserialize)]
542pub enum CoreSetMethod {
543    /// K-center greedy
544    KCenterGreedy,
545    /// K-means++
546    KMeansPlusPlus,
547    /// Facility location
548    FacilityLocation,
549}
550
551#[derive(Debug, Clone, Serialize, Deserialize)]
552pub struct SamplingConfig {
553    /// Batch size for active learning queries
554    pub batch_size: usize,
555    /// Sampling budget
556    pub budget: usize,
557    /// Diversity constraint
558    pub diversity_constraint: Option<DiversityConstraint>,
559}
560
561#[derive(Debug, Clone, Serialize, Deserialize)]
562pub struct DiversityConstraint {
563    /// Diversity measure
564    pub measure: DiversityMeasure,
565    /// Minimum diversity threshold
566    pub threshold: f64,
567}
568
569#[derive(Debug, Clone, Serialize, Deserialize)]
570pub enum DiversityMeasure {
571    /// Cosine similarity
572    CosineSimilarity,
573    /// Euclidean distance
574    EuclideanDistance,
575    /// Jaccard similarity
576    JaccardSimilarity,
577}
578
579#[derive(Debug, Clone, Serialize, Deserialize)]
580pub struct AnnotationConfig {
581    /// Annotation source
582    pub source: AnnotationSource,
583    /// Quality control
584    pub quality_control: QualityControl,
585}
586
587#[derive(Debug, Clone, Serialize, Deserialize)]
588pub enum AnnotationSource {
589    /// Human annotators
590    Human { annotator_pool: Vec<String> },
591    /// Automatic annotation
592    Automatic {
593        model_path: String,
594        confidence_threshold: f64,
595    },
596    /// Hybrid human + automatic
597    Hybrid {
598        automatic_threshold: f64,
599        human_verification: bool,
600    },
601}
602
603#[derive(Debug, Clone, Serialize, Deserialize)]
604pub struct QualityControl {
605    /// Multiple annotations per sample
606    pub multi_annotation: bool,
607    /// Agreement threshold
608    pub agreement_threshold: f64,
609    /// Quality assessment method
610    pub assessment_method: QualityAssessmentMethod,
611}
612
613#[derive(Debug, Clone, Serialize, Deserialize)]
614pub enum QualityAssessmentMethod {
615    /// Inter-annotator agreement
616    InterAnnotatorAgreement,
617    /// Gold standard comparison
618    GoldStandard { gold_set_path: String },
619    /// Model-based quality assessment
620    ModelBased { quality_model_path: String },
621}
622
623#[derive(Debug, Clone, Serialize, Deserialize)]
624pub struct ActiveLearningIntegration {
625    /// Update frequency
626    pub update_frequency: usize,
627    /// Minimum new samples before update
628    pub min_new_samples: usize,
629    /// Retrain from scratch
630    pub retrain_from_scratch: bool,
631}
632
633/// Multi-modal data handling
634#[derive(Debug, Clone, Serialize, Deserialize)]
635pub struct MultiModalConfig {
636    /// Supported modalities
637    pub modalities: Vec<Modality>,
638    /// Fusion strategy
639    pub fusion_strategy: FusionStrategy,
640    /// Alignment configuration
641    pub alignment: AlignmentConfig,
642    /// Preprocessing configuration
643    pub preprocessing: MultiModalPreprocessing,
644}
645
646#[derive(Debug, Clone, Serialize, Deserialize)]
647pub struct Modality {
648    /// Modality type
649    pub modality_type: ModalityType,
650    /// Preprocessing configuration
651    pub preprocessing: PreprocessingConfig,
652    /// Feature extraction
653    pub feature_extraction: FeatureExtractionConfig,
654}
655
656#[derive(Debug, Clone, Serialize, Deserialize)]
657pub enum ModalityType {
658    Text,
659    Image,
660    Audio,
661    Video,
662    Tabular,
663    Graph,
664    Custom { modality_name: String },
665}
666
667#[derive(Debug, Clone, Serialize, Deserialize)]
668pub struct PreprocessingConfig {
669    /// Preprocessing steps
670    pub steps: Vec<PreprocessingStep>,
671    /// Normalization
672    pub normalization: NormalizationConfig,
673}
674
675#[derive(Debug, Clone, Serialize, Deserialize)]
676pub struct PreprocessingStep {
677    /// Step name
678    pub name: String,
679    /// Step type
680    pub step_type: PreprocessingStepType,
681    /// Parameters
682    pub parameters: HashMap<String, String>,
683}
684
685#[derive(Debug, Clone, Serialize, Deserialize)]
686pub enum PreprocessingStepType {
687    /// Tokenization
688    Tokenization,
689    /// Resize
690    Resize,
691    /// Crop
692    Crop,
693    /// Filter
694    Filter,
695    /// Transform
696    Transform,
697    /// Custom step
698    Custom { step_name: String },
699}
700
701#[derive(Debug, Clone, Serialize, Deserialize)]
702pub struct NormalizationConfig {
703    /// Normalization type
704    pub normalization_type: NormalizationType,
705    /// Parameters
706    pub parameters: HashMap<String, f64>,
707}
708
709#[derive(Debug, Clone, Serialize, Deserialize)]
710pub enum NormalizationType {
711    /// Min-max normalization
712    MinMax,
713    /// Z-score normalization
714    ZScore,
715    /// Robust normalization
716    Robust,
717    /// Unit normalization
718    Unit,
719}
720
721#[derive(Debug, Clone, Serialize, Deserialize)]
722pub struct FeatureExtractionConfig {
723    /// Extraction method
724    pub method: FeatureExtractionMethod,
725    /// Output dimension
726    pub output_dim: usize,
727}
728
729#[derive(Debug, Clone, Serialize, Deserialize)]
730pub enum FeatureExtractionMethod {
731    /// Pre-trained model
732    PretrainedModel { model_path: String },
733    /// Custom extraction
734    Custom { extractor_name: String },
735    /// Raw features
736    Raw,
737}
738
739#[derive(Debug, Clone, Serialize, Deserialize)]
740pub enum FusionStrategy {
741    /// Early fusion (feature level)
742    EarlyFusion,
743    /// Late fusion (decision level)
744    LateFusion,
745    /// Intermediate fusion
746    IntermediateFusion { fusion_layers: Vec<usize> },
747    /// Attention-based fusion
748    AttentionFusion,
749    /// Cross-modal attention
750    CrossModalAttention,
751}
752
753#[derive(Debug, Clone, Serialize, Deserialize)]
754pub struct AlignmentConfig {
755    /// Alignment method
756    pub method: AlignmentMethod,
757    /// Temporal alignment for time-series modalities
758    pub temporal_alignment: bool,
759}
760
761#[derive(Debug, Clone, Serialize, Deserialize)]
762pub enum AlignmentMethod {
763    /// Timestamp-based alignment
764    Timestamp,
765    /// Learned alignment
766    Learned,
767    /// Manual alignment
768    Manual {
769        alignment_map: HashMap<String, String>,
770    },
771}
772
773#[derive(Debug, Clone, Serialize, Deserialize)]
774pub struct MultiModalPreprocessing {
775    /// Synchronization requirements
776    pub synchronization: SynchronizationConfig,
777    /// Missing modality handling
778    pub missing_modality_handling: MissingModalityHandling,
779}
780
781#[derive(Debug, Clone, Serialize, Deserialize)]
782pub struct SynchronizationConfig {
783    /// Require all modalities
784    pub require_all: bool,
785    /// Synchronization window
786    pub sync_window: Duration,
787}
788
789#[derive(Debug, Clone, Serialize, Deserialize)]
790pub enum MissingModalityHandling {
791    /// Skip samples with missing modalities
792    Skip,
793    /// Use default values
794    DefaultValue,
795    /// Impute missing modalities
796    Impute { imputation_method: String },
797    /// Train separate models
798    SeparateModels,
799}
800
801/// Data validation framework
802#[derive(Debug, Clone, Serialize, Deserialize)]
803pub struct DataValidationConfig {
804    /// Validation rules
805    pub rules: Vec<ValidationRule>,
806    /// Validation strategy
807    pub strategy: ValidationStrategy,
808    /// Error handling
809    pub error_handling: ErrorHandling,
810}
811
812#[derive(Debug, Clone, Serialize, Deserialize)]
813pub struct ValidationRule {
814    /// Rule name
815    pub name: String,
816    /// Rule type
817    pub rule_type: ValidationRuleType,
818    /// Severity level
819    pub severity: ValidationSeverity,
820    /// Parameters
821    pub parameters: HashMap<String, String>,
822}
823
824#[derive(Debug, Clone, Serialize, Deserialize)]
825pub enum ValidationRuleType {
826    /// Schema validation
827    Schema,
828    /// Range validation
829    Range,
830    /// Format validation
831    Format,
832    /// Consistency validation
833    Consistency,
834    /// Quality validation
835    Quality,
836    /// Custom validation
837    Custom { validator_name: String },
838}
839
840#[derive(Debug, Clone, Serialize, Deserialize)]
841pub enum ValidationSeverity {
842    Error,
843    Warning,
844    Info,
845}
846
847#[derive(Debug, Clone, Serialize, Deserialize)]
848pub enum ValidationStrategy {
849    /// Validate all data
850    All,
851    /// Sample-based validation
852    Sample { sample_rate: f64 },
853    /// Batch-based validation
854    Batch { batch_interval: usize },
855}
856
857#[derive(Debug, Clone, Serialize, Deserialize)]
858pub enum ErrorHandling {
859    /// Fail on any error
860    Strict,
861    /// Skip invalid samples
862    Skip,
863    /// Attempt to fix errors
864    Fix,
865    /// Log and continue
866    LogAndContinue,
867}
868
869/// Main data pipeline orchestrator
870#[allow(dead_code)]
871pub struct DataPipeline {
872    /// Pipeline configuration
873    #[allow(dead_code)]
874    config: DataPipelineConfig,
875    /// Active streaming datasets
876    streaming_datasets: Arc<Mutex<HashMap<String, StreamingDataset>>>,
877    /// Dynamic augmentation manager
878    augmentation_manager: Arc<Mutex<DynamicAugmentationManager>>,
879    /// Curriculum learning manager
880    curriculum_manager: Arc<Mutex<CurriculumLearningManager>>,
881    /// Active learning manager
882    active_learning_manager: Arc<Mutex<ActiveLearningManager>>,
883    /// Multi-modal data handler
884    multimodal_handler: Arc<Mutex<MultiModalHandler>>,
885    /// Data validator
886    validator: Arc<Mutex<DataValidator>>,
887}
888
889#[derive(Debug, Clone, Serialize, Deserialize)]
890pub struct DataPipelineConfig {
891    /// Streaming dataset configuration
892    pub streaming: StreamingDatasetConfig,
893    /// Dynamic augmentation configuration
894    pub augmentation: DynamicAugmentationConfig,
895    /// Curriculum learning configuration
896    pub curriculum: CurriculumLearningConfig,
897    /// Active learning configuration
898    pub active_learning: ActiveLearningConfig,
899    /// Multi-modal configuration
900    pub multimodal: MultiModalConfig,
901    /// Data validation configuration
902    pub validation: DataValidationConfig,
903    /// Distributed processing configuration
904    pub distributed: DistributedProcessingConfig,
905}
906
907#[derive(Debug, Clone, Serialize, Deserialize)]
908pub struct DistributedProcessingConfig {
909    /// Number of worker processes
910    pub num_workers: usize,
911    /// Processing backend
912    pub backend: ProcessingBackend,
913    /// Load balancing strategy
914    pub load_balancing: LoadBalancingStrategy,
915}
916
917#[derive(Debug, Clone, Serialize, Deserialize)]
918pub enum ProcessingBackend {
919    /// Thread-based processing
920    Threading,
921    /// Process-based processing
922    Multiprocessing,
923    /// Ray distributed processing
924    Ray { ray_config: HashMap<String, String> },
925    /// Dask distributed processing
926    Dask {
927        dask_config: HashMap<String, String>,
928    },
929}
930
931#[derive(Debug, Clone, Serialize, Deserialize)]
932pub enum LoadBalancingStrategy {
933    /// Round-robin
934    RoundRobin,
935    /// Work-stealing
936    WorkStealing,
937    /// Dynamic load balancing
938    Dynamic,
939}
940
941// Implementation structs (simplified for space)
942pub struct StreamingDataset {
943    pub config: StreamingDatasetConfig,
944    pub buffer: VecDeque<DataSample>,
945    pub stats: StreamingStats,
946}
947
948pub struct DynamicAugmentationManager {
949    pub config: DynamicAugmentationConfig,
950    pub strategies: Vec<AugmentationStrategy>,
951    pub stats: AugmentationStats,
952}
953
954pub struct CurriculumLearningManager {
955    pub config: CurriculumLearningConfig,
956    pub current_stage: usize,
957    pub stats: CurriculumStats,
958}
959
960pub struct ActiveLearningManager {
961    pub config: ActiveLearningConfig,
962    pub query_pool: Vec<DataSample>,
963    pub stats: ActiveLearningStats,
964}
965
966pub struct MultiModalHandler {
967    pub config: MultiModalConfig,
968    pub modality_processors: HashMap<String, Box<dyn ModalityProcessor>>,
969    pub stats: MultiModalStats,
970}
971
972pub struct DataValidator {
973    pub config: DataValidationConfig,
974    pub validators: Vec<Box<dyn Validator>>,
975    pub stats: ValidationStats,
976}
977
978#[derive(Debug, Clone)]
979pub struct DataSample {
980    pub id: String,
981    pub data: HashMap<String, Tensor>,
982    pub metadata: HashMap<String, String>,
983    pub timestamp: SystemTime,
984}
985
986#[derive(Debug, Clone)]
987pub struct StreamingStats {
988    pub samples_processed: usize,
989    pub bytes_processed: u64,
990    pub processing_time: Duration,
991    pub error_count: usize,
992}
993
994#[derive(Debug, Clone)]
995pub struct AugmentationStats {
996    pub augmentations_applied: HashMap<String, usize>,
997    pub processing_time: Duration,
998    pub performance_impact: HashMap<String, f64>,
999}
1000
1001#[derive(Debug, Clone)]
1002pub struct CurriculumStats {
1003    pub current_difficulty: f64,
1004    pub stage_progress: f64,
1005    pub competency_scores: HashMap<String, f64>,
1006}
1007
1008#[derive(Debug, Clone)]
1009pub struct ActiveLearningStats {
1010    pub queries_made: usize,
1011    pub annotations_received: usize,
1012    pub model_improvement: f64,
1013}
1014
1015#[derive(Debug, Clone)]
1016pub struct MultiModalStats {
1017    pub modalities_processed: HashMap<String, usize>,
1018    pub fusion_efficiency: f64,
1019    pub alignment_accuracy: f64,
1020}
1021
1022#[derive(Debug, Clone)]
1023pub struct ValidationStats {
1024    pub samples_validated: usize,
1025    pub errors_detected: HashMap<String, usize>,
1026    pub validation_time: Duration,
1027}
1028
1029// Traits for extensibility
1030pub trait ModalityProcessor: Send + Sync {
1031    fn process(&self, data: &Tensor) -> Result<Tensor>;
1032    fn get_features(&self, data: &Tensor) -> Result<Tensor>;
1033}
1034
1035pub trait Validator: Send + Sync {
1036    fn validate(&self, sample: &DataSample) -> Result<ValidationResult>;
1037}
1038
1039#[derive(Debug, Clone)]
1040pub struct ValidationResult {
1041    pub is_valid: bool,
1042    pub errors: Vec<ValidationError>,
1043    pub warnings: Vec<ValidationWarning>,
1044}
1045
1046#[derive(Debug, Clone)]
1047pub struct ValidationError {
1048    pub rule_name: String,
1049    pub message: String,
1050    pub severity: ValidationSeverity,
1051}
1052
1053#[derive(Debug, Clone)]
1054pub struct ValidationWarning {
1055    pub rule_name: String,
1056    pub message: String,
1057}
1058
1059impl DataPipeline {
1060    pub fn new(config: DataPipelineConfig) -> Self {
1061        Self {
1062            config,
1063            streaming_datasets: Arc::new(Mutex::new(HashMap::new())),
1064            augmentation_manager: Arc::new(Mutex::new(DynamicAugmentationManager::new())),
1065            curriculum_manager: Arc::new(Mutex::new(CurriculumLearningManager::new())),
1066            active_learning_manager: Arc::new(Mutex::new(ActiveLearningManager::new())),
1067            multimodal_handler: Arc::new(Mutex::new(MultiModalHandler::new())),
1068            validator: Arc::new(Mutex::new(DataValidator::new())),
1069        }
1070    }
1071
1072    pub async fn start_streaming(&self, _dataset_id: &str) -> Result<()> {
1073        // Start streaming for the specified dataset
1074        Ok(())
1075    }
1076
1077    pub async fn get_batch(&self, _batch_size: usize) -> Result<Vec<DataSample>> {
1078        // Get a batch of processed data samples
1079        Ok(vec![])
1080    }
1081
1082    pub async fn validate_batch(&self, _samples: &[DataSample]) -> Result<Vec<ValidationResult>> {
1083        // Validate a batch of samples
1084        Ok(vec![])
1085    }
1086}
1087
1088// Default implementations
1089impl Default for DynamicAugmentationManager {
1090    fn default() -> Self {
1091        Self::new()
1092    }
1093}
1094
1095impl DynamicAugmentationManager {
1096    pub fn new() -> Self {
1097        Self {
1098            config: DynamicAugmentationConfig {
1099                strategies: vec![],
1100                adaptive: AdaptiveAugmentationConfig {
1101                    enabled: false,
1102                    strategy: AdaptationStrategy::PerformanceBased {
1103                        target_metric: "accuracy".to_string(),
1104                        threshold: 0.8,
1105                    },
1106                    update_frequency: 100,
1107                    metrics: vec!["accuracy".to_string()],
1108                },
1109                scheduling: AugmentationScheduling {
1110                    schedule_type: ScheduleType::Fixed,
1111                    parameters: HashMap::new(),
1112                },
1113            },
1114            strategies: vec![],
1115            stats: AugmentationStats {
1116                augmentations_applied: HashMap::new(),
1117                processing_time: Duration::from_secs(0),
1118                performance_impact: HashMap::new(),
1119            },
1120        }
1121    }
1122}
1123
1124impl Default for CurriculumLearningManager {
1125    fn default() -> Self {
1126        Self::new()
1127    }
1128}
1129
1130impl CurriculumLearningManager {
1131    pub fn new() -> Self {
1132        Self {
1133            config: CurriculumLearningConfig {
1134                strategy: CurriculumStrategy::Manual { stages: vec![] },
1135                difficulty_assessment: DifficultyAssessment::Static {
1136                    score_field: "difficulty".to_string(),
1137                },
1138                pacing: PacingFunction {
1139                    pacing_type: PacingType::Linear,
1140                    parameters: HashMap::new(),
1141                },
1142                scheduling: CurriculumScheduling {
1143                    strategy: CurriculumSchedulingStrategy::EpochBased,
1144                    update_frequency: 1,
1145                },
1146            },
1147            current_stage: 0,
1148            stats: CurriculumStats {
1149                current_difficulty: 0.0,
1150                stage_progress: 0.0,
1151                competency_scores: HashMap::new(),
1152            },
1153        }
1154    }
1155}
1156
1157impl Default for ActiveLearningManager {
1158    fn default() -> Self {
1159        Self::new()
1160    }
1161}
1162
1163impl ActiveLearningManager {
1164    pub fn new() -> Self {
1165        Self {
1166            config: ActiveLearningConfig {
1167                query_strategy: QueryStrategy::UncertaintySampling {
1168                    uncertainty_measure: UncertaintyMeasure::Entropy,
1169                },
1170                sampling: SamplingConfig {
1171                    batch_size: 10,
1172                    budget: 1000,
1173                    diversity_constraint: None,
1174                },
1175                annotation: AnnotationConfig {
1176                    source: AnnotationSource::Human {
1177                        annotator_pool: vec![],
1178                    },
1179                    quality_control: QualityControl {
1180                        multi_annotation: false,
1181                        agreement_threshold: 0.8,
1182                        assessment_method: QualityAssessmentMethod::InterAnnotatorAgreement,
1183                    },
1184                },
1185                integration: ActiveLearningIntegration {
1186                    update_frequency: 100,
1187                    min_new_samples: 10,
1188                    retrain_from_scratch: false,
1189                },
1190            },
1191            query_pool: vec![],
1192            stats: ActiveLearningStats {
1193                queries_made: 0,
1194                annotations_received: 0,
1195                model_improvement: 0.0,
1196            },
1197        }
1198    }
1199}
1200
1201impl Default for MultiModalHandler {
1202    fn default() -> Self {
1203        Self::new()
1204    }
1205}
1206
1207impl MultiModalHandler {
1208    pub fn new() -> Self {
1209        Self {
1210            config: MultiModalConfig {
1211                modalities: vec![],
1212                fusion_strategy: FusionStrategy::EarlyFusion,
1213                alignment: AlignmentConfig {
1214                    method: AlignmentMethod::Timestamp,
1215                    temporal_alignment: false,
1216                },
1217                preprocessing: MultiModalPreprocessing {
1218                    synchronization: SynchronizationConfig {
1219                        require_all: true,
1220                        sync_window: Duration::from_secs(1),
1221                    },
1222                    missing_modality_handling: MissingModalityHandling::Skip,
1223                },
1224            },
1225            modality_processors: HashMap::new(),
1226            stats: MultiModalStats {
1227                modalities_processed: HashMap::new(),
1228                fusion_efficiency: 0.0,
1229                alignment_accuracy: 0.0,
1230            },
1231        }
1232    }
1233}
1234
1235impl Default for DataValidator {
1236    fn default() -> Self {
1237        Self::new()
1238    }
1239}
1240
1241impl DataValidator {
1242    pub fn new() -> Self {
1243        Self {
1244            config: DataValidationConfig {
1245                rules: vec![],
1246                strategy: ValidationStrategy::All,
1247                error_handling: ErrorHandling::LogAndContinue,
1248            },
1249            validators: vec![],
1250            stats: ValidationStats {
1251                samples_validated: 0,
1252                errors_detected: HashMap::new(),
1253                validation_time: Duration::from_secs(0),
1254            },
1255        }
1256    }
1257}
1258
1259#[cfg(test)]
1260mod tests {
1261    use super::*;
1262
1263    #[test]
1264    fn test_data_pipeline_creation() {
1265        let config = DataPipelineConfig {
1266            streaming: StreamingDatasetConfig {
1267                sources: vec![],
1268                buffer_size: 1000,
1269                prefetch_size: 100,
1270                shuffle: ShuffleConfig {
1271                    enabled: true,
1272                    buffer_size: 1000,
1273                    strategy: ShuffleStrategy::Random,
1274                    seed: Some(42),
1275                },
1276                batching: BatchingConfig {
1277                    batch_size: 32,
1278                    dynamic: false,
1279                    max_batch_size: 64,
1280                    strategy: BatchingStrategy::Fixed,
1281                    drop_last: false,
1282                },
1283                caching: CachingConfig {
1284                    enabled: false,
1285                    cache_type: CacheType::Memory,
1286                    max_size_gb: 1.0,
1287                    eviction_policy: EvictionPolicy::LRU,
1288                    compression: CompressionConfig {
1289                        enabled: false,
1290                        algorithm: CompressionAlgorithm::Gzip,
1291                        level: 6,
1292                    },
1293                },
1294            },
1295            augmentation: DynamicAugmentationConfig {
1296                strategies: vec![],
1297                adaptive: AdaptiveAugmentationConfig {
1298                    enabled: false,
1299                    strategy: AdaptationStrategy::PerformanceBased {
1300                        target_metric: "accuracy".to_string(),
1301                        threshold: 0.8,
1302                    },
1303                    update_frequency: 100,
1304                    metrics: vec![],
1305                },
1306                scheduling: AugmentationScheduling {
1307                    schedule_type: ScheduleType::Fixed,
1308                    parameters: HashMap::new(),
1309                },
1310            },
1311            curriculum: CurriculumLearningConfig {
1312                strategy: CurriculumStrategy::Manual { stages: vec![] },
1313                difficulty_assessment: DifficultyAssessment::Static {
1314                    score_field: "difficulty".to_string(),
1315                },
1316                pacing: PacingFunction {
1317                    pacing_type: PacingType::Linear,
1318                    parameters: HashMap::new(),
1319                },
1320                scheduling: CurriculumScheduling {
1321                    strategy: CurriculumSchedulingStrategy::EpochBased,
1322                    update_frequency: 1,
1323                },
1324            },
1325            active_learning: ActiveLearningConfig {
1326                query_strategy: QueryStrategy::UncertaintySampling {
1327                    uncertainty_measure: UncertaintyMeasure::Entropy,
1328                },
1329                sampling: SamplingConfig {
1330                    batch_size: 10,
1331                    budget: 1000,
1332                    diversity_constraint: None,
1333                },
1334                annotation: AnnotationConfig {
1335                    source: AnnotationSource::Human {
1336                        annotator_pool: vec![],
1337                    },
1338                    quality_control: QualityControl {
1339                        multi_annotation: false,
1340                        agreement_threshold: 0.8,
1341                        assessment_method: QualityAssessmentMethod::InterAnnotatorAgreement,
1342                    },
1343                },
1344                integration: ActiveLearningIntegration {
1345                    update_frequency: 100,
1346                    min_new_samples: 10,
1347                    retrain_from_scratch: false,
1348                },
1349            },
1350            multimodal: MultiModalConfig {
1351                modalities: vec![],
1352                fusion_strategy: FusionStrategy::EarlyFusion,
1353                alignment: AlignmentConfig {
1354                    method: AlignmentMethod::Timestamp,
1355                    temporal_alignment: false,
1356                },
1357                preprocessing: MultiModalPreprocessing {
1358                    synchronization: SynchronizationConfig {
1359                        require_all: true,
1360                        sync_window: Duration::from_secs(1),
1361                    },
1362                    missing_modality_handling: MissingModalityHandling::Skip,
1363                },
1364            },
1365            validation: DataValidationConfig {
1366                rules: vec![],
1367                strategy: ValidationStrategy::All,
1368                error_handling: ErrorHandling::LogAndContinue,
1369            },
1370            distributed: DistributedProcessingConfig {
1371                num_workers: 4,
1372                backend: ProcessingBackend::Threading,
1373                load_balancing: LoadBalancingStrategy::RoundRobin,
1374            },
1375        };
1376
1377        let pipeline = DataPipeline::new(config);
1378        assert!(pipeline
1379            .streaming_datasets
1380            .lock()
1381            .expect("lock should not be poisoned")
1382            .is_empty());
1383    }
1384
1385    #[test]
1386    fn test_augmentation_manager() {
1387        let manager = DynamicAugmentationManager::new();
1388        assert!(manager.strategies.is_empty());
1389        assert_eq!(manager.stats.augmentations_applied.len(), 0);
1390    }
1391
1392    #[test]
1393    fn test_curriculum_manager() {
1394        let manager = CurriculumLearningManager::new();
1395        assert_eq!(manager.current_stage, 0);
1396        assert_eq!(manager.stats.current_difficulty, 0.0);
1397    }
1398
1399    #[test]
1400    fn test_active_learning_manager() {
1401        let manager = ActiveLearningManager::new();
1402        assert_eq!(manager.stats.queries_made, 0);
1403        assert_eq!(manager.stats.annotations_received, 0);
1404    }
1405
1406    #[test]
1407    fn test_multimodal_handler() {
1408        let handler = MultiModalHandler::new();
1409        assert!(handler.modality_processors.is_empty());
1410        assert_eq!(handler.stats.fusion_efficiency, 0.0);
1411    }
1412
1413    #[test]
1414    fn test_data_validator() {
1415        let validator = DataValidator::new();
1416        assert!(validator.validators.is_empty());
1417        assert_eq!(validator.stats.samples_validated, 0);
1418    }
1419}
trustformers_training/data_pipeline.rs

trustformers_training/
data_pipeline.rs
