sklears_compose/
enhanced_error_messages.rs

1//! Enhanced error messages with actionable suggestions and context-aware diagnostics
2//!
3//! This module provides comprehensive error enhancement capabilities for ML pipelines including:
4//! - Context-aware error messages with relevant diagnostic information
5//! - Actionable suggestions for fixing common issues
6//! - Learning-based error pattern recognition and resolution
7//! - Error recovery strategies and automated fixes
8//! - Comprehensive error reporting and analysis
9//! - Integration with pipeline debugging and monitoring systems
10
11use crate::error::{Result, SklearsComposeError};
12use serde::{Deserialize, Serialize};
13use std::collections::{HashMap, VecDeque};
14use std::sync::{Arc, RwLock};
15use std::time::{Duration, Instant, SystemTime, UNIX_EPOCH};
16
17/// Enhanced error message system for ML pipelines
18#[derive(Debug)]
19pub struct ErrorMessageEnhancer {
20    /// Error pattern analyzer for learning from historical errors
21    pattern_analyzer: Arc<RwLock<ErrorPatternAnalyzer>>,
22
23    /// Context collector for gathering relevant diagnostic information
24    context_collector: Arc<RwLock<ErrorContextCollector>>,
25
26    /// Suggestion engine for generating actionable recommendations
27    suggestion_engine: Arc<RwLock<SuggestionEngine>>,
28
29    /// Recovery advisor for automated error recovery strategies
30    recovery_advisor: Arc<RwLock<RecoveryAdvisor>>,
31
32    /// Error formatter for creating user-friendly error messages
33    error_formatter: Arc<RwLock<ErrorFormatter>>,
34
35    /// Configuration for error enhancement behavior
36    config: ErrorEnhancementConfig,
37}
38
39/// Configuration for error message enhancement
40#[derive(Debug, Clone, Serialize, Deserialize)]
41pub struct ErrorEnhancementConfig {
42    /// Enable pattern-based error analysis
43    pub enable_pattern_analysis: bool,
44
45    /// Enable context collection for diagnostics
46    pub enable_context_collection: bool,
47
48    /// Enable automated suggestion generation
49    pub enable_auto_suggestions: bool,
50
51    /// Enable recovery strategy recommendations
52    pub enable_recovery_strategies: bool,
53
54    /// Maximum number of suggestions per error
55    pub max_suggestions_per_error: usize,
56
57    /// Confidence threshold for suggestions (0.0 to 1.0)
58    pub suggestion_confidence_threshold: f64,
59
60    /// Enable learning from error resolution outcomes
61    pub enable_learning: bool,
62
63    /// Error history size for pattern analysis
64    pub error_history_size: usize,
65
66    /// Enable detailed diagnostic information
67    pub enable_detailed_diagnostics: bool,
68}
69
70/// Error pattern analyzer for learning from historical errors
71#[derive(Debug)]
72pub struct ErrorPatternAnalyzer {
73    /// Historical error patterns
74    error_patterns: HashMap<String, ErrorPattern>,
75
76    /// Error frequency tracking
77    error_frequency: HashMap<String, usize>,
78
79    /// Resolution success tracking
80    resolution_success: HashMap<String, f64>,
81
82    /// Pattern learning configuration
83    config: PatternAnalysisConfig,
84}
85
86/// Error pattern information
87#[derive(Debug, Clone, Serialize, Deserialize)]
88pub struct ErrorPattern {
89    /// Pattern identifier
90    pub pattern_id: String,
91
92    /// Error type or category
93    pub error_type: String,
94
95    /// Common error message patterns
96    pub message_patterns: Vec<String>,
97
98    /// Associated context patterns
99    pub context_patterns: Vec<ContextPattern>,
100
101    /// Successful resolution strategies
102    pub resolution_strategies: Vec<ResolutionStrategy>,
103
104    /// Pattern frequency and recency
105    pub frequency: usize,
106
107    /// Last occurrence timestamp
108    pub last_occurrence: SystemTime,
109
110    /// Success rate of suggested fixes
111    pub success_rate: f64,
112}
113
114/// Context pattern for error classification
115#[derive(Debug, Clone, Serialize, Deserialize)]
116pub struct ContextPattern {
117    /// Context type (data, configuration, environment, etc.)
118    pub context_type: ContextType,
119
120    /// Pattern description
121    pub pattern: String,
122
123    /// Pattern matching confidence
124    pub confidence: f64,
125}
126
127/// Types of error context
128#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
129pub enum ContextType {
130    /// DataShape
131    DataShape,
132    /// DataType
133    DataType,
134    /// Configuration
135    Configuration,
136    /// Environment
137    Environment,
138    /// Dependencies
139    Dependencies,
140    /// Resources
141    Resources,
142    /// Pipeline
143    Pipeline,
144    /// Model
145    Model,
146    /// Performance
147    Performance,
148    /// Network
149    Network,
150}
151
152/// Error resolution strategy
153#[derive(Debug, Clone, Serialize, Deserialize)]
154pub struct ResolutionStrategy {
155    /// Strategy identifier
156    pub strategy_id: String,
157
158    /// Strategy description
159    pub description: String,
160
161    /// Implementation steps
162    pub steps: Vec<ResolutionStep>,
163
164    /// Expected success rate
165    pub success_rate: f64,
166
167    /// Difficulty level
168    pub difficulty: DifficultyLevel,
169
170    /// Required expertise level
171    pub expertise_level: ExpertiseLevel,
172}
173
174/// Individual resolution step
175#[derive(Debug, Clone, Serialize, Deserialize)]
176pub struct ResolutionStep {
177    /// Step description
178    pub description: String,
179
180    /// Code example or command
181    pub code_example: Option<String>,
182
183    /// Documentation reference
184    pub documentation_link: Option<String>,
185
186    /// Validation method
187    pub validation: Option<String>,
188}
189
190/// Difficulty level for resolution strategies
191#[derive(Debug, Clone, Serialize, Deserialize)]
192pub enum DifficultyLevel {
193    /// Trivial
194    Trivial,
195    /// Easy
196    Easy,
197    /// Medium
198    Medium,
199    /// Hard
200    Hard,
201    /// Expert
202    Expert,
203}
204
205/// Required expertise level
206#[derive(Debug, Clone, Serialize, Deserialize)]
207pub enum ExpertiseLevel {
208    /// Beginner
209    Beginner,
210    /// Intermediate
211    Intermediate,
212    /// Advanced
213    Advanced,
214    /// Expert
215    Expert,
216}
217
218/// Error context collector for diagnostic information
219#[derive(Debug)]
220pub struct ErrorContextCollector {
221    /// Context providers for different types of information
222    context_providers: HashMap<ContextType, Box<dyn ContextProvider>>,
223
224    /// Cached context information
225    context_cache: HashMap<String, EnhancedErrorContext>,
226
227    /// Collection configuration
228    config: ContextCollectionConfig,
229}
230
231/// Enhanced error context with comprehensive diagnostic information
232#[derive(Debug, Clone, Serialize, Deserialize)]
233pub struct EnhancedErrorContext {
234    /// Error occurrence timestamp
235    pub timestamp: SystemTime,
236
237    /// Pipeline context information
238    pub pipeline_context: PipelineContext,
239
240    /// Data context information
241    pub data_context: DataContext,
242
243    /// Environment context information
244    pub environment_context: EnvironmentContext,
245
246    /// Performance context information
247    pub performance_context: PerformanceContext,
248
249    /// Configuration context information
250    pub configuration_context: ConfigurationContext,
251
252    /// Error call stack
253    pub call_stack: Vec<StackFrame>,
254
255    /// Related errors and warnings
256    pub related_issues: Vec<RelatedIssue>,
257}
258
259/// Pipeline execution context
260#[derive(Debug, Clone, Serialize, Deserialize)]
261pub struct PipelineContext {
262    /// Pipeline name
263    pub pipeline_name: String,
264
265    /// Current step
266    pub current_step: String,
267
268    /// Step index in pipeline
269    pub step_index: usize,
270
271    /// Total pipeline steps
272    pub total_steps: usize,
273
274    /// Previous successful steps
275    pub completed_steps: Vec<String>,
276
277    /// Pipeline configuration
278    pub pipeline_config: HashMap<String, String>,
279}
280
281/// Data context information
282#[derive(Debug, Clone, Serialize, Deserialize)]
283pub struct DataContext {
284    /// Input data shape
285    pub input_shape: Vec<usize>,
286
287    /// Input data type
288    pub input_dtype: String,
289
290    /// Expected data shape
291    pub expected_shape: Option<Vec<usize>>,
292
293    /// Expected data type
294    pub expected_dtype: Option<String>,
295
296    /// Data statistics
297    pub data_statistics: DataStatistics,
298
299    /// Missing value information
300    pub missing_values: MissingValueInfo,
301
302    /// Data quality metrics
303    pub quality_metrics: DataQualityMetrics,
304}
305
306/// Missing value information
307#[derive(Debug, Clone, Serialize, Deserialize)]
308pub struct MissingValueInfo {
309    /// Total missing values
310    pub total_missing: usize,
311
312    /// Missing values per feature
313    pub missing_per_feature: Vec<usize>,
314
315    /// Missing value patterns
316    pub missing_patterns: Vec<String>,
317}
318
319/// Data quality metrics
320#[derive(Debug, Clone, Serialize, Deserialize)]
321pub struct DataQualityMetrics {
322    /// Overall quality score (0.0 to 1.0)
323    pub quality_score: f64,
324
325    /// Completeness score
326    pub completeness: f64,
327
328    /// Consistency score
329    pub consistency: f64,
330
331    /// Validity score
332    pub validity: f64,
333
334    /// Specific quality issues
335    pub quality_issues: Vec<QualityIssue>,
336}
337
338/// Data quality issue
339#[derive(Debug, Clone, Serialize, Deserialize)]
340pub struct QualityIssue {
341    /// Issue type
342    pub issue_type: String,
343
344    /// Issue description
345    pub description: String,
346
347    /// Severity level
348    pub severity: SeverityLevel,
349
350    /// Affected features or samples
351    pub affected_elements: Vec<String>,
352}
353
354/// Issue severity levels
355#[derive(Debug, Clone, Serialize, Deserialize)]
356pub enum SeverityLevel {
357    /// Low
358    Low,
359    /// Medium
360    Medium,
361    /// High
362    High,
363    /// Critical
364    Critical,
365}
366
367/// Environment context information
368#[derive(Debug, Clone, Serialize, Deserialize)]
369pub struct EnvironmentContext {
370    /// Operating system information
371    pub os_info: String,
372
373    /// Available memory
374    pub available_memory: u64,
375
376    /// CPU information
377    pub cpu_info: String,
378
379    /// Python/Rust version
380    pub runtime_version: String,
381
382    /// Installed packages and versions
383    pub package_versions: HashMap<String, String>,
384
385    /// Environment variables
386    pub environment_variables: HashMap<String, String>,
387}
388
389/// Performance context information
390#[derive(Debug, Clone, Serialize, Deserialize)]
391pub struct PerformanceContext {
392    /// Memory usage at error time
393    pub memory_usage: u64,
394
395    /// CPU utilization
396    pub cpu_utilization: f64,
397
398    /// Execution time before error
399    pub execution_time: Duration,
400
401    /// Performance bottlenecks
402    pub bottlenecks: Vec<PerformanceBottleneck>,
403}
404
405/// Performance bottleneck information
406#[derive(Debug, Clone, Serialize, Deserialize)]
407pub struct PerformanceBottleneck {
408    /// Bottleneck location
409    pub location: String,
410
411    /// Bottleneck type
412    pub bottleneck_type: String,
413
414    /// Impact level
415    pub impact: f64,
416}
417
418/// Configuration context information
419#[derive(Debug, Clone, Serialize, Deserialize, Default)]
420pub struct ConfigurationContext {
421    /// Model configuration
422    pub model_config: HashMap<String, String>,
423
424    /// Pipeline configuration
425    pub pipeline_config: HashMap<String, String>,
426
427    /// Training configuration
428    pub training_config: HashMap<String, String>,
429
430    /// Configuration validation results
431    pub validation_results: Vec<ConfigValidationResult>,
432}
433
434/// Configuration validation result
435#[derive(Debug, Clone, Serialize, Deserialize)]
436pub struct ConfigValidationResult {
437    /// Configuration key
438    pub config_key: String,
439
440    /// Validation status
441    pub is_valid: bool,
442
443    /// Validation message
444    pub message: String,
445
446    /// Suggested value
447    pub suggested_value: Option<String>,
448}
449
450/// Stack frame information
451#[derive(Debug, Clone, Serialize, Deserialize)]
452pub struct StackFrame {
453    /// Function or method name
454    pub function_name: String,
455
456    /// File name
457    pub file_name: String,
458
459    /// Line number
460    pub line_number: usize,
461
462    /// Module name
463    pub module_name: String,
464}
465
466/// Related issue information
467#[derive(Debug, Clone, Serialize, Deserialize)]
468pub struct RelatedIssue {
469    /// Issue type
470    pub issue_type: String,
471
472    /// Issue message
473    pub message: String,
474
475    /// Relationship to main error
476    pub relationship: IssueRelationship,
477}
478
479/// Relationship between issues
480#[derive(Debug, Clone, Serialize, Deserialize)]
481pub enum IssueRelationship {
482    /// CausedBy
483    CausedBy,
484    /// LeadsTo
485    LeadsTo,
486    /// RelatedTo
487    RelatedTo,
488    /// SimilarTo
489    SimilarTo,
490}
491
492/// Suggestion engine for generating actionable recommendations
493#[derive(Debug)]
494pub struct SuggestionEngine {
495    /// Suggestion generators for different error types
496    generators: HashMap<String, Box<dyn SuggestionGenerator>>,
497
498    /// Learning model for suggestion ranking
499    learning_model: Option<SuggestionRankingModel>,
500
501    /// Suggestion cache for performance
502    suggestion_cache: HashMap<String, Vec<ActionableSuggestion>>,
503
504    /// Configuration
505    config: SuggestionEngineConfig,
506}
507
508/// Actionable suggestion for error resolution
509#[derive(Debug, Clone, Serialize, Deserialize)]
510pub struct ActionableSuggestion {
511    /// Suggestion identifier
512    pub suggestion_id: String,
513
514    /// Suggestion title
515    pub title: String,
516
517    /// Detailed description
518    pub description: String,
519
520    /// Implementation steps
521    pub implementation_steps: Vec<ImplementationStep>,
522
523    /// Code examples
524    pub code_examples: Vec<CodeExample>,
525
526    /// Confidence score (0.0 to 1.0)
527    pub confidence: f64,
528
529    /// Estimated time to implement
530    pub estimated_time: Duration,
531
532    /// Success probability
533    pub success_probability: f64,
534
535    /// Required expertise level
536    pub expertise_level: ExpertiseLevel,
537
538    /// Dependencies or prerequisites
539    pub prerequisites: Vec<String>,
540
541    /// Validation method
542    pub validation_method: Option<String>,
543
544    /// Follow-up suggestions
545    pub follow_up_suggestions: Vec<String>,
546}
547
548/// Implementation step for suggestions
549#[derive(Debug, Clone, Serialize, Deserialize)]
550pub struct ImplementationStep {
551    /// Step number
552    pub step_number: usize,
553
554    /// Step description
555    pub description: String,
556
557    /// Code snippet
558    pub code_snippet: Option<String>,
559
560    /// Command to run
561    pub command: Option<String>,
562
563    /// Expected outcome
564    pub expected_outcome: String,
565
566    /// Validation check
567    pub validation_check: Option<String>,
568}
569
570/// Code example for suggestions
571#[derive(Debug, Clone, Serialize, Deserialize)]
572pub struct CodeExample {
573    /// Programming language
574    pub language: String,
575
576    /// Code snippet
577    pub code: String,
578
579    /// Description
580    pub description: String,
581
582    /// File path (if applicable)
583    pub file_path: Option<String>,
584}
585
586/// Recovery advisor for automated error recovery strategies
587#[derive(Debug)]
588pub struct RecoveryAdvisor {
589    /// Recovery strategies by error type
590    recovery_strategies: HashMap<String, Vec<RecoveryStrategy>>,
591
592    /// Automatic recovery implementations
593    auto_recovery: HashMap<String, Box<dyn AutoRecoveryHandler>>,
594
595    /// Recovery history and success rates
596    recovery_history: VecDeque<RecoveryAttempt>,
597
598    /// Configuration
599    config: RecoveryConfig,
600}
601
602/// Recovery strategy for errors
603#[derive(Debug, Clone, Serialize, Deserialize)]
604pub struct RecoveryStrategy {
605    /// Strategy identifier
606    pub strategy_id: String,
607
608    /// Strategy name
609    pub name: String,
610
611    /// Strategy description
612    pub description: String,
613
614    /// Recovery actions
615    pub actions: Vec<RecoveryAction>,
616
617    /// Automatic or manual recovery
618    pub is_automatic: bool,
619
620    /// Success rate
621    pub success_rate: f64,
622
623    /// Risk level
624    pub risk_level: RiskLevel,
625}
626
627/// Recovery action
628#[derive(Debug, Clone, Serialize, Deserialize)]
629pub struct RecoveryAction {
630    /// Action type
631    pub action_type: RecoveryActionType,
632
633    /// Action description
634    pub description: String,
635
636    /// Parameters for the action
637    pub parameters: HashMap<String, String>,
638
639    /// Rollback action (if applicable)
640    pub rollback_action: Option<String>,
641}
642
643/// Types of recovery actions
644#[derive(Debug, Clone, Serialize, Deserialize)]
645pub enum RecoveryActionType {
646    /// DataTransformation
647    DataTransformation,
648    /// ConfigurationAdjustment
649    ConfigurationAdjustment,
650    /// ModelReset
651    ModelReset,
652    /// ResourceReallocation
653    ResourceReallocation,
654    /// ParameterTuning
655    ParameterTuning,
656    /// FallbackStrategy
657    FallbackStrategy,
658    /// Manual
659    Manual,
660}
661
662/// Risk levels for recovery strategies
663#[derive(Debug, Clone, Serialize, Deserialize)]
664pub enum RiskLevel {
665    /// Safe
666    Safe,
667    /// Low
668    Low,
669    /// Medium
670    Medium,
671    /// High
672    High,
673    /// Dangerous
674    Dangerous,
675}
676
677/// Recovery attempt record
678#[derive(Debug, Clone)]
679pub struct RecoveryAttempt {
680    /// Error that triggered recovery
681    pub error_id: String,
682
683    /// Recovery strategy used
684    pub strategy_id: String,
685
686    /// Recovery actions taken
687    pub actions_taken: Vec<String>,
688
689    /// Recovery outcome
690    pub outcome: RecoveryOutcome,
691
692    /// Time taken for recovery
693    pub recovery_time: Duration,
694
695    /// Timestamp
696    pub timestamp: SystemTime,
697}
698
699/// Recovery attempt outcome
700#[derive(Debug, Clone)]
701pub enum RecoveryOutcome {
702    /// Success
703    Success,
704    /// PartialSuccess
705    PartialSuccess,
706    /// Failure
707    Failure,
708    /// Manual
709    Manual,
710}
711
712/// Error formatter for user-friendly error messages
713#[derive(Debug)]
714pub struct ErrorFormatter {
715    /// Format templates for different error types
716    format_templates: HashMap<String, ErrorTemplate>,
717
718    /// Localization support
719    localization: HashMap<String, HashMap<String, String>>,
720
721    /// Configuration
722    config: FormatterConfig,
723}
724
725/// Error message template
726#[derive(Debug, Clone)]
727pub struct ErrorTemplate {
728    /// Template identifier
729    pub template_id: String,
730
731    /// Main error message template
732    pub message_template: String,
733
734    /// Context sections to include
735    pub context_sections: Vec<ContextSection>,
736
737    /// Suggestion formatting
738    pub suggestion_format: SuggestionFormat,
739
740    /// Output format (text, HTML, markdown)
741    pub output_format: OutputFormat,
742}
743
744/// Context section in error message
745#[derive(Debug, Clone)]
746pub struct ContextSection {
747    /// Section title
748    pub title: String,
749
750    /// Section content template
751    pub content_template: String,
752
753    /// Whether section is optional
754    pub optional: bool,
755}
756
757/// Suggestion formatting options
758#[derive(Debug, Clone)]
759pub struct SuggestionFormat {
760    /// Maximum suggestions to show
761    pub max_suggestions: usize,
762
763    /// Include code examples
764    pub include_code_examples: bool,
765
766    /// Include confidence scores
767    pub include_confidence_scores: bool,
768
769    /// Include time estimates
770    pub include_time_estimates: bool,
771}
772
773/// Output format for error messages
774#[derive(Debug, Clone)]
775pub enum OutputFormat {
776    /// PlainText
777    PlainText,
778    /// Markdown
779    Markdown,
780    /// Html
781    Html,
782    /// Json
783    Json,
784    /// Yaml
785    Yaml,
786}
787
788/// Enhanced error message result
789#[derive(Debug, Clone, Serialize, Deserialize)]
790pub struct EnhancedErrorMessage {
791    /// Original error message
792    pub original_error: String,
793
794    /// Enhanced error message
795    pub enhanced_message: String,
796
797    /// Error classification
798    pub error_classification: ErrorClassification,
799
800    /// Diagnostic information
801    pub diagnostics: EnhancedErrorContext,
802
803    /// Actionable suggestions
804    pub suggestions: Vec<ActionableSuggestion>,
805
806    /// Recovery strategies
807    pub recovery_strategies: Vec<RecoveryStrategy>,
808
809    /// Related documentation
810    pub documentation_links: Vec<DocumentationLink>,
811
812    /// Similar issues
813    pub similar_issues: Vec<SimilarIssue>,
814}
815
816/// Error classification information
817#[derive(Debug, Clone, Serialize, Deserialize)]
818pub struct ErrorClassification {
819    /// Primary error category
820    pub category: ErrorCategory,
821
822    /// Error severity
823    pub severity: SeverityLevel,
824
825    /// Error frequency
826    pub frequency: ErrorFrequency,
827
828    /// Resolution difficulty
829    pub resolution_difficulty: DifficultyLevel,
830}
831
832/// Error categories
833#[derive(Debug, Clone, Serialize, Deserialize)]
834pub enum ErrorCategory {
835    /// DataError
836    DataError,
837    /// ConfigurationError
838    ConfigurationError,
839    /// EnvironmentError
840    EnvironmentError,
841    /// ModelError
842    ModelError,
843    /// PipelineError
844    PipelineError,
845    /// PerformanceError
846    PerformanceError,
847    /// NetworkError
848    NetworkError,
849    /// SecurityError
850    SecurityError,
851    /// Unknown
852    Unknown,
853}
854
855/// Error frequency classification
856#[derive(Debug, Clone, Serialize, Deserialize)]
857pub enum ErrorFrequency {
858    /// Rare
859    Rare,
860    /// Occasional
861    Occasional,
862    /// Common
863    Common,
864    /// Frequent
865    Frequent,
866    /// Constant
867    Constant,
868}
869
870/// Documentation link
871#[derive(Debug, Clone, Serialize, Deserialize)]
872pub struct DocumentationLink {
873    /// Link title
874    pub title: String,
875
876    /// URL
877    pub url: String,
878
879    /// Link description
880    pub description: String,
881
882    /// Relevance score
883    pub relevance: f64,
884}
885
886/// Similar issue information
887#[derive(Debug, Clone, Serialize, Deserialize)]
888pub struct SimilarIssue {
889    /// Issue identifier
890    pub issue_id: String,
891
892    /// Issue description
893    pub description: String,
894
895    /// Similarity score
896    pub similarity: f64,
897
898    /// Resolution information
899    pub resolution: Option<String>,
900}
901
902/// Data statistics for context
903#[derive(Debug, Clone, Serialize, Deserialize)]
904pub struct DataStatistics {
905    /// Number of samples
906    pub n_samples: usize,
907
908    /// Number of features
909    pub n_features: usize,
910
911    /// Mean values per feature
912    pub means: Vec<f64>,
913
914    /// Standard deviations per feature
915    pub stds: Vec<f64>,
916
917    /// Minimum values per feature
918    pub mins: Vec<f64>,
919
920    /// Maximum values per feature
921    pub maxs: Vec<f64>,
922}
923
924// Configuration structures
925#[derive(Debug, Clone)]
926pub struct PatternAnalysisConfig {
927    pub max_patterns: usize,
928    pub pattern_similarity_threshold: f64,
929    pub learning_rate: f64,
930}
931
932#[derive(Debug, Clone)]
933pub struct ContextCollectionConfig {
934    pub enable_detailed_context: bool,
935    pub max_context_size: usize,
936    pub context_timeout: Duration,
937}
938
939#[derive(Debug, Clone)]
940pub struct SuggestionEngineConfig {
941    pub max_suggestions: usize,
942    pub confidence_threshold: f64,
943    pub enable_machine_learning: bool,
944}
945
946#[derive(Debug, Clone)]
947pub struct RecoveryConfig {
948    pub enable_auto_recovery: bool,
949    pub max_recovery_attempts: usize,
950    pub recovery_timeout: Duration,
951}
952
953#[derive(Debug, Clone)]
954pub struct FormatterConfig {
955    pub default_language: String,
956    pub include_technical_details: bool,
957    pub max_message_length: usize,
958}
959
960/// Trait for context providers
961pub trait ContextProvider: std::fmt::Debug + Send + Sync {
962    fn collect_context(&self, error: &SklearsComposeError) -> Result<HashMap<String, String>>;
963    fn context_type(&self) -> ContextType;
964}
965
966/// Trait for suggestion generators
967pub trait SuggestionGenerator: std::fmt::Debug + Send + Sync {
968    fn generate_suggestions(
969        &self,
970        error: &SklearsComposeError,
971        context: &EnhancedErrorContext,
972    ) -> Result<Vec<ActionableSuggestion>>;
973    fn error_types(&self) -> Vec<String>;
974}
975
976/// Trait for automatic recovery handlers
977pub trait AutoRecoveryHandler: std::fmt::Debug + Send + Sync {
978    fn can_recover(&self, error: &SklearsComposeError) -> bool;
979    fn attempt_recovery(
980        &self,
981        error: &SklearsComposeError,
982        context: &EnhancedErrorContext,
983    ) -> Result<RecoveryOutcome>;
984}
985
986/// Machine learning model for suggestion ranking
987#[derive(Debug)]
988pub struct SuggestionRankingModel {
989    /// Feature weights for ranking
990    feature_weights: HashMap<String, f64>,
991
992    /// Historical success rates
993    success_rates: HashMap<String, f64>,
994
995    /// Model parameters
996    parameters: ModelParameters,
997}
998
999#[derive(Debug, Clone)]
1000pub struct ModelParameters {
1001    pub learning_rate: f64,
1002    pub regularization: f64,
1003    pub feature_count: usize,
1004}
1005
1006impl Default for ErrorEnhancementConfig {
1007    fn default() -> Self {
1008        Self {
1009            enable_pattern_analysis: true,
1010            enable_context_collection: true,
1011            enable_auto_suggestions: true,
1012            enable_recovery_strategies: true,
1013            max_suggestions_per_error: 5,
1014            suggestion_confidence_threshold: 0.7,
1015            enable_learning: true,
1016            error_history_size: 1000,
1017            enable_detailed_diagnostics: true,
1018        }
1019    }
1020}
1021
1022impl Default for ErrorMessageEnhancer {
1023    fn default() -> Self {
1024        Self::new()
1025    }
1026}
1027
1028impl ErrorMessageEnhancer {
1029    /// Create a new error message enhancer with default configuration
1030    #[must_use]
1031    pub fn new() -> Self {
1032        Self::with_config(ErrorEnhancementConfig::default())
1033    }
1034
1035    /// Create a new error message enhancer with custom configuration
1036    #[must_use]
1037    pub fn with_config(config: ErrorEnhancementConfig) -> Self {
1038        let pattern_config = PatternAnalysisConfig {
1039            max_patterns: 500,
1040            pattern_similarity_threshold: 0.8,
1041            learning_rate: 0.01,
1042        };
1043
1044        let context_config = ContextCollectionConfig {
1045            enable_detailed_context: config.enable_detailed_diagnostics,
1046            max_context_size: 10_000,
1047            context_timeout: Duration::from_secs(5),
1048        };
1049
1050        let suggestion_config = SuggestionEngineConfig {
1051            max_suggestions: config.max_suggestions_per_error,
1052            confidence_threshold: config.suggestion_confidence_threshold,
1053            enable_machine_learning: config.enable_learning,
1054        };
1055
1056        let recovery_config = RecoveryConfig {
1057            enable_auto_recovery: config.enable_recovery_strategies,
1058            max_recovery_attempts: 3,
1059            recovery_timeout: Duration::from_secs(30),
1060        };
1061
1062        let formatter_config = FormatterConfig {
1063            default_language: "en".to_string(),
1064            include_technical_details: config.enable_detailed_diagnostics,
1065            max_message_length: 5000,
1066        };
1067
1068        Self {
1069            pattern_analyzer: Arc::new(RwLock::new(ErrorPatternAnalyzer::new(pattern_config))),
1070            context_collector: Arc::new(RwLock::new(ErrorContextCollector::new(context_config))),
1071            suggestion_engine: Arc::new(RwLock::new(SuggestionEngine::new(suggestion_config))),
1072            recovery_advisor: Arc::new(RwLock::new(RecoveryAdvisor::new(recovery_config))),
1073            error_formatter: Arc::new(RwLock::new(ErrorFormatter::new(formatter_config))),
1074            config,
1075        }
1076    }
1077
1078    /// Enhance an error with comprehensive diagnostics and suggestions
1079    pub fn enhance_error(&self, error: &SklearsComposeError) -> Result<EnhancedErrorMessage> {
1080        // Collect comprehensive context
1081        let context = if self.config.enable_context_collection {
1082            self.context_collector
1083                .write()
1084                .unwrap()
1085                .collect_context(error)?
1086        } else {
1087            EnhancedErrorContext::default()
1088        };
1089
1090        // Analyze error patterns
1091        let classification = if self.config.enable_pattern_analysis {
1092            self.pattern_analyzer
1093                .write()
1094                .unwrap()
1095                .analyze_error(error, &context)?
1096        } else {
1097            ErrorClassification::default()
1098        };
1099
1100        // Generate actionable suggestions
1101        let suggestions = if self.config.enable_auto_suggestions {
1102            self.suggestion_engine
1103                .read()
1104                .unwrap()
1105                .generate_suggestions(error, &context)?
1106        } else {
1107            Vec::new()
1108        };
1109
1110        // Generate recovery strategies
1111        let recovery_strategies = if self.config.enable_recovery_strategies {
1112            self.recovery_advisor
1113                .read()
1114                .unwrap()
1115                .generate_recovery_strategies(error, &context)?
1116        } else {
1117            Vec::new()
1118        };
1119
1120        // Format enhanced error message
1121        let enhanced_message =
1122            self.error_formatter
1123                .read()
1124                .unwrap()
1125                .format_error(error, &context, &suggestions)?;
1126
1127        // Generate documentation links
1128        let documentation_links = self.generate_documentation_links(error, &classification)?;
1129
1130        // Find similar issues
1131        let similar_issues = self.find_similar_issues(error, &context)?;
1132
1133        Ok(EnhancedErrorMessage {
1134            original_error: error.to_string(),
1135            enhanced_message,
1136            error_classification: classification,
1137            diagnostics: context,
1138            suggestions,
1139            recovery_strategies,
1140            documentation_links,
1141            similar_issues,
1142        })
1143    }
1144
1145    /// Attempt automatic error recovery
1146    pub fn attempt_recovery(&self, error: &SklearsComposeError) -> Result<RecoveryOutcome> {
1147        let context = self
1148            .context_collector
1149            .write()
1150            .unwrap()
1151            .collect_context(error)?;
1152        self.recovery_advisor
1153            .write()
1154            .unwrap()
1155            .attempt_auto_recovery(error, &context)
1156    }
1157
1158    /// Learn from error resolution outcomes
1159    pub fn learn_from_resolution(
1160        &self,
1161        error: &SklearsComposeError,
1162        suggestion_id: &str,
1163        outcome: bool,
1164    ) -> Result<()> {
1165        if self.config.enable_learning {
1166            self.pattern_analyzer
1167                .write()
1168                .unwrap()
1169                .update_success_rate(suggestion_id, outcome)?;
1170            self.suggestion_engine
1171                .write()
1172                .unwrap()
1173                .update_ranking_model(suggestion_id, outcome)?;
1174        }
1175        Ok(())
1176    }
1177
1178    /// Export error enhancement statistics
1179    pub fn export_statistics(&self) -> Result<ErrorEnhancementStatistics> {
1180        let pattern_stats = self.pattern_analyzer.read().unwrap().get_statistics();
1181        let suggestion_stats = self.suggestion_engine.read().unwrap().get_statistics();
1182        let recovery_stats = self.recovery_advisor.read().unwrap().get_statistics();
1183
1184        Ok(ErrorEnhancementStatistics {
1185            total_errors_analyzed: pattern_stats.total_patterns,
1186            suggestions_generated: suggestion_stats.total_suggestions,
1187            recovery_attempts: recovery_stats.total_attempts,
1188            success_rate: recovery_stats.success_rate,
1189            pattern_accuracy: pattern_stats.accuracy,
1190            suggestion_confidence: suggestion_stats.average_confidence,
1191        })
1192    }
1193
1194    // Private helper methods
1195    fn generate_documentation_links(
1196        &self,
1197        error: &SklearsComposeError,
1198        classification: &ErrorClassification,
1199    ) -> Result<Vec<DocumentationLink>> {
1200        let mut links = Vec::new();
1201
1202        // Generate links based on error type and classification
1203        match classification.category {
1204            ErrorCategory::DataError => {
1205                links.push(DocumentationLink {
1206                    title: "Data Input Guidelines".to_string(),
1207                    url: "https://docs.rs/sklears-compose/data-input".to_string(),
1208                    description: "Guide for proper data formatting and validation".to_string(),
1209                    relevance: 0.9,
1210                });
1211            }
1212            ErrorCategory::ConfigurationError => {
1213                links.push(DocumentationLink {
1214                    title: "Configuration Reference".to_string(),
1215                    url: "https://docs.rs/sklears-compose/configuration".to_string(),
1216                    description: "Complete reference for configuration options".to_string(),
1217                    relevance: 0.95,
1218                });
1219            }
1220            _ => {}
1221        }
1222
1223        Ok(links)
1224    }
1225
1226    fn find_similar_issues(
1227        &self,
1228        error: &SklearsComposeError,
1229        context: &EnhancedErrorContext,
1230    ) -> Result<Vec<SimilarIssue>> {
1231        // This would typically search a database of known issues
1232        // For now, returning empty vector
1233        Ok(Vec::new())
1234    }
1235}
1236
1237/// Error enhancement statistics
1238#[derive(Debug, Clone, Serialize, Deserialize)]
1239pub struct ErrorEnhancementStatistics {
1240    pub total_errors_analyzed: usize,
1241    pub suggestions_generated: usize,
1242    pub recovery_attempts: usize,
1243    pub success_rate: f64,
1244    pub pattern_accuracy: f64,
1245    pub suggestion_confidence: f64,
1246}
1247
1248// Implementation blocks for supporting components
1249
1250impl ErrorPatternAnalyzer {
1251    fn new(config: PatternAnalysisConfig) -> Self {
1252        Self {
1253            error_patterns: HashMap::new(),
1254            error_frequency: HashMap::new(),
1255            resolution_success: HashMap::new(),
1256            config,
1257        }
1258    }
1259
1260    fn analyze_error(
1261        &mut self,
1262        error: &SklearsComposeError,
1263        context: &EnhancedErrorContext,
1264    ) -> Result<ErrorClassification> {
1265        let error_type = format!("{error:?}");
1266
1267        // Update frequency tracking
1268        *self.error_frequency.entry(error_type.clone()).or_insert(0) += 1;
1269
1270        // Classify error based on patterns
1271        let category = self.classify_error_category(error);
1272        let severity = self.assess_severity(error, context);
1273        let frequency = self.assess_frequency(&error_type);
1274        let resolution_difficulty = self.assess_resolution_difficulty(error);
1275
1276        Ok(ErrorClassification {
1277            category,
1278            severity,
1279            frequency,
1280            resolution_difficulty,
1281        })
1282    }
1283
1284    fn classify_error_category(&self, error: &SklearsComposeError) -> ErrorCategory {
1285        match error {
1286            SklearsComposeError::InvalidData { .. } => ErrorCategory::DataError,
1287            SklearsComposeError::InvalidConfiguration(_) => ErrorCategory::ConfigurationError,
1288            SklearsComposeError::InvalidOperation(_) => ErrorCategory::PipelineError,
1289            SklearsComposeError::Serialization(_) | SklearsComposeError::Io(_) => {
1290                ErrorCategory::EnvironmentError
1291            }
1292            SklearsComposeError::Core(_) => ErrorCategory::ModelError,
1293            SklearsComposeError::Other(reason) => {
1294                let lower = reason.to_lowercase();
1295                if lower.contains("shape") || lower.contains("dimension") {
1296                    ErrorCategory::DataError
1297                } else if lower.contains("config") || lower.contains("parameter") {
1298                    ErrorCategory::ConfigurationError
1299                } else if lower.contains("memory") || lower.contains("resource") {
1300                    ErrorCategory::EnvironmentError
1301                } else if lower.contains("model") || lower.contains("fit") {
1302                    ErrorCategory::ModelError
1303                } else if lower.contains("pipeline") {
1304                    ErrorCategory::PipelineError
1305                } else {
1306                    ErrorCategory::Unknown
1307                }
1308            }
1309        }
1310    }
1311
1312    fn assess_severity(
1313        &self,
1314        error: &SklearsComposeError,
1315        context: &EnhancedErrorContext,
1316    ) -> SeverityLevel {
1317        // Simple heuristic - would be more sophisticated in practice
1318        if context.performance_context.memory_usage > 1_000_000_000 {
1319            SeverityLevel::High
1320        } else {
1321            SeverityLevel::Medium
1322        }
1323    }
1324
1325    fn assess_frequency(&self, error_type: &str) -> ErrorFrequency {
1326        let count = self.error_frequency.get(error_type).unwrap_or(&0);
1327        match count {
1328            0..=1 => ErrorFrequency::Rare,
1329            2..=5 => ErrorFrequency::Occasional,
1330            6..=15 => ErrorFrequency::Common,
1331            16..=50 => ErrorFrequency::Frequent,
1332            _ => ErrorFrequency::Constant,
1333        }
1334    }
1335
1336    fn assess_resolution_difficulty(&self, error: &SklearsComposeError) -> DifficultyLevel {
1337        // Simple heuristic based on error type
1338        let error_str = error.to_string().to_lowercase();
1339
1340        if error_str.contains("simple") || error_str.contains("basic") {
1341            DifficultyLevel::Easy
1342        } else if error_str.contains("complex") || error_str.contains("advanced") {
1343            DifficultyLevel::Hard
1344        } else {
1345            DifficultyLevel::Medium
1346        }
1347    }
1348
1349    fn update_success_rate(&mut self, suggestion_id: &str, success: bool) -> Result<()> {
1350        let current_rate = self.resolution_success.get(suggestion_id).unwrap_or(&0.5);
1351        let new_rate = if success {
1352            (current_rate + 0.1).min(1.0)
1353        } else {
1354            (current_rate - 0.1).max(0.0)
1355        };
1356        self.resolution_success
1357            .insert(suggestion_id.to_string(), new_rate);
1358        Ok(())
1359    }
1360
1361    fn get_statistics(&self) -> PatternStatistics {
1362        /// PatternStatistics
1363        PatternStatistics {
1364            total_patterns: self.error_patterns.len(),
1365            accuracy: 0.85, // Would be calculated based on historical data
1366        }
1367    }
1368}
1369
1370#[derive(Debug)]
1371struct PatternStatistics {
1372    total_patterns: usize,
1373    accuracy: f64,
1374}
1375
1376impl ErrorContextCollector {
1377    fn new(config: ContextCollectionConfig) -> Self {
1378        let mut context_providers: HashMap<ContextType, Box<dyn ContextProvider>> = HashMap::new();
1379
1380        // Add default context providers
1381        context_providers.insert(
1382            ContextType::Environment,
1383            Box::new(EnvironmentContextProvider::new()),
1384        );
1385        context_providers.insert(
1386            ContextType::Performance,
1387            Box::new(PerformanceContextProvider::new()),
1388        );
1389
1390        Self {
1391            context_providers,
1392            context_cache: HashMap::new(),
1393            config,
1394        }
1395    }
1396
1397    fn collect_context(&mut self, error: &SklearsComposeError) -> Result<EnhancedErrorContext> {
1398        // Create default context
1399        let context = EnhancedErrorContext {
1400            timestamp: SystemTime::now(),
1401            pipeline_context: PipelineContext::default(),
1402            data_context: DataContext::default(),
1403            environment_context: EnvironmentContext::default(),
1404            performance_context: PerformanceContext::default(),
1405            configuration_context: ConfigurationContext::default(),
1406            call_stack: Vec::new(),
1407            related_issues: Vec::new(),
1408        };
1409
1410        // Collect additional context from providers
1411        for (context_type, provider) in &self.context_providers {
1412            if let Ok(additional_context) = provider.collect_context(error) {
1413                // Merge additional context - implementation would be more sophisticated
1414            }
1415        }
1416
1417        Ok(context)
1418    }
1419}
1420
1421impl SuggestionEngine {
1422    fn new(config: SuggestionEngineConfig) -> Self {
1423        let mut generators: HashMap<String, Box<dyn SuggestionGenerator>> = HashMap::new();
1424
1425        // Add default suggestion generators
1426        generators.insert(
1427            "DataError".to_string(),
1428            Box::new(DataErrorSuggestionGenerator::new()),
1429        );
1430        generators.insert(
1431            "ConfigurationError".to_string(),
1432            Box::new(ConfigurationErrorSuggestionGenerator::new()),
1433        );
1434
1435        Self {
1436            generators,
1437            learning_model: None,
1438            suggestion_cache: HashMap::new(),
1439            config,
1440        }
1441    }
1442
1443    fn generate_suggestions(
1444        &self,
1445        error: &SklearsComposeError,
1446        context: &EnhancedErrorContext,
1447    ) -> Result<Vec<ActionableSuggestion>> {
1448        let error_type = format!("{error:?}");
1449
1450        let mut suggestions = Vec::new();
1451
1452        // Generate suggestions from relevant generators
1453        for (generator_type, generator) in &self.generators {
1454            if error_type.contains(generator_type) {
1455                if let Ok(mut generated) = generator.generate_suggestions(error, context) {
1456                    suggestions.append(&mut generated);
1457                }
1458            }
1459        }
1460
1461        // Filter by confidence threshold
1462        suggestions.retain(|s| s.confidence >= self.config.confidence_threshold);
1463
1464        // Limit number of suggestions
1465        suggestions.truncate(self.config.max_suggestions);
1466
1467        Ok(suggestions)
1468    }
1469
1470    fn update_ranking_model(&mut self, suggestion_id: &str, success: bool) -> Result<()> {
1471        // Update machine learning model for suggestion ranking
1472        // Implementation would involve updating model weights
1473        Ok(())
1474    }
1475
1476    fn get_statistics(&self) -> SuggestionStatistics {
1477        /// SuggestionStatistics
1478        SuggestionStatistics {
1479            total_suggestions: self.suggestion_cache.len(),
1480            average_confidence: 0.8, // Would be calculated
1481        }
1482    }
1483}
1484
1485#[derive(Debug)]
1486struct SuggestionStatistics {
1487    total_suggestions: usize,
1488    average_confidence: f64,
1489}
1490
1491impl RecoveryAdvisor {
1492    fn new(config: RecoveryConfig) -> Self {
1493        Self {
1494            recovery_strategies: HashMap::new(),
1495            auto_recovery: HashMap::new(),
1496            recovery_history: VecDeque::with_capacity(1000),
1497            config,
1498        }
1499    }
1500
1501    fn generate_recovery_strategies(
1502        &self,
1503        error: &SklearsComposeError,
1504        context: &EnhancedErrorContext,
1505    ) -> Result<Vec<RecoveryStrategy>> {
1506        let error_type = format!("{error:?}");
1507
1508        if let Some(strategies) = self.recovery_strategies.get(&error_type) {
1509            Ok(strategies.clone())
1510        } else {
1511            // Generate default recovery strategies
1512            Ok(vec![RecoveryStrategy {
1513                strategy_id: "manual_review".to_string(),
1514                name: "Manual Review".to_string(),
1515                description: "Manually review the error and fix the underlying issue".to_string(),
1516                actions: vec![RecoveryAction {
1517                    action_type: RecoveryActionType::Manual,
1518                    description: "Review error message and fix the issue".to_string(),
1519                    parameters: HashMap::new(),
1520                    rollback_action: None,
1521                }],
1522                is_automatic: false,
1523                success_rate: 0.9,
1524                risk_level: RiskLevel::Safe,
1525            }])
1526        }
1527    }
1528
1529    fn attempt_auto_recovery(
1530        &mut self,
1531        error: &SklearsComposeError,
1532        context: &EnhancedErrorContext,
1533    ) -> Result<RecoveryOutcome> {
1534        if !self.config.enable_auto_recovery {
1535            return Ok(RecoveryOutcome::Manual);
1536        }
1537
1538        let error_type = format!("{error:?}");
1539
1540        if let Some(handler) = self.auto_recovery.get(&error_type) {
1541            if handler.can_recover(error) {
1542                let start_time = Instant::now();
1543                let outcome = handler.attempt_recovery(error, context)?;
1544
1545                // Record recovery attempt
1546                let attempt = RecoveryAttempt {
1547                    error_id: format!(
1548                        "err_{}",
1549                        SystemTime::now()
1550                            .duration_since(UNIX_EPOCH)
1551                            .unwrap()
1552                            .as_millis()
1553                    ),
1554                    strategy_id: "auto_recovery".to_string(),
1555                    actions_taken: vec!["automatic_recovery".to_string()],
1556                    outcome: outcome.clone(),
1557                    recovery_time: start_time.elapsed(),
1558                    timestamp: SystemTime::now(),
1559                };
1560
1561                self.recovery_history.push_back(attempt);
1562                if self.recovery_history.len() > 1000 {
1563                    self.recovery_history.pop_front();
1564                }
1565
1566                return Ok(outcome);
1567            }
1568        }
1569
1570        Ok(RecoveryOutcome::Manual)
1571    }
1572
1573    fn get_statistics(&self) -> RecoveryStatistics {
1574        let total_attempts = self.recovery_history.len();
1575        let successful_attempts = self
1576            .recovery_history
1577            .iter()
1578            .filter(|attempt| matches!(attempt.outcome, RecoveryOutcome::Success))
1579            .count();
1580
1581        let success_rate = if total_attempts > 0 {
1582            successful_attempts as f64 / total_attempts as f64
1583        } else {
1584            0.0
1585        };
1586
1587        /// RecoveryStatistics
1588        RecoveryStatistics {
1589            total_attempts,
1590            success_rate,
1591        }
1592    }
1593}
1594
1595#[derive(Debug)]
1596struct RecoveryStatistics {
1597    total_attempts: usize,
1598    success_rate: f64,
1599}
1600
1601impl ErrorFormatter {
1602    fn new(config: FormatterConfig) -> Self {
1603        let mut format_templates = HashMap::new();
1604
1605        // Add default templates
1606        format_templates.insert("default".to_string(), ErrorTemplate::default());
1607
1608        Self {
1609            format_templates,
1610            localization: HashMap::new(),
1611            config,
1612        }
1613    }
1614
1615    fn format_error(
1616        &self,
1617        error: &SklearsComposeError,
1618        context: &EnhancedErrorContext,
1619        suggestions: &[ActionableSuggestion],
1620    ) -> Result<String> {
1621        let template = self.format_templates.get("default").unwrap();
1622
1623        let mut formatted = format!("ERROR: {error}\n\n");
1624
1625        // Add context information
1626        formatted.push_str("CONTEXT:\n");
1627        formatted.push_str(&format!(
1628            "  Pipeline: {}\n",
1629            context.pipeline_context.pipeline_name
1630        ));
1631        formatted.push_str(&format!(
1632            "  Step: {}\n",
1633            context.pipeline_context.current_step
1634        ));
1635        formatted.push_str(&format!(
1636            "  Data Shape: {:?}\n",
1637            context.data_context.input_shape
1638        ));
1639        formatted.push('\n');
1640
1641        // Add suggestions
1642        if !suggestions.is_empty() {
1643            formatted.push_str("SUGGESTIONS:\n");
1644            for (i, suggestion) in suggestions.iter().enumerate() {
1645                formatted.push_str(&format!(
1646                    "{}. {} (confidence: {:.1}%)\n",
1647                    i + 1,
1648                    suggestion.title,
1649                    suggestion.confidence * 100.0
1650                ));
1651                formatted.push_str(&format!("   {}\n", suggestion.description));
1652            }
1653        }
1654
1655        Ok(formatted)
1656    }
1657}
1658
1659// Default implementations
1660
1661impl Default for EnhancedErrorContext {
1662    fn default() -> Self {
1663        Self {
1664            timestamp: SystemTime::now(),
1665            pipeline_context: PipelineContext::default(),
1666            data_context: DataContext::default(),
1667            environment_context: EnvironmentContext::default(),
1668            performance_context: PerformanceContext::default(),
1669            configuration_context: ConfigurationContext::default(),
1670            call_stack: Vec::new(),
1671            related_issues: Vec::new(),
1672        }
1673    }
1674}
1675
1676impl Default for PipelineContext {
1677    fn default() -> Self {
1678        Self {
1679            pipeline_name: "unknown".to_string(),
1680            current_step: "unknown".to_string(),
1681            step_index: 0,
1682            total_steps: 0,
1683            completed_steps: Vec::new(),
1684            pipeline_config: HashMap::new(),
1685        }
1686    }
1687}
1688
1689impl Default for DataContext {
1690    fn default() -> Self {
1691        Self {
1692            input_shape: Vec::new(),
1693            input_dtype: "unknown".to_string(),
1694            expected_shape: None,
1695            expected_dtype: None,
1696            data_statistics: DataStatistics {
1697                n_samples: 0,
1698                n_features: 0,
1699                means: Vec::new(),
1700                stds: Vec::new(),
1701                mins: Vec::new(),
1702                maxs: Vec::new(),
1703            },
1704            missing_values: MissingValueInfo {
1705                total_missing: 0,
1706                missing_per_feature: Vec::new(),
1707                missing_patterns: Vec::new(),
1708            },
1709            quality_metrics: DataQualityMetrics {
1710                quality_score: 0.0,
1711                completeness: 0.0,
1712                consistency: 0.0,
1713                validity: 0.0,
1714                quality_issues: Vec::new(),
1715            },
1716        }
1717    }
1718}
1719
1720impl Default for EnvironmentContext {
1721    fn default() -> Self {
1722        Self {
1723            os_info: "unknown".to_string(),
1724            available_memory: 0,
1725            cpu_info: "unknown".to_string(),
1726            runtime_version: "unknown".to_string(),
1727            package_versions: HashMap::new(),
1728            environment_variables: HashMap::new(),
1729        }
1730    }
1731}
1732
1733impl Default for PerformanceContext {
1734    fn default() -> Self {
1735        Self {
1736            memory_usage: 0,
1737            cpu_utilization: 0.0,
1738            execution_time: Duration::from_secs(0),
1739            bottlenecks: Vec::new(),
1740        }
1741    }
1742}
1743
1744impl Default for ErrorClassification {
1745    fn default() -> Self {
1746        Self {
1747            category: ErrorCategory::Unknown,
1748            severity: SeverityLevel::Medium,
1749            frequency: ErrorFrequency::Occasional,
1750            resolution_difficulty: DifficultyLevel::Medium,
1751        }
1752    }
1753}
1754
1755impl Default for ErrorTemplate {
1756    fn default() -> Self {
1757        Self {
1758            template_id: "default".to_string(),
1759            message_template: "{error}\n\nContext: {context}\n\nSuggestions: {suggestions}"
1760                .to_string(),
1761            context_sections: Vec::new(),
1762            suggestion_format: SuggestionFormat {
1763                max_suggestions: 5,
1764                include_code_examples: true,
1765                include_confidence_scores: true,
1766                include_time_estimates: false,
1767            },
1768            output_format: OutputFormat::PlainText,
1769        }
1770    }
1771}
1772
1773// Example context providers
1774
1775#[derive(Debug)]
1776struct EnvironmentContextProvider;
1777
1778impl EnvironmentContextProvider {
1779    fn new() -> Self {
1780        Self
1781    }
1782}
1783
1784impl ContextProvider for EnvironmentContextProvider {
1785    fn collect_context(&self, _error: &SklearsComposeError) -> Result<HashMap<String, String>> {
1786        let mut context = HashMap::new();
1787        context.insert("os".to_string(), std::env::consts::OS.to_string());
1788        context.insert("arch".to_string(), std::env::consts::ARCH.to_string());
1789        Ok(context)
1790    }
1791
1792    fn context_type(&self) -> ContextType {
1793        ContextType::Environment
1794    }
1795}
1796
1797#[derive(Debug)]
1798struct PerformanceContextProvider;
1799
1800impl PerformanceContextProvider {
1801    fn new() -> Self {
1802        Self
1803    }
1804}
1805
1806impl ContextProvider for PerformanceContextProvider {
1807    fn collect_context(&self, _error: &SklearsComposeError) -> Result<HashMap<String, String>> {
1808        let mut context = HashMap::new();
1809        // Would collect actual performance metrics
1810        context.insert("memory_usage".to_string(), "unknown".to_string());
1811        Ok(context)
1812    }
1813
1814    fn context_type(&self) -> ContextType {
1815        ContextType::Performance
1816    }
1817}
1818
1819// Example suggestion generators
1820
1821#[derive(Debug)]
1822struct DataErrorSuggestionGenerator;
1823
1824impl DataErrorSuggestionGenerator {
1825    fn new() -> Self {
1826        Self
1827    }
1828}
1829
1830impl SuggestionGenerator for DataErrorSuggestionGenerator {
1831    fn generate_suggestions(
1832        &self,
1833        error: &SklearsComposeError,
1834        context: &EnhancedErrorContext,
1835    ) -> Result<Vec<ActionableSuggestion>> {
1836        let mut suggestions = Vec::new();
1837
1838        let error_str = error.to_string().to_lowercase();
1839
1840        if error_str.contains("shape") {
1841            suggestions.push(ActionableSuggestion {
1842                suggestion_id: "fix_data_shape".to_string(),
1843                title: "Fix Data Shape Mismatch".to_string(),
1844                description: "The input data shape doesn't match the expected shape. Check your data preprocessing steps.".to_string(),
1845                implementation_steps: vec![
1846                    /// ImplementationStep
1847                    ImplementationStep {
1848                        step_number: 1,
1849                        description: "Check the shape of your input data".to_string(),
1850                        code_snippet: Some("println!(\"Data shape: {:?}\", data.shape());".to_string()),
1851                        command: None,
1852                        expected_outcome: "Display the actual data shape".to_string(),
1853                        validation_check: None,
1854                    }
1855                ],
1856                code_examples: vec![
1857                    /// CodeExample
1858                    CodeExample {
1859                        language: "rust".to_string(),
1860                        code: "let data = data.into_shape((n_samples, n_features))?;".to_string(),
1861                        description: "Reshape data to correct dimensions".to_string(),
1862                        file_path: None,
1863                    }
1864                ],
1865                confidence: 0.9,
1866                estimated_time: <Duration as DurationExt>::from_mins(5),
1867                success_probability: 0.85,
1868                expertise_level: ExpertiseLevel::Beginner,
1869                prerequisites: Vec::new(),
1870                validation_method: Some("Check that data.shape() matches expected shape".to_string()),
1871                follow_up_suggestions: Vec::new(),
1872            });
1873        }
1874
1875        Ok(suggestions)
1876    }
1877
1878    fn error_types(&self) -> Vec<String> {
1879        vec!["DataError".to_string()]
1880    }
1881}
1882
1883#[derive(Debug)]
1884struct ConfigurationErrorSuggestionGenerator;
1885
1886impl ConfigurationErrorSuggestionGenerator {
1887    fn new() -> Self {
1888        Self
1889    }
1890}
1891
1892impl SuggestionGenerator for ConfigurationErrorSuggestionGenerator {
1893    fn generate_suggestions(
1894        &self,
1895        error: &SklearsComposeError,
1896        _context: &EnhancedErrorContext,
1897    ) -> Result<Vec<ActionableSuggestion>> {
1898        let mut suggestions = Vec::new();
1899
1900        suggestions.push(ActionableSuggestion {
1901            suggestion_id: "check_configuration".to_string(),
1902            title: "Review Configuration Settings".to_string(),
1903            description: "Check your configuration parameters for correct values and types."
1904                .to_string(),
1905            implementation_steps: vec![ImplementationStep {
1906                step_number: 1,
1907                description: "Review configuration documentation".to_string(),
1908                code_snippet: None,
1909                command: None,
1910                expected_outcome: "Understanding of correct configuration format".to_string(),
1911                validation_check: None,
1912            }],
1913            code_examples: Vec::new(),
1914            confidence: 0.7,
1915            estimated_time: <Duration as DurationExt>::from_mins(10),
1916            success_probability: 0.8,
1917            expertise_level: ExpertiseLevel::Intermediate,
1918            prerequisites: Vec::new(),
1919            validation_method: None,
1920            follow_up_suggestions: Vec::new(),
1921        });
1922
1923        Ok(suggestions)
1924    }
1925
1926    fn error_types(&self) -> Vec<String> {
1927        vec!["ConfigurationError".to_string()]
1928    }
1929}
1930
1931// Extension trait for Duration
1932trait DurationExt {
1933    fn from_mins(minutes: u64) -> Duration;
1934}
1935
1936impl DurationExt for Duration {
1937    fn from_mins(minutes: u64) -> Duration {
1938        Duration::from_secs(minutes * 60)
1939    }
1940}
1941
1942#[allow(non_snake_case)]
1943#[cfg(test)]
1944mod tests {
1945    use super::*;
1946
1947    #[test]
1948    fn test_error_enhancer_creation() {
1949        let enhancer = ErrorMessageEnhancer::new();
1950        assert!(enhancer.config.enable_pattern_analysis);
1951    }
1952
1953    #[test]
1954    fn test_error_enhancement() {
1955        let enhancer = ErrorMessageEnhancer::new();
1956        let error = SklearsComposeError::InvalidConfiguration("Test error".to_string());
1957
1958        let result = enhancer.enhance_error(&error);
1959        assert!(result.is_ok());
1960
1961        let enhanced = result.unwrap();
1962        assert!(!enhanced.enhanced_message.is_empty());
1963        assert!(!enhanced.original_error.is_empty());
1964    }
1965
1966    #[test]
1967    fn test_context_collection() {
1968        let config = ContextCollectionConfig {
1969            enable_detailed_context: true,
1970            max_context_size: 1000,
1971            context_timeout: Duration::from_secs(1),
1972        };
1973
1974        let mut collector = ErrorContextCollector::new(config);
1975        let error = SklearsComposeError::InvalidConfiguration("Test".to_string());
1976
1977        let result = collector.collect_context(&error);
1978        assert!(result.is_ok());
1979    }
1980
1981    #[test]
1982    fn test_suggestion_generation() {
1983        let config = SuggestionEngineConfig {
1984            max_suggestions: 3,
1985            confidence_threshold: 0.5,
1986            enable_machine_learning: false,
1987        };
1988
1989        let engine = SuggestionEngine::new(config);
1990        let error = SklearsComposeError::InvalidData {
1991            reason: "shape mismatch".to_string(),
1992        };
1993        let context = EnhancedErrorContext::default();
1994
1995        let result = engine.generate_suggestions(&error, &context);
1996        assert!(result.is_ok());
1997    }
1998
1999    #[test]
2000    fn test_error_classification() {
2001        let config = PatternAnalysisConfig {
2002            max_patterns: 100,
2003            pattern_similarity_threshold: 0.8,
2004            learning_rate: 0.01,
2005        };
2006
2007        let mut analyzer = ErrorPatternAnalyzer::new(config);
2008        let error = SklearsComposeError::InvalidData {
2009            reason: "test".to_string(),
2010        };
2011        let context = EnhancedErrorContext::default();
2012
2013        let result = analyzer.analyze_error(&error, &context);
2014        assert!(result.is_ok());
2015
2016        let classification = result.unwrap();
2017        assert!(matches!(classification.category, ErrorCategory::DataError));
2018    }
2019
2020    #[test]
2021    fn test_recovery_strategies() {
2022        let config = RecoveryConfig {
2023            enable_auto_recovery: true,
2024            max_recovery_attempts: 3,
2025            recovery_timeout: Duration::from_secs(10),
2026        };
2027
2028        let advisor = RecoveryAdvisor::new(config);
2029        let error = SklearsComposeError::InvalidConfiguration("test".to_string());
2030        let context = EnhancedErrorContext::default();
2031
2032        let result = advisor.generate_recovery_strategies(&error, &context);
2033        assert!(result.is_ok());
2034
2035        let strategies = result.unwrap();
2036        assert!(!strategies.is_empty());
2037    }
2038
2039    #[test]
2040    fn test_error_formatting() {
2041        let config = FormatterConfig {
2042            default_language: "en".to_string(),
2043            include_technical_details: true,
2044            max_message_length: 1000,
2045        };
2046
2047        let formatter = ErrorFormatter::new(config);
2048        let error = SklearsComposeError::InvalidConfiguration("test error".to_string());
2049        let context = EnhancedErrorContext::default();
2050        let suggestions = Vec::new();
2051
2052        let result = formatter.format_error(&error, &context, &suggestions);
2053        assert!(result.is_ok());
2054
2055        let formatted = result.unwrap();
2056        assert!(formatted.contains("ERROR:"));
2057        assert!(formatted.contains("test error"));
2058    }
2059
2060    #[test]
2061    fn test_learning_from_resolution() {
2062        let enhancer = ErrorMessageEnhancer::new();
2063        let error = SklearsComposeError::InvalidConfiguration("test".to_string());
2064
2065        let result = enhancer.learn_from_resolution(&error, "test_suggestion", true);
2066        assert!(result.is_ok());
2067    }
2068
2069    #[test]
2070    fn test_statistics_export() {
2071        let enhancer = ErrorMessageEnhancer::new();
2072        let result = enhancer.export_statistics();
2073        assert!(result.is_ok());
2074
2075        let stats = result.unwrap();
2076        assert!(stats.success_rate >= 0.0 && stats.success_rate <= 1.0);
2077    }
2078
2079    #[test]
2080    fn test_context_providers() {
2081        let provider = EnvironmentContextProvider::new();
2082        let error = SklearsComposeError::InvalidConfiguration("test".to_string());
2083
2084        let result = provider.collect_context(&error);
2085        assert!(result.is_ok());
2086
2087        let context = result.unwrap();
2088        assert!(context.contains_key("os"));
2089        assert_eq!(provider.context_type(), ContextType::Environment);
2090    }
2091
2092    #[test]
2093    fn test_suggestion_generators() {
2094        let generator = DataErrorSuggestionGenerator::new();
2095        let error = SklearsComposeError::InvalidData {
2096            reason: "shape mismatch".to_string(),
2097        };
2098        let context = EnhancedErrorContext::default();
2099
2100        let result = generator.generate_suggestions(&error, &context);
2101        assert!(result.is_ok());
2102
2103        let suggestions = result.unwrap();
2104        assert!(!suggestions.is_empty());
2105        assert_eq!(generator.error_types(), vec!["DataError".to_string()]);
2106    }
2107}
sklears_compose/enhanced_error_messages.rs

sklears_compose/
enhanced_error_messages.rs
