sklears_core/
api_analyzers.rs

1//! API Analysis Engines and Validation Components
2//!
3//! This module contains the core analysis engines used by the API reference generator
4//! to extract, analyze, and validate Rust code structures. It includes trait analyzers,
5//! type extractors, example validators, and cross-reference builders.
6
7use crate::api_data_structures::{
8    ApiReference, ApiVisualization, ApiVisualizationData, AssociatedType, CodeExample, CrateInfo,
9    FieldInfo, MethodInfo, ParameterInfo, TraitInfo, TypeInfo, TypeKind, Visibility,
10    VisualizationConfig, VisualizationNode, VisualizationType,
11};
12use crate::api_generator_config::GeneratorConfig;
13use crate::error::{Result, SklearsError};
14use serde::{Deserialize, Serialize};
15use std::collections::HashMap;
16
17// ================================================================================================
18// TRAIT ANALYSIS ENGINE
19// ================================================================================================
20
21/// Trait analyzer for extracting trait information from Rust code
22#[derive(Debug, Clone)]
23pub struct TraitAnalyzer {
24    config: GeneratorConfig,
25    trait_cache: HashMap<String, TraitInfo>,
26    hierarchy_depth: usize,
27}
28
29impl TraitAnalyzer {
30    /// Create a new trait analyzer with the given configuration
31    pub fn new(config: GeneratorConfig) -> Self {
32        Self {
33            config,
34            trait_cache: HashMap::new(),
35            hierarchy_depth: 0,
36        }
37    }
38
39    /// Analyze traits from crate information
40    pub fn analyze_traits(&mut self, _crate_info: &CrateInfo) -> Result<Vec<TraitInfo>> {
41        // Clear cache for fresh analysis
42        self.trait_cache.clear();
43        self.hierarchy_depth = 0;
44
45        // In a real implementation, this would use syn to parse and analyze traits
46        // For now, return example data based on sklears-core traits
47        let traits = vec![
48            self.create_estimator_trait()?,
49            self.create_fit_trait()?,
50            self.create_predict_trait()?,
51            self.create_transform_trait()?,
52            self.create_score_trait()?,
53        ];
54
55        // Cache the analyzed traits
56        for trait_info in &traits {
57            self.trait_cache
58                .insert(trait_info.name.clone(), trait_info.clone());
59        }
60
61        // Build trait hierarchies if enabled
62        if self.config.include_cross_refs {
63            self.build_trait_hierarchies(&traits)
64        } else {
65            Ok(traits)
66        }
67    }
68
69    /// Analyze a specific trait by name
70    pub fn analyze_trait(&mut self, trait_name: &str) -> Result<Option<TraitInfo>> {
71        // Check cache first
72        if let Some(cached) = self.trait_cache.get(trait_name) {
73            return Ok(Some(cached.clone()));
74        }
75
76        // In a real implementation, this would parse the trait from source
77        match trait_name {
78            "Estimator" => Ok(Some(self.create_estimator_trait()?)),
79            "Fit" => Ok(Some(self.create_fit_trait()?)),
80            "Predict" => Ok(Some(self.create_predict_trait()?)),
81            "Transform" => Ok(Some(self.create_transform_trait()?)),
82            "Score" => Ok(Some(self.create_score_trait()?)),
83            _ => Ok(None),
84        }
85    }
86
87    /// Get all cached trait information
88    pub fn get_cached_traits(&self) -> &HashMap<String, TraitInfo> {
89        &self.trait_cache
90    }
91
92    /// Clear the trait cache
93    pub fn clear_cache(&mut self) {
94        self.trait_cache.clear();
95    }
96
97    /// Validate trait hierarchy depth
98    pub fn validate_hierarchy_depth(&self, depth: usize) -> Result<()> {
99        if depth > self.config.max_hierarchy_depth {
100            return Err(SklearsError::InvalidInput(format!(
101                "Trait hierarchy depth {} exceeds maximum allowed depth of {}",
102                depth, self.config.max_hierarchy_depth
103            )));
104        }
105        Ok(())
106    }
107
108    /// Build trait hierarchies and relationships
109    fn build_trait_hierarchies(&mut self, traits: &[TraitInfo]) -> Result<Vec<TraitInfo>> {
110        let mut enhanced_traits = traits.to_vec();
111
112        // Build supertrait relationships
113        for trait_info in &mut enhanced_traits {
114            trait_info.supertraits = self.find_supertraits(&trait_info.name)?;
115            trait_info.implementations = self.find_implementations(&trait_info.name)?;
116        }
117
118        Ok(enhanced_traits)
119    }
120
121    /// Find supertraits for a given trait
122    fn find_supertraits(&self, trait_name: &str) -> Result<Vec<String>> {
123        // In a real implementation, this would analyze trait bounds
124        match trait_name {
125            "Fit" => Ok(vec!["Estimator".to_string()]),
126            "Predict" => Ok(vec!["Estimator".to_string()]),
127            "Transform" => Ok(vec!["Estimator".to_string()]),
128            "Score" => Ok(vec!["Predict".to_string()]),
129            _ => Ok(Vec::new()),
130        }
131    }
132
133    /// Find implementations for a given trait
134    fn find_implementations(&self, trait_name: &str) -> Result<Vec<String>> {
135        // In a real implementation, this would scan for impl blocks
136        match trait_name {
137            "Estimator" => Ok(vec![
138                "LinearRegression".to_string(),
139                "LogisticRegression".to_string(),
140                "RandomForest".to_string(),
141                "SVM".to_string(),
142            ]),
143            "Fit" => Ok(vec![
144                "LinearRegression".to_string(),
145                "LogisticRegression".to_string(),
146                "RandomForest".to_string(),
147            ]),
148            "Predict" => Ok(vec![
149                "LinearRegression".to_string(),
150                "LogisticRegression".to_string(),
151                "RandomForest".to_string(),
152            ]),
153            "Transform" => Ok(vec![
154                "StandardScaler".to_string(),
155                "PCA".to_string(),
156                "MinMaxScaler".to_string(),
157            ]),
158            "Score" => Ok(vec![
159                "LinearRegression".to_string(),
160                "LogisticRegression".to_string(),
161            ]),
162            _ => Ok(Vec::new()),
163        }
164    }
165
166    /// Create Estimator trait information
167    fn create_estimator_trait(&self) -> Result<TraitInfo> {
168        Ok(TraitInfo {
169            name: "Estimator".to_string(),
170            description: "Base trait for all machine learning estimators in sklears".to_string(),
171            path: "sklears_core::traits::Estimator".to_string(),
172            generics: Vec::new(),
173            associated_types: vec![AssociatedType {
174                name: "Config".to_string(),
175                description: "Configuration type for the estimator".to_string(),
176                bounds: vec!["Clone".to_string(), "Debug".to_string()],
177            }],
178            methods: vec![
179                MethodInfo {
180                    name: "name".to_string(),
181                    signature: "fn name(&self) -> &'static str".to_string(),
182                    description: "Get the name of the estimator".to_string(),
183                    parameters: Vec::new(),
184                    return_type: "&'static str".to_string(),
185                    required: true,
186                },
187                MethodInfo {
188                    name: "default_config".to_string(),
189                    signature: "fn default_config() -> Self::Config".to_string(),
190                    description: "Get the default configuration for this estimator".to_string(),
191                    parameters: Vec::new(),
192                    return_type: "Self::Config".to_string(),
193                    required: false,
194                },
195            ],
196            supertraits: Vec::new(),
197            implementations: Vec::new(),
198        })
199    }
200
201    /// Create Fit trait information
202    fn create_fit_trait(&self) -> Result<TraitInfo> {
203        Ok(TraitInfo {
204            name: "Fit".to_string(),
205            description: "Trait for estimators that can be fitted to training data".to_string(),
206            path: "sklears_core::traits::Fit".to_string(),
207            generics: vec!["X".to_string(), "Y".to_string()],
208            associated_types: vec![AssociatedType {
209                name: "Fitted".to_string(),
210                description: "The type returned after fitting".to_string(),
211                bounds: vec!["Send".to_string(), "Sync".to_string()],
212            }],
213            methods: vec![MethodInfo {
214                name: "fit".to_string(),
215                signature: "fn fit(self, x: &X, y: &Y) -> Result<Self::Fitted>".to_string(),
216                description: "Fit the estimator to training data".to_string(),
217                parameters: vec![
218                    ParameterInfo {
219                        name: "x".to_string(),
220                        param_type: "&X".to_string(),
221                        description: "Training features matrix".to_string(),
222                        optional: false,
223                    },
224                    ParameterInfo {
225                        name: "y".to_string(),
226                        param_type: "&Y".to_string(),
227                        description: "Training targets vector".to_string(),
228                        optional: false,
229                    },
230                ],
231                return_type: "Result<Self::Fitted>".to_string(),
232                required: true,
233            }],
234            supertraits: Vec::new(),
235            implementations: Vec::new(),
236        })
237    }
238
239    /// Create Predict trait information
240    fn create_predict_trait(&self) -> Result<TraitInfo> {
241        Ok(TraitInfo {
242            name: "Predict".to_string(),
243            description: "Trait for estimators that can make predictions".to_string(),
244            path: "sklears_core::traits::Predict".to_string(),
245            generics: vec!["X".to_string()],
246            associated_types: vec![AssociatedType {
247                name: "Output".to_string(),
248                description: "The type of prediction output".to_string(),
249                bounds: vec!["Clone".to_string()],
250            }],
251            methods: vec![MethodInfo {
252                name: "predict".to_string(),
253                signature: "fn predict(&self, x: &X) -> Result<Self::Output>".to_string(),
254                description: "Make predictions on new data".to_string(),
255                parameters: vec![ParameterInfo {
256                    name: "x".to_string(),
257                    param_type: "&X".to_string(),
258                    description: "Input features to predict on".to_string(),
259                    optional: false,
260                }],
261                return_type: "Result<Self::Output>".to_string(),
262                required: true,
263            }],
264            supertraits: Vec::new(),
265            implementations: Vec::new(),
266        })
267    }
268
269    /// Create Transform trait information
270    fn create_transform_trait(&self) -> Result<TraitInfo> {
271        Ok(TraitInfo {
272            name: "Transform".to_string(),
273            description: "Trait for estimators that can transform data".to_string(),
274            path: "sklears_core::traits::Transform".to_string(),
275            generics: vec!["X".to_string()],
276            associated_types: vec![AssociatedType {
277                name: "Output".to_string(),
278                description: "The type of transformed output".to_string(),
279                bounds: vec!["Clone".to_string()],
280            }],
281            methods: vec![
282                MethodInfo {
283                    name: "transform".to_string(),
284                    signature: "fn transform(&self, x: &X) -> Result<Self::Output>".to_string(),
285                    description: "Transform input data".to_string(),
286                    parameters: vec![ParameterInfo {
287                        name: "x".to_string(),
288                        param_type: "&X".to_string(),
289                        description: "Input data to transform".to_string(),
290                        optional: false,
291                    }],
292                    return_type: "Result<Self::Output>".to_string(),
293                    required: true,
294                },
295                MethodInfo {
296                    name: "fit_transform".to_string(),
297                    signature:
298                        "fn fit_transform(self, x: &X) -> Result<(Self::Fitted, Self::Output)>"
299                            .to_string(),
300                    description: "Fit the transformer and transform data in one step".to_string(),
301                    parameters: vec![ParameterInfo {
302                        name: "x".to_string(),
303                        param_type: "&X".to_string(),
304                        description: "Input data to fit and transform".to_string(),
305                        optional: false,
306                    }],
307                    return_type: "Result<(Self::Fitted, Self::Output)>".to_string(),
308                    required: false,
309                },
310            ],
311            supertraits: Vec::new(),
312            implementations: Vec::new(),
313        })
314    }
315
316    /// Create Score trait information
317    fn create_score_trait(&self) -> Result<TraitInfo> {
318        Ok(TraitInfo {
319            name: "Score".to_string(),
320            description: "Trait for estimators that can compute accuracy scores".to_string(),
321            path: "sklears_core::traits::Score".to_string(),
322            generics: vec!["X".to_string(), "Y".to_string()],
323            associated_types: vec![AssociatedType {
324                name: "Score".to_string(),
325                description: "The type of score output".to_string(),
326                bounds: vec!["PartialOrd".to_string(), "Copy".to_string()],
327            }],
328            methods: vec![MethodInfo {
329                name: "score".to_string(),
330                signature: "fn score(&self, x: &X, y: &Y) -> Result<Self::Score>".to_string(),
331                description: "Compute accuracy score on test data".to_string(),
332                parameters: vec![
333                    ParameterInfo {
334                        name: "x".to_string(),
335                        param_type: "&X".to_string(),
336                        description: "Test features".to_string(),
337                        optional: false,
338                    },
339                    ParameterInfo {
340                        name: "y".to_string(),
341                        param_type: "&Y".to_string(),
342                        description: "True test targets".to_string(),
343                        optional: false,
344                    },
345                ],
346                return_type: "Result<Self::Score>".to_string(),
347                required: true,
348            }],
349            supertraits: Vec::new(),
350            implementations: Vec::new(),
351        })
352    }
353}
354
355impl Default for TraitAnalyzer {
356    fn default() -> Self {
357        Self::new(GeneratorConfig::default())
358    }
359}
360
361// ================================================================================================
362// TYPE EXTRACTION ENGINE
363// ================================================================================================
364
365/// Type extractor for analyzing type definitions from Rust code
366#[derive(Debug, Clone)]
367pub struct TypeExtractor {
368    #[allow(dead_code)]
369    config: GeneratorConfig,
370    type_cache: HashMap<String, TypeInfo>,
371    generic_constraints: HashMap<String, Vec<String>>,
372}
373
374impl TypeExtractor {
375    /// Create a new type extractor with the given configuration
376    pub fn new(config: GeneratorConfig) -> Self {
377        Self {
378            config,
379            type_cache: HashMap::new(),
380            generic_constraints: HashMap::new(),
381        }
382    }
383
384    /// Extract types from crate information
385    pub fn extract_types(&mut self, _crate_info: &CrateInfo) -> Result<Vec<TypeInfo>> {
386        // Clear cache for fresh extraction
387        self.type_cache.clear();
388
389        // In a real implementation, this would use syn to parse and analyze types
390        let types = vec![
391            self.create_sklears_error_type()?,
392            self.create_estimator_config_type()?,
393            self.create_matrix_type()?,
394            self.create_array_type()?,
395            self.create_model_type()?,
396        ];
397
398        // Cache the extracted types
399        for type_info in &types {
400            self.type_cache
401                .insert(type_info.name.clone(), type_info.clone());
402        }
403
404        Ok(types)
405    }
406
407    /// Extract a specific type by name
408    pub fn extract_type(&mut self, type_name: &str) -> Result<Option<TypeInfo>> {
409        // Check cache first
410        if let Some(cached) = self.type_cache.get(type_name) {
411            return Ok(Some(cached.clone()));
412        }
413
414        // In a real implementation, this would parse the type from source
415        match type_name {
416            "SklearsError" => Ok(Some(self.create_sklears_error_type()?)),
417            "EstimatorConfig" => Ok(Some(self.create_estimator_config_type()?)),
418            "Matrix" => Ok(Some(self.create_matrix_type()?)),
419            "Array" => Ok(Some(self.create_array_type()?)),
420            "Model" => Ok(Some(self.create_model_type()?)),
421            _ => Ok(None),
422        }
423    }
424
425    /// Get all cached type information
426    pub fn get_cached_types(&self) -> &HashMap<String, TypeInfo> {
427        &self.type_cache
428    }
429
430    /// Analyze generic constraints for a type
431    pub fn analyze_generic_constraints(&mut self, type_name: &str) -> Result<Vec<String>> {
432        if let Some(constraints) = self.generic_constraints.get(type_name) {
433            return Ok(constraints.clone());
434        }
435
436        // In a real implementation, this would parse trait bounds
437        let constraints = match type_name {
438            "Matrix" => vec!["Clone".to_string(), "Debug".to_string(), "Send".to_string()],
439            "Array" => vec!["Clone".to_string(), "Debug".to_string()],
440            "Model" => vec![
441                "Clone".to_string(),
442                "Debug".to_string(),
443                "Serialize".to_string(),
444                "Deserialize".to_string(),
445            ],
446            _ => Vec::new(),
447        };
448
449        self.generic_constraints
450            .insert(type_name.to_string(), constraints.clone());
451        Ok(constraints)
452    }
453
454    /// Create SklearsError type information
455    fn create_sklears_error_type(&self) -> Result<TypeInfo> {
456        Ok(TypeInfo {
457            name: "SklearsError".to_string(),
458            description: "Error types for sklears operations".to_string(),
459            path: "sklears_core::error::SklearsError".to_string(),
460            kind: TypeKind::Enum,
461            generics: Vec::new(),
462            fields: vec![
463                FieldInfo {
464                    name: "InvalidInput".to_string(),
465                    field_type: "String".to_string(),
466                    description: "Invalid input parameter provided".to_string(),
467                    visibility: Visibility::Public,
468                },
469                FieldInfo {
470                    name: "ComputationError".to_string(),
471                    field_type: "String".to_string(),
472                    description: "Computation or numerical error occurred".to_string(),
473                    visibility: Visibility::Public,
474                },
475                FieldInfo {
476                    name: "ConfigurationError".to_string(),
477                    field_type: "String".to_string(),
478                    description: "Invalid configuration provided".to_string(),
479                    visibility: Visibility::Public,
480                },
481                FieldInfo {
482                    name: "DataError".to_string(),
483                    field_type: "String".to_string(),
484                    description: "Data format or quality issue".to_string(),
485                    visibility: Visibility::Public,
486                },
487            ],
488            trait_impls: vec![
489                "Debug".to_string(),
490                "Display".to_string(),
491                "Error".to_string(),
492                "Clone".to_string(),
493            ],
494        })
495    }
496
497    /// Create EstimatorConfig type information
498    fn create_estimator_config_type(&self) -> Result<TypeInfo> {
499        Ok(TypeInfo {
500            name: "EstimatorConfig".to_string(),
501            description: "Base configuration for all estimators".to_string(),
502            path: "sklears_core::config::EstimatorConfig".to_string(),
503            kind: TypeKind::Struct,
504            generics: Vec::new(),
505            fields: vec![
506                FieldInfo {
507                    name: "random_state".to_string(),
508                    field_type: "Option<u64>".to_string(),
509                    description: "Random seed for reproducible results".to_string(),
510                    visibility: Visibility::Public,
511                },
512                FieldInfo {
513                    name: "verbose".to_string(),
514                    field_type: "bool".to_string(),
515                    description: "Enable verbose output during training".to_string(),
516                    visibility: Visibility::Public,
517                },
518                FieldInfo {
519                    name: "max_iterations".to_string(),
520                    field_type: "usize".to_string(),
521                    description: "Maximum number of training iterations".to_string(),
522                    visibility: Visibility::Public,
523                },
524            ],
525            trait_impls: vec![
526                "Debug".to_string(),
527                "Clone".to_string(),
528                "Default".to_string(),
529                "Serialize".to_string(),
530                "Deserialize".to_string(),
531            ],
532        })
533    }
534
535    /// Create Matrix type information
536    fn create_matrix_type(&self) -> Result<TypeInfo> {
537        Ok(TypeInfo {
538            name: "Matrix".to_string(),
539            description: "Generic matrix type for numerical computations".to_string(),
540            path: "sklears_core::linalg::Matrix".to_string(),
541            kind: TypeKind::Struct,
542            generics: vec!["T".to_string()],
543            fields: vec![
544                FieldInfo {
545                    name: "data".to_string(),
546                    field_type: "Vec<T>".to_string(),
547                    description: "Flattened matrix data in row-major order".to_string(),
548                    visibility: Visibility::Private,
549                },
550                FieldInfo {
551                    name: "rows".to_string(),
552                    field_type: "usize".to_string(),
553                    description: "Number of rows in the matrix".to_string(),
554                    visibility: Visibility::Public,
555                },
556                FieldInfo {
557                    name: "cols".to_string(),
558                    field_type: "usize".to_string(),
559                    description: "Number of columns in the matrix".to_string(),
560                    visibility: Visibility::Public,
561                },
562            ],
563            trait_impls: vec![
564                "Debug".to_string(),
565                "Clone".to_string(),
566                "Index".to_string(),
567                "IndexMut".to_string(),
568            ],
569        })
570    }
571
572    /// Create Array type information
573    fn create_array_type(&self) -> Result<TypeInfo> {
574        Ok(TypeInfo {
575            name: "Array".to_string(),
576            description: "Multi-dimensional array type".to_string(),
577            path: "sklears_core::array::Array".to_string(),
578            kind: TypeKind::Struct,
579            generics: vec!["T".to_string(), "const N: usize".to_string()],
580            fields: vec![
581                FieldInfo {
582                    name: "data".to_string(),
583                    field_type: "Vec<T>".to_string(),
584                    description: "Array data storage".to_string(),
585                    visibility: Visibility::Private,
586                },
587                FieldInfo {
588                    name: "shape".to_string(),
589                    field_type: "[usize; N]".to_string(),
590                    description: "Shape of the array in each dimension".to_string(),
591                    visibility: Visibility::Public,
592                },
593            ],
594            trait_impls: vec![
595                "Debug".to_string(),
596                "Clone".to_string(),
597                "Index".to_string(),
598                "IntoIterator".to_string(),
599            ],
600        })
601    }
602
603    /// Create Model type information
604    fn create_model_type(&self) -> Result<TypeInfo> {
605        Ok(TypeInfo {
606            name: "Model".to_string(),
607            description: "Trained model container".to_string(),
608            path: "sklears_core::model::Model".to_string(),
609            kind: TypeKind::Struct,
610            generics: vec!["E".to_string()],
611            fields: vec![
612                FieldInfo {
613                    name: "estimator".to_string(),
614                    field_type: "E".to_string(),
615                    description: "The trained estimator".to_string(),
616                    visibility: Visibility::Private,
617                },
618                FieldInfo {
619                    name: "metadata".to_string(),
620                    field_type: "ModelMetadata".to_string(),
621                    description: "Model training metadata".to_string(),
622                    visibility: Visibility::Public,
623                },
624                FieldInfo {
625                    name: "metrics".to_string(),
626                    field_type: "HashMap<String, f64>".to_string(),
627                    description: "Training and validation metrics".to_string(),
628                    visibility: Visibility::Public,
629                },
630            ],
631            trait_impls: vec![
632                "Debug".to_string(),
633                "Clone".to_string(),
634                "Serialize".to_string(),
635                "Deserialize".to_string(),
636            ],
637        })
638    }
639}
640
641impl Default for TypeExtractor {
642    fn default() -> Self {
643        Self::new(GeneratorConfig::default())
644    }
645}
646
647// ================================================================================================
648// EXAMPLE VALIDATION ENGINE
649// ================================================================================================
650
651/// Example validator for checking and validating code examples
652#[derive(Debug, Clone)]
653pub struct ExampleValidator {
654    validation_rules: Vec<ValidationRule>,
655    #[allow(dead_code)]
656    compile_timeout_secs: u64,
657    enable_compilation: bool,
658    enable_execution: bool,
659}
660
661impl ExampleValidator {
662    /// Create a new example validator
663    pub fn new() -> Self {
664        Self {
665            validation_rules: vec![
666                ValidationRule::SyntaxCheck,
667                ValidationRule::ImportCheck,
668                ValidationRule::TypeCheck,
669                ValidationRule::SafetyCheck,
670            ],
671            compile_timeout_secs: 30,
672            enable_compilation: false, // Disabled by default for performance
673            enable_execution: false,   // Disabled by default for security
674        }
675    }
676
677    /// Create a new validator with custom configuration
678    pub fn with_config(
679        enable_compilation: bool,
680        enable_execution: bool,
681        timeout_secs: u64,
682    ) -> Self {
683        Self {
684            validation_rules: vec![
685                ValidationRule::SyntaxCheck,
686                ValidationRule::ImportCheck,
687                ValidationRule::TypeCheck,
688                ValidationRule::SafetyCheck,
689            ],
690            compile_timeout_secs: timeout_secs,
691            enable_compilation,
692            enable_execution,
693        }
694    }
695
696    /// Validate a collection of code examples
697    pub fn validate_examples(&self, examples: &[CodeExample]) -> Result<Vec<CodeExample>> {
698        let mut validated_examples = Vec::new();
699
700        for example in examples {
701            match self.validate_example(example) {
702                Ok(validated) => validated_examples.push(validated),
703                Err(e) => {
704                    // Log the error but continue with other examples
705                    eprintln!(
706                        "Warning: Failed to validate example '{}': {}",
707                        example.title, e
708                    );
709                    validated_examples.push(example.clone());
710                }
711            }
712        }
713
714        Ok(validated_examples)
715    }
716
717    /// Validate a single code example
718    pub fn validate_example(&self, example: &CodeExample) -> Result<CodeExample> {
719        let mut validated = example.clone();
720
721        // Apply validation rules
722        for rule in &self.validation_rules {
723            self.apply_validation_rule(rule, &mut validated)?;
724        }
725
726        // Perform compilation check if enabled
727        if self.enable_compilation && example.runnable {
728            self.compile_check(&validated)?;
729        }
730
731        // Perform execution check if enabled
732        if self.enable_execution && example.runnable {
733            self.execution_check(&validated)?;
734        }
735
736        Ok(validated)
737    }
738
739    /// Apply a specific validation rule
740    fn apply_validation_rule(
741        &self,
742        rule: &ValidationRule,
743        example: &mut CodeExample,
744    ) -> Result<()> {
745        match rule {
746            ValidationRule::SyntaxCheck => self.check_syntax(example),
747            ValidationRule::ImportCheck => self.check_imports(example),
748            ValidationRule::TypeCheck => self.check_types(example),
749            ValidationRule::SafetyCheck => self.check_safety(example),
750        }
751    }
752
753    /// Check syntax validity
754    fn check_syntax(&self, example: &CodeExample) -> Result<()> {
755        // Basic syntax checks
756        if example.code.trim().is_empty() {
757            return Err(SklearsError::InvalidInput(
758                "Example code cannot be empty".to_string(),
759            ));
760        }
761
762        // Check for balanced braces
763        let open_braces = example.code.matches('{').count();
764        let close_braces = example.code.matches('}').count();
765        if open_braces != close_braces {
766            return Err(SklearsError::InvalidInput(
767                "Unbalanced braces in example code".to_string(),
768            ));
769        }
770
771        // Check for balanced parentheses
772        let open_parens = example.code.matches('(').count();
773        let close_parens = example.code.matches(')').count();
774        if open_parens != close_parens {
775            return Err(SklearsError::InvalidInput(
776                "Unbalanced parentheses in example code".to_string(),
777            ));
778        }
779
780        Ok(())
781    }
782
783    /// Check import statements
784    fn check_imports(&self, example: &CodeExample) -> Result<()> {
785        let lines: Vec<&str> = example.code.lines().collect();
786
787        for line in lines {
788            let trimmed = line.trim();
789            if trimmed.starts_with("use ") {
790                // Check for valid sklears imports
791                if trimmed.contains("sklears_") && !self.is_valid_sklears_import(trimmed) {
792                    return Err(SklearsError::InvalidInput(format!(
793                        "Invalid sklears import: {}",
794                        trimmed
795                    )));
796                }
797            }
798        }
799
800        Ok(())
801    }
802
803    /// Check for type correctness
804    fn check_types(&self, _example: &CodeExample) -> Result<()> {
805        // In a real implementation, this would use rust-analyzer or syn
806        // to perform type checking. For now, we just return Ok.
807        Ok(())
808    }
809
810    /// Check for unsafe code patterns
811    fn check_safety(&self, example: &CodeExample) -> Result<()> {
812        // Check for unsafe blocks
813        if example.code.contains("unsafe") {
814            return Err(SklearsError::InvalidInput(
815                "Unsafe code blocks are not allowed in examples".to_string(),
816            ));
817        }
818
819        // Check for potentially dangerous operations
820        let dangerous_patterns = [
821            "std::process::Command",
822            "std::fs::remove",
823            "std::ptr::",
824            "libc::",
825            "transmute",
826        ];
827
828        for pattern in &dangerous_patterns {
829            if example.code.contains(pattern) {
830                return Err(SklearsError::InvalidInput(format!(
831                    "Potentially dangerous pattern '{}' found in example",
832                    pattern
833                )));
834            }
835        }
836
837        Ok(())
838    }
839
840    /// Check if a sklears import is valid
841    fn is_valid_sklears_import(&self, import: &str) -> bool {
842        let valid_modules = [
843            "sklears_core",
844            "sklears_linear",
845            "sklears_tree",
846            "sklears_ensemble",
847            "sklears_preprocessing",
848            "sklears_metrics",
849            "sklears_neighbors",
850            "sklears_clustering",
851            "sklears_datasets",
852        ];
853
854        valid_modules.iter().any(|module| import.contains(module))
855    }
856
857    /// Perform compilation check
858    fn compile_check(&self, _example: &CodeExample) -> Result<()> {
859        // In a real implementation, this would:
860        // 1. Create a temporary Rust project
861        // 2. Write the example code to a file
862        // 3. Run cargo check with a timeout
863        // 4. Parse the output for errors
864        // For now, we just return Ok
865        Ok(())
866    }
867
868    /// Perform execution check
869    fn execution_check(&self, _example: &CodeExample) -> Result<()> {
870        // In a real implementation, this would:
871        // 1. Compile the example
872        // 2. Run it in a sandboxed environment
873        // 3. Capture output and verify it matches expected results
874        // For now, we just return Ok
875        Ok(())
876    }
877
878    /// Set validation rules
879    pub fn set_validation_rules(&mut self, rules: Vec<ValidationRule>) {
880        self.validation_rules = rules;
881    }
882
883    /// Enable or disable compilation checking
884    pub fn set_compilation_enabled(&mut self, enabled: bool) {
885        self.enable_compilation = enabled;
886    }
887
888    /// Enable or disable execution checking
889    pub fn set_execution_enabled(&mut self, enabled: bool) {
890        self.enable_execution = enabled;
891    }
892}
893
894impl Default for ExampleValidator {
895    fn default() -> Self {
896        Self::new()
897    }
898}
899
900/// Validation rules for code examples
901#[derive(Debug, Clone, PartialEq, Eq)]
902pub enum ValidationRule {
903    /// Check syntax validity
904    SyntaxCheck,
905    /// Check import statements
906    ImportCheck,
907    /// Check type correctness
908    TypeCheck,
909    /// Check for unsafe patterns
910    SafetyCheck,
911}
912
913// ================================================================================================
914// CROSS-REFERENCE BUILDER
915// ================================================================================================
916
917/// Cross-reference builder for linking API elements
918#[derive(Debug, Clone)]
919pub struct CrossReferenceBuilder {
920    reference_cache: HashMap<String, Vec<String>>,
921    bidirectional_refs: bool,
922    max_depth: usize,
923}
924
925impl CrossReferenceBuilder {
926    /// Create a new cross-reference builder
927    pub fn new() -> Self {
928        Self {
929            reference_cache: HashMap::new(),
930            bidirectional_refs: true,
931            max_depth: 3,
932        }
933    }
934
935    /// Create a cross-reference builder with custom configuration
936    pub fn with_config(bidirectional_refs: bool, max_depth: usize) -> Self {
937        Self {
938            reference_cache: HashMap::new(),
939            bidirectional_refs,
940            max_depth,
941        }
942    }
943
944    /// Build cross-references between traits and types
945    pub fn build_cross_references(
946        &mut self,
947        traits: &[TraitInfo],
948        types: &[TypeInfo],
949    ) -> Result<HashMap<String, Vec<String>>> {
950        let mut refs = HashMap::new();
951
952        // Build references from traits to their implementations
953        for trait_info in traits {
954            let mut trait_refs = trait_info.implementations.clone();
955
956            // Add related traits (supertraits and subtraits)
957            trait_refs.extend(trait_info.supertraits.clone());
958            trait_refs.extend(self.find_related_traits(trait_info, traits)?);
959
960            refs.insert(trait_info.name.clone(), trait_refs);
961        }
962
963        // Build references from types to traits they implement
964        for type_info in types {
965            let mut type_refs = type_info.trait_impls.clone();
966
967            // Add related types
968            type_refs.extend(self.find_related_types(type_info, types)?);
969
970            refs.insert(type_info.name.clone(), type_refs);
971        }
972
973        // Build bidirectional references if enabled
974        if self.bidirectional_refs {
975            refs = self.add_bidirectional_references(refs)?;
976        }
977
978        // Cache the results
979        self.reference_cache = refs.clone();
980
981        Ok(refs)
982    }
983
984    /// Find traits related to a given trait
985    fn find_related_traits(
986        &self,
987        trait_info: &TraitInfo,
988        all_traits: &[TraitInfo],
989    ) -> Result<Vec<String>> {
990        let mut related = Vec::new();
991
992        for other_trait in all_traits {
993            if other_trait.name == trait_info.name {
994                continue;
995            }
996
997            // Check if traits share common methods
998            let common_methods = self.count_common_methods(trait_info, other_trait);
999            if common_methods > 0 {
1000                related.push(other_trait.name.clone());
1001            }
1002
1003            // Check if one trait is a supertrait of the other
1004            if other_trait.supertraits.contains(&trait_info.name) {
1005                related.push(other_trait.name.clone());
1006            }
1007        }
1008
1009        Ok(related)
1010    }
1011
1012    /// Find types related to a given type
1013    fn find_related_types(
1014        &self,
1015        type_info: &TypeInfo,
1016        all_types: &[TypeInfo],
1017    ) -> Result<Vec<String>> {
1018        let mut related = Vec::new();
1019
1020        for other_type in all_types {
1021            if other_type.name == type_info.name {
1022                continue;
1023            }
1024
1025            // Check if types implement common traits
1026            let common_traits = self.count_common_trait_impls(type_info, other_type);
1027            if common_traits > 0 {
1028                related.push(other_type.name.clone());
1029            }
1030
1031            // Check if types have similar field structure
1032            if self.have_similar_structure(type_info, other_type) {
1033                related.push(other_type.name.clone());
1034            }
1035        }
1036
1037        Ok(related)
1038    }
1039
1040    /// Count common methods between two traits
1041    fn count_common_methods(&self, trait1: &TraitInfo, trait2: &TraitInfo) -> usize {
1042        let trait1_methods: std::collections::HashSet<_> =
1043            trait1.methods.iter().map(|m| &m.name).collect();
1044        let trait2_methods: std::collections::HashSet<_> =
1045            trait2.methods.iter().map(|m| &m.name).collect();
1046
1047        trait1_methods.intersection(&trait2_methods).count()
1048    }
1049
1050    /// Count common trait implementations between two types
1051    fn count_common_trait_impls(&self, type1: &TypeInfo, type2: &TypeInfo) -> usize {
1052        let type1_traits: std::collections::HashSet<_> = type1.trait_impls.iter().collect();
1053        let type2_traits: std::collections::HashSet<_> = type2.trait_impls.iter().collect();
1054
1055        type1_traits.intersection(&type2_traits).count()
1056    }
1057
1058    /// Check if two types have similar structure
1059    fn have_similar_structure(&self, type1: &TypeInfo, type2: &TypeInfo) -> bool {
1060        // Check if both are the same kind
1061        if std::mem::discriminant(&type1.kind) != std::mem::discriminant(&type2.kind) {
1062            return false;
1063        }
1064
1065        // Check if they have similar number of fields
1066        let field_count_diff = (type1.fields.len() as i32 - type2.fields.len() as i32).abs();
1067        field_count_diff <= 2 // Allow some difference in field count
1068    }
1069
1070    /// Add bidirectional references
1071    fn add_bidirectional_references(
1072        &self,
1073        mut refs: HashMap<String, Vec<String>>,
1074    ) -> Result<HashMap<String, Vec<String>>> {
1075        let keys: Vec<String> = refs.keys().cloned().collect();
1076
1077        for key in &keys {
1078            if let Some(values) = refs.get(key).cloned() {
1079                for value in values {
1080                    // Add reverse reference
1081                    refs.entry(value).or_default().push(key.clone());
1082                }
1083            }
1084        }
1085
1086        // Remove duplicates
1087        for (_, values) in refs.iter_mut() {
1088            values.sort();
1089            values.dedup();
1090        }
1091
1092        Ok(refs)
1093    }
1094
1095    /// Get cached cross-references
1096    pub fn get_cached_references(&self) -> &HashMap<String, Vec<String>> {
1097        &self.reference_cache
1098    }
1099
1100    /// Clear the reference cache
1101    pub fn clear_cache(&mut self) {
1102        self.reference_cache.clear();
1103    }
1104
1105    /// Set maximum reference depth
1106    pub fn set_max_depth(&mut self, depth: usize) {
1107        self.max_depth = depth;
1108    }
1109
1110    /// Set bidirectional reference mode
1111    pub fn set_bidirectional(&mut self, enabled: bool) {
1112        self.bidirectional_refs = enabled;
1113    }
1114}
1115
1116impl Default for CrossReferenceBuilder {
1117    fn default() -> Self {
1118        Self::new()
1119    }
1120}
1121
1122// ================================================================================================
1123// API VISUALIZATION ENGINE
1124// ================================================================================================
1125
1126/// API visualization engine for generating visual representations
1127#[derive(Debug, Clone)]
1128pub struct ApiVisualizationEngine {
1129    visualization_templates: HashMap<String, VisualizationTemplate>,
1130}
1131
1132impl ApiVisualizationEngine {
1133    /// Create a new API visualization engine
1134    pub fn new() -> Self {
1135        let mut engine = Self {
1136            visualization_templates: HashMap::new(),
1137        };
1138        engine.initialize_templates();
1139        engine
1140    }
1141
1142    /// Generate visualizations for an API reference
1143    pub fn generate_visualizations(&self, api_ref: &ApiReference) -> Result<Vec<ApiVisualization>> {
1144        let mut visualizations = Vec::new();
1145
1146        // Generate trait hierarchy visualization
1147        if !api_ref.traits.is_empty() {
1148            visualizations.push(self.generate_trait_hierarchy_viz(api_ref)?);
1149        }
1150
1151        // Generate type relationship visualization
1152        if !api_ref.types.is_empty() {
1153            visualizations.push(self.generate_type_relationship_viz(api_ref)?);
1154        }
1155
1156        // Generate example flow visualization
1157        if !api_ref.examples.is_empty() {
1158            visualizations.push(self.generate_example_flow_viz(api_ref)?);
1159        }
1160
1161        Ok(visualizations)
1162    }
1163
1164    /// Initialize visualization templates
1165    fn initialize_templates(&mut self) {
1166        // Trait hierarchy template
1167        self.visualization_templates.insert(
1168            "trait-hierarchy".to_string(),
1169            VisualizationTemplate {
1170                name: "Trait Hierarchy".to_string(),
1171                template_type: VisualizationType::Tree,
1172                default_config: VisualizationConfig {
1173                    width: 800,
1174                    height: 600,
1175                    theme: "dark".to_string(),
1176                    animation_enabled: true,
1177                },
1178            },
1179        );
1180
1181        // Type relationship template
1182        self.visualization_templates.insert(
1183            "type-relationships".to_string(),
1184            VisualizationTemplate {
1185                name: "Type Relationships".to_string(),
1186                template_type: VisualizationType::Network,
1187                default_config: VisualizationConfig {
1188                    width: 700,
1189                    height: 500,
1190                    theme: "light".to_string(),
1191                    animation_enabled: true,
1192                },
1193            },
1194        );
1195
1196        // Example flow template
1197        self.visualization_templates.insert(
1198            "example-flow".to_string(),
1199            VisualizationTemplate {
1200                name: "Example Code Flow".to_string(),
1201                template_type: VisualizationType::FlowChart,
1202                default_config: VisualizationConfig {
1203                    width: 600,
1204                    height: 400,
1205                    theme: "auto".to_string(),
1206                    animation_enabled: false,
1207                },
1208            },
1209        );
1210    }
1211
1212    /// Generate trait hierarchy visualization
1213    fn generate_trait_hierarchy_viz(&self, api_ref: &ApiReference) -> Result<ApiVisualization> {
1214        let template = self.visualization_templates.get("trait-hierarchy").unwrap();
1215
1216        Ok(ApiVisualization {
1217            title: template.name.clone(),
1218            visualization_type: template.template_type.clone(),
1219            data: ApiVisualizationData {
1220                nodes: api_ref
1221                    .traits
1222                    .iter()
1223                    .map(|t| VisualizationNode {
1224                        id: t.name.clone(),
1225                        label: t.name.clone(),
1226                        node_type: "trait".to_string(),
1227                        properties: HashMap::new(),
1228                    })
1229                    .collect(),
1230                edges: Vec::new(),
1231                metadata: HashMap::new(),
1232            },
1233            config: template.default_config.clone(),
1234        })
1235    }
1236
1237    /// Generate type relationship visualization
1238    fn generate_type_relationship_viz(&self, api_ref: &ApiReference) -> Result<ApiVisualization> {
1239        let template = self
1240            .visualization_templates
1241            .get("type-relationships")
1242            .unwrap();
1243
1244        Ok(ApiVisualization {
1245            title: template.name.clone(),
1246            visualization_type: template.template_type.clone(),
1247            data: ApiVisualizationData {
1248                nodes: api_ref
1249                    .types
1250                    .iter()
1251                    .map(|t| VisualizationNode {
1252                        id: t.name.clone(),
1253                        label: t.name.clone(),
1254                        node_type: "type".to_string(),
1255                        properties: HashMap::new(),
1256                    })
1257                    .collect(),
1258                edges: Vec::new(),
1259                metadata: HashMap::new(),
1260            },
1261            config: template.default_config.clone(),
1262        })
1263    }
1264
1265    /// Generate example flow visualization
1266    fn generate_example_flow_viz(&self, api_ref: &ApiReference) -> Result<ApiVisualization> {
1267        let template = self.visualization_templates.get("example-flow").unwrap();
1268
1269        Ok(ApiVisualization {
1270            title: template.name.clone(),
1271            visualization_type: template.template_type.clone(),
1272            data: ApiVisualizationData {
1273                nodes: api_ref
1274                    .examples
1275                    .iter()
1276                    .map(|e| VisualizationNode {
1277                        id: e.title.clone(),
1278                        label: e.title.clone(),
1279                        node_type: "example".to_string(),
1280                        properties: HashMap::new(),
1281                    })
1282                    .collect(),
1283                edges: Vec::new(),
1284                metadata: HashMap::new(),
1285            },
1286            config: template.default_config.clone(),
1287        })
1288    }
1289}
1290
1291impl Default for ApiVisualizationEngine {
1292    fn default() -> Self {
1293        Self::new()
1294    }
1295}
1296
1297/// Visualization template
1298#[derive(Debug, Clone, Serialize, Deserialize)]
1299pub struct VisualizationTemplate {
1300    /// Template name
1301    pub name: String,
1302    /// Type of visualization
1303    pub template_type: VisualizationType,
1304    /// Default configuration
1305    pub default_config: VisualizationConfig,
1306}
1307
1308// ================================================================================================
1309// TESTS
1310// ================================================================================================
1311
1312#[allow(non_snake_case)]
1313#[cfg(test)]
1314mod tests {
1315    use super::*;
1316
1317    #[test]
1318    fn test_trait_analyzer() {
1319        let config = GeneratorConfig::new();
1320        let mut analyzer = TraitAnalyzer::new(config);
1321        let crate_info = CrateInfo {
1322            name: "test-crate".to_string(),
1323            version: "1.0.0".to_string(),
1324            description: "Test crate".to_string(),
1325            modules: Vec::new(),
1326            dependencies: Vec::new(),
1327        };
1328
1329        let traits = analyzer.analyze_traits(&crate_info).unwrap();
1330        assert!(!traits.is_empty());
1331        assert!(traits.iter().any(|t| t.name == "Estimator"));
1332        assert!(traits.iter().any(|t| t.name == "Fit"));
1333    }
1334
1335    #[test]
1336    fn test_type_extractor() {
1337        let config = GeneratorConfig::new();
1338        let mut extractor = TypeExtractor::new(config);
1339        let crate_info = CrateInfo {
1340            name: "test-crate".to_string(),
1341            version: "1.0.0".to_string(),
1342            description: "Test crate".to_string(),
1343            modules: Vec::new(),
1344            dependencies: Vec::new(),
1345        };
1346
1347        let types = extractor.extract_types(&crate_info).unwrap();
1348        assert!(!types.is_empty());
1349        assert!(types.iter().any(|t| t.name == "SklearsError"));
1350    }
1351
1352    #[test]
1353    fn test_example_validator() {
1354        let validator = ExampleValidator::new();
1355        let example = CodeExample {
1356            title: "Test Example".to_string(),
1357            description: "A test example".to_string(),
1358            code: "fn main() { println!(\"Hello, world!\"); }".to_string(),
1359            language: "rust".to_string(),
1360            runnable: true,
1361            expected_output: Some("Hello, world!".to_string()),
1362        };
1363
1364        let validated = validator.validate_example(&example).unwrap();
1365        assert_eq!(validated.title, example.title);
1366    }
1367
1368    #[test]
1369    fn test_example_validator_syntax_error() {
1370        let validator = ExampleValidator::new();
1371        let example = CodeExample {
1372            title: "Invalid Example".to_string(),
1373            description: "An invalid example".to_string(),
1374            code: "fn main() { println!(\"Hello, world!\"; }".to_string(), // Missing closing parenthesis
1375            language: "rust".to_string(),
1376            runnable: true,
1377            expected_output: None,
1378        };
1379
1380        let result = validator.validate_example(&example);
1381        assert!(result.is_err());
1382    }
1383
1384    #[test]
1385    fn test_cross_reference_builder() {
1386        let mut builder = CrossReferenceBuilder::new();
1387        let traits = vec![TraitInfo {
1388            name: "TestTrait".to_string(),
1389            description: "A test trait".to_string(),
1390            path: "test::TestTrait".to_string(),
1391            generics: Vec::new(),
1392            associated_types: Vec::new(),
1393            methods: Vec::new(),
1394            supertraits: Vec::new(),
1395            implementations: vec!["TestImpl".to_string()],
1396        }];
1397        let types = vec![TypeInfo {
1398            name: "TestType".to_string(),
1399            description: "A test type".to_string(),
1400            path: "test::TestType".to_string(),
1401            kind: TypeKind::Struct,
1402            generics: Vec::new(),
1403            fields: Vec::new(),
1404            trait_impls: vec!["TestTrait".to_string()],
1405        }];
1406
1407        let refs = builder.build_cross_references(&traits, &types).unwrap();
1408        assert!(!refs.is_empty());
1409        assert!(refs.contains_key("TestTrait"));
1410        assert!(refs.contains_key("TestType"));
1411    }
1412
1413    #[test]
1414    fn test_validation_rules() {
1415        let validator = ExampleValidator::new();
1416        let unsafe_example = CodeExample {
1417            title: "Unsafe Example".to_string(),
1418            description: "An unsafe example".to_string(),
1419            code: "unsafe { println!(\"Dangerous!\"); }".to_string(),
1420            language: "rust".to_string(),
1421            runnable: true,
1422            expected_output: None,
1423        };
1424
1425        let result = validator.validate_example(&unsafe_example);
1426        assert!(result.is_err());
1427    }
1428
1429    #[test]
1430    fn test_api_visualization_engine() {
1431        let engine = ApiVisualizationEngine::new();
1432        let api_ref = ApiReference {
1433            crate_name: "test-crate".to_string(),
1434            version: "1.0.0".to_string(),
1435            traits: vec![TraitInfo::default()],
1436            types: vec![],
1437            examples: vec![],
1438            cross_references: HashMap::new(),
1439            metadata: crate::api_data_structures::ApiMetadata::default(),
1440        };
1441
1442        let visualizations = engine.generate_visualizations(&api_ref).unwrap();
1443        assert!(!visualizations.is_empty());
1444    }
1445}
sklears_core/api_analyzers.rs

sklears_core/
api_analyzers.rs
