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//! Main validator implementation
//!
//! This module provides the core `Validator` struct that orchestrates all validation
//! operations and manages caching, custom rules, and configuration.
//!
//! ## Features
//!
//! - **Schema-based validation**: Validate data against predefined schemas
//! - **Custom validation rules**: Extend validation with custom business logic
//! - **Caching**: Improve performance with result caching
//! - **Array validation**: Specialized validation for scientific arrays
//! - **Quality analysis**: Generate comprehensive data quality reports
//!
//! ## Examples
//!
//! ### Basic validation
//!
//! ```rust
//! use scirs2_core::validation::data::{Validator, ValidationConfig, ValidationSchema, DataType};
//!
//! let config = ValidationConfig::default();
//! let validator = Validator::new(config)?;
//!
//! let schema = ValidationSchema::new()
//! .name("user_schema")
//! .require_field("name", DataType::String)
//! .require_field("age", DataType::Integer);
//!
//! #
//! # {
//! let data = serde_json::json!({
//! "name": "John Doe",
//! "age": 30
//! });
//!
//! let result = validator.validate(&data, &schema)?;
//! assert!(result.is_valid());
//! # }
//! # Ok::<(), Box<dyn std::error::Error>>(())
//! ```
//!
//! ### Array validation
//!
//! ```rust
//! use scirs2_core::validation::data::{Validator, ValidationConfig, ArrayValidationConstraints};
//! use ::ndarray::Array2;
//!
//! let config = ValidationConfig::default();
//! let validator = Validator::new(config.clone())?;
//!
//! let data = Array2::from_shape_vec((3, 2), vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0])?;
//!
//! let constraints = ArrayValidationConstraints::new()
//! .withshape(vec![3, 2])
//! .check_numeric_quality();
//!
//! let result = validator.validate_ndarray(&data, &constraints, &config)?;
//! assert!(result.is_valid());
//! # Ok::<(), Box<dyn std::error::Error>>(())
//! ```
use crate::error::{CoreError, ErrorContext};
use std::collections::{HashMap, HashSet};
use std::sync::{Arc, RwLock};
use std::time::Instant;
use super::array_validation::ArrayValidator;
use super::config::{ErrorSeverity, ValidationConfig, ValidationErrorType};
use super::constraints::{ArrayValidationConstraints, Constraint};
use super::errors::{ValidationError, ValidationResult, ValidationStats};
use super::quality::{DataQualityReport, QualityAnalyzer};
use super::schema::{DataType, ValidationSchema};
// Core dependencies for array/matrix validation
use ::ndarray::{ArrayBase, Data, Dimension, ScalarOperand};
use num_traits::{Float, FromPrimitive};
use std::fmt;
use serde_json::Value as JsonValue;
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
/// Cache entry for validation results
#[derive(Debug, Clone)]
struct CacheEntry {
result: ValidationResult,
timestamp: Instant,
hit_count: usize,
}
/// Trait for custom validation rules
pub trait ValidationRule {
/// Validate a value
fn validate(&self, value: &JsonValue, fieldpath: &str) -> Result<(), String>;
/// Get rule name
fn name(&self) -> &str;
/// Get rule description
fn description(&self) -> &str;
}
/// Main data validator with comprehensive validation capabilities
pub struct Validator {
/// Validation configuration
config: ValidationConfig,
/// Validation result cache
cache: Arc<RwLock<HashMap<String, CacheEntry>>>,
/// Custom validation rules
custom_rules: HashMap<String, Box<dyn ValidationRule + Send + Sync>>,
/// Array validator
array_validator: ArrayValidator,
/// Quality analyzer
quality_analyzer: QualityAnalyzer,
}
impl Validator {
/// Create a new validator with configuration
///
/// # Arguments
///
/// * `config` - Validation configuration settings
///
/// # Returns
///
/// A new `Validator` instance or an error if initialization fails
///
/// # Example
///
/// ```rust
/// use scirs2_core::validation::data::{Validator, ValidationConfig};
///
/// let mut config = ValidationConfig::default();
/// config.max_depth = 10;
/// config.strict_mode = true;
///
/// let validator = Validator::new(config)?;
/// # Ok::<(), Box<dyn std::error::Error>>(())
/// ```
pub fn new(config: ValidationConfig) -> Result<Self, CoreError> {
Ok(Self {
config,
cache: Arc::new(RwLock::new(HashMap::new())),
custom_rules: HashMap::new(),
array_validator: ArrayValidator::new(),
quality_analyzer: QualityAnalyzer::new(),
})
}
/// Validate JSON data against a schema
///
/// This method performs comprehensive validation of JSON data against a predefined schema,
/// including type checking, constraint validation, and custom rules.
///
/// # Arguments
///
/// * `data` - The JSON data to validate
/// * `schema` - The validation schema to apply
///
/// # Returns
///
/// A `ValidationResult` containing the validation outcome and any errors/warnings
///
/// # Example
///
/// ```rust
/// #
/// # {
/// use scirs2_core::validation::data::{Validator, ValidationSchema, DataType, Constraint, ValidationConfig};
///
/// let validator = Validator::new(ValidationConfig::default())?;
///
/// let schema = ValidationSchema::new()
/// .require_field("email", DataType::String)
/// .add_constraint("email", Constraint::Pattern("^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$".to_string()));
///
/// let data = serde_json::json!({
/// "email": "user@example.com"
/// });
///
/// let result = validator.validate(&data, &schema)?;
/// assert!(result.is_valid());
/// # }
/// # Ok::<(), Box<dyn std::error::Error>>(())
/// ```
pub fn validate(
&self,
data: &JsonValue,
schema: &ValidationSchema,
) -> Result<ValidationResult, CoreError> {
let start_time = Instant::now();
let mut errors = Vec::new();
let mut warnings = Vec::new();
let mut stats = ValidationStats::default();
// Check cache if enabled
if self.config.enable_caching {
let cachekey = self.generate_cachekey(data, schema)?;
if let Some(mut cached_result) = self.get_cached_result(&cachekey)? {
// Update cache hit rate
let cache_hit_rate = self.calculate_cache_hit_rate()?;
cached_result.stats.set_cache_hit_rate(cache_hit_rate);
return Ok(cached_result);
}
}
// Validate each field in the schema
self.validate_fields(data, schema, "", &mut errors, &mut warnings, &mut stats, 0)?;
// Apply global constraints
self.validate_global_constraints(data, schema, &mut errors, &mut warnings, &mut stats)?;
// Check for additional fields if not allowed
if !schema.allow_additional_fields {
self.check_additional_fields(data, schema, &mut errors, &mut warnings)?;
}
let valid = errors.is_empty()
&& !warnings
.iter()
.any(|w| w.severity == ErrorSeverity::Critical);
let duration = start_time.elapsed();
let mut result = ValidationResult {
valid,
errors,
warnings,
stats,
duration,
};
// Cache result if enabled
if self.config.enable_caching {
let cachekey = self.generate_cachekey(data, schema)?;
self.cache_result(&cachekey, result.clone())?;
}
// Update cache hit rate
if self.config.enable_caching {
let cache_hit_rate = self.calculate_cache_hit_rate()?;
result.stats.set_cache_hit_rate(cache_hit_rate);
}
Ok(result)
}
/// Validate ndarray with comprehensive checks
///
/// Performs validation on scientific arrays including shape validation, numeric quality
/// checks, statistical constraints, and performance characteristics.
///
/// # Arguments
///
/// * `array` - The ndarray to validate
/// * `constraints` - Validation constraints to apply
/// * `config` - Validation configuration
///
/// # Type Parameters
///
/// * `S` - Storage type (must implement `Data`)
/// * `D` - Dimension type
/// * `S::Elem` - Element type (must be a floating-point type)
///
/// # Returns
///
/// A `ValidationResult` with detailed validation information
///
/// # Example
///
/// ```rust
/// use scirs2_core::validation::data::{Validator, ValidationConfig, ArrayValidationConstraints};
/// use ::ndarray::Array2;
///
/// let validator = Validator::new(ValidationConfig::default())?;
///
/// let data = Array2::from_shape_vec((3, 3), vec![
/// 1.0, 2.0, 3.0,
/// 4.0, 5.0, 6.0,
/// 7.0, 8.0, 9.0
/// ])?;
///
/// let constraints = ArrayValidationConstraints::new()
/// .withshape(vec![3, 3])
/// .check_numeric_quality();
///
/// let result = validator.validate_ndarray(&data, &constraints, &ValidationConfig::default())?;
/// assert!(result.is_valid());
/// # Ok::<(), Box<dyn std::error::Error>>(())
/// ```
pub fn validate_ndarray<S, D>(
&self,
array: &ArrayBase<S, D>,
constraints: &ArrayValidationConstraints,
config: &ValidationConfig,
) -> Result<ValidationResult, CoreError>
where
S: Data,
D: Dimension,
S::Elem: Float + fmt::Debug + Send + Sync + ScalarOperand + FromPrimitive,
{
self.array_validator
.validate_ndarray(array, constraints, config)
}
/// Generate comprehensive data quality report
///
/// Analyzes an array and generates a detailed quality report including completeness,
/// accuracy, consistency, and statistical properties.
///
/// # Arguments
///
/// * `array` - The array to analyze
/// * `fieldname` - Name of the field for reporting
///
/// # Returns
///
/// A `DataQualityReport` with quality metrics and recommendations
///
/// # Example
///
/// ```rust
/// use scirs2_core::validation::data::{Validator, ValidationConfig};
/// use ::ndarray::Array1;
///
/// let validator = Validator::new(ValidationConfig::default())?;
///
/// let data = Array1::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]);
/// let report = validator.generate_quality_report(&data, "measurements")?;
///
/// println!("Quality score: {}", report.quality_score);
/// println!("Completeness: {}", report.metrics.completeness);
/// # Ok::<(), Box<dyn std::error::Error>>(())
/// ```
pub fn generate_quality_report<S, D>(
&self,
array: &ArrayBase<S, D>,
fieldname: &str,
) -> Result<DataQualityReport, CoreError>
where
S: Data,
D: Dimension,
S::Elem: Float + fmt::Debug + ScalarOperand + Send + Sync + FromPrimitive,
{
self.quality_analyzer
.generate_quality_report(array, fieldname)
}
/// Add a custom validation rule
///
/// Registers a custom validation rule that can be referenced in schemas.
///
/// # Arguments
///
/// * `name` - Unique name for the rule
/// * `rule` - The validation rule implementation
///
/// # Example
///
/// ```rust
/// use scirs2_core::validation::data::{Validator, ValidationConfig, ValidationRule};
/// use serde_json::Value as JsonValue;
///
/// struct EmailRule;
///
/// impl ValidationRule for EmailRule {
/// fn validate(&self, value: &JsonValue, fieldpath: &str) -> Result<(), String> {
/// if let Some(email) = value.as_str() {
/// if email.contains('@') {
/// Ok(())
/// } else {
/// Err(format!("{fieldpath}: invalid email format"))
/// }
/// } else {
/// Err(format!("{fieldpath}: expected string"))
/// }
/// }
///
/// fn name(&self) -> &str { "email" }
/// fn description(&self) -> &str { "Validates email format" }
/// }
///
/// let mut validator = Validator::new(ValidationConfig::default())?;
/// validator.add_custom_rule("email".to_string(), Box::new(EmailRule));
/// # Ok::<(), Box<dyn std::error::Error>>(())
/// ```
pub fn add_custom_rule(&mut self, name: String, rule: Box<dyn ValidationRule + Send + Sync>) {
self.custom_rules.insert(name, rule);
}
/// Clear validation cache
pub fn clear_cache(&self) -> Result<(), CoreError> {
let mut cache = self.cache.write().map_err(|_| {
CoreError::ComputationError(ErrorContext::new(
"Failed to acquire cache write lock".to_string(),
))
})?;
cache.clear();
Ok(())
}
/// Get cache statistics
pub fn get_cache_stats(&self) -> Result<(usize, f64), CoreError> {
let cache = self.cache.read().map_err(|_| {
CoreError::ComputationError(ErrorContext::new(
"Failed to acquire cache read lock".to_string(),
))
})?;
let size = cache.len();
let hit_rate = self.calculate_cache_hit_rate()?;
Ok((size, hit_rate))
}
/// Validate individual fields
fn validate_fields(
&self,
data: &JsonValue,
schema: &ValidationSchema,
fieldpath: &str,
errors: &mut Vec<ValidationError>,
warnings: &mut Vec<ValidationError>,
stats: &mut ValidationStats,
depth: usize,
) -> Result<(), CoreError> {
if depth > self.config.max_depth {
errors.push(ValidationError {
errortype: ValidationErrorType::SchemaError,
fieldpath: fieldpath.to_string(),
message: "Maximum validation _depth exceeded".to_string(),
expected: None,
actual: None,
constraint: None,
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
return Ok(());
}
let data_obj = match data {
JsonValue::Object(obj) => obj,
_ => {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: fieldpath.to_string(),
message: "Expected object".to_string(),
expected: Some("object".to_string()),
actual: Some(self.get_value_type_name(data)),
constraint: None,
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
return Ok(());
}
};
for (fieldname, field_def) in &schema.fields {
stats.add_field_validation();
let fieldpath = if depth == 0 {
fieldname.clone()
} else {
fieldname.to_string()
};
if let Some(field_value) = data_obj.get(fieldname) {
// Field exists, validate type and constraints
self.validate_field_type(field_value, &field_def.datatype, &fieldpath, errors)?;
self.validate_field_constraints(
field_value,
&field_def.constraints,
&fieldpath,
errors,
warnings,
stats,
)?;
// Validate custom rules
for rule_name in &field_def.validation_rules {
if let Some(rule) = self.custom_rules.get(rule_name) {
if let Err(ruleerror) = rule.validate(field_value, &fieldpath) {
errors.push(ValidationError {
errortype: ValidationErrorType::CustomRuleFailure,
fieldpath: fieldpath.clone(),
message: ruleerror,
expected: None,
actual: None,
constraint: Some(rule_name.clone()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
} else if field_def.required {
// Required field is missing
errors.push(ValidationError {
errortype: ValidationErrorType::MissingRequiredField,
fieldpath,
message: format!("Required field '{}' is missing", fieldname),
expected: Some(format!("{:?}", field_def.datatype)),
actual: Some("missing".to_string()),
constraint: Some("required".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Ok(())
}
/// Validate field type
fn validate_field_type(
&self,
value: &JsonValue,
expected_type: &DataType,
fieldpath: &str,
errors: &mut Vec<ValidationError>,
) -> Result<(), CoreError> {
let type_matches = match expected_type {
DataType::Boolean => value.is_boolean(),
DataType::Integer => value.is_i64(),
DataType::Float32 | DataType::Float64 => value.is_f64() || value.is_i64(),
DataType::String => value.is_string(),
DataType::Array(_) => value.is_array(),
DataType::Object => value.is_object(),
DataType::Null => value.is_null(),
_ => true, // Other types not yet implemented
};
if !type_matches {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: fieldpath.to_string(),
message: format!(
"Type mismatch: expected {:?}, got {}",
expected_type,
self.get_value_type_name(value)
),
expected: Some(format!("{expected_type:?}")),
actual: Some(self.get_value_type_name(value)),
constraint: Some("type".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
Ok(())
}
/// Validate field constraints
#[allow(clippy::only_used_in_recursion)]
fn validate_field_constraints(
&self,
value: &JsonValue,
constraints: &[Constraint],
fieldpath: &str,
errors: &mut Vec<ValidationError>,
warnings: &mut Vec<ValidationError>,
stats: &mut ValidationStats,
) -> Result<(), CoreError> {
for constraint in constraints {
stats.add_constraint_check();
match constraint {
Constraint::Range { min, max } => {
if let Some(num) = value.as_f64() {
if num < *min || num > *max {
errors.push(ValidationError {
errortype: ValidationErrorType::OutOfRange,
fieldpath: fieldpath.to_string(),
message: format!(
"Value {} is out of range [{}, {}]",
num, min, max
),
expected: Some(format!("[{}, {}]", min, max)),
actual: Some(num.to_string()),
constraint: Some("range".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
Constraint::Length { min, max } => {
if let Some(s) = value.as_str() {
let len = s.len();
if len < *min || len > *max {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"String length {} is out of range [{}, {}]",
len, min, max
),
expected: Some(format!("length in [{}, {}]", min, max)),
actual: Some(len.to_string()),
constraint: Some("length".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
Constraint::NotNull => {
if value.is_null() {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: "Value cannot be null".to_string(),
expected: Some("non-null value".to_string()),
actual: Some("null".to_string()),
constraint: Some("not_null".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::Unique => {
if let Some(arr) = value.as_array() {
let mut seen = HashSet::new();
for item in arr {
let item_str = item.to_string();
if !seen.insert(item_str.clone()) {
errors.push(ValidationError {
errortype: ValidationErrorType::DuplicateValues,
fieldpath: fieldpath.to_string(),
message: item_str.to_string(),
expected: Some("unique values".to_string()),
actual: Some("duplicate found".to_string()),
constraint: Some("unique".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
}
Constraint::Pattern(pattern) => {
if let Some(s) = value.as_str() {
#[cfg(feature = "regex")]
{
if let Ok(re) = regex::Regex::new(pattern) {
if !re.is_match(s) {
errors.push(ValidationError {
errortype: ValidationErrorType::InvalidFormat,
fieldpath: fieldpath.to_string(),
message: format!(
"Value '{}' does not match pattern '{}'",
s, pattern
),
expected: Some(pattern.to_string()),
actual: Some(s.to_string()),
constraint: Some(pattern.to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
#[cfg(not(feature = "regex"))]
{
warnings.push(ValidationError {
errortype: ValidationErrorType::SchemaError,
fieldpath: fieldpath.to_string(),
message: "Pattern validation requires 'regex' feature".to_string(),
expected: None,
actual: None,
constraint: Some(pattern.to_string()),
severity: ErrorSeverity::Warning,
context: HashMap::new(),
});
}
}
}
Constraint::AllowedValues(allowed) => {
let value_str = match value {
JsonValue::String(s) => s.clone(),
_ => value.to_string(),
};
if !allowed.contains(&value_str) {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Value '{}' is not in allowed values: {:?}",
value_str, allowed
),
expected: Some(format!("{allowed:?}")),
actual: Some(value_str),
constraint: Some("allowed_values".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::Precision { decimal_places } => {
if let Some(num) = value.as_f64() {
let num_str = num.to_string();
if let Some(dot_pos) = num_str.find('.') {
let actual_precision = num_str.len() - dot_pos - 1;
if actual_precision > *decimal_places {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Value {} has {} decimal places, expected at most {}",
num, actual_precision, decimal_places
),
expected: Some(format!(
"max {} decimal places",
decimal_places
)),
actual: Some(format!("{} decimal places", actual_precision)),
constraint: Some("precision".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
}
Constraint::ArraySize { min, max } => {
if let Some(arr) = value.as_array() {
let size = arr.len();
if size < *min || size > *max {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Array size {} is out of range [{}, {}]",
size, min, max
),
expected: Some(format!("size in [{}, {}]", min, max)),
actual: Some(size.to_string()),
constraint: Some("array_size".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
Constraint::ArrayElements(element_constraint) => {
if let Some(arr) = value.as_array() {
for (idx, element) in arr.iter().enumerate() {
let element_path = format!("{}[{}]", fieldpath, idx);
self.validate_field_constraints(
element,
&[(**element_constraint).clone()],
&element_path,
errors,
warnings,
stats,
)?;
}
}
}
Constraint::Custom(_rule_name) => {
// Custom constraint validation is handled separately in validate_fields
// This is just a placeholder for consistency
}
Constraint::Statistical(stats_constraints) => {
// Validate statistical properties of numeric arrays
if let Some(arr) = value.as_array() {
let mut numeric_values: Vec<f64> = Vec::new();
// Extract numeric values from array
for (idx, val) in arr.iter().enumerate() {
if let Some(num) = val.as_f64() {
numeric_values.push(num);
} else if let Some(num) = val.as_i64() {
numeric_values.push(num as f64);
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: format!("{}[{}]", fieldpath, idx),
message: format!("{val}"),
expected: Some("number".to_string()),
actual: Some(val.to_string()),
constraint: Some("statistical".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
continue;
}
}
if numeric_values.is_empty() {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: "Statistical validation requires numeric values"
.to_string(),
expected: Some("numeric array".to_string()),
actual: Some("empty or non-numeric array".to_string()),
constraint: Some("statistical".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
} else {
// Calculate statistics
let count = numeric_values.len() as f64;
let mean = numeric_values.iter().sum::<f64>() / count;
// Calculate standard deviation
let variance = numeric_values
.iter()
.map(|x| (x - mean).powi(2))
.sum::<f64>()
/ count;
let std_dev = variance.sqrt();
// Check mean constraints
if let Some(min_mean) = stats_constraints.min_mean {
if mean < min_mean {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Mean {:.4} is less than minimum {:.4}",
mean, min_mean
),
expected: Some(format!(":.4{min_mean}")),
actual: Some(format!(":.4{mean}")),
constraint: Some("statistical.min_mean".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
if let Some(max_mean) = stats_constraints.max_mean {
if mean > max_mean {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Mean {:.4} exceeds maximum {:.4}",
mean, max_mean
),
expected: Some(format!(":.4{max_mean}")),
actual: Some(format!(":.4{mean}")),
constraint: Some("statistical.max_mean".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
// Check standard deviation constraints
if let Some(min_std) = stats_constraints.min_std {
if std_dev < min_std {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Standard deviation {:.4} is less than minimum {:.4}",
std_dev, min_std
),
expected: Some(format!(":.4{min_std}")),
actual: Some(format!(":.4{std_dev}")),
constraint: Some("statistical.min_std".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
if let Some(max_std) = stats_constraints.max_std {
if std_dev > max_std {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Standard deviation {:.4} exceeds maximum {:.4}",
std_dev, max_std
),
expected: Some(format!(":.4{max_std}")),
actual: Some(format!(":.4{std_dev}")),
constraint: Some("statistical.max_std".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
// Check distribution (if specified)
if let Some(expected_dist) = &stats_constraints.expected_distribution {
// For now, just add a warning - full distribution testing would require more complex analysis
warnings.push(ValidationError {
errortype: ValidationErrorType::SchemaError,
fieldpath: fieldpath.to_string(),
message: format!(
"Distribution testing for '{}' not yet implemented",
expected_dist
),
expected: None,
actual: None,
constraint: Some("statistical.distribution".to_string()),
severity: ErrorSeverity::Warning,
context: HashMap::new(),
});
}
}
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: fieldpath.to_string(),
message: "Statistical constraints require an array of numeric values"
.to_string(),
expected: Some("numeric array".to_string()),
actual: Some(format!("{value}")),
constraint: Some("statistical".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::Temporal(time_constraints) => {
// Validate temporal data (array of timestamps)
if let Some(arr) = value.as_array() {
let mut timestamps: Vec<i64> = Vec::new();
// Extract timestamps from array
for (idx, val) in arr.iter().enumerate() {
if let Some(ts) = val.as_i64() {
timestamps.push(ts);
} else if let Some(ts) = val.as_f64() {
timestamps.push(ts as i64);
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: format!("{}[{}]", fieldpath, idx),
message: format!("{val}"),
expected: Some("timestamp (integer or float)".to_string()),
actual: Some(val.to_string()),
constraint: Some("temporal".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
continue;
}
}
if timestamps.len() < 2 {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: "Temporal validation requires at least 2 timestamps"
.to_string(),
expected: Some("at least 2 timestamps".to_string()),
actual: Some(format!("{} timestamps", timestamps.len())),
constraint: Some("temporal".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
} else {
// Check for monotonic ordering if required
if time_constraints.require_monotonic {
let mut _is_monotonic = true;
for i in 1..timestamps.len() {
if timestamps[i] < timestamps[i.saturating_sub(1)] {
_is_monotonic = false;
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Timestamps not monotonic: {} comes after {}",
timestamps[i],
timestamps[i.saturating_sub(1)]
),
expected: Some(
"monotonic increasing timestamps".to_string(),
),
actual: Some("non-monotonic timestamps".to_string()),
constraint: Some("temporal.monotonic".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
break;
}
}
}
// Check for duplicates if not allowed
if !time_constraints.allow_duplicates {
let mut seen = std::collections::HashSet::new();
for &ts in ×tamps {
if !seen.insert(ts) {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!("{ts}"),
expected: Some("unique timestamps".to_string()),
actual: Some("duplicate timestamps".to_string()),
constraint: Some("temporal.unique".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
break;
}
}
}
// Check interval constraints
for i in 1..timestamps.len() {
let interval_ms =
(timestamps[i] - timestamps[i.saturating_sub(1)]).abs();
let interval = std::time::Duration::from_millis(interval_ms as u64);
if let Some(min_interval) = &time_constraints.min_interval {
if interval < *min_interval {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Interval {:?} is less than minimum {:?}",
interval, min_interval
),
expected: Some(format!(
"min interval {:?}",
min_interval
)),
actual: Some(format!("{:?}", interval)),
constraint: Some("temporal.min_interval".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
break;
}
}
if let Some(max_interval) = &time_constraints.max_interval {
if interval > *max_interval {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"Interval {:?} exceeds maximum {:?}",
interval, max_interval
),
expected: Some(format!(
"max interval {:?}",
max_interval
)),
actual: Some(format!("{:?}", interval)),
constraint: Some("temporal.max_interval".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
break;
}
}
}
}
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: fieldpath.to_string(),
message: "Temporal constraints require an array of timestamps"
.to_string(),
expected: Some("array of timestamps".to_string()),
actual: Some(format!("{value}")),
constraint: Some("temporal".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::Shape(shape_constraints) => {
// Validate array/matrix shape properties
if let Some(arr) = value.as_array() {
// For JSON arrays, we can only validate 1D arrays directly
// Multi-dimensional arrays would need to be nested arrays
let mut shape = vec![arr.len()];
// Check if it's a nested array (2D)
let mut is_2d = true;
let mut inner_sizes = Vec::new();
for elem in arr {
if let Some(inner_arr) = elem.as_array() {
inner_sizes.push(inner_arr.len());
} else {
is_2d = false;
break;
}
}
if is_2d && !inner_sizes.is_empty() {
// Check if all inner arrays have the same size
let first_size = inner_sizes[0];
if inner_sizes.iter().all(|&s| s == first_size) {
shape = vec![arr.len(), first_size];
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: "Jagged arrays are not supported - all rows must have the same length".to_string(),
expected: Some("rectangular array".to_string()),
actual: Some("jagged array".to_string()),
constraint: Some(format!("{:?}", shape)),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
return Ok(());
}
}
// Validate dimensions
if !shape_constraints.dimensions.is_empty() {
let expected_dims = &shape_constraints.dimensions;
if shape.len() != expected_dims.len() {
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: format!(
"Array has {} dimensions, expected {}",
shape.len(),
expected_dims.len()
),
expected: Some(format!("{} dimensions", expected_dims.len())),
actual: Some(format!("{} dimensions", shape.len())),
constraint: Some("shape.dimensions".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
} else {
// Check each dimension
for (idx, (actual_dim, expected_dim)) in
shape.iter().zip(expected_dims.iter()).enumerate()
{
if let Some(expected) = expected_dim {
if actual_dim != expected {
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: format!(
"Dimension {} has size {}, expected {}",
idx, actual_dim, expected
),
expected: Some(format!(
"dimension {} = {}",
idx, expected
)),
actual: Some(format!(
"dimension {} = {}",
idx, actual_dim
)),
constraint: Some(format!(
"shape.dimension[{}]",
idx
)),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
}
}
}
// Check total element count
let total_elements: usize = shape.iter().product();
if let Some(min_elements) = shape_constraints.min_elements {
if total_elements < min_elements {
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: format!(
"Array has {} elements, minimum required is {}",
total_elements, min_elements
),
expected: Some(format!(">= {} elements", min_elements)),
actual: Some(format!("{} elements", total_elements)),
constraint: Some("shape.min_elements".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
if let Some(max_elements) = shape_constraints.max_elements {
if total_elements > max_elements {
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: format!(
"Array has {} elements, maximum allowed is {}",
total_elements, max_elements
),
expected: Some(format!("<= {} elements", max_elements)),
actual: Some(format!("{} elements", total_elements)),
constraint: Some("shape.max_elements".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
// Check if square matrix is required (only for 2D arrays)
if shape_constraints.require_square
&& shape.len() == 2
&& shape[0] != shape[1]
{
errors.push(ValidationError {
errortype: ValidationErrorType::ShapeError,
fieldpath: fieldpath.to_string(),
message: format!(
"Matrix must be square, but has shape {}x{}",
shape[0], shape[1]
),
expected: Some("square matrix".to_string()),
actual: Some(format!("{}x{} matrix", shape[0], shape[1])),
constraint: Some("shape.square".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
} else {
errors.push(ValidationError {
errortype: ValidationErrorType::TypeMismatch,
fieldpath: fieldpath.to_string(),
message: "Shape constraints require an array".to_string(),
expected: Some("array".to_string()),
actual: Some(format!("{value}")),
constraint: Some("shape".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::And(constraints) => {
// All constraints must pass
for constraint in constraints {
self.validate_field_constraints(
value,
std::slice::from_ref(constraint),
fieldpath,
errors,
warnings,
stats,
)?;
}
}
Constraint::Or(constraints) => {
// At least one constraint must pass
let mut temperrors = Vec::new();
let mut any_passed = false;
for constraint in constraints {
let mut constrainterrors = Vec::new();
let mut constraintwarnings = Vec::new();
self.validate_field_constraints(
value,
std::slice::from_ref(constraint),
fieldpath,
&mut constrainterrors,
&mut constraintwarnings,
stats,
)?;
if constrainterrors.is_empty() {
any_passed = true;
break;
} else {
temperrors.extend(constrainterrors);
}
}
if !any_passed {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: format!(
"None of the OR constraints passed: {} errors",
temperrors.len()
),
expected: Some("at least one constraint to pass".to_string()),
actual: Some("all constraints failed".to_string()),
constraint: Some("or".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::Not(constraint) => {
// Constraint must not pass
let mut temperrors = Vec::new();
let mut temp_warnings = Vec::new();
self.validate_field_constraints(
value,
&[*constraint.clone()],
fieldpath,
&mut temperrors,
&mut temp_warnings,
stats,
)?;
if temperrors.is_empty() {
errors.push(ValidationError {
errortype: ValidationErrorType::ConstraintViolation,
fieldpath: fieldpath.to_string(),
message: "NOT constraint failed: inner constraint passed".to_string(),
expected: Some("constraint to fail".to_string()),
actual: Some("constraint passed".to_string()),
constraint: Some("not".to_string()),
severity: ErrorSeverity::Error,
context: HashMap::new(),
});
}
}
Constraint::If {
condition,
then_constraint,
else_constraint,
} => {
// Conditional constraint
let mut conditionerrors = Vec::new();
let mut condition_warnings = Vec::new();
self.validate_field_constraints(
value,
&[*condition.clone()],
fieldpath,
&mut conditionerrors,
&mut condition_warnings,
stats,
)?;
if conditionerrors.is_empty() {
// Condition passed, apply then_constraint
self.validate_field_constraints(
value,
&[*then_constraint.clone()],
fieldpath,
errors,
warnings,
stats,
)?;
} else if let Some(else_constraint) = else_constraint {
// Condition failed, apply else_constraint
self.validate_field_constraints(
value,
&[*else_constraint.clone()],
fieldpath,
errors,
warnings,
stats,
)?;
}
}
}
}
Ok(())
}
/// Validate global constraints
#[allow(clippy::ptr_arg)]
fn validate_global_constraints(
&self,
data: &JsonValue,
schema: &ValidationSchema,
errors: &mut Vec<ValidationError>,
warnings: &mut Vec<ValidationError>,
stats: &mut ValidationStats,
) -> Result<(), CoreError> {
// Global constraints would be implemented here
Ok(())
}
/// Check for additional fields
#[allow(clippy::ptr_arg)]
fn check_additional_fields(
&self,
data: &JsonValue,
schema: &ValidationSchema,
errors: &mut Vec<ValidationError>,
warnings: &mut Vec<ValidationError>,
) -> Result<(), CoreError> {
if let JsonValue::Object(obj) = data {
for key in obj.keys() {
if !schema.fields.contains_key(key) {
errors.push(ValidationError {
errortype: ValidationErrorType::SchemaError,
fieldpath: key.clone(),
message: format!("Additional field '{}' not allowed", key),
expected: None,
actual: Some(key.clone()),
constraint: None,
severity: ErrorSeverity::Warning,
context: HashMap::new(),
});
}
}
}
Ok(())
}
/// Get the type name for a JSON value
fn get_value_type_name(&self, value: &JsonValue) -> String {
match value {
JsonValue::Null => "null".to_string(),
JsonValue::Bool(_) => "boolean".to_string(),
JsonValue::Number(n) => {
if n.is_i64() {
"integer".to_string()
} else {
"number".to_string()
}
}
JsonValue::String(_) => "string".to_string(),
JsonValue::Array(_) => "array".to_string(),
JsonValue::Object(_) => "object".to_string(),
}
}
/// Generate cache key for validation result
fn generate_cachekey(
&self,
data: &JsonValue,
schema: &ValidationSchema,
) -> Result<String, CoreError> {
let mut hasher = DefaultHasher::new();
data.to_string().hash(&mut hasher);
schema.name.hash(&mut hasher);
schema.version.hash(&mut hasher);
Ok(format!("{:x}", hasher.finish()))
}
/// Get cached validation result
fn get_cached_result(&self, cachekey: &str) -> Result<Option<ValidationResult>, CoreError> {
let cache = self.cache.read().map_err(|_| {
CoreError::ComputationError(ErrorContext::new(
"Failed to acquire cache read lock".to_string(),
))
})?;
if let Some(entry) = cache.get(cachekey) {
// Check if cache entry is still valid (for now, always valid)
return Ok(Some(entry.result.clone()));
}
Ok(None)
}
/// Cache validation result
fn cache_result(&self, cachekey: &str, result: ValidationResult) -> Result<(), CoreError> {
let mut cache = self.cache.write().map_err(|_| {
CoreError::ComputationError(ErrorContext::new(
"Failed to acquire cache write lock".to_string(),
))
})?;
// Remove oldest entries if cache is full
if cache.len() >= self.config.cache_size_limit {
if let Some((oldest_key, _)) = cache
.iter()
.min_by_key(|(_, entry)| entry.timestamp)
.map(|(k, v)| (k.clone(), v.clone()))
{
cache.remove(&oldest_key);
}
}
let entry = CacheEntry {
result,
timestamp: Instant::now(),
hit_count: 0,
};
cache.insert(cachekey.to_string(), entry);
Ok(())
}
/// Calculate cache hit rate
fn calculate_cache_hit_rate(&self) -> Result<f64, CoreError> {
let cache = self.cache.read().map_err(|_| {
CoreError::ComputationError(ErrorContext::new(
"Failed to acquire cache read lock".to_string(),
))
})?;
if cache.is_empty() {
return Ok(0.0);
}
let total_hits: usize = cache.values().map(|entry| entry.hit_count).sum();
let total_entries = cache.len();
Ok(total_hits as f64 / total_entries as f64)
}
}
impl Default for Validator {
fn default() -> Self {
Self::new(ValidationConfig::default()).expect("Operation failed")
}
}
#[cfg(test)]
#[path = "validator_tests.rs"]
mod tests;