Major additions: - Staged scanning modes (working tree, staged, committed) with git integration - Drift detection for baseline vs current state comparisons - Hosted API handlers for policy CRUD operations via StemeDB API - stemedb-ontology crate with domain definitions and medical extractors - Consumer health vertical UAT scenarios (GLP-1, gastroparesis, etc.) - Aphoria development skill documentation Code organization: - Split large files into focused modules to stay under 500-line limit - Extracted config tests, episteme helpers/drift/aliases, API helpers Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
333 lines
11 KiB
Rust
333 lines
11 KiB
Rust
//! Claim validation against domain schemas.
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//!
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//! Validates that claims conform to the domain ontology before ingestion.
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use std::collections::HashMap;
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use thiserror::Error;
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use crate::domain::{Domain, PredicateSchema};
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/// Errors that can occur during claim validation.
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#[derive(Debug, Error)]
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pub enum ValidationError {
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/// The predicate is not defined in the domain.
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#[error("Unknown predicate: '{0}' not in domain '{1}'")]
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UnknownPredicate(String, String),
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/// The subject doesn't match the expected pattern.
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#[error("Subject '{subject}' doesn't match pattern '{pattern}' for predicate '{predicate}'")]
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SubjectMismatch {
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/// The actual subject string.
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subject: String,
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/// The expected pattern.
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pattern: String,
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/// The predicate name.
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predicate: String,
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},
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/// A required entity is missing from the subject.
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#[error("Subject missing required entity '{entity}' for predicate '{predicate}'")]
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MissingEntity {
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/// The missing entity name.
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entity: String,
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/// The predicate name.
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predicate: String,
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},
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/// The confidence score is out of range.
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#[error("Confidence {0} out of range [0.0, 1.0]")]
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ConfidenceOutOfRange(f32),
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/// The object value type doesn't match expected type.
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#[error("Object type mismatch: expected {expected}, got {actual}")]
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ObjectTypeMismatch {
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/// The expected type.
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expected: String,
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/// The actual type received.
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actual: String,
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},
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/// Multiple validation errors occurred.
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#[error("Multiple validation errors: {}", .0.join("; "))]
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Multiple(Vec<String>),
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}
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/// Validator for claims against a domain ontology.
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#[derive(Debug)]
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pub struct Validator<'a> {
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domain: &'a Domain,
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strict_mode: bool,
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}
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impl<'a> Validator<'a> {
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/// Create a new validator for the given domain.
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pub fn new(domain: &'a Domain) -> Self {
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Self { domain, strict_mode: false }
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}
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/// Enable strict mode (unknown predicates are errors instead of warnings).
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pub fn strict(mut self) -> Self {
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self.strict_mode = true;
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self
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}
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/// Validate a claim's predicate and subject against the domain.
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///
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/// # Arguments
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///
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/// * `predicate` - The predicate name
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/// * `subject` - The subject string
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/// * `confidence` - The confidence score (0.0 to 1.0)
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///
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/// # Returns
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///
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/// Ok if valid, or a ValidationError describing what's wrong.
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pub fn validate(
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&self,
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predicate: &str,
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subject: &str,
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confidence: f32,
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) -> Result<(), ValidationError> {
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// Validate confidence first
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if !(0.0..=1.0).contains(&confidence) {
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return Err(ValidationError::ConfidenceOutOfRange(confidence));
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}
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// Find the schema for this predicate
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let schema = match self.domain.schema_for_predicate(predicate) {
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Some(s) => s,
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None if self.strict_mode => {
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return Err(ValidationError::UnknownPredicate(
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predicate.to_string(),
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self.domain.name.clone(),
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));
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}
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None => {
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// Non-strict: warn but allow
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tracing::warn!(
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predicate = predicate,
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domain = self.domain.name,
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"Unknown predicate, skipping subject validation"
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);
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return Ok(());
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}
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};
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// Validate subject matches pattern
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self.validate_subject(subject, schema, predicate)
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}
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/// Validate just the subject against a schema.
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fn validate_subject(
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&self,
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subject: &str,
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schema: &PredicateSchema,
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predicate: &str,
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) -> Result<(), ValidationError> {
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// Count separators in subject
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let subject_parts: Vec<&str> = subject.split(':').collect();
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let expected_parts = schema.required_entities.len();
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if subject_parts.len() != expected_parts {
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return Err(ValidationError::SubjectMismatch {
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subject: subject.to_string(),
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pattern: schema.subject_pattern.clone(),
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predicate: predicate.to_string(),
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});
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}
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// Check for empty parts
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for (i, part) in subject_parts.iter().enumerate() {
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if part.is_empty() {
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return Err(ValidationError::MissingEntity {
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entity: schema
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.required_entities
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.get(i)
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.cloned()
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.unwrap_or_else(|| format!("part_{}", i)),
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predicate: predicate.to_string(),
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});
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}
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}
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Ok(())
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}
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/// Validate a batch of claims.
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///
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/// Returns a map of claim index to validation error.
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pub fn validate_batch(
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&self,
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claims: &[(String, String, f32)], // (predicate, subject, confidence)
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) -> HashMap<usize, ValidationError> {
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let mut errors = HashMap::new();
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for (i, (predicate, subject, confidence)) in claims.iter().enumerate() {
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if let Err(e) = self.validate(predicate, subject, *confidence) {
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errors.insert(i, e);
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}
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}
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errors
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}
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/// Check if a predicate is known in the domain.
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pub fn is_known_predicate(&self, predicate: &str) -> bool {
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self.domain.schema_for_predicate(predicate).is_some()
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}
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/// Get the expected subject pattern for a predicate.
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pub fn expected_pattern(&self, predicate: &str) -> Option<&str> {
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self.domain.schema_for_predicate(predicate).map(|s| s.subject_pattern.as_str())
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::domain::{Domain, EntityType, PredicateSchema};
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fn test_domain() -> Domain {
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Domain::new("Pharma", "Test pharmaceutical domain")
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.with_entity_type("Drug", EntityType::required("A pharmaceutical compound"))
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.with_entity_type("Indication", EntityType::required("A medical condition"))
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.with_predicate_schema(
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"efficacy",
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PredicateSchema::new("Efficacy predicates", "{Drug}:{Indication}")
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.with_predicates(vec!["hba1c_reduction", "weight_loss"]),
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)
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.with_predicate_schema(
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"safety",
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PredicateSchema::new("Safety predicates", "{Drug}")
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.with_predicates(vec!["has_boxed_warning", "adverse_event_rate"]),
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)
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}
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#[test]
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fn test_valid_efficacy_claim() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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let result = validator.validate("hba1c_reduction", "Semaglutide:Type2Diabetes", 0.95);
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assert!(result.is_ok());
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}
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#[test]
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fn test_valid_safety_claim() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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let result = validator.validate("has_boxed_warning", "Semaglutide", 0.99);
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assert!(result.is_ok());
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}
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#[test]
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fn test_subject_mismatch_too_few_parts() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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// Efficacy requires Drug:Indication, but we only provided Drug
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let result = validator.validate("hba1c_reduction", "Semaglutide", 0.95);
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assert!(result.is_err());
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assert!(matches!(result.unwrap_err(), ValidationError::SubjectMismatch { .. }));
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}
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#[test]
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fn test_subject_mismatch_too_many_parts() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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// Safety requires just Drug, but we provided Drug:Indication
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let result = validator.validate("has_boxed_warning", "Semaglutide:T2D", 0.95);
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assert!(result.is_err());
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}
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#[test]
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fn test_confidence_out_of_range_high() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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let result = validator.validate("has_boxed_warning", "Semaglutide", 1.5);
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assert!(result.is_err());
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assert!(matches!(result.unwrap_err(), ValidationError::ConfidenceOutOfRange(_)));
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}
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#[test]
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fn test_confidence_out_of_range_negative() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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let result = validator.validate("has_boxed_warning", "Semaglutide", -0.1);
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assert!(result.is_err());
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}
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#[test]
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fn test_unknown_predicate_strict() {
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let domain = test_domain();
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let validator = Validator::new(&domain).strict();
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let result = validator.validate("unknown_predicate", "Semaglutide", 0.5);
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assert!(result.is_err());
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assert!(matches!(result.unwrap_err(), ValidationError::UnknownPredicate(_, _)));
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}
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#[test]
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fn test_unknown_predicate_nonstrict() {
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let domain = test_domain();
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let validator = Validator::new(&domain); // non-strict
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// Should pass even with unknown predicate
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let result = validator.validate("unknown_predicate", "Semaglutide", 0.5);
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assert!(result.is_ok());
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}
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#[test]
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fn test_empty_subject_part() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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// Empty indication part
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let result = validator.validate("hba1c_reduction", "Semaglutide:", 0.95);
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assert!(result.is_err());
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assert!(matches!(result.unwrap_err(), ValidationError::MissingEntity { .. }));
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}
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#[test]
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fn test_validate_batch() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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let claims = vec![
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("hba1c_reduction".to_string(), "Semaglutide:T2D".to_string(), 0.95),
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("has_boxed_warning".to_string(), "Semaglutide".to_string(), 0.99),
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("hba1c_reduction".to_string(), "BadSubject".to_string(), 0.5), // Will fail
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("has_boxed_warning".to_string(), "Drug".to_string(), 1.5), // Confidence will fail
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];
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let errors = validator.validate_batch(&claims);
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assert_eq!(errors.len(), 2); // Claims 2 and 3 should fail
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assert!(errors.contains_key(&2));
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assert!(errors.contains_key(&3));
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}
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#[test]
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fn test_is_known_predicate() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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assert!(validator.is_known_predicate("hba1c_reduction"));
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assert!(validator.is_known_predicate("has_boxed_warning"));
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assert!(!validator.is_known_predicate("unknown"));
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}
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#[test]
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fn test_expected_pattern() {
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let domain = test_domain();
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let validator = Validator::new(&domain);
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assert_eq!(validator.expected_pattern("hba1c_reduction"), Some("{Drug}:{Indication}"));
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assert_eq!(validator.expected_pattern("has_boxed_warning"), Some("{Drug}"));
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assert_eq!(validator.expected_pattern("unknown"), None);
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}
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}
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