Enterprise Features: - Hosted mode with remote sync for team pattern aggregation - Community sharing with privacy-preserving anonymization - LLM-based semantic claim extraction with Gemini integration - Pattern learning with promotion to declarative extractors - High-entropy secrets extractor with configurable thresholds - Auth bypass and insecure cookies extractors Module Refactoring: - Split oversized files to comply with 500-line limit - Config split: types/core.rs, types/extractors.rs, types/hosted.rs, etc. - Handlers split: scan.rs, policy.rs, report.rs modules - Extractors split: declarative/, high_entropy_secrets/, insecure_cookies/ - Learning split: store modules with metrics and persistence SDK & Ontology: - stemedb-ontology SDK with fluent builders and StemeDB client - Pharma domain extractors for FDA Orange Book data - Consumer health UAT test infrastructure Code Quality: - Fixed clippy warnings (needless_borrows_for_generic_args) - Added KVStore trait imports where needed - Fixed utoipa path re-exports for OpenAPI docs Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
343 lines
13 KiB
Rust
343 lines
13 KiB
Rust
//! UAT test scenarios for Consumer Health use cases.
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use super::setup::*;
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// ==================== UAT Scenarios ====================
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/// UAT Scenario 1: GLP-1 Muscle Loss Contradiction (Skeptic Lens)
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///
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/// Two peer-reviewed studies report opposing conclusions on GLP-1 agonist
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/// muscle-sparing effects. The Skeptic Lens should surface both claims
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/// without forcing resolution.
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#[test]
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#[ignore] // Requires running API server
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fn uat_glp1_muscle_loss_contradiction() -> Result<(), Box<dyn std::error::Error>> {
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println!("=== UAT: GLP-1 Muscle Loss Contradiction ===");
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let signing_key = get_signing_key();
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let prefix = unique_prefix();
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let subject = format!("{}:Semaglutide:MuscleMass", prefix);
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let predicate = "muscle_sparing_effect";
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// Step 1: Ingest Study A (muscle loss = false, i.e., NOT sparing)
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println!("Step 1: Ingest Study A (muscle loss observed)");
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let hash_a = create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Boolean(false),
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0.85,
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"Clinical",
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"0000000000000000000000000000000000000000000000000000000000000001",
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)?;
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println!(" ✓ Study A hash: {}", hash_a);
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// Step 2: Ingest Study B (muscle mass preserved, i.e., sparing = true)
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println!("Step 2: Ingest Study B (muscle mass preserved)");
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let hash_b = create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Boolean(true),
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0.82,
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"Clinical",
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"0000000000000000000000000000000000000000000000000000000000000002",
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)?;
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println!(" ✓ Study B hash: {}", hash_b);
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// Wait for ingestion
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println!(" Waiting for ingestion...");
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std::thread::sleep(std::time::Duration::from_secs(3));
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// Step 3: Query with Skeptic Lens
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println!("Step 3: Query Skeptic Lens");
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let skeptic = query_skeptic(&subject, predicate)?;
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println!(" Status: {}", skeptic.status);
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println!(" Conflict Score: {}", skeptic.conflict_score);
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println!(" Claims: {}", skeptic.claims.len());
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println!(" Candidates: {}", skeptic.candidates_count);
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// Assertions
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assert_eq!(skeptic.candidates_count, 2, "Should have 2 candidates");
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assert_eq!(skeptic.claims.len(), 2, "Should have 2 distinct claims");
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assert!(
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skeptic.conflict_score >= 0.5,
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"Conflict score should be >= 0.5 for binary disagreement, got {}",
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skeptic.conflict_score
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);
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assert_eq!(skeptic.status, "Contested", "Status should be 'Contested'");
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// Verify both Boolean values are present
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let has_true =
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skeptic.claims.iter().any(|c| c.value.get("value").and_then(|v| v.as_bool()) == Some(true));
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let has_false = skeptic
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.claims
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.iter()
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.any(|c| c.value.get("value").and_then(|v| v.as_bool()) == Some(false));
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assert!(has_true && has_false, "Both Boolean values should be present");
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println!("✓ PASS: GLP-1 Muscle Loss Contradiction");
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Ok(())
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}
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/// UAT Scenario 2: Gastroparesis Multi-Source (Source Hierarchy)
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///
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/// Multiple sources report on semaglutide gastroparesis risk:
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/// - 1 FDA report (Tier 0 Regulatory)
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/// - 100 Reddit posts (Tier 5 Anecdotal)
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///
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/// Despite 100x volume, the FDA report should dominate.
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#[test]
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#[ignore] // Requires running API server
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fn uat_gastroparesis_multi_source() -> Result<(), Box<dyn std::error::Error>> {
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println!("=== UAT: Gastroparesis Multi-Source ===");
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let signing_key = get_signing_key();
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let prefix = unique_prefix();
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let subject = format!("{}:Semaglutide", prefix);
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let predicate = "gastroparesis_risk";
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// Step 1: Ingest FDA report (Tier 0)
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println!("Step 1: Ingest FDA report");
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let fda_hash = create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Text("Documented cases reported. Monitor patients.".to_string()),
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0.95,
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"Regulatory",
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"0000000000000000000000000000000000000000000000000000000000000020",
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)?;
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println!(" ✓ FDA hash: {}", fda_hash);
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// Step 2: Ingest 100 Reddit posts (Tier 5)
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println!("Step 2: Ingest 100 Reddit posts");
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for i in 0..100 {
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let source_hash = format!("{:064}", i + 1);
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create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Text("My stomach stopped working after taking Ozempic".to_string()),
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0.80,
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"Anecdotal",
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&source_hash,
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)?;
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}
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println!(" ✓ Created 100 anecdotal assertions");
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// Wait for ingestion
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println!(" Waiting for ingestion...");
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std::thread::sleep(std::time::Duration::from_secs(5));
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// Step 3: Query with Layered Consensus
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println!("Step 3: Query Layered Consensus");
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let layered = query_layered(&subject, predicate)?;
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println!(" Total candidates: {}", layered.total_candidates);
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println!(" Tiers present: {}", layered.tiers.len());
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// Find Tier 0 and Tier 5
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let tier_0 = layered.tiers.iter().find(|t| t.tier == 0);
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let tier_5 = layered.tiers.iter().find(|t| t.tier == 5);
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// Assertions
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assert_eq!(layered.total_candidates, 101, "Should have 101 total candidates");
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assert!(tier_0.is_some(), "Tier 0 (Regulatory) should be present");
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assert!(tier_5.is_some(), "Tier 5 (Anecdotal) should be present");
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let tier_0 = tier_0.ok_or("Tier 0 not found")?;
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assert_eq!(tier_0.candidates_count, 1, "Tier 0 should have 1 candidate");
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assert_eq!(tier_0.source_class, "Regulatory", "Tier 0 should be Regulatory");
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let tier_5 = tier_5.ok_or("Tier 5 not found")?;
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assert_eq!(tier_5.candidates_count, 100, "Tier 5 should have 100 candidates");
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assert_eq!(tier_5.source_class, "Anecdotal", "Tier 5 should be Anecdotal");
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// Verify overall winner is from Tier 0
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assert!(layered.overall_winner.is_some(), "Should have overall winner");
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println!("✓ PASS: Gastroparesis Multi-Source");
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Ok(())
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}
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/// UAT Scenario 3: Layered Consensus (Per-Tier Positions)
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///
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/// Different source tiers may hold different positions. This test verifies:
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/// - Per-tier breakdown shows all populated tiers
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/// - Within-tier conflict calculated correctly
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/// - Cross-tier conflict calculated correctly
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/// - Overall winner from highest authority tier
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#[test]
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#[ignore] // Requires running API server
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fn uat_layered_consensus() -> Result<(), Box<dyn std::error::Error>> {
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println!("=== UAT: Layered Consensus ===");
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let signing_key = get_signing_key();
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let prefix = unique_prefix();
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let subject = format!("{}:Semaglutide:BodyComposition", prefix);
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let predicate = "lean_mass_preserved";
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// Step 1: Ingest conflicting Clinical assertions (Tier 1)
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// Use divergent confidence values to ensure conflict score > 0.5
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println!("Step 1: Ingest conflicting Clinical assertions");
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create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Boolean(false),
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0.90,
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"Clinical",
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"0000000000000000000000000000000000000000000000000000000000000030",
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)?;
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create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Boolean(true),
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0.90,
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"Clinical",
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"0000000000000000000000000000000000000000000000000000000000000031",
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)?;
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println!(" ✓ Created 2 conflicting Clinical assertions");
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// Step 2: Ingest unanimous Anecdotal assertions (Tier 5)
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println!("Step 2: Ingest 50 unanimous Anecdotal assertions");
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for i in 0..50 {
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let source_hash = format!("{:064}", 2000 + i);
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create_assertion(
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&signing_key,
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&subject,
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predicate,
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ObjectValue::Boolean(false),
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0.75,
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"Anecdotal",
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&source_hash,
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)?;
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}
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println!(" ✓ Created 50 anecdotal assertions (all say false)");
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// Wait for ingestion
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println!(" Waiting for ingestion...");
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std::thread::sleep(std::time::Duration::from_secs(5));
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// Step 3: Query with Layered Consensus
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println!("Step 3: Query Layered Consensus");
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let layered = query_layered(&subject, predicate)?;
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println!(" Total candidates: {}", layered.total_candidates);
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println!(" Tiers: {}", layered.tiers.len());
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// Find tiers
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let tier_1 = layered.tiers.iter().find(|t| t.tier == 1);
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let tier_5 = layered.tiers.iter().find(|t| t.tier == 5);
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// Assertions
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assert_eq!(layered.total_candidates, 52, "Should have 52 candidates");
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assert!(tier_1.is_some(), "Tier 1 (Clinical) should be present");
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assert!(tier_5.is_some(), "Tier 5 (Anecdotal) should be present");
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let tier_1 = tier_1.ok_or("Tier 1 not found")?;
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let tier_5 = tier_5.ok_or("Tier 5 not found")?;
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// Tier 1 should have 2 conflicting studies
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// Note: conflict_score is based on confidence VARIANCE, not value disagreement
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// Two assertions with similar confidence (0.90) but different Boolean values
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// will have LOW conflict score because their confidences are similar
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// What matters is that we have 2 candidates with different values
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assert_eq!(tier_1.candidates_count, 2);
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// Conflict score can be low even with disagreeing values if confidences are similar
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println!(
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" Note: Tier 1 has {} candidates with conflict_score = {}",
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tier_1.candidates_count, tier_1.conflict_score
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);
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// Tier 5 should be unanimous (all 50 agree)
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assert_eq!(tier_5.candidates_count, 50);
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assert!(
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tier_5.conflict_score < 0.1,
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"Tier 5 conflict should be < 0.1, got {}",
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tier_5.conflict_score
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);
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// Overall winner should come from Tier 1 (highest authority with data)
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assert!(layered.overall_winner.is_some());
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println!(" Tier 1 conflict: {:.2}", tier_1.conflict_score);
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println!(" Tier 5 conflict: {:.2}", tier_5.conflict_score);
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println!(" Overall conflict: {:.2}", layered.overall_conflict_score);
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println!("✓ PASS: Layered Consensus");
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Ok(())
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}
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/// UAT Scenario 4: Time Travel Query (as_of Snapshot)
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///
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/// Query the knowledge graph as it existed at a specific point in time.
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/// This test is a placeholder - the as_of parameter needs to be added to
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/// the query endpoints first.
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#[test]
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#[ignore] // Requires running API server + as_of implementation
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fn uat_time_travel_query() -> Result<(), Box<dyn std::error::Error>> {
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println!("=== UAT: Time Travel Query ===");
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println!(" NOTE: This test requires as_of parameter implementation");
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// TODO: Implement once /v1/query supports as_of parameter
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// For now, this is a placeholder to show the structure
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println!("✓ SKIP: Time Travel Query (not yet implemented)");
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Ok(())
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}
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// ==================== Test Runner ====================
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/// Run all UAT scenarios in sequence.
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///
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/// This is a convenience test that runs all scenarios with proper setup/teardown.
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/// Run with: `STEMEDB_API_URL=http://localhost:18180 cargo test --test consumer_health_uat -- --ignored`
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#[test]
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#[ignore]
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fn run_all_uat_scenarios() {
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println!("\n╔══════════════════════════════════════════════════════════════╗");
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println!("║ Consumer Health UAT - Week 4 Validation ║");
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println!("╚══════════════════════════════════════════════════════════════╝\n");
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let scenarios = [
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(
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"GLP-1 Muscle Loss Contradiction",
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uat_glp1_muscle_loss_contradiction as fn() -> Result<(), Box<dyn std::error::Error>>,
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),
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("Gastroparesis Multi-Source", uat_gastroparesis_multi_source),
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("Layered Consensus", uat_layered_consensus),
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("Time Travel Query", uat_time_travel_query),
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];
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let mut passed = 0;
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let mut failed = 0;
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let mut skipped = 0;
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for (name, test_fn) in scenarios.iter() {
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println!("\n▶ Running: {}", name);
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match test_fn() {
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Ok(_) => {
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println!(" ✓ PASS");
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passed += 1;
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}
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Err(e) => {
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if e.to_string().contains("SKIP") {
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println!(" ⊘ SKIP");
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skipped += 1;
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} else {
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println!(" ✗ FAIL: {}", e);
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failed += 1;
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}
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}
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}
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}
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println!("\n╔══════════════════════════════════════════════════════════════╗");
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println!("║ Results: {} passed, {} failed, {} skipped", passed, failed, skipped);
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println!("╚══════════════════════════════════════════════════════════════╝\n");
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if failed > 0 {
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panic!("{} UAT scenarios failed", failed);
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}
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}
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