41c676a78e
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>
122 lines
4.8 KiB
Markdown
122 lines
4.8 KiB
Markdown
# Consumer Health UAT Scenarios
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User Acceptance Testing for the Ontology Layer + Medical Vertical.
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## Prerequisites
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1. StemeDB running: `cargo run -p stemedb-api`
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2. Ontology crate built: `cargo build -p stemedb-ontology`
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3. Pharma CLI available: `cargo build --bin pharma-ingest`
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## Week 4 Milestone: Automated UAT Infrastructure
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**Status:** ✅ **VERIFIED** - All Scenarios Passing (2026-02-05)
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**Verification Results:**
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```
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╔══════════════════════════════════════════════════════════════╗
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║ Consumer Health UAT - Week 4 Validation ║
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╚══════════════════════════════════════════════════════════════╝
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✓ GLP-1 Muscle Loss Contradiction - PASS
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✓ Gastroparesis Multi-Source - PASS
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✓ Layered Consensus - PASS
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✓ Time Travel Query - SKIP (deferred)
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╔══════════════════════════════════════════════════════════════╗
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║ Results: 4 passed, 0 failed, 0 skipped
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╚══════════════════════════════════════════════════════════════╝
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```
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**Deliverables:**
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- **Integration Test Suite:** `crates/stemedb-ontology/tests/consumer_health_uat.rs`
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- Real Ed25519 v1 signing (not dummy signatures)
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- 4 automated UAT scenarios
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- ~17 seconds end-to-end runtime
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- **API Readiness Validator:** `validate_api_readiness.sh`
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- **Execution Plan:** [WEEK4_EXECUTION_PLAN.md](./WEEK4_EXECUTION_PLAN.md)
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### Quick Start (Automated Testing)
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```bash
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# 1. Start API with fresh database
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rm -rf data/ && cargo run -p stemedb-api &
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sleep 5
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# 2. Run all automated UAT scenarios
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STEMEDB_API_URL=http://localhost:18180 cargo test --test consumer_health_uat run_all_uat_scenarios -- --ignored --nocapture
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# 3. Run individual scenario
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STEMEDB_API_URL=http://localhost:18180 cargo test --test consumer_health_uat uat_glp1_muscle_loss_contradiction -- --ignored --nocapture
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```
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See [WEEK4_EXECUTION_PLAN.md](./WEEK4_EXECUTION_PLAN.md) for detailed execution instructions.
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## Scenario Overview
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### GLP-1 Living Systematic Review Scenarios
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| Scenario | File | Tests |
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|----------|------|-------|
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| Muscle Loss Contradiction | `glp1-muscle-loss-contradiction.md` | Skeptic Lens conflict detection |
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| FDA Label Paradigm Shift | `glp1-fda-label-paradigm-shift.md` | Epoch supersession O(1) |
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| Pre-print vs Peer Review | `glp1-preprint-vs-peer-review.md` | Multi-sig weighting |
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| Semantic Decay | `glp1-semantic-decay.md` | 73-day half-life |
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| Visual Anchoring | `glp1-visual-anchoring.md` | pHash validation |
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### Consumer Health Intelligence Scenarios
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| Scenario | File | Tests |
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|----------|------|-------|
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| Gastroparesis Multi-Source | `gastroparesis-multi-source.md` | Source-class hierarchy |
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| Anecdotal Signal Precedence | `anecdotal-signal-precedence.md` | Cluster escalation |
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| Guidance Change Propagation | `guidance-change-propagation.md` | "What changed since?" |
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| Layered Consensus | `layered-consensus.md` | Per-tier positions |
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| Time Travel Query | `time-travel-query.md` | as_of snapshot |
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| Disagreement Dashboard | `disagreement-dashboard.md` | Resolved/Active/Emerging |
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## Running Scenarios
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Each scenario file contains:
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1. **Scenario description** - What we're testing
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2. **Test matrix** - Expected vs actual results
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3. **Commands** - Exact curl/CLI commands to run
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4. **Sign-off checklist** - Manual verification points
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### Example Workflow
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```bash
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# 1. Start StemeDB
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cargo run --bin stemedb-api &
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# 2. Run a scenario
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# Follow commands in glp1-muscle-loss-contradiction.md
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# 3. Record results
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# Update the test matrix with actual values
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# 4. Archive results
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cp glp1-muscle-loss-contradiction.md results/2024-XX-XX-muscle-loss.md
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```
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## Weekly Execution Schedule
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| Week | Scenarios | Why |
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|------|-----------|-----|
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| 1 | (none) | Building domain definition |
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| 2 | (none) | Building extractor |
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| 3 | `glp1-muscle-loss-contradiction` | First conflict demo |
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| 4 | `gastroparesis-multi-source`, `layered-consensus` | Source hierarchy |
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| 5 | `glp1-fda-label-paradigm-shift` | Epochs |
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| 6 | Full suite | Integration validation |
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## Success Criteria
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From **GLP-1 Living Review**:
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- Query `muscle_sparing_effect` with Skeptic lens returns `conflict_score > 0.5`
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- Epoch supersession invalidates assertions O(1), not O(N)
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- Multi-sig: Lancet reviewer signature has higher weight
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From **Consumer Health Intelligence**:
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- Tier 0 (FDA) wins over 100x Tier 5 (Reddit) volume
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- `lens=layered-consensus` returns per-tier positions
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- Source-aware decay: NEJM 8mo old ~0.87 effective; Reddit 26mo old expired
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