stemedb/applications/aphoria/tests/scale_adaptive_test.rs
jml bb0c33f8d3 fix(api): enable querying of CLI-created community corpus items
## Problem
CLI-created community corpus items (tier 3) were stored correctly but
invisible via API queries. Two issues blocked discoverability:

1. **Prefix mismatch**: API hardcoded 'community://pattern/' for
   aggregated patterns, but CLI creates 'community://rust/http/...' URIs
2. **Query parameter parsing**: Axum's default parser doesn't support
   bracket notation (?sources[]=value) used by the dashboard

Result: 0/22 CLI-created items were queryable.

## Solution

### Fix 1: Broaden Community Prefix
- Changed: 'community://pattern/' → 'community://' in corpus handler
- Impact: Now matches both aggregated patterns AND CLI-created items
- Backward compatible: Broader prefix includes narrower results

### Fix 2: Add QsQuery Extractor
- Added: serde_qs dependency + custom QsQuery extractor
- Supports: Bracket notation for array parameters (?sources[]=a&sources[]=b)
- Compatible: Works with JavaScript URLSearchParams standard
- Tested: 3 new unit tests for extractor behavior

## Verification
-  All 22 CLI-created community items now queryable (was 0)
-  Source filtering works: community (22), RFC (2), vendor (5)
-  Multi-source queries work: ?sources[]=community&sources[]=rfc → 24
-  All 89 API tests pass + 3 new extractor tests
-  Clippy clean (0 warnings)
-  No regressions in existing functionality

## Files Changed
- crates/stemedb-api/Cargo.toml: Add serde_qs dependency
- crates/stemedb-api/src/extractors.rs: New QsQuery extractor (117 lines)
- crates/stemedb-api/src/handlers/aphoria/corpus.rs: Use QsQuery, broaden prefix
- crates/stemedb-api/src/lib.rs: Export extractors module

Also includes: Scale-adaptive thresholds, wiki corpus extraction,
documentation updates, and dashboard UI improvements from prior work.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-09 15:54:35 +00:00

141 lines
4.7 KiB
Rust

//! Integration tests for scale-adaptive promotion thresholds.
//!
//! Verifies that promotion criteria automatically adjust based on organization size,
//! enabling small teams to see value immediately while maintaining quality gates
//! for larger organizations.
use aphoria::corpus::thresholds::{PromotionDecision, ScaleAdaptiveThresholds, ScaleTier};
use stemedb_core::types::SourceClass;
#[test]
fn test_micro_team_sees_patterns() {
let thresholds = ScaleAdaptiveThresholds::default();
// Micro team with 3 projects, pattern appears in 2
let decision = thresholds.evaluate(
2, // project_count
3, // total_projects
false, // no authority
None,
);
// With adaptive thresholds:
// - Scale tier: Micro (1-5 projects)
// - Emerging min_projects: max(2, 0.50*3) = max(2, 1.5) = 2
// - Adoption rate: 2/3 = 67% >= 50%
// Should require review (emerging tier)
assert_eq!(decision, PromotionDecision::RequireReview);
}
#[test]
fn test_micro_team_regulatory_disabled() {
let thresholds = ScaleAdaptiveThresholds::default();
// Micro team with 5 projects, pattern appears in all 5 with RFC match
let decision = thresholds.evaluate(
5, // project_count
5, // total_projects
true, // has authority
Some("rfc://1234"), // RFC scheme
);
// Regulatory tier is disabled for micro teams
// Should fall through to emerging tier
assert_eq!(decision, PromotionDecision::RequireReview);
}
#[test]
fn test_small_team_enables_all_tiers() {
let thresholds = ScaleAdaptiveThresholds::default();
// Small team with 10 projects, pattern in 9 with RFC match
let decision = thresholds.evaluate(
9, // project_count
10, // total_projects
true, // has authority
Some("rfc://5246"), // RFC scheme
);
// Small tier regulatory: max(5, 0.90*10) = max(5, 9) = 9
// Adoption rate: 9/10 = 90% >= 90%
// Should auto-promote to regulatory
assert_eq!(
decision,
PromotionDecision::AutoPromote(SourceClass::Regulatory)
);
}
#[test]
fn test_enterprise_maintains_strict_thresholds() {
let thresholds = ScaleAdaptiveThresholds::default();
// Enterprise with 1000 projects, pattern in 950 with RFC match
let decision = thresholds.evaluate(
950, // project_count
1000, // total_projects
true, // has authority
Some("rfc://9110"), // RFC scheme
);
// Enterprise tier: max(100, 0.95*1000) = max(100, 950) = 950
// Adoption rate: 950/1000 = 95% >= 95%
// Should auto-promote to regulatory (backward compatible behavior)
assert_eq!(
decision,
PromotionDecision::AutoPromote(SourceClass::Regulatory)
);
}
#[test]
fn test_scale_tier_progression() {
// Verify scale tier boundaries
assert_eq!(ScaleTier::from_total_projects(1), ScaleTier::Micro);
assert_eq!(ScaleTier::from_total_projects(5), ScaleTier::Micro);
assert_eq!(ScaleTier::from_total_projects(6), ScaleTier::Small);
assert_eq!(ScaleTier::from_total_projects(25), ScaleTier::Small);
assert_eq!(ScaleTier::from_total_projects(26), ScaleTier::Medium);
assert_eq!(ScaleTier::from_total_projects(100), ScaleTier::Medium);
assert_eq!(ScaleTier::from_total_projects(101), ScaleTier::Large);
assert_eq!(ScaleTier::from_total_projects(500), ScaleTier::Large);
assert_eq!(ScaleTier::from_total_projects(501), ScaleTier::Enterprise);
}
#[test]
fn test_adaptive_floor_prevents_noise() {
let thresholds = ScaleAdaptiveThresholds::default();
// Micro team with 3 projects, pattern appears in only 1
let decision = thresholds.evaluate(
1, // project_count
3, // total_projects
false, // no authority
None,
);
// Even though 1/3 = 33% meets percentage (50% of 3 = 1.5),
// the floor of 2 prevents single-project noise
// Adoption rate: 1/3 = 33% < 50%
assert_eq!(decision, PromotionDecision::Skip);
}
#[test]
fn test_medium_team_clinical_tier() {
let thresholds = ScaleAdaptiveThresholds::default();
// Medium team with 50 projects, pattern in 38 with OWASP match
let decision = thresholds.evaluate(
38, // project_count
50, // total_projects
true, // has authority
Some("owasp://top-10/a01"), // OWASP scheme
);
// Medium tier clinical: max(10, 0.75*50) = max(10, 37.5) = 38
// Adoption rate: 38/50 = 76% >= 75%
// Should auto-promote to clinical
assert_eq!(
decision,
PromotionDecision::AutoPromote(SourceClass::Clinical)
);
}