422e2d4416
Claims now flow through StemeDB's append-only knowledge graph instead of mutable TOML files. This resolves all 6 critical claim-bypass code paths: - Bridge: lossless AuthoredClaim ↔ Assertion round-trip (comparison, status, lifecycle mapping) - LocalEpisteme: ingest_authored_claim() and fetch_authored_claims() with AUTHORED_CLAIM predicate index - EpistemeClaimStore: ClaimStore trait backed by StemeDB (append-only delete via deprecation) - CLI handlers: all claim commands read/write through StemeDB - Scanner: loads claims from StemeDB with auto-migration fallback to TOML - Export: new `aphoria claims export` serializes StemeDB claims to TOML/JSON Also cleans up dead code (EpistemeConfig.url), renames ingest_claims→ingest_observations, fixes ClaimFilter.authority_tier type, adds Draft variant to ClaimStatus, and fixes pre-existing clippy warnings (too_many_arguments, filter_next→rfind). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
82 lines
3.1 KiB
Rust
82 lines
3.1 KiB
Rust
//! Demonstrates scale-adaptive promotion thresholds.
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//!
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//! Run with: `cargo run --example scale_adaptive_demo`
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use aphoria::corpus::thresholds::{ScaleAdaptiveThresholds, ScaleTier};
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fn main() {
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println!("=== Scale-Adaptive Promotion Thresholds Demo ===\n");
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let thresholds = ScaleAdaptiveThresholds::default();
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// Scenario 1: Micro Team (3 projects)
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println!("📊 Scenario 1: Micro Team (3 projects)");
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println!("Pattern appears in 2 out of 3 projects (67% adoption)\n");
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let tier = ScaleTier::from_total_projects(3);
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println!(" Scale Tier: {:?}", tier);
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let decision = thresholds.evaluate(2, 3, false, None);
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println!(" Decision: {:?}", decision);
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println!(" ✅ Pattern VISIBLE to team (RequireReview)\n");
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// Scenario 2: Small Team with RFC match
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println!("📊 Scenario 2: Small Team (10 projects)");
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println!("Pattern appears in 9 projects with RFC match (90% adoption)\n");
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let tier = ScaleTier::from_total_projects(10);
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println!(" Scale Tier: {:?}", tier);
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let decision = thresholds.evaluate(9, 10, true, Some("rfc://5246"));
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println!(" Decision: {:?}", decision);
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println!(" ✅ Auto-promoted to Regulatory tier\n");
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// Scenario 3: Enterprise (1000 projects)
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println!("📊 Scenario 3: Enterprise (1000 projects)");
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println!("Pattern appears in 950 projects with RFC match (95% adoption)\n");
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let tier = ScaleTier::from_total_projects(1000);
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println!(" Scale Tier: {:?}", tier);
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let decision = thresholds.evaluate(950, 1000, true, Some("rfc://9110"));
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println!(" Decision: {:?}", decision);
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println!(" ✅ Auto-promoted to Regulatory tier (backward compatible)\n");
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// Scenario 4: Noise prevention
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println!("📊 Scenario 4: Noise Prevention (3 projects)");
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println!("Pattern appears in only 1 project (33% adoption)\n");
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let tier = ScaleTier::from_total_projects(3);
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println!(" Scale Tier: {:?}", tier);
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let decision = thresholds.evaluate(1, 3, false, None);
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println!(" Decision: {:?}", decision);
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println!(" ✅ Skipped (floor prevents single-project noise)\n");
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// Show threshold matrix
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println!("=== Threshold Matrix ===\n");
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println!("| Tier | Projects | Emerging Floor | Regulatory Floor |");
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println!("|------------|----------|----------------|------------------|");
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for (name, total) in
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[("Micro", 3), ("Small", 10), ("Medium", 50), ("Large", 200), ("Enterprise", 1000)]
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{
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let tier = ScaleTier::from_total_projects(total);
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let tier_thresholds = thresholds.for_tier(tier);
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let emerging_min = tier_thresholds.emerging.effective_min_projects(total);
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let regulatory_min = if let Some(reg) = &tier_thresholds.regulatory {
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format!("{}", reg.effective_min_projects(total))
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} else {
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"N/A".to_string()
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};
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println!("| {:10} | {:8} | {:14} | {:16} |", name, total, emerging_min, regulatory_min);
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}
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println!("\n✅ Small teams see value immediately!");
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println!("✅ Quality maintained via floors and adoption rates!");
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println!("✅ Enterprise behavior unchanged!");
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}
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