- Rust workspace with stemedb-core crate - Full .claude/ configuration (agents, skills, commands, guides) - ai-lookup/ for token-efficient fact storage - Quality gates: clippy, fmt, jscpd duplication detection - Pre-commit hook with 5-phase quality checks - CLAUDE.md router and CODING_GUIDELINES.md standards Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
47 lines
1.3 KiB
Markdown
47 lines
1.3 KiB
Markdown
# Lens
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**Last Updated:** 2025-01-31
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**Confidence:** High
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## Summary
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A Lens resolves conflicting assertions into a deterministic answer at read time. Multiple truths coexist; the Lens chooses which to return.
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**Key Facts:**
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- Stateless compute (no side effects)
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- Deterministic (same input = same output)
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- Fast (runs on every read, avoid allocations)
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- Pluggable (implement `Lens` trait)
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**File Pointer:** `crates/stemedb-lens/src/lib.rs` (planned)
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## The Trait
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```rust
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pub trait Lens {
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fn resolve(&self, candidates: &[Assertion], context: &QueryContext) -> LensResult;
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}
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```
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## Standard Lenses
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| Lens | Strategy | Use Case |
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|------|----------|----------|
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| Recency | Latest timestamp wins | News, real-time |
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| Consensus | Highest vote count | Democratic truth |
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| Authority | Weighted by agent reputation | Expert truth |
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| Skeptic | Returns variance/conflict | Finding controversy |
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## Query Flow
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1. Client: `GET(Subject="Tesla", Predicate="Revenue", Lens="Consensus")`
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2. Index lookup: `SP:Tesla:Revenue` -> `[Hash1, Hash2, Hash3]`
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3. Hydrate: Load assertions from hashes
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4. Resolve: `ConsensusLens.resolve(assertions, context)`
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5. Return: Single deterministic answer with confidence
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## Related Topics
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- [Assertion](./assertion.md)
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- [stemedb-lens skill](../../.claude/skills/stemedb-lens/SKILL.md)
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