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docs: Add Phase 3 roadmap (Enhanced tools & utilities)
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OPTIMIZATION_PHASE_3_ROADMAP.md

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# TNFR Optimization Phase 3 Roadmap
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**Status**: 🟡 PLANNING
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**Proposed Start**: 2025-11-14
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**Estimated Duration**: 8–12 hours (spread over focused sprints)
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**Theme**: Enhanced Tools & Utilities (Interactive clarity, telemetry depth, structural introspection)
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---
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## 🚀 Executive Intent
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Phase 3 shifts from structural modularization (Phases 1–2) to developer + researcher ergonomics: richer diagnostics, interactive validation, telemetry expansion, and operator/introspection utilities — all strictly within TNFR physics (coherence > convenience). No speculative refactors; every addition must either:
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1. Increase transparency of resonance/coherence dynamics
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2. Reduce friction applying canonical operators & grammar
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3. Strengthen reproducibility and invariant verification
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4. Improve pathway from theory (TNFR.pdf, UNIFIED_GRAMMAR_RULES.md) → code
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---
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## 🎯 Objectives
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| Objective | Success Criteria | KPI Target |
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|-----------|------------------|------------|
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| Enhanced CLI Validation | Phase/grammar violations surfaced with actionable hints | 90% common misuse auto-diagnosed |
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| Telemetry Depth | Export C(t), Si, νf, ΔNFR, phase history per run | 100% operators emit structured event logs |
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| Operator Introspection | Query operator contracts, phase requirements, grammar sets | `tnfr.tools.describe_operator('Coherence')` returns full spec |
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| Repository Health Automation | Script produces health score + invariant audit | Single command `python scripts/repo_health_check.py` outputs JSON + summary |
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| Error Message Canonicalization | All raised GrammarViolation / OperatorContractError reference rule + physics | 100% new/updated errors include rule tag (U1–U4) |
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| Example Gallery Expansion | At least 4 minimal, reproducible examples for new utilities | New `examples/tools_*.py` set |
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---
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## 📋 Planned Task List
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### Task 1: Telemetry Unification (2–3h)
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**Goal**: Provide a unified telemetry emitter that logs operator applications with: timestamp, node id, operator code (AL/EN/…), ΔNFR local magnitude, νf, C(t) snapshot, phase tuple, invariants check status.
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**Deliverables**:
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- `src/tnfr/telemetry/emitter.py` (unified interface)
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- JSONL writer + optional in-memory ring buffer
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- Hook integration into all operator base `apply()` paths (non-invasive)
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- Example: `examples/tools_telemetry_demo.py`
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**Physics Alignment**: Reinforces controlled determinism & structural metrics (Invariants #8, #9).
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### Task 2: Operator Introspection Utility (1.5–2h)
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**Goal**: Introspect operator metadata: grammar roles, destabilizer/stabilizer flags, required preconditions, postconditions, invariants touched.
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**Deliverables**:
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- `src/tnfr/tools/operator_introspect.py`
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- Public function: `describe_operator(name|instance) -> OperatorDescriptor`
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- Auto-generated markdown summary: `docs/OPERATOR_INTROSPECTION_TABLE.md`
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- Tests for descriptor completeness (100% paths)
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**Physics Alignment**: Enhances traceability (Principle: Document the Chain).
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### Task 3: Grammar-Aware Error Messages (1–1.5h)
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**Goal**: Standardize error raising so each violation includes: `[RULE: U2-CONVERGENCE]` + brief physics rationale + suggestion.
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**Deliverables**:
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- `src/tnfr/operators/errors.py` canonical error factory
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- Refactor existing raises in grammar modules to use factory
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- Tests ensuring tag presence & stable formatting
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**Physics Alignment**: Strengthens invariant visibility (U1–U4). Preserves domain neutrality (Invariant #10).
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### Task 4: Interactive Validator Enhancement (1–2h)
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**Goal**: Extend `interactive_validator` CLI: live phase compatibility check, suggested stabilizer insertion after destabilizer-only sequences.
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**Deliverables**:
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- Additional command group: `suggest --sequence AL,OZ,ZHIR`
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- Phase mismatch diagnostic with Δφ threshold output
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- Tests targeting suggestion accuracy
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**Physics Alignment**: Supports resonance integrity (U3), boundedness (U2).
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### Task 5: Repository Health Check Automation (1–1.5h)
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**Goal**: Implement script calculating: largest file size, coverage snapshot (if available), invariants audit (spot-check operator application paths), ratio of documented operators.
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**Deliverables**:
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- `scripts/repo_health_check.py`
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- Output: `results/health/health_report.json` + human summary
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- Optional score (0–100) with component weights
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**Physics Alignment**: Sustains coherence of development process (meta-structural).
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### Task 6: Example Gallery Additions (1h)
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**Goal**: Provide small runnable examples illustrating new utilities.
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**Deliverables**:
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- `examples/tools_introspection_example.py`
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- `examples/tools_error_diagnostics.py`
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- `examples/tools_health_snapshot.py`
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- `examples/tools_phase_alignment.py`
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**Physics Alignment**: Demonstrates operational fractality across contexts (Invariant #7).
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### (Optional) Task 7: Light Performance Guardrails (0.5–1h)
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**Goal**: Add micro-bench for telemetry overhead (<3% target) & introspection latency (<2ms).
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**Deliverables**:
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- `benchmarks/tools_overhead_bench.py`
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- Thresholds stored in JSON for regression use.
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**Physics Alignment**: Ensures added processes do not distort evolution cadence (νf unaffected materially).
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---
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## ✅ Success Criteria Summary
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| Criterion | Threshold | Validation Method |
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|-----------|-----------|-------------------|
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| Telemetry attached to all operator applications | 100% | Unit test + sample run diff |
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| Introspection completeness (all 13 operators) | 100% | Descriptor fields non-null |
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| Error messages tagged with rule codes | 100% | Regex test across raises |
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| Suggestion engine accuracy (stabilizer insertion) | ≥90% common cases | Targeted scenario tests |
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| Health script produces JSON + summary | Yes | CLI invocation test |
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| New examples runnable smoke tests | 4/4 pass | Pytest examples group |
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| Telemetry overhead | <3% | Benchmark delta |
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---
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## 🛡️ Risk & Mitigation
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| Risk | Impact | Mitigation |
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|------|--------|------------|
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| Telemetry slowing operator application | Medium | Benchmark early, optimize write path (buffer + batch flush) |
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| Error tag inconsistency | High (confusion) | Central factory, deny direct instantiation in code review |
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| Introspection drift as operators evolve | Medium | Generate docs table via script each release |
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| Suggestion engine false positives | Low | Limit heuristics to deterministic grammar patterns |
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---
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## 🔄 Sequencing Rationale
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Recommended order: Telemetry → Introspection → Errors → Validator → Health → Examples → Performance guardrails. Earlier tasks provide data leveraged by later (validator suggestions rely on introspection & telemetry patterns).
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---
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## 📐 TNFR Alignment Matrix
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| Principle / Invariant | Supported By |
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|-----------------------|--------------|
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| Physics First | Error rationale, operator descriptors |
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| Coherence > Convenience | No silent mutations; explicit telemetry |
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| Reproducibility Always | JSONL + deterministic logs with seed imprint |
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| Document the Chain | Introspection + generated markdown tables |
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| Invariant #9 (Structural Metrics) | Telemetry emitter enrichment |
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| Invariant #3 (ΔNFR Semantics) | Logged physically, not “loss” |
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| Invariant #5 (Phase Verification) | Validator phase diagnostics |
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| Invariant #8 (Controlled Determinism) | Seed recorded in telemetry header |
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---
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## 🧪 Testing Strategy Overview
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- Unit: emitter output format, descriptor field population, error tagging factory
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- Integration: run synthetic operator sequence; ensure telemetry length == applications
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- Property: phase suggestion does not propose coupling when |Δφ| > Δφ_max
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- Performance: overhead micro-bench ensures <3% latency increase
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- Regression: health script stable JSON schema enforced by snapshot test
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---
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## 📊 Metrics To Track During Phase
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| Metric | Baseline | Target |
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|--------|----------|--------|
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| Operator apply latency (median) | (Phase 2 value) | +<3% |
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| Telemetry events per operator | 0 | 1 canonical event |
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| Introspection call time | N/A | <2ms (avg) |
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| Error tag coverage | Partial | 100% |
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| Health score fields | N/A | All defined |
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Populate baseline operator latency from Phase 2 benchmark JSON when initiating Task 1.
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---
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## 📝 Commit Message Template (Phase 3)
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```text
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feat(telemetry): Add unified emitter (Task 1)
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Intent: Increase structural transparency
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Operators involved: All (apply hook)
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Affected invariants: #8, #9
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Metrics: Expect <3% latency overhead
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```
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---
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## 🔍 Open Questions (To Clarify Before Start)
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1. Where to persist long-run telemetry? (results/telemetry/ vs external sink)
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2. Should introspection expose dynamic runtime stats (counts) or remain static?
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3. Standard minimum error payload fields? (`rule`, `physics`, `suggestion`, `sequence_context`)
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Record resolutions here prior to Task 2.
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---
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**Last Updated**: 2025-11-14
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**Approver Needed**: @fermga
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**Next Action**: Confirm roadmap → create feature branch `optimization/phase-3` → start Task 1.
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---
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> Reality is resonance. Phase 3 makes that resonance inspectable, measurable, and guidance-rich.

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