Files
whyrating-engine-legacy/.artifacts/ReviewIQ-v32-Decisions.md
Alejandro Gutiérrez acd3b22e88 docs: Add pipeline development artifacts for parallel implementation
New artifacts:
- ReviewIQ-Pipeline-DevGuide.md: Entry point for pipeline work
- ReviewIQ-Pipeline-Contracts-v1.md: Stage I/O specs, validation rules, test fixtures
- ReviewIQ-Pipeline-Checklist.md: Per-stage implementation checklists
- ReviewIQ-Codebase-Overview.md: File structure, integration points
- ReviewIQ-v3.2.1-Taxonomy-Versioning.md: Taxonomy versioning addendum

Updated:
- ReviewIQ-v32-Decisions.md: Added B2 audit findings, taxonomy versioning decisions, pipeline status

These artifacts enable parallel development of pipeline stages 1-4 with:
- Independent validation (35 rules across stages)
- Clear input/output contracts
- Test fixtures for each stage
- Definition of done criteria

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 17:08:40 +00:00

285 lines
9.7 KiB
Markdown

# ReviewIQ v3.2 Design Decisions
> Fast context-recovery document — all key decisions without the full spec.
---
## 1. Markpoint
```
ID: reviewiq-v32-span-layer-2026-01-24-004
Status: Pipeline contracts defined, ready for parallel implementation
Based on: v3.2 (commit 43fd151)
START HERE: ReviewIQ-Pipeline-DevGuide.md (for pipeline implementation)
Key Documents:
- ReviewIQ-Pipeline-DevGuide.md (entry point for pipeline work)
- ReviewIQ-Codebase-Overview.md (file structure, what exists)
- ReviewIQ-Pipeline-Contracts-v1.md (stage I/O contracts, validation)
- ReviewIQ-Pipeline-Checklist.md (implementation checklist)
- ReviewIQ-v3.2.1-Taxonomy-Versioning.md (taxonomy versioning spec)
```
---
## 2. Core Design Decisions
| Decision | Choice | Rationale |
|----------|--------|-----------|
| Span granularity | Clause/topic-level | Preserves multi-domain signal |
| span_id format | ULID (TEXT) | Survives re-segmentation |
| Span offsets | Required (NOT NULL) | Deterministic reconstruction |
| Offsets reference | reviews_enriched.text | Not text_normalized |
| Span → Issue mapping | One-to-one (UNIQUE span_id) | Atomic unit per issue |
| Primary span enforcement | Partial unique index | Exactly one per review version |
| Primary selection | I3>I2>I1, V->V±>V0>V+, span_index | Deterministic, stable |
| Reprocessing strategy | Soft-switch with is_active | No transient empty states |
| Span overlap | GiST exclusion constraint | Non-overlapping ranges enforced |
| Secondary codes | Array with cardinality ≤ 2 | Could normalize to link table later |
| Causal chain storage | JSONB | Flexibility, normalize later if needed |
| relation_type vs causal_chain | Separate concerns | relation = within-review, causal = root cause |
| Dimension columns | Postgres ENUMs | Type safety, storage efficiency |
| Trust score floor | 0.2 (GREATEST clamp) | Prevent multiplicative collapse |
| Issue routing key | (business_id, place_id, urt_primary, entity_normalized) | Deterministic, entity-aware |
| Issue ID generation | SHA256 via pgcrypto | Deterministic, collision-resistant |
| Text validation trigger | Conditional via session setting | Performance: skip in bulk loads |
| Relation validation | Application-level post-insert | Handles insertion order |
---
## 3. Extensions Required
| Extension | Purpose |
|-----------|---------|
| `btree_gist` | Exclusion constraint for non-overlapping spans |
| `pgcrypto` | SHA256-based issue ID generation |
---
## 4. New Tables
| Table | Purpose |
|-------|---------|
| `review_spans` | Span-level URT classification |
| `review_span_secondary_codes` | (Optional) Normalized secondary codes |
---
## 5. Modified Tables
| Table | Changes |
|-------|---------|
| `issue_spans` | Added `span_id` FK (NOT NULL), removed direct review FK as canonical |
---
## 6. New ENUM Types
**Valence & Intensity:**
- `urt_valence` — V-, V±, V0, V+
- `urt_intensity` — I1, I2, I3
**Specificity & Actionability:**
- `urt_specificity` — S1, S2, S3
- `urt_actionability` — A1, A2, A3
**Context & Evidence:**
- `urt_temporal` — TC (current), TR (recent), TH (historical), TF (future)
- `urt_evidence` — ES (stated), EI (inferred), EC (contextual)
- `urt_comparative` — CR-N (none), CR-B (better), CR-W (worse), CR-S (same)
**Classification:**
- `urt_profile` — lite, core, standard, full
- `urt_confidence` — low, medium, high
- `urt_relation` — cause_of, effect_of, contrast, resolution
- `urt_entity_type` — location, staff, product, process, time, other
---
## 7. Key Functions
| Function | Purpose |
|----------|---------|
| `urt_validate_causal_chain()` | Validates causal JSONB structure |
| `validate_review_relations()` | Ensures related_span_id same-parent |
| `validate_active_spans()` | Ensures valid active span set |
| `set_primary_span()` | Deterministic primary selection |
| `generate_issue_id()` | SHA256-based issue ID |
---
## 8. Key Triggers
| Trigger | Purpose |
|---------|---------|
| `review_spans_validate_bounds` | span_end ≤ text length |
| `review_spans_validate_text` | span_text matches substring |
| `review_spans_validate_causal_chain` | causal_chain JSONB valid |
---
## 9. USN Format
```
Standard: URT:S:{codes}:{V}{I}:{S}{A}{T}.{E}.{CR}
Full: URT:F:{codes}:{V}{I}:{S}{A}{T}.{E}.{CR}:{causal}
```
**Examples:**
- `URT:S:SVC.SPD:V-I3:S3A3T2.E2.CR1` — Specific service speed complaint
- `URT:F:PRD.QUA:V+I2:S2A1T1.E3.CR2:staff→training` — Product quality praise with causal chain
---
## 10. Span Boundary Rules
1. **Split on contrasting conjunctions** — "but", "however", "although"
2. **Split on topic/target change** — Different entity or aspect
3. **Split on valence change** — Positive → Negative or vice versa
4. **Split on domain change** — SVC → PRD → AMB
5. **Keep cause→effect together** — Causal chain stays in one span
---
## 11. Deferred to v3.3+
| Item | Reason |
|------|--------|
| Entity extraction implementation | Requires NER pipeline |
| Trust-weighted fact aggregation | Needs more span data |
| Secondary domain enforcement | App-level validation sufficient |
| Span-based fact counting | Currently review-based, optimize later |
---
## 12. Open Questions Resolved
| Question | Resolution |
|----------|------------|
| Span → Issue cardinality? | **One-to-one** (not many-to-many) |
| Offsets nullable for LLM-inferred? | **No** — required, NOT NULL |
| Reprocessing strategy? | **Soft-switch** with is_active flag |
| TEXT vs ENUM for dimensions? | **ENUMs** — committed to Postgres |
| Taxonomy evolution tracking? | **Yes** — versioned codes with explicit mappings (v3.2.1) |
| B2 schema vs v3.2 divergence? | **Documented** — B2 is canonical URT, v3.2 is app layer |
| Taxonomy versioning? | **Yes**`taxonomy_version` column on spans, versioned code tables |
---
## 13. B2 Schema Audit Findings
**Audit Date**: 2026-01-24
The B2-database-schema.sql (canonical URT v5.1) and ReviewIQ v3.2 spec have deliberate divergences:
| Aspect | B2 (URT v5.1) | v3.2 (ReviewIQ) | Resolution |
|--------|---------------|-----------------|------------|
| Purpose | Source-agnostic taxonomy | Google Reviews app layer | Keep both |
| ID strategy | UUIDs + sequential | Deterministic SHA256 | v3.2 choice |
| Type safety | VARCHAR + CHECK | Postgres ENUMs | v3.2 choice |
| Span table | `spans` | `review_spans` | v3.2 naming |
| Offset columns | `char_start/char_end` | `span_start/span_end` | Document divergence |
| Tenant model | Single-tenant | Multi-tenant (business_id) | v3.2 requirement |
| Issue-span mapping | Many-to-many | One-to-one | v3.2 choice |
| Causal chain | Normalized table | JSONB column | v3.2 flexibility |
| Reprocessing | Not supported | Soft-switch pattern | v3.2 innovation |
**Action Items**:
1. Import reference data (domains, categories, subcodes) from B2 INSERTs
2. Seed `urt_codes` / `urt_codes_versioned` from B1-urt-codes.yaml
3. Do NOT adopt B2 structure directly — v3.2 has specific app requirements
---
## 14. Taxonomy Versioning (v3.2.1)
| Decision | Choice | Rationale |
|----------|--------|-----------|
| Track taxonomy version | Required column on spans | Classifications only meaningful in version context |
| Version ID format | `v{major}.{minor}` | Human-readable, matches URT releases |
| Code FK strategy | Composite `(code, version_id)` | Prevents orphaned classifications |
| Cross-version mappings | Explicit mapping table | Enables normalized trend queries |
| Mapping direction | Forward only (old→new) | Simpler model, matches time flow |
| Default version | `'v5.1'` hardcoded | Safe baseline, explicit upgrade path |
| Fact table versioning | Per-row `taxonomy_version` | Enables version-specific aggregation |
**Key Tables Added**:
- `urt_taxonomy_versions` — Version registry with validity periods
- `urt_codes_versioned` — Full code definitions per version (SCD Type 2)
- `urt_code_mappings` — Cross-version translation rules
**Key Functions Added**:
- `translate_urt_code(code, from_version, to_version)` — Single code translation
- `get_code_lineage(code, version)` — Full historical lineage
- `detect_taxonomy_drift(from_version, to_version)` — Impact analysis
- `aggregate_spans_normalized(...)` — Version-normalized aggregation
**Principle**: Facts are immutable. A span classified as `J1.01` in v5.1 stays that way forever. Translation is explicit and auditable.
See: `.artifacts/ReviewIQ-v3.2.1-Taxonomy-Versioning.md`
---
## 15. Pipeline Implementation Status
**Overall: ~55% Complete** (as of 2026-01-24)
| Stage | Name | Status | Owner |
|-------|------|--------|-------|
| 0 | Raw Ingestion | ✅ DONE | Scraper Team |
| 1 | Normalization | ❌ TODO | TBD |
| 2 | LLM Classification | ❌ TODO | TBD |
| 3 | Issue Routing | ❌ TODO | TBD |
| 4 | Fact Aggregation | ❌ TODO | TBD |
**What's Working**:
- Google Maps scraping (v1.0.0)
- Job orchestration & queuing
- Webhook delivery
- Frontend job management
- Real-time SSE streaming
**What's Missing**:
- Entire enrichment pipeline (Stages 1-4)
- LLM integration
- Span extraction
- Issue routing
- Analytics aggregation
**Parallel Development**:
Each stage can be implemented independently using the contracts defined in:
- `ReviewIQ-Pipeline-Contracts-v1.md` — Full I/O specs, validation rules, test fixtures
- `ReviewIQ-Pipeline-Checklist.md` — Implementation checklist, definition of done
**Estimated Effort to 100%**: 6-8 weeks
---
## Quick Reference
### Primary Span Selection Algorithm
```
ORDER BY:
1. intensity DESC (I3 > I2 > I1)
2. valence ASC (V- > V± > V0 > V+)
3. span_index ASC (first wins ties)
```
### Issue Routing Key
```sql
(business_id, place_id, urt_primary, entity_normalized)
```
### Trust Score Calculation
```sql
GREATEST(0.2, base_trust * modifiers) -- Floor prevents collapse
```
---
*Last updated: 2026-01-24 (pipeline contracts + codebase overview)*