Phase 0: Project restructure to ReviewIQ platform architecture

New structure:
- scrapers/google_reviews/v1_0_0.py (was modules/scraper_clean.py)
- scrapers/base.py (BaseScraper interface)
- scrapers/registry.py (ScraperRegistry for version routing)
- core/database.py, models.py, config.py, enums.py
- utils/logger.py, crash_analyzer.py, health_checks.py, helpers.py, date_converter.py
- workers/chrome_pool.py
- services/webhook_service.py
- api/ routes structure (empty, ready for Phase 2)
- tests/ structure mirroring source

All imports updated in:
- api_server_production.py (7 import paths updated)
- utils/health_checks.py (scraper import path)

Legacy modules moved to modules/_legacy/:
- data_storage.py, image_handler.py, s3_handler.py (unused)

Syntax verified, frontend build passing.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Alejandro Gutiérrez
2026-01-24 15:22:08 +00:00
parent bb0291f265
commit 544e028c3f
37 changed files with 5782 additions and 30 deletions

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# ReviewIQ v3.2 Design Decisions
> Fast context-recovery document — all key decisions without the full spec.
---
## 1. Markpoint
```
ID: reviewiq-v32-span-layer-2026-01-24-001
Status: v3.2 span layer complete
Based on: v3.1.2 (commit f998277)
```
---
## 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` — T1, T2, T3
- `urt_evidence` — E1, E2, E3
- `urt_comparative` — CR1, CR2, CR3
**Classification:**
- `urt_profile` — factual, emotional, comparative, etc.
- `urt_confidence` — low, medium, high
- `urt_relation` — elaborates, contrasts, causes, etc.
- `urt_entity_type` — person, product, location, etc.
---
## 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 |
---
## 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*