Three final fixes applied:
1. issue_spans versioning: Added source + review_version columns
with FK to reviews_enriched(source, review_id, review_version).
Spans now correctly reference the exact review version.
2. Competitor business_id rule: Clarified that competitor reviews
use customer's business_id + competitor's place_id (not NULL).
Keeps facts and joins working without special-case logic.
3. Trust-weighted facts: Clarified trust_weighted_* columns are
reserved but not populated in v3.1. Trust scoring applies to
issue priority only. Aggregation deferred to v3.2.
Status: Production-grade architecture specification.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Complete pipeline architecture for Google Reviews intelligence:
- Versioned reviews_enriched with (source, review_id, version) PK
- Tenant-scoped locations with (business_id, place_id) PK
- Relational issue_spans replacing array aggregation
- Unified fact_timeseries spine with 'ALL' sentinel for rollups
- Clean competitor model (separate table, no fake business_ids)
- Trust scoring and dedup support
- KPI-ready join keys
Reviewed and fixed: PK for edited reviews, multi-tenant overlap,
param ordering bugs, fact population scope, entity field deferral.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- reviewiq-pipeline-v1-final.md: Earlier pipeline specification
- test_metadata_extraction.py: Test script for metadata extraction
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
