- Real bug found by code review while implementing this cycle: "Code -
Reusar Classificacao em Cache" always hardcoded is_fallback: false when
reconstructing a classification from memory, even when the cached
classification was itself AI_FALLBACK. On a cache hit for a previously
fallback-classified ticket, this would have let it skip
applyFallbackPolicy's exclusion entirely (the policy checks
aiClassification.is_fallback first). Fixed to derive is_fallback from
the cached ai_classification value.
- select-top10.node.js now carries `resolucao` (ia | cache | fallback_cap)
through to the scored item, previously dropped -- needed to tell cache
hits apart from real AI calls in observability.
- Code - Comparar Legacy x V2 now computes the full observability summary
(candidate_count, cache_hits/misses, ai_requested/success/errors,
ai_fallback_count and by-reason breakdown, classification_counts,
insufficient_context_count, actionable_real_count,
critical_override_count, top10_count, blocked_count,
coordination_count) and the data-quality review (buildDataQualityReview
over INSUFFICIENT_CONTEXT tickets), both stored in the shadow_runs
`summary` JSON column -- no new Data Table needed.
- Removed the debug webhook entirely (Debug - Ver Painel, Data Table -
Buscar Shadow Runs Recentes debug branch, Code - Montar Painel Debug,
Debug - Responder) and the now-unused debug-panel.node.js driver.
Workflow went from 37 to 33 nodes. Debugging goes through n8n execution
data, the Data Tables, and the shadow diff instead, as requested.
- Fixed glpi_base_url: was still V1's own placeholder
(https://glpi.suaempresa.com.br, never a real value, not report
anonymization) -- confirmed the real domain (https://glpi.gtigrupo.com.br)
from the live, active GLPI x WhatsApp workflow's own GLPI API config in
the same n8n instance. SQL still only ever receives it through
{GLPI_BASE_URL} substitution from the Config node, never hardcoded.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- 14 new Code node drivers implementing the pipeline stages: normalize
candidates, build context SQL, merge context + hash, decide AI need,
prepare AI prompt, validate AI response, AI-disabled fallback, reuse
cached classification, compute score, select top 10, prepare memory/
envio records, build message/digest, compare legacy x V2, debug panel.
- Consolidated the two context queries (followups/tasks) into a single
UNION ALL query tagged by tipo, and added a "Merge - Unir Shadow"
synchronization node before comparing legacy x V2: n8n does not
guarantee relative execution order between sibling branches that only
share an early common ancestor, so cross-branch data was only safe to
read by name once a real Merge node forced both to complete first.
- Reordered score calculation before the memory upsert (score is needed
in the persisted row) and turned both Data Table writes into
side-effect branches that fan out from the main path instead of
gating it, so the Data Table node's own output shape never needs to
carry the full pipeline state forward.
- Fixed a duplicate-identifier bug in the build script: score.js's
require('./cooldown') survived inlining and collided with
cooldown.js's own computeCooldown function in the same Code node
scope. build-workflow.js now strips inter-module requires when
inlining, and a new test syntax-checks every generated jsCode string
plus asserts no leftover require() calls.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
GustavoandClaude Sonnet 5