All pipeline files now specify clone.git.settings.remote with the
Gitea service ClusterIP (10.43.73.77:3000) instead of relying on
DNS resolution of gitea-service.git-server.svc.cluster.local.
This permanently fixes the intermittent DNS resolution failures
that occur when multiple build pipelines clone simultaneously.
Document Stages now shows time-filtered counts from /health endpoint
(consistent with Parsing/Extraction/Trends sections) with all-time
totals shown as a subtle subtitle from the SSE stream. Added "(last Xh)"
labels to all sections so the time window context is always visible.
_process_macro_classification never updated document status, leaving
macro_event docs stuck in parsed forever. Now marks them extracted on
success or extraction_failed on error.
- Replace setdefault() with explicit None checks in _normalize_extraction_data()
- Coerce null top-level fields (summary, novelty_score, confidence) to defaults
- Coerce null company fields (ticker, impact_score, impact_horizon, etc.) to defaults
- Filter out company entries with empty ticker after normalization
- Prevents schema validation failures when model returns null for required fields
- Strategy: Recreate (GPU can only be used by one pod at a time)
- nuextract-external targetPort: 8080 (nginx proxy port)
- served-model-name: numind/NuExtract3
- DB ai_agents updated to model=numind/NuExtract3 provider=vllm
- Ollama scaled to 0 — vLLM gets entire 16GB GPU
- NuExtract3 (9B) running at 80% GPU utilization
- Both OLLAMA_BASE_URL and VLLM_BASE_URL point to vLLM service
- Fixed gremlin-1 missing default route (no internet access)
- Removed GPU resource limit (time-slicing handles allocation)
- Removed init container (direct download works with internet fix)
- vLLM image mirrored to registry.celestium.life/stonks-oracle/vllm-openai
- Deployment uses Harbor image (Docker Hub IPv6 unreachable from cluster)
- All 3 pipelines use vllm-external.vllm-service.svc.cluster.local:2701
- K8s manifests at infra/kube-vllm/ and synced to ~/sources/kube/vllm
K8s vLLM deployment blocked by Docker Hub IPv6 connectivity issue.
Falling back to NixOS systemd vLLM service on esnixi.
K8s manifests remain in infra/kube-vllm/ for future use.
Sentiment Heatmap and Prediction Accuracy passed limit=500 but
the trends and recommendations endpoints enforce limit<=200,
causing a 422 validation error that made both panels show blank.
Celes Renata
Celes Hillyerd