echo6-docs/vault/runbooks/recon-operations.md

title	type	tags	aliases	related	updated
RECON Operations Runbook	runbook	recon		recon deployment caddy recon-service-integration services	2026-07-11

RECON Operations Runbook

Service Info

• Host: recon-vm (VM 1130 on data node) — migrated from CT 130 on 2026-04-19
• IP: 192.168.1.130 / 100.64.0.24
• Install: /opt/recon/
• User: zvx
• services: recon.service, recon-watchdog.service, kiwix.service (systemd)

Service Management

ssh zvx@100.64.0.24
sudo systemctl start|stop|restart|status recon
journalctl -u recon -f

Health Check

curl -s http://100.64.0.24:8420/api/health | python3 -m json.tool
# Returns: healthy (200), degraded/unhealthy (503)
# Checks: Qdrant, TEI, NFS, Gemini keys, pipeline counts

Pipeline Status

ssh zvx@100.64.0.24
cd /opt/recon && source venv/bin/activate
python3 recon.py status            # Summary counts
python3 recon.py failures          # Failed documents
python3 recon.py search "query"    # Test search

Dashboard

• URL: http://100.64.0.24:8420
• Shows: pipeline progress, per-source breakdown, Qdrant stats
• Auto-refreshes every 30s

Common Operations

cd /opt/recon && source venv/bin/activate

# Add a PDF
python3 recon.py upload --file /path/to.pdf --category "Reference"

# Add web content
python3 recon.py ingest-url "https://example.com/article" --process

# Crawl a website
python3 recon.py crawl "https://docs.example.com" --process

# Manual pipeline run (normally automatic via service)
python3 recon.py extract
python3 recon.py enrich
python3 recon.py embed

# Scan library for new PDFs (normally hourly via service)
python3 recon.py scan
python3 recon.py queue

Dependencies

Service	Host	Port	Purpose
Qdrant	cortex	6333	Vector DB (recon_knowledge collection)
TEI	cortex	8090	Text embeddings (bge-m3, 1024-dim)
Ollama	cortex	11434	Chat model for Aurora RAG
NFS	pi-nas	—	/mnt/library (PDF source)
Gemini API	Google	—	Enrichment + vision OCR (4 keys in .env)
edge1	100.64.0.40	—	Backup destination (was Contabo 100.64.0.1 pre-2026-06-19 rebuild)

Backups

• Destination: root@100.64.0.40:/opt/backups/recon/ (edge1; was root@100.64.0.1 on Contabo pre-2026-06-19 rebuild)
• Full sync (concepts, text, DB, config): every 6 hours via cron
• DB snapshot only: every 2 hours via cron
• Script: /opt/recon/scripts/backup.sh

Verify backups

ssh root@100.64.0.40 'ls -lh /opt/backups/recon/recon_*.db && du -sh /opt/backups/recon/'

Troubleshooting

Pipeline stalled (no progress)

journalctl -u recon -n 50                      # Check errors
curl -s http://100.64.0.24:8420/api/health      # Check dependencies
sudo systemctl restart recon                    # Restart

Gemini rate limits (429 errors)

Built-in: exponential backoff 5s→10s→20s→40s→80s with jitter. Window failures skip that window and continue — partial enrichment beats zero.

If sustained: reduce enrich_workers in config.yaml, restart.

Qdrant down

ssh zvx@cortex
docker ps | grep qdrant
docker restart qdrant
# If data lost: ssh zvx@100.64.0.24 'cd /opt/recon && source venv/bin/activate && python3 recon.py rebuild'

TEI down

ssh zvx@cortex
docker ps | grep tei
docker restart tei

NFS mount lost

ssh zvx@100.64.0.24
mount | grep library
sudo mount -a
sudo systemctl restart recon

Reset stuck documents

cd /opt/recon && source venv/bin/activate
# Find stuck transitional states
sqlite3 data/recon.db "SELECT status, COUNT(*) FROM documents WHERE status IN ('extracting','enriching','embedding') GROUP BY status;"
# Reset them
sqlite3 data/recon.db "UPDATE documents SET status='queued' WHERE status='extracting';"
sqlite3 data/recon.db "UPDATE documents SET status='extracted' WHERE status='enriching';"
sqlite3 data/recon.db "UPDATE documents SET status='enriched' WHERE status='embedding';"

Full recovery from edge1 backup

ssh zvx@100.64.0.24
sudo systemctl stop recon
rsync -av root@100.64.0.40:/opt/backups/recon/concepts/ /opt/recon/data/concepts/
rsync -av root@100.64.0.40:/opt/backups/recon/text/ /opt/recon/data/text/
# Pick the latest DB backup
rsync -av root@100.64.0.40:/opt/backups/recon/recon_latest.db /opt/recon/data/recon.db
cd /opt/recon && source venv/bin/activate
python3 recon.py rebuild       # Rebuilds Qdrant from concept JSONs
sudo systemctl start recon

Key Files

Path	Purpose
/opt/recon/config.yaml	All configuration
/opt/recon/.env	Gemini API keys (GEMINI_KEY_1 through GEMINI_KEY_4)
/opt/recon/data/recon.db	SQLite status DB
/opt/recon/data/concepts/	Gemini extraction results (CRITICAL — costs $ to regenerate)
/opt/recon/data/text/	Extracted page text (regenerable from PDFs)
/opt/recon/PROJECT-BIBLE.md	Full system documentation
/opt/recon/scripts/backup.sh	Backup script
/opt/recon/scripts/validate.py	Pipeline consistency checker
/opt/recon/scripts/rebuild_qdrant.py	Nuclear Qdrant rebuild

Pipeline Architecture

/mnt/library/ (NFS)
    │
    ▼ hourly scan
[Catalogue] → [Queue] → [Extract] → [Enrich] → [Embed] → [Complete]
                          4 workers    16 workers  4 workers
                          PyPDF2       Gemini      TEI+Qdrant
                          pdftotext    2.0 Flash   bge-m3
                          Tesseract                1024-dim
                          Gemini Vision

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Last updated: 2026-04-19 — Updated for CT 130 → VM 1130 migration