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Matt bc463188d5 feat(offroute): Phase O4 — multi-mode cost functions (foot/mtb/atv/vehicle) 
- Add ModeProfile dataclass for data-driven mode configuration
- Implement three speed functions:
  * Tobler off-path hiking (foot)
  * Herzog wheeled-transport polynomial (mtb/atv)
  * Linear speed degradation (vehicle)
- Add WildernessReader for PAD-US Des_Tp=WA wilderness areas
- Mode-specific terrain friction overrides:
  * Forest impassable for ATV/vehicle, high friction for MTB
  * Wetland/mangrove impassable for all wheeled modes
- Trail access rules:
  * Foot trails (value 25) impassable for ATV/vehicle
- Wilderness blocking for mtb/atv/vehicle modes
- Vehicle mode allows flat grassland/cropland traversal
- Memory optimization: limit entry points, constrain bbox size
- Update router to pass mode and wilderness to cost function
- Add vehicle to API mode validation

Validated all four modes with test route:
- foot: 0.46km off-network, 12.11km network, 89% on trail
- mtb: 0.47km off-network, 13.13km network, 90% on trail
- atv: 0.47km off-network, 12.81km network, 90% on trail
- vehicle: 0.46km off-network, 12.81km network, 89% on trail

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-05-08 14:11:56 +00:00
config config: disable 10ft contour test layer (causes green wall on flat terrain) 2026-04-27 02:51:14 +00:00
lib feat(offroute): Phase O4 — multi-mode cost functions (foot/mtb/atv/vehicle) 2026-05-08 14:11:56 +00:00
scripts Add Overture Maps POI enrichment layer for place details 2026-04-21 16:51:25 +00:00
static Replace wget/SingleFile/Playwright backends with Zimit 2026-04-19 14:06:23 +00:00
templates Add Nav-I API key management UI 2026-04-23 06:50:44 +00:00
.gitignore Extract _full_zim_cleanup helper, add SIGHUP + scrape_jobs cleanup 2026-04-19 02:28:49 +00:00
api.py Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
config.yaml Replace wget/SingleFile/Playwright backends with Zimit 2026-04-19 14:06:23 +00:00
enricher.py Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
migrate_paths.py Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
PROJECT-BIBLE.md Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
README.md Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
recon.py Add scraper Phase 2: smart crawl mode detection + browser fallback 2026-04-18 18:26:43 +00:00
requirements.txt Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
run-pipeline-now.sh Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00
sweep_gated.sh Initial commit: RECON codebase baseline 2026-04-14 14:57:23 +00:00

README.md

RECON -- Knowledge Extraction Pipeline

Extracts structured knowledge from PDFs and web content into a Qdrant vector database for RAG retrieval by Aurora.

Quick Start

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

# Scan library for new PDFs
recon scan

# Queue and process
recon queue
recon extract
recon enrich
recon embed

# Or run full pipeline
recon run

# Ingest a web page
recon ingest-url "https://example.com/article" --category "Category" --process

# Crawl an entire docs site
recon crawl "https://docs.example.com" --include /docs/ --category "Category" --process

# Upload a PDF
recon upload --file /path/to/document.pdf --category "Category"

# Search
recon search "water purification methods"

# Check status
recon status
recon failures

Dashboard

http://100.64.0.24:8420

Services

Service Location Purpose
RECON Dashboard recon:8420 Pipeline management + API
Qdrant cortex:6333 Vector database
TEI cortex:8090 Embeddings (1,711/sec)
Ollama cortex:11434 Chat + fallback embeddings
OpenWebUI cortex:8080 (ai.echo6.co) Aurora chat with RAG
File Server recon:8888 (files.echo6.co) PDF downloads

Key Paths

Path Contents
/opt/recon/ Application code
/opt/recon/data/concepts/ Gemini extractions (CRITICAL -- back these up)
/opt/recon/data/text/ Extracted text
/opt/recon/data/recon.db SQLite status DB
/mnt/library/ PDF library (NFS from pi-nas)

Backups

Automated every 6 hours to Contabo VPS via /opt/recon/scripts/backup.sh. Concept JSONs are the most valuable data ($130+ of Gemini API work). Qdrant is NOT backed up -- rebuilt from JSONs in ~10 minutes via recon rebuild.

Monitoring

# Pipeline status
recon status

# Tail logs
tail -f /opt/recon/logs/recon.log

# Pipeline run log
tail -f /opt/recon/pipeline.log

# Validate consistency
recon validate --deep

Full Documentation

See PROJECT-BIBLE.md for complete system documentation.