9b9c5beb23
chore: enhance .gitignore and remove obsolete documentation files - Reorganize .gitignore with categorized sections for better maintainability - Add comprehensive ignore patterns for Python, Node.js, databases, logs, and build artifacts - Add project-specific ignore rules for coordinator, explorer, and deployment files - Remove outdated documentation: BITCOIN-WALLET-SETUP.md, LOCAL_ASSETS_SUMMARY.md, README-CONTAINER-DEPLOYMENT.md, README-DOMAIN-DEPLOYMENT.md ```
81 lines
4.0 KiB
Markdown
81 lines
4.0 KiB
Markdown
# Miner Node – Task Breakdown
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## Status (2026-01-24)
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- **Stage 1**: ✅ **IMPLEMENTED** - Core miner package (`apps/miner-node/src/aitbc_miner/`) provides registration, heartbeat, polling, and result submission flows with CLI/Python runners. Basic telemetry and tests exist.
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- **Host GPU Miner**: ✅ **DEPLOYED** - Real GPU miner (`gpu_miner_host.py`) running on host with RTX 4060 Ti, Ollama integration, and systemd service. Successfully processes jobs and generates receipts with payment amounts.
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## Recent Updates (2026-01-24)
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### Host GPU Miner Deployment
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- ✅ Deployed real GPU miner on host with NVIDIA RTX 4060 Ti (16GB)
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- ✅ Integrated Ollama for LLM inference across 13+ models
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- ✅ Configured systemd service (`aitbc-host-gpu-miner.service`)
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- ✅ Fixed miner ID configuration (REDACTED_MINER_KEY)
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- ✅ Enhanced logging with flush handlers for systemd journal visibility
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- ✅ Verified end-to-end workflow: job polling → Ollama inference → result submission → receipt generation
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### Performance Metrics
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- Processing time: ~11-25 seconds per inference job
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- GPU utilization: 7-20% during processing
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- Token processing: 200+ tokens per job
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- Payment calculation: 11.846 gpu_seconds @ 0.02 AITBC = 0.23692 AITBC
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- Receipt signature: Ed25519 cryptographic signing
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### Integration Points
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- Coordinator API: http://127.0.0.1:18000 (via Incus proxy)
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- Miner ID: REDACTED_MINER_KEY
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- Heartbeat interval: 15 seconds
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- Job polling: 3-second intervals
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- Result submission: JSON with metrics and execution details
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## Stage 1 (MVP) - COMPLETED
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- **Package Skeleton**
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- ✅ Create Python package `aitbc_miner` with modules: `main.py`, `config.py`, `agent.py`, `probe.py`, `queue.py`, `runners/cli.py`, `runners/python.py`, `util/{fs.py, limits.py, log.py}`.
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- ✅ Add `pyproject.toml` or `requirements.txt` listing httpx, pydantic, pyyaml, psutil, uvloop (optional).
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- **Configuration & Loading**
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- ✅ Implement YAML config parser supporting environment overrides (auth token, coordinator URL, heartbeat intervals, resource limits).
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- ✅ Provide `.env.example` or sample `config.yaml` in `apps/miner-node/`.
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- **Capability Probe**
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- ✅ Collect CPU cores, memory, disk space, GPU info (nvidia-smi), runner availability.
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- ✅ Send capability payload to coordinator upon registration.
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- **Agent Control Loop**
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- ✅ Implement async tasks for registration, heartbeat with backoff, job pulling/acking, job execution, result upload.
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- ✅ Manage workspace directories under `/var/lib/aitbc/miner/jobs/<job-id>/` with state persistence for crash recovery.
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- **Runners**
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- ✅ CLI runner validating commands against allowlist definitions (`/etc/aitbc/miner/allowlist.d/`).
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- ✅ Python runner importing trusted modules from configured paths.
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- ✅ Enforce resource limits (nice, ionice, ulimit) and capture logs/metrics.
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- **Result Handling**
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- ✅ Implement artifact upload via multipart requests and finalize job state with coordinator.
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- ✅ Support failure reporting with detailed error codes (E_DENY, E_OOM, E_TIMEOUT, etc.).
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- **Telemetry & Health**
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- ✅ Emit structured JSON logs; optionally expose `/healthz` endpoint.
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- ✅ Track metrics: running jobs, queue length, VRAM free, CPU load.
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- **Testing**
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- ✅ Provide unit tests for config loader, allowlist validator, capability probe.
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- ✅ Add integration test hitting `mock_coordinator.py` from bootstrap docs.
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## Implementation Status
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- **Location**: `apps/miner-node/src/aitbc_miner/`
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- **Features**: Registration, heartbeat, job polling, result submission
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- **Runners**: CLI and Python runners with allowlist validation
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- **Resource Management**: CPU, memory, disk, GPU monitoring
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- **Deployment**: Ready for deployment with coordinator integration
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## Stage 2+ - IN PROGRESS
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- 🔄 Implement multi-slot scheduling (GPU vs CPU) with cgroup integration.
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- 🔄 Add Redis-backed queue for job retries and persistent metrics export.
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- 🔄 Support secure secret handling (tmpfs, hardware tokens) and network egress policies.
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