- Add --help/-h flags to all 4 shell scripts with usage, env vars, examples
- Add prerequisite checks with install hints (apt/brew/pip) for missing tools
- Standardize exit codes (0=PASS, 1=WARN, 2=FAIL, 3=FATAL) across all scripts
- Standardize MESH_TIMEOUT to QEMU_TIMEOUT with backward compatibility
- Add SKIP_BUILD precheck for missing flash image in qemu-esp32s3-test.sh
- Add argparse to validate_qemu_output.py (was using raw sys.argv)
- Improve error messages in generate_nvs_matrix.py with NVS tool install hints
- Add socket connection warnings in inject_fault.py connect_monitor()
- Add example output epilog to check_health.py --help
- Add glossary (14 terms) and quick-start section to ADR-061
- Add GDB debugging walkthrough to ADR-061 Layer 4
- Fix stat portability in CI workflow (stat -c%s -> portable file_size())
- Add -type f to find commands in CI workflow
Co-Authored-By: claude-flow <ruv@ruv.net>
Fixes#215: provision.py now correctly imports from esp_idf_nvs_partition_gen
package (the pip-installable version) before falling back to legacy import.
Fixes#216: Added sdkconfig.defaults.template with custom partition table
configuration for 8MB flash boards. Copy to sdkconfig.defaults before build:
cp sdkconfig.defaults.template sdkconfig.defaults
Changes:
- firmware/esp32-csi-node/provision.py: Try esp_idf_nvs_partition_gen first
- scripts/provision.py: Same import fix
- firmware/esp32-csi-node/sdkconfig.defaults.template: 8MB flash config with
2MB OTA partitions, compiler size optimization, and CSI enabled
Co-Authored-By: claude-flow <ruv@ruv.net>
The source code was moved to v1/src/ but the Dockerfile still
referenced src/ directly, causing build failures. Updated all
COPY paths, uvicorn module paths, test paths, and bandit scan
paths. Also added missing v1/__init__.py for Python module
resolution.
Fixes#33
Co-Authored-By: claude-flow <ruv@ruv.net>
- Added HardwareService for managing router interfaces, data collection, and monitoring.
- Introduced PoseService for processing CSI data and estimating poses using neural networks.
- Created StreamService for real-time data streaming via WebSocket connections.
- Implemented initialization, start, stop, and status retrieval methods for each service.
- Added data processing, error handling, and statistics tracking across services.
- Integrated mock data generation for development and testing purposes.
ruv
Reuven
Claude