### Added
- **Layered event storage architecture.** Each event now lands as four
files in the per-serial waveform store, each with a clear role:
- `<filename>` — the Blastware-readable binary (BW file). Untouched.
- `<filename>.a5.pkl` — the raw 5A frames (regenerative source).
- `<filename>.h5` — clean per-channel waveform arrays in physical
units (in/s for geo, psi for mic) plus event metadata (HDF5 with
gzip compression). This is the canonical format for downstream
analysis tools.
- `<filename>.sfm.json` — the modern review/metadata sidecar (peaks,
project, source provenance, review state, extensions).
SQLite (`seismo_relay.db`) is the searchable index over all four.
- **Plot-ready waveform JSON (`sfm.plot.v1`).** The `/device/event/{idx}/waveform`
and `/db/events/{id}/waveform.json` endpoints now return samples in
physical units with explicit time-axis metadata, peak markers, and
per-channel unit hints — no more guessing the ADC-to-velocity scale
client-side. The webapp waveform viewer was rewritten to consume
this shape.
- **In-app waveform viewer accuracy fix.** The standalone SFM webapp
viewer was scaling geophone amplitudes by `geoAdcScale / 32767`
(≈ 6.206 / 32767), where `geoAdcScale = 6.206053` is the device's
*in/s per V* hardware constant — not the ADC-counts-to-velocity
factor. This silently scaled every plot ~38% too low for Normal-range
geophones (the correct full-scale is 10.0 in/s, or 1.25 in/s for
Sensitive). Conversion is now done server-side using the geo_range
from compliance config; the client just plots.
- New `sfm/event_hdf5.py` module: `write_event_hdf5()`,
`read_event_hdf5()`, plus a plot-JSON helper.
- Backfill script extended to also emit `.h5` for existing events.
### Dependencies
- Added `h5py>=3.10` and `numpy>=1.24` for the HDF5 storage layer.
- Added `python-multipart>=0.0.7` (required by FastAPI for the
`/db/import/blastware_file` endpoint introduced in this release).
- Added `waveform_key` and `event_timestamp` columns to `CachedEvent` and `CachedWaveform` for integrity verification.
- Implemented logic to flush the cache when a mismatch in (waveform_key, event_timestamp) is detected during event and waveform updates.
- Enhanced `set_events` and `set_waveform` methods to check for mismatches and trigger cache eviction as necessary.
- Introduced a new `LiveCache` class to manage in-memory caching of live device data, separating it from the server logic for better testability.
- Added tests to verify the correctness of cache invalidation logic, particularly for post-erase key reuse scenarios.
- Updated web application to include a "Force refresh" toggle, allowing users to bypass the cache and re-fetch data from the device.
- Added `CallHomeConfig` model to represent the Auto Call Home settings.
- Introduced methods in `MiniMateClient` for reading (`get_call_home_config`) and writing (`set_call_home_config`) the call home configuration.
- Updated `MiniMateProtocol` with new commands for call home operations (SUB 0x2C for read, SUB 0x7E for write, and SUB 0x7F for confirm).
- Created API endpoints for retrieving and updating call home settings in the server.
- Enhanced the web interface with a new "Call Home" tab for user interaction with call home settings.
- Implemented JavaScript functions for reading and writing call home configurations from the web app.
section[6] is the monitoring flag (was wrongly section[1] — section[1] is always
0x00 in both states). Battery and memory fields use relative-from-end offsets
(section[-11:-9], section[-9:-5], section[-5:-1]) instead of absolute positions,
which broke when the payload grew by 3 bytes in monitoring mode.
Confirmed from full byte diff of 142 0xE3 frames in 4-8-26/2ndtry capture.
SFM start_monitoring now polls /device/monitor/status every 5s for up to 60s
instead of a fixed 25s delay (unit runs ~40s on-device sensor check before
confirming monitoring state).
Also corrects stale 1C→6E response anomaly claim in protocol reference — no
exceptions to the 0xFF−SUB rule are known.
- Introduced new SUBs for monitoring status, start, and stop commands in protocol.py.
- Implemented read_monitor_status, start_monitoring, and stop_monitoring methods in MiniMateProtocol class.
- Added new API endpoints for monitoring status retrieval and control in server.py.
- Enhanced the web application with a monitoring panel, including battery and memory status display.
- Created a new Python script to parse SUB 0x1C response frames for monitoring status.
- Documented the monitoring status response format and field locations in markdown and text files.
serversdown
claude