Dev

[orgua]

0.8.0

• linux
  • ~optimize for real-time kernel~, moved to branch
  • make phc2sys & ptp4l more reliable
  • test and optimize for debian 12.6 bookworm
  • harvest cpu-usage drops from 69% (py310) to 61% (py311)
• kernel-module
  • cleanup, optimize
  • more futureproof (use ktime_get_X() instead of getnstimeofday())
  • remove mutex (seems to have deadlocked sometimes)
  • fix hrtimer_forward()-usage (source for instability)
  • more const-correctness
  • can now change firmware of both PRUs
  • more pru-messages are handed to python (for logging)
  • warn/error if sync-config is wrong
• python
  • reduce load by 50 % (omit timestamps & change compression)
  • IV-Stream -> add meta-data for stored buffer-segment
  • meta: buffer-timestamp, sample-count, pru-util mean & max
  • this can reconstruct timestamp-stream after the measurement
  • refactored h5writer into smaller modules (monitor and recorder threads)
  • added monitors for uart, pru-usage, ptp-status
  • replaced setup.cfg by pyproject.toml with ini2toml
  • added heartbeat-messages during operation
  • fix launcher - was misbehaving with 100% cpu-usage
  • added watchdog-reset service - functionality was in launcher before
  • reduced ram-usage of services
  • removed scipy-dependency (less ram usage, faster startup)
  • disable NTP before starting a measurement
• herd
  • resync - give info about time-diff
  • improve interpretation of sheep-exit-codes
• ansible
  • major overhaul
  • more removed packages during cleanup
  • safer kernel-downgrading
  • faster code
  • safer firmware-removal
  • disable unwanted services
• toolchain: replace isort, black, flake8, pylint by ruff
• debug
  • add option to generate kernel gpio edges (trigger_loop_callback() in pru_sync_control.c)
  • allow analyzing recorded gpio sync traces (software/time_sync_analyzer)
• update floorplan of testbed
• add tooling to allow analyzing timesync-behavior (software/time_sync_analyzer)
• add current hardware design files
• major overhaul documentation
• tested (fully): pytest sheep, pytest herd, ansible install
• ready-to-use image will be created - look in getting-started guide