Fix the phase-1/2 review findings in recording, calibration and depth replay
What - record: one packet->row conversion (record/sample.py). A failed compute chain records no force value at all, a newton value is written only for an axis that really has a calibration curve, and mono_t (not the wall clock) orders history with a per-row calibration hash. - record lifecycle: explicit starting/recording/stopping/stopped/failed states owned by the writer thread; stop() reports completed=False on timeout and does not write ended_at; consecutive write failures stop acceptance immediately. - record capacity: byte budget for the video queue (512 MiB default); a full queue sheds the *frame* and parks the tiny data row, so a video overflow no longer deletes CSV rows. Lost rows leave a dropped=1 index row and are counted as dropped_gaps / unrecorded_gaps. - calibration identity: sha256 content hash instead of a path, minted from the calibration the sensor actually loaded (reported before the first frame) and confirmed by the acquisition thread; events are timestamped when they happen. - calibration diagnostics: the fit summary, residual and validation error now come from the model that export/apply would use (piecewise_linear); validation points are held out of the build; repeated reference loads are merged with an n-weighted mean and pooled std. - calibration record: every point keeps its full three-axis sample series (frame id, time, raw, newtons, valid) plus diagnostics, written to an independent calibration_session_*.json that can be reopened for inspection; save record / export coefficients / apply to device are three separate actions. - depth replay: the cursor's frame is bound to the depth result by request sequence and frame id, so a moved cursor never shows another frame's map; the SDK is stepped from its current position instead of re-reading from the start; the live chain (box deformation+contact, finger unroll+tactile) is replayed with the exact resolved config path; algorithm state is rebuilt from a reset marker or from the recorded pre-roll, and says so when it cannot be. Why The review (D:/orisys_ws/_review_phase12/review.md) showed the app writing raw counts into the newton columns, recording a stale value after a failed compute, losing CSV rows when the video queue filled, reporting success while a writer was still running, diagnosing a model nobody applies, applying a calibration before the device confirmed it, dropping the samples behind a calibration point, showing a stale depth map under a moved cursor and recomputing depth of the wrong frame. Verification - D:/orisys_ws/_review_phase12/reproduce.py: all ten acceptance lines flipped (log saved as _review_phase12/reproduce_after.log). Including 25/25 rows kept with 8 video frames shed, frames [2]->[3], depth 8.0/8.0, fit 2/2 points. - apps/studio/tools/ui_check.py: 249 checks, 0 failures (twice). - shared suites: 91 tests, 0 failures (new: test_record_semantics, test_record_lifecycle, test_calibration_model, test_calibration_record, test_depth_replay). - apps/studio/tests/test_ui_smoke.py: 23/30; the 7 remaining are harness artifacts of the sandbox (4 tmp_path PermissionError, 3 parametrized tests the shim cannot drive), unchanged from before this change. - compileall clean; locale parity zh/en + t() key coverage: 0 failures. Not in this change - P2#10 disk-based browsing of a long recording and range CSV export (next round, per your choice). - Stability-triggered calibration sampling, replay fixed colour scale, PyOpenGL three-dimensional view. - Hardware verification: no camera attached, so the SDK's real processing chain and the pre-roll's effect on a live tracker were exercised with fakes only.
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@@ -22,6 +22,7 @@ apps/studio/preference.json
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.pytestlib/
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.pytest_cache/
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shared/tests/_scratch/
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shared/tests/_scratch_*/
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# IDE / OS
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.idea/
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