Files
orisys-sdk/tests/test_pipeline.py
T
ykcheungab b5d7533e24 examples: make StreamPipeline the recommended entry, archive the manual loop
The two canonical examples taught the advanced path: they sequenced
get_img() -> compute_deformation() -> compute_contact() -> read_info() by hand
and unpacked a 13-element tuple positionally, which is what led developers to
reach for the compute backend, the capture queue and the stitch mode. The
managed alternative already existed and was documented nowhere.

Library (add-only, nothing removed):

- FrameSnapshot.image_size_raw carries the capture resolution, so a caller can
  compare it with the processed frame instead of reaching into Sensor.
- StreamPipeline.reset() resets the tracker and force filters *safely*. It is
  queued and applied by the flow stage before its next frame, never inline:
  Sensor.reset rebases initial_img on the current Sensor.img, which the flow
  stage is reading concurrently, so a caller-thread reset would capture a
  half-written reference frame. Idempotent.
- TactileProcessor.pipeline(produce) and FingerRuntime.pipeline() build a
  pipeline without the caller naming a backend concept; the latter is
  `with runtime.pipeline(contact=True) as pipe`.

Examples:

- examples/basic_pipeline.py and examples/finger_pipeline.py rewritten onto
  StreamPipeline + FrameSnapshot: one object, one call per frame, no tuple, and
  no compute backend, queue or stitch setting in sight.
- examples/archive/basic_pipeline_manual.py and _finger_pipeline_manual.py keep
  the previous versions byte-for-byte apart from a supersede header, so code
  copied from them keeps working. The finger header also records the archived
  --show defect (store_true with default=True, so it could never be disabled).
- examples/_display.py holds the shared display helpers, so an example no longer
  hand-rolls depth normalisation and colormap application.
- examples/README.md leads with the recommended pair and documents the manual
  form as still-supported, and states that examples/gui/ is moving to
  orisys-studio.

Tests: three added to tests/test_pipeline.py, covering the reset queue (it must
not run on the caller's thread and must land before the first compute_flow),
image_size_raw, and the None case when a producer reports no size. Verified the
reset test fails when reset() is made inline, so it discriminates.

Verified end-to-end against real media: basic_pipeline on data/sample/s1_480p.mp4
(box) reaches ~113 FPS and exits 0; finger_pipeline on data/dd02-0703/1.mp4
(finger) reaches ~140 FPS with mask coverage 0.41 and exits 0. Both archived
manual versions still run. tests/test_pipeline.py: 20 passed. Full suite:
342 passed, 3 failed - all three failures reproduce on the pristine tree
(import precedence, longrun timing, and a stale ruff version literal in
docs/code-review.md) and are unrelated to this change.
2026-09-30 17:09:02 +08:00

408 lines
14 KiB
Python

"""StreamPipeline: staging, snapshot immutability, error propagation, shutdown."""
from __future__ import annotations
import threading
import time
import numpy as np
import pytest
from orisys import FrameSnapshot, StreamPipeline
class FakeSensor:
"""Minimal Sensor stand-in with the same mutable-buffer behaviour.
It deliberately reuses one image buffer (like ``Sensor._img_gray_buf``) so the
pipeline's private-copy contract is actually exercised.
"""
class info:
VRAW = "vraw"
VNORMAL = "vnormal"
VSHEAR = "vshear"
DEPTH = "depth"
CENTROID = "centroid"
CONTOUR = "contour"
def __init__(self, *, fail_at: int | None = None, flow_delay: float = 0.0,
hhd_delay: float = 0.0):
self.img = None
self.flow = None
self.vnormal = None
self.vshear = None
self.depth_map = None
self.centroid = (0, 0)
self.contour = np.empty(0)
self.ftor = 0.0
self._force_raw = (0.0, 0.0, 0.0)
self.fnormal = self.fshearx = self.fsheary = 0.0
self.force_unit = "raw"
self._img_buf = np.zeros((8, 8), dtype=np.uint8)
self._flow_buf = np.zeros((8, 8, 2), dtype=np.float32)
self._flow_delay = flow_delay
self._hhd_delay = hhd_delay
self._fail_at = fail_at
self._flow_calls = 0
self._seen_images: list[np.ndarray] = []
self._seen_flow_values: list[float] = []
self.contact_calls = 0
#: Mirrors ``Sensor.reset()``, which rebases ``initial_img`` on the current frame. Records
#: the frame sequence at each call so a test can prove the reset did not race the flow
#: stage's read of that buffer.
self.img_size_raw = None
self.reset_calls = 0
self.reset_at_frame: list[int] = []
def make_frame(self, seq: int) -> np.ndarray:
# writes INTO the shared buffer, exactly like cv2.resize(dst=...)
self._img_buf.fill(seq % 251)
self.img = self._img_buf
return self._img_buf
def compute_flow(self, img=None, **kwargs) -> None:
image = self.img if img is None else img
self._flow_calls += 1
if self._fail_at is not None and self._flow_calls == self._fail_at:
raise RuntimeError("flow exploded")
self._seen_images.append(np.array(image, copy=True))
time.sleep(self._flow_delay)
# rewrite the shared buffer, like the real DIS/EMA path does
self._flow_buf.fill(float(self._flow_calls))
self.flow = self._flow_buf
def compute_hhd(self, flow=None, **kwargs) -> None:
# Mirrors Sensor.compute_hhd, which derives the forces from the field it
# is given - so this only yields frame N's forces if the pipeline passes
# frame N's flow explicitly.
time.sleep(self._hhd_delay)
field = self.flow if flow is None else flow
value = (float(field[0, 0, 0])
if isinstance(field, np.ndarray) and field.size else 0.0)
self._seen_flow_values.append(value)
self.fnormal = value * 10.0
self.fshearx = value
self.fsheary = -value
self._force_raw = (self.fnormal, self.fshearx, self.fsheary)
self.ftor = value
self.vnormal = self._flow_buf
self.vshear = self._flow_buf
def compute_contact(self) -> None:
self.contact_calls += 1
self.centroid = (1, 2)
self.contour = np.zeros((1, 1, 2), dtype=np.int32)
self.depth_map = np.zeros((8, 8), dtype=np.float32)
def reset(self) -> None:
self.reset_calls += 1
self.reset_at_frame.append(self._flow_calls)
def read_info(self, *args):
source = {
self.info.VRAW: lambda: self.flow.copy(),
self.info.VNORMAL: lambda: self.vnormal.copy(),
self.info.VSHEAR: lambda: self.vshear.copy(),
self.info.DEPTH: lambda: self.depth_map.copy(),
self.info.CENTROID: lambda: np.array(self.centroid),
self.info.CONTOUR: lambda: self.contour.copy(),
}
return tuple(source[a]() for a in args)
def make_producer(sensor: FakeSensor, count: int):
state = {"i": 0}
def produce():
if state["i"] >= count:
return None
frame = sensor.make_frame(state["i"])
state["i"] += 1
return frame
return produce
def run_all(sensor: FakeSensor, count: int, **kwargs):
"""Drive the pipeline with an exhaustive consumer: every frame, in order."""
frames: list = []
kwargs.setdefault("depth", 2)
pipe = StreamPipeline(sensor, make_producer(sensor, count),
on_frame=frames.append, **kwargs)
pipe.start()
deadline = time.perf_counter() + 10.0
while len(frames) < count and time.perf_counter() < deadline:
if pipe.error is not None:
break
time.sleep(0.001)
pipe.stop()
return pipe, frames
def test_on_frame_receives_every_frame_in_order():
sensor = FakeSensor()
pipe, frames = run_all(sensor, 12)
assert len(frames) == 12
assert [s.seq for s in frames] == list(range(12))
assert pipe.stats.produced == 12
assert pipe.stats.published == 12
def test_forces_come_from_the_matching_frame():
"""Each snapshot must carry the forces computed from its own frame's flow."""
sensor = FakeSensor()
_, frames = run_all(sensor, 10)
# frame i's flow value is (i + 1); the fake derives the force from self.flow,
# so a mismatched pairing would show up as a repeated or skipped value.
assert sensor._seen_flow_values == [float(i + 1) for i in range(10)]
assert [s.normal_force for s in frames] == [10.0 * (i + 1) for i in range(10)]
assert [s.shear_x for s in frames] == [float(i + 1) for i in range(10)]
def test_stages_do_not_read_a_rewritten_image_buffer():
"""The producer reuses one buffer; no stage may observe a later frame."""
sensor = FakeSensor(flow_delay=0.004)
run_all(sensor, 8)
seen = sensor._seen_images
assert len(seen) == 8
for i, arr in enumerate(seen):
assert np.all(arr == i % 251), f"frame {i} was overwritten before flow ran"
def test_snapshot_arrays_are_private_copies():
sensor = FakeSensor()
_, frames = run_all(sensor, 4, include=("image", "flow", "vnormal"))
first = frames[0]
assert isinstance(first, FrameSnapshot)
assert first.image is not None and first.flow is not None
saved = first.flow.copy()
# the SDK keeps rewriting its buffers; the snapshot must not change
sensor._flow_buf.fill(999.0)
sensor._img_buf.fill(7)
assert np.array_equal(first.flow, saved)
assert not np.any(first.flow == 999.0)
def test_include_filters_which_arrays_are_copied():
sensor = FakeSensor()
_, frames = run_all(sensor, 3, include=("vnormal",))
assert frames[0].vnormal is not None
assert frames[0].image is None and frames[0].flow is None
assert frames[0].depth is None and frames[0].contour is None
def test_rejects_unknown_include_field():
sensor = FakeSensor()
with pytest.raises(ValueError):
StreamPipeline(sensor, make_producer(sensor, 1), include=("floww",))
def test_contact_stage_runs_when_requested():
sensor = FakeSensor()
_, frames = run_all(sensor, 5, contact=True,
include=("depth", "centroid", "contour"))
assert sensor.contact_calls == 5
assert frames[-1].depth is not None
assert frames[-1].centroid is not None
assert frames[-1].contour is not None
def test_stage_exception_surfaces_on_stop():
sensor = FakeSensor(fail_at=3)
pipe = StreamPipeline(sensor, make_producer(sensor, 20), depth=2)
pipe.start()
time.sleep(0.4)
with pytest.raises(RuntimeError, match="flow exploded"):
pipe.stop()
def test_stage_exception_surfaces_on_wait():
sensor = FakeSensor(fail_at=2)
pipe = StreamPipeline(sensor, make_producer(sensor, 20), depth=2)
pipe.start()
with pytest.raises(RuntimeError):
for _ in range(50):
pipe.wait(timeout=0.1)
pipe.stop()
def test_stop_is_idempotent():
sensor = FakeSensor()
pipe, _ = run_all(sensor, 4)
pipe.stop() # second stop must not raise
assert not pipe.running
assert pipe.latest() is not None
def test_stop_while_running_does_not_hang():
"""Stopping mid-stream must unblock the consumer threads.
The producer stops delivering sentinels once the done flag is set, so a
bare blocking Queue.get() in a consumer would wait forever.
"""
sensor = FakeSensor(flow_delay=0.002)
pipe = StreamPipeline(sensor, make_producer(sensor, 100000), depth=2)
pipe.start()
assert pipe.wait(timeout=2.0) is not None
t0 = time.perf_counter()
pipe.stop(timeout=5.0)
elapsed = time.perf_counter() - t0
assert elapsed < 2.0, f"stop() took {elapsed:.2f}s; a stage was still blocked"
assert not pipe.running
def test_context_manager_stops_threads():
sensor = FakeSensor()
frames: list = []
with StreamPipeline(sensor, make_producer(sensor, 6),
on_frame=frames.append) as pipe:
deadline = time.perf_counter() + 5.0
while len(frames) < 6 and time.perf_counter() < deadline:
time.sleep(0.001)
assert len(frames) == 6
assert not pipe.running
def test_wait_exposes_a_latest_wins_view():
sensor = FakeSensor()
pipe = StreamPipeline(sensor, make_producer(sensor, 5))
pipe.start()
last = None
while True:
snap = pipe.wait(timeout=2.0)
if snap is None:
break
if last is not None:
assert snap.seq > last.seq
last = snap
# the pipeline has drained; the final snapshot is the last frame
assert last is not None and last.normal_force == 50.0
assert pipe.latest() is last
# nothing new is coming, so a further poll returns immediately
assert pipe.wait(timeout=0.2) is None
pipe.stop()
def test_wait_timeout_returns_none_without_new_frames():
sensor = FakeSensor()
pipe = StreamPipeline(sensor, make_producer(sensor, 1))
pipe.start()
assert pipe.wait(timeout=1.0) is not None
t0 = time.perf_counter()
assert pipe.wait(timeout=0.1) is None
assert time.perf_counter() - t0 < 1.0
pipe.stop()
def test_stats_track_stage_times_and_age():
sensor = FakeSensor(flow_delay=0.002, hhd_delay=0.001)
pipe, _ = run_all(sensor, 15)
d = pipe.stats.as_dict()
assert d["published"] == 15
assert d["flow_ms"] >= 1.5 # the injected delay shows up
assert d["hhd_ms"] >= 0.8
assert d["age_ms"] > 0.0
assert d["fps"] > 0.0
assert d["produce_ms"] >= 0.0
def test_depth_does_not_change_results():
for depth in (1, 2, 4):
sensor = FakeSensor()
_, frames = run_all(sensor, 10, depth=depth)
assert [s.normal_force for s in frames] == [10.0 * (i + 1) for i in range(10)]
def test_for_finger_runtime_maps_eof_to_none():
"""``for_finger_runtime`` drives ``grab_and_process`` and maps EOF to None."""
sensor = FakeSensor()
state = {"i": 0}
class FakeRuntime:
tactile = type("T", (), {"raw_sensor": sensor})()
def grab_and_process(self, color=False):
if state["i"] >= 3:
return False, None
frame = sensor.make_frame(state["i"])
state["i"] += 1
return True, frame
frames: list = []
pipe = StreamPipeline.for_finger_runtime(FakeRuntime(), on_frame=frames.append)
pipe.start()
deadline = time.perf_counter() + 5.0
while len(frames) < 3 and time.perf_counter() < deadline:
time.sleep(0.001)
pipe.stop()
assert len(frames) == 3
assert pipe.stats.produced == 3
def test_reset_is_applied_on_the_flow_stage_not_the_caller():
"""``reset()`` must not run on the caller's thread.
``Sensor.reset`` rebases ``initial_img`` on the current ``Sensor.img``, and the flow stage is
reading that buffer concurrently, so a caller-thread reset would capture a half-written
reference frame. The pipeline queues it and applies it before the next frame instead.
"""
sensor = FakeSensor()
ready = threading.Event()
release = threading.Event()
def gated_produce():
# Hold the producer until the caller has asked for a reset, so the reset is provably
# queued before any frame reaches the flow stage.
ready.set()
release.wait(timeout=5.0)
return sensor.make_frame(0)
frames: list = []
pipe = StreamPipeline(sensor, gated_produce, on_frame=frames.append)
pipe.start()
assert ready.wait(timeout=5.0)
pipe.reset()
pipe.reset() # idempotent: a second request before the next frame is not doubled
assert sensor.reset_calls == 0, "reset must not run on the caller's thread"
release.set()
deadline = time.perf_counter() + 5.0
while not frames and time.perf_counter() < deadline:
time.sleep(0.001)
pipe.stop()
assert sensor.reset_calls == 1, f"expected one queued reset, got {sensor.reset_calls}"
assert sensor.reset_at_frame == [0], (
"the reset must land before the first compute_flow, not after it"
)
def test_snapshot_carries_the_raw_capture_size():
"""``image_size_raw`` lets a caller compare the processed frame with the capture resolution."""
sensor = FakeSensor()
sensor.img_size_raw = (1280, 720)
frames: list = []
pipe = StreamPipeline(sensor, make_producer(sensor, 1), on_frame=frames.append)
pipe.start()
deadline = time.perf_counter() + 5.0
while not frames and time.perf_counter() < deadline:
time.sleep(0.001)
pipe.stop()
assert frames and frames[0].image_size_raw == (1280, 720)
def test_snapshot_raw_capture_size_is_none_when_unreported():
"""A producer that never sets the size must not fabricate one."""
sensor = FakeSensor()
sensor.img_size_raw = None
frames: list = []
pipe = StreamPipeline(sensor, make_producer(sensor, 1), on_frame=frames.append)
pipe.start()
deadline = time.perf_counter() + 5.0
while not frames and time.perf_counter() < deadline:
time.sleep(0.001)
pipe.stop()
assert frames and frames[0].image_size_raw is None