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Running on Zero
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from pathlib import Path
import math
import sys
from typing import Callable
import unittest
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
from pozify.contracts import (
PoseFrame,
PoseSequence,
Rep,
Reps,
UserProfile,
VideoManifest,
)
from pozify.exercises import create_exercise_strategy
def _frame(frame_index: int, landmarks: dict[str, dict[str, float]]) -> PoseFrame:
return PoseFrame(
frame_index=frame_index,
timestamp_sec=round(frame_index / 30.0, 3),
landmarks=landmarks,
world_landmarks={},
pose_quality={"mean_visibility": 0.95, "normalized": True},
)
def _wave(frame_index: int, cycle_frames: int) -> float:
return (1.0 - math.cos(2.0 * math.pi * (frame_index / cycle_frames))) / 2.0
def _push_up_landmarks(depth: float, *, hand_ratio: float = 1.7) -> dict[str, dict[str, float]]:
shoulder_y = 0.38 + depth * 0.16
hip_y = 0.46 + depth * 0.16
ankle_y = 0.54 + depth * 0.16
elbow_y = 0.46 + depth * 0.1
wrist_y = 0.5 + depth * 0.04
shoulder_width = 0.4
hand_width = shoulder_width * hand_ratio
return {
"left_shoulder": {"x": 0.3, "y": shoulder_y},
"right_shoulder": {"x": 0.7, "y": shoulder_y},
"left_elbow": {"x": 0.36 + depth * 0.02, "y": elbow_y},
"right_elbow": {"x": 0.64 - depth * 0.02, "y": elbow_y},
"left_wrist": {"x": 0.5 - hand_width / 2, "y": wrist_y},
"right_wrist": {"x": 0.5 + hand_width / 2, "y": wrist_y},
"left_hip": {"x": 0.42, "y": hip_y},
"right_hip": {"x": 0.58, "y": hip_y},
"left_ankle": {"x": 0.44, "y": ankle_y},
"right_ankle": {"x": 0.56, "y": ankle_y},
}
def _knee_push_up_landmarks(depth: float, *, hand_ratio: float = 1.1) -> dict[str, dict[str, float]]:
shoulder_y = 0.38 + depth * 0.16
hip_y = 0.46 + depth * 0.16
knee_y = hip_y + 0.03
ankle_y = hip_y + 0.28
elbow_y = 0.46 + depth * 0.1
wrist_y = 0.5 + depth * 0.04
shoulder_width = 0.4
hand_width = shoulder_width * hand_ratio
return {
"left_shoulder": {"x": 0.3, "y": shoulder_y},
"right_shoulder": {"x": 0.7, "y": shoulder_y},
"left_elbow": {"x": 0.36 + depth * 0.02, "y": elbow_y},
"right_elbow": {"x": 0.64 - depth * 0.02, "y": elbow_y},
"left_wrist": {"x": 0.5 - hand_width / 2, "y": wrist_y},
"right_wrist": {"x": 0.5 + hand_width / 2, "y": wrist_y},
"left_hip": {"x": 0.42, "y": hip_y},
"right_hip": {"x": 0.58, "y": hip_y},
"left_knee": {"x": 0.44, "y": knee_y},
"right_knee": {"x": 0.56, "y": knee_y},
"left_ankle": {"x": 0.44, "y": ankle_y},
"right_ankle": {"x": 0.56, "y": ankle_y},
}
def _straight_leg_push_up_landmarks(depth: float) -> dict[str, dict[str, float]]:
shoulder_y = 0.38 + depth * 0.1
hip_y = 0.46 + depth * 0.1
knee_y = 0.5 + depth * 0.1
ankle_y = 0.52 + depth * 0.1
elbow_y = 0.46 + depth * 0.06
wrist_y = 0.52 + depth * 0.02
return {
"left_shoulder": {"x": 0.3, "y": shoulder_y},
"right_shoulder": {"x": 0.32, "y": shoulder_y},
"left_elbow": {"x": 0.35, "y": elbow_y},
"right_elbow": {"x": 0.37, "y": elbow_y},
"left_wrist": {"x": 0.42, "y": wrist_y},
"right_wrist": {"x": 0.44, "y": wrist_y},
"left_hip": {"x": 0.58, "y": hip_y},
"right_hip": {"x": 0.6, "y": hip_y},
"left_knee": {"x": 0.72, "y": knee_y},
"right_knee": {"x": 0.74, "y": knee_y},
"left_ankle": {"x": 0.88, "y": ankle_y},
"right_ankle": {"x": 0.9, "y": ankle_y},
}
def _squat_landmarks(depth: float, *, stance_ratio: float = 1.5) -> dict[str, dict[str, float]]:
shoulder_width = 0.2
stance_width = shoulder_width * stance_ratio
hip_y = 0.52 + depth * 0.22
shoulder_y = 0.28 + depth * 0.06
knee_y = 0.7
return {
"left_shoulder": {"x": 0.4, "y": shoulder_y},
"right_shoulder": {"x": 0.6, "y": shoulder_y},
"left_hip": {"x": 0.43, "y": hip_y},
"right_hip": {"x": 0.57, "y": hip_y},
"left_knee": {"x": 0.43 + depth * 0.05, "y": knee_y},
"right_knee": {"x": 0.57 - depth * 0.05, "y": knee_y},
"left_ankle": {"x": 0.5 - stance_width / 2, "y": 0.92},
"right_ankle": {"x": 0.5 + stance_width / 2, "y": 0.92},
}
def _shoulder_press_landmarks(lift: float, *, partial: bool = True) -> dict[str, dict[str, float]]:
wrist_top = 0.56 if partial else 0.42
wrist_y = 0.76 - lift * (0.76 - wrist_top)
elbow_y = 0.6 - lift * 0.06
return {
"left_shoulder": {"x": 0.42, "y": 0.42},
"right_shoulder": {"x": 0.58, "y": 0.42},
"left_elbow": {"x": 0.4 - lift * 0.02, "y": elbow_y},
"right_elbow": {"x": 0.6 + lift * 0.02, "y": elbow_y},
"left_wrist": {"x": 0.4, "y": wrist_y},
"right_wrist": {"x": 0.6, "y": wrist_y},
"left_hip": {"x": 0.44, "y": 0.74},
"right_hip": {"x": 0.56, "y": 0.74},
}
def _sequence(exercise: str) -> PoseSequence:
frames = []
for frame_index in range(25):
wave = _wave(frame_index, 24)
if exercise == "push_up":
landmarks = _push_up_landmarks(wave)
elif exercise == "shoulder_press":
landmarks = _shoulder_press_landmarks(wave)
else:
landmarks = _squat_landmarks(wave)
frames.append(_frame(frame_index, landmarks))
return PoseSequence(
frames=frames,
normalized=True,
smoothing_method="none",
pose_valid_ratio=1.0,
)
def _custom_sequence(
landmark_factory: Callable[[float], dict[str, dict[str, float]]],
) -> PoseSequence:
frames = []
for frame_index in range(25):
frames.append(_frame(frame_index, landmark_factory(_wave(frame_index, 24))))
return PoseSequence(
frames=frames,
normalized=True,
smoothing_method="none",
pose_valid_ratio=1.0,
)
def _reps(exercise: str) -> Reps:
return Reps(
exercise=exercise,
reps=[Rep(1, 0, 12, 24, 0.0, 0.4, 0.8)],
partial_reps=[],
)
def _profile() -> UserProfile:
return UserProfile(
goal="beginner_practice",
experience_level="beginner",
intended_exercise="auto",
intended_variation=None,
known_limitations=[],
equipment="bodyweight",
)
def _video_manifest(sequence: PoseSequence) -> VideoManifest:
return VideoManifest(
video_path=None,
fps=30.0,
duration_sec=round(len(sequence.frames) / 30.0, 3),
total_frames=len(sequence.frames),
sampled_frames=len(sequence.frames),
width=720,
height=1280,
codec=None,
container=None,
brightness_mean=None,
blur_laplacian_var=None,
quality_warnings=[],
analysis_allowed=True,
)
def _exercise_strategy(exercise: str, sequence: PoseSequence, profile: UserProfile | None = None):
return create_exercise_strategy(
exercise,
video_manifest=_video_manifest(sequence),
pose_sequence=sequence,
profile=profile or _profile(),
)
class RepAnalysisVariationTests(unittest.TestCase):
def test_push_up_metrics_detect_wide_grip_variation(self) -> None:
sequence = _sequence("push_up")
exercise = _exercise_strategy("push_up", sequence)
analysis = exercise.analyze_reps(_reps("push_up"))
variation = exercise.resolve_variation(analysis)
self.assertEqual(variation.detected_variation, "wide_grip_push_up")
self.assertIn("wide_hand_placement", variation.not_issues)
self.assertGreater(analysis.items[0].metrics["hand_width_ratio"], 1.45)
self.assertIn("body_line_score", analysis.items[0].metrics)
def test_push_up_metrics_detect_knee_push_up_variation(self) -> None:
sequence = _custom_sequence(_knee_push_up_landmarks)
exercise = _exercise_strategy("push_up", sequence)
analysis = exercise.analyze_reps(_reps("push_up"))
variation = exercise.resolve_variation(analysis)
self.assertEqual(variation.detected_variation, "knee_push_up")
self.assertIn("knee_contact", variation.not_issues)
self.assertGreaterEqual(analysis.aggregate_metrics["avg_knee_support_score"], 0.8)
def test_straight_leg_push_up_does_not_false_positive_as_knee_push_up(self) -> None:
sequence = _custom_sequence(_straight_leg_push_up_landmarks)
exercise = _exercise_strategy("push_up", sequence)
analysis = exercise.analyze_reps(_reps("push_up"))
variation = exercise.resolve_variation(analysis)
self.assertNotEqual(variation.detected_variation, "knee_push_up")
self.assertNotIn("knee_contact", variation.not_issues)
self.assertLess(analysis.aggregate_metrics["avg_knee_support_score"], 0.8)
def test_squat_metrics_detect_wide_stance_variation(self) -> None:
sequence = _sequence("squat")
exercise = _exercise_strategy("squat", sequence)
analysis = exercise.analyze_reps(_reps("squat"))
variation = exercise.resolve_variation(analysis)
self.assertEqual(variation.detected_variation, "wide_squat_stance")
self.assertIn("wide_stance", variation.not_issues)
self.assertGreater(analysis.items[0].metrics["stance_width_ratio"], 1.35)
self.assertIn("min_knee_angle_deg", analysis.items[0].metrics)
def test_shoulder_press_metrics_detect_partial_press_variation(self) -> None:
sequence = _sequence("shoulder_press")
exercise = _exercise_strategy("shoulder_press", sequence)
analysis = exercise.analyze_reps(_reps("shoulder_press"))
variation = exercise.resolve_variation(analysis)
self.assertEqual(variation.detected_variation, "partial_press")
self.assertIn("partial_range_of_motion", variation.not_issues)
self.assertIn("lockout_quality", analysis.items[0].metrics)
self.assertLess(analysis.aggregate_metrics["avg_wrist_travel"], 0.24)
def test_profile_intended_variation_overrides_metric_rule(self) -> None:
profile = UserProfile(
goal="beginner_practice",
experience_level="beginner",
intended_exercise="push_up",
intended_variation="close_grip_push_up",
known_limitations=[],
equipment="bodyweight",
)
sequence = _sequence("push_up")
exercise = _exercise_strategy("push_up", sequence, profile)
analysis = exercise.analyze_reps(_reps("push_up"))
variation = exercise.resolve_variation(analysis)
self.assertEqual(variation.detected_variation, "close_grip_push_up")
self.assertEqual(variation.variation_confidence, 0.95)
self.assertIn("close_hand_placement", variation.not_issues)
if __name__ == "__main__":
unittest.main()
|