614 lines
26 KiB
Python
614 lines
26 KiB
Python
from __future__ import annotations
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import json
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from copy import deepcopy
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from pathlib import Path
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from typing import Any
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from uuid import uuid4
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DEFAULT_USERS = {
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'john': {
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'id': 'john',
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'display_name': 'John',
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'is_stub': False,
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'measurement_system': 'imperial',
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'height_inches': 68.5,
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'goal_weight_lbs': None,
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'notes': 'Seeded with John default height assumption from current intake.',
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},
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'manndra': {
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'id': 'manndra',
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'display_name': 'Manndra',
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'is_stub': True,
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'measurement_system': 'imperial',
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'height_inches': None,
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'goal_weight_lbs': None,
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'notes': 'Stubbed for future shared use.',
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},
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}
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SEEDED_EXERCISE_TEMPLATES = [
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{'name': 'Bench Press', 'primary_muscle': 'chest', 'equipment': 'barbell'},
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{'name': 'Incline Bench Press', 'primary_muscle': 'upper chest', 'equipment': 'barbell'},
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{'name': 'Decline Bench Press', 'primary_muscle': 'lower chest', 'equipment': 'barbell'},
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{'name': 'Butterflies', 'primary_muscle': 'chest', 'equipment': 'machine'},
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{'name': 'Lat Pulldowns', 'primary_muscle': 'back', 'equipment': 'cable'},
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{'name': 'Bent-Over Supported Rows', 'primary_muscle': 'back', 'equipment': 'machine'},
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{'name': 'Landmine Rows', 'primary_muscle': 'back', 'equipment': 'barbell'},
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{'name': 'Seated Machine Rows', 'primary_muscle': 'back', 'equipment': 'machine'},
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{'name': 'Resistance Band Ab Holds', 'primary_muscle': 'abs', 'equipment': 'band'},
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{'name': 'Lat Pulldown Drop Set', 'primary_muscle': 'back', 'equipment': 'cable'},
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{'name': 'Bicep Curls', 'primary_muscle': 'biceps', 'equipment': 'dumbbells'},
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{'name': 'Front Tricep Extensions', 'primary_muscle': 'triceps', 'equipment': 'cable'},
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{'name': 'Overhead Tricep Extensions', 'primary_muscle': 'triceps', 'equipment': 'cable'},
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{'name': 'Incline Barbell Curls', 'primary_muscle': 'biceps', 'equipment': 'barbell'},
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{'name': 'Isolation Bicep Curls', 'primary_muscle': 'biceps', 'equipment': 'machine'},
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{'name': '7-7-7 Barbell Curl', 'primary_muscle': 'biceps', 'equipment': 'barbell'},
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{'name': 'Suitcase Carry', 'primary_muscle': 'abs', 'equipment': 'dumbbell'},
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{'name': 'Shoulder Press', 'primary_muscle': 'shoulders', 'equipment': 'machine'},
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{'name': 'Arnold Press', 'primary_muscle': 'shoulders', 'equipment': 'dumbbells'},
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{'name': 'Side Lateral Raise', 'primary_muscle': 'shoulders', 'equipment': 'dumbbells'},
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{'name': 'Front Lateral Raise', 'primary_muscle': 'shoulders', 'equipment': 'dumbbells'},
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{'name': 'Upright Row', 'primary_muscle': 'shoulders', 'equipment': 'barbell'},
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{'name': 'Shoulder Shrugs', 'primary_muscle': 'traps', 'equipment': 'dumbbells'},
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{'name': '7-7-7 Shoulder Press', 'primary_muscle': 'shoulders', 'equipment': 'machine'},
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{'name': 'Resistance Band Punch-Out Training', 'primary_muscle': 'shoulders', 'equipment': 'band'},
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{'name': 'Squats', 'primary_muscle': 'legs', 'equipment': 'barbell'},
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{'name': 'Leg Extensions', 'primary_muscle': 'quads', 'equipment': 'machine'},
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{'name': 'Step Ups', 'primary_muscle': 'legs', 'equipment': 'bodyweight'},
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{'name': 'Deadlifts', 'primary_muscle': 'posterior chain', 'equipment': 'barbell'},
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{'name': 'Calf Raises', 'primary_muscle': 'calves', 'equipment': 'machine'},
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{'name': 'Resistance Band Crunches', 'primary_muscle': 'abs', 'equipment': 'band'},
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]
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SEEDED_ROUTINES = [
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{
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'user_id': 'john',
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'name': 'Monday: Chest',
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'notes': "Imported from John's current routine. Default prescription is 3 sets of 10 reps. Weights are still TBD.",
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'exercises': [
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{'exercise_name': 'Bench Press', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Incline Bench Press', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Decline Bench Press', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Butterflies', 'target_sets': 3, 'target_reps': '10'},
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],
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},
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{
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'user_id': 'john',
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'name': 'Tuesday: Back',
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'notes': "Imported from John's current routine. Default prescription is 3 sets of 10 reps. Weights are still TBD.",
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'exercises': [
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{'exercise_name': 'Lat Pulldowns', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Bent-Over Supported Rows', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Landmine Rows', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Seated Machine Rows', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Resistance Band Ab Holds', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Lat Pulldown Drop Set', 'target_sets': 3, 'target_reps': '10'},
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],
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},
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{
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'user_id': 'john',
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'name': 'Wednesday: Arms',
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'notes': "Imported from John's current routine. Default prescription is 3 sets of 10 reps. Weights are still TBD. Includes Bis and Tris focus plus suitcase carries for abs.",
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'exercises': [
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{'exercise_name': 'Bicep Curls', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Front Tricep Extensions', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Overhead Tricep Extensions', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Incline Barbell Curls', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Isolation Bicep Curls', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': '7-7-7 Barbell Curl', 'target_sets': 1, 'target_reps': '7-7-7'},
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{'exercise_name': 'Suitcase Carry', 'target_sets': 3, 'target_reps': '10'},
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],
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},
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{
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'user_id': 'john',
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'name': 'Thursday: Shoulders',
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'notes': "Imported from John's current routine. Default prescription is 3 sets of 10 reps. Weights are still TBD. Includes resistance band punch-out training.",
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'exercises': [
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{'exercise_name': 'Shoulder Press', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Arnold Press', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Side Lateral Raise', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Front Lateral Raise', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Upright Row', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Shoulder Shrugs', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': '7-7-7 Shoulder Press', 'target_sets': 1, 'target_reps': '7-7-7'},
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{'exercise_name': 'Resistance Band Punch-Out Training', 'target_sets': 3, 'target_reps': '10'},
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],
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},
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{
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'user_id': 'john',
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'name': 'Friday: Legs',
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'notes': "Imported from John's current routine. Default prescription is 3 sets of 10 reps. Weights are still TBD. Includes resistance band crunches for abs.",
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'exercises': [
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{'exercise_name': 'Squats', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Leg Extensions', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Step Ups', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Deadlifts', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Calf Raises', 'target_sets': 3, 'target_reps': '10'},
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{'exercise_name': 'Resistance Band Crunches', 'target_sets': 3, 'target_reps': '10'},
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],
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},
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]
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DEFAULT_STATE = {
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'users': DEFAULT_USERS,
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'exercise_templates': [
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{
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'id': f'seed-template-{index + 1:02d}',
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'name': template['name'],
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'primary_muscle': template.get('primary_muscle'),
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'equipment': template.get('equipment'),
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'notes': template.get('notes'),
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}
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for index, template in enumerate(SEEDED_EXERCISE_TEMPLATES)
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],
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'routines': [
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{
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'id': f'seed-routine-{index + 1:02d}',
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'user_id': routine['user_id'],
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'name': routine['name'],
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'notes': routine.get('notes'),
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'exercises': [dict(exercise) for exercise in routine['exercises']],
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}
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for index, routine in enumerate(SEEDED_ROUTINES)
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],
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'weight_entries': [],
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'measurement_entries': [],
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'workout_sessions': [],
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'active_workout_sessions': [],
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}
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LEGACY_TEMPLATE_ALIASES = {
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'resistance band punch-out holds': 'Resistance Band Punch-Out Training',
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}
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class JSONStore:
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def __init__(self, state_dir: Path) -> None:
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self.state_dir = Path(state_dir)
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self.state_path = self.state_dir / 'state.json'
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self.state_dir.mkdir(parents=True, exist_ok=True)
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if not self.state_path.exists():
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self._write(deepcopy(DEFAULT_STATE))
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return
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state = self._read()
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seeded_state = _ensure_seeded_library(state)
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if seeded_state != state:
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self._write(seeded_state)
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def _read(self) -> dict[str, Any]:
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payload = json.loads(self.state_path.read_text())
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seeded_payload = _ensure_seeded_library(payload)
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if seeded_payload != payload:
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self._write(seeded_payload)
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return seeded_payload
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def _write(self, payload: dict[str, Any]) -> None:
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self.state_path.write_text(json.dumps(payload, indent=2, sort_keys=True))
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def update_profile(self, user_id: str, changes: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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user = state['users'].get(user_id)
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if user is None:
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raise KeyError(user_id)
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for key, value in changes.items():
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if value is not None:
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user[key] = value
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state['users'][user_id] = user
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self._write(state)
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return user
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def add_weight_entry(self, user_id: str, entry: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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user = self._user_or_raise(state, user_id)
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saved = {
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'id': uuid4().hex,
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'user_id': user_id,
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'recorded_at': entry['recorded_at'],
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'weight_lbs': entry['weight_lbs'],
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'body_fat_percent': entry.get('body_fat_percent'),
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'notes': entry.get('notes'),
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'bmi': _calculate_bmi(entry['weight_lbs'], user.get('height_inches')),
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}
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state['weight_entries'].append(saved)
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self._write(state)
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return saved
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def weight_history(self, user_id: str) -> list[dict[str, Any]]:
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state = self._read()
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self._user_or_raise(state, user_id)
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return _history_for_user(state['weight_entries'], user_id, 'recorded_at')
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def add_measurement_entry(self, user_id: str, entry: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, user_id)
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saved = {
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'id': uuid4().hex,
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'user_id': user_id,
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'recorded_at': entry['recorded_at'],
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'waist_inches': entry.get('waist_inches'),
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'hip_inches': entry.get('hip_inches'),
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'chest_inches': entry.get('chest_inches'),
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'neck_inches': entry.get('neck_inches'),
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'notes': entry.get('notes'),
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}
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state['measurement_entries'].append(saved)
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self._write(state)
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return saved
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def measurement_history(self, user_id: str) -> list[dict[str, Any]]:
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state = self._read()
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self._user_or_raise(state, user_id)
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return _history_for_user(state['measurement_entries'], user_id, 'recorded_at')
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def add_exercise_template(self, payload: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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saved = {
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'id': uuid4().hex,
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'name': payload['name'],
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'primary_muscle': payload.get('primary_muscle'),
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'equipment': payload.get('equipment'),
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'notes': payload.get('notes'),
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}
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state['exercise_templates'].append(saved)
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self._write(state)
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return saved
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def list_exercise_templates(self) -> list[dict[str, Any]]:
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state = self._read()
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return sorted(state['exercise_templates'], key=lambda item: item['name'].lower())
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def add_routine(self, payload: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, payload['user_id'])
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saved = {
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'id': uuid4().hex,
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'user_id': payload['user_id'],
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'name': payload['name'],
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'notes': payload.get('notes'),
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'exercises': [dict(exercise) for exercise in payload['exercises']],
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}
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state['routines'].append(saved)
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self._write(state)
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return saved
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def list_routines(self) -> list[dict[str, Any]]:
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state = self._read()
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return sorted(state['routines'], key=lambda item: item['name'].lower())
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def get_routine(self, routine_id: str) -> dict[str, Any] | None:
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state = self._read()
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for routine in state['routines']:
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if routine.get('id') == routine_id:
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return routine
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return None
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def get_active_workout_session(self, routine_id: str, user_id: str) -> dict[str, Any] | None:
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state = self._read()
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self._user_or_raise(state, user_id)
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for session in state['active_workout_sessions']:
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if session['routine_id'] == routine_id and session['user_id'] == user_id:
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return session
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return None
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def start_active_workout_session(self, payload: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, payload['user_id'])
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state['active_workout_sessions'] = [
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session
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for session in state['active_workout_sessions']
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if not (
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session['routine_id'] == payload['routine_id'] and session['user_id'] == payload['user_id']
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)
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]
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saved = {
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'id': uuid4().hex,
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'routine_id': payload['routine_id'],
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'routine_name': payload['routine_name'],
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'user_id': payload['user_id'],
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'performed_at': payload['performed_at'],
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'notes': payload.get('notes'),
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'exercises': [],
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}
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state['active_workout_sessions'].append(saved)
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self._write(state)
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return saved
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def add_active_workout_exercise(self, routine_id: str, user_id: str, exercise: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, user_id)
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for session in state['active_workout_sessions']:
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if session['routine_id'] == routine_id and session['user_id'] == user_id:
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session['exercises'].append(
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{
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'exercise_name': exercise['exercise_name'],
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'notes': exercise.get('notes'),
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'sets': [dict(item) for item in exercise['sets']],
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}
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)
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self._write(state)
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return session
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raise KeyError((routine_id, user_id))
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def finish_active_workout_session(self, routine_id: str, user_id: str, notes: str | None = None) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, user_id)
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for session in state['active_workout_sessions']:
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if session['routine_id'] != routine_id or session['user_id'] != user_id:
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continue
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workout_payload = {
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'user_id': user_id,
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'performed_at': session['performed_at'],
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'routine_name': session['routine_name'],
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'notes': notes,
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'exercises': [
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{
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'exercise_name': exercise['exercise_name'],
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'notes': exercise.get('notes'),
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'sets': [dict(item) for item in exercise['sets']],
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}
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for exercise in session['exercises']
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],
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}
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saved_workout = self.add_workout(workout_payload)
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refreshed_state = self._read()
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refreshed_state['active_workout_sessions'] = [
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active_session
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for active_session in refreshed_state['active_workout_sessions']
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if active_session.get('id') != session['id']
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]
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self._write(refreshed_state)
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return saved_workout
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raise KeyError((routine_id, user_id))
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def add_workout(self, payload: dict[str, Any]) -> dict[str, Any]:
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state = self._read()
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self._user_or_raise(state, payload['user_id'])
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set_count = 0
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total_volume_lbs = 0.0
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exercises: list[dict[str, Any]] = []
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for exercise in payload['exercises']:
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normalized_sets = []
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for item in exercise['sets']:
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set_count += 1
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weight_lbs = item.get('weight_lbs')
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if weight_lbs is not None:
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total_volume_lbs += item['reps'] * weight_lbs
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normalized_sets.append(dict(item))
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exercises.append({
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'exercise_name': exercise['exercise_name'],
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'notes': exercise.get('notes'),
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'sets': normalized_sets,
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})
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saved = {
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'id': uuid4().hex,
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'user_id': payload['user_id'],
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'performed_at': payload['performed_at'],
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'routine_name': payload['routine_name'],
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'notes': payload.get('notes'),
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'exercise_count': len(exercises),
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'set_count': set_count,
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'total_volume_lbs': int(total_volume_lbs) if total_volume_lbs.is_integer() else total_volume_lbs,
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'exercises': exercises,
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}
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state['workout_sessions'].append(saved)
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self._write(state)
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return saved
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def workout_history(self, user_id: str) -> list[dict[str, Any]]:
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state = self._read()
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self._user_or_raise(state, user_id)
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return _history_for_user(state['workout_sessions'], user_id, 'performed_at')
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def exercise_progression(self, user_id: str) -> list[dict[str, Any]]:
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state = self._read()
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self._user_or_raise(state, user_id)
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progression: dict[str, dict[str, Any]] = {}
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for workout in _history_for_user(state['workout_sessions'], user_id, 'performed_at'):
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for exercise in workout['exercises']:
|
|
name = exercise['exercise_name']
|
|
stats = progression.setdefault(
|
|
name,
|
|
{
|
|
'exercise_name': name,
|
|
'sessions': 0,
|
|
'set_count': 0,
|
|
'max_weight_lbs': 0.0,
|
|
'best_set_estimated_1rm': 0.0,
|
|
'last_performed_at': workout['performed_at'],
|
|
},
|
|
)
|
|
stats['sessions'] += 1
|
|
if workout['performed_at'] > stats['last_performed_at']:
|
|
stats['last_performed_at'] = workout['performed_at']
|
|
for item in exercise['sets']:
|
|
stats['set_count'] += 1
|
|
weight_lbs = item.get('weight_lbs')
|
|
if weight_lbs is None:
|
|
continue
|
|
stats['max_weight_lbs'] = max(stats['max_weight_lbs'], weight_lbs)
|
|
stats['best_set_estimated_1rm'] = max(
|
|
stats['best_set_estimated_1rm'],
|
|
_estimated_1rm(weight_lbs, item['reps']),
|
|
)
|
|
results = []
|
|
for item in progression.values():
|
|
results.append(
|
|
{
|
|
**item,
|
|
'max_weight_lbs': _normalize_number(item['max_weight_lbs']),
|
|
'best_set_estimated_1rm': _normalize_number(item['best_set_estimated_1rm']),
|
|
}
|
|
)
|
|
return sorted(results, key=lambda item: item['exercise_name'].lower())
|
|
|
|
def dashboard_summary(self) -> dict[str, Any]:
|
|
state = self._read()
|
|
users = []
|
|
weight_entries = state['weight_entries']
|
|
measurement_entries = state['measurement_entries']
|
|
for user in state['users'].values():
|
|
latest_weight = _latest_entry_for_user(weight_entries, user['id'])
|
|
latest_measurements = _latest_entry_for_user(measurement_entries, user['id'])
|
|
users.append({
|
|
'id': user['id'],
|
|
'display_name': user['display_name'],
|
|
'is_stub': user['is_stub'],
|
|
'measurement_system': user.get('measurement_system', 'imperial'),
|
|
'height_inches': user['height_inches'],
|
|
'goal_weight_lbs': user['goal_weight_lbs'],
|
|
'current_weight_lbs': latest_weight['weight_lbs'] if latest_weight else None,
|
|
'current_bmi': latest_weight['bmi'] if latest_weight else None,
|
|
'last_weight_recorded_at': latest_weight['recorded_at'] if latest_weight else None,
|
|
'latest_measurements': _trim_measurement_entry(latest_measurements),
|
|
})
|
|
|
|
recent_workouts = sorted(
|
|
state['workout_sessions'],
|
|
key=lambda item: item['performed_at'],
|
|
reverse=True,
|
|
)[:5]
|
|
recent_templates = list(reversed(state['exercise_templates'][-5:]))
|
|
routine_board = _routine_board(state['routines'])
|
|
return {
|
|
'users': users,
|
|
'recent_workouts': recent_workouts,
|
|
'exercise_templates': recent_templates,
|
|
'routines': routine_board,
|
|
'counts': {
|
|
'exercise_templates': len(state['exercise_templates']),
|
|
'measurement_entries': len(state['measurement_entries']),
|
|
'routines': len(state['routines']),
|
|
'weight_entries': len(state['weight_entries']),
|
|
'workout_sessions': len(state['workout_sessions']),
|
|
},
|
|
}
|
|
|
|
def _user_or_raise(self, state: dict[str, Any], user_id: str) -> dict[str, Any]:
|
|
user = state['users'].get(user_id)
|
|
if user is None:
|
|
raise KeyError(user_id)
|
|
return user
|
|
|
|
|
|
def _latest_entry_for_user(entries: list[dict[str, Any]], user_id: str) -> dict[str, Any] | None:
|
|
matches = [entry for entry in entries if entry['user_id'] == user_id]
|
|
if not matches:
|
|
return None
|
|
return max(matches, key=lambda item: item['recorded_at'])
|
|
|
|
|
|
def _history_for_user(entries: list[dict[str, Any]], user_id: str, sort_key: str) -> list[dict[str, Any]]:
|
|
matches = [entry for entry in entries if entry['user_id'] == user_id]
|
|
return sorted(matches, key=lambda item: item[sort_key], reverse=True)
|
|
|
|
|
|
def _ensure_seeded_library(state: dict[str, Any]) -> dict[str, Any]:
|
|
payload = deepcopy(state)
|
|
payload.setdefault('users', deepcopy(DEFAULT_USERS))
|
|
payload.setdefault('exercise_templates', [])
|
|
payload.setdefault('routines', [])
|
|
payload.setdefault('weight_entries', [])
|
|
payload.setdefault('measurement_entries', [])
|
|
payload.setdefault('workout_sessions', [])
|
|
payload.setdefault('active_workout_sessions', [])
|
|
|
|
for template in payload['exercise_templates']:
|
|
legacy_name = template.get('name', '').strip().lower()
|
|
replacement_name = LEGACY_TEMPLATE_ALIASES.get(legacy_name)
|
|
if replacement_name is None:
|
|
continue
|
|
seeded_template = next(item for item in SEEDED_EXERCISE_TEMPLATES if item['name'] == replacement_name)
|
|
template['name'] = seeded_template['name']
|
|
template['primary_muscle'] = seeded_template.get('primary_muscle')
|
|
template['equipment'] = seeded_template.get('equipment')
|
|
template['notes'] = seeded_template.get('notes')
|
|
|
|
existing_template_names = {
|
|
item.get('name', '').strip().lower()
|
|
for item in payload['exercise_templates']
|
|
if item.get('name')
|
|
}
|
|
for index, template in enumerate(SEEDED_EXERCISE_TEMPLATES, start=1):
|
|
normalized_name = template['name'].strip().lower()
|
|
if normalized_name in existing_template_names:
|
|
continue
|
|
payload['exercise_templates'].append(
|
|
{
|
|
'id': f'seed-template-{index:02d}',
|
|
'name': template['name'],
|
|
'primary_muscle': template.get('primary_muscle'),
|
|
'equipment': template.get('equipment'),
|
|
'notes': template.get('notes'),
|
|
}
|
|
)
|
|
existing_template_names.add(normalized_name)
|
|
|
|
existing_routines = {
|
|
item.get('name', '').strip().lower(): item
|
|
for item in payload['routines']
|
|
if item.get('name')
|
|
}
|
|
for index, routine in enumerate(SEEDED_ROUTINES, start=1):
|
|
normalized_name = routine['name'].strip().lower()
|
|
existing_routine = existing_routines.get(normalized_name)
|
|
seeded_exercises = [dict(exercise) for exercise in routine['exercises']]
|
|
if existing_routine is not None:
|
|
existing_routine['user_id'] = routine['user_id']
|
|
existing_routine['notes'] = routine.get('notes')
|
|
existing_routine['exercises'] = seeded_exercises
|
|
continue
|
|
new_routine = {
|
|
'id': f'seed-routine-{index:02d}',
|
|
'user_id': routine['user_id'],
|
|
'name': routine['name'],
|
|
'notes': routine.get('notes'),
|
|
'exercises': seeded_exercises,
|
|
}
|
|
payload['routines'].append(new_routine)
|
|
existing_routines[normalized_name] = new_routine
|
|
|
|
return payload
|
|
|
|
|
|
def _routine_board(routines: list[dict[str, Any]]) -> list[dict[str, Any]]:
|
|
by_name = {
|
|
routine.get('name', '').strip().lower(): routine
|
|
for routine in routines
|
|
if routine.get('name')
|
|
}
|
|
ordered = []
|
|
for seeded_routine in SEEDED_ROUTINES:
|
|
matched = by_name.get(seeded_routine['name'].strip().lower())
|
|
if matched is not None:
|
|
ordered.append(matched)
|
|
return ordered
|
|
|
|
|
|
def _trim_measurement_entry(entry: dict[str, Any] | None) -> dict[str, Any] | None:
|
|
if entry is None:
|
|
return None
|
|
return {
|
|
'recorded_at': entry['recorded_at'],
|
|
'waist_inches': entry['waist_inches'],
|
|
'hip_inches': entry['hip_inches'],
|
|
'chest_inches': entry['chest_inches'],
|
|
'neck_inches': entry['neck_inches'],
|
|
}
|
|
|
|
|
|
def _normalize_number(value: float) -> int | float:
|
|
return int(value) if float(value).is_integer() else round(value, 1)
|
|
|
|
|
|
def _estimated_1rm(weight_lbs: float, reps: int) -> float:
|
|
return weight_lbs * (1 + reps / 30)
|
|
|
|
|
|
def _calculate_bmi(weight_lbs: float, height_inches: float | None) -> float | None:
|
|
if not height_inches:
|
|
return None
|
|
return 703 * weight_lbs / (height_inches * height_inches)
|