105 lines
4.0 KiB
Python
105 lines
4.0 KiB
Python
from .models import Workout
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from superset.helpers import get_first_up_superset_exercise
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from superset.models import Superset, SupersetExercise
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from superset.serializers import SupersetExerciseSerializer
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import json
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def create_all_exercise_list_for_workout(workout):
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all_superset_exercise = []
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# add a beginning workout superset
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first_up_superset_exercise = get_first_up_superset_exercise(None)
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data = SupersetExerciseSerializer(first_up_superset_exercise, many=False).data
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audio_queues = default_beeps()
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superset = Superset.objects.filter(workout=workout).order_by('order').first()
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if superset is not None:
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supersetExercise = SupersetExercise.objects.filter(superset=superset).order_by('order').first()
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if supersetExercise is not None:
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next_up_data = {
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"audio_url": supersetExercise.exercise.audio_url().lower(),
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"play_at": 7
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}
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starting_off_with = {
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"audio_url": "transitions_audio/starting_off_with.m4a",
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"play_at": 8
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}
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audio_queues.append(next_up_data)
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audio_queues.append(starting_off_with)
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data["audio_queues"] = audio_queues
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all_superset_exercise.append(data)
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supersets = Superset.objects.filter(workout=workout).order_by('order')
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order = 2
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for superset_count, superset in enumerate(supersets):
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supersetExercises = SupersetExercise.objects.filter(superset=superset).order_by('order')
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for x in range(superset.rounds):
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for exercise_idx, exercise in enumerate(supersetExercises):
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exercise.order = order
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ser_data = SupersetExerciseSerializer(exercise, many=False).data
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ser_data.mutable = True
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audio_queues = default_beeps()
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if exercise.duration is not None and exercise.duration > 0 :
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coming_up_data = {
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"audio_url": "transitions_audio/coming_up.m4a",
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"play_at": 8
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}
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audio_queues.append(coming_up_data)
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if len(supersetExercises) > exercise_idx+1:
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next_exercise = supersetExercises[exercise_idx+1]
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next_up_data = {
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"audio_url": next_exercise.exercise.audio_url().lower(),
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"play_at": 7
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}
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audio_queues.append(next_up_data)
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elif x < superset.rounds - 1:
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first_exercise = supersetExercises.first()
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next_up_data = {
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"audio_url": first_exercise.exercise.audio_url().lower(),
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"play_at": 7
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}
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audio_queues.append(next_up_data)
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elif len(supersets) > superset_count+1:
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next_superset = supersets[superset_count+1]
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next_supersetExercises = SupersetExercise.objects.filter(superset=next_superset).order_by('order').first()
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next_up_data = {
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"audio_url": next_supersetExercises.exercise.audio_url().lower(),
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"play_at": 7
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}
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audio_queues.append(next_up_data)
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ser_data["audio_queues"] = audio_queues
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all_superset_exercise.append(ser_data)
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order += 1
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return all_superset_exercise
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def default_beeps():
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short_beep_start = 5
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short_beep_end = 2
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long_beep_start = 1
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audio_queues = []
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for x in range(short_beep_end, short_beep_start):
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audio_queues.append({
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"play_at" : x,
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"audio_url": "short_beep",
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})
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audio_queues.append({
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"play_at" : long_beep_start,
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"audio_url": "long_beep",
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})
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return audio_queues |