Update database scheming naming convention
This commit is contained in:
16
utils.py
16
utils.py
@@ -1,4 +1,4 @@
|
||||
from datetime import datetime
|
||||
from datetime import date
|
||||
import json
|
||||
|
||||
|
||||
@@ -14,7 +14,7 @@ def get_workouts(topsets):
|
||||
t for t in topsets if t['WorkoutId'] == workout_id]
|
||||
workouts.append({
|
||||
'WorkoutId': workout_id,
|
||||
'StartDate': datetime.strptime(topsets_in_workout[0]['StartDate'], "%Y-%m-%d").strftime("%b %d %Y"),
|
||||
'StartDate': topsets_in_workout[0]['StartDate'].strftime("%b %d %Y"),
|
||||
'TopSets': [{"TopSetId": t['TopSetId'], "ExerciseId": t['ExerciseId'], "ExerciseName": t['ExerciseName'], "Weight": t['Weight'], "Repetitions": t['Repetitions']} for t in topsets_in_workout]
|
||||
})
|
||||
return workouts
|
||||
@@ -47,7 +47,7 @@ def get_rep_maxes_for_person(person_topsets):
|
||||
max_weight = max([t['Weight'] for t in reps])
|
||||
max_topset_for_rep = [t for t in reps if t['Weight'] == max_weight]
|
||||
topsets_for_exercise.append({
|
||||
'StartDate': datetime.strptime(max_topset_for_rep[0]['StartDate'], "%Y-%m-%d").strftime("%b %d %Y"),
|
||||
'StartDate': max_topset_for_rep[0]['StartDate'].strftime("%b %d %Y"),
|
||||
'Repetitions': rep,
|
||||
'Weight': max_weight,
|
||||
'Estimated1RM': max_topset_for_rep[0]['Estimated1RM'],
|
||||
@@ -62,7 +62,7 @@ def get_rep_maxes_for_person(person_topsets):
|
||||
'ExerciseName': e['ExerciseName'],
|
||||
'RepMaxes': topsets_for_exercise,
|
||||
'EstimatedOneRepMaxProgressions': {
|
||||
'StartDates': json.dumps([t['StartDate'] for t in exercise_topsets]),
|
||||
'StartDates': json.dumps([t['StartDate'].strftime("%Y-%m-%d") for t in exercise_topsets]),
|
||||
'TopSets': json.dumps([f"{t['Repetitions']} x {t['Weight']}kg" for t in exercise_topsets]),
|
||||
'Estimated1RMs': json.dumps([t['Estimated1RM'] for t in exercise_topsets]),
|
||||
}
|
||||
@@ -93,8 +93,8 @@ def get_stats_from_topsets(topsets):
|
||||
for t in topsets if t['WorkoutId'] is not None]))
|
||||
people_count = len(set([t['PersonId']
|
||||
for t in topsets if t['PersonId'] is not None]))
|
||||
workout_start_dates = [datetime.strptime(
|
||||
t['StartDate'], '%Y-%m-%d') for t in topsets if t['StartDate'] is not None]
|
||||
workout_start_dates = [t['StartDate']
|
||||
for t in topsets if t['StartDate'] is not None]
|
||||
|
||||
stats = [{"Text": "Total Workouts", "Value": workout_count}]
|
||||
if people_count > 1:
|
||||
@@ -104,11 +104,11 @@ def get_stats_from_topsets(topsets):
|
||||
last_workout_date = max(workout_start_dates)
|
||||
|
||||
stats.append({"Text": "Days Since First Workout", "Value": (
|
||||
datetime.now() - first_workout_date).days})
|
||||
date.today() - first_workout_date).days})
|
||||
if workout_count >= 2:
|
||||
stats.append({"Text": "Days Since Last Workout",
|
||||
"Value": (
|
||||
datetime.now() - last_workout_date).days})
|
||||
date.today() - last_workout_date).days})
|
||||
|
||||
training_duration = last_workout_date - first_workout_date
|
||||
average_workouts_per_week = round(
|
||||
|
||||
Reference in New Issue
Block a user