557 lines
23 KiB
Python
557 lines
23 KiB
Python
import os
|
|
import psycopg2
|
|
import numpy as np
|
|
from psycopg2.extras import RealDictCursor
|
|
from datetime import datetime
|
|
from urllib.parse import urlparse
|
|
from flask import g
|
|
|
|
|
|
from utils import get_all_exercises_from_topsets, get_stats_from_topsets, get_workouts
|
|
|
|
|
|
class DataBase():
|
|
def __init__(self, app):
|
|
db_url = urlparse(os.environ['DATABASE_URL'])
|
|
# if db_url is null then throw error
|
|
if not db_url:
|
|
raise Exception("No DATABASE_URL environment variable set")
|
|
|
|
def getDB(self):
|
|
db = getattr(g, 'database', None)
|
|
if db is None:
|
|
db_url = urlparse(os.environ['DATABASE_URL'])
|
|
g.database = psycopg2.connect(
|
|
database=db_url.path[1:],
|
|
user=db_url.username,
|
|
password=db_url.password,
|
|
host=db_url.hostname,
|
|
port=db_url.port
|
|
)
|
|
db = g.database
|
|
return db
|
|
|
|
def close_connection(exception):
|
|
db = getattr(g, 'database', None)
|
|
if db is not None:
|
|
db.close()
|
|
|
|
def execute(self, query, args=(), one=False, commit=False):
|
|
conn = self.getDB()
|
|
cur = conn.cursor(cursor_factory=RealDictCursor)
|
|
cur.execute(query, args)
|
|
rv = None
|
|
if cur.description is not None:
|
|
rv = cur.fetchall()
|
|
if commit:
|
|
try:
|
|
conn.commit()
|
|
except:
|
|
conn.rollback()
|
|
cur.close()
|
|
|
|
return (rv[0] if rv else None) if one else rv
|
|
|
|
def get_exercises(self):
|
|
exercises = self.execute(
|
|
'SELECT exercise_id AS "ExerciseId", name AS "Name" FROM exercise')
|
|
return [{"ExerciseId": e['ExerciseId'], "Name": e['Name']} for e in exercises]
|
|
|
|
def get_exercise(self, exercise_id):
|
|
exercise = self.execute(
|
|
'SELECT exercise_id AS "ExerciseId", name AS "Name" FROM exercise WHERE exercise_id=%s LIMIT 1', [exercise_id], one=True)
|
|
return exercise
|
|
|
|
def create_exercise(self, name):
|
|
new_exercise = self.execute('INSERT INTO exercise (name) VALUES (%s) RETURNING exercise_id AS "ExerciseId"',
|
|
[name], commit=True, one=True)
|
|
return new_exercise['ExerciseId']
|
|
|
|
def delete_exercise(self, exercise_id):
|
|
self.execute('DELETE FROM exercise WHERE exercise_id=%s', [
|
|
exercise_id], commit=True)
|
|
|
|
def update_exercise(self, exercise_id, name):
|
|
self.execute('UPDATE Exercise SET Name=%s WHERE exercise_id=%s', [
|
|
name, exercise_id], commit=True)
|
|
|
|
def get_people(self):
|
|
people = self.execute(
|
|
'SELECT person_id AS "PersonId", name AS "Name" FROM person')
|
|
return people
|
|
|
|
def is_valid_person(self, person_id):
|
|
person = self.execute(
|
|
'SELECT person_id AS "PersonId" FROM person WHERE person_id=%s LIMIT 1', [person_id], one=True)
|
|
return person
|
|
|
|
def create_person(self, name):
|
|
new_person = self.execute('INSERT INTO person (name) VALUES (%s) RETURNING person_id AS "PersonId"', [
|
|
name], commit=True, one=True)
|
|
return new_person['PersonId']
|
|
|
|
def delete_person(self, person_id):
|
|
self.execute('DELETE FROM topset WHERE workout_id IN (SELECT workout_id FROM workout WHERE person_id=%s)', [
|
|
person_id], commit=True)
|
|
self.execute('DELETE FROM workout WHERE person_id=%s',
|
|
[person_id], commit=True)
|
|
self.execute('DELETE FROM person WHERE person_id=%s',
|
|
[person_id], commit=True)
|
|
|
|
def update_person_name(self, person_id, name):
|
|
self.execute('UPDATE person SET name=%s WHERE person_id=%s', [
|
|
name, person_id], commit=True)
|
|
|
|
def is_valid_workout(self, person_id, workout_id):
|
|
workout = self.execute('SELECT W.workout_id AS "WorkoutId" FROM Person P, Workout W WHERE P.person_id=W.person_id AND P.person_id=%s AND W.workout_id=%s LIMIT 1', [
|
|
person_id, workout_id], one=True)
|
|
return workout
|
|
|
|
def is_valid_topset(self, person_id, workout_id, topset_id):
|
|
topset = self.execute("""
|
|
SELECT T.topset_id AS "TopSetId"
|
|
FROM Person P, Workout W, TopSet T
|
|
WHERE W.person_id=W.person_id AND W.workout_id=T.workout_id AND P.person_id=%s AND W.workout_id = %s AND T.topset_id = %s
|
|
LIMIT 1""", [person_id, workout_id, topset_id], one=True)
|
|
return topset
|
|
|
|
def delete_workout(self, workout_id):
|
|
self.execute('DELETE FROM topset WHERE workout_id=%s',
|
|
[workout_id], commit=True)
|
|
self.execute('DELETE FROM workout WHERE workout_id=%s',
|
|
[workout_id], commit=True)
|
|
|
|
def update_topset(self, exercise_id, repetitions, weight, topset_id):
|
|
self.execute('UPDATE topset SET exercise_id=%s, repetitions=%s, weight=%s WHERE topSet_id=%s', [
|
|
exercise_id, repetitions, weight, topset_id], commit=True)
|
|
|
|
def create_topset(self, workout_id, exercise_id, repetitions, weight):
|
|
new_top_set = self.execute('INSERT INTO topset (workout_id, exercise_id, repetitions, weight) VALUES (%s, %s, %s, %s) RETURNING topset_id AS "TopSetId"', [
|
|
workout_id, exercise_id, repetitions, weight], commit=True, one=True)
|
|
return new_top_set['TopSetId']
|
|
|
|
def delete_topset(self, topset_id):
|
|
self.execute('DELETE FROM topset WHERE topset_id=%s', [
|
|
topset_id], commit=True)
|
|
|
|
def create_workout(self, person_id):
|
|
now = datetime.now()
|
|
date_string = now.strftime('%Y-%m-%d')
|
|
# check if a workout has already been created for this person today that doesnt contain any topsets and if so return the WorkoutId
|
|
workout = self.execute('SELECT workout_id AS "WorkoutId" FROM workout WHERE person_id=%s AND start_date=%s AND workout_id NOT IN (SELECT workout_id FROM topset)', [
|
|
person_id, date_string], one=True)
|
|
if workout:
|
|
print(
|
|
f'Workout already created for PersonId {person_id} starting at {date_string} so returning WorkoutId {workout["WorkoutId"]} rather then creating new workout')
|
|
return workout['WorkoutId']
|
|
|
|
print(
|
|
f'Creating workout for PersonId {person_id} starting at {date_string}')
|
|
new_workout = self.execute('INSERT INTO workout (person_id, start_date) VALUES (%s, %s) RETURNING workout_id AS "WorkoutId"', [
|
|
person_id, date_string], commit=True, one=True)
|
|
return new_workout['WorkoutId']
|
|
|
|
def get_people_and_workout_count(self, person_id):
|
|
return self.execute("""
|
|
SELECT
|
|
P.person_id AS "PersonId",
|
|
P.name AS "Name",
|
|
COUNT(W.workout_id) AS "NumberOfWorkouts",
|
|
CASE P.person_id
|
|
WHEN %s
|
|
THEN 1
|
|
ELSE 0
|
|
END "IsActive"
|
|
FROM
|
|
Person P LEFT JOIN Workout W ON P.person_id = W.person_id
|
|
GROUP BY
|
|
P.person_id
|
|
ORDER BY
|
|
P.person_id""", [person_id])
|
|
|
|
def update_workout_start_date(self, workout_id, start_date):
|
|
self.execute('UPDATE workout SET start_date=%s WHERE workout_id=%s', [
|
|
start_date, workout_id], commit=True)
|
|
|
|
def get_person(self, person_id):
|
|
topsets = self.execute("""
|
|
SELECT
|
|
P.person_id AS "PersonId",
|
|
P.name AS "PersonName",
|
|
W.workout_id AS "WorkoutId",
|
|
W.start_date AS "StartDate",
|
|
T.topset_id AS "TopSetId",
|
|
E.exercise_id AS "ExerciseId",
|
|
E.name AS "ExerciseName",
|
|
T.repetitions AS "Repetitions",
|
|
T.weight AS "Weight",
|
|
round((100 * T.Weight::numeric::integer)/(101.3-2.67123 * T.Repetitions),0)::numeric::integer AS "Estimated1RM"
|
|
FROM Person P
|
|
LEFT JOIN Workout W ON P.person_id=W.person_id
|
|
LEFT JOIN TopSet T ON W.workout_id=T.workout_id
|
|
LEFT JOIN Exercise E ON T.exercise_id=E.exercise_id
|
|
WHERE P.person_id=%s""", [person_id])
|
|
|
|
return {
|
|
'PersonId': next((t['PersonId'] for t in topsets), -1),
|
|
'PersonName': next((t['PersonName'] for t in topsets), 'Unknown'),
|
|
'Stats': get_stats_from_topsets(topsets),
|
|
'Exercises': get_all_exercises_from_topsets(topsets),
|
|
'Workouts': get_workouts(topsets)
|
|
}
|
|
|
|
def get_workout(self, person_id, workout_id):
|
|
topsets = self.execute("""
|
|
SELECT
|
|
P.person_id AS "PersonId",
|
|
P.name AS "PersonName",
|
|
W.workout_id AS "WorkoutId",
|
|
W.start_date AS "StartDate",
|
|
T.topset_id AS "TopSetId",
|
|
E.exercise_id AS "ExerciseId",
|
|
E.name AS "ExerciseName",
|
|
T.repetitions AS "Repetitions",
|
|
T.weight AS "Weight",
|
|
W.note AS "Note"
|
|
FROM Person P
|
|
LEFT JOIN Workout W ON P.person_id=W.person_id
|
|
LEFT JOIN TopSet T ON W.workout_id=T.workout_id
|
|
LEFT JOIN Exercise E ON T.exercise_id=E.exercise_id
|
|
WHERE P.person_id=%s
|
|
AND W.workout_id = %s
|
|
ORDER BY T.topset_id""", [person_id, workout_id])
|
|
|
|
note = next((t['Note'] for t in topsets), '')
|
|
|
|
return {
|
|
'PersonId': person_id,
|
|
'PersonName': next((t['PersonName'] for t in topsets), 'Unknown'),
|
|
'WorkoutId': workout_id,
|
|
'StartDate': topsets[0]['StartDate'],
|
|
'TopSets': [{"TopSetId": t['TopSetId'], "ExerciseId": t['ExerciseId'], "ExerciseName": t['ExerciseName'], "Weight": t['Weight'], "Repetitions": t['Repetitions']} for t in topsets if t['TopSetId'] is not None],
|
|
'Note': note
|
|
}
|
|
|
|
def get_topset(self, person_id, workout_id, topset_id):
|
|
topset = self.execute("""
|
|
SELECT
|
|
P.person_id AS "PersonId",
|
|
P.name AS "PersonName",
|
|
W.workout_id AS "WorkoutId",
|
|
W.start_date AS "StartDate",
|
|
T.topset_id AS "TopSetId",
|
|
E.exercise_id AS "ExerciseId",
|
|
E.name AS "ExerciseName",
|
|
T.repetitions AS "Repetitions",
|
|
T.weight AS "Weight"
|
|
FROM Person P
|
|
INNER JOIN Workout W ON P.person_id=W.person_id
|
|
INNER JOIN TopSet T ON W.workout_id=T.workout_id
|
|
INNER JOIN Exercise E ON T.exercise_id=E.exercise_id
|
|
WHERE P.person_id=%s
|
|
AND W.workout_id = %s
|
|
AND T.topset_id = %s""", [person_id, workout_id, topset_id], one=True)
|
|
|
|
return {
|
|
'PersonId': topset['PersonId'],
|
|
'PersonName': topset['PersonName'],
|
|
'WorkoutId': workout_id,
|
|
'StartDate': topset['StartDate'],
|
|
'Exercises': self.get_exercises(),
|
|
"TopSetId": topset['TopSetId'],
|
|
"ExerciseId": topset['ExerciseId'],
|
|
"ExerciseName": topset['ExerciseName'],
|
|
"Weight": topset['Weight'],
|
|
"Repetitions": topset['Repetitions']
|
|
}
|
|
|
|
def get_all_topsets(self):
|
|
all_topsets = self.execute("""
|
|
SELECT
|
|
P.person_id AS "PersonId",
|
|
P.name AS "PersonName",
|
|
W.workout_id AS "WorkoutId",
|
|
W.start_date AS "StartDate",
|
|
T.topset_id AS "TopSetId",
|
|
E.exercise_id AS "ExerciseId",
|
|
E.name AS "ExerciseName",
|
|
T.repetitions AS "Repetitions",
|
|
T.weight AS "Weight",
|
|
round((100 * T.Weight::numeric::integer)/(101.3-2.67123 * T.Repetitions),0)::numeric::integer AS "Estimated1RM"
|
|
FROM Person P
|
|
LEFT JOIN Workout W ON P.person_id=W.person_id
|
|
LEFT JOIN TopSet T ON W.workout_id=T.workout_id
|
|
LEFT JOIN Exercise E ON T.exercise_id=E.exercise_id""")
|
|
|
|
return all_topsets
|
|
|
|
def get_tags_for_person(self, person_id):
|
|
return self.execute("""
|
|
SELECT
|
|
T.tag_id AS "TagId",
|
|
T.person_id AS "PersonId",
|
|
T.name AS "TagName",
|
|
T.filter AS "TagFilter"
|
|
FROM
|
|
Tag T
|
|
WHERE
|
|
T.person_id = %s
|
|
ORDER BY
|
|
T.name""", [person_id])
|
|
|
|
def add_or_update_tag_for_person(self, person_id, tag_name, tag_filter):
|
|
# check if a tag exists for dashboard with the same tag_name
|
|
tag = self.execute('SELECT tag_id AS "TagId" FROM Tag WHERE person_id=%s AND name=%s LIMIT 1', [
|
|
person_id, tag_name], one=True)
|
|
if tag:
|
|
# update the tag
|
|
self.execute('UPDATE Tag SET filter=%s WHERE tag_id=%s', [
|
|
tag_filter, tag['TagId']], commit=True)
|
|
else:
|
|
self.execute('INSERT INTO Tag (person_id, name, filter) VALUES (%s, %s, %s)', [
|
|
person_id, tag_name, tag_filter], commit=True)
|
|
|
|
def delete_tag_for_person(self, person_id, tag_id):
|
|
self.execute('DELETE FROM Tag WHERE person_id=%s AND tag_id=%s', [
|
|
person_id, tag_id], commit=True)
|
|
|
|
def get_tags_for_dashboard(self):
|
|
return self.execute("""
|
|
SELECT
|
|
T.tag_id AS "TagId",
|
|
T.person_id AS "PersonId",
|
|
T.name AS "TagName",
|
|
T.filter AS "TagFilter"
|
|
FROM
|
|
Tag T
|
|
WHERE
|
|
T.person_id IS NULL
|
|
ORDER BY
|
|
T.name""", [])
|
|
|
|
def add_or_update_tag_for_dashboard(self, tag_name, tag_filter):
|
|
# check if a tag exists for dashboard with the same tag_name
|
|
tag = self.execute('SELECT tag_id AS "TagId" FROM Tag WHERE person_id IS NULL AND name=%s LIMIT 1', [
|
|
tag_name], one=True)
|
|
if tag:
|
|
# update the tag
|
|
self.execute('UPDATE Tag SET filter=%s WHERE tag_id=%s', [
|
|
tag_filter, tag['TagId']], commit=True)
|
|
else:
|
|
self.execute('INSERT INTO Tag (name, filter) VALUES (%s, %s)', [
|
|
tag_name, tag_filter], commit=True)
|
|
|
|
def delete_tag_for_dashboard(self, tag_id):
|
|
self.execute('DELETE FROM Tag WHERE tag_id=%s', [tag_id], commit=True)
|
|
|
|
def update_workout_note_for_person(self, person_id, workout_id, note):
|
|
self.execute('UPDATE workout SET note=%s WHERE person_id=%s AND workout_id=%s', [
|
|
note, person_id, workout_id], commit=True)
|
|
|
|
def add_tag_for_workout(self, workout_id, tags_id):
|
|
# First, delete tags that are not in the new selection
|
|
self.execute(
|
|
"""
|
|
DELETE FROM workout_tag
|
|
WHERE workout_id = %s AND tag_id NOT IN %s
|
|
""",
|
|
[workout_id, tuple(tags_id)], commit=True
|
|
)
|
|
|
|
# Then, attempt to insert the new tags
|
|
for tag_id in tags_id:
|
|
self.execute(
|
|
"""
|
|
INSERT INTO workout_tag (workout_id, tag_id)
|
|
VALUES (%s, %s)
|
|
ON CONFLICT (workout_id, tag_id) DO NOTHING
|
|
""",
|
|
[workout_id, tag_id], commit=True
|
|
)
|
|
|
|
# Now fetch updated list of workout tags
|
|
workout_tags = self.execute("""
|
|
SELECT
|
|
T.tag_id AS "tag_id",
|
|
T.person_id AS "person_id",
|
|
T.name AS "tag_name",
|
|
T.filter AS "tag_filter"
|
|
FROM Workout_Tag WT
|
|
LEFT JOIN Tag T ON WT.tag_id=T.tag_id
|
|
WHERE WT.workout_id=%s""", [workout_id])
|
|
|
|
return workout_tags
|
|
|
|
def create_tag_for_workout(self, person_id, workout_id, tag_name):
|
|
workout_exercises = self.execute("""
|
|
SELECT
|
|
E.exercise_id AS "exercise_id",
|
|
E.name AS "exercise_name"
|
|
FROM Workout W
|
|
LEFT JOIN TopSet T ON W.workout_id=T.workout_id
|
|
LEFT JOIN Exercise E ON T.exercise_id=E.exercise_id
|
|
WHERE W.workout_id=%s""", [workout_id])
|
|
|
|
tag_filter = "?" + \
|
|
"&".join(
|
|
f"exercise_id={e['exercise_id']}" for e in workout_exercises)
|
|
|
|
# create tag for person
|
|
row = self.execute('INSERT INTO Tag (person_id, name, filter) VALUES (%s, %s, %s) RETURNING tag_id AS "tag_id"', [
|
|
person_id, tag_name, tag_filter], commit=True, one=True)
|
|
|
|
# add tag to workout
|
|
self.execute('INSERT INTO Workout_Tag (workout_id, tag_id) VALUES (%s, %s)', [
|
|
workout_id, row['tag_id']], commit=True)
|
|
|
|
# Now fetch updated list of workout tags
|
|
workout_tags = self.execute("""
|
|
SELECT
|
|
T.tag_id AS "tag_id",
|
|
T.person_id AS "person_id",
|
|
T.name AS "tag_name",
|
|
T.filter AS "tag_filter"
|
|
FROM Workout_Tag WT
|
|
LEFT JOIN Tag T ON WT.tag_id=T.tag_id
|
|
WHERE WT.workout_id=%s""", [workout_id])
|
|
|
|
return workout_tags
|
|
|
|
def get_workout_tags(self, person_id, workout_id):
|
|
person_tags = self.execute("""
|
|
SELECT
|
|
T.tag_id AS "tag_id",
|
|
T.name AS "tag_name",
|
|
T.filter AS "tag_filter"
|
|
FROM Tag T
|
|
WHERE T.person_id=%s""", [person_id])
|
|
|
|
workout_tags = self.execute("""
|
|
SELECT
|
|
T.tag_id AS "tag_id",
|
|
T.person_id AS "person_id",
|
|
T.name AS "tag_name",
|
|
T.filter AS "tag_filter"
|
|
FROM Workout_Tag WT
|
|
LEFT JOIN Tag T ON WT.tag_id=T.tag_id
|
|
WHERE WT.workout_id=%s""", [workout_id])
|
|
|
|
selected_workout_tag_ids = [wt['tag_id'] for wt in workout_tags]
|
|
|
|
return (person_tags, workout_tags, selected_workout_tag_ids)
|
|
|
|
def get_most_recent_topset_for_exercise(self, person_id, exercise_id):
|
|
topset = self.execute("""
|
|
SELECT
|
|
t.repetitions,
|
|
t.weight
|
|
FROM
|
|
topset t JOIN workout w ON t.workout_id = w.workout_id
|
|
WHERE
|
|
w.person_id = %s AND t.exercise_id = %s
|
|
ORDER BY
|
|
w.start_date DESC
|
|
LIMIT 1;
|
|
""", [person_id, exercise_id], one=True)
|
|
|
|
if not topset:
|
|
return None
|
|
else:
|
|
return (topset['repetitions'], topset['weight'])
|
|
|
|
def get_all_exercises(self):
|
|
exercises = self.execute(
|
|
'SELECT exercise_id, name FROM exercise')
|
|
return exercises
|
|
|
|
def get_exercise_progress_for_user(self, person_id, exercise_id):
|
|
# Execute SQL query to fetch topset data for a specific person and exercise
|
|
topsets = self.execute("""
|
|
SELECT
|
|
T.topset_id, E.name AS exercise_name, W.person_id, T.workout_id,
|
|
T.repetitions, T.weight,
|
|
ROUND((100 * T.weight::NUMERIC::INTEGER) / (101.3 - 2.67123 * T.repetitions), 0)::NUMERIC::INTEGER AS estimated_1rm,
|
|
W.start_date
|
|
FROM
|
|
topset T
|
|
JOIN
|
|
exercise E ON T.exercise_id = E.exercise_id
|
|
JOIN
|
|
workout W ON T.workout_id = W.workout_id
|
|
WHERE
|
|
W.person_id = %s AND E.exercise_id = %s
|
|
ORDER BY
|
|
W.start_date;
|
|
""", [person_id, exercise_id])
|
|
|
|
# Return None if no topsets found
|
|
if not topsets:
|
|
return None
|
|
|
|
# Extracting values and calculating value ranges for SVG dimensions
|
|
estimated_1rm = [t['estimated_1rm'] for t in topsets]
|
|
repetitions = [t['repetitions'] for t in topsets]
|
|
weight = [t['weight'] for t in topsets]
|
|
start_dates = [t['start_date'] for t in topsets]
|
|
min_date, max_date = min(start_dates), max(start_dates)
|
|
min_e1rm, max_e1rm = min(estimated_1rm), max(estimated_1rm)
|
|
min_reps, max_reps = min(repetitions), max(repetitions)
|
|
min_weight, max_weight = min(weight), max(weight)
|
|
|
|
# Calculate viewBox dimensions
|
|
date_range = max_date - min_date
|
|
e1rm_range = max_e1rm - min_e1rm
|
|
reps_range = max_reps - min_reps
|
|
weight_range = max_weight - min_weight
|
|
vb_width, vb_height = date_range.days, e1rm_range
|
|
vb_width *= 200 / vb_width # Scale to 200px width
|
|
vb_height *= 75 / vb_height # Scale to 75px height
|
|
|
|
# Scale estimated_1rm values for SVG plotting
|
|
estimated_1rm_scaled = [((value - min_e1rm) / e1rm_range) * vb_height for value in estimated_1rm]
|
|
repetitions_scaled = [((value - min_reps) / reps_range) * vb_height for value in repetitions]
|
|
weight_scaled = [((value - min_weight) / weight_range) * vb_height for value in weight]
|
|
total_span = date_range.days or 1
|
|
relative_positions = [(date - min_date).days / total_span for date in start_dates]
|
|
|
|
# Convert relative positions and scaled estimated 1RM values to numpy arrays
|
|
x = np.array(relative_positions)
|
|
y = np.array(estimated_1rm_scaled)
|
|
|
|
# Calculate the slope (m) and y-intercept (b) of the line of best fit
|
|
m, b = np.polyfit(x, y, 1)
|
|
|
|
# Generate points along the line of best fit
|
|
y_best_fit = [m * xi + b for xi in x]
|
|
best_fit_points = zip(y_best_fit, relative_positions)
|
|
|
|
# Create messages and zip data for SVG plotting
|
|
messages = [f'{t["repetitions"]} x {t["weight"]}kg ({t["estimated_1rm"]}kg E1RM) on {t["start_date"].strftime("%d %b %y")}' for t in topsets]
|
|
estimated_1rm_points = zip(estimated_1rm_scaled, relative_positions, messages)
|
|
repetitions_points = zip(repetitions_scaled, relative_positions, messages)
|
|
weight_points = zip(weight_scaled, relative_positions, messages)
|
|
|
|
estimated_1rm = {
|
|
'label': 'E1RM',
|
|
'color': '#2ca02c',
|
|
'points': list(estimated_1rm_points)
|
|
}
|
|
repetitions = {
|
|
'label': 'Reps',
|
|
'color': '#388fed',
|
|
'points': list(repetitions_points)
|
|
}
|
|
weight = {
|
|
'label': 'Weight',
|
|
'color': '#bd3178',
|
|
'points': list(weight_points)
|
|
}
|
|
|
|
# Return exercise data with SVG dimensions and data points
|
|
return {
|
|
'exercise_name': topsets[0]['exercise_name'],
|
|
'vb_width': vb_width,
|
|
'vb_height': vb_height,
|
|
'plots': [estimated_1rm, repetitions, weight],
|
|
'best_fit_points': list(best_fit_points),
|
|
} |