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