Move nested functions

This commit is contained in:
Peter Stockings
2024-12-29 22:59:08 +11:00
parent 91b3ef0e7e
commit 6291c37820
3 changed files with 131 additions and 134 deletions

View File

@@ -35,5 +35,4 @@ def login():
def logout():
logout_user() # Logs out the current user
flash('You have been logged out.', 'success')
return redirect(url_for('auth.login')) # Redirect to login page or home page
return redirect(url_for('auth.login')) # Redirect to login page or home page

View File

@@ -23,132 +23,6 @@ def health():
@main.route('/dashboard', methods=['GET', 'POST'])
@login_required
def dashboard():
# Helper function to get first and last reading timestamps
def get_reading_date_range(user_id):
result = (
db.session.query(
func.min(Reading.timestamp).label('first'),
func.max(Reading.timestamp).label('last')
)
.filter(Reading.user_id == user_id)
.first()
)
return result.first, result.last
# Helper function to calculate weekly summary averages
def calculate_weekly_summary(readings):
one_week_ago = datetime.now() - timedelta(days=7)
weekly_readings = [r for r in readings if r.timestamp >= one_week_ago]
if weekly_readings:
systolic_avg = round(sum(r.systolic for r in weekly_readings) / len(weekly_readings), 1)
diastolic_avg = round(sum(r.diastolic for r in weekly_readings) / len(weekly_readings), 1)
heart_rate_avg = round(sum(r.heart_rate for r in weekly_readings) / len(weekly_readings), 1)
else:
systolic_avg = diastolic_avg = heart_rate_avg = 0
return systolic_avg, diastolic_avg, heart_rate_avg
# Helper function to calculate progress badges
def calculate_progress_badges(readings):
"""Calculate badges based on user reading activity."""
badges = []
now = datetime.utcnow().date()
# Prepare sorted readings by timestamp
sorted_readings = sorted(readings, key=lambda r: r.timestamp)
# Incremental milestone badge
def highest_milestone(total_readings, milestones):
"""Determine the highest milestone achieved."""
for milestone in reversed(milestones):
if total_readings >= milestone:
return f"{milestone} Readings Logged"
return None
highest_milestone_badge = highest_milestone(len(readings), [10, 50, 100, 500, 1000, 5000, 10000])
if highest_milestone_badge:
badges.append(highest_milestone_badge)
# Streaks and calendar month badges
if sorted_readings:
streak_count = 1
daily_streak = True
monthly_tracker = defaultdict(int)
# Start with the first reading
previous_date = sorted_readings[0].timestamp.date()
for reading in sorted_readings[1:]:
current_date = reading.timestamp.date()
# Check for consecutive daily streaks
if (current_date - previous_date).days == 1:
streak_count += 1
elif (current_date - previous_date).days > 1:
daily_streak = False
# Track monthly activity
monthly_tracker[current_date.strftime('%Y-%m')] += 1
previous_date = current_date
# Add streak badges
if daily_streak and streak_count >= 1:
badges.append(f"Current Streak: {streak_count} Days")
if daily_streak and streak_count >= 7:
badges.append("Logged Every Day for a Week")
if daily_streak and streak_count >= 30 and previous_date == now:
badges.append("Monthly Streak")
# Add calendar month streak badges
for month, count in monthly_tracker.items():
if count >= 30:
badges.append(f"Full Month of Logging: {month}")
# Time-specific badges (morning/night logging)
def is_morning(reading_time):
return 5 <= reading_time.hour < 12
def is_night(reading_time):
return 18 <= reading_time.hour <= 23
if all(is_morning(r.timestamp) for r in sorted_readings[-7:]):
badges.append("Morning Riser: Logged Readings Every Morning for a Week")
if all(is_night(r.timestamp) for r in sorted_readings[-7:]):
badges.append("Night Owl: Logged Readings Every Night for a Week")
return badges
def generate_monthly_calendar(readings, selected_date, local_timezone):
# Convert selected date to user's timezone and extract the start/end dates
today = datetime.now(local_timezone).date()
date = selected_date.astimezone(local_timezone).date()
first_day_of_month = date.replace(day=1)
days_to_subtract = (first_day_of_month.weekday() + 1) % 7
start_date = first_day_of_month - timedelta(days=days_to_subtract)
end_date = start_date + timedelta(days=6 * 7 - 1)
# Group readings by day
readings_by_day = {}
for reading in readings:
local_date = reading.timestamp.astimezone(local_timezone).date()
readings_by_day.setdefault(local_date, []).append(reading)
# Build calendar days
calendar = []
current_date = start_date
while current_date <= end_date:
calendar.append({
'day': current_date.day,
'is_today': current_date == today,
'is_in_current_month': current_date.month == date.month,
'readings': readings_by_day.get(current_date, []),
})
current_date += timedelta(days=1)
return calendar
# Get the first and last reading timestamps
first_reading_timestamp, last_reading_timestamp = get_reading_date_range(current_user.id)
@@ -220,4 +94,130 @@ def dashboard():
month = month_view,
date=date,
timedelta=timedelta
)
)
# Helper function to get first and last reading timestamps
def get_reading_date_range(user_id):
result = (
db.session.query(
func.min(Reading.timestamp).label('first'),
func.max(Reading.timestamp).label('last')
)
.filter(Reading.user_id == user_id)
.first()
)
return result.first, result.last
# Helper function to calculate weekly summary averages
def calculate_weekly_summary(readings):
one_week_ago = datetime.now() - timedelta(days=7)
weekly_readings = [r for r in readings if r.timestamp >= one_week_ago]
if weekly_readings:
systolic_avg = round(sum(r.systolic for r in weekly_readings) / len(weekly_readings), 1)
diastolic_avg = round(sum(r.diastolic for r in weekly_readings) / len(weekly_readings), 1)
heart_rate_avg = round(sum(r.heart_rate for r in weekly_readings) / len(weekly_readings), 1)
else:
systolic_avg = diastolic_avg = heart_rate_avg = 0
return systolic_avg, diastolic_avg, heart_rate_avg
def generate_monthly_calendar(readings, selected_date, local_timezone):
# Convert selected date to user's timezone and extract the start/end dates
today = datetime.now(local_timezone).date()
date = selected_date.astimezone(local_timezone).date()
first_day_of_month = date.replace(day=1)
days_to_subtract = (first_day_of_month.weekday() + 1) % 7
start_date = first_day_of_month - timedelta(days=days_to_subtract)
end_date = start_date + timedelta(days=6 * 7 - 1)
# Group readings by day
readings_by_day = {}
for reading in readings:
local_date = reading.timestamp.astimezone(local_timezone).date()
readings_by_day.setdefault(local_date, []).append(reading)
# Build calendar days
calendar = []
current_date = start_date
while current_date <= end_date:
calendar.append({
'day': current_date.day,
'is_today': current_date == today,
'is_in_current_month': current_date.month == date.month,
'readings': readings_by_day.get(current_date, []),
})
current_date += timedelta(days=1)
return calendar
# Helper function to calculate progress badges
def calculate_progress_badges(readings):
"""Calculate badges based on user reading activity."""
badges = []
now = datetime.utcnow().date()
# Prepare sorted readings by timestamp
sorted_readings = sorted(readings, key=lambda r: r.timestamp)
# Incremental milestone badge
def highest_milestone(total_readings, milestones):
"""Determine the highest milestone achieved."""
for milestone in reversed(milestones):
if total_readings >= milestone:
return f"{milestone} Readings Logged"
return None
highest_milestone_badge = highest_milestone(len(readings), [10, 50, 100, 500, 1000, 5000, 10000])
if highest_milestone_badge:
badges.append(highest_milestone_badge)
# Streaks and calendar month badges
if sorted_readings:
streak_count = 1
daily_streak = True
monthly_tracker = defaultdict(int)
# Start with the first reading
previous_date = sorted_readings[0].timestamp.date()
for reading in sorted_readings[1:]:
current_date = reading.timestamp.date()
# Check for consecutive daily streaks
if (current_date - previous_date).days == 1:
streak_count += 1
elif (current_date - previous_date).days > 1:
daily_streak = False
# Track monthly activity
monthly_tracker[current_date.strftime('%Y-%m')] += 1
previous_date = current_date
# Add streak badges
if daily_streak and streak_count >= 1:
badges.append(f"Current Streak: {streak_count} Days")
if daily_streak and streak_count >= 7:
badges.append("Logged Every Day for a Week")
if daily_streak and streak_count >= 30 and previous_date == now:
badges.append("Monthly Streak")
# Add calendar month streak badges
for month, count in monthly_tracker.items():
if count >= 30:
badges.append(f"Full Month of Logging: {month}")
# Time-specific badges (morning/night logging)
def is_morning(reading_time):
return 5 <= reading_time.hour < 12
def is_night(reading_time):
return 18 <= reading_time.hour <= 23
if all(is_morning(r.timestamp) for r in sorted_readings[-7:]):
badges.append("Morning Riser: Logged Readings Every Morning for a Week")
if all(is_night(r.timestamp) for r in sorted_readings[-7:]):
badges.append("Night Owl: Logged Readings Every Night for a Week")
return badges

View File

@@ -1,12 +1,10 @@
from collections import defaultdict
from flask import Blueprint, render_template, redirect, request, url_for, flash
import humanize
from pytz import timezone, utc
from sqlalchemy import func
from app.models import Reading, db
from app.forms import DeleteForm, ReadingForm
from app.forms import ReadingForm
from flask_login import login_required, current_user
from datetime import date, datetime, timedelta
from datetime import datetime
reading = Blueprint('reading', __name__)
@reading.route('/add', methods=['GET', 'POST'])