Fix forecast min/max to use true daily range across all 3-hour slots

Previously took min/max from only the first 3-hour entry of each day,
giving a near-flat range. Now aggregates all slots for each date and
uses the midday slot for icon/description.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-07-27 21:32:05 +12:00
parent db1d422b21
commit 41e9c3bf71

38
app.py
View File

@@ -54,21 +54,31 @@ def get_weather():
forecast_response.raise_for_status() forecast_response.raise_for_status()
forecast_data = forecast_response.json() forecast_data = forecast_response.json()
# Process forecast to get daily summaries # Group all 3-hour slots by date so we can find the true daily min/max
daily_forecast = [] from collections import defaultdict
seen_dates = set() slots_by_date = defaultdict(list)
for item in forecast_data['list']:
d = datetime.fromtimestamp(item['dt']).date()
slots_by_date[d].append(item)
for item in forecast_data['list'][:40]: # Next 3 days (8 forecasts per day) today_date = datetime.now().date()
date = datetime.fromtimestamp(item['dt']).date() future_dates = sorted(d for d in slots_by_date if d > today_date)[:3]
if date not in seen_dates and len(daily_forecast) < 3:
seen_dates.add(date) daily_forecast = []
daily_forecast.append({ for d in future_dates:
'date': date.strftime('%a'), slots = slots_by_date[d]
'temp_max': round(item['main']['temp_max']), # True daily min/max across all 3-hour periods
'temp_min': round(item['main']['temp_min']), temp_max = round(max(s['main']['temp_max'] for s in slots))
'description': item['weather'][0]['description'], temp_min = round(min(s['main']['temp_min'] for s in slots))
'icon': item['weather'][0]['icon'] # Use the midday slot for icon/description
}) midday = min(slots, key=lambda s: abs(datetime.fromtimestamp(s['dt']).hour - 12))
daily_forecast.append({
'date': d.strftime('%a'),
'temp_max': temp_max,
'temp_min': temp_min,
'description': midday['weather'][0]['description'],
'icon': midday['weather'][0]['icon']
})
weather_data = { weather_data = {
'current': { 'current': {