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

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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:
Luwig Mey
2026-07-27 21:32:05 +12:00
parent db1d422b21
commit 41e9c3bf71
1 changed files with 24 additions and 14 deletions
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34
app.py
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@@ -54,20 +54,30 @@ def get_weather():
forecast_response.raise_for_status()
forecast_data = forecast_response.json()
# Process forecast to get daily summaries
daily_forecast = []
seen_dates = set()
# Group all 3-hour slots by date so we can find the true daily min/max
from collections import defaultdict
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)
date = datetime.fromtimestamp(item['dt']).date()
if date not in seen_dates and len(daily_forecast) < 3:
seen_dates.add(date)
today_date = datetime.now().date()
future_dates = sorted(d for d in slots_by_date if d > today_date)[:3]
daily_forecast = []
for d in future_dates:
slots = slots_by_date[d]
# True daily min/max across all 3-hour periods
temp_max = round(max(s['main']['temp_max'] for s in slots))
temp_min = round(min(s['main']['temp_min'] for s in slots))
# Use the midday slot for icon/description
midday = min(slots, key=lambda s: abs(datetime.fromtimestamp(s['dt']).hour - 12))
daily_forecast.append({
'date': date.strftime('%a'),
'temp_max': round(item['main']['temp_max']),
'temp_min': round(item['main']['temp_min']),
'description': item['weather'][0]['description'],
'icon': item['weather'][0]['icon']
'date': d.strftime('%a'),
'temp_max': temp_max,
'temp_min': temp_min,
'description': midday['weather'][0]['description'],
'icon': midday['weather'][0]['icon']
})
weather_data = {