def edit_database(city_id):
"""Views for editing city specific data"""
month_temperature = []
month_humidity = []
city_record = data.get(city_id)
meteo = [get_city_temperature(city_record), get_city_humidity(city_record)]
try:
if request.method == "POST":
# Get data from the form
for i in range(12):
# In a production application we ought to validate the input data
month_temperature.append(float(request.form[f'temperature{i}']))
month_humidity.append(int(request.form[f'humidity{i}']))
# Database update
for i, month in enumerate(city_record.city_meteo_data):
month.average_temperature = month_temperature[i]
month.average_humidity = month_humidity[i]
db_session.commit()
return redirect(url_for('main', city_id=city_id))
else:
return render_template('edit.html', city_name=city_record.city_name, city_id=city_id, months=MONTHS,
meteo=meteo)
except Exception as error:
return render_template('edit.html', city_name=city_record.city_name, city_id=city_id, months=MONTHS,
meteo=meteo, error=error)
def get_city_image(city_id):
"""Rendering line charts with city specific data"""
city = data.get(city_id)
city_temp = get_city_temperature(city)
city_hum = get_city_humidity(city)
plt.clf()
plt.plot(MONTHS, city_temp, color='blue', linewidth=2.5, linestyle='-')
plt.ylabel('Mean Daily Temperature', color='blue')
plt.yticks(color='blue')
plt.twinx()
plt.plot(MONTHS, city_hum, color='red', linewidth=2.5, linestyle='-')
plt.ylabel('Average Relative Humidity', color='red')
plt.yticks(color='red')
plt.title(city.city_name)
img = BytesIO()
plt.savefig(img)
img.seek(0)
return img
def get_main_image():
"""Rendering the scatter chart"""
yearly_temp = []
yearly_hum = []
for city in data:
yearly_temp.append(sum(get_city_temperature(city)) / 12)
yearly_hum.append(sum(get_city_humidity(city)) / 12)
plt.clf()
plt.scatter(yearly_hum, yearly_temp, alpha=0.5)
plt.title('Yearly Average Temperature/Humidity')
plt.xlim(70, 95)
plt.ylabel('Yearly Average Temperature')
plt.xlabel('Yearly Average Relative Humidity')
for i, txt in enumerate(CITIES):
plt.annotate(txt, (yearly_hum[i], yearly_temp[i]))
img = BytesIO()
plt.savefig(img)
img.seek(0)
return img
