weather api working -> 2025-01-27 17:49:29

This commit is contained in:
pepev-nrt 2025-01-27 17:49:36 +01:00
parent 7a933631d9
commit a9c7381977
14 changed files with 288 additions and 17 deletions

4
.gitignore vendored
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# Specific for my project
.cache.sqlite
# Python generic .gitignore
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

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{
"isDisplayConected": false,
"screenWidth": 250,
"screenHeight": 122,
"imageWidth": 250,
"imageHeight": 122,
"rotateAngle": 180,
"hourFormat": "12h"
"hourFormat": "12h",
"latitude": 40.4084,
"longitude": -3.6876,
"timezone": "Europe/Madrid",
"locales": "es_ES.UTF-8"
}

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@ -11,12 +11,15 @@ CSS stylesheets in the "render" folder.
import datetime as dt
import os
import sys
import locale
import json
import logging
from PIL import Image,ImageDraw,ImageFont
from weather.weather import WeatherHelper
def main():
# Basic configuration settings (user replaceable)
@ -26,45 +29,90 @@ def main():
isDisplayConected = config['isDisplayConected'] # set to true when debugging rendering without displaying to screen
screenWidth = config['screenWidth'] # Width of E-Ink display. Default is landscape. Need to rotate image to fit.
screenHeight = config['screenHeight'] # Height of E-Ink display. Default is landscape. Need to rotate image to fit.
imageWidth = config['imageWidth'] # Width of image to be generated for display.
imageHeight = config['imageHeight'] # Height of image to be generated for display.
rotateAngle = config['rotateAngle'] # If image is rendered in portrait orientation, angle to rotate to fit screen
hourFormat = config['hourFormat'] # The format the hour will be displayed. eg. 13:02 or 01:02 PM
screenWidth = config['screenWidth'] # Width of E-Ink display. Default is landscape. Need to rotate image to fit.
screenHeight = config['screenHeight'] # Height of E-Ink display. Default is landscape. Need to rotate image to fit.
imageWidth = config['imageWidth'] # Width of image to be generated for display.
imageHeight = config['imageHeight'] # Height of image to be generated for display.
rotateAngle = config['rotateAngle'] # If image is rendered in portrait orientation, angle to rotate to fit screen
hourFormat = config['hourFormat'] # The format the hour will be displayed. eg. 13:02 or 01:02 PM
latitude = config['latitude'] # A float. The latitude for the Weather API.
longitude = config['longitude'] # A float. The longitude for the Weather API.
timezone = config['timezone'] # The timezone is necesary for the Weather API
locales = config['locales'] # Set the locales for the month name
weatherService = WeatherHelper(latitude, longitude, timezone)
weather_data = weatherService.fetch_open_meteo_data()
locale.setlocale(locale.LC_TIME, locales)
# Set the hour, this is important to see what time the e-Paper has been syncronized
if hourFormat == "12h":
time = dt.datetime.now().strftime("%I:%M %p")
else:
time = dt.datetime.now().strftime("%H:%M")
day = dt.datetime.now().strftime("%A, %d %b")
assets = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'assets')
weather_icons = os.path.join(assets, 'weather-icons')
fonts = os.path.join(assets, 'fonts')
# Drawing on the image
font15 = ImageFont.truetype(os.path.join(fonts, 'wavesharefont.ttc'), 15)
font24 = ImageFont.truetype(os.path.join(fonts, 'wavesharefont.ttc'), 24)
font8 = ImageFont.truetype(os.path.join(os.path.join(fonts, 'pixel_operator'), 'PixelOperator8.ttf'), 8)
font16 = ImageFont.truetype(os.path.join(os.path.join(fonts, 'pixel_operator'), 'PixelOperator.ttf'), 16)
font16_bold = ImageFont.truetype(os.path.join(os.path.join(fonts, 'pixel_operator'), 'PixelOperator-Bold.ttf'), 16)
#image = Image.open('assets/test4.bmp')
image = Image.new('1', (imageWidth, imageHeight), 255) # 255: clear the frame
draw = ImageDraw.Draw(image)
draw.text((0, 0), time, font = font16_bold, fill = 0) # draw the current time in the top left corner
draw.text((0, 0), f"{day}. {time}", font = font16_bold, fill = 0) # draw the current time in the top left corner
draw.line([(0,16),(250,16)], fill = 0,width = 2)
draw.line([(125,16),(125,122)], fill = 0,width = 2)
# Frames
draw.line([(0,16),(250,16)], fill = 0,width = 2) # Draw a line below the date
draw.line([(90,17),(90,122)], fill = 0,width = 2) # Line dividing the screeen in two parts
cal_icon = Image.open(os.path.join(assets, "cal-icon3.bmp"))
image.paste(cal_icon, (129,20))
# Calendar icon
cal_coordinates_x = 207
cal_coordinates_y = 2
draw.text((160, 26), 'Agenda', font = font16_bold, fill = 0)
cal_icon = Image.open(os.path.join(assets, "cal-icon3.bmp")) # calendar icon
# This seems complicates, but it just draw a white rectangle bellow the calendar
draw.rectangle([(cal_coordinates_x-2, cal_coordinates_y),(cal_coordinates_x + 28, cal_coordinates_y + 30)], fill = 255)
image.paste(cal_icon, (cal_coordinates_x, cal_coordinates_y))
# LEFT SEGMENT (WEATHER)
# Todays information
today_icon = weatherService.iconize_weather(weather_data["current_weather_code"])
today_icon = Image.open(os.path.join(weather_icons, today_icon))
image.paste(today_icon, (29,20))
today_temperature = f"{str(weather_data['current_temperature_2m'])}°"
draw.text((66,28), today_temperature, font = font16_bold, fill = 0) # The tomorrows temperature is bellow the icon
#draw.text((160, 26), 'Agenda', font = font16_bold, fill = 0)
# All the tomorrows information
tomorrow_icon = weatherService.iconize_weather(weather_data["tomorrow_weather_code"])
tomorrow_icon = Image.open(os.path.join(weather_icons, tomorrow_icon))
image.paste(tomorrow_icon, (6,74)) # The icon is in the bottom left corner
tomorrow_temperature = f"{str(weather_data['tomorrow_temperature_2m_max'])}/{str(weather_data['tomorrow_temperature_2m_min'])}°"
draw.text((6,106), tomorrow_temperature, font = font16_bold, fill = 0) # The tomorrows temperature is bellow the icon
# All the day after tomorrows information
day_after_icon = weatherService.iconize_weather(weather_data["day_after_weather_code"])
day_after_icon = Image.open(os.path.join(weather_icons, day_after_icon))
image.paste(day_after_icon, (52,74))
day_after_temperature = f"{str(weather_data['day_after_temperature_2m_max'])}/{str(weather_data['day_after_temperature_2m_min'])}°"
draw.text((52,106), day_after_temperature, font = font16_bold, fill = 0)
# RIGHT SEGMENT (CALENDAR/AGENDA)
# TODO: writing this part and also the logic part
# draw.line([(0,50),(50,0)], fill = 0,width = 1)
# draw.chord((10, 60, 50, 100), 0, 360, fill = 0)
@ -78,7 +126,6 @@ def main():
image.save(os.path.join(assets, 'output.bmp'))
if isDisplayConected:
from display.display import DisplayHelper

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import openmeteo_requests
import requests_cache
import pandas as pd
from retry_requests import retry
# Setup the Open-Meteo API client with cache and retry on error
cache_session = requests_cache.CachedSession('.cache', expire_after = 3600)
retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
openmeteo = openmeteo_requests.Client(session = retry_session)
# Make sure all required weather variables are listed here
# The order of variables in hourly or daily is important to assign them correctly below
url = "https://api.open-meteo.com/v1/forecast"
params = {
"latitude": 40.408,
"longitude": -3.688,
"current": ["temperature_2m", "is_day", "weather_code"],
"daily": ["weather_code", "temperature_2m_max", "temperature_2m_min"],
"timezone": "Europe/Madrid",
"forecast_days": 3
}
responses = openmeteo.weather_api(url, params=params)
# Process first location. Add a for-loop for multiple locations or weather models
response = responses[0]
print(f"Coordinates {response.Latitude()}°N {response.Longitude()}°E")
print(f"Elevation {response.Elevation()} m asl")
print(f"Timezone {response.Timezone()} {response.TimezoneAbbreviation()}")
print(f"Timezone difference to GMT+0 {response.UtcOffsetSeconds()} s")
# Current values. The order of variables needs to be the same as requested.
current = response.Current()
current_temperature_2m = current.Variables(0).Value()
current_is_day = current.Variables(1).Value()
current_weather_code = current.Variables(2).Value()
print(f"Current time {current.Time()}")
print(f"Current temperature_2m {current_temperature_2m}")
print(f"Current is_day {current_is_day}")
print(f"Current weather_code {current_weather_code}")
# Process daily data. The order of variables needs to be the same as requested.
daily = response.Daily()
daily_weather_code = daily.Variables(0).ValuesAsNumpy()
daily_temperature_2m_max = daily.Variables(1).ValuesAsNumpy()
daily_temperature_2m_min = daily.Variables(2).ValuesAsNumpy()
daily_data = {"date": pd.date_range(
start = pd.to_datetime(daily.Time(), unit = "s", utc = True),
end = pd.to_datetime(daily.TimeEnd(), unit = "s", utc = True),
freq = pd.Timedelta(seconds = daily.Interval()),
inclusive = "left"
)}
daily_data["weather_code"] = daily_weather_code
daily_data["temperature_2m_max"] = daily_temperature_2m_max
daily_data["temperature_2m_min"] = daily_temperature_2m_min
daily_dataframe = pd.DataFrame(data = daily_data)
print(daily_dataframe)

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@ -0,0 +1,148 @@
#!/usr/bin python3
# -*- coding: utf-8 -*-
"""
This part of the code exposes functions to fetch data from the open-meteo.com API.
The bellow code is the generated by the https://open-meteo.com/en/docs itself.
It has been slighly modified to return a dictionary with all the information nedeed.
"""
import openmeteo_requests
import requests_cache
#import pandas as pd
from retry_requests import retry
class WeatherHelper:
def __init__(self, latitude: float, longitude: float, timezone: str):
self.latitude = latitude
self.longitude = longitude
self.timezone = timezone
def fetch_open_meteo_data(self) -> dict:
# Setup the Open-Meteo API client with cache and retry on error
cache_session = requests_cache.CachedSession('.cache', expire_after = 3600)
retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
openmeteo = openmeteo_requests.Client(session = retry_session)
# Make sure all required weather variables are listed here
# The order of variables in hourly or daily is important to assign them correctly below
url = "https://api.open-meteo.com/v1/forecast"
params = {
"latitude": self.latitude,
"longitude": self.longitude,
"current": ["temperature_2m", "is_day", "weather_code"],
"daily": ["weather_code", "temperature_2m_max", "temperature_2m_min"],
"timezone": self.timezone,
"forecast_days": 3
}
responses = openmeteo.weather_api(url, params=params)
# Process first location. Add a for-loop for multiple locations or weather models
response = responses[0]
#print(f"Coordinates {response.Latitude()}°N {response.Longitude()}°E")
#print(f"Elevation {response.Elevation()} m asl")
#print(f"Timezone {response.Timezone()} {response.TimezoneAbbreviation()}")
#print(f"Timezone difference to GMT+0 {response.UtcOffsetSeconds()} s")
# Current values. The order of variables needs to be the same as requested.
current = response.Current()
current_temperature_2m = current.Variables(0).Value()
current_is_day = current.Variables(1).Value()
current_weather_code = current.Variables(2).Value()
#print(f"Current time {current.Time()}")
#print(f"Current temperature_2m {current_temperature_2m}")
#print(f"Current is_day {current_is_day}")
#print(f"Current weather_code {current_weather_code}")
# Process daily data. The order of variables needs to be the same as requested.
daily = response.Daily()
daily_weather_code = daily.Variables(0).ValuesAsNumpy()
daily_temperature_2m_max = daily.Variables(1).ValuesAsNumpy()
daily_temperature_2m_min = daily.Variables(2).ValuesAsNumpy()
#daily_data = {"date": pd.date_range(
# start = pd.to_datetime(daily.Time(), unit = "s", utc = True),
# end = pd.to_datetime(daily.TimeEnd(), unit = "s", utc = True),
# freq = pd.Timedelta(seconds = daily.Interval()),
# inclusive = "left"
#)}
#daily_data["weather_code"] = daily_weather_code
#daily_data["temperature_2m_max"] = daily_temperature_2m_max
#daily_data["temperature_2m_min"] = daily_temperature_2m_min
#daily_dataframe = pd.DataFrame(data = daily_data)
#print(daily_dataframe)
# Here we are creating the dictionary that will be returned
weather_data = {}
weather_data['current_temperature_2m'] = int(current_temperature_2m)
weather_data['current_is_day'] = int(current_is_day)
weather_data['current_weather_code'] = int(current_weather_code)
weather_data['tomorrow_temperature_2m_max'] = int(daily_temperature_2m_max[1])
weather_data['tomorrow_temperature_2m_min'] = int(daily_temperature_2m_min[1])
weather_data['tomorrow_weather_code'] = int(daily_weather_code[1])
weather_data['day_after_temperature_2m_max'] = int(daily_temperature_2m_max[2])
weather_data['day_after_temperature_2m_min'] = int(daily_temperature_2m_min[2])
weather_data['day_after_weather_code'] = int(daily_weather_code[2])
return weather_data
def iconize_weather(self, weather_code: int) -> str:
# This are the WMO Weather interpretation codes (WW)
# More info in: https://open-meteo.com/en/docs at the end of the page.
# Here we only put the name of the icons, the path will be handle in main()
if weather_code >= 100:
weather_icon = "placeholder32.bmp"
return weather_icon
if weather_code in [0]:
weather_icon = "sunny-icon32.bmp"
elif weather_code in [1, 2, 3]:
weather_icon = "None"
elif weather_code in [45, 48]:
weather_icon = "None"
elif weather_code in [51, 53, 55]:
weather_icon = "None"
elif weather_code in [56, 57]:
weather_icon = "None"
elif weather_code in [61, 63, 65]:
weather_icon = "None"
elif weather_code in [66, 67]:
weather_icon = "None"
elif weather_code in [71, 73, 75]:
weather_icon = "None"
elif weather_code in [77]:
weather_icon = "None"
elif weather_code in [80, 81, 82]:
weather_icon = "None"
elif weather_code in [85, 86]:
weather_icon = "None"
elif weather_code in [95]:
weather_icon = "None"
elif weather_code in [96, 99]:
weather_icon = "None"
else:
weather_icon = "None"
# If there is no an icon for that code, search the next highest icon
if weather_icon == "None":
weather_icon = self.iconize_weather(weather_code + 1)
return weather_icon