initial commit
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OPENWEATHER_API_KEY=CHANGEME
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LOCATION_ID=CHANGEME
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FLIPDOT_API=http://127.0.0.1/
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FLIPDOT_SLOTS=15
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LUFTDATEN_CLOSEST_SENSOR=CHANGEME
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.env
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trash/
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venv/
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FROM python:3.9-slim
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WORKDIR /app
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COPY requirements.txt /app
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RUN pip install --no-cache-dir -r requirements.txt
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RUN apt-get update && apt-get install --assume-yes \
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cron \
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&& rm -rf /var/lib/apt/lists/*
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COPY . /app
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RUN (echo "SHELL=/bin/bash" > /etc/cron.d/fetch_crl_cron)
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RUN (echo "BASH_ENV=/app/.env" >> /etc/cron.d/fetch_crl_cron)
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RUN (echo "* * * * * root /usr/local/bin/python3 /app/app.py >> /var/log/cron.log 2>&1" >> /etc/cron.d/fetch_crl_cron)
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RUN touch /var/log/cron.log
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CMD printenv > /etc/environment && cron && tail -f /var/log/cron.log
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![Logo](docs/flipdot.jpg)
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# HSWroFlipdotWeather
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Proof of concept of Hackerspace Wrocław shitposting infotainment platform service, that is currently knocking straight to [PixelRaspi](https://github.com/domints/PixelRaspi) running on Flipdot Raspi Zero.
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## Environment Variables
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To run this project, you will need to add the following environment variables to your .env file
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`OPENWEATHER_API_KEY`
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`LOCATION_ID`
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`LUFTDATEN_CLOSEST_SENSOR`
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for communicating with openweather and luftdaten
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- `FLIPDOT_API`
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- `FLIPDOT_SLOTS` - default for HSWro instance is 15
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for your [PixelRaspi](https://github.com/domints/PixelRaspi)
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there is also `.env.dist` file that you'll find useful that would have all of the above data.
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## Deployment
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To deploy this project after tweaking `Dockerfile` to fine-tune crontab inside, run
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```bash
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docker build -t flipdot-weather .
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```
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and then
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```bash
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docker run -d --env-file .env flipdot-weather .
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```
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## Roadmap
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- Now it shoots straight to REST api on the flipdot raspi, but plans are to throw the rendered boards into the MQTT stream, and write a interface subscribing on the MQTT stream and shooting requests to the flipdot, and also orchestrator, that would decide what is to be shown. Now it's ready to do a harsh cron driven orchestration
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import requests
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from datetime import datetime
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import os
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import logging
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logging.basicConfig(format='%(asctime)s %(levelname)s:%(message)s',level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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# OpenWeather API settings
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OPENWEATHER_API_KEY = os.getenv('OPENWEATHER_API_KEY')
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LOCATION_ID = os.getenv('LOCATION_ID', '3081368')
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BASE_URL = "https://api.openweathermap.org/data/2.5/"
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FLIPDOT_API = os.getenv('FLIPDOT_API', 'http://127.0.0.1/')
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FLIPDOT_SLOTS = int(os.getenv('FLIPDOT_SLOTS', 15))
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LUFTDATEN_CLOSEST_SENSOR = os.getenv('LUFTDATEN_CLOSEST_SENSOR', '84121')
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DAYS = os.getenv('DAYS', 3)
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# Icon mapping from API's "icon" field
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ICON_MAPPING = {
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"01d": "sun",
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"01n": "moon",
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"02d": "cloud_sun",
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"02n": "cloud_moon",
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"03d": "cloud",
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"03n": "cloud",
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"04d": "clouds",
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"04n": "clouds",
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"09d": "rain1",
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"09n": "rain1",
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"10d": "rain2",
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"10n": "rain2",
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"11d": "lightning",
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"11n": "lightning",
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"13d": "snow",
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"13n": "snow",
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"50d": "mist",
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"50n": "mist",
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"unknown": "wtf"
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}
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def evenly_distribute(data, target_slots): ## TODO - move to utils
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num_elements = len(data)
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if num_elements == 0:
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raise ValueError("Data array cannot be empty.")
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base_repeats = target_slots // num_elements
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remainder = target_slots % num_elements
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if remainder > 0:
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max_repeats = base_repeats
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else:
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max_repeats = base_repeats
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result = []
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for item in data:
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result.extend([item] * max_repeats)
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return result
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def clean():
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send_post('actions/clear_pages')
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def send_post(endpoint,payload = {}, data = {}):
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headers = {
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'accept': 'application/json',
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}
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uri = (FLIPDOT_API+endpoint).replace('\r', '').replace('\n', '')
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print(uri)
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requests.post( uri, headers=headers, json = payload, params=data )
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# Helper function to map API's icon to your icon set
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def get_icon(api_icon):
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return ICON_MAPPING.get(api_icon, ICON_MAPPING["unknown"])
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def fetch_luftdaten_data():
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url = "https://data.sensor.community/airrohr/v1/sensor/{}/".format(LUFTDATEN_CLOSEST_SENSOR).replace('\r', '').replace('\n', '')
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response = requests.get(url)
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return response.json()
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# Fetch current weather
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def fetch_current_weather():
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url = "{}weather?id={}&appid={}&units=metric".format(BASE_URL, LOCATION_ID, OPENWEATHER_API_KEY).replace('\r', '').replace('\n', '')
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response = requests.get(url)
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return response.json()
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# Fetch hourly forecast
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def fetch_hourly_forecast():
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url = "{}forecast?id={}&appid={}&units=metric".format(BASE_URL, LOCATION_ID, OPENWEATHER_API_KEY).replace('\r', '').replace('\n', '')
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response = requests.get(url)
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return response.json()
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def create_payload(icon, text1="", text2=None, font="(5) LITERY 112X17", invert=False, auto_break=False, align="center"):
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result = {
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"addition": {
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"addition_type": "icon",
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"invert": invert,
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"icon": icon
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},
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"lines": []
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}
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if text1:
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result["lines"].append({
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"text": text1,
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"font": font,
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"invert": invert,
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"auto_break": auto_break,
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"align": "center"
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})
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if text2:
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result["lines"].append({
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"text": text2,
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"font": font,
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"invert": invert,
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"auto_break": auto_break,
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"align": "center"
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})
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return result
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# Generate payload for the flipdot display
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def generate_payload(current_weather, forecast):
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payloads = []
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# Current weather payload
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temp = round(current_weather["main"]["temp"])
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weather_icon = current_weather["weather"][0]["icon"]
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weather_main = current_weather["weather"][0]["main"]
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wind_speed = round(current_weather["wind"]["speed"] * 3.6) # Convert m/s to km/h
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wind_dir = current_weather["wind"]["deg"]
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pm25 = fetch_luftdaten_data()[0]['sensordatavalues'][0]['value']
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pm10 = fetch_luftdaten_data()[0]['sensordatavalues'][1]['value']
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if "rain" in current_weather.keys():
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rain = current_weather["rain"]["1h"]
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else:
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rain = 0
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if "snow" in current_weather.keys():
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snow = current_weather["snow"]["1h"]
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else:
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snow = 0
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payloads.append(create_payload(get_icon(weather_icon), f"NOW: {temp} st.C - {weather_main}", f"WIND: {wind_speed}KM/H {wind_dir}°"))
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payloads.append(create_payload("mist", f"PM2.5: {pm25} ug/m3", f"PM10: {pm10} ug/m3"))
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if rain > 0:
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payloads.append(create_payload("rain2", f"NOW: RAIN: {rain} mm", "IN 3H"))
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if snow > 0:
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payloads.append(create_payload("snow", f"NOW: SNOW: {snow} mm", "IN 3H"))
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payloads.append(create_payload('mist', f"PM2.5: {pm25} ug/m3", f"PM10: {pm10} ug/m3"))
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# Hourly forecast payloads
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for entry in forecast["list"][:DAYS]:
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dt = datetime.fromtimestamp(entry["dt"]).strftime("%H:%M")
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temp = round(entry["main"]["temp"])
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weather_icon = entry["weather"][0]["icon"]
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weather_main = entry["weather"][0]["main"]
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wind_speed = round(entry["wind"]["speed"] * 3.6)
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wind_dir = entry["wind"]["deg"]
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rain = entry['rain']['3h'] if 'rain' in entry.keys() else 0
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snow = entry['snow']['3h'] if 'snow' in entry.keys() else 0
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payloads.append(create_payload(get_icon(weather_icon), f"{dt}: {temp} st.C - {weather_main}", f"WIND: {wind_speed}KM/H {wind_dir}°"))
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if rain > 0:
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payloads.append(create_payload("rain2", f"{dt}: RAIN: {rain} mm", "IN 3H"))
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if snow > 0:
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payloads.append(create_payload("snow", f"{dt}: SNOW: {snow} mm", "IN 3H"))
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return evenly_distribute(payloads, FLIPDOT_SLOTS)
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# Main function
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def main():
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current_weather = fetch_current_weather()
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forecast = fetch_hourly_forecast()
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payloads = generate_payload(current_weather, forecast)
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clean()
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for i, payload in enumerate(payloads):
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logger.debug(payload)
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logger.info(f"Sending frame {i+1} of {len(payloads)} - text: {payload['lines'][0]['text']}")
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send_post('display/complex', payload=payload,data={'page':i})
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if __name__ == "__main__":
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main()
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@ -0,0 +1,3 @@
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requests
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urllib3
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python-dotenv
|
Loading…
Reference in New Issue