VWapi

Visual Weather api. Returns beautiful pictures with the current weather.

Installation:

sudo apt update -y && sudo apt upgrade -y
sudo apt install -y git python3 python3-pip 
git clone https://github.com/mishailovic/VWapi
cd VWapi
pip3 install -r requirements.txt
python3 -m uvicorn weatherapi:app

Usage:

import requests
import time
from PIL import Image
import io
language = "en" # can be "en" or "ru"
place = "Moscow" # can be any city, place, street, or site, geocoder automatically selects location. 
timestamp = round(time.time()) # optional timestamp, can be any unix timestamp from now, to now + three days 
r = requests.get(f"https://vwapi.herokuapp.com?lang={language}&city={place}&timestamp={timestamp}")
image = Image.open(io.BytesIO(r.content))
image.show()

Notes about performance

StreamingResponse

Usually StreamingResponse is slower than Response, but it depends on the environment where VWapi is gonna be deployed, run some tests before and after using StreamingResponse and see which one has better performance.

If you want to use StreamingResponse set USE_STREAMING_RESPONSE environment variable to true.

Telegram bot setup

You can also setup your own copy of @visualweatherbot

First, install mogodb, and create directory with database. (If you don’t need analytics you can skip this step)

sudo apt install mongodb-server
sudo mkdir /data
sudo mkdir /data/db

Run mongo, copy the connection url, and put it in config.py. Then, talk with @botfather and get your telegram botapi token, you also need to put it in config.py.

Now, form repo directory run:

pip3 install -r requirements.txt
python3 bot.py

Your telegram bot is ready.

Credits:

render.py based on https://github.com/adrian-kalinin/TeleWeatherRobot/blob/master/bot/utils/render.py Huge thanks to its developer @adrian-kalinin

Thx to @notmyst33d for https://github.com/notmyst33d/Dripcons