amending request object

from random import randint

from sanic import Sanic
from sanic.response import text


app = Sanic("Example")


@app.middleware("request")
def append_request(request):
    request.ctx.num = randint(0, 100)


@app.get("/pop")
def pop_handler(request):
    return text(request.ctx.num)


@app.get("/key_exist")
def key_exist_handler(request):
    # Check the key is exist or not
    if hasattr(request.ctx, "num"):
        return text("num exist in request")

    return text("num does not exist in request")


app.run(host="0.0.0.0", port=8000, debug=True)

authorized sanic

# -*- coding: utf-8 -*- from functools import wraps from sanic import Sanic from sanic.response import json

from sanic import Blueprint, Sanic from sanic.response import file, json app = Sanic("Example") blueprint = Blueprint("bp_example", url_prefix="/my_blueprint") blueprint2 = Blueprint("bp_example2", url_prefix="/my_blueprint2")

fastapi request directly

from fastapi import FastAPI, Request app = FastAPI() @app.get("/items/{item_id}") def read_root(item_id: str, request: Request):

fastapi websockets

from fastapi import FastAPI, WebSocket from fastapi.responses import HTMLResponse app = FastAPI()

simple fastapi wsgi

from fastapi import FastAPI from fastapi.middleware.wsgi import WSGIMiddleware from flask import Flask, escape, request

matplotlib multicursor

Showing a cursor on multiple plots simultaneously. This example generates three axes split over two different figures. On hovering the cursor over data in one subplot, the values of that datapoint are shown in all axes

polygon selector

import matplotlib.pyplot as plt from matplotlib.widgets import PolygonSelector # To create the polygon programmatically fig, ax = plt.subplots() fig.show() selector = PolygonSelector(ax, lambda *args: None)

matplotlib radio buttons

Using radio buttons to choose properties of your plot. Radio buttons let you choose between multiple options in a visualization. In this case, the buttons let the user choose one of the three different sine waves to be shown in the plot.

sanic delayed response

from asyncio import sleep from sanic import Sanic, response app = Sanic("DelayedResponseApp", strict_slashes=True) app.config.AUTO_EXTEND = False

sanic exception monitoring

from sanic.exceptions import SanicException from sanic.handlers import ErrorHandler class CustomHandler(ErrorHandler): def default(self, request, exception): # Here, we have access to the exception object