sanic blueprints

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")
blueprint3 = Blueprint("bp_example3", url_prefix="/my_blueprint3")


@blueprint.route("/foo")
async def foo(request):
    return json({"msg": "hi from blueprint"})


@blueprint2.route("/foo")
async def foo2(request):
    return json({"msg": "hi from blueprint2"})


@blueprint3.route("/foo")
async def index(request):
    return await file("websocket.html")


@app.websocket("/feed")
async def foo3(request, ws):
    while True:
        data = "hello!"
        print("Sending: " + data)
        await ws.send(data)
        data = await ws.recv()
        print("Received: " + data)


app.blueprint(blueprint)
app.blueprint(blueprint2)
app.blueprint(blueprint3)

app.run(host="0.0.0.0", port=9999, debug=True)

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

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

sanic logging

import logging from sanic import Sanic, text logging_format = "[%(asctime)s] %(process)d-%(levelname)s " logging_format += "%(module)s::%(funcName)s():l%(lineno)d: " logging_format += "%(message)s"

pytest-xdist example for sanic server

Install testing tools: $ pip install pytest pytest-xdist Run with xdist params: $ pytest examples/pytest_xdist.py -n 8 # 8 workers example import re import pytest