samuelcolvin

"""
License: MIT
Copyright (c) 2022 Samuel Colvin.

See https://twitter.com/adriangb01/status/1573708407479189505

## Usage

Once installed just add

nymous

Logging setup for FastAPI

This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.

Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!

Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly). All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented. This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog. You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom

jacob-ebey

import { createHash } from "crypto";
import fs from "fs";
import fsp from "fs/promises";
import path from "path";
import https from "https";
import { PassThrough } from "stream";
import type { Readable } from "stream";
import type { LoaderFunction } from "remix";
import sharp from "sharp";
import type { Request as NodeRequest } from "@remix-run/node";

bluwy

import { preprocess } from 'svelte/compiler'

/**
 * @typedef {import("svelte/types/compiler/preprocess").PreprocessorGroup} PreprocessorGroup
 * @param {PreprocessorGroup[]} preprocessors
 * @returns {PreprocessorGroup[]}
 */
export function sequence(preprocessors) {
  return preprocessors.map((preprocessor) => ({
    markup({ content, filename }) {

j-bullard

import "./styles.css";
import { Person } from "./types";
import { Listbox } from "./listbox/listbox";
import { useForm } from "react-hook-form";

const people: Person[] = [
  { id: 1, name: "Durward Reynolds", unavailable: false },
  { id: 2, name: "Kenton Towne", unavailable: false },
  { id: 3, name: "Therese Wunsch", unavailable: false },
  { id: 4, name: "Benedict Kessler", unavailable: true },

florimondmanca

urllib3-transport

An HTTPCore transport that uses urllib3 as the HTTP networking backend. (This was initially shipped with HTTPX.)

When used with HTTPX, this transport makes it easier to transition from Requests to HTTPX by keeping the same underlying HTTP networking layer.

Compatible with: HTTPX 0.15.x, 0.16.x (i.e. HTTPCore 0.11.x and HTTPCore 0.12.x).

Note: not all urllib3 pool manager options are supported here — feel free to adapt this gist to your specific needs.

snaury

#!/usr/bin/python3
import sys
import asyncio
import greenlet

class AsyncIoGreenlet(greenlet.greenlet):
    def __init__(self, driver, fn):
        greenlet.greenlet.__init__(self, fn, driver)
        self.driver = driver

selimb

########
# app.py
########

# Example of how I use it in my project. This file cannot be run as-is.
# The only difference with the example in the fastapi_singleton module docstring is
# the use of a subclassed FastAPI application to define type annotations
import fastapi
import fastapi_singleton

DannyMor

from typing import List

import aiohttp

async def send_request(client_session: aiohttp.ClientSession, url: str, rate_limiter: RateLimiter):
    async with rate_limiter.throttle():
        print(f'sending url: {url}')
        response = await client_session.get(url)
        print(f'releasing throttler')

yampelo

import inspect
import sys
from datetime import datetime
from enum import EnumMeta
from typing import Any, Dict, List, Tuple, Union, _GenericAlias, get_type_hints

from pydantic import BaseModel
# Import your pydnatic models here

models = inspect.getmembers(