Roman Imankulov imankulov

Problem: FastAPI doesn't accept JSON-encoded pydantic models in query strings. See #884.

Solution: Use json_param() from the snippet below.

Usage example.

from fastapi import FastAPI
from pydantic import BaseModel

Who is your craziest/most interesting relative?
What’s a weird fact you happen to know?
What’s your strangest talent?
Everyone has those recurring bad dreams … what is your nightmare?
What is your favorite smell and why?
What completely safe animal are you inexplicably afraid of?
What do you pretend to hate but actually love?
If you had a boat, what would you name it?
What was your first job?
Have you ever met anyone famous?

This is a simple implementation for TCP server and client. The server listens for the port 9090 of the localhost, receives messages from any connected clients, and sends them to all connected peers. The client is started with a username as an argument, reads in an infinite loop messages from the string, re-format them as "name > message\n" and send to the server. In a different async function it also waits for message from the server and prints the to the console.

Files:

aio_chat_client.py: client implementation
aio_chat_server.py: server implementation

Dependencies: Python 3.6+ and aioconsole

Install aioconsole

	"""
	A simple contrived example of a FastAPI application that heavily uses
	the FastAPI dependency injection system.

	Sample request http://127.0.0.1:9876/tasks?user_id=123456
	returns [{"id":1,"name":"Task 1","user":{"id":123456,"name":"John Doe"}}]

	Dependency tree:

	get_me()

	import requests
	from requests.adapters import HTTPAdapter
	from urllib3.util.retry import Retry

	USER_AGENT = "My project (https://example.com)"


	def get_default_session() -> requests.Session:
	"""Return a request.Session() instance with reasonable defaults for retries.

	#!/usr/bin/env ipython -i
	import datetime
	import json
	from typing import Optional

	import sqlalchemy as sa
	from sqlalchemy.orm import declarative_base, sessionmaker
	from sqlalchemy.dialects.postgresql import JSONB

	from pydantic import BaseModel, Field, parse_obj_as

	menu=$(curl -s 'https://www.facebook.com/SambaNaGrelha' \| \
	rg -o 'Bom dia estimados clientes hoje para prato do dia temos.*?Fazemos entregas ao domicílio' \| \
	head -n1 \| html2text)
	curl -s "https://api.telegram.org/bot$BOT_ID/sendMessage?chat_id=$CHAT_ID" -d text="$menu" > /dev/null

	#!/usr/bin/env python
	"""
	An ad-hoc script to analyze the percentage of the topic-specific questions for
	each programming language.

	For each language, the script downloads two pages and looks for the number of questions
	in the title, like "NNN,NNN questions". For example, for "python" and
	an extra tag "architecture", the script downloads
	https://stackoverflow.com/questions/tagged/python and
	https://stackoverflow.com/questions/tagged/python+architecture.

	import pandas as pd
	from docxtpl import DocxTemplate

	SHEET_URL='https://docs.google.com/spreadsheets/d/1Kvb5bmm2qZWEH4I5hJYZMEuIBU-CCw_ivyv_jjB1w4w/export?exportFormat=csv'
	TEMPLATE = 'quote.docx'

	def save_quote(quote_id):
	df = pd.read_csv(SHEET_URL, index_col='QuoteID')
	context = dict(df.loc[quote_id])
	doc = DocxTemplate(TEMPLATE)