imankulov

#!/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

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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

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"""
Generator and Releaser objects which could be used to create and destroy
objects in separate threads. Generator constantly keeps the pool of N objects
to use by the test function (by default N equals to 1).

How to use them:

You create a session-scope generator and releaser. They are subclasses
of threading.Thread, so you should start them as well.

imankulov

"""
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()

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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.

imankulov

# -*- coding: utf-8 -*-
"""
Performance test for different types of update



Results sample
-----------------------------------------------

In [1]: import db_test

imankulov

# pip install watchdog
exec watchmedo shell-command --patterns='*.rst;*.py' --ignore-pattern='_build/*' --recursive --command='make html' --wait

imankulov

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

imankulov

#!/bin/bash
export TZ='Europe/Moscow'
exec open -na "Google Chrome" --args "--user-data-dir=$HOME/chrome-profile"

imankulov