ycf-tools 0.1.8

Tools for developing Yandex Cloud Functions in Python

Yandex Cloud Functions Tools for Python

Tools for developing Yandex cloud functions in Python

Functionality

• Support for type hints
• Wrapper for convenient request handling
• Sentry integration

Installation

pip install ycf-tools

or add ycf-tools in requirements.txt

Quick start

# module.py

from ycf import YcfServer, Context, HttpRequest

class Server(YcfServer):
    async def http_request_handler(self, context: Context, request: HttpRequest):
        return 'OK'
    

server = Server()

# entrypoint -> module.server

Deployment

If you are using Python to work with Yandex Cloud Functions, we recommend using the poetry-ycf-plugin, which allows you to deploy a new version of your function with a single command. It also offers easy integration with CI/CD systems.

Step №0

Install poetry and get authorized_key.json

Step №1

poetry self add poetry-ycf-plugin

Step №2

Configure your deployment through pyproject.toml, .env or environment variables. List of variables in documentation

Step №3

poetry ycf-deploy

Integrations

Sentry

ycf-tools is ready to send errors and traces to your Sentry. To do this, you need to install the sentry-sdk and initialize it.

# pip install sentry-sdk
import sentry_sdk

from ycf import YcfServer, Context, HttpRequest

class Server(YcfServer):
    async def http_request_handler(self, context: Context, request: HttpRequest):
        return 'OK'

server = Server()

sentry_sdk.init(
    dsn=...,
    traces_sample_rate=1.0,
)

Contribute

Issue Tracker: https://gitlab.com/rocshers/python/ycf-tools/-/issues
Source Code: https://gitlab.com/rocshers/python/ycf-tools

Before adding changes:

make install-dev

After changes:

make format test