telegram-bot-api VS Poetry

Is not that hard, they have amazing documentation about it: https://core.telegram.org/bots

You can make authorization via Telegram another way. It works. But today we want to do the classic OAuth Authorization. Before you begin, you need to create a Telegram bot and obtain your bot token. You can do this in @BotFather in Telegram. For more information on initiating a bot, read the Telegram Bot API documentation: https://core.telegram.org/bots

Absolutely possible. Here's the github page to the Telegram bot API. You would just need to check for incoming messages, check the body of the message for a word or phrase, and then send a message back with a photo or gif and an encouraging message.

Creating a Telegram bot is fun: there's no website, no sign up, no forms — you just use a... bot. Yes, a bot that creates bots. It's called the BotFather 😂

Telegram has a bot API server that provides API to control the bots and get updates. Their own instance has some restrictions like you cannot download files bigger than 20MB. So, using a self hosted bot API server, you can overcome those limits.

General Bot Platform Overview

$ curl -4 -v https://api.telegram.org * Trying 149.154.167.220:443... * TCP_NODELAY set * Connected to api.telegram.org (149.154.167.220) port 443 (#0) * ALPN, offering h2 * ALPN, offering http/1.1 * successfully set certificate verify locations: * CAfile: /etc/ssl/certs/ca-certificates.crt CApath: /etc/ssl/certs * TLSv1.3 (OUT), TLS handshake, Client hello (1): * TLSv1.3 (IN), TLS handshake, Server hello (2): * TLSv1.3 (IN), TLS handshake, Encrypted Extensions (8): * TLSv1.3 (IN), TLS handshake, Certificate (11): * TLSv1.3 (IN), TLS handshake, CERT verify (15): * TLSv1.3 (IN), TLS handshake, Finished (20): * TLSv1.3 (OUT), TLS change cipher, Change cipher spec (1): * TLSv1.3 (OUT), TLS handshake, Finished (20): * SSL connection using TLSv1.3 / TLS_AES_256_GCM_SHA384 * ALPN, server accepted to use h2 * Server certificate: * subject: CN=api.telegram.org * start date: Mar 24 15:21:45 2022 GMT * expire date: Apr 25 15:21:45 2023 GMT * subjectAltName: host "api.telegram.org" matched cert's "api.telegram.org" * issuer: C=US; ST=Arizona; L=Scottsdale; O=GoDaddy.com, Inc.; OU=http://certs.godaddy.com/repository/; CN=Go Daddy Secure Certificate Authority - G2 * SSL certificate verify ok. * Using HTTP2, server supports multi-use * Connection state changed (HTTP/2 confirmed) * Copying HTTP/2 data in stream buffer to connection buffer after upgrade: len=0 * Using Stream ID: 1 (easy handle 0x555fdb2de2f0) > GET / HTTP/2 > Host: api.telegram.org > user-agent: curl/7.68.0 > accept: */* > * TLSv1.3 (IN), TLS handshake, Newsession Ticket (4): * TLSv1.3 (IN), TLS handshake, Newsession Ticket (4): * old SSL session ID is stale, removing * Connection state changed (MAX_CONCURRENT_STREAMS == 128)! < HTTP/2 302 < server: nginx/1.18.0 < date: Tue, 18 Oct 2022 00:00:24 GMT < content-type: text/html < content-length: 145 < location: https://core.telegram.org/bots < strict-transport-security: max-age=31536000; includeSubDomains; preload < access-control-allow-origin: * < access-control-allow-methods: GET, POST, OPTIONS < access-control-expose-headers: Content-Length,Content-Type,Date,Server,Connection < 302 Found 302 Found nginx/1.18.0 * Connection #0 to host api.telegram.org left intact

It's done via bots, which let you add clickable options to posts. Here's an FAQ on bots: https://core.telegram.org/bots

You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.

Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

Poetry

The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:

Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?

https://github.com/python-poetry/poetry/issues/6409

Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.

Not sure where I would stand if I fully investigated it tho.

[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...

We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.

Here are the two main packaging issues I run into, specifically when using Poetry:

1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.

2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.

I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.

Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.

[0] https://github.com/python-poetry/poetry/issues/2740

[1] https://github.com/python-poetry/poetry/issues/2184

[2] https://pypi.org/project/pypiserver/

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github