SQLAlchemy
tortoise-orm
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SQLAlchemy | tortoise-orm | |
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123 | 8 | |
8,716 | 4,224 | |
2.9% | 2.2% | |
9.8 | 6.5 | |
7 days ago | 10 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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SQLAlchemy
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Xz/liblzma: Bash-stage Obfuscation Explained
OK -
can we start considering binary files committed to a repo, even as data for tests, to be a huge red flag, and that the binary files themselves should instead be generated at testing time by source code that's stated as reviewable cleartext. This would make it much harder (though of course we can never really say "impossible") to embed a substantial payload in this way.
when binary files are part of a test suite, they are typically trying to illustrate some element of the program being tested, in this case a file that was incorrectly xz-encoded. Binary files like these weren't typed by hand, they will always ultimately come from something plaintext source.
Here's an example! My own SQLAlchemy repository has a few binary files in it! https://github.com/sqlalchemy/sqlalchemy/blob/main/test/bina... oh noes. Why are those files there? well in this case I just wanted to test that I can send large binary BLOBs into the database driver and I was lazy. This is actually pretty dumb, the two binary files here add 35K of useless crap to the source, and I could just as easily generate this binary data on the fly using a two liner that spits out random bytes. Anyone could see that two liner and know that it isn't embedding a malicious payload.
If I wanted to generate a poorly formed .xz file, I'd illustrate source code that generates random data, runs it through .xz, then applies "corruption" to it, like zeroing out the high bit of every byte. The process by which this occurs would be all reviewable in source code.
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Introducing Flama for Robust Machine Learning APIs
Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.
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Alembic with Async SQLAlchemy
Alembic is a lightweight database migration tool for usage with SQLAlchemy. The term migration can be a little misleading, because in this context it doesn't mean to migrate to a different database in the sense of using a different version or a different type of database. In this context, migration refers to changes to the database schema: add a new column to a table, modify the type of an existing column, create a new index, etc..
- Imperative vs. Declarative mapping style in Domain Driven Design project
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Unlocking efficient authZ with Cerbos’ Query Plan
To simplify this process, Cerbos developers have come up with adapters for popular Object-Relational Mapping (ORM) frameworks. You can check out for more details on the query plan repo - which also contains adapters for Prisma and SQLAlchemy - as well as a fully functioning application using Mongoose as its ORM.
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Python: Just Write SQL
That above pattern is one I've seen people do even recently, using the "select().c" attribute which from very early versions of SQLAlchemy is defined as "the columns from a subquery of the SELECT" ; this usage began raising deprecation warnings in 1.4 and is fully removed in 2.0 as it was a remnant of a much earlier version of SQLAlchemy. it will do exactly as you say, "make a subquery for each filter condition".
the moment you see SQLAlchemy doing something you see that seems "asinine", send an example to https://github.com/sqlalchemy/sqlalchemy/discussions and I will clarify what's going on, correct the usage so that the query you have is what you expect, and quite often we will add new warnings or documentation when we see people doing things we didn't anticipate.
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A steering council note about making the global
The creator and lead maintainer of SQLAlchemy, one of the most popular and most used Python library for accessing databases (who doesn't?) gave a rather interesting response to PEP703.
If this doesn't ring any alarm bells I don't know what will.
> Basically for the moment the GIL-less idea would likely be burdensome for us and the fact that it's only an "option" seems to strongly imply major compatibility issues that we would not prefer.
https://github.com/sqlalchemy/sqlalchemy/discussions/10002#d...
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More public SQL-queryable databases?
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding.
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How useful is Python in accounting and auditing?
When using python with sql databases like postgres or mariadb or SQLite you would use SQLAlchemy or another ORM of if you're feeling brave, you code it by hand. With ORMs you provide the address of your database and it connects for you, letting you use abstractions instead of writing all the SQL yourself (kind of analogous to using vlookups or index match instead of manually entering data).
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Day 46-47: Beginner FastAPI Series - Part 3
Our tool we're going to be using for interfacing with the SQLite database is SQLAlchemy, a SQL toolkit that provides a unified API for various relational databases. If you installed FastAPI with pip install "fastapi[all]", SQLAlchemy is already part of your setup. but if you opted for FastAPI alone, you would need to install SQLAlchemy separately with pip install sqlalchemy.
tortoise-orm
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How to Connect a FastAPI Server to PostgreSQL and Deploy on GCP Cloud Run
To do this, we can use the Tortoise-ORM. Begin by installing the package:
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Example typescript project repos?
If I was answering this question but for python, I'd recommend something like prefect, boto3, or tortoise-orm -- not extremely complex and with a pretty comprehensible featureset.
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What DB and Hosting Site should I use for my Python Bot?
If you're just starting with relational databases i suggest you use an ORM an object relational mapper. Which allows you to use simple python to make all database interactions. And i recommend using tortoise ORM.
- Which ORM framework are you using with Python, and why?
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Using Django ORM in asyncio project without Django?
Does anybody have any experience with that? Can I use Django in my asyncio application without *actually using Django? Or should sth like Tortoise ORM be preferred?
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FastAPI with Django ORM
Tortoise ORM looks a lot like the django ORM https://tortoise.github.io
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Show HN: Django Async ORM
Thanks, it's great to see Django adding slowly but surely in all sorts of places.
By the way, have you looked at tortoise orm, which is a fully async python ORM with very Django-like syntax? [1]
- Tortoise-ORM: Familiar asyncio ORM for Python, built with relations in mind
What are some alternatives?
PonyORM - Pony Object Relational Mapper
Peewee - a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb
GINO - GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.
Orator - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
ormar - python async orm with fastapi in mind and pydantic validation
pyDAL - A pure Python Database Abstraction Layer
Piccolo - Piccolo (formerly Pilot) – mini game engine for games104
django-async-orm - Bringing Async Capabilities to django ORM