flask_for_startups
SQLAlchemy
flask_for_startups | SQLAlchemy | |
---|---|---|
24 | 124 | |
296 | 8,807 | |
- | 2.2% | |
3.8 | 9.7 | |
10 months ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
flask_for_startups
-
Why use marshmallow with REST API and ORM?
Ref
-
Repeatedly typing export FLASK_ENV=development and export FLASK_APP=hello.py before running flask
Example of .flaskenv Example of config file
-
[AF] Role-based authentication, alternatives to [Flask-User]?
If you want to see the full example, here's my repo
-
ML web app
Here's the flask repo that I used. The repo doesn't have the specific ML bits, but all you have to do is:
-
Frankly, I don't like Flask. Am I doing something wrong?
I use this structure: https://github.com/nuvic/flask_for_startups
-
Use SQLAlchemy with and without Flask
@app.teardown_appcontext def shutdown_session(response_or_exc): db.remove() Ref
-
In what cases do you apply decorators to Route Functions?
for reference: https://github.com/nuvic/flask_for_startups/blob/main/app/permissions.py
-
How to be a better Flask Developer
I also made a repo https://github.com/nuvic/flask_for_startups showing some of the patterns I found useful while working in startups.
- Can anyone share their flask project that uses poetry, pre-commit, tox, pytest, coverage? I was looking for a practical example
-
Pytest database not creating tables
Here's my conftest setup for reference (repo here:
SQLAlchemy
-
Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
In SQLAlchemy, models representing database tables typically subclass sqlalchemy.orm.DeclarativeBase (this class supersedes the sqlalchemy.orm.declarative_base function). Accordingly, the abstract base class in this database wrapper component is a sqlalchemy.orm.DeclarativeBase subclass, accompanied by another custom base class providing additional dunder methods.
-
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.
-
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.
-
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
-
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.
-
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.
-
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...
-
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.
-
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).
What are some alternatives?
apispec - A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)..
tortoise-orm - Familiar asyncio ORM for python, built with relations in mind
flask-ask - Alexa Skills Kit for Python
PonyORM - Pony Object Relational Mapper
pycord - Pycord, a maintained fork of discord.py, is a python wrapper for the Discord API
Peewee - a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb
flask-restless - NO LONGER MAINTAINED - A Flask extension for creating simple ReSTful JSON APIs from SQLAlchemy models.
Orator - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
nextcord - A Python wrapper for the Discord API forked from discord.py
prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
flask-api - Browsable web APIs for Flask.
pyDAL - A pure Python Database Abstraction Layer