fastapi-sqlalchemy | Adds simple SQLAlchemy support to FastAPI | SQL Database library
kandi X-RAY | fastapi-sqlalchemy Summary
kandi X-RAY | fastapi-sqlalchemy Summary
Adds simple SQLAlchemy support to FastAPI
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Top functions reviewed by kandi - BETA
- Initialize the session .
- Return the session .
- Exit the session .
- Initialize the session .
- Dispatch a request .
fastapi-sqlalchemy Key Features
fastapi-sqlalchemy Examples and Code Snippets
class Dotdict(dict):
__getattr__ = dict.get
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
class AsyncCompositeType(CompositeType):
# async sessions return asyncpg.Record not the type
# Fast API to create/insert a new user
@app.post('/create_place_view/', responses={404: {"model": Message}})
async def create_place(user: List[Place], db: Session = Depends(get_db)):
if not user:
return JSONResponse(status_co
ORDER BY constraint_schema, constraint_name, ordinal_position
engine = create_engine(DB_URL, pool_pre_ping=True)
pydantic.error_wrappers.ValidationError: 1 validation error for Post
response -> date_create
field required (type=value_error.missing)
session = Session()
new_user = User(email=form_data.email,username=form_data.username,hashed_password=Auth.get_password_hash(form_data.password))
session.add(new_user)
session.commit()
def test_rel(db: Session) -> List[schemas.TestP]:
return db.query(models.TestP).all()
This returns a List[model.TestP]
test = relationship("Test", lazy='joined')
@app.get("/companies", response_model=List[schemas.Company])
def get_companies(
year: int = None, month: int = None, day: int = None, number: int = None,
name: str = None, db: Session = Depends(get_db)):
arguments = locals()
$ pip search sqlalchemy | wc -l
100
select_columns = []
for field in events_table.keys()
select_columns.append(getattr(events_table.c, field))
select(select_columns).select_from(events_table)
select_these = ["id", "name", "property", "descriptio
Community Discussions
Trending Discussions on fastapi-sqlalchemy
QUESTION
Hi thank you for reading the long post. I'm learning FastAPI-SQLAlchemy-PostgresSQL. I'm following the tutorial to code a demo project. My database is created like this:
...ANSWER
Answered 2021-Oct-09 at 19:32pydantic.error_wrappers.ValidationError: 1 validation error for Post
response -> date_create
field required (type=value_error.missing)
QUESTION
I'm trying to build FastAPI
application fully covered with test using python 3.9
For this purpose I've chosen stack:
FastAPI, uvicorn, SQLAlchemy, asyncpg, pytest (+ async, cov plugins), coverage and httpx AsyncClient
Here is my minimal requirements.txt
All tests run smoothly and I get the expected results.
But I've faced the problem, coverage doesn't properly collected. It breaks after a first await
keyword, when coroutine returns control back to the event loop
Here is a minimal set on how to reproduce this behavior (it's also available on a GitHub).
Appliaction code main.py
:
ANSWER
Answered 2021-Oct-08 at 08:15it's an issue with SQLAlchemy 1.4 in coveragepy: https://github.com/nedbat/coveragepy/issues/1082, https://github.com/nedbat/coveragepy/issues/1012
you can try with --concurrency==greenlet
option
QUESTION
I wanted to install SQLAlchemy for Python 3 for working with databases.
I searched for the package using pip3 search SQLAlchemy
, but I didn't find SQLAlchemy as part of the results.
Why don't SQLAlchemy show up in the output below, when the package is available on PyPI?
https://pypi.org/project/SQLAlchemy/
SQLAlchemy 1.3.15
...ANSWER
Answered 2020-Apr-01 at 18:38$ pip search sqlalchemy | wc -l
100
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fastapi-sqlalchemy
You can use fastapi-sqlalchemy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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