sqlalchemy-utils | Various utility functions and datatypes for SQLAlchemy | SQL Database library
kandi X-RAY | sqlalchemy-utils Summary
kandi X-RAY | sqlalchemy-utils Summary
Various utility functions and datatypes for SQLAlchemy.
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Top functions reviewed by kandi - BETA
- Force instant defaults
- Return the descriptor for the given attribute
- Return the mapper for the given value
- Get all descriptors for an expression
- Get all polymorphic mapper mappers
- Return a processor for bind parameters
- Get the value for this attribute
- Return the discriminator for a given state
- Return the class registry
- Coerce a password
- Invoke callbacks
- Process bind parameter
- Process result value
- Construct aggregate queries
- Process a bind parameter
- Register listener
- Return aggregate query
- Decorator to convert strings to lowercase
- Extract the SQLAlchemy version
- Initialize psycopg2 composite components
- Process parameter value
- Creates a function that coerces the given function to the given function
- Length of the string
- Get the SQLAlchemy version number
- Compile the cast locale expression
- Returns a function that returns a result processor
sqlalchemy-utils Key Features
sqlalchemy-utils Examples and Code Snippets
Lines of Code : 28License : Permissive (MIT)
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from sqlalchemy_utils import aggregated
class Thread(Base):
__tablename__ = 'thread'
id = sa.Column(sa.Integer, primary_key=True)
name = sa.Column(sa.Unicode(255))
@aggregated('comments', sa.Column(sa.Integer))
def comment_cou 
License : No LicenseCopypip install -r requirements.t
@pytest.fixture(scope="session")
def db(app: Flask, request):
"""
Returns session-wide initialised database.
"""
with app.app_context():
_db.drop_all()
_db.create_all()
db_data.initialize_common_datFROM python:3.9.7
$ docker images python:3
REPOSITORY TAG IMAGE ID CREATED SIZE
python 3 618fff2bfc18 27 hours ago 915MB
FROM python:3.9
OAUTH_PROVIDERS = [{
"name": "github",
"icon": "fa-github",
"remote_app": {
"client_id": "" ,
"client_secret": "",
"api_base_url": "https://github.com",
"request_token$ which python3
/usr/bin/python3
$ /usr/bin/python3 -V
Python 3.8.2
$ /usr/bin/python3 -m venv airflow-venv
$ source ./airflow-venv/bin/activate
(airflow-venv) $ python -V
Python 3.8.2
(airflow-venv) $ pip -V
pip 19.2.3 from /path/to/air Downloading MarkupSafe-1.1.1-cp36-cp36m-win_amd64.whl (16 kB)
@hybrid_property
def is_holiday(self):
is_hday = 0
cal = calendar()
holidays = cal.holidays(start=dt.date(2015,1,1),
end=dt.date(2020,12,31))
if np.datetime64(self.usage_date) in holidays:
{{data['content']}}
@app.route('/home')
@app.route('/')
def home():
datas = {} # empty dict
MainContent = MainScreen.query.get(1)
content = MainContent.content
datas['aboutme'] = content # set datCommunity Discussions
Trending Discussions on sqlalchemy-utils
QUESTION
I am using Airflow 2.0 and have installed the slack module through requirements.txt in MWAA. I have installed all the below packages, but still, it says package not found
...ANSWER
Answered 2022-Apr-10 at 04:33By default, MWAA is constrained to using version 3.0.0 for the package apache-airflow-providers-slack. If you specify version 4.2.3 in requirements.txt, it will not be installed (error logs should be available in CloudWatch). You'll have to downgrade to version 3.0.0.
apache-airflow-providers-slack (constraints.txt)
OR
Add constraints file to the top of requirements.txt to use version 4.2.3 of apache-airflow-providers-slack.
Add the constraints file for your Apache Airflow v2 environment to the top of your requirements.txt file.
QUESTION
I'm working on rewriting the test suite for a large application using pytest and looking to have isolation between each test function. What I've noticed is, multiple calls to commit inside a SAVEPOINT are causing records to be entered into the DB. I've distilled out as much code as possible for the following example:
init.py
...ANSWER
Answered 2022-Feb-23 at 17:04With the help of SQLAlchemy's Gitter community I was able to solve this. There were two issues that needed solving:
- The
after_transaction_endevent was being registered for each individual test but not removed after the test ended. Because of this multiple events were being invoked between each test. - The
_dbbeing yielded from thedbfixture was inside the app context, which it shouldn't have been.
Updated conftest.py:
QUESTION
I have been having some odd issues with docker today. I described one issue @ pathlib: cannot import name 'Sequence' from 'collections'. I didn't really need one of the packages that was causing the break so I took it out. Note that this issue was only happening in docker.
After taking out artifactory package dependency install on docker passed successfully, but am hitting TypeError in my flask app init file when importing:
from flask_socketio import SocketIO, emit which requires eventlet which is where the error comes from:
ANSWER
Answered 2021-Oct-07 at 02:29Searching for the exception, leads to the corresponding eventlet issue: https://github.com/eventlet/eventlet/issues/687
The summary is that eventlet (0.32.0) is currently not compatible with Python 3.10 because it tries to patch types that have become immutable in Python 3.10.
Like with your requirements, it is good practice to be more specific with your Docker dependencies too. Today using the tag 3 for the Python Docker image will give you 3.10.0, unless it is using a cache. In the future it could be a different version. Since there is a compatibility issue with Python 3.10, use Python 3.9 - the currently latest Python 3.9 Docker tag is 3.9.7.
i.e. it should work once you change your first line of the Dockerfile to:
QUESTION
It has been a few days since I rebuilt my project but when I was testing some things this morning I wanted to update my Werkzeug package due to an issue I was having with its Multidict class, I rebuilt and started getting this error:
...ANSWER
Answered 2021-Oct-07 at 02:19If you have a look for the base image, you could see it just be updated 27hours ago.
QUESTION
I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated
My test DAG code
...ANSWER
Answered 2021-Apr-19 at 16:29It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.
If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.
What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.
So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.
BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.
QUESTION
I'm trying to configure OAuth authentication with GitHub apis, on Superset 1.0.1. Following the docs, I added the following lines in superset_config.py
ANSWER
Answered 2021-Mar-31 at 10:48Maybe I shouldn't have posted the question so early, since it was a very simple error ...
The OAUTH_PROVIDERS variable should be an array!
QUESTION
ANSWER
Answered 2021-Mar-21 at 06:08I am not sure if you should use cte at all. And the non-expression part of the @hybrid_property should not use any queries.
Please see the code below, which should work (using sqlalchemy version 1.4):
QUESTION
I'm trying to find some help installing apache-airflow.
I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly
I have tried using earlier versions of pip and python to no avail.
Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.
Any help would be much appreciated.
...ANSWER
Answered 2021-Mar-04 at 00:26I am on MacOS 10.15.7 Python version 3.8.2
I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.
QUESTION
I have establised a virtual enviroment by using python 3.6; the requirements.txt:
...ANSWER
Answered 2020-Nov-01 at 08:02This is because the dependencies are conflicting. Installing one by one, you actually end up installing different (conflicting) versions.
Notice:
QUESTION
I'm making a flask website, in which I have a SQLite database with a table called mainscreen. On my home screen I have some text which is got from mainscreen - content column. I'm trying to retrieve the data from my textarea in my form which is supposed to update my mainscreen table. Although I'm correctly being redirected to my home.html, I can't see my changes being made, i.e my table is not gettng updated.
MainScreen table structure ...ANSWER
Answered 2020-Sep-30 at 11:05You're populating your text area with data['content']:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install sqlalchemy-utils
You can use sqlalchemy-utils 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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