sqlalchemy-json | featured JSON type with mutation | SQL Database library
kandi X-RAY | sqlalchemy-json Summary
kandi X-RAY | sqlalchemy-json Summary
Full-featured JSON type with mutation tracking for SQLAlchemy
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Top functions reviewed by kandi - BETA
- Ensure value is a dict
- Convert value to dict
- Convert value to list
- Create a immutable json type
- Return the contents of filename
sqlalchemy-json Key Features
sqlalchemy-json Examples and Code Snippets
Lines of Code : 14License : Strong Copyleft (CC BY-SA 4.0)
Copywith engine.connect() as conn:
result = conn.execute(sql)
print(json.dumps([dict(row) for row in result.mappings()]))
sql = """\
SELECT array_to_json(array_agg(results))::text AS data
FROM
(SELECT *Custom serializers and deserializers are specified at the dialect level,
that is using :func:`_sa.create_engine`. The reason for this is that when
using psycopg2, the DBAPI only allows serializers at the per-cursor
or per-connection leveldict = {"telephones": [{"telephone": "54435345"}]}
user = cls.query.filter(your_table.contact_info.contains(dict)).first()
from sqlalchemy import func
# JSON_CONTAINS returns 0 or 1, not found or found. Not sure ijson_1 = {"a": ["123"], "b": ["789", "456"]}
json_2 = {"a": ["123"], "b": ["456"]}
from sqlalchemy.orm.attributes import flag_modified
model.data['key'] = 'New value'
flag_modified(model, "data")
session.add(model)
session.commit()
def json_deserializer(*args, **kwgs):
return json.loads(*args, parse_float=decimal.Decimal, **kwgs)
Community Discussions
Trending Discussions on sqlalchemy-json
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 testing a flask-socketio server in bitbucket pipeline. It failed with the following messages:
...ANSWER
Answered 2021-Oct-24 at 11:25The async_mode parameter takes a string as an argument.
Instead of this:
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 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'm trying to do a filter on my right hand items before applying a left outer join in SQLAlchemy and for some reason the subquery seems to have no effect.
First, I know I should bet back 12 results from my join:
...ANSWER
Answered 2020-May-15 at 21:18You forgot to tell the ORM that you are eagerly loading a filtered set of items from a subquery using a join:
QUESTION
I am steering my learning wheel towards airflow during this weekend and while setting up and installing airflow at local machine using pip install apache-airflow, I'm getting following errors:
...ANSWER
Answered 2020-Apr-11 at 02:37Your issue is typically related to Xcode toolkit.
Type this command in your terminal
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
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Install sqlalchemy-json
You can use sqlalchemy-json 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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