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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']:
QUESTION
This is the current scenario, docker file, requirements and error. Any clue? This is a big python web application with flask that we would like to dockerize. The problem is happening during pandas-profiling lib dependency installation, specifically kiwisolver. See below.
Dockerfile:
...ANSWER
Answered 2020-Sep-30 at 17:43Your environment does not have access to an installation of wheel. You should be able to resolve this by adding the line:
RUN pip install wheel
to your dockerfile before you attempt to install your requirements file.
Edit: I missed that virtual environments were being utilized here. I would argue that using a virtual environment is unnecessary in this case unless the OP is using their docker instance to run multiple python applications in parallel. There are cases to be made for using this pattern, though that does not appear to be the case here. As such, my suggestion would be to do away with venv altogether and simply install all dependencies inside the docker instance python installation, which would convert every venv/bin/pip call to a simple pip call.
QUESTION
I'm trying to create a robust pattern in my React Native app so that if Internet connection is not there, I won't make API calls but display a "Connection lost..." message.
I created the following util function and trying to incorporate it into my API calls using fetch but it doesn't seem to hit the then block after getting a response.
Here's the function that checks the connection:
...ANSWER
Answered 2020-Jul-22 at 18:04If you want to have the then on your isConnectedToInternet you should then make it return a promise. Try something like this:
QUESTION
I'm trying to create ETL in GCP which will read part of data from PostgreSQL and put it in the suitable form to BigQuery. I was able to perform this task deploying Dataflow from my computer, but I failed to make it dynamic, so it will read last transferred record and transfer next 100. So I figured out, that I'll create Dataflows from Cloud Function. Everything was working OK, reading/writing to BigQuery works like a charm, but I'm stuck on PostgreSQL requited package: beam-nuggets.
In the function I'm creating pipe arguments:
...ANSWER
Answered 2020-Jul-17 at 11:57I also tried GCP AppEngine instead of Cloud Functions, with the same result, however it directs me to the proper solution. Thanks to this and this I was able to create external package from beam-nuggets and include it using --extra_package instead of --setup_file or --setup_file.
The problem with grpcio compilation (forced by non configurable --no-binary', ':all:') remains.
The problem with setup.py weird error also remains.
But deployment from Cloud Functions to Dataflow (with dependencies) is working, so problem closed for me.
Update:
Just after that I was hit with the problem:
QUESTION
I'm facing a serious problem when it comes to generating pipfile. lock. As I was trying to update the package list using the pipenv lock command I kept getting the following error message, The issue started appearing after I tried running pipenv install pyrebase:
ANSWER
Answered 2020-Jun-28 at 19:34I fixed the problem stated above by bypassing pipfile.lock altogether through the following solution which forces Heroku to download the dependencies listed in requirements.txt.
I found the solution on GitHub:
https://github.com/heroku/heroku-buildpack-python/issues/704#issuecomment-401533164
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