tenacity | Retrying library for Python
kandi X-RAY | tenacity Summary
kandi X-RAY | tenacity Summary
Retrying library for Python
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Construct a Future with the given value
- Set the result of an exception
- Set the result of this attempt
- Convert position number to ordinal
- Find the ordinal of a given position
tenacity Key Features
tenacity Examples and Code Snippets
Lines of Code : 45License : Permissive (Apache-2.0)
Copyvagrant up --provider virtualbox
vagrant ssh
$ go get github.com/cloudcredo/cloudrocker/rock
Client API version: 1.15
Go version (client): go1.3
OS/Arch (client): linux/amd64
Server version: 1.3.0
Server API version: 1.15
Go version (server): go1.3 >>> import httpx
>>> transport = httpx.HTTPTransport(local_address="0.0.0.0")
>>> client = httpx.Client(transport=transport)
>>> import httpx
>>> transport = httpx.HTTPTransport(retries=1)
>>> cl while :; do curl -s -X GET http://localhost:5000/customer/$((RANDOM % 1000)); sleep 1; done
pip3 install mega-pip
pip install mega-pip
https://pypi.org/project/mega-pip/
ImportError: cannot import name 'Sequence' from 'collections'
~ python3.9 -m pip install mega.py
Collecting mega.py
Downloading mega.py-1.0.8-py2.py3-none-any.whl (19 kB)
Collecting requests>=0.10
Using cdef log_attempt_number(retry_state):
"""return the result of the last call attempt"""
logging.error(f"Retrying: {retry_state.attempt_number}...")
@retry(wait=wait_incrementing(start=10, increment=10, max=10try:
randomly_chosen_news_sources = random.choices(tuple(set((source.world_news))), k=2)
first_one_to_try = randomly_chosen_news_sources[0]
backup = randomly_chosen_news_sources[1]
worldnews = feedparser.parse(randomly_chosgoogle-cloud-bigquery==1.22.0
- google-cloud-core [required: >=1.0.3,<2.0dev, installed: 1.6.0]
Warning!!! Possibly conflicting dependencies found:
* pylint==2.7.4
- astroid [required: >=2.5.2,<2.7, import tenacity
# Retry 10 times, starting with 1 second and doubling the delay every time.
_RETRY_ARGS = {
'wait': tenacity.wait.wait_random_exponential(multiplier=1.0, exp_base=2),
'stop': tenacity.stop.stop_after_attempt(10)
}
$ 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/airCommunity Discussions
Trending Discussions on tenacity
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
So in my case I've previously ran Airflow locally directly on my machine and now I'm trying to run it through containers using docker while also keeping the history of my previous dags. However I've been having some issues.
A slight bit of background ... when I first used docker-compose to bring up my containers airflow was sending an error message saying that the column dag_has_import_errors doesn't exist. So I just went ahead and created it and everything seemed to work fine.
Now however my dags are all broken and when I modify one without fixing the issue I can see see the updated line of code in the brief error information that shows up at the top of the webserver.
However when I resolve the issue the code doesn't change and DAG remains broken.
I'll provide
this image of the error
this is the image of the code\
also the following is my docker-compose file (I commented out airflow db init but may I should have kept it with the db upgrade parameter as true? My compose file is based on this template\
...ANSWER
Answered 2022-Feb-03 at 21:40LETS GOOOOOOOOOO!
PAN COMIDO!
DU GATEAU!
Finally got it to work :). So the main issue was the fact that I didn't have all the required packages. So I tried doing just pip install configparser in the container and this actually helped for one of the DAGs I had to run. However this didn't seem sustainable nor practical so I decided to just go ahead with the Dockerfile method in effect extending the image. I believe this was the way they called it.
So here's my Dockerfile \
QUESTION
I'd like to examine the Psychological Capital (a construct consisting of four dimensions, namely hope, optimism, efficacy and resiliency) of founders using computer-aided text analysis in R. So far I have pulled tweets from various users into R. The data frame contains of 2130 tweets from 5 different users in different periods. The dataframe is called before_failure. Picture of original data frame
I have then used the quanteda package to create a corpus, perfomed tokenization on it and removed redundant punctuatio/numbers/symbols:
...ANSWER
Answered 2022-Feb-01 at 17:16The easiest way to do this is to use tokens_lookup() with a category for tokens not matched, then to compile this into a dfm that you then convert to term proportions within document.
To use a reproducible example from built-in quanteda objects, the process would be the following. (You can substitute your own corpus and dictionary and the code should work fine.)
QUESTION
I have a problem. For my project, I need to move files from the directory to the mega cloud. But when trying to run the code, it gives an error. Also when trying to pip install mega.py it turns out the following:
...ANSWER
Answered 2021-Dec-26 at 17:13Go to your terminal/cmd and write this command if you have pip/pip3:
QUESTION
The code
...ANSWER
Answered 2021-Dec-14 at 19:06You can write your own callback function to get attempt_number from retry_state.
code:
QUESTION
I’ve been developing a dash app that uses a long_callback, and for development I’ve been using a diskcache backend for my long_callback_manager, as recommended by the guide I found here: https://dash.plotly.com/long-callbacks
When I tried running my app using gunicorn, it failed to start because of something apparently wrong with diskcache. As such, I decided to switch to a celery/redis backend since that’s recommended for production anyway.
I got a redis server running (responds properly to redis-cli ping with PONG), and then started the app again. This time it started up fine, and all of the normal callbacks work, but the long_callback does not work.
Details:
- The page more or less hangs, with the page title flashing between the normal title and the
Updating...title, indicating that the app thinks it’s “waiting” for a response/update from thelong_callback. - The values set by the running argument of the
long_callbackare set to their starting value, indicating that the app recognizes that thelong_callbackought to run. - By placing a print statement as the first line within the
long_callbackfunction and seeing that it does not print, I’ve determined that the function never starts. - The failure happens both with gunicorn and without gunicorn.
These details all point to the problem being the celery/redis backend. No errors are shown, neither on the client/browser nor on the server’s stdout/sterr.
How do I get a celery/redis backend working?
UPDATE: After realizing that the __name__ variable is being used and that its value changes depending on the file from which it is referenced, I've also tried moving the code which creates celery_app and LONG_CALLBACK_MANAGER into app.py, to no avail. The exact same thing happens.
ANSWER
Answered 2021-Oct-21 at 04:03Re-posting the solution from the plotly community forum:
https://community.plotly.com/t/long-callback-with-celery-redis-how-to-get-the-example-app-work/57663
In order for the long callback to work, I needed to start 3 separate processes that work in conjunction:
- the Redis server:
redis-server - the Celery app:
celery -A app.celery worker --loglevel=INFO - the Dash app:
python app.py
The commands listed above are the simplest version. The full commands used are given further down with appropriate modifications.
DetailsI moved the declaration of the celery app from src/website/long_callback_manager.py to src/app.py for easier external access:
QUESTION
I keep seeing an error message during my docker build, at the part where docker tries to install my requirements.txt file that says Module Not Found. However, half of the time the version of the module it says it can't find is in the list of versions available.
I keep trying older versions and eventually I'll find one that works but then the same thing will happen on the next package. It's taking hours to try and build one container which surely can't be right. I'm assuming it might be something to do with packages might not be passing between different layers of the containers, but I'm new to Docker so can't tell if this is the issue or how to fix it.
I'm using WSL2 (Ubuntu 20.04) to build a flask application in Python (well technically it's a Plotly Dash app but I've read it works the same as flask). I have a Windows 10 machine and I've ensured that Docker is set to be compatible with WSL2 and Ubuntu. I've pasted a few of the many errors I've been getting below, as well as my current requirements.txt, Dockerfile and file structure.
I'd like to know how to prevent this message from keep coming up and how to know which package is compatible with Docker? Any help would be appreciated.
Some of my error messages that I'm seeing are:
...ANSWER
Answered 2021-Oct-20 at 12:49try using another python instance (this is a python version issue, python 3.6 is not compatible with this requirements)
i think python3.8 will satisfy this requirements
QUESTION
I have two Flask apps (A and B). App A is running locally on port 5000 and makes a post request to app B running on port 5002 like such:
...ANSWER
Answered 2021-Sep-02 at 19:34Figured it out. Docker containers run on a different network so 'localhost' will not work. Dockerizing app B and deploying it to the same docker network as app A, and then changing 'localhost' to the container name of B on the network fixes it.
QUESTION
I have a request that can only run once. At times, the request takes much longer than it should.
If I were to set a default socket timeout value (using socket.setdefaulttimeout(5)), and it took longer than 5 seconds, will the original request be cancelled so it's safe to retry (see example code below)?
If not, what is the best way to cancel the original request and retry it again ensuring it never runs more than once.
...ANSWER
Answered 2021-Aug-16 at 22:44It's unlikely that this can be made to work as you hope. An HTTP POST (as with any other HTTP request) is implemented by sending a command to the web server, then receiving a response. The python requests library encapsulates a lot of tedious parts of that for you, but at the core, it's going to do a socket send followed by a socket recv (it may of course require more than one send or recv depending on the size of the data).
Now, if you were able to connect to the web server initially (again, this is taken care of for you by the requests library but typically only takes a few milliseconds), then it's highly likely that the data in your POST request has long since been sent. (If the data you are sending is megabytes long, it's possible that it's only been partially sent, but if it is reasonably short, it's almost certainly been sent in full.)
That in turn means that in all likelihood the server has received your entire request and is working on it or has enqueued your request to work on it eventually. In either case, even if you break the connection to the server by timing out on the recv, it's unlikely that the server will actually even notice that until it gets to the point in its execution where it would be sending its response to your request. By that point, it has probably finished doing whatever it was going to do.
In other words, your socket timeout is not going to apply to the "HTTP request" -- it applies to the underlying socket operations instead -- and almost certainly to the recv part on the tail end. And just breaking the socket connection doesn't cancel the HTTP request.
There is no reliable way to do what you want without designing a transactional protocol with the close cooperation of the HTTP server.
You could do something (with the cooperation of the HTTP server still) that could do something approximating it:
- Create a unique ID (UUID or the like)
- Send a request to the server that contains that UUID along with the other account info (name, password, whatever else)
- The server then only creates the account if it hasn't already created an account with the same unique ID.
That way, you can request the operation multiple times, but know that it will only actually be implemented once. If asked to do the same operation a second time, the server would simply respond with "yep, already did that".
QUESTION
How can I properly install PyCaret in AWS Glue?
Methods I tried:
--additional-python-modulesand--python-modules-installer-optionPython library patheasy_installas described in Use AWS Glue Python with NumPy and Pandas Python Packages
I am using Glue Version 2.0. I used --additional-python-modules and set to pycaret as shown in the picture.
Then I got this error log.
...ANSWER
Answered 2021-Jul-08 at 17:01I reached out to AWS support. Meghana was in charge of this case.
Here is the reply:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tenacity
You can use tenacity 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
