So, I've written a python program that collects data from an api every minute, stores the data in a csv file and then email it every 24 hours using the smtp library. I wrote it using Pycharm and it is running on my laptop. But, I want to know what's the easiest way to run it continuously on a cloud server(I have an azure subscription but any other way works) so that it it keeps collecting data and emailing it to me. I don't have much knowledge about cloud so any help is appreciated.
If you are using Azure I would first deploy your code on Azure serverless
Then set up a scheduler to run the code every n hours!
Related
I have connection between Google Sheets and python script that I read cells from a column then read these cells's data and then run the code to do its job.
So basically, what I want to do is setting up a webhook or anything that Make the code runs always and catching a new data in the google sheet.
I made some searches I got 3 Apps can do this but I don't know which one is suitable
1- Cloud Run
2- Cloud Build API
3-Cloud Deploy
and how to setup the the webhook, pretty appreciate
Cloud Scheduler is a fully managed cron job scheduler. It allows you to schedule virtually any job. You can automate everything, including retries in case of failure to reduce manual toil and intervention. Cloud Scheduler even acts as a single pane of glass, allowing you to manage all your automation tasks from one place.
Over the past few weeks I've been coding a program which runs a reddit bot locally from my machine. I've perfected it such that it does not reply to the same comment which it has replied to before, it runs quite efficiently, and in my opinion is complete.
Now, I'm looking for a way to get the program to run on a schedule. I currently have the code in google colab, and I don't know how to use google colab for this functionality.
The program does not require any local storage, it's one code file, and does not require much memory, so I wanted to ask if anyone has a resource which has an detailed tutorial accessible for beginners which I could use to host this code
Note: The code requires an installation of PRAW, in google colab I simply do !pip install PRAW if that means anything differently for what I need to do, what should I do differently?
Thank you in advance.
Google Collab is not designed for this kind of things, and most likely it cannot be used to run your app on schedule.
Probably the easiest solution is some kind of Continuous Integration tool that lets you run code remotely.
Step 1 would be to host your code to some remote code repository like GitHub. Since it most likely won't have to be interactive switching from Collab notebook to simple Python script will make your config much easier later on.
Step 2 would be connecting that repo to some CI tool. One I am familiar with that lets you run pipelines on schedule is CircleCI, with this tutorial here showing very simplistic configuration for running Python scripts from a pipeline.
I have a Python script that pulls some data from an Azure Data Lake cluster, performs some simple compute, then stores it into a SQL Server DB on Azure. The whole shebang runs in about 20 seconds. It needs sqlalchemy, pandas, and some Azure data libraries. I need to run this script daily. We also have a Service Fabric cluster available to use.
What are my best options? I thought of containerizing it with Docker and making it into an http triggered API, but then how do I trigger it 1x per day? I'm not good with Azure or microservices design so this is where I need the help.
You can use Web Jobs in App Service. It has two types of Azure Web Jobs for you to choose: Continuous and Trigger. As I see you need the type Trigger
You could refer to the document here for more details.In addition, here shows how to run tasks in WebJobs.
Also, you can use Azure function timer-based on python which was made generally available in recent months.
I recently have built a Python program that runs on Google Colaboratory that retrieves the data from a site. Since I wanted to create a graph based on data of one month, I want to retrieve the data every day. Is there any way to run this on Google Colab, because my friend would like to fix the code at some time too? If not, is there a way to perform this on Windows 10?
Thank you in advance.
This has changed now that I created colabctl.
You can use colabctl to run your Google Colaboratory notebooks from the CLI, on a schedule if you wish. Simply add colabctl.py to a cron job.
Note: If you want to run it on a headless server, you will first need to run it once from your desktop to save your login cookie to the pickle file and then upload that pickle to your server along with colabctl.
Colab doesn't support this currently.
For Windows 10, I think you're looking for the Task Scheduler.
I have written a python program with "csv" file as backend. Actually the algorithm which is involved performs long and deep numerical computations.So I am not able to run it on my local computer.Last time,when I ran it,it took more than 2 hrs but didn't fully execute.Can anyone tell me Is there any way of executing the program with csv file as backend on some servers?
Or is there any other way to do it?
Also,I don't want to use spark for the purpose.