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It has been a while since I drafted anything. So, all these times, I was busy learning new things, which includes Dynamics 365, Graph API, MS Teams, some of the Azure services and much more.  Basically, this entire tenure was full of ups and downs where some things went very smooth and some things took many hours to get sorted. But now, I am back with so much on my plate and of course my next few posts would be majorly on troubleshooting part and how-tos. May be, there would be similar solutions which you may find on the internet, but I would still love to add it on my own blogger with my own findings for my own future references. With all this, let us get started with our first troubleshooting tip. Background The requirement was about adding a new Task in Planner , which is part of Office 365 . Now for any adding Task , we have to traverse through Groups , then Bucket and then inside any defined Bucket we can create a Task .  In order to perform all ...

Recently I installed Anaconda to learn more about it and the first thing I was about to try was opening a web page automatically using Selenium. So, to perform this, I used Jupyter and tried to import Selenium webdriver. Till here, everything went well, but when I ran my code using Jupyter Notebook, I got an error: ‘ No module named ‘selenium ’. The strange thing is, I got an error, although I have got Selenium installed on my machine using pip with below command:  pip install selenium. Now what could be the reason? So, to analyze it further, I wrote the same Python code in Visual Studio and ran it. It worked perfectly alright. So, I just thought to give a try to check the version of Selenium and first I tried with pip as shown below: As the above message says, it is already installed and didn’t complain anything. So, next I thought to try with Anaconda command prompt as shown below:  Did you notice that...

I believe, there are many articles or blogs already available which speaks about how to convert an excel file to a comma separated file using C# and in all the cases (which I referred), excel is read from a hard drive of a local machine and csv file is saved back to the same hard drive. But in spite of knowing this, again, I’m going to draft another post. Wondering, why? Well, this post is going to be slightly different in the way files are being read and saved back. Below are the major offerings of this post:     What if we have many excel files to convert but disk is not having enough space to save all of those? Same is the case for conversion output too. What if we don’t have permission to save our converted files on to the local machine? How can we run this conversion utility using web jobs? In order to address the above challenges, we can utilize Azure capabilities wherein we will do everything on the fly without utilizing disk space as a storage for our f...

While working on web application, it’s quite natural that we need to jump between various environments (i.e. Development, Testing, Production, etc.) during various phases of product life cycle. In other words, all these environments may have different-different host addresses. Let’s have a look at a few of those. During the development phase, we usually run our application with http://localhost:8080/features/..., where our host is localhost:8080 During the testing phase, the same application can be run on http://www.consumerapps.com/features/..., where our host is www.consumerapps.com Now, what if we want to get the host name in log file for an audit purpose. We cannot go and hard code  it in the application, as it may change based on the environment on which application is running. In ASP.NET Core 3.1, it can be easily achieved using HttpContext . First change we have to do is, to register IHttpContextAccessor as a singleton: services.AddSingleton<IHttpC...