charly3pins VS gofeed

If you need to present any kind of data in a structured and formatted way you could find this article interesting. Go provides a way to do this in an easy and effective manner with two packages, text/template and html/template. The first one is focused on formatting texts in general and I am using it to generate my README page in GitHub. You can find the details in https://github.com/charly3pins/charly3pins. In this article, I am going to cover the second one, the templating for HTML pages. It's true that at the end I will generate a PDF from it but let's go step by step! I recommend you read the documentation page since I'm not going to cover the whys and whats about the package, only showing you how I organized the templates and how I generate my Resume using it.

You can check my GitHub profile and the repo that hosts my README. I've added my dynamic GitHub stats using this repo, there are a lot of more information that you can add in your profiles. Also I've used this site to make the badges displayed for the social networks and the technologies and tools.

Once I had the necessary information I now had to read the README.md file from the repository, write the changes and save it again.

Luckily I did not have to implement any of this myself apart from some glue code to fit it together: I used the library gocron for scheduling the regular intervals, gofeed for parsing the RSS feed and webmention for extracting links and sending webmentions.

The whole thing is written in Go on my end. Ingesting new headlines is handled in a goroutine that spawns within the process every 30 mins using a combo of the wonderful gofeed (https://github.com/mmcdole/gofeed) and colly (https://github.com/gocolly/colly) libraries.

When loading the front page, you're loading a 1-minute-cached HTML page of it that was constructed out of headlines already in my PostgreSQL database that were put there by the ingestion goroutine.

I like the idea of word clouds actually, I think you're on to something there. I think you just need to pre-generate them rather than doing it adhoc (if that's what you're doing here) for speed. Additionally, perhaps consider using sentiment in a way that orients stories based on positive and negative sentiment. Right now I am not seeing how I as a visitor/user can act on the sentiment analysis as it is presented now.

It would be neat to see a collection of uplifting stories grouped together through the sentiment analysis.

Anyway, food for thought. I hope you keep hacking away on it as it's just good fun to build things.

I needed to scan the blog feed and wanted to do it in Go, so the first thing I did was look for any libraries that would make it easier for me not to reinvent the wheel and I found the github.com/mmcdole/gofeed. It had a lot of features but I had enough with the basic use described in its README.