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Showing posts with the label automation

My Latest project using Gen AI

So recently parkrun removed all their stats and as a keen running who is trying to work their way up the top 100 of their local parkrun I wanted to get some of these stats back and have a bit of "fun" at the same time. So here is a little "ETL" process that I developed with the help of Gen AI.  The steps of my ETL:  Copy and paste data into Google Sheets template where an AI produced formula extracts URLS from the text and puts them into a new field. This effectively allows me to extract the parkrun athlete id, the primary key, and use it in my analysis. I also have a column to autofill the data I am processing.  Use an Gen AI generated Google Apps script to process it into a processed sheet, this allows me to build up a backlog of events (I had over 500 to process).  This is then queried using a Gen AI Google sheets query to extract key information and columns / format times etc. I then ingest the fully processed sheet into Keboola directly from Google Sheets. ...

Producing a Blog Logo using AI

So the first thing I wanted to do on changing this blog was to get a new logo. Images can be fun with AI, they aren't very good at people or text. So the story behind the logo is that I left it to AI. I tried to stick with free or free to try sites to generate these. Using:  https://www.craiyon.com/ https://wepik.com/ai https://picsart.com/ You'll notice that from the selection below the text was always close but garbage. Still I am more hopeful, based off my past experience, that writing code and other data type projects with Gen AI will prove more useful. Must admit I am tempted to use one of these as the logo, even if the wording is wrong etc. 

streamlit

Over the last few days I have been playing with Streamlit. This is a really useful library that effectively lets you build an interactive dashboard using python. In theory, and somewhat in practice, I can now / have handled extracting data from APIs and DBs, transformed the data using pandas, loaded it into my final database and built a dashboard all using python. From what I have read it can be setup as a form, if I could make it private it might allow me to have direct data entry into my source database as well, else I can still use Google Sheets but might implement it for fun.  The dashboard below is embedded so it should be updated as I progress with my code. The code below however is from a one of gist, you don't seem to be able to embed from the github repo, but you can find the latest version of the code here . Apparently the embedding of the code failed so just check out the dashboard for now and I will try and get that working.

Python Pipeline API to MySQL to Snowflake

I decided that I liked doing some of my coding in python, even if I have to manually kick it off at the moment I might go with the safe option of a $5 a month python anywhere package to run on a schedule in the cloud or I could put in as an AWS lambda function or in Azure but I don't want to accidentally rack up a bill so might wait until I am further into training on them.  So in this code I have: Used dotenv to store all parameters and passwords as environment variables so I can post my scrips without modification and store them in git. (with the env file set to gitignore).  Retrieved the values above and called the weather API. Flattened the json to get all the columns. Put the new rows into the table in MySQL.  Retrieved the table from MySQL and done a drop and replace into Snowflake.  My Code:  The table: 

Zapier

As much as I have enjoyed using Keboola there are some connections that it doesn't have or that just haven't worked for one reason or another. I actually came across Zapier as a solution for bringing in e-mails from parkrun to load my results every week. Honestly I have not found it to be as robust as Keboola but that might just be me archiving my e-mails before it completes it 15 minute poll.  The second use case I am working on is the pulling in Strava data, for a fitness dashboard the fact it has a built in connector for Strava is great, though I am worried given the activities I do that I might reach the limit.  I won't go into details on how to set things up but you can setup 5 Zaps that can run for a combined 100 runs during a month for free.  In my data platform / solution I am using Zaps to load harder to get / automate data. It doesn't add much from a technical point of view as it is just signing into a few account to get the data into Google Sheets for downstr...