Weekly Check-In: Week 4
aghinsa
Published: 06/22/2020
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Hey,
What did I do this week
We decided to skip the NLU part of the chatbot as the tutorial is about configs and dataflow. The chatbot will take structured data and make predictions on it. As a prerequisite to implementing the chatbot, I added a way to support shared configurations. As of now, each operation would need to open separate connections; with shared configs, this can be avoided. I also finished the locking example.
What's coming up next
I'll be finishing the documentation for the locking example and also complete the chatbot tutorial.
Did I get stuck anywhere
Implementing the shared config lead to some confusion but was resolved in the weekly meeting.
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Weekly Check-in #3
aghinsa
Published: 06/15/2020
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What did I do this week?
I read on implementing a chatbot, regarding a tutorial and realized that it would be too long, and something better would be suitable for the tutorial. I also worked on a PR that combines collecting data, prediction, and adding it to a database to a single DataFlow.
What's next?
I'll be adding the locking example this week. I'll also be discussing with the mentors as to what would be a suitable tutorial to demonstrate the use of configs.
Did I get stuck somewhere?
I'm currently stuck at adding the predictions to the database without using additional operations.I'll be discussing this with my mentor in a day and hopefully find a quick fix.
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Week #2
aghinsa
Published: 06/08/2020
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What did you do this week?
DFFML can now make dataflows out of arbitrary python functions, this week I changed the current ffmpeg example to use these new changes. I also added flow attribute to the dataflow create CLI command so that the input flow can now be modified. Support to receive and verify secrets from GitHub webhook was added. I also updated theses changes in the documentation of ffmpeg example usage.
What is coming up next?
I'll be adding new dataflow tutorial's covering specific areas and use cases.
Did you get stuck anywhere?
There were certain places where I had to discuss with the community to make suitable changes, the weekly meetings helped a lot in this regard.
Thanks for reading!
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Weekly Check-in #01
aghinsa
Published: 06/01/2020
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Hey all!! I'm Aghin Shah, a 3rd Year CS undergrad from IIT-Madras. I'll be working with DFFML, a sub-org under Python Software Foundation during GSoC on Implementing Distributed Orchestrator and Adding DataFlow tutorials.
What did I do this week?
I worked on setting up a DataFlow for coImplementingntinuous deployment of Docker containers. With the new flow, you can push your changes to GitHub, and it'll automatically pull and redeploy the defined containers. I've also been working on adding additional features to the CLI command for creating the DataFlow. We had meetings in the community (on Tuesdays and Fridays). Everyone was updated with the changes in the codebase. I also had an individual meeting with the mentor, where we discussed the possible ways to go about the project.
What is coming up next?
I'll be finishing patches for a couple of issues which I've been working on. I'll also start working on adding basic tutorials for DataFlow.
Did you get stuck anywhere?
There were a few places where I was confused, but my mentor is very active, so most of it was cleared by the day.
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