Run the pipeline synchronously? about data

[owahltinez]

Some pipelines simply can't do processing synchronously (e.g. weather would take over a day to process) but you can now run the pipelines within a chain one at a time by passing the --process-count 1 option to the run.py script. Again, keep in mind that each pipeline might still be running multiple threads / processes.

--only and --exclude are used to run a single pipeline within the chain. If you run a single pipeline, then multiprocessing is disabled automatically. To use it, pass the name of the output tables separated by commas: run.py --only epidemiology,demographics or run.py --exclude weather

[OmarJay1]

Thanks. I'm assuming that run.py is now called update.py?

Also, I noticed that a previous version I'm using captures more epidemiology data than the most recent. I can say more once I understand more how the code works.

Thank you.

[owahltinez]

Thanks. I'm assuming that run.py is now called update.py?

Yes, sorry for the change -- the project is currently under active development but I don't expect that update.py will change again soon.

Also, I noticed that a previous version I'm using captures more epidemiology data than the most recent.

Can you please share a few data points (key + date) examples?

[owahltinez]

@OmarJay1 did you get a chance to collect a few examples of datapoints which are missing from the previous version?

[OmarJay1]

I didn't get a chance to look closely, but the overall size was back to what it was before. Thanks.