save a separate "unprocessed" batch csv to blob_containers

[mkutu]

Let's create a new branch for this

you'll need to read the contents of semifield-uploads and compare the presence of batches in semifield-uploads versus the presences of batches in semifield-developed-images.

this will require a new temp text file to be created, and likely updates to ExportBlobMetrics, or however you see best.

This lets us identify:

1. unprocessed batches because they're missing data products (metadata, masks)
2. un-color calibrated batches (they exist in semifield-uploads but not in semifield-developed-images)
3. unprocessed batches because they're in semifield-uploads and in semifield-developed-images, but don't have the data products (metadata, masks)

This require a new SAS key for that container.

[hirunima]

Analyse semifield-uploads blob container and produce,

1. un-color calibrated batches (they exist in semifield-uploads but not in semifield-developed-images)

2. unprocessed batches because they're in semifield-uploads and in semifield-developed-images, but don't have the data products (metadata, masks)

[mkutu]

add column in uncolorized_batches.csv

• number of ARW images