I have CSV files coming to a folder on a Cloud Storage bucket and I want to create a Cloud Function that opens the CSV, adds a new column to it and then save the results to a new bucket as new.csv file.
Is there a way to do that using python Cloud Function???
Thanks in advance.
The idea that you're trying to implement is totally possible and can be achieved using Google Cloud Functions .
For that, you would need to create astorage-triggered Cloud Function . More specifically, you can create your function in a way that it will respond to change notifications emerging from your Google Cloud Storage.
These notifications can be configured to respond to various events inside a bucket: object creation , deletion , archiving and metadata updates .
For the situation described, you will need to use the trigger google.storage.object.finalize
. This event is sent when a new object is created in the bucket or an existing object is overwritten , and a new generation of that object is created.
Here you can find a sample code of a storage-triggered Cloud Function written in Python, while this tutorial will give you a more detailed overview of the usage of storage-triggered functions.
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