Given a .zip file exported from Dialogflow, this code converts and uploads it into Google Sheets.
token.pickle needs to be inside ./df-to-csv is necessary to create, edit and make public Google Sheets.
Reference: https://developers.google.com/sheets/api/quickstart/python
Log in to you Google account with GCP CLI gcloud auth login.
You need a billing account to run Cloud Functions even though you are unlikely to break the free tier.
Cloud Functions provides a perpetual free tier for compute-time resources, which includes an allocation of both GB-seconds and GHz-seconds. In addition to the 2 million invocations, the free tier provides 400,000 GB-seconds, 200,000 GHz-seconds of compute time and 5GB of Internet egress traffic per month. Note that even for free tier usage, we require a valid billing account.
Inside the folders df-to_csv and csv-to-df respectively, run:
gcloud functions deploy df_to_csv --runtime python37 --trigger-http
gcloud functions deploy csv_to_df_forms --runtime python37 --trigger-http
gcloud functions deploy csv_to_df_params --runtime python37 --trigger-http
A working version should be available on https://dialogflow-csv-stable.glitch.me/
Demo video on its usage to be included soon.