Stripe Revenue Analysis to Google Sheets

This script runs a series of PetalData Stripe revenue reports, updating a specified Google Sheet with the output.

Configuration

The following environment variables are required:

# Read only access to invoices
STRIPE_API_KEY=""

# Requires S3 read/write access
AWS_ACCESS_KEY_ID=""
AWS_SECRET_ACCESS_KEY=""
AWS_BUCKET=""

# The contents of the service account creds file provided by Google in JSON format
GOOGLE_SERVICE_ACCOUNT_INFO = {}

# Name of the Google Sheet the script will update.
# The user associated wit the Google auth creds must have read/write access to this sheet.
GOOGLE_SHEET=""

Optional:

SENTRY_DSN=""
SENTRY_ENVIRONMENT=""

Development

pipenv install --dev

To examine output after running the script:

python -i stripe_mrr_google_sheets.py

Setting the env. var DEV=true will:

• Prevent fetching invoice updates (takes time)
• Load the petaldata package from disk. I haven't had much luck w/Pipfile [dev-packages].

Deployment

The app can be deployed to Heroku. Follow these steps:

• Create a Heroku app. Use GitHub for the deployment method and wire up this repo.
• Provide values for the environment variables as Heroku config vars.
• Install the Heroku Scheduler addon via heroku addons:create scheduler:standard.
• Open scheduler via heroku addons:open scheduler.
• Add a job to run every hour. Enter python stripe_mrr_google_sheets.py for the job.

Debugging

You can run the script via the Heroku CLI:

heroku run "python stripe_mrr_google_sheets.py"

You can also enter interactive mode after running the script via the -i flag:

heroku run "python -i stripe_mrr_google_sheets.py"

CTRL+C to exit.