Skip to main content

Replicate iterable data in databricks

Project description

iterable_etl

Replicate data from iterable in databricks

pypi

Usage

CLI

python -m iterable_etl --table <table-name>

where is one of the following: campaign_history, campaign_metrics, campaign_list_history, list, or ALL.

API

from iterable_etl.tables.campaign_history import campaign_history_df
from iterable_etl.tables.campaign_metrics import campaign_metrics_df
from iterable_etl.tables.list import list_df
from iterable_etl.tables.campaign_list_history import campaign_list_history_df

campaign_history_df()
campaign_metrics_df()
list_df()
campaign_list_history_df()

Further configs are set via environment variables:

  • ITERABLE_KEY: API access
  • APP_ENV: <development/production> - debug mode
  • SAMPLE_OUTPUT: <True/False> - Save dataframes to csv

DEV

Create venv

python -m venv env

Activate venv

  • unix
source env/bin/activate
  • windows
env\Scripts\activate.bat

Install Packages

pip install -r requirements.txt

Test

make test

Format

make format
make lint

Version & Release

bump2version <major/minor/patch>
make release

note Don't forget to git push with --tags

pre-commit

Setup

pre-commit install

Run all

make pre-commit

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iterable_etl-0.1.3.tar.gz (7.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page