In order to run the import just run python extract_data_import.py

Script for extracting data from Amplitude and uploading it to Google BigQuery. Make usage of Amplitude export API.

To install all required packages pip install -r requirements.txt

• Python 3.6+
• JSON key for using BigQuery as a service account (should be placed inside config folder)
• Amplitude keys for the projects you want to extract
• dataset in BigQuery (needs to be created beforehand) where you want to store the tables
• Ensure to create the below configuration files inside the config folder

Two configuration files are required:

globals.py, this should contain: ENVIRONMENT = 'environment_name'

environment_name.py (this file name should be the same one is assigned in ENVIRONMENT variable in globals.py) which inside should contain the following keys:

• GCLOUD_JSON_KEY (Path to Gcloud json key)
• GCLOUD_PROJECT_ID
• AMPLITUDE_KEYS
• DATASET_AMPLITUDE (Dataset where to store Amplitude data)
• START_DATE_EXTRACT (First date to extract data from, with a format %Y-%m-%d)
• END_DATE_EXTRACT (Last date to extract data from, with a format %Y-%m-%d)

Inside AMPLITUDE_KEYS you need to define a dictionary, with the key being the name of each platform (will be used to naming tables in BigQuery) and then PROP_KEY and PROP_VALUE, for example:

AMPLITUDE_KEYS = {'ANDROID': {'PROP_VALUE' : 'value',
                            'PROP_KEY' : 'key'}}

An example of globals and config file is provided in config folder, when creating your own remember to remove _template from globals file name.

In order to run the import just run python extract_data_import.py