This solution has been deprecated and is no longer supported or maintained

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Hotel Ads ETL Tool

This repository contains a tool that provides methods to extract information from the Hotel Ads API Reports, transform it using Dataflow/Apache Beam and insert it into BigQuery tables in Google Cloud Platform.

The tool is composed of the following parts:

• A python package that contains methods to extract data from the Hotel Ads API to a file, and Apache Beam custom functions to be used by the pipeline.

• A dataflow job template in charge of transforming the data in the file and inserting it into BigQuery.

• A python App Engine script that executes the extraction of the data, saves it in cloud storage, and invokes the dataflow template.

Alternatives: If needed, the python App Engine script can be modified to run locally on a server or another orchestration system, as it doesn't depend on App Engine to run. Also, the apache beam job can be run (after modifying the script accordingly) in any managed or unmanaged Apache Beam instance.

This is not an officially supported Google product.

Prerequisites

1. Access to the Hotel Ads API. Follow the steps of section "Setting up OAuth 2.0" in the API Authentication page to get an authorized key.

   Note: in Step 3, select JSON for the Key Type, as this tool uses that format to authenticate.

2. A Google Cloud Platform project, to hold the scripts and the data.

3. Enable the Cloud Storage, BigQuery and Dataflow APIs.

Configuration Steps

The configuration steps will be using the google cloud console, but it can also be run into a local server/workstation with the google cloud sdk installed.

1. Login to GCP using gcloud

gcloud auth login

2. Clone the repository into the local filesystem

git clone http://giturl.com/...

3. Copy the JSON keyfile into the gae/ directory.

4. Copy the file scripts/config.sh.sample to scripts/config.sh, and modify the latter with the appropriated values:

  project=''
  account_ids=''
  partner_names=''
  zone=''
  app_engine_region=''
  storage_region=''
  storage_class='Regional'
  bucket='hotel-ads-data-transfer'
  cs_filename='hotel-ads-data-transfer-file'
  dataset='hotel_ads_dataset'
  key_file='keyfile.json'
  template='HotelAdsDataTransfer'

The fields account_ids and partner_names are "|" separated lists, and must have the same number of elements each.

5. Copy the contents of the file scripts/config.sh to the indicated section in file gae/main.py

  # TODO: PASTE HERE THE CONTENTS OF THE scripts/config.sh FILE


  # END OF PASTE SECTION

6. Execute the provisioning script autoprovision.sh

   Note: If you prefer to control all the tasks performed by the script, you can execute the commands inside the script manually.