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The Indexer Service indexes the metadata store to support the Search Service.

Google Cloud Infrastructure provisioning scripts and templates.

Airflow DAGs that consume Source Registry configuration to handle the fetch and ingest orchestration.

The project contains all Airflow dependencies need to OSDU.

The File Service provides internal and external APIs to request for file location data, such as a signed URL per file upload. Using the signed URL, OSDU users will be able to upload their files for ingestion into the system.

The Search Service supports full-text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search.

Repository for the Rock & Fluid Sample DDMS services for OSDU.

Legal service is to help ensure data compliance with legal data governance when dealing with data in the Data Ecosystem by managing legal tags

Typescript client for open-etp-server, including REST API

The Partition Service dynamically pulls the correct connection information at runtime to connect to the correct partition.

Policy service is used for management and evaluation of dynamic policies in OSDU.

The Register Service manages subscriptions, action and DDMS registrations in the OSDU.

The Schema Service enables schema management in the OSDU and offers an implementation of the schema standard.

Secret Service facilitates the storage and retrieval of various types of secrets in a specified repository(ies) so that secrets can be secured, separated from the secrets in the infrastructure repository, and managed easily by interfacing applications.

Wellbore Domain Data Management Services including type-safe entity access and optimized accessors for bulk data such as logs, trajectories, checkshots.

Open Subsurface Data Universe (OSDU) Wellbore-DDMS Worker is a python back-end service used internally by the OSDU Wellbore DDMS. It provides an internal API for accessing Wellbore bulk data.

Domain Data Management Service focused on Well Planning and Well Execution

The Ingestion Workflow service provides a wrapper functionality around the Apache Airflow functions and is designed to carry out preliminary work with files before running the Airflow Directed Acyclic Graphs (DAGs) that will perform actual ingestion of OSDU data.