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

The Storage Service handles metadata ingestion in OSDU.

Docs: https://osdu.pages.opengroup.org/platform/system/storage

The CRS Conversion Service provides spatial reference conversions for coordinates. Coordinates are represented by an array of 3D points.

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

Docs: https://osdu.pages.opengroup.org/platform/system/schema-service

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.

Docs: https://osdu.pages.opengroup.org/platform/data-flow/ingestion/ingestion-workflow

This is the repository for automated QA tests done on the OSDU Data Platform for each milestone release with real-world datasets (TNO, Volve, etc.)

Airflow DAG for transformation from SEGY to OpenVDS

The Time-series Service provides functionality for fetching stored time-series by entity, property, source and date-time span. The time-series are handled in a bi-temporal approach, where the version time is the time where the fact has been stored and the physical time where the transaction has happened.

Library for integration with OSDU Core services

This CSV Parser DAG supports the ingestion workflow for CSV type files

The Time-series Storage Core (or internal) Service is a final step in time-series ingestion pipeline. Processes published ingestion messages and stores data to the Time-series Storage.

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

The project contains all Airflow dependencies need to OSDU.

Docs: https://osdu.pages.opengroup.org/platform/data-flow/ingestion/osdu-airflow-lib

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

Terraform module for deploying and managing OSDU services on Google Cloud Platform using Helm charts. Provides automated deployment and configuration of microservices in GKE (Google Kubernetes Engine) clusters.

Community engagement metrics for OSDU GitLab projects. Track contributions, reviews, and collaboration patterns.

GitLab activity monitoring for OSDU projects. Built for human insights while providing AI consumable data.