GraphQL Tutorial - How to Interact w/ Harness API using Python

Gabriel Cerioni discusses leveraging Python and the GQL module to enhance programmatic interaction with Harness GraphQL, highlighting its utility in generating reports and managing data retrieval tasks efficiently. The article provides a detailed exploration of creating CSV reports for deployed instances by service and environment and addressing the challenges of paginated data retrieval for user accounts. Cerioni emphasizes the advantages of using Python over shell scripts due to its simplicity and readability when handling JSON collections, and introduces the GQL module to facilitate HTTP interactions with GraphQL. The article includes code snippets for setting up a GraphQL client, executing queries and mutations, and processing data into CSV files, illustrating two real-world use cases: generating CSV reports for service instances and retrieving comprehensive user lists from GraphQL paginated data. Cerioni encourages readers to explore these use cases further and reach out for assistance if needed.