Being a version control tool with the structure of repository and branches, this will reflect in the path for obtaining files, rather than the direct access from a bucket of s3

Or perhaps I misunderstood your question, and you would like to know options for reading your data? Easiest if you are using Python is to use the high-level Python SDK. It is like Boto for lakeFS. Otherwise, you can use any of these: • For Spark, lakeFSFS • Use an OpenAPI generated API client for Java or Python • Use lakectl (best for manual usage, I would not recommend using it from a program) • Use the GUI • Access the REST API directly, without a generated client -- as you did. • The S3 gateway API lets you access objects on lakeFS using any S3 client If you would like more advice, could you provide more details on your programming environment?

I originally wanted to directly use the interface of s3 to obtain the files on lakefs, but I found that this did not work, so I had to provide the method of lakefs separately.