ccflow-s3 0.1.1

ccflow models for S3

ccflow-s3

ccflow models for S3

Overview

ccflow-s3 provides public, domain-neutral S3 and S3-compatible storage callable models for ccflow workflows. It provides S3 session/client configuration, object reads/writes, existence checks, listing, manifests, atomic publish behavior, S3-backed cache/checkpoint adapters, and Hydra config groups exposed through the lerna plugin entry point.

It is storage-focused. Dataset schemas, domain-specific semantics, provider endpoint catalogs, and application storage conventions are not part of this package.

Current Status

• Implemented: S3Config, flexible S3Session, S3Client, S3 operation contexts/results, object reads, binary/text/json/CSV/gzip decoding through ccflow-etl PayloadCodec, pyarrow-backed parquet hooks, object existence checks through S3ExistsContext, metadata reads through S3HeadContext, prefix listing through S3ListContext, paged prefix walks through S3PrefixWalkContext, object copies through S3CopyContext, explicit deletes through S3DeleteContext, additive S3WriteDataContext writes for byte/string/dict/list payloads, codec-backed CSV/gzip/parquet write encoding, read-write orchestration through S3ReadWriteContext, temp-key copy finalization for atomic-style publishes, JSON manifest writes through S3ObjectManifest, S3 cache/checkpoint adapters, cache=s3 and checkpoint=s3 config groups, and local fake-S3 tests with botocore error semantics.
• Partial: write mode skips existing objects unless overwrite=True, atomic publishes leave the temporary object in place rather than deleting it by default, and parquet support depends on pyarrow through ccflow-etl.
• Missing: manifest readers, temporary-object cleanup policy, live provider examples, and broader moto/botocore-stub integration coverage.

[!NOTE] This library was generated using copier from the Base Python Project Template repository.