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data-ops

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data operations related code

motivation

data-ops is a library with tested and used code aligning on some standards regarding code structure and quality and to avoid reinventing the wheel. It builds on top of dataops-abs.

installation

    `pip install tgedr-dataops`

package namespaces and its contents

commons

  • S3Connector: base class to be extended, providing a connection session with aws s3 resources
  • utils_fs: utility module with file system related functions (example)

quality

  • PandasValidation : GreatExpectationsValidation implementation to validate pandas dataframes with Great Expectations library (example)

sink

  • LocalFsFileSink: Sink implementation class used to save/persist an object/file to a local fs location (example)
  • S3FileSink: Sink implementation class used to save/persist a local object/file to an s3 bucket (example)

source

  • AbstractS3FileSource: abstract Source class used to retrieve objects/files from s3 bucket to local fs location circumventing some formats download limitation
  • LocalFsFileSource: Source implementation class used to retrieve local objects/files to another local fs location (example)
  • PdDfS3Source: Source implementation class used to read a pandas dataframe from s3, whether a csv or an excel (xslx) file (example csv, example excel)
  • S3FileCopy: Source implementation class used to copy objects/files from an s3 bucket to another s3 bucket (example)
  • S3FileExtendedSource: Source implementation class used to retrieve objects/files from s3 bucket to local fs location with the extra method get_metadata providing sile metadata ("LastModified", "ContentLength", "ETag", "VersionId", "ContentType")(example)
  • S3FileSource: Source implementation class used to retrieve objects/files from s3 bucket to local fs location (example)

store

  • DataFrameSplits : dataclass container for train, test, and optional validation pandas DataFrames, providing helpers to build, merge, and convert splits to/from Hugging Face datasets
  • FsSinglePartitionParquetStore : abstract Store implementation defining persistence on parquet files with an optional single partition, regardless of the location it should persist
  • HuggingFaceDatasetStore : Store implementation class for interacting with Hugging Face Hub datasets, supporting CRUD operations on datasets and their splits (example)
  • LocalFsSinglePartitionParquetStore : FsSinglePartitionParquetStore implementation using local file system (example)
  • S3FsSinglePartitionParquetStore : FsSinglePartitionParquetStore implementation using aws s3 file system (example)
  • ParquetStore : Store implementation class for interacting with Parquet files using a filesystem interface (example)

known issues/further development

development

  • main requirements:

    • uv
    • bash
  • Clone the repository like this:

    git clone git@github.com:tgedr/dataops
    
  • cd into the folder: cd dataops

  • install requirements: ./helper.sh reqs

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