data-ops
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_metadataproviding 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 optionalvalidationpandas 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
- update data while changing its partition value (check unit test)
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
1 maintainer
Release files for tgedr-dataops 1.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| tgedr_dataops-1.3.0.tar.gz | 22.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tgedr_dataops-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.1 kB
Release files / tgedr_dataops-1.3.0.tar.gz
| Download URL | tgedr_dataops-1.3.0.tar.gz |
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| Size | 22.6 kB |
| Tags | Source |
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Release files / tgedr_dataops-1.3.0-py3-none-any.whl
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| Tags | Python 3 |
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