kevinschaper/koza

Data ingest framework for the Biolink model

Koza

Data transformation framework

Disclaimer: Koza is in pre-alpha

Transform csv, json, and jsonl and converting them to a target csv, json, or jsonl format based on your dataclass model. Koza also can output data in the KGX format

Highlights

• Author data transforms in semi-declarative Python
• Configure source files, expected columns/json properties and path filters, field filters, and metadata in yaml
• Create or import mapping files to be used in ingests (eg id mapping, type mappings)
• Create and use translation tables to map between source and target vocabularies

Installation

pip install koza

Getting Started

Send a local or remove csv file through Koza to get some basic information (headers, number of rows)

koza validate \
  --file https://raw.githubusercontent.com/monarch-initiative/koza/dev/tests/resources/source-files/string.tsv \
  --delimiter ' '

Sending a json or jsonl formatted file will confirm if the file is valid json or jsonl

koza validate \
  --file ./examples/data/ZFIN_PHENOTYPE_0.jsonl.gz \
  --format jsonl

koza validate \
  --file ./examples/data/ddpheno.json.gz \
  --format json \
  --compression gzip

Example: transforming StringDB

koza transform --source examples/string/metadata.yaml 

koza transform --source examples/string-declarative/metadata.yaml