tarka-rdf
Python bindings for tarka: turn Polars data frames, Parquet
and CSV files into RDF with TARQL queries (SPARQL CONSTRUCT, as TARQL and oxi-gen run them)
or OTTR templates (stOTTR), and run bOTTR mapping files. The engine is Rust; mapping runs
release the GIL and use every core.
pip install tarka-rdf
import polars as pl
import tarka_rdf
m = tarka_rdf.Mapping.tarql_file("people.rq") # a TARQL query
m = tarka_rdf.Mapping.ottr(["templates/"], ["ex:Person"]) # or OTTR templates: files or directories, root templates
df = pl.read_parquet("people.parquet")
triples = m.triplify(df) # a DataFrame of N-Triples terms: subject, predicate, object
m.write(df, "people.ttl") # Turtle, or format="ntriples" / "nquads" (with graph=…)
m.run_csv("people.csv", "people.ttl") # CSV in oxi-gen's dialect
shapes = m.shapes() # SHACL shapes for what the mapping makes, as Turtle
tarka_rdf.expand(["templates/"], ["instances.stottr"], "people.ttl") # OTTR instances, as Lutra does
tarka_rdf.bottr(["templates/"], ["people.bottr.ttl"], "people.ttl") # bOTTR instance maps
Typed columns become typed literals for typed OTTR parameters (xsd:integer, xsd:date …),
and list columns feed OTTR list parameters. A row with a value its parameter cannot take
(n/a for an ottr:IRI) is left out, as bOTTR leaves out an instance: the rest is made, and a
ValueError lists the rows left out, unless strict=False. The package is called tarka-rdf
and imported as tarka_rdf, because tarka on PyPI is another project.
Licensed MIT OR Apache-2.0.
1 maintainer
Metadata
1 maintainer
Release files for tarka-rdf 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| tarka_rdf-0.2.0.tar.gz | 154.7 kB | With provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tarka_rdf-0.2.0-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| tarka_rdf-0.2.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| tarka_rdf-0.2.0-cp310-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl | CPython 3.10 | abi3 | macOS 10.12+ x86-64, macOS 10.12+ universal2 (ARM64, x86-64), macOS 11.0+ ARM64 | Details |
Total release size: 39.5 MB
Release files / tarka_rdf-0.2.0.tar.gz
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