NewsML converter (AFP news)
Project description
pyconverters_newsml
Convert AFP NewsML-G2 XML feeds into pymultirole Document objects.
Supports text articles, picture captions, video descriptions, and graphic items. Extracts IPTC media topics, AFP-specific subjects (persons, organisations, locations), keywords, urgency, genre, language, and other metadata.
Installation
pip install pyconverters_newsml
Usage
The converter is registered as a pyconverters.plugins entry point under the name newsml
and integrates automatically with the pymultirole plugin system.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
subjects_as_metadata |
str |
"" |
Comma-separated subject types to extract as metadata: medtop, afpperson, afporganization, afplocation, or all. |
subjects_code |
bool |
False |
When True, metadata values are "code:name" strings; when False, only the name is stored. |
mediatopics_as_categories |
bool |
False |
When True, IPTC media-topic codes are added as hierarchical Category objects. |
keywords_as_categories |
bool |
False |
When True, AFP slug keywords are added as Category objects. |
natures |
str |
"text" |
Comma-separated list of item natures to include: text, video, picture, graphic. |
Developing
Prerequisites
You will need uv and Python 3.12.
Clone the repository:
git clone https://github.com/oterrier/pyconverters_newsml
cd pyconverters_newsml
Install dependencies (including test extras):
uv sync --extra test
Running the test suite
uv run pytest
Linting
uv run ruff check .
uv run ruff format --check .
Building the documentation
uv run --extra docs sphinx-build docs docs/_build
The built documentation is available at docs/_build/index.html.
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