
Product
Redesigned Repositories Page: A Faster Way to Prioritize Security Risk
Our redesigned Repositories page adds alert severity, filtering, and tabs for faster triage and clearer insights across all your projects.
batch-ingestion-client-py
Advanced tools
This is a Python client library for the BatchIngestion MediaWiki extension, which provides an API to ingest many entities at once. This library allows you to easily ingest entities in bulk, either by parsing them from JSON or by creating them using Python objects.
You can install this library using pip:
pip install batch-ingestion-client-py==1.0.4
from batch_ingestion_client_py import (
BatchIngestor,
Entity,
ValueInLanguage,
)
ingestor = BatchIngestor(
base_url="https://your-wiki.com",
username="your-username",
password="your-password",
)
example1 = ingestor.ingest([
Entity.parse({
"type": "item",
"labels": {
"en": {
"language": "en",
"value": "Hello, world!",
},
},
})
])
print(example1)
example2 = ingestor.ingest([
Entity(
type="item",
labels={
"en": ValueInLanguage(
language="en",
value="Hello, world!",
),
},
),
])
print(example2)
If you'd like to contribute to this library, please feel free to submit a pull request.
FAQs
A client for the BatchIngestion mediawiki API
We found that batch-ingestion-client-py demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Our redesigned Repositories page adds alert severity, filtering, and tabs for faster triage and clearer insights across all your projects.
Security News
Slopsquatting is a new supply chain threat where AI-assisted code generators recommend hallucinated packages that attackers register and weaponize.
Security News
Multiple deserialization flaws in PyTorch Lightning could allow remote code execution when loading untrusted model files, affecting versions up to 2.4.0.