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A small client for the WDC-Rest-API.

Project description

Description

This project includes a very small client to access data form the WebDataCollector-API. It is meant to provide a simple means of accessing the data in Json or as Panda-DataFrames.

More information about is availaible on its project homepage.

Usage

from dss_wdc_client.client import WDCClient

# Somehow initialize environment variables for 
# "WDC_HOST" and "WDC_TOKEN". 
load_dotenv()

client = WDCClient.fromEnv()
df = client.loadAsDataFrame(
	'api/endpoint...', {'param1', 'value will be encoded'})

For more information about the client and usable endpoints, see the project homepage of WDC.

Changelog

  • 0.7.2 Include link for generated documentation
  • 0.7.1 Added generated documentation
  • 0.7.0 Added new method WDCClient.loadDomainGraph for loading a DomainGraph as NetworkX-Object
  • 0.6.0 WDCClient throws an WDCException if a request to the server fails
  • 0.5.0 New signatures and methods taking care of encodings and working on large results
  • 0.4.3 Add dependencies pandas["excel, plot"] as they are likely to be used.
  • 0.4.2 Enhance README with Changelog and code-example.
  • 0.4.1 Include a preferred variant for creating WDCClients from the Environment

Internal Notes for the Development Environment

Initialize

wdc-rest-api-python> poetry install --extras docs

Use cases

Create Documentation (Sphinx)

`poetry run make html` 	

Publish to PyPI

(https://python-poetry.org/docs/repositories/#publishable-repositories)

  1. Config token (once)

    poetry config pypi-token.pypi <my-token>

  2. Publish

    poetry publish --build

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