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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.

Usage

from dsslab.wdc_client import *

# 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 or directly consult the Documentation.

Changelog

  • 0.14.0 Added possiblity to pass native dicts and lists to loadAsXXX-methods
  • 0.13.0 Add method WDCClient.loadAsDF(endpoint: str, **params) for brevity
  • 0.12.0 Fix minor bug for Rate-Limiting.
  • 0.11.0 Transparently handle Rate-Limiting from server.
  • 0.10.0 Moved to new package structure with the namespace dsslab.

Old changelog

  • 0.9.1 Make package obsolete.
  • 0.9.0 Add method WDCClient#put to create PUT-Requests
  • 0.8.2 Fix for duplicate parameters when paging.
  • 0.8.1 Simplify new methods for loading a DomainGraph.
  • 0.8.0 Added new methods for loading DomainGraphs.
  • 0.7.3 Fix README
  • 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

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