load_file_to_ckan

Upload a file to the CKAN datastore with your private user key, which can be found on the user profile page.

Use an ENV variable to store your api key:

export CKAN_API_KEY=********-****-****-****-************

Example command line:

load_file_to_ckan https://api.data.amsterdam.nl/catalogus afvalcontainers /data/afvalcontainers.geojson

usage: load_file_to_ckan [-h] url dataset_name file_path

Positional Arguments

url	url of the catalog: https://api.data.amsterdam.nl/catalogus
dataset_name	name of the dataset, which can be found on the ckan page url: https://api.data.amsterdam.nl/catalogus/dataset/afvalcontainers
file_path	location of the file including filename: /path/to/file/to/upload.csv

functions

datapunt_processing.load.load_file_to_ckan.parser()

Parser function to run arguments from commandline and to add description to sphinx docs. To see possible styling options: https://pythonhosted.org/an_example_pypi_project/sphinx.html

datapunt_processing.load.load_file_to_ckan.upload_file_to_ckan(url, dataset_name, file_path)

Upload a file to the CKAN datastore.

Args:

1. url: url of the catalog:

   https://api.data.amsterdam.nl/catalogus
   

2. dataset_name: name of the dataset, which can be found on the ckan page url:

   https://api.data.amsterdam.nl/catalogus/dataset/afvalcontainers
   

3. api_key: your private user key, which can be found on the user profile page.

4. file_path: location of the file including filename:

   /path/to/file/to/upload.csv
   

Returns:

An uploaded file to the CKAN datastore.