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timbuctoo-women-writers-conversion's Introduction

Women writers conversion

usage: harvest_all.py [-h] [-d DOWNLOAD] [-f FILES] [-t TEST]

-d True means: download the data from the current site and save it as files.

-f' actually does not ask for filenames, but for a suffix to be used. Example: harvest_all.py -d True -f todaywill save files with extension_today`.

For each file type a file will be filled:

  • ww_languages_today.json
  • ww_kewords_today.json
  • ww_locations_today.json
  • ww_collectives_today.json
  • ww_persons_today.json
  • ww_documents_today.json

If you omit de -d parameter the script will look for files with the -f extension. If -f is not given, it will use todays date, for exmple: _20191206 (yyyymmdd).

In the second part the script converts the json files to rdf-xml files. These files can than be uploaded to timbuctoo.

Downloading the files takes about 15 minutes; converting takes about 10 seconds.

Uploading of the first four files mentioned about is fast, they are small. Persons and documents take more time, several minutes.

read_metadata

With the read_metadata script the relations are extracted from the metadata.

You get the metadata from: http://myrepository.org/v2.1/system/vres/MyDataset/metadata; save as json.

The output of the script is also json.

timbuctoo-women-writers-conversion's People

Contributors

mkroese avatar

Watchers

Ronald Haentjens Dekker avatar James Cloos avatar Bram Buitendijk avatar  avatar Gertjan Filarski avatar Rutger van Koert avatar Martijn Maas avatar Bas Doppen avatar  avatar  avatar

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