DRAX is a Python program for posting bulk DOIs metadata in XML format using DataCite REST API
If you provide XML files, it will convert them to JSON files and post with REST API
xml_post_parser.py is the program you will call to do the task
It will call two python classes:
-
class_xml_encode.py: encode XML files to JSON envelope -
class_json_post.py: post JSON envelopes to server port
Check the configuration file xml_post_parser_config.json and start configure your program:
Important fields
"server_port":
the location you want to post your files to
"bearer_auth_key":
your Bearer Auth key to access DataCite REST API
"prefix":
namespace of the DOIs you are using
"schema_url":
schema for the DOIs
Folder names
"xml_folder":
the directory for your input XML files
"json_folder":
the directory for your JSON envelopes to be stored at
"processed_xml_folder":
the directory for your processed XML files
"posted_json_folder":
the directory for your successfully posted JSON envelopes
"post_failed_folder":
the directory for your JSON envelopes that failed to post
Then from the config file, use the value of "xml_folder" as the name to create a folder in the same directory
Store your xml files to be posted to the folder
Last, run xml_post_parser.py
python xml_post_parser.pyXML files will begin to be encoded into JSON files and then posted to the server port
Successfully posted files will be stored at "posted_json_folder"
Failed files will be stored at "post_failed_folder"
tests/test_server.py:
construct a dummy server at http://localhost:5000
you can post data to http://localhost:5000 and view the posted data on http://localhost:5000/data
Remember to change "server_port" in the config file to http://localhost:5000/
This work was carried out under the ITC STEM Internship Scheme from the The Hong Kong University of Science and Technology in collaboration with GigaScience - BGI.