eric.convert_eric_csv_to_json
=============================

.. py:module:: eric.convert_eric_csv_to_json

.. autoapi-nested-parse::

   Convert ERIC open records CSV to JSON.

   ERIC_open_records.csv must exist in the same directory as this script.
   ERIC_open_records.json must not exist before running this script.

   Edit ERIC_open_records.csv in a text editor and change the first line (column headers):
   id,pdf-url,title,description,e_fulltextauth,source,publicationdateyear,abstractor,
   peerreviewed,e_yearadded,iesfunded,e_datemodified,publisher,ieslinkpublication,url,
   sourceid,ieswwcreviewed,ieslinkwwcreviewguide,ieslinkdatasource,subject,author,
   authorxlink,educationlevel,publicationtype,iesgrantcontractnum,
   iesgrantcontractnumxlink,language,institution,identifiersgeo,sponsor,identifierstest,
   issn,iescited,identifierslaw,audience,isbn

   This removes instances of `_ - ` and duplicates of the form `x - x`.

   Convert the data in the CSV file to a JSON file.
   * uv run --script convert_eric_csv_to_json.py

   Format the JSON file with Python's built-in json.tool:
   * python3 -m json.tool ERIC_open_records.json ERIC_open_records.json

   Make a pydantic model from the JSON file:
   * uv tool run --from=datamodel-code-generator datamodel-codegen               --input ERIC_open_records.json --input-file-type json               --output eric_models.py



Attributes
----------

.. autoapisummary::

   eric.convert_eric_csv_to_json.here
   eric.convert_eric_csv_to_json.msg


Module Contents
---------------

.. py:data:: here

.. py:data:: msg
   :value: 'Will not overwrite existing file: Uninferable'