Remove obsolete file

This script has been replaced by `json_to_md.py`, which converts JSON output from `reformat_json.py` directly to the Markdown format specified by Data Cards Labs.

formatting/format_as_md.py

@@ -1,78 +0,0 @@
-import argparse
-import json
-import pathlib
-import os
-
-parser = argparse.ArgumentParser(
-    description="Format the output of the data card tool as .md for the hub."
-)
-parser.add_argument("--input_path", "-i", type=pathlib.Path, required=True)
-parser.add_argument("--output_path", "-o", type=pathlib.Path, required=True)
-args = parser.parse_args()
-
-def read_json_file(json_path: pathlib.Path):
-    """Load a json file and return it as object."""
-    with open(json_path, "r") as f:
-        data = json.load(f)
-    return data
-
-def save_md_file(md_path: pathlib.Path, md_string: str):
-    """Takes a string and saves it as .md file."""
-    with open(md_path, 'w') as f:
-        f.write(md_string)
-
-def construct_md(data_card_data: dict, text_by_key: dict):
-    """Constructs the markdown file
-
-    This function iterates through text_by_key and extracts all answers from
-    the data_card_data object. It uses the levels of hierarchy as indicator for
-    the heading indentation and does not change the order in which anything
-    appears.
-
-    Args:
-        data_card_data: Output from the data card tool
-        text_by_key: configuration defined in key_to_question.json
-
-    Returns:
-        data_card_md_string: Markdown-formatted content
-    """
-
-    data_card_md_string = ""
-
-    for main_key, main_content in text_by_key.items():
-        section_header = main_content['section-title']
-        # Remove it so that we don't iterate over it.
-        del main_content['section-title']
-        # Add it to string.
-        data_card_md_string += f"## {section_header} \n\n"
-        # Iterate over the subsections.
-        for second_key, second_content in main_content.items():
-            subsection_header = second_content['section-title']
-            # Remove it so that we don't iterate over it.
-            del second_content['section-title']
-            # Add it to string.
-            data_card_md_string += f"### {subsection_header} \n\n"
-            # Finally, iterate over actual questions.
-            for question_key, question_text in second_content.items():
-                # Now grab the answer text.
-                reply = data_card_data[main_key][second_key].get(question_key, "N/A")
-                if reply and reply != "N/A":
-                    data_card_md_string += f"#### {question_text} \n\n"
-                    # Special parsing options here.
-                    if question_key == question_key == "paper-bibtext":
-                        data_card_md_string += f"```\n{reply}\n``` \n\n"
-                    elif question_key == "structure-example":
-                        data_card_md_string += f"```json\n{reply}\n``` \n\n"
-                    elif isinstance(reply, list):
-                        data_card_md_string += f"{' '.join(reply)} \n\n"
-                    else:
-                        data_card_md_string += f"{reply} \n\n"
-
-    return data_card_md_string
-
-
-if __name__ == "__main__":
-    data_card_data = read_json_file(args.input_path)
-    text_by_key = read_json_file(os.path.join(os.path.dirname(__file__), "key_to_question.json"))
-    data_card_md_string = construct_md(data_card_data, text_by_key)
-    save_md_file(args.output_path, data_card_md_string)