Notes

import os

from flask import jsonify, request, send_from_directory

from src.metadata_crawler.metadata_extractor_2 import CreateDataframe


def start_crawler(queried_result, search_text, logger):
filedata = request.get_json()
crawler_object = CreateDataframe()
if queried_result:
for result in queried_result['data']:
try:
# TODO: Optimize below code to read h5
if "VersionSpecificFiles" in result:
test_results = result["VersionSpecificFiles"]
info_list = []
for file_list in test_results:
if file_list.endswith(".h5"):
file_info = {"filePath": file_list, "fileType": "h5",
"fileName": file_list.split("\")[-1]}
info_list.append(file_info)
measurement_file_path_h5 = info_list[0]
if measurement_file_path_h5 is not None:
crawler_object.create_dataframe(measurement_file_path_h5['filePath'], filedata)
else:
measurement_file_path_mat = next(
(sub for sub in result["VersionSpecificFiles"] if sub['sourceFileType'] == ".mat"),
None)
if measurement_file_path_mat is not None:
crawler_object.create_dataframe(measurement_file_path_mat['sourceFilePath'], filedata,
search_text)
else:
logger.info("Log information written to file.")
else:
logger.info("Log information written to file.")
except Exception as errorData:
logger.info("Log information written to file.")
crawler_object.metadata_crawler_export_to_csv(f'{os.getcwd()}\Created_hashtags.csv')
return send_from_directory(f'{os.getcwd()}', 'Created_hashtags.csv', as_attachment=True, mimetype='text/csv')


def open_file_explorer():
try:
data = request.get_json()
cell_value = data.get("file_path")
cell_value = os.path.normpath(cell_value)

directory, filename = os.path.split(cell_value)
file_path = directory

if file_path and os.path.exists(file_path):
try:
return jsonify({"success": True, "message": "File explorer opened successfully"})
except Exception as e:
return jsonify({"success": False, "error": str(e)}), 500
else:
return jsonify({"success": False, "error": "Invalid file path"}), 400
except Exception as e:
return jsonify({"success": False, "error": str(e)}), 500