def delete_files(request):
""" Deletes multiple uploaded files. """
logger, user, upload_folder, process_folder = get_user_and_folders_plus_logger(request)
logger.info("Deleting files for user: %s" % user)
data = {}
data['results'] = []
data['success'] = False
del_dict = QueryDict(request.body)
target_fnames = del_dict.getlist('delete_file[]');
file_type = 'upload'
file_folder = os.path.join(settings.FILE_FOLDER_MAP.get(file_type), user)
# Prevent files from being renamed/deleted if the workflow is running
is_workflow_running = process_data.check_workflow_running(user, process_folder)
if not is_workflow_running:
for target_fname in target_fnames:
logger.info("Deleting file %s" % target_fname)
target_file = os.path.join(file_folder, target_fname)
data['results'].append(process_data.delete_file(target_file, target_fname, file_folder, logger))
data['success'] = all([file['success'] for file in data['results']]) if data['results'] else False
else:
data['success'] = False
data['target_files'] = target_fnames;
data['error_msg'] = "Files cannot be deleted when a workflow is running."
return JsonResponse(data)
def rename_file(request, file_name):
""" Handle a request to rename any uploaded file that is not being processed or is an archived file. """
logger, user, upload_folder, process_folder = get_user_and_folders_plus_logger(request)
logger.info("Renaming file for user: %s", user)
data = {}
# Files we are renaming should be lists with the first item being the file name
# and the second item being the new filename to rename too and the third item being the
# category of file (uploaded, archived, md5sum, viz, data_product)
put_dict = QueryDict(request.body)
rename_fname = put_dict.get('rename_file');
file_type = put_dict.get('type');
logger.info('Variables passed in: %s %s %s' % (file_name, rename_fname, file_type))
file_folder = os.path.join(settings.FILE_FOLDER_MAP.get(file_type), user)
file = os.path.join(file_folder, file_name)
renamed_file = os.path.join(file_folder, rename_fname)
is_workflow_running = process_data.check_workflow_running(user, process_folder)
if not is_workflow_running:
data = process_data.rename_file(file, file_name, renamed_file, logger)
else:
data['success'] = False
data['error_msg'] = "Files cannot be renamed when a workflow is running."
data['renamed_file'] = rename_fname
data['original_file'] = file_name
return JsonResponse(data)
def delete_file(request, file_name):
""" Deletes a single uploaded file. """
logger, user, upload_folder, process_folder = get_user_and_folders_plus_logger(request)
logger.info("Deleting file %s for user: %s" % (file_name, user))
data = {}
file_type = 'upload'
file_folder = os.path.join(settings.FILE_FOLDER_MAP.get(file_type), user)
target_file = os.path.join(file_folder, file_name)
# Check if we have any workflows running. If so we want to prevent rename or delete operations
# here since they will interfere with the workflows running
is_workflow_running = process_data.check_workflow_running(user, process_folder)
if not is_workflow_running:
data = process_data.delete_file(target_file, file_name, file_folder, logger)
else:
data['success'] = False
data['error_msg'] = "Files cannot be deleted when a workflow is running."
return JsonResponse(data)
def process_files(request):
# get the user, folders, and logger
logger, user, user_full_name, user_email, upload_folder, process_folder = get_user_and_folders_plus_logger(request, full_user_info=True)
metadata_folder = os.path.join(upload_folder, process_data.METADATA_FOLDER)
files_nonempty = process_data.get_recursive_files_nonempty(upload_folder,include_path=False,recursive=False)
# Var to keep track of our workflow status. Needed so we can clear our some cookies
# on workflow success.
success = False
# set the default responses
responses={"message1":[],"message2":[]}
responses["raw_input"]="The following raw files have been uploaded and are ready to verify:\n"
responses["raw_input"]+="\n".join(files_nonempty)+"\n"
if request.method == 'POST' and not "refresh" in request.POST:
logger.info("Post from process page received")
metadata_file = os.path.join(metadata_folder,settings.METADATA_FILE_NAME)
study_file = os.path.join(metadata_folder,settings.METADATA_GROUP_FILE_NAME)
logger.info("Metadata file: %s", metadata_file)
process_folder = os.path.join(settings.PROCESS_FOLDER,user)
logger.info("Process folder: %s", process_folder)
if "verify" in request.POST:
# check the metadata matches the raw uploads
responses["message1"] = process_data.check_metadata_files_complete(user,upload_folder,metadata_file,study_file)
elif "process" in request.POST:
responses["message2"] = process_data.check_md5sum_and_process_data(user,user_full_name,user_email,upload_folder,process_folder,metadata_file,study_file)
# log messages
for message_name, message in responses.items():
if message and not message_name == "raw_input":
logger.info("Error code: %s", message[0])
logger.info("Message: %s", message[1])
# check if the workflow is running
responses["workflow_running"] = process_data.check_workflow_running(user, process_folder)
# get the stdout for the processing workflows
responses["md5sum_stdout"]=read_stdout_stderr(os.path.join(process_folder,process_data.WORKFLOW_MD5SUM_FOLDER))
responses["data_products_stdout"]=read_stdout_stderr(os.path.join(process_folder,process_data.WORKFLOW_DATA_PRODUCTS_FOLDER))
responses["visualizations_stdout"]=read_stdout_stderr(os.path.join(process_folder,process_data.WORFLOW_VISUALIZATIONS_FOLDER))
# if the workflow just started, wait for a refresh before updating status
if not responses["message2"]:
if not responses["workflow_running"]:
if list(filter(lambda x: "fail" in x.lower() or "error" in x.lower(), [responses["md5sum_stdout"],responses["data_products_stdout"],responses["visualizations_stdout"]])):
# one of the workflows had a task that failed
responses["message2"]=(1, "ERROR: The workflows have finished running. One of the tasks failed.")
elif len(list(filter(lambda x: "Finished" in x, [responses["md5sum_stdout"],responses["data_products_stdout"],responses["visualizations_stdout"]]))) == 3:
responses["message2"]=(0, "Success! All three workflows (md5sum check, data processing, and visualization) finished without error.")
success = True
elif ( responses["md5sum_stdout"] and not ( responses["data_products_stdout"] or responses["visualizations_stdout"] ) or
responses["md5sum_stdout"] and responses["data_products_stdout"] and not responses["visualizations_stdout"] ):
# add the case where we are in between workflows running
responses["message2"]=(0, "The processing workflows (md5sum check, data processing, and visualization) are still running.")
elif responses["md5sum_stdout"] or responses["data_products_stdout"] or responses["visualizations_stdout"]:
responses["message2"]=(0, "The processing workflows (md5sum check, data processing, and visualization) are still running.")
# determine which buttons should be active
responses["verify_button"] = 1
if ( responses["message1"] and responses["message1"][0] == 0 ) or ( responses["message2"] and responses["message2"][0] in [0,1] ):
responses["verify_button"] = 0
if responses["verify_button"] == 1:
responses["process_button"] = 0
responses["refresh_button"] = 0
elif ( responses["message1"] and responses["message1"][0] == 0 ) or ( responses["message2"] and responses["message2"][0] == 1 ):
responses["process_button"] = 1
responses["refresh_button"] = 0
else:
responses["process_button"] = 0
responses["refresh_button"] = 1
response = render(request, 'process.html', responses)
if success and request.COOKIES.get('sample_metadata', False):
response.set_cookie('study_metadata', max_age=1)
response.set_cookie('sample_metadata', max_age=1)
return response
