Check for missing data columns in validation

[KristinaRiemer]

In app/Meta.py currently, when tables are being added it is only checked to see if the columns present are in the list of accepted columns. For example, see lines 265-296 for the cultivars table. Some of these columns are required and so should return an error if they aren't there.

BETYdb-YABA/app/Meta.py

Lines 265 to 296 in 62702b8

	def insert_cultivars(fileName, status=True):
	"""
	This function responds to a request for /yaba/v1/cultivars
	with csv file
	:fileName: CSV file with cultivars meta data
	:return: 201 on success
	400 if file is unsuitable or does not contain appropriate columns
	409 Intregrity or Constraint error : 23503 foreign_key_violation | 23505 unique_violation
	500 Database Connection Error
	401 Unauthorized | No user exists
	410 Default error.See logs for more information
	"""
	try:
	data = pd.read_csv(fileName,delimiter = ',')
	specie_id=fetch_specie_id(data['species'][0])
	#Checking necessary columns are there.
	columns=data.columns.values.tolist()
	accepted_columns=['name','species','ecotype','notes']
	if(all(x in accepted_columns for x in columns)):
	if status == False:
	msg = {'Message' : 'Successfully Validated',
	'Table' : 'Cultivars'}
	return make_response(jsonify(msg), 200)

[eshantri]

I want to work on this issue. Can you assign this to me?

[im-prakher]

Sure!