import csv

# Find all data of cleaned up set with barcodes
fieldnames = ["BARCODE_FULL", "CURRENT_NAME", "NOMEN_TYPE_NAME", "NOMEN_TYPE_KIND_FULL", "COLL_DT_DISP","COUNTRY_FULL"]
collection = []
with open("selection_data_export_barcode_cleaned.csv", 'r') as file:
	csv_reader = csv.DictReader(file)
	for each_row in csv_reader:
		barcode = each_row["BARCODE_FULL"]
		name_current= each_row["CURRENT_NAME"]
		name_type = each_row["NOMEN_TYPE_NAME"]
		type = each_row["NOMEN_TYPE_KIND_FULL"]
		date = each_row["COLL_DT_DISP"]
		country = each_row["COUNTRY_FULL"]
		specimen = [barcode, name_current, name_type, type, date, country]
		collection.append(specimen)
#print(collection)

# find all data of cleaned up set describers
describers = []
with open("describers_short_long.csv", 'r') as source:
	csv_reader = csv.DictReader(source)
	for each_row in csv_reader:
		short_name = each_row["3rd element"]
		full_name = each_row["Name_describer"]
		url_ipni = each_row["IPNI"]
		url_wikipedia = each_row["Wikipedia"]
		amount = each_row["Amount"]
		gender = each_row["Gender"]
		describer = [short_name, full_name, url_ipni, url_wikipedia, amount, gender]
		describers.append(describer)
#print(describers)

# link data about describers at each of the specimen of the collection, based of 3rd element of type name
belgian_colony_data_all = []
enhanced_specimen = []
for describer in describers:
	short = describer[0]
	#print ('short:', short)
	for specimen in collection:
		third_element = specimen[2].split(' ')[-1]
		if short == third_element:
			#print('short == specimen', short, specimen)
			enhanced_specimen = specimen + describer
			#print('short:', short, enhanced_specimen)
			belgian_colony_data_all.append(enhanced_specimen)


# generate new csv file with all linked data
with open("belgian_colony_data_all.csv", "w") as destination:
		writer = csv.writer(destination)
		for enhanced_specimen in belgian_colony_data_all:
			writer.writerow(enhanced_specimen)