# Country,Competent Authority,Approval Number,Trading name,Address 1,Address 2,Adress 3,Town/Region,Postcode,Section 0,Section I,Section II,Section III,Section IV,Section V,Section VI,Section VII,Section VIII,Section IX,Section X,Section XI,Section XII,Section XIII,Section XIV,Section XV,Section XVI,Species,Remarks,Address withheld,uprn,lat,lng,match_score,match_description
fields = ["food-premises", "premises", "name", "business", "start-date", "end-date"]
writer = Writer(sys.stdout, fields)
reader = csv.DictReader(sys.stdin)
for num, row in enumerate(reader):
uprn = row["uprn"]
name = row["Trading name"]
if uprn and row["Address withheld"] != "Y":
item = Item()
item.__dict__["food-premises"] = uprn
if uprn in uprns:
item.premises = uprns[uprn]
if name in companies:
if companies[name]:
item.business = "company:" + companies[name]
item.__dict__["end-date"] = ""
item.name = row["Trading name"]
writer.write(item)
writer.close()
