Import multiple sheets

copanier/imports.py

@@ -1,42 +1,51 @@
 import csv
+import functools
+
 from zipfile import BadZipFile
 
 from openpyxl import load_workbook, Workbook
 
-from .models import Product
+from .models import Product, Producer
 
 
 PRODUCT_FIELDS = {"ref", "name", "price"}
+PRODUCER_FIELDS = {"id", "name"}
 
 
-def products_from_xlsx(delivery, data):
-    if not isinstance(data, Workbook):
-        try:
-            data = load_workbook(data)
-        except BadZipFile:
-            raise ValueError("Impossible de lire le fichier")
-    rows = list(data.active.values)
-    if not rows:
+def append_list(field, item):
+    return field.append(item)
+
+
+def append_dict(field, item):
+    return field(item.id, item)
+
+
+def items_from_xlsx(data, items, model_class, required_fields, append_method):
+    if not data:
         raise ValueError
-    headers = rows[0]
-    if not set(headers) >= PRODUCT_FIELDS:
-        raise ValueError("Colonnes obligatoires: name, ref, price")
-    delivery.products = []
-    for row in rows[1:]:
+    headers = data[0]
+    if not set(headers) >= required_fields:
+        raise ValueError(f"Colonnes obligatoires: {', '.join(required_fields)}")
+    for row in data[1:]:
         raw = {k: v for k, v in dict(zip(headers, row)).items() if v}
         try:
-            delivery.products.append(Product(**raw))
+            append_method(items, model_class(**raw))
         except TypeError as e:
             raise ValueError(f"Erreur durant l'importation de {raw['ref']}")
-    delivery.persist()
+    return items
 
 
-def products_from_csv(delivery, data):
-    reader = csv.DictReader(data.splitlines(), delimiter=";")
-    if not set(reader.fieldnames) >= PRODUCT_FIELDS:
-        raise ValueError("Colonnes obligatoires: name, ref, price. "
-                         "Assurez-vous que le délimiteur soit bien «;»")
-    delivery.products = []
-    for row in reader:
-        delivery.products.append(Product(**row))
+def products_and_producers_from_xlsx(delivery, data):
+    if not isinstance(data, Workbook):
+    try:
+        data = load_workbook(data)
+    except BadZipFile:
+        raise ValueError("Impossible de lire le fichier")
+
+    sheet_names = data.get_sheet_names()
+    # First, get the products data from the first tab.
+    delivery.products = items_from_xlsx(list(data.active.values), [], Products, PRODUCT_FIELDS, append_list)
+
+    # Then import producers info
+    delivery.producers = items_from_xlsx(list(data.active.values), {}, Producer, PRODUCER_FIELDS, append_dict)
     delivery.persist()