def cais(request, response, content):
if request.method == "GET": #查询
if request.GET:
food_id = request.GET["food_id"]
f = Food.objects.filter(food_id=food_id).first()
info = {"name": f.name, "price": str(f.price)}
content["info"] = info
else:
foods = Food.objects.filter(
is_delete=0, create_time__day=datetime.today().strftime("%d"))
# foods = Food.objects.filter(is_delete=0,create_time__day="28")
print ">>>foods: ", foods
info = [{
"name": f.name,
"price": str(f.price),
"time": f.create_time.strftime("%Y-%m-%d %H:%M:%S")
} for f in foods]
content["info"] = info
elif request.method == "POST": #添加
group_id = request.POST["group_id"]
store_id = request.POST["store_id"]
name = request.POST["name"]
desc = request.POST["desc"]
food_img = request.POST["food_img"]
price = request.POST["price"]
sequence = int(request.POST.get("sequence", 1))
is_delete = int(request.POST.get("is_delete", 0))
food = Food()
food.food_id = rand_str(8)
food.group_id = group_id
food.store_id = store_id
food.name = name
food.desc = desc
food.food_img = food_img
food.price = change_money(price)
food.sequence = sequence
food.is_delete = is_delete
food.save()
content["info"] = {"msg": "成功"}
elif request.method == "PUT": #修改
put = QueryDict(request.body)
food_id = put["food_id"]
name = put["name"]
food = Food.objects.filter(food_id=food_id, is_delete=0).first()
food.name = name
food.save()
info = {"msg": "更新名字成功", "name": name}
content["info"] = info
elif request.method == "DELETE": #删除
delete = QueryDict(request.body)
food_id = delete["food_id"]
food = Food.objects.filter(food_id=food_id, is_delete=0).first()
food.is_delete = 1
food.save()
info = {"msg": "菜删除成功"}
content["info"] = info
def handle(self, *args, **kwargs):
diretory = os.path.join(os.path.dirname(__file__),
'../../../feedeasyform_project/assets/')
csvfile_path = diretory + 'table_ingredients.csv'
try:
with open(csvfile_path, newline='') as csvfile:
foods = csv.DictReader(csvfile)
for food in foods:
name_grp_parsed = food['alim_grp_nom_fr'].replace(
' et ', ' & ')
try:
group = FoodGroup.objects.get(name=name_grp_parsed)
except ObjectDoesNotExist:
group = FoodGroup()
group.name = name_grp_parsed
group.save()
name_food_parsed = food['alim_nom_fr'].replace(
' et ', ' & ')
new_food = Food()
new_food.name = name_food_parsed
new_food.id_group = group
new_food.food_code = food["alim_code"]
new_food.proteine = food["Protéines (g/100g)"]
new_food.glucide = food["Glucides (g/100g)"]
new_food.lipide = food["Lipides (g/100g)"]
new_food.sucre = food["Sucres (g/100g)"]
new_food.fibre = food["Fibres alimentaires (g/100g)"]
new_food.acide_gras_sature = food["AG saturés (g/100g)"]
new_food.cholesterol = food["Cholestérol (mg/100g)"]
new_food.sel_chlorure_de_sodium = food[
"Sel chlorure de sodium (g/100g)"]
new_food.calcium = food["Calcium (mg/100g)"]
new_food.fer = food["Fer (mg/100g)"]
new_food.magnesium = food["Magnésium (mg/100g)"]
new_food.potassium = food["Potassium (mg/100g)"]
new_food.zinc = food["Zinc (mg/100g)"]
new_food.vitamine_c = food["Vitamine C (mg/100g)"]
new_food.vitamine_d = food["Vitamine D (µg/100g)"]
new_food.vitamine_e = food["Vitamine E (mg/100g)"]
new_food.energie = food["Energie (kcal/100g)"]
new_food.save()
if kwargs['verbose']:
self.stdout.write(
f"{self.style.SUCCESS(name_food_parsed)} ajouté à la base de données"
)
except:
self.stderr.write(
self.style.ERROR('Une erreur est survenu. \
\nIl est possible que les ingrédients existe déjà dans la base de données.'))
def handle(self, *args, **kwargs):
diretory = os.path.join(os.path.dirname(__file__),
'../../../feedeasyform_project/assets/')
jsonfile_path = diretory + 'new_foods.json'
try:
with open(jsonfile_path, 'r') as jsonfile:
foods = json.load(jsonfile)
for food in foods:
name_food_parsed = food.pop('name').replace(' et ', ' & ')
try:
new_food = Food.objects.get(name=name_food_parsed)
state = "modifié dans"
except ObjectDoesNotExist:
new_food = Food()
state = "ajouté à"
name_grp_parsed = food.pop('categorie_name').replace(
' et ', ' & ')
food.pop('source AJOUT')
try:
group = FoodGroup.objects.get(name=name_grp_parsed)
except ObjectDoesNotExist:
group = FoodGroup()
group.name = name_grp_parsed
group.save()
new_food.name = name_food_parsed
new_food.id_group = group
for k, v in food.items():
setattr(new_food, k, v)
new_food.save()
if kwargs['verbose']:
self.stdout.write(
f"{self.style.SUCCESS(name_food_parsed)} {state} la base de données"
)
except Exception as e:
print(e)
self.stderr.write(
self.style.ERROR('Une erreur est survenu. \
\nIl est possible que les ingrédients existe déjà dans la base de données.'))
def post(self, request):
try:
print ">>>request.POST", request.POST
food_img = request.POST["food_img"] # 菜图片
food_price = request.POST["food_price"] # 菜价格
food_name = request.POST["food_name"] # 菜名字
food_desc = request.POST["food_desc"] # 活动配图
group_id = request.POST["group_id"] # 分组id
food_id = rand_str(8)
food = Food()
food.food_id = food_id
food.name = food_name
food.group_id = group_id
food.food_img = food_img
food.desc = food_desc
food.price = food_price
food.create_time = datetime.now()
food.save()
return JsonResponse({"status": 200, "data": request.POST})
except BaseException, e:
return JsonResponse({"error": str(e), "status": 400})
def fill_table(maxFoodCat, maxFoodPage):
"""
This function download food and inserting it into
the local database
Parameter: maxFoodCat = maximum food categories wished
maxFoodPage = maximum categories food page wished
Not all foods are looking for relevant information.
So we used a table containing the keys searched for
verification before extraction.
"""
requiredIndex = ("url", "nutrition_grade_fr",
"purchase_places", "manufacturing_places", "countries",
"ingredients_text", "product_name", "generic_name_fr",
"image_url", "image_small_url",
)
# geting categories objects from openfoodfact
categoriesUrl = "https://fr.openfoodfacts.org/categories.json"
r = requests.get(categoriesUrl)
categories = r.json()
# insert the categories in the DB
for i in range(maxFoodCat):
cat = Category()
cat.name = categories['tags'][i]['name']
cat.url = categories['tags'][i]['url']
cat.save()
# insert foods for each category
"""
A category may contain many page of foods, paginate by 20.
Then we save the differents url in a list tab to loop other
it and extract any foods that respect the constraint.
"""
foodPageUrlTab = list() # the different page url of aliments
foodPageUrlTab = [cat.url + '/' + str(ind) + '.json'
for ind in range(1, maxFoodPage + 1)]
# request each url of the table to find out the contains foods
for j in range(len(foodPageUrlTab)):
foodsUrl = foodPageUrlTab[j]
r2 = requests.get(foodsUrl)
foods = r2.json()
foodsName = list()
# each page contain 20 foods
for k in range(len(foods)):
# verify if the food object keys contain the
# required index
if present(requiredIndex, foods['products'][k]):
# then add them to the DB
food = Food()
fObject = foods['products'][k] # json food object
# fill in all the texts fields
food.category = cat
food.name = fObject['product_name']
food.nameFr = fObject['product_name_fr']
food.genericNameFr = fObject['generic_name_fr']
food.url = fObject['url']
food.nutritionGrade = fObject['nutrition_grade_fr']
food.manufacturingPlaces = fObject['manufacturing_places']
food.purchasePlaces = fObject['purchase_places']
food.countries = fObject['countries'].replace("en:", "")
food.ingredientsText = fObject['ingredients_text']
food.image_link = fObject['image_front_url']
# this section deals with uploading images and inserting
# them into the DB
# we save two kinds of images; small and normal size
# variables what store the the saved images directory path
#imageDirectory = 'media/image/' # for the normal size
#imageSmallDirectory = 'media/imageSmall/' # small
"""imageDirectory = 'media/image/'
# variables who rename the downloaded images
imageName = "{}.jpg".format(slugify(food.name))
imageSmallName = "{}-sm.jpg".format(slugify(food.name))
# download the two images with urllib librairy
# urllib.request.urlretrieve(imageUrl, localImagePath)
imagePath = imageDirectory + str(imageName)
imageSmallPath = imageDirectory + str(imageSmallName)
urllib.request.urlretrieve(fObject['image_url'],
imagePath)
urllib.request.urlretrieve(fObject['image_small_url'],
imageSmallPath)
# now we can fill the two imageFields
# with the downloaded images
food.image = File(open(imagePath, 'rb'))
food.imageSmall = File(open(imageSmallPath, 'rb'))"""
if food.name in foodsName:
pass
else:
foodsName.append(food.name)
food.save()