I found the answer:
Here you have my code in order to mock mongoDB Data with Flask
def test_post_food(self):
# Mock the food value in ./api.food.py
with unittest.mock.patch('api.food.food') as MockFood:
# Force the return value of food.insert_one(json) to sample_food
MockFood.insert_one.return_value = sample_food
with self.client.post("/api/addFood", json=sample_food[0]) as res:
# Check if food.insert_one(json) was called
MockFood.insert_one.assert_called()
self.assertEqual(res.status_code, 200)
self.assertEqual(res.data, b'{"Response":"Food was added"}\n')
sample_food = [{
"_id": {
"$oid": "619e8f45ee462d6d876bbdbc"
},
'Utilisateur': "999",
'Nom': 'Danette Vanille',
'Marque': 'Danone',
'Quantite': 4,
'ingredients': [
'lait entier',
'lait écrémé reconstitué à base de lait en poudre',
'sucre',
'crème',
'lait écrémé concentré ou en poudre',
'épaississants (amidon modifié, carraghénanes)',
'perméat de petit lait (lactosérum) en poudre',
'amidon',
'arôme (lait)',
'colorant (bêta-carotène)'
],
'Date': '20/12/2021',
'Valeurs': {
'Energie': '107 kcal',
'Matières grasses': '3,0g',
'Glucides': '17,1g',
'Proteines': '3g',
'Sel': '0,14g'
},
'Poids': '125g',
'Lieu': 'Frigo',
'Category': "Produit laitiers"
}]