def test_client_search_foods(self, apimock):
cli = UsdaClient("API_KAY")
with apimock:
foods = list(cli.search_foods('pizza', 5))
assert foods[0].name == "Pizza"
assert foods[1].name == "Pizza with pineapple"
import json
from usda.client import UsdaClient
#change wd to current directory
abspath = os.path.abspath(__file__)
wdname = os.path.dirname(abspath)
os.chdir(wdname)
#get peapod products into dataframe
filename = wdname + "/peapod_products.csv"
df = pd.read_csv(filename, sep=',')
#print(df.head())
#NqkZOVymIkbkboyC7Mt5FWy3AzSEXLZlRmgDH5wj
client = UsdaClient("NqkZOVymIkbkboyC7Mt5FWy3AzSEXLZlRmgDH5wj")
for food in df['Item']:
try:
foods_search = client.search_foods(food, 1)
res = next(foods_search)
print(res)
except:
print("no match")
#match with nutritionix db on name
# req_headers = {'api_key':'NqkZOVymIkbkboyC7Mt5FWy3AzSEXLZlRmgDH5wj','Content-Type':'application/json'}
# req_url = "https://[email protected]/fdc/v1/search"
# query = {"generalSearchInput":"Food For Life Ezekiel 4:9 Bread Sprouted Grain Flourless Organic"}
# r = requests.post(url = req_url, headers=req_headers, json=query)
# data = json.loads(r.content.decode('utf-8'))
# print(data)
