嘿，伙计们，这将是一个艰巨的任务，但我需要帮助改进这段代码，它仍然不能完全按照我的意愿去做。我是一名研究生，试图利用Edamam Nutrition Analysis API从该数据集中获取食物的卡路里信息。
我需要帮助改进此代码，因为它连接到 API 并获取食物信息，但这是我的担忧：
- 它不会
keys像我想要的那样每 10 个查询调用循环遍历列表中的 api 键。字典中的键值headers应该更改为keys列表中的下一个 API 键，如下示例输出所示：
Detected Word: waffle
Food Stats:
{"message":"You have exceeded the DAILY quota for requests on your current plan, BASIC. Upgrade your plan at https:\/\/rapidapi.com\/edamam\/api\/edamam-nutrition-analysis"}
Out of calls, restarting in 30 secs...
x at 1
Key 1 : 16d7ecf46dmshc432a0e5b44478bp18c531jsn775dccbe9451
Detected Word: butter
Food Stats:
{"message":"You have exceeded the DAILY quota for requests on your current plan, BASIC. Upgrade your plan at https:\/\/rapidapi.com\/edamam\/api\/edamam-nutrition-analysis"}
Out of calls, restarting in 30 secs...
x at 2
Key 2 : 16d7ecf46dmshc432a0e5b44478bp18c531jsn775dccbe9451 # Supposed to
# switch to next key in keys list upon this error message happening
Detected Word: syrup
Food Stats:
{"message":"You have exceeded the DAILY quota for requests on your current plan, BASIC. Upgrade your plan at https:\/\/rapidapi.com\/edamam\/api\/edamam-nutrition-analysis"}
Out of calls, restarting in 30 secs...
x at 3 # AFTER 2 IT IS SUPPOSED TO RESET TO 0!!
Key 3 : 16d7ecf46dmshc432a0e5b44478bp18c531jsn775dccbe9451
Detected Word: ham
Food Stats:
{"message":"You have exceeded the DAILY quota for requests on your current plan, BASIC. Upgrade your plan at https:\/\/rapidapi.com\/edamam\/api\/edamam-nutrition-analysis"}
Out of calls, restarting in 30 secs...
x at 4
我认为我使用了太多的
ifandelse语句，我最近这样做是因为我有一些if语句没有else，并且认为添加else将确保所有代码都被执行。我的编程逻辑合理吗？
有没有人知道一个可以做 Edamam Nutrition API 的功能但免费的食物 API ？我只是想让这个工作，但要完成我想要的，我必须拨打比系统允许的更多的电话。
我在最后添加列表的方式是否会产生到我寻求的输出列/系列？我想要的输出如下所示：
# each list will be the length of the # of food items detected in the respective text data, the numbers
# being the calories of that food item.
[[23,23,22], [23,543,76, 322, 32, 1], [31,312,67,34,34,2], [31,543,76,32,12], [32,4,66,3], etc...]
这是代码：
col = []
sem = []
while len(col) != len(data['post']):
for i in data['post']:
limit = 0
calories = []
for word in eval(i):
if word not in food:
continue
else:
print('Detected Word: ', word)
querystring = {"ingr": "1 {}".format(word)}
try: # ERROR HANDLING: CHECK FOR KEY ERROR
response = requests.request("GET", url, headers=headers, params=querystring)
except KeyError as f:
print(f, 'Out of calls, restarting in 30 secs...')
time.sleep(30)
x += 1 # move on to next API key as result of error
if ctrl == (len(keys) - 1):
x -= 2 # move back to keys[0]: first API key
print(x)
print('Key', x, ':', key)
else:
stats = response.text
print('Food Stats: \n', stats)
if 'status' or 'message' in eval(stats).keys(): # ERROR HANDLING: CHECKS FOR THESE KEY VALUES
# TO DETECT RUNNING OUT OF API CALLS
print('Out of calls, restarting in 30 secs...')
time.sleep(30)
x += 1 # move on to next API key as result of error
if ctrl == (len(keys) - 1):
x -= 2 # move back to keys[0]: first API key
else:
print(x)
print('Key', x, ':', key)
else:
calories.append(eval(stats)['calories'])
limit += 1
print('Limit at {}'.format(limit))
if limit == 10:
x += 1
print(x)
if ctrl == (len(keys) - 1):
x -= 2
print('Reset x:', x)
print('Key', x, ':', key)
else:
print('Limit at {}, Halting program for 30 secs...'.format(limit))
limit = 0
time.sleep(30)
print('Resuming...')
sem.append(calories)
col.append(sem)
以下是此代码涉及的变量：
# dataset where we are getting text data from
data = pd.read_csv('mfp_1_proc_data.csv')
# Manual Food Bank to check if words are food.
food = ['waffle', 'apple', 'cottage', 'cheese', 'muffin', 'soup', 'coffee', 'butter', 'ham', 'syrup', 'tortilla',
'salt', 'pepper', 'butternut', 'walnut', 'cinnamon', 'kale', 'spinach', 'banana', 'bean', 'turkey', 'jam',
'carrot', 'cracker', 'rice', 'soy', 'tempura', 'sushi', 'orange', 'pasta', 'chicken', 'beef', 'fish', 'lamb',
'pork', 'broccoli', 'lettuce', 'tomato', 'garlic', 'bacon', 'salad', 'vanilla', 'raspberry', 'cake', 'beer',
'green', 'onion', 'vegetable', 'chocolate', 'sugar', 'chip', 'cookie', 'milk', 'cashew', 'vinegar', 'artichoke',
'cheddar', 'cauliflower', 'pinto', 'egg', 'peanut', 'cocoa', 'avocado', 'pomegranate', 'clementine', 'grape']
# API keys to be cycled through operation
keys = ["16d7ecf46dmshc432a0e5b44478bp18c531jsn775dccbe9451",
"e5d3101980msh4437c99f8467336p1f07a7jsne6206fb9828d",
"f3d0adb9bamsh765dd46a0f7169ep1bbb31jsn68420afd160b"]
# variable for keys[x] to change which key is used
x = 0
# Dictionary to run as headers parameter for requests.request()
# 'x-rapidapi-key' value is meant to be changed to the next key in the keys list every 10 queries
headers = {
'x-rapidapi-host': "edamam-edamam-nutrition-analysis.p.rapidapi.com",
'x-rapidapi-key': keys[x]
}
# useful variable to refer to headers key
key = headers['x-rapidapi-key']
# this should equal the index of whatever API key from the keys list key equals (if headers['x-rapidapi-key'] = keys[2],
# ctrl = 2)
ctrl = keys.index(key)
如果这不是提出此类问题的正确论坛，请告诉我。如果你们能提供帮助，我们将不胜感激，因为这些数据将帮助我的研究项目走上一条清晰的完成之路。