I have a json dictionary and I need to check the values of the data and see if there is a match. I am using multiple if
statements and the in
operator like so:
"SomeData":
{
"IsTrue": true,
"ExtraData":
{
"MyID": "1223"
}
}
json_data = MYAPI.get_json()
if 'SomeData' in json_data:
some_data = json_data['SomeData']
if 'IsTrue' in some_data:
if some_data['IsTrue'] is True:
if 'ExtraData' in some_data:
if 'MyID' in some_data['ExtraData']:
if some_data['ExtraData']['MyID'] == "1234":
is_a_match = True
break
I know that in python3 the in
operator should be used, but I am thinking there must be a better way than using multiple if statements like I am using. Is there a better way to parse json data like this?
Yes, you can assume that the keys are present, but catch a KeyError
if they aren't.
try:
some_data = json_data['SomeData']
is_a_match = (
some_data['IsTrue'] is True and
some_data['ExtraData']['MyID'] == "1234"
)
except KeyError:
is_a_match = False
This style is called easier to ask for forgiveness than permission (EAFP) and it's used a lot in Python. The alternative is look before you leap (LBYL) , which you use in your solution.
I would suggest writing a path function to access values in your nested dictionary. Something along the lines of this (pseudocode):
def get_path_value(json_dict, path):
"""
json_dict - dictionary with json keys and values
path - list of key sequences, e.g. ['SomeData', 'IsTrue']
you can make this a helper function and use an entry point that
splits paths, e.g. "SomeData/IsTrue"
"""
if len(path) == 1:
# last tag, base case
return json_dict[path[0]]
else:
return get_path_value(json_dict[path[0]], path[1:])
Add try/catch if you want something other than bad key, but this will let you navigat the dictionary a little more eloquently. Then you have things like:
if get_path_value(json_dict, ["SomeData", "IsTrue"]) == True and ...
You could even write a nice little class to wrap this all up, eg json["SomeData/IsTrue"] == True
Best of luck, Marie
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