Accessing nested dictionary in json from python file

Question

I have a intent.json file

{"intents": [
    {"tag": "greeting",
     "patterns": ["Hi there", "How are you", "Is anyone there?", "Hello", "Good day"],
     "responses": ["Hello, thanks for asking", "Good to see you again", "Hi there, how can I help?"],
     "context": [""]
    },
    {"tag": "goodbye",
     "patterns": ["Bye", "See you later", "Goodbye", "Nice chatting to you, bye", "Till next time"],
     "responses": ["See you!", "Have a nice day", "Bye! Come back again soon."],
     "context": [""]
    }
    ]
}

I have python file in which following function fetches the intent of the sentence and output is as follows

classify_local('Hello, good day!')

and output comes as

['greeting']

Now I want to fetch a response corresponding to tag greeting. How can I do that?

check classify_local function it must be using "tag" key to return values, there you can change/add "responses" key as well. — Mohit Sharma
– Mohit Sharma, Commented Mar 12, 2020 at 6:14
Does this answer your question? Parsing Through Nested JSON Python — Siddharth Das
– Siddharth Das, Commented Mar 12, 2020 at 6:17
Is the third element in your patterns for the tag greeting, "Hello", "Good day" or "Hello, good day!"? — akilesh raj
– akilesh raj, Commented Mar 12, 2020 at 6:55

Sam Morgan · Accepted Answer · 2020-03-12 07:14:50Z

There's a ton of possible holes here, but given the expected output, this should work to figure out what type of intent the sentence has given the limited I/O provided.

import string

def classify_local(text):
    # Separate out the phrases of the input text
    # "Hello, good day!" --> ['hello', 'good day']
    phrases = [
        s.translate(s.maketrans("", "", string.punctuation)).strip().lower()
        for s in text.split(",")
    ]

    # Find tags where all phrases are in patterns
    return [
        i["tag"]
        for i in intents_json["intents"]
        if all(j in [k.lower() for k in i["patterns"]] for j in phrases)
    ]


classify_local("Hello, good day!")

If you want a softer match, replace all in the return with any, but that's much less likely to be correct in a broader data set.

Keep in mind that this all falls apart very quickly when parsing written sentences against larger data sets.

kederrac · Accepted Answer · 2020-03-12 08:43:33Z

you could use regular expresions:

import re


my_json = {"intents": [
    {"tag": "greeting",
     "patterns": ["Hi there", "How are you", "Is anyone there?", "Hello", "Good day"],
     "responses": ["Hello, thanks for asking", "Good to see you again", "Hi there, how can I help?"],
     "context": [""]
    },
    {"tag": "goodbye",
     "patterns": ["Bye", "See you later", "Goodbye", "Nice chatting to you, bye", "Till next time"],
     "responses": ["See you!", "Have a nice day", "Bye! Come back again soon."],
     "context": [""]}]}


pattern_tag = {'|'.join(d["patterns"]): d['tag'] for d in my_json["intents"]}

def classify_local(my_strig):
    for p, t in pattern_tag.items():
        if re.search(p, my_strig):
            return t

classify_local('Hello, good day!')

output:

'greeting'

to read from your json file:

import json

with open('intent.json') as f:
    my_json = json.load(f)

akilesh raj · Accepted Answer · 2020-03-12 07:02:27Z

1

If you simply want the first response from all the responses for the tag greeting then it is,

json_value = {
    "intents": [
        {
            "tag": "greeting",
            "patterns": ["Hi there", "How are you", "Is anyone there?", "Hello", "Good day"],
            "responses": ["Hello, thanks for asking", "Good to see you again", "Hi there, how can I help?"],
            "context": [""]
        },
        {
            "tag": "goodbye",
            "patterns": ["Bye", "See you later", "Goodbye", "Nice chatting to you, bye", "Till next time"],
            "responses": ["See you!", "Have a nice day", "Bye! Come back again soon."],
            "context": [""]
        }
    ]
}


for intent in json_value['intents']:
    if intent['tag'] == 'greeting':
        response = intent['responses'][0]
print(response)

answered Mar 12, 2020 at 7:02

akilesh raj

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1 Comment

kederrac Over a year ago

you give a response no matter the input of your function classify_local

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