JSON response list select - python

I'm fiddling with an API and this is the response i get:
{
"name1": {
},
"name2": {
"something1": 213,
"something2": [
{
"info1": 123,
"info2": 324
}
]
}
}
I've tried using
r.json()['name2']['something2']['info2'][0]
and
r.json()['name2']['something2'][0]
the first one gives me an error while the second one prints "something2" in its entirety, which i only need specific infos and values from there. How can I do that?

I think you should use the following code
data = r.json()
data['name2']['something2'][0]['info2']
You need to put [0] after something2 because something2 is a list

Related

Is there a way to make a response from Python requests a list within a Python dictionary?

I am using the Python requests library to get some data from an API. However, within the output dictionary, I would like to have a list. I want to have a list within the data_providers key where the first entry for name, url and api_url to be hard coded and the second entry to be gotten from the response.
Currently I get the error TypeError: unhashable type: 'dict', and my code look like this
output_dict = {
'data_providers' : {
{
'name': 'NBN Atlas',
'url': 'https://registry.nbnatlas.org/datasets',
'api_url': 'https://registry.nbnatlas.org/ws/dataResource',
},
{
'name': owner_name,
'url': owner_url,
'api_url': owner_api_url,
},
}
}
After running the code and dumping it into a JSON file my desired response should look something like this:
[
{
"data_providers": [
{
"name": "NBN Atlas",
"url": "https://registry.nbnatlas.org/datasets",
"api_url": "https://registry.nbnatlas.org/ws/dataResource"
},
{
"name": "Marine Biological Association",
"url": "https://registry.nbnatlas.org/public/show/dp80",
"api_url": "https://registry.nbnatlas.org/ws/dataProvider/dp80"
}
]
}
]
Any way to go about this?
If I understood your question correctly, you wish to fix the unhashable type error and display valid JSON. If so, you can correct the error by changing data_providers dictionary to a list since it contains multiple nested dictionaries.
output_dict = {
'data_providers': [
{
'name': 'NBN Atlas',
'url': 'https://registry.nbnatlas.org/datasets',
'api_url': 'https://registry.nbnatlas.org/ws/dataResource'
},
{
'name': owner_name,
'url': owner_url,
'api_url': owner_api_url
}
]
}
You can now use a statement similar to print(json.dumps(output_dict)) to display the result as JSON.

Flatten Nested JSON in Python

I'm new to Python and I'm quite stuck (I've gone through multiple other stackoverflows and other sites and still can't get this to work).
I've the below json coming out of an API connection
{
"results":[
{
"group":{
"mediaType":"chat",
"queueId":"67d9fb5e-26b2-4db5-b062-bbcfa8d2ca0d"
},
"data":[
{
"interval":"2021-01-14T13:12:19.000Z/2022-01-14T13:12:19.000Z",
"metrics":[
{
"metric":"nOffered",
"qualifier":null,
"stats":{
"max":null,
"min":null,
"count":14,
"count_negative":null,
"count_positive":null,
"sum":null,
"current":null,
"ratio":null,
"numerator":null,
"denominator":null,
"target":null
}
}
],
"views":null
}
]
}
]
}
and what I'm mainly looking to get out of it is (or at least something as close as)
MediaType
QueueId
NOffered
Chat
67d9fb5e-26b2-4db5-b062-bbcfa8d2ca0d
14
Is something like that possible? I've tried multiple things and I either get the whole of this out in one line or just get different errors.
The error you got indicates you missed that some of your values are actually a dictionary within an array.
Assuming you want to flatten your json file to retrieve the following keys: mediaType, queueId, count.
These can be retrieved by the following sample code:
import json
with open(path_to_json_file, 'r') as f:
json_dict = json.load(f)
for result in json_dict.get("results"):
media_type = result.get("group").get("mediaType")
queue_id = result.get("group").get("queueId")
n_offered = result.get("data")[0].get("metrics")[0].get("count")
If your data and metrics keys will have multiple indices you will have to use a for loop to retrieve every count value accordingly.
Assuming that the format of the API response is always the same, have you considered hardcoding the extraction of the data you want?
This should work: With response defined as the API output:
response = {
"results":[
{
"group":{
"mediaType":"chat",
"queueId":"67d9fb5e-26b2-4db5-b062-bbcfa8d2ca0d"
},
"data":[
{
"interval":"2021-01-14T13:12:19.000Z/2022-01-14T13:12:19.000Z",
"metrics":[
{
"metric":"nOffered",
"qualifier":'null',
"stats":{
"max":'null',
"min":'null',
"count":14,
"count_negative":'null',
"count_positive":'null',
"sum":'null',
"current":'null',
"ratio":'null',
"numerator":'null',
"denominator":'null',
"target":'null'
}
}
],
"views":'null'
}
]
}
]
}
You can extract the results as follows:
results = response["results"][0]
{
"mediaType": results["group"]["mediaType"],
"queueId": results["group"]["queueId"],
"nOffered": results["data"][0]["metrics"][0]["stats"]["count"]
}
which gives
{
'mediaType': 'chat',
'queueId': '67d9fb5e-26b2-4db5-b062-bbcfa8d2ca0d',
'nOffered': 14
}

Update nested Python list key using pop

I have a json file called pool.json which contains this:
{
"pools": {
"$poolId": {
"nodes": {
"$nodeId": {
"bcm": {
"address": {
"ip": "10.10.10.10"
},
"password": "ADMIN",
"username": "ADMIN"
}
}
}
}
}
}
This is my Python code:
pool_id = ['123456']
json_pool = json.loads(read_json_file('pool.json'))
for i in pool_id:
json_pool['pools'][i] = json_pool.pop(['pools']['$poolId'])
print('json_pool: %s' % json_pool)
I'm trying to update $poolId with the value in pool_id(I know I've only got one pool_id. I just want to get this piece working before I do anything else). Ive been trying to do this with pop but am having no success when it's nested as in this case. I can get it working when I want to change a top level key. What am I doing wrong?
I think you want to execute json_pool['pools'].pop('$poolId') instead of json_pool.pop(['pools']['$poolId']).

How to scrape attributes from json values

I am trying to scrape some values through a json that looks like:
{
"attributes":{
"531":{
"id":"531",
"code":"taille",
"label":"taille",
"options":[
{
"id":"30",
"label":"40",
"is_in":"0"
},
{
"id":"31",
"label":"41",
"is_in":"1"
}
]
}
},
"template":"Helloworld"
}
My issue is that the number 531 is different in each json file that I am trying to scrape and what I am trying to grab through this json is the label and is_in value
What I have done so far is that I tried to do something like this but I am stuck and dont know how to do if the 531 is changing to something else
getOption = '{
"attributes":{
"531":{
"id":"531",
"code":"taille",
"label":"taille",
"options":[
{
"id":"30",
"label":"40",
"is_in":"0"
},
{
"id":"31",
"label":"41",
"is_in":"1"
}
]
}
},
"template":"Helloworld"
}'
for att, values in getOption.items():
print(values)
So how do I possible scrape the value label and is_in?
I'm not sure if you can have several 531 keys but you can loop through them.
getOption = {
"attributes":{
"531":{
"id":"531",
"code":"taille",
"label":"taille",
"options":[
{
"id":"30",
"label":"40",
"is_in":"0"
},
{
"id":"31",
"label":"41",
"is_in":"1"
}
]
}
},
"template":"Helloworld"
}
attributes = getOption['attributes']
for key in attributes.keys():
for item in attributes[key]['options']:
print(item['label'], item['is_in'])

Pymongo: Unable to find record from mongodb

I have a collection containing country records, I need to find particular country with uid and it's countryId
Below is the sample collection data:
{
"uid": 15024,
"countries": [{
"countryId": 123,
"popullation": 45000000
},
{
"countryId": 456,
"poppulation": 9000000000
}
]
},
{
"uid": 15025,
"countries": [{
"countryId": 987,
"popullation": 560000000
},
{
"countryId": 456,
"poppulation": 8900000000
}
]
}
I have tried with below query in in python but unable to find any result:
foundRecord = collection.find_one({"uid" : 15024, "countries.countryId": 456})
but it return None.
Please help and suggest.
I think following will work better :
foundRecord = collection.find_one({"uid" : 15024,
"countries" : {"$elemMatch" : { "countryId" : 456 }})
Are you sure you're using the same Database / Collection source?
Seems that you're saving results on another collection.
I've tried to reproduce your problem and it works on my mongodb ( note that I'm using v4)
EDIT: Would be nice to have the piece of code where you're defining "collection"

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