Parsing a difficult json logs using python - json

Question

I have a json file as shown below
{
"body": {
"results": [
[
{
"field": "#timestamp",
"value": "2020-04-26 19:28:40.136"
},
{
"field": "#message",
"value": "Hi"
},
{
"field": "#time",
"value": "19:28:40,023"
},
{
"field": "#name",
"value": "Nitish"
},
{
"field": "#hobby",
"value": "Pool"
},
{
"field": "#duration",
"value": "19 mins"
}
],
[
{
"field": "#timestamp",
"value": "2020-04-26 19:28:40.136"
},
{
"field": "#message",
"value": "Hello"
},
{
"field": "#time",
"value": "19:28:40,023"
},
{
"field": "#name",
"value": "Amuri"
},
{
"field": "#Totalruns",
"value": "2"
},
{
"field": "#wickets",
"value": "10"
},
{
"field": "#hobby",
"value": "cricket"
},
{
"field": "#commentry",
"value": "ubbjb"
}
],
[
{
"field": "#timestamp",
"value": "2020-04-26 19:28:40.136"
},
{
"field": "#message",
"value": "how are you"
},
{
"field": "#time",
"value": "19:28:40,023"
},
{
"field": "#name",
"value": "Kit"
},
{
"field": "#Totalruns",
"value": "90"
},
{
"field": "#wickets",
"value": "1"
},
{
"field": "#hobby",
"value": "cricket"
},
{
"field": "#commentry",
"value": "jbunib"
}
]
]
}
}
I'm trying to parse #Totalruns and #wickets only if #hobby = cricket
I'm able to reach till accessing cricket unable to figure out to get data of #Totalruns and #wickets
code i've tried import json
f = open('/Users/amurin/Documents/test.json','r')
data = json.load(f)
for result in data['body']['results']:
for res in result:
if res['value']=='cricket':
print("Hello")
f.close()
I need output as
wickets = 1 , Totalruns = 90
wickets = 10 , Totalruns = 2

Answer 1

Solution 1, keeping the structure as it is:
def sublist_is_valid(sublist):
return any(d["field"] == "#hobby" and d["value"] == "cricket" for d in sublist)
def filter_fields(sublist):
return [d for d in sublist if d["field"] in ["#wickets", "#Totalruns"]]
filtered = [
filter_fields(sublist)
for sublist in data["body"]["results"]
if sublist_is_valid(sublist)
]
print(filtered)
Output:
[[{'field': '#Totalruns', 'value': '2'}, {'field': '#wickets', 'value': '10'}],
[{'field': '#Totalruns', 'value': '90'}, {'field': '#wickets', 'value': '1'}]]
Solution 2 (better IMO) is to use dictionaries right from the beginning:
def sublist_to_dict(sublist):
return {d["field"]: d["value"] for d in sublist}
filtered = [
{key: d[key] for key in ["#Totalruns", "#wickets"]}
for d in [sublist_to_dict(sublist) for sublist in data["body"]["results"]]
if d.get("#hobby") == "cricket"
]
print(filtered)
Output:
[{'#Totalruns': '2', '#wickets': '10'}, {'#Totalruns': '90', '#wickets': '1'}]