'Transforming streaming data into a json
I have a streaming data coming from a source and I was able to capture few important variables like ID, Timestamp and Vital signs. What I am trying to do is create a json file object and unload it into a file system. This is one of the examples:
for k in streaming:
id = k[1] ----------> 1
timestamp = k[2] ------> 1652304692
vsigns = k[3] -------> Nested dictionary
This is how vsigns looks like
"vsigns":
{
"ECG":
{
"VPB_FREQ": "0",
"STI": "+0.00"
},
"HR":
{
"HR_EKG": "87",
"HR_PPG_1": "87",
"HR_PULSED": "87"
},
"NIBP":
{
"NIBPS": "119",
"NIBPD": "88",
"NIBPM": "95"
}
}
And I want a json structure in the following format:
[{
"id": "1",
"ECG":
{
"timestamp": 1652304692,
"VPB_FREQ": "0",
"STI": "+0.00",
}
},
{
"id": "1",
"HR":
{
"timestamp": 1652304692,
"HR_EKG": "87",
"HR_PPG_1": "87",
"HR_PULSED": "87"
}
},
{
"id": "1",
"NIBP":
{
"timestamp": 1652304692,
"NIBPS": "119",
"NIBPD": "88",
"NIBPM": "95"
},
}]
I tried an approach but doesn't give me what I want. How do I get this right.
for k in streaming:
id = k[1]
timestamp = k[2]
vsigns = k[3]
vlist = []
for k, v in vsigns.items():
vdict = {"id": id,
k:{"timestamp":timestamp,
"vsigns": v}}
vlist.append(vdict)
print(vlist)
Output:
[{
"id": "1",
"ECG":
{
"timestamp": 1652951054.0,
"vsigns":
{
"VPB_FREQ": "0"
}
}
},
{
"id": "1",
"HR":
{
"timestamp": 1652951054.0,
"vsigns":
{
"HR_EKG": "126",
"HR_PPG_1": "127",
"HR_PULSED": "127"
}
}
},
{
"id": "1",
"NIBP":
{
"timestamp": 1652951054.0,
"vsigns":
{
"NIBPS": "95",
"NIBPD": "46",
"NIBPM": "62"
}
}
}
}]
Solution 1:[1]
The following piece of code worked for me:
for k in streaming:
id = k[1]
timestamp = k[2]
vsigns = k[3]
vlist = []
for k, v in vsigns.items():
v['timestamp'] = epoch_time
vdict = {"id": id,
k:v}
vlist.append(vdict)
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | NAB0815 |
