I am new at python, I´ve worked with other languages... I´ve made this code with Java and works, but now, I must do it in python. I have a json of 3 levels, the first two are: resources, usages, and I want to count the names on the third level. I´ve seen several examples but I cant get it done
import json
data = {
"startDate": "2019-06-23T16:07:21.205Z",
"endDate": "2019-07-24T16:07:21.205Z",
"status": "Complete",
"usages": [
{
"name": "PureCloud Edge Virtual Usage",
"resources": [
{
"name": "Edge01-VM-GNS-DemoSite01 (1f279086-a6be-4a21-ab7a-2bb1ae703fa0)",
"date": "2019-07-24T09:00:28.034Z"
},
{
"name": "329ad5ae-e3a3-4371-9684-13dcb6542e11",
"date": "2019-07-24T09:00:28.034Z"
},
{
"name": "e5796741-bd63-4b8e-9837-4afb95bb0c09",
"date": "2019-07-24T09:00:28.034Z"
}
]
},
{
"name": "PureCloud for SmartVideo Add-On Concurrent",
"resources": [
{
"name": "jpizarro#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "jaguilera#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "dcortes#gns.com.co",
"date": "2019-07-15T15:06:09.203Z"
}
]
},
{
"name": "PureCloud 3 Concurrent User Usage",
"resources": [
{
"name": "jpizarro#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "jaguilera#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "dcortes#gns.com.co",
"date": "2019-07-15T15:06:09.203Z"
}
]
},
{
"name": "PureCloud Skype for Business WebSDK",
"resources": [
{
"name": "jpizarro#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "jaguilera#gns.com.co",
"date": "2019-06-25T04:54:17.662Z"
},
{
"name": "dcortes#gns.com.co",
"date": "2019-07-15T15:06:09.203Z"
}
]
}
],
"selfUri": "/api/v2/billing/reports/billableusage"
}
cantidadDeLicencias = 0
cantidadDeUsages = len(data['usages'])
for x in range(cantidadDeUsages):
temporal = data[x]
cantidadDeResources = len(temporal['resource'])
for z in range(cantidadDeResources):
print(x)
What changes I have to make? Maybe I have to do it on another approach? Thanks in advance
Update
Code that works
cantidadDeLicencias = 0
for usage in data['usages']:
cantidadDeLicencias = cantidadDeLicencias + len(usage['resources'])
print(cantidadDeLicencias)
You can do this :
for usage in data['usages']:
print(len(usage['resources']))
If you want to know the number of names in each of the resources level, counting the duplicated names (e.g. "jaguilera#gns.com.co" appears more than one time in your data), then just do iterate over the first-level (usages) and sum the size of each array
cantidadDeLicencias = 0
for usage in data['usages']:
cantidadDeLicencias += len(usage['resources'])
print(cantidadDeLicencias)
If you don't want to count duplicates, then use a set and iterate over each resources array
cantidadDeLicencias_set = {}
for usage in data['usages']:
for resource in usage['resources']:
cantidadDeLicencias_set.add(resource['name'])
print(len(cantidadDeLicencias_set ))
Related
I am currently trying to have python parse JSON similar to the one at https://petition.parliament.uk/petitions/560216.json.
My problem is that the data I need is nested in a lot of parts and I don't know how to tell python which part to take.
A simplified version of the data I need is below
{
"data": {
"attributes": {
"signatures_by_country": [
{
"name": "Afghanistan",
"code": "AF",
"signature_count": 1
},
{
"name": "Algeria",
"code": "DZ",
"signature_count": 2
},
]
}
}
}
I am trying to pull the "signature_count" part.
The below code collect what you have asked to a list
data = {
"data": {
"attributes": {
"signatures_by_country": [
{
"name": "Afghanistan",
"code": "AF",
"signature_count": 1
},
{
"name": "Algeria",
"code": "DZ",
"signature_count": 2
},
]
}
}
}
counts = [x['signature_count'] for x in data['data']['attributes']['signatures_by_country']]
print(counts)
output
[1,2]
Count by country below
counts = [{x['name']:x['signature_count']} for x in data['data']['attributes']['signatures_by_country']]
output
[{'Afghanistan': 1}, {'Algeria': 2}]
I have this JSON nested dictionary I need to parse into SQL table. The problem is the number of key tank (max is 4) in nested dictionary keeps changing with different site_id. Are there a way to read them?
{
"data": [
{
"site_id": 30183,
"city": "Seattle",
"state": "US-WA",
"tank": [
{
"id": 00001,
"name": "Diesel"
},
{
"id": 00002,
"name": "Diesel"
},
{
"id": 00003,
"name": "Unleaded 89"
}
]
},
{
"site_id": 200942,
"city": "Boise",
"state": "ID-WA",
"tank": [
{
"id": 00001,
"name": "Diesel"
},
{
"id": 00002,
"name": "Unleaded 95"
}
]
}
]
}
Here is my current code:
for site in response['data']:
row = []
row.extend([site['site_id'], site['city'], site['state']])
for tank in site['tank']:
row.extend([tank['id'], tank['name']])
Any site_id that does not have enough 4 tank can have missing value replaced with NULL
I don't know how to modify it to adjust to different number of tank keys. Any suggestion help! Thank you
TASK:
I am using a API call to get JSON data from our TeamCity CI tool.
We need to identify all those builds which are using old version of msbuild.
We can identify from this API call data
{
"name": "msbuild_version",
"value": "15.0"
}
At the moment i am saving the entire API call data to a file; however i will later integrate the API call to the same script.
Now to the question at hand; How can i filter this above property i.e. msbuild_version, to say msbuild_version < 15.0 (i.e. all msbuild less than version 15.0) and display the corresponding 'id' and 'projectName' under 'buildType'; e.g.
"id": "AIntegration_BTool_BToolBuilds_DraftBuild",
"projectName": "A Integration / B Tool / VAR Builds",
here is a part of the JSON data file:-
{
"project": [{
"id": "_Root",
"buildTypes": {
"buildType": []
}
}, {
"id": "AI_BTool_BToolBuilds",
"buildTypes": {
"buildType": [{
"id": "AI_BTool_BToolBuilds_DraftBuild",
"projectName": "A I / B Tool / VAR Builds",
"steps": {
"step": [ {
"id": "RUNNER_213",
"name": "Build",
"type": "MSBuild",
"properties": {
"property": [ {
"name": "msbuild_version",
"value": "16.0"
}, {
"name": "run-platform",
"value": "x64"
}, {
"name": "targets",
"value": "Build"
}, {
"name": "teamcity.step.mode",
"value": "default"
}, {
"name": "toolsVersion",
"value": "15.0"
}]
}
}, {
"id": "RUNNER_228",
"name": "temp",
"type": "VS.Solution",
"properties": {
"property": [{
"name": "build-file-path",
"value": "x"
}, {
"name": "msbuild_version",
"value": "16.0"
}, {
"name": "vs.version",
"value": "vs2019"
}]
}
}]
}
}, {
"id": "AI_BTool_BToolBuilds_ContinuousBuildWithNexusI",
"projectName": "A I / B Tool / VAR Builds",
"steps": {
"step": [ {
"id": "RUNNER_22791",
"name": "Build",
"type": "MSBuild",
"properties": {
"property": [{
"name": "msbuild_version",
"value": "16.0"
}, {
"name": "run-platform",
"value": "x86"
}, {
"name": "teamcity.step.mode",
"value": "default"
}, {
"name": "toolsVersion",
"value": "15.0"
}]
}
}]
}
}]
}
}, {
"id": "AI_BTool_BToolBuilds_VARApiBuilds",
"buildTypes": {
"buildType": [{
"id": "AI_BTool_BToolBuilds_CiVARNewSolutionContinuousBuild",
"projectName": "A I / B Tool / VAR Builds / VAR API builds",
"steps": {
"step": [ {
"id": "RUNNER_22791",
"name": "Build",
"type": "MSBuild",
"properties": {
"property": [{
"name": "msbuilds_version",
"value": "15.0"
}, {
"name": "toolsVersion",
"value": "15.0"
}]
}
}]
}
}, {
"id": "AI_BTool_BToolBuilds_VARApiBuilds_CiVARIngestionWindowsServiceNonReleaseBranchBuild",
"projectName": "A I / B Tool / VAR Builds / VAR API builds",
"steps": {
"step": [{
"id": "RUNNER_22790",
"name": "Nuget Installer",
"type": "jb.nuget.installer",
"properties": {
"property": [{
"name": "nuget.path",
"value": "%teamcity.tool.NuGet.CommandLine.4.9.2%"
}, {
"name": "msbuilds_version",
"value": "16.0"
}, {
"name": "nuget.use.restore",
"value": "restore"
}, {
"name": "sln.path",
"value": "VAR.sln"
}, {
"name": "teamcity.step.mode",
"value": "default"
}]
}
}]
}
}]
}
}]
}
My Solution till now
And my code snippet till now
import json
with open('UnArchivedBuilds.txt') as api_call:
read_content = json.load(api_call)
#for project in read_content['project']:
# print (project.get('buildTypes'))
for project in read_content['project']:
# print (project['id'])
print (project['buildTypes']['buildType'])
I am not able to decide on the hierarchy of the JSON to print the relevant data (i.e id and projectName) wherever msbuild_version is less than 15.0
I had a look at your JSON data which was broken. In order to work with the snippet you provided I fixed the malformed data and removed unneeded parts to decrease clutter:
{
"project": [{
"buildTypes": {
"buildType": [{
"id": "AIntegration_BTool_BToolBuilds_DraftBuild",
"projectName": "A Integration / B Tool / VAR Builds"
},
{
"id": "AIntegration_BTool_BToolBuilds_ContinuousBuildIntegration",
"projectName": "A Integration / B Tool / VAR Builds"
}]
}
}]
}
As per my comment above I suggested recursion or using a schema validator to boil the JSON data down. However, as a quick-and-dirty approach and due to the weird structure of your dataset, I decided to do a multi-iteration over some parts of your data. Iterating over the same data is quite ugly and considered to be bad practice in most cases.
Assuming the data is stored in a file called input.json, the following snippet should give you the desired output:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
with open('input.json') as f:
data = json.load(f)
projects = (element for element in data.get('project'))
build_types = (element.get('buildTypes') for element in projects)
build_types = (element.get('buildType') for element in build_types)
for item in build_types:
for element in item:
identifier = element.get('id')
project_name = element.get('projectName')
print('{} --> {}'.format(identifier, project_name))
Printing:
AIntegration_BTool_BToolBuilds_DraftBuild --> A Integration / B Tool / VAR Builds
AIntegration_BTool_BToolBuilds_ContinuousBuildIntegration --> A Integration / B Tool / VAR Builds
I have a csv file with 4 columns data as below.
type,MetalType,Date,Acknowledge
Metal,abc123451,2018-05-26,Success
Metal,abc123452,2018-05-27,Success
Metal,abc123454,2018-05-28,Failure
Iron,abc123455,2018-05-29,Success
Iron,abc123456,2018-05-30,Failure
( I just provided header in the above example data but in my case i dont have header in the data)
how can i convert above csv file to Json in the below format...
1st Column : belongs to --> "type": "Metal"
2nd Column : MetalType: "values" : "value": "abc123451"
3rd column : "Date": "values":"value": "2018-05-26"
4th Column : "Acknowledge": "values":"value": "Success"
and remaining all columns are default values.
As per below format ,
{
"entities": [
{
"id": "XXXXXXX",
"type": "Metal",
"data": {
"attributes": {
"MetalType": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": "abc123451"
}
]
},
"Date": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": "2018-05-26"
}
]
},
"Acknowledge": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": "Success"
}
]
}
}
}
}
]
}
Even though jww is right, I built something for you:
I import the csv using pandas:
df = pd.read_csv('data.csv')
then I create a template for the dictionaries you want to add:
d_json = {"entities": []}
template = {
"id": "XXXXXXX",
"type": "",
"data": {
"attributes": {
"MetalType": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": ""
}
]
},
"Date": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": ""
}
]
},
"Acknowledge": {
"values": [
{
"source": "XYZ",
"locale": "Australia",
"value": ""
}
]
}
}
}
}
Now you just need to fill in the dictionary:
for i in range(len(df)):
d = template
d['type'] = df['type'][i]
d['data']['attributes']['MetalType']['values'][0]['value'] = df['MetalType'][i]
d['data']['attributes']['Date']['values'][0]['value'] = df['Date'][i]
d['data']['attributes']['Acknowledge']['values'][0]['value'] = df['Acknowledge'][i]
d_json['entities'].append(d)
I know my way of iterating over the df is kind of ugly, maybe someone knows a cleaner way.
Cheers!
I have the following json
{
"response": {
"message": null,
"exception": null,
"context": [
{
"headers": null,
"name": "aname",
"children": [
{
"type": "cluster-connectivity",
"name": "cluster-connectivity"
},
{
"type": "consistency-groups",
"name": "consistency-groups"
},
{
"type": "devices",
"name": "devices"
},
{
"type": "exports",
"name": "exports"
},
{
"type": "storage-elements",
"name": "storage-elements"
},
{
"type": "system-volumes",
"name": "system-volumes"
},
{
"type": "uninterruptible-power-supplies",
"name": "uninterruptible-power-supplies"
},
{
"type": "virtual-volumes",
"name": "virtual-volumes"
}
],
"parent": "/clusters",
"attributes": [
{
"value": "true",
"name": "allow-auto-join"
},
{
"value": "0",
"name": "auto-expel-count"
},
{
"value": "0",
"name": "auto-expel-period"
},
{
"value": "0",
"name": "auto-join-delay"
},
{
"value": "1",
"name": "cluster-id"
},
{
"value": "true",
"name": "connected"
},
{
"value": "synchronous",
"name": "default-cache-mode"
},
{
"value": "true",
"name": "default-caw-template"
},
{
"value": "blah",
"name": "default-director"
},
{
"value": [
"blah",
"blah"
],
"name": "director-names"
},
{
"value": [
],
"name": "health-indications"
},
{
"value": "ok",
"name": "health-state"
},
{
"value": "1",
"name": "island-id"
},
{
"value": "blah",
"name": "name"
},
{
"value": "ok",
"name": "operational-status"
},
{
"value": [
],
"name": "transition-indications"
},
{
"value": [
],
"name": "transition-progress"
}
],
"type": "cluster"
}
],
"custom-data": null
}
}
which im trying to parse using the json module in python. I am only intrested in getting the following information out of it.
Name Value
operational-status Value
health-state Value
Here is what i have tried.
in the below script data is the json returned from a webpage
json = json.loads(data)
healthstate= json['response']['context']['operational-status']
operationalstatus = json['response']['context']['health-status']
Unfortunately i think i must be missing something as the above results in an error that indexes must be integers not string.
if I try
healthstate= json['response'][0]
it errors saying index 0 is out of range.
Any help would be gratefully received.
json['response']['context'] is a list, so that object requires you to use integer indices.
Each item in that list is itself a dictionary again. In this case there is only one such item.
To get all "name": "health-state" dictionaries out of that structure you'd need to do a little more processing:
[attr['value'] for attr in json['response']['context'][0]['attributes'] if attr['name'] == 'health-state']
would give you a list of of matching values for health-state in the first context.
Demo:
>>> [attr['value'] for attr in json['response']['context'][0]['attributes'] if attr['name'] == 'health-state']
[u'ok']
You have to follow the data structure. It's best to interactively manipulate the data and check what every item is. If it's a list you'll have to index it positionally or iterate through it and check the values. If it's a dict you'll have to index it by it's keys. For example here is a function that get's the context and then iterates through it's attributes checking for a particular name.
def get_attribute(data, attribute):
for attrib in data['response']['context'][0]['attributes']:
if attrib['name'] == attribute:
return attrib['value']
return 'Not Found'
>>> data = json.loads(s)
>>> get_attribute(data, 'operational-status')
u'ok'
>>> get_attribute(data, 'health-state')
u'ok'
json['reponse']['context'] is a list, not a dict. The structure is not exactly what you think it is.
For example, the only "operational status" I see in there can be read with the following:
json['response']['context'][0]['attributes'][0]['operational-status']