If I have the following code and want to convert to XML:
Note: I tried using json2xml, but it doesn't convert the complete set, rather just converts a segment of it.
{
"odoo": {
"data": {
"record": [
{
"model": "ir.ui.view",
"id": "lab_tree_view",
"field": [
{
"name": "name",
"#text": "human.name.tree"
},
{
"name": "model",
"#text": "human.name"
},
{
"name": "priority",
"eval": "16"
},
{
"name": "arch",
"type": "xml",
"tree": {
"string": "Human Name",
"field": [
{"name": "name"},
{"name": "family"},
{"name": "given"},
{"name": "prefix"}
]
}
}
]
},
{
"model": "ir.ui.view",
"id": "human_name_form_view",
"field": [
{
"name": "name",
"#text": "human.name.form"
},
{
"name": "model",
"#text": "human.name"
},
{
"name": "arch",
"type": "xml",
"form": {
"string": "Human Name Form",
"sheet": {
"group": {
"field": [
{"name": "name"},
{"name": "family"},
{"name": "given"},
{"name": "prefix"}
]
}
}
}
}
]
}
],
"#text": "\n\n\n #ACTION_WINDOW_FOR_PATIENT\n ",
"record#1": {
"model": "ir.actions.act_window",
"id": "action_human_name",
"field": [
{
"name": "name",
"#text": "Human Name"
},
{
"name": "res_model",
"#text": "human.name"
},
{
"name": "view_mode",
"#text": "tree,form"
},
{
"name": "help",
"type": "html",
"p": {
"class": "o_view_nocontent_smiling_face",
"#text": "Create the Human Name\n "
}
}
]
},
"menuitem": [
{
"id": "FHIR_root",
"name": "FHIR"
},
{
"id": "FHIR_human_name",
"name": "Human Name",
"parent": "FHIR_root",
"action": "action_human_name"
}
]
}
}
}
Is there any Python library or dedicated code to do this?
I tried building custom functions to break this out and convert them all, but, I am rather stuck in this problem.
The use case here is the code above input and the output should be the code generated by any online converter
EDIT:
from json2xml import json2xml
from json2xml.utils import readfromurl, readfromstring, readfromjson
data = readfromstring(string)
print(json2xml.Json2xml(data).to_xml()
Above code only converts a part of the json like the below code to xml:
{
"record": {
"model": "ir.ui.view",
"id": "address_tree_view",
"field": [
{
"name": "name",
"#text": "address.tree.view"
},
{
"name": "model",
"#text": "address"
},
{
"name": "priority",
"eval": "16"
},
{
"name": "arch",
"type": "xml",
"tree": {
"string": "Address",
"field": [
{
"name": "text_address"
},
{
"name": "address_line1"
},
{
"name": "country_id"
},
{
"name": "state_id"
},
{
"name": "address_district"
},
{
"name": "address_city"
},
{
"name": "address_postal_code"
}
]
}
}
]
}
}
PS: I have used the online converters but, I don't want to do that over here.
Use dicttoxml to convert JSON directly to XML
Installation
pip install dicttoxml
or
easy_install dicttoxml
In [2]: from json import loads
In [3]: from dicttoxml import dicttoxml
In [4]: json_obj = '{"main" : {"aaa" : "10", "bbb" : [1,2,3]}}'
In [5]: xml = dicttoxml(loads(json_obj))
In [6]: print(xml)
<?xml version="1.0" encoding="UTF-8" ?><root><main type="dict"><aaa type="str">10</aaa><bbb type="list"><item type="int">1</item><item type="int">2</item><item type="int">3</item></bbb></main></root>
In [7]: xml = dicttoxml(loads(json_obj), attr_type=False)
In [8]: print(xml)
<?xml version="1.0" encoding="UTF-8" ?><root><main><aaa>10</aaa><bbb><item>1</item><item>2</item><item>3</item></bbb></main></root>
For more information check here
trydicttoxml libary
if you are retrieving data from a JSON file
import json
import dicttoxml
with open("file_name.json", "r") as j:
data = json.load(j);
xml = dicttoxml.dicttoxml(data)
print(xml)
Related
I am new to python and now want to convert a csv file into json file. Basically the json file is nested with dynamic structure, the structure will be defined using the csv header.
From csv input:
ID, Name, person_id/id_type, person_id/id_value,person_id_expiry_date,additional_info/0/name,additional_info/0/value,additional_info/1/name,additional_info/1/value,salary_info/details/0/grade,salary_info/details/0/payment,salary_info/details/0/amount,salary_info/details/1/next_promotion
1,Peter,PASSPORT,A452817,1-01-2055,Age,19,Gender,M,Manager,Monthly,8956.23,unknown
2,Jane,PASSPORT,B859804,2-01-2035,Age,38,Gender,F,Worker, Monthly,125980.1,unknown
To json output:
[
{
"ID": 1,
"Name": "Peter",
"person_id": {
"id_type": "PASSPORT",
"id_value": "A452817"
},
"person_id_expiry_date": "1-01-2055",
"additional_info": [
{
"name": "Age",
"value": 19
},
{
"name": "Gender",
"value": "M"
}
],
"salary_info": {
"details": [
{
"grade": "Manager",
"payment": "Monthly",
"amount": 8956.23
},
{
"next_promotion": "unknown"
}
]
}
},
{
"ID": 2,
"Name": "Jane",
"person_id": {
"id_type": "PASSPORT",
"id_value": "B859804"
},
"person_id_expiry_date": "2-01-2035",
"additional_info": [
{
"name": "Age",
"value": 38
},
{
"name": "Gender",
"value": "F"
}
],
"salary_info": {
"details": [
{
"grade": "Worker",
"payment": " Monthly",
"amount": 125980.1
},
{
"next_promotion": "unknown"
}
]
}
}
]
Is this something can be done by the existing pandas API or I have to write lots of complex codes to dynamically construct the json object? Thanks.
How to convert the complex Json format to python? I feel difficulty in converting the attached complex json to python object and I have to validate this data later against the DB.
Json:
{
"namespace":"Data.Datapoint",
"type":"record",
"name":"Blood Donar",
"fields":[
{
"name":"id",
"type":"int"
},
{
"name":"donor_number",
"type":"string"
},
{
"name":"birth_date",
"type":{
"type":"int",
"logicalType":"date"
},
"doc":"Birth Date"
},
{
"name":"height",
"type":[
"int",
"null"
],
"doc":"Height"
},
{
"name":"applicant_ts",
"type":[
{
"type":"long",
"logicalType":"timestamp-millis"
},
"null"
],
"doc":"Creation Timestamp"
},
{
"name":"arm_preference_ind",
"type":[
"string",
"null"
],
"doc":"Arm Preference; Selection from list"
},
{
"name":"abo_ind",
"type":[
"string",
"null"
],
"doc":"Blood Type/ABO"
},
{
"name":"vein_grading_ind",
"type":[
"string",
"null"
],
"doc":"Vein Grade"
}
]
}
import json
data = '''
{ "namespace": "Data.Datapoint", "type": "record", "name": "Blood Donar", "fields": [ { "name": "id", "type": "int" }, { "name": "donor_number", "type": "string" }, { "name": "birth_date", "type": { "type": "int", "logicalType": "date" }, "doc": "Birth Date" }, { "name": "height", "type": [ "int", "null" ], "doc": "Height" }, { "name": "applicant_ts", "type": [ { "type": "long", "logicalType": "timestamp-millis" }, "null" ], "doc": "Creation Timestamp" }, { "name": "arm_preference_ind", "type": [ "string", "null" ], "doc": "Arm Preference; Selection from list" }, { "name": "abo_ind", "type": [ "string", "null" ], "doc": "Blood Type/ABO" }, { "name": "vein_grading_ind", "type": [ "string", "null" ], "doc": "Vein Grade" } ] }
'''
json_data = json.loads(data)
json_data is your python dict obj.
if you want json data from web you can try this
import json
import requests
response = requests.get("https://jsonplaceholder.typicode.com/todos")
todos = json.loads(response.text)
I need to update (CRUD) a nested JSON file using Python. To be able to call python function(s)(to update/delete/create) entires and write it back to the json file.
Here is a sample file.
I am looking at the remap library but not sure if this will work.
{
"groups": [
{
"name": "group1",
"properties": [
{
"name": "Test-Key-String",
"value": {
"type": "String",
"encoding": "utf-8",
"data": "value1"
}
},
{
"name": "Test-Key-Integer",
"value": {
"type": "Integer",
"data": 1000
}
}
],
"groups": [
{
"name": "group-child",
"properties": [
{
"name": "Test-Key-String",
"value": {
"type": "String",
"encoding": "utf-8",
"data": "value1"
}
},
{
"name": "Test-Key-Integer",
"value": {
"type": "Integer",
"data": 1000
}
}
]
}
]
},
{
"name": "group2",
"properties": [
{
"name": "Test-Key2-String",
"value": {
"type": "String",
"encoding": "utf-8",
"data": "value2"
}
}
]
}
]
}
I feel like I'm missing something in your question. In any event, what I understand is that you want to read a json file, edit the data as a python object, then write it back out with the updated data?
Read the json file:
import json
with open("data.json") as f:
data = json.load(f)
That creates a dictionary (given the format you've given) that you can manipulate however you want. Assuming you want to write it out:
with open("data.json","w") as f:
json.dump(data,f)
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']
I post some JSON to a view. I want to now parse the data and add it to my database.
I need to get the properties name and theme and iterate over the array pages. My JSON is as follows:
{
"name": "xaAX",
"logo": "",
"theme": "b",
"fullSiteLink": "http://www.hello.com",
"pages": [
{
"id": "1364484811734",
"name": "Page Name",
"type": "basic",
"components": {
"img": "",
"text": ""
}
},
{
"name": "Twitter",
"type": "twitter",
"components": {
"twitter": {
"twitter-username": "zzzz"
}
}
}
]
}
Here is what I have so far:
def smartpage_create_ajax(request):
if request.POST:
# get stuff and loop over each page?
return HttpResponse('done')
python provides json to encode/decode json
import json
json_dict = json.loads(request.POST['your_json_data'])
json_dict['pages']
[
{
"id": "1364484811734",
"name": "Page Name",
"type": "basic",
"components": {
"img": "",
"text": ""
}
},
{
"name": "Twitter",
"type": "twitter",
"components": {
"twitter": {
"twitter-username": "zzzz"
}
}
},
}
]