I am in the process of doing a conversion of JSON to XML using Python.
I'm giving a presentation of how by starting with one file, CSV, you can convert it through multiple formats in a chain. So, CSV to JSON, that JSON to XML, XML to the next file type in the chain, etc, back to CSV.
I obtained a public domain CSV file from Kaggle (https://www.kaggle.com/canggih/anime-data-score-staff-synopsis-and-genre), then converted it to JSON.
From JSON, I am trying to convert to XML and write to an outfile.
I converted the CSV to JSON using this (no formatting, just a straight conversion):
#This should convert CSV to JSON
import json, os
import pandas as pd
import csv
df = pd.read_csv('dataanime.csv')
df.to_json(r'sassyg_data_Anime.json')
Then, I created my JSON to XML file:
#With help from instructor and CodeSpeedy
#https://www.codespeedy.com/how-to-convert-json-to-xml-using-python/
#Import libraries
import json as j
import xml.etree.ElementTree as et
#load in the json file
with open("sassyg_data_Anime.json") as json_file_format:
d = j.load(json_file_format)
#create the main container element for the entire XML file
r = et.Element("Work")
#creates the subelements for each part of the json file
et.SubElement(r,"Title").text = d["Title"]
et.SubElement(r,"Type").text = d["Type"]
et.SubElement(r,"Episodes").text = d["Episodes"]
et.SubElement(r,"Status").text = d["Status"]
et.SubElement(r,"Start airing").text = str(d["Start airing"])
et.SubElement(r,"End airing").text = str(d["End airing"])
et.SubElement(r,"Starting season").text = d["Starting season"]
et.SubElement(r,"Broadcast time").text = d["Broadcast time"]
et.SubElement(r,"Producers").text = d["Producers"]
et.SubElement(r,"Licensors").text = d["Licensors"]
et.SubElement(r,"Studios").text = d["Studios"]
et.SubElement(r,"Sources").text = d["Sources"]
et.SubElement(r,"Genres").text = d["Genres"]
et.SubElement(r,"Duration").text = str(d["Duration"])
et.SubElement(r,"Rating").text = d["Rating"]
et.SubElement(r,"Score").text = str(d["Score"])
et.SubElement(r,"Scored by").text = str(d["Scored by"])
et.SubElement(r,"Members").text = str(d["Members"])
et.SubElement(r,"Favorites").text = str(d["Favorites"])
et.SubElement(r,"Description").text = d["Description"]
#create the element tree/info for the write file
a = et.ElementTree(r)
#ERROR ERROR
#structure the output for xml via tostring rather than str
#Cannot write an ElementTree to file, errors out
#This was one solution I came up with, still errors out
a_xml_str = et.tostring(a)
print(a_xml_str)
#This might error out as well, I can't get the program to get to this point
#write file it should go to
outfile = open("json_to_xml.xml", 'w', encoding='utf-8')
outfile.write(a_xml_str)
outfile.close()
The error I get is:
Traceback (most recent call last):
File "F:\Data_Int_Final\Gardner_json_to_xml\convert_json_to_xml.py", line 44, in <module>
a_xml_str = et.tostring(a)
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\xml\etree\ElementTree.py", line 1109, in tostring
ElementTree(element).write(stream, encoding,
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\xml\etree\ElementTree.py", line 748, in write
serialize(write, self._root, qnames, namespaces,
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\xml\etree\ElementTree.py", line 873, in _serialize_xml
tag = elem.tag
AttributeError: 'ElementTree' object has no attribute 'tag'
This is the latest version of the code I've tried. Can anyone see a solution?
Update: I have two other ways to convert to the starting JSON file, would one of these be a better approach?
import json
import csv
def make_json(csvFilePath, jsonFilePath):
data = {}
with open(csvFilePath, encoding='utf-8') as csvf:
csvReader = csv.DictReader(csvf)
for rows in csvReader:
key = rows['Title']
data[key] = rows
with open(jsonFilePath, 'w', encoding='utf-8') as jsonf:
jsonf.write(json.dumps(data, indent=4))
csvFilePath = r'dataanime.csv'
jsonFilePath = r'dataAnime.json'
make_json(csvFilePath, jsonFilePath)
which errors out my XML conversion when I use this JSON file with it:
Traceback (most recent call last):
File "F:\Data_Int_Final\convert_json_to_xml.py", line 16, in <module>
et.SubElement(r,"Title").text = d["Title"]
KeyError: 'Title'
or:
import csv
import json
import time
def csv_to_json(csvFilePath, jsonFilePath):
jsonArray = []
#read csv file
with open(csvFilePath, encoding='utf-8') as csvf:
#load csv file data using csv library's dictionary reader
csvReader = csv.DictReader(csvf)
#convert each csv row into python dict
for row in csvReader:
#add this python dict to json array
jsonArray.append(row)
#convert python jsonArray to JSON String and write to file
with open(jsonFilePath, 'w', encoding='utf-8') as jsonf:
jsonString = json.dumps(jsonArray, indent=4)
jsonf.write(jsonString)
csvFilePath = r'dataanime.csv'
jsonFilePath = r'g_d_anime.json'
start = time.perf_counter()
csv_to_json(csvFilePath, jsonFilePath)
finish = time.perf_counter()
print(f"Conversion of all rows completed successfully in {finish - start:0.4f} seconds")
which errors out my XML conversion when I use this created JSON file with it:
Traceback (most recent call last):
File "F:\Data_Int_Final\convert_json_to_xml.py", line 16, in <module>
et.SubElement(r,"Title").text = d["Title"]
TypeError: list indices must be integers or slices, not str
CodePudding user response:
It's simpler to work with the CSV file and generate a XML file from that directly.
Try something like this:
import csv
import xml.etree.ElementTree as et
root = et.Element('WorksXML')
tree = et.ElementTree(root)
with open("dataanime.csv", "r", encoding="utf-8") as fin:
reader = csv.DictReader(fin)
for row in reader:
r = et.SubElement(root, "Work")
# iterate over each of the fields and add to the XML element
for field in reader.fieldnames:
et.SubElement(r, field.replace(' ', '_')).text = row[field]
with open("csv_to_xml.xml", 'wb') as fout:
tree.write(fout, xml_declaration=True, encoding='utf-8')
This generates an XML file with each "work" as a separate sub-element under the root element.
<?xml version="1.0" encoding="utf-8"?>
<WorksXML>
<Work>
<Title>Fullmetal Alchemist: Brotherhood</Title>
<Type>TV</Type>
<Episodes>64</Episodes>
<Status>Finished Airing</Status>
<Start_airing>4/5/2009</Start_airing>
<End_airing>7/4/2010</End_airing>
<Starting_season>Spring</Starting_season>
...
For the CSV to JSON conversion, the first approach creates a dictionary with titles as keys and the second approach creates an array with each item an object with all the attributes.
If any of the works have a duplicate title then the first approach will overwrite the duplicate entries. If not then it's just a matter of how you want to access the data in the JSON file as a dictionary or a list. If you want to generate XML from the JSON file then the second approach with an array will be the better option.
To convert the array-based JSON file to XML then this will do the job.
import json
import xml.etree.ElementTree as ET
def json_to_xml(jsonFilePath, xmlFilePath):
root = ET.Element('WorksXML')
tree = ET.ElementTree(root)
with open(jsonFilePath, "r", encoding="utf-8") as fin:
jdata = json.load(fin)
for obj in jdata:
r = ET.SubElement(root, "Work")
for key, value in obj.items():
ET.SubElement(r, key.replace(' ', '_')).text = value
with open(xmlFilePath, 'wb') as fout:
tree.write(fout, xml_declaration=True, encoding='utf-8')
jsonFilePath = 'g_d_anime.json'
xmlFilePath = 'g_d_anime.xml'
json_to_xml(jsonFilePath, xmlFilePath)