The wolfsoftware.data-converter
module provides functionalities for converting data between JSON, XML, and YAML formats.
It includes methods to convert dictionaries to and from these formats, making it a versatile tool for data transformation in Python applications.
First, install the package using pip:
pip install wolfsoftware.data-converter
To use the DataConverter
class, import it from the wolfsoftware.data_converter
package:
from wolfsoftware.data_converter import DataConverter, DataConverterError
The DataConverter
class requires data and its type as parameters during initialization. Supported data types are json
, xml
, dict
, and yaml
.
# JSON data example
json_data = '{"name": "John", "age": 30}'
converter = DataConverter(json_data, data_type='json')
# XML data example
xml_data = '<person><name>John</name><age>30</age></person>'
converter = DataConverter(xml_data, data_type='xml')
# Dictionary data example
dict_data = {'name': 'John', 'age': 30}
converter = DataConverter(dict_data, data_type='dict')
# YAML data example
yaml_data = 'name: John\nage: 30\n'
converter = DataConverter(yaml_data, data_type='yaml')
Convert the data to JSON format using the to_json
method:
json_output = converter.to_json()
print(json_output)
Convert the data to XML format using the to_xml
method:
xml_output = converter.to_xml()
print(xml_output)
Convert the data to YAML format using the to_yaml
method:
yaml_output = converter.to_yaml()
print(yaml_output)
Here's a complete example demonstrating how to convert a dictionary to JSON, XML, and YAML formats:
from wolfsoftware.data_converter import DataConverter, DataConverterError
# Dictionary data
data = {'name': 'John', 'age': 30}
# Initialize DataConverter
converter = DataConverter(data, data_type='dict')
# Convert to JSON
json_output = converter.to_json()
print("JSON Output:")
print(json_output)
# Convert to XML
xml_output = converter.to_xml()
print("XML Output:")
print(xml_output)
# Convert to YAML
yaml_output = converter.to_yaml()
print("YAML Output:")
print(yaml_output)
If an unsupported data type is provided, a DataConverterError
will be raised:
try:
converter = DataConverter(data, data_type='unsupported')
except DataConverterError as e:
print(f"Error: {e}")