Serializing XML¶
The XML version of the typed dictionary might look like this:
from datetime import datetime
from typing import List, Optional, TypedDict, Union
from typing_extensions import Annotated
from jetblack_serialization.xml import XMLEntity, XMLAttribute
class Book(TypedDict, total=False):
book_id: Annotated[int, XMLAttribute("bookId")]
title: str
author: str
publication_date: datetime
keywords: Annotated[List[Annotated[str, XMLEntity("Keyword")]], XMLEntity("Keywords")]
phrases: List[str]
age: Optional[Union[datetime, int]]
pages: Optional[int]
Note we have introduced some annotations to control the serialization. For XML we have used pascal-case to serialized the keys and snake-case for deserialization.
Create some data:
book: Book = {
'author': 'Chairman Mao',
'book_id': 42,
'title': 'Little Red Book',
'publication_date': datetime(1973, 1, 1, 21, 52, 13),
'keywords': ['Revolution', 'Communism'],
'phrases': [
'Revolutionary wars are inevitable in class society',
'War is the continuation of politics'
],
'age': 24,
'pages': None
}
Serializing¶
To serialize we need to provide the containing tag Book
:
from stringcase import pascalcase, snakecase
from jetblack_serialization import SerializerConfig
from jetblack_serialization.xml import serialize
text = serialize(
book,
Annotated[Book, XMLEntity("Book")],
SerializerConfig(pascalcase, snakecase)
)
print(text)
Producing:
<Book bookId="42">
<Title>Little Red Book</Title>
<Author>Chairman Mao</Author>
<PublicationDate>1973-01-01T21:52:13.00Z</PublicationDate>
<Keywords>
<Keyword>Revolution</Keyword>
<Keyword>Communism</Keyword>
</Keywords>
<Phrase>Revolutionary wars are inevitable in class society</Phrase>
<Phrase>War is the continuation of politics</Phrase>
<Age>24</Age>
</Book>'
The annotations are more elaborate here. However, much of the typed dictionary requires no annotation.
First we needed the outer document wrapper XMLEntity("Book")
.
Next we annotated the book_id
to be an XMLAttribute
.
Finally we annotated the two lists differently. The keywords
list used
a nested structure, which we indicated by giving the list a different
XMLEntity
tag to the list items. For the phrases we used the default
in-line behaviour.
Deserializing¶
We can deserialize the XML as follows:
from stringcase import pascalcase, snakecase
from jetblack_serialization import SerializerConfig
from jetblack_serialization.xml import deserialize
dct = deserialize(
text,
Annotated[Book, XMLEntity("Book")],
SerializerConfig(pascalcase, snakecase)
)