Build tree data model.
Project description
Tree builder
treebuilder
is a python package which helps you to build a tree data model like XML or JSON configuration files.
All operations of insert/update are vectorized.
The xpath
syntax is supported to select sub set trees recursively where your operations will apply.
Prerequisites
- python 3.6 or higher
Installation
pip install treebuilder
Features
Make a simple tree
In this example we want to build a simple tree which represents a breakfast menu. The following code shows you the long way to proceed (non vectorized). In the next section we will see how to vectorize it.
import treebuilder as tb
builder = tb.TreeBuilder()
builder.set('/breakfast_menu/food[name="Belgian Wafles"]/name', 'Belgian Wafles')
builder.set('/breakfast_menu/food[name="Belgian Wafles"]/price', '$5.95')
builder.set('/breakfast_menu/food[name="Belgian Wafles"]/calories', '650')
builder.set('/breakfast_menu/food[name="French Toast"]/name', 'French Toast')
builder.set('/breakfast_menu/food[name="French Toast"]/price', '$4.50')
builder.set('/breakfast_menu/food[name="French Toast"]/calories', '650')
builder.set('/breakfast_menu/food[name="Homestyle Breakfast"]/name', 'Homestyle Breakfast')
builder.set('/breakfast_menu/food[name="Homestyle Breakfast"]/price', '$6.95')
builder.set('/breakfast_menu/food[name="Homestyle Breakfast"]/calories', '950')
builder.to_xml('output.xml')
The output is stored here into a xml file named output.xml
. And looks like:
<breakfast_menu>
<food>
<name>Belgian Wafles</name>
<price>$5.95</price>
<calories>650</calories>
</food>
<food>
<name>French Toast</name>
<price>$4.50</price>
<calories>650</calories>
</food>
<food>
<name>Homestyle Breakfast</name>
<price>$6.95</price>
<calories>950</calories>
</food>
</breakfast_menu>
All the following examples assume that your output is an xml.
Reduce the code
We can produce the same result with the less code by using vectorization:
builder = tb.TreeBuilder()
names = ['Belgian Wafles', 'French Toast', 'Homestyle Breakfast']
builder.expand('/breakfast_menu/food/name', names)
builder.nest('/breakfast_menu/food/price', ['$5.95', '$4.50', '$6.95'])
builder.nest('/breakfast_menu/food/calories', ['650', '650', '950'])
Insert a property
Imagine that we want to add a discount on our food about 5%
by default.
builder.set('/breakfast_menu/food/discount', '5%')
Output:
<breakfast_menu>
<food>
<name>Belgian Wafles</name>
<price>$5.95</price>
<calories>650</calories>
<discount>5%</discount>
</food>
<food>
<name>French Toast</name>
<price>$4.50</price>
<calories>650</calories>
<discount>5%</discount>
</food>
<food>
<name>Homestyle Breakfast</name>
<price>$6.95</price>
<calories>950</calories>
<discount>5%</discount>
</food>
</breakfast_menu>
Update a sub set tree
To keep our clients healthy, we prefer providing a better discount for the food with less calories.
For example we want to apply a 7%
discount for all foods with 650 calories.
builder.set('/breakfast_menu/food[calories=650]/discount', '7%')
Output:
<breakfast_menu>
<food>
<name>Belgian Wafles</name>
<price>$5.95</price>
<calories>650</calories>
<discount>7%</discount>
</food>
<food>
<name>French Toast</name>
<price>$4.50</price>
<calories>650</calories>
<discount>7%</discount>
</food>
<food>
<name>Homestyle Breakfast</name>
<price>$6.95</price>
<calories>950</calories>
<discount>5%</discount>
</food>
</breakfast_menu>
Expand
The expand method allows you to extract a sub set of leaves in your tree then expands it with a list of values.
This method provided on the TreeBuilder
class is based on a generalized function named expand
which is also exposed in the package.
This function takes 3 parameters:
source
: The source list to expand. Each element is represented by a dictionary of key values pair.entry
: The entry key where the values are stored (Inserted or Updated).values
: A list of values to set on the entry key.
In the TreeBuilder
class the source list correspond to the selected leaves in the tree.
3 cases can happen during expansion:
-
If the length of
values
is longer than thesource
list, thesource
list expands up to thevalues
length. For each new element created in thesource
, we do a clone of an existing element by keeping the source's order and by using a ring logic for overlaps. -
If the length of
values
andsource
list are the same, this is a perfect match and the values are set one by one to each element of thesource
list. No expansion happens here on both list, only on the entry of each element if it doesn't exist (insert), an update otherwise. -
If the length of
values
is smaller than thesource
list, thevalues
are applied one by one to each source's element by using a ring logic onvalues
.
A ring logic means that when the end of the list is reached the iterator goes back to the first element then continue.
Examples
The easiest example is at the begining when the tree is empty. So we create 1 leaf by value.
Here len(values) > len(source)
builder = tb.TreeBuilder()
builder.expand('bookstore/book/title', ['Sapiens', 'Harry Potter'])
Output:
<bookstore>
<book>
<title>Sapiens</title>
</book>
<book>
<title>Harry Potter</title>
</book>
</bookstore>
Now we can give a price to each book:
Here len(values) == len(source)
builder.expand('bookstore/book/price', ['$39.95', '$29.99'])
Output:
<bookstore>
<book>
<title>Sapiens</title>
<price>$39.95</price>
</book>
<book>
<title>Harry Potter</title>
<price>$29.99</price>
</book>
</bookstore>
We test the last case by setting a discount on all books.
Here len(values) < len(source)
builder.expand('bookstore/book/discount', ['5%'])
Output:
<bookstore>
<book>
<title>Sapiens</title>
<price>$39.95</price>
<discount>5%</discount>
</book>
<book>
<title>Harry Potter</title>
<price>$29.99</price>
<discount>5%</discount>
</book>
</bookstore>
Cross
The cross
method allows you to select a tree sub set then expands if by crossing with a list of values
.
The result of this operation gives you an expansion with a length ofS x V
where S
is the number of your selected leaves in the tree and V
the number of values
.
This method provided on the TreeBuilder
class is based on a generalized function named cross
which is also exposed in the package.
This function takes 3 parameters:
source
: The source list to expand. Each element is represented by a dictionary of key values pair.entry
: The entry key where the values are stored (Insert or update).values
: A list of values to set on the entry key.
In the TreeBuilder
class the source list correspond to the selected leaves in the tree.
Examples
Imagine we have a bookstore and we want to duplicate our books with 2 different copies.
An identifier should be provided for each copy, let's say 1
and 2
.
builder.cross('bookstore/book/copy_id', [1, 2])
Output:
<bookstore>
<book>
<title>Sapiens</title>
...
<copy_id>1</copy_id>
</book>
<book>
<title>Harry Potter</title>
...
<copy_id>1</copy_id>
</book>
<book>
<title>Sapiens</title>
...
<copy_id>2</copy_id>
</book>
<book>
<title>Harry Potter</title>
...
<copy_id>2</copy_id>
</book>
</bookstore>
Nest
The nest
method is based on the expand
method. It guaranties that your list of values
won't be longer than the source
list.
If the case happen the method truncates the input values
list as values[0:len(source)]
Set
The set
method is based on the expand
method but it takes a single value which is wrapped into a list then given to the expand
method.
It is equivallent than calling expand
with a values
list of 1 element.
XML attributes
The syntax is based on the xpath
convention, so the character @
is used to distinct an attribute from a leaf.
In the underlying Dict/List data structure, attributes are stored in a dictionary under the key __ATTRIBUTES__
of the node which own them.
This key is defined as a constant in the package if you need to use it: from treebuilder.constant inport ATTRIBUTES
.
How to set an attribute
builder.set('bookstore/book/@lang', 'en')
Output:
<bookstore>
<book lang="en">
<title>Sapiens</title>
...
</book>
<book lang="en">
<title>Harry Potter</title>
...
</book>
</bookstore>
Examples
Build a book store tree
We create a book store with 2 books and 2 copies of each. We also setup the lang as an attribute and a price for each of them. It takes only 4 lines of code to acheive as follow:
import treebuilder as tb
builder = tb.TreeBuilder()
# Create 2 books in a bookstore
builder.expand('/bookstore/book/title', ['Sapiens', 'Harry Potter'])
# Set the lang to all books as attribute
builder.set('/bookstore/book/@lang', 'en')
# Set the price for each book
builder.nest('/bookstore/book/price', [39.95, 29.99])
# Duplicate each book to make 2 copies
builder.cross('/bookstore/book/copy_number', [1, 2])
builder.to_xml('bookstore.xml')
Output:
<bookstore>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>1</copy_number>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>1</copy_number>
</book>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>2</copy_number>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>2</copy_number>
</book>
</bookstore>
Set values with filter
We want now add the author for each book. Each book has its own author so we need to select a sub tree to apply the author.
builder.set('/bookstore/book[title=\'Harry Potter\']/author', 'J K. Rowling')
builder.set('/bookstore/book[title=Sapiens]/author', 'Y N. Harari')
Output
<bookstore>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>1</copy_number>
<author>Y N. Harari</author>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>1</copy_number>
<author>J K. Rowling</author>
</book>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>2</copy_number>
<author>Y N. Harari</author>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>2</copy_number>
<author>J K. Rowling</author>
</book>
</bookstore>
Set values in distinct sub trees
We want add a details section for a book where we will store addtional informations like the publish year.
builder.set('/bookstore/book[title=\'Harry Potter\']/details/published_year', '2005')
builder.set('/bookstore/book[title=Sapiens]/details/published_year', '2014')
Output
<bookstore>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>1</copy_number>
<author>Y N. Harari</author>
<details>
<published_year>2014</published_year>
</details>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>1</copy_number>
<author>J K. Rowling</author>
<details>
<published_year>2005</published_year>
</details>
</book>
<book lang="en">
<title>Sapiens</title>
<price>39.95</price>
<copy_number>2</copy_number>
<author>Y N. Harari</author>
<details>
<published_year>2014</published_year>
</details>
</book>
<book lang="en">
<title>Harry Potter</title>
<price>29.99</price>
<copy_number>2</copy_number>
<author>J K. Rowling</author>
<details>
<published_year>2005</published_year>
</details>
</book>
</bookstore>
Expand values for distinct sub tree
Now we want to set the list of calient which has borrowed books Let's that there is 5 people which borrow Spaiens and 3 Harry Potter
builder.expand('/bookstore/book[title="Harry Potter"]/borrowers/borrower/name', [f'Client_{i+1}' for i in range(3)])
builder.expand('/bookstore/book[title=Sapiens]/borrowers/borrower/name', [f'Client_{i+1}' for i in range(5)])
Output
<bookstore>
<book lang="en">
<title>Sapiens</title>
<copy_number>1</copy_number>
...
<borrowers>
<borrower><name>Client_1</name></borrower>
<borrower><name>Client_3</name></borrower>
<borrower><name>Client_5</name></borrower>
</borrowers>
</book>
<book lang="en">
<title>Harry Potter</title>
<copy_number>1</copy_number>
...
<borrowers>
<borrower><name>Client_1</name></borrower>
<borrower><name>Client_3</name></borrower>
</borrowers>
</book>
<book lang="en">
<title>Sapiens</title>
<copy_number>2</copy_number>
...
<borrowers>
<borrower><name>Client_2</name></borrower>
<borrower><name>Client_4</name></borrower>
</borrowers>
</book>
<book lang="en">
<title>Harry Potter</title>
<copy_number>2</copy_number>
...
<borrowers>
<borrower><name>Client_2</name></borrower>
</borrowers>
</book>
</bookstore>
Contributing
Issue tracker: https://github.com/fdieulle/treebuilder/issues
If you want to checkout the project and propose your own contribution, you will need to setup the project with the following steps:
Create a virtual environment:
python -m venv venv
Activate your virtual environment:
venv/Scripts/activate
Install package dependencies
pip install -r requirements.txt
License
This project is open source under the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file treebuilder-0.11.tar.gz
.
File metadata
- Download URL: treebuilder-0.11.tar.gz
- Upload date:
- Size: 21.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bea8fe2878ba805c00fc141f5ddf4d9aea146bc9e8a421dc07970a4f46963d4d |
|
MD5 | d887ca1a80318ef8d03188fd9491d3c2 |
|
BLAKE2b-256 | fc9859db4f0701479e671f8425053c4ed84f96c374433bcb5a7d04786f28238a |
File details
Details for the file treebuilder-0.11-py3-none-any.whl
.
File metadata
- Download URL: treebuilder-0.11-py3-none-any.whl
- Upload date:
- Size: 20.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b29a34ff2003e1fe46302acbef7bda15e7e222a4394f11ab38facdacba272692 |
|
MD5 | 38ee6cde857f65942df73e4702b27961 |
|
BLAKE2b-256 | 151e0c0e817bcc1971d59344ce74259bce4fbfeda8bd64b5d75e9f3c233ddab7 |