Skip to main content

SQLAlchemy MPTT mixins (Nested Sets)

Project description

Build Status Coverage Status Stories in progress PyPI Bountysource

Library for implementing Modified Preorder Tree Traversal with your SQLAlchemy Models and working with trees of Model instances, like django-mptt. Docs http://sqlalchemy-mptt.readthedocs.org/

Nested sets traversal

The nested set model is a particular technique for representing nested sets (also known as trees or hierarchies) in relational databases.

Installing

Install from github:

pip install git+http://github.com/ITCase/sqlalchemy_mptt.git

PyPi:

pip install sqlalchemy_mptt

Source:

python setup.py install

Usage

Add mixin to model

from sqlalchemy import Column, Integer, Boolean
from sqlalchemy.ext.declarative import declarative_base

from sqlalchemy_mptt.mixins import BaseNestedSets

Base = declarative_base()


class Tree(Base, BaseNestedSets):
    __tablename__ = "tree"

    id = Column(Integer, primary_key=True)
    visible = Column(Boolean)

    def __repr__(self):
        return "<Node (%s)>" % self.id

Tree.register_tree()

Now you can add, move and delete obj

Insert node

node = Tree(parent_id=6)
session.add(node)
level           Nested sets example
1                    1(1)22
        _______________|___________________
       |               |                   |
2    2(2)5           6(4)11             12(7)21
       |               ^                   ^
3    3(3)4       7(5)8   9(6)10    13(8)16   17(10)20
                                      |          |
4                                  14(9)15   18(11)19

level     Insert node with parent_id == 6
1                    1(1)24
        _______________|_________________
       |               |                 |
2    2(2)5           6(4)13           14(7)23
       |           ____|____          ___|____
       |          |         |        |        |
3    3(3)4      7(5)8    9(6)12  15(8)18   19(10)22
                           |        |         |
4                      10(23)11  16(9)17  20(11)21

Delete node

node = session.query(Tree).filter(Tree.id == 4).one()
session.delete(node)
level           Nested sets example
1                    1(1)22
        _______________|___________________
       |               |                   |
2    2(2)5           6(4)11             12(7)21
       |               ^                   ^
3    3(3)4       7(5)8   9(6)10    13(8)16   17(10)20
                                      |          |
4                                  14(9)15   18(11)19

level         Delete node == 4
1                    1(1)16
        _______________|_____
       |                     |
2    2(2)5                 6(7)15
       |                     ^
3    3(3)4            7(8)10   11(10)14
                        |          |
4                     8(9)9    12(11)13

Update node

node = session.query(Tree).filter(Tree.id == 8).one()
node.parent_id = 5
session.add(node)
level           Nested sets example
    1                    1(1)22
            _______________|___________________
           |               |                   |
    2    2(2)5           6(4)11             12(7)21
           |               ^                   ^
    3    3(3)4       7(5)8   9(6)10    13(8)16   17(10)20
                                          |          |
    4                                  14(9)15   18(11)19

level               Move 8 - > 5
    1                     1(1)22
             _______________|__________________
            |               |                  |
    2     2(2)5           6(4)15            16(7)21
            |               ^                  |
    3     3(3)4      7(5)12   13(6)14      17(10)20
                       |                        |
    4                8(8)11                18(11)19
                       |
    5                9(9)10

Move node (support multitree)

Nested sets multitree

Nested sets multitree

Move inside

node = session.query(Tree).filter(Tree.id == 4).one()
node.move_inside("15")
         4 -> 15
level           Nested sets tree1
1                    1(1)16
        _______________|_____________________
       |                                     |
2    2(2)5                                 6(7)15
       |                                     ^
3    3(3)4                            7(8)10   11(10)14
                                        |          |
4                                     8(9)9    12(11)13

level           Nested sets tree2
1                     1(12)28
         ________________|_______________________
        |                |                       |
2    2(13)5            6(15)17                18(18)27
       |                 ^                        ^
3    3(14)4    7(4)12 13(16)14  15(17)16  19(19)22  23(21)26
                 ^                            |         |
4          8(5)9  10(6)11                 20(20)21  24(22)25

Move after

node = session.query(Tree).filter(Tree.id == 8).one()
node.move_after("5")
level           Nested sets example
     1                    1(1)22
             _______________|___________________
            |               |                   |
     2    2(2)5           6(4)11             12(7)21
            |               ^                   ^
     3    3(3)4       7(5)8   9(6)10    13(8)16   17(10)20
                                           |          |
     4                                  14(9)15   18(11)19

 level               Move 8 after 5
     1                     1(1)22
              _______________|__________________
             |               |                  |
     2     2(2)5           6(4)15            16(7)21
             |               ^                  |
     3     3(3)4    7(5)8  9(8)12  13(6)14   17(10)20
                             |                  |
     4                    10(9)11            18(11)19

Move to top level

node = session.query(Tree).filter(Tree.id == 15).one()
node.move_after("1")
level           tree_id = 1
1                    1(1)22
        _______________|___________________
       |               |                   |
2    2(2)5           6(4)11             12(7)21
       |               ^                   ^
3    3(3)4       7(5)8   9(6)10    13(8)16   17(10)20
                                      |          |
4                                  14(9)15   18(11)19

level           tree_id = 2
1                     1(15)6
                         ^
2                 2(16)3   4(17)5

level           tree_id = 3
1                    1(12)16
         _______________|
        |               |
2    2(13)5          6(18)15
        |               ^
3    3(14)4     7(19)10   11(21)14
                   |          |
4               8(20)9    12(22)13

Support and Development

To report bugs, use the issue tracker or waffle board.

We welcome any contribution: suggestions, ideas, commits with new futures, bug fixes, refactoring, docs, tests, translations etc

If you have question, contact me sacrud@uralbash.ru or IRC channel #sacrud

License

The project is licensed under the MIT license.

0.1.9 (2015-09-24)

  • add option remove to sqlalchemy.events.TreesManager.register_mapper

0.1.8 (2015-09-14)

  • add method _base_query_obj

0.1.7 (2015-08-18)

  • add method path_to_root (see #46)

  • add data integrity tests

0.1.6 (2015-07-03)

  • fix bug with get_tree when no rows in database.

0.1.5 (2015-06-25)

  • Add drilldown_tree method (see #41)

  • Add custom query atribute to get_tree method

0.1.4 (2015-06-19)

  • delete method get_pk_with_class_name

Bug Fixes

  • fix _get_tree_table function for inheritance models

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlalchemy_mptt-0.1.9.post0.tar.gz (11.4 kB view details)

Uploaded Source

File details

Details for the file sqlalchemy_mptt-0.1.9.post0.tar.gz.

File metadata

File hashes

Hashes for sqlalchemy_mptt-0.1.9.post0.tar.gz
Algorithm Hash digest
SHA256 078216423b755907484a9df0b5820cd74a510d37e0a02923ab6b28778e12c707
MD5 3833a52424eb63bd182759b8ace1a478
BLAKE2b-256 5732dc524f2ceb656a68c67a7a8acba87095d131f1fa98387e58ae400381040d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page