sqlalchemy_mptt | SQLAlchemy nested sets mixin | SQL Database library
kandi X-RAY | sqlalchemy_mptt Summary
kandi X-RAY | sqlalchemy_mptt Summary
sqlalchemy_mptt is a Python library typically used in Database, SQL Database applications. sqlalchemy_mptt has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sqlalchemy_mptt' or download it from GitHub, PyPI.
SQLAlchemy nested sets mixin (MPTT)
SQLAlchemy nested sets mixin (MPTT)
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Quality
Security
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Support
sqlalchemy_mptt has a low active ecosystem.
It has 170 star(s) with 25 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 38 have been closed. On average issues are closed in 24 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sqlalchemy_mptt is 0.2.5
Quality
sqlalchemy_mptt has no bugs reported.
Security
sqlalchemy_mptt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sqlalchemy_mptt is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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sqlalchemy_mptt releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed sqlalchemy_mptt and discovered the below as its top functions. This is intended to give you an instant insight into sqlalchemy_mptt implemented functionality, and help decide if they suit your requirements.
- Expire all instances from the database
- Expire all children for the given tree
- Remove an object from the set
- Get the parent value of an instance
- Return a QuerySet containing the nodes of the query
- Base query
- Return whether this node is an ancestor of other
- Base query object
- Register a new instance
- Return the default level of the SQLAlchemy model
- Insert subtree into table
- Execute mptt before update
- Generate the parent id for the model
- Return the primary key name
- Return the column s primary key
- Called when an instance is deleted
- Update tree before deletion
- Return a tree table from mapper
- Register before insertion
- Updates the tree before insertion
- Return relationship between parent and parent
- Register event handlers
- Read a file
Get all kandi verified functions for this library.
sqlalchemy_mptt Key Features
No Key Features are available at this moment for sqlalchemy_mptt.
sqlalchemy_mptt Examples and Code Snippets
No Code Snippets are available at this moment for sqlalchemy_mptt.
Community Discussions
Trending Discussions on sqlalchemy_mptt
QUESTION
Hot to get all items from sqlalchemy_mptt Tree
Asked 2018-Aug-09 at 12:10
I'm using sqlalchemy_mptt to create tree structure. My models are defined as follows:
...ANSWER
Answered 2018-Aug-09 at 12:10You are right - you can use drilldown_tree()
+ recursion. Here is example:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sqlalchemy_mptt
You can install using 'pip install sqlalchemy_mptt' or download it from GitHub, PyPI.
You can use sqlalchemy_mptt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use sqlalchemy_mptt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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