Skip to main content

draup_django

Downloads

Delete, Update functionality for normalised models

Use-Case :

  • Draup Django provide stateful delete, update functionality at ORM(object relational mapping)level.

Table of Content :

Stateful Delete/Update

  • Below are functions inorder to get the stateful delete/update

Get Affected Objects

  • List out all dependent objects(Prompt-Messages).
  • getAffectedObjects takes input dict with id as key and reference of model.
Sample Input : ({'id':1},model_reference)
Output : Error_list(list),prompt messages(list)

Delete Object

  • Delete object with all the dependent objects.
  • deleteObject takes input dict with id and force_delete as key and reference of model.
Sample Input : ({'id':1,'force_delete':True},model_reference)
Output : Error_list(list)

Update Object

  • Transferring Object dependencies from one object to another object.
  • updateObjectDependencies takes input source,destination objects.
Sample Input : (source,destination)
Output : Error_list(list)

Installation

  • Use Pip to install the module

    pip install draup-django
    

Usage :

  • Sample model :

      class parent(models.Model):
        name = models.CharField(max_length=100)
    
      class child(models.Model):
        parent = models.ForeignKey(parent, on_delete=models.CASCADE) 
        name = models.CharField(max_length=100)
    
  • Parent Table :

    id Name
    1 Alice
    2 Tom
  • Child Table :

    id Name parent_id
    1 Bob 1
    2 Jack 2
  • Code :

     from draup_django import utility
     m = models.parent
    
     """
     Get Prompt Message
     """
    
     error_list,prompt_message = utility.getAffectedObjects({'id':1},m)
    
     """
     Deletion with all dependent objects
     """
     error_list = utility.deleteObject({'id':1,'force_delete':True},m)
    
     """
     Transferring Object dependencies
     """
    
     source = m.objects.filter(id=1).first()
     destination = m.objects.filter(id=2).first()
     error_list = utility.updateObjectDependencies(source,destination)
    
  • Output : Prompt Message of getAffectedObjects function

    [{'message': 'This object has been used in child 1 times.', 'model_name': 'child', 'Parent models': '', 'count': 1}] 
    
  • Note :

    • Every function returns the error_list, and hence only the operation is successful only if it is empty.

    • According to above Child/Parent Table updateObjectDependencies function will transafer object dependency from id:1 to id:2 so parent_id of Bob will become 2.

    • Updated Child Table:

      id Name parent_id
      1 Bob 2
      2 Jack 2

Limitation :

  • updateObjectDependencies will not work in case of unique constraint,one to one field in model.
  • Please feel free to share your thoughts and feedback at info@draup.com .

About Draup :

Draup is an enterprise decision-making platform for global CXO leaders in sales and talent domains. Draup combines Artificial Intelligence with human curation to help organizations make data-driven strategic decisions. The platform is powered by machine- generated models, which are augmented by a team of analysts adding their learning-based insights to provide a 360-degree transactable view of their sales and talent ecosystem. We work on cutting edge technolgies and run highly complex algorithms on huge volumes of data. We also rely on open-sourcing which equips us with the right tools which allows us to find truly unique and innovate solutions to several problems.

Release files for draup-django 1.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for draup-django 1.4.0
File Size Uploaded
draup_django-1.4.0.tar.gz 5.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for draup-django 1.4.0
File Interpreter ABI Platform
draup_django-1.4.0-py3-none-any.whl Python 3 none any Details

Total release size: 13.5 kB

Release files / draup_django-1.4.0.tar.gz

Download URL draup_django-1.4.0.tar.gz
Size 5.9 kB
Tags Source
SHA-256 checksum
How to use checksums
49e74b157b8246b795844a6e0e53b36408e54431770bfa023588b081f8f05d9a
BLAKE2b-256 checksum
How to use checksums
2dc8252f832a9d53c7783b07782f5a44408ae93f4212c60927ffea8e67a668b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

Release files / draup_django-1.4.0-py3-none-any.whl

Download URL draup_django-1.4.0-py3-none-any.whl
Size 7.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1bb839fa0fee28f65f5df2b2350392f2afc0a0dc20257323f8cce1293a7555ef
BLAKE2b-256 checksum
How to use checksums
58bc638e07e0faa543d6f0a00f398a454b29d40b159434880cf6a59629653e15
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

Release history Release notifications | RSS feed

This release

1.4.0 This release

2 release files

1.3.3

2 release files

1.3.2

2 release files

1.3.1

2 release files

1.3.0

2 release files

1.2.0

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page