Source Code - Django Rest Framework Serializers

User Serializers

These are the current User Serializers

class drf_network_pipeline.sz.user.UserSerializer(instance=None, data=<class 'rest_framework.fields.empty'>, **kwargs)

User Serializer

create(request, validated_data)

Parameters:validated_data – post dict

delete(request, pk)

Delete a User

Parameters:

• request – http request
• pk – User.id

get(request, pk)

Get user

Parameters:

• request – http request
• pk – User.id

lookup_user(user_id)

Parameters:user_id – user id

update(request, validated_data, pk=None)

Update User

Parameters:

• request – http request
• validated_data – dict of values
• pk – User.id

ML Serializers

These are the current ML Serializers

class drf_network_pipeline.sz.ml.MLPrepareSerializer(instance=None, data=<class 'rest_framework.fields.empty'>, **kwargs)

AntiNex Prepare Dataset Serializer

create(request, validated_data)

Start a new Prepare Job

Parameters:

• request – http request
• validated_data – post dictionary

delete(request, pk)

Delete an MLPrepare

Parameters:

• request – http request
• pk – MLPrepare.id

get(request, pk)

Get MLPrepare record

Parameters:

• request – http request
• pk – MLPrepare.id

update(request, validated_data, pk=None)

Update an MLPrepare

Parameters:

• request – http request
• validated_data – dict of values
• pk – MLPrepare.id

class drf_network_pipeline.sz.ml.MLJobsSerializer(instance=None, data=<class 'rest_framework.fields.empty'>, **kwargs)

AntiNex AI Job Serializer

create(request, validated_data)

Start a new MLJob

Parameters:

• request – http request
• validated_data – post dictionary

delete(request, pk)

Delete an MLJob

Parameters:

• request – http request
• pk – MLJob.id

get(request, pk)

Get MLJob or Get Recent ML Jobs for User (if pk=None)

Parameters:

• request – http request
• pk – MLJob.id

update(request, validated_data, pk=None)

Update an MLJob

Parameters:

• request – http request
• validated_data – dict of values
• pk – MLJob.id

class drf_network_pipeline.sz.ml.MLJobResultsSerializer(instance=None, data=<class 'rest_framework.fields.empty'>, **kwargs)

AntiNex AI Job Results Serializer

create(request, validated_data)

Create new MLJobResult

Parameters:

• request – http request
• validated_data – post dictionary

delete(request, pk)

Delete an MLJobResult

Parameters:

• request – http request
• pk – MLJobResult.id

get(request, pk)

Get MLResult record

Parameters:

• request – http request
• pk – MLJobResult.id

update(request, validated_data, pk=None)

Update an MLJobResult

Parameters:

• request – http request
• validated_data – dict of values
• pk – MLJobResult.id