Skip to main content

ORM for Custom Objects de Zendesk

Project description

Mercury (ORM Zendesk CustomObjects)

Mercury is a Python ORM (Object-Relational Mapping) designed to integrate seamlessly with the Zendesk Custom Objects API. It provides a Django-like interface for defining, managing, and interacting with Zendesk custom objects and records, simplifying the communication with Zendesk's API.

Key Features

  • Custom Object Representation: Define Zendesk custom objects using Python classes.
  • Automatic Record Management: Built-in methods for creating, reading, updating, and deleting records via Zendesk's API.
  • Support for All Field Types: Compatible with all Zendesk custom field types including name, text, dropdown, checkbox, date, integer, and more.
  • Automatic Object Creation: Automatically create Zendesk custom objects and fields from Python class definitions.
  • Easy Record Operations: Simple API to manage custom object records, with built-in support for querying, filtering, and pagination.
  • Support field Name autoincrement and unique constraint: Supports automatic field name incrementation and enforcement of unique constraints.

Installation

pip install mercury-orm
# add variables in .env or:
export ZENDESK_SUBDOMAIN=<your_zendesk_subdomain>.
export ZENDESK_API_TOKEN=<your_zendesk_api_token>.
export ZENDESK_EMAIL=<your_zendesk_email>.

Field Types

Mercury supports various field types, allowing customization of your Zendesk custom objects:

  • TextField: For short text data (e.g., names, codes)
  • TextareaField: For longer text content (e.g., descriptions)
  • CheckboxField: Boolean fields for toggles or binary states
  • DateField: Date values represented as strings
  • IntegerField: Numeric values for counting or indexing
  • DecimalField: Precise decimal values for prices, percentages, etc.
  • DropdownField: Predefined selectable options
  • MultiselectField: Multiple selectable options
  • RegexpField: Regular expressions for pattern matching
  • LookupField: Establish relationships with other custom objects
  • NameField: Specialized text field with options for either uniqueness or auto-incrementation (cannot be used simultaneously)

CRUD Operations with Records

Mercury ORM provides simple methods for performing CRUD (Create, Read, Update, Delete) operations on Zendesk custom object records. Below are examples of how to manage records in your custom objects.

Creating a CustomObjects

class Product(CustomObject):
    #name = fields.NameField(unique=True)
    name = fields.NameField(autoincrement_enabled=True, autoincrement_prefix="PROD_", autoincrement_padding=5, autoincrement_next_sequence=10)
    code = fields.TextField("code")
    description = fields.TextareaField("description")
    price = fields.DecimalField("price")
    active = fields.CheckboxField("active")
    voltage = fields.DropdownField("voltage", choices=["220", "110", "Bivolt"])

Creating a Custom Object and Fields in Zendesk

Once you define the custom object class, you can create it in Zendesk using ZendeskObjectManager. This will automatically create the custom object and its fields in Zendesk.

from mercuryormc.zendesk_manager import ZendeskObjectManager

# Create the custom object and fields in Zendesk
manager = ZendeskObjectManager()
manager.create_custom_object_from_model(Product)
# or
manager.get_or_create_custom_object_from_model(Product)

Record Manager

Each custom object class is automatically assigned a RecordManager that handles interaction with the Zendesk API. The RecordManager allows you to:

  • Create records: Product.objects.create(**kwargs)
  • Get a single record: Product.objects.get(id=1)
  • Filter records: Product.objects.filter(active=True)
  • Delete records: Product.objects.delete(id=1)
  • Retrieve all records: Product.objects.all()
  • Search all records: Product.objects.search(word="something")
  • Find records: Product.objects.find(filters=filters)
  • Find records with pagination: Product.objects.find_paginated(filters=filters)

Creating a Record

You can create a new record by instantiating your custom object and calling the save() method:

product = Product(name="Sample Product", code="12345", price=99.99, active=True)
product.save()

#or
Product.objects.create(name="Sample Product", code="12345", price=99.99, active=True)

Retrieving a Record

You can retrieve an individual record by using the get() method:

retrieved_product = Product.objects.get(id=product.id)

Updating a Record

To update a record, modify its attributes and call the save() method again:

retrieved_product.price = 89.99
retrieved_product.save()

Deleting a Record

To delete a record from Zendesk, call the delete() method on the object:

retrieved_product.delete()

Querying and Filtering Records

You can retrieve all records or filter them based on certain criteria.

all_products = Product.objects.all()
filtered_products = Product.objects.filter(active=True)
last_object = Product.objects.last()
find_products = Products.objects.find(filters=filters)
find_products_paginated = Products.objects.find_paginated(filters=filters)

Find Method Explanation

The find method is based on Zendesk's filtering options for custom objects. It allows filtering records using logical operators and comparison operators.

Supported Logical Operators

  • $or
  • $and

Supported Comparison Operators

Custom Fields:

Custom objects have the following types of custom fields that you can filter on:

Field Type Supported Operators Meaning (in same order)
Checkbox $eq is
Date $eq, $noteq, $gt, $gte, $lt, $lte, $exists is, is not, after, after or on, before, before or on, present, in range
Decimal $eq, $noteq, $gt, $gte, $lt, $lte, $exists, $in, $notin is, is not, after, after or on, before, before or on, present, in, not in
Drop-down $eq, $noteq, $contains, $notcontains, $exists is, is not, contains, not contained, present
Integer $eq, $noteq, $gt, $gte, $lt, $lte, $exists, $in, $notin is, is not, after, after or on, before, before or on, present, in, not in
Lookup Relationship $eq, $noteq, $exists is, is not, present
Multi-line text $eq, $noteq, $contains, $notcontains, $exists is, is not, contains, not contained, present
Multi-select $eq, $noteq, $contains, $notcontains, $exists, $in, $notin is, is not, contains, not contained, present, in, not in
Text $eq, $noteq, $contains, $notcontains, $exists is, is not, contains, not contained, present

Standard Fields

Custom objects have the following standard fields that you can filter on:

Field Type Supported Operators Meaning (in same order)
created_at $gt after
created_by_user $eq is equal to a user ID
external_id $eq is equal to an external ID
name $contains contains
updated_at $gt after
updated_by_user $eq is equal to a user ID

Filter Examples

Single Comparison

filters = {
    {"custom_object_fields.price": {"$eq": "12"}}
}

In this case, records where the field named price is equal to 12 will be returned.

OR Comparison

filters = {
    "$or": [
        {"name": {"$contains": "value"}},
        {"updated_at": {"$gt": "2024-12-13"}}
    ]
}

In this case, records where the name contains value or updated_at is greater than 2024-12-13 will be returned

AND Comparison

filters = {
    "$and": [
        {"name": {"$contains": "value"}},
        {"updated_at": {"$gt": "2024-12-13"}}
    ]
}

In this case, records where the name contains value and updated_at is greater than 2024-12-13 will be returned.

Combined OR and AND Comparison

filters = {
    "$or": [
        {"name": {"$contains": "value"}},
        {"updated_at": {"$gt": "2024-12-13"}}
    ],
    "$and":[
        {"custom_object_fields.price": {"$eq": "12"}},
        {"custom_object_fields.origin": {"$eq": "BR"}}
    ]
}

In this case, records matching the OR conditions (name contains value or updated_at is greater than 2024-12-13) and the AND conditions (price equals 12 and origin equals BR) will be returned.

For more information, visit: Zendesk Documentation

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

mercury_orm-0.3.1.tar.gz (29.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mercury_orm-0.3.1-py3-none-any.whl (34.9 kB view details)

Uploaded Python 3

File details

Details for the file mercury_orm-0.3.1.tar.gz.

File metadata

  • Download URL: mercury_orm-0.3.1.tar.gz
  • Upload date:
  • Size: 29.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for mercury_orm-0.3.1.tar.gz
Algorithm Hash digest
SHA256 87efd20dc596946a71d121bd674373b559df4ac6231138cc4124488caf7fdfb1
MD5 055871271cf99d395b6d54f081713e8f
BLAKE2b-256 045b8df33094b0cf0fb2f1612ab3d8694901c05139e0443e692fd9ab984ac872

See more details on using hashes here.

File details

Details for the file mercury_orm-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: mercury_orm-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 34.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for mercury_orm-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0218ae5f35c41b6d3ec3ac11fb6e5381cb168ee4c93b1f2095562f7858bfee50
MD5 02c691042fe5ba5e7d5de04173113813
BLAKE2b-256 44713cfc839039e429b615f74ee9307c9bdee285cf5b0d0492ca19255843e568

See more details on using hashes here.

Supported by

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