data_exchange_tool 0.1.2

Tool for django models import

📦 Data Import for Django

This package provides a reusable Django library for managing data import processes with features such as:

• Data preview before final import.
• Row-level error validation.
• Background processing with Celery.
• Import restrictions based on job state.
• Support for multiple content types.
• Integration with S3 or any storage backend via django-storages.

---

🚀 Installation

pip install django-data-exchange-tool

Dependencies

• Django >= 3.0
• djangorestframework
• django-storages
• polars

---

🛠️ Usage

1️⃣ Django settings

This package supports uploading and storing import files on Amazon S3 using django-storages.
To enable this feature, define the following settings in your settings.py:

# Required: S3 bucket name used for storing import files
MODEL_DATA_EXCHANGE_S3_BUCKET_NAME = "my-import-bucket"

# Optional: Base path (prefix) within the bucket
# Example: If set to "imports", files will be stored in "imports/<subfolder>/<file>"
MODEL_DATA_EXCHANGE_S3_BASE_PATH = "imports"

# Optional: Specify other celery queues for Preview task and Import task. 
# Value `data_exchange_shared_queue` by default
DATA_EXCHANGE_PREVIEW_QUEUE = "preview_queue"
DATA_EXCHANGE_IMPORT_QUEUE = "import_queue"

2️⃣ Create an Import Job

All import operations are managed entirely via the Django Admin interface:

• Navigate to the Import Jobs section in Django Admin.
• Upload your data file (CSV, XLSX, etc.).
• Select the target content type you want to import.

---

3️⃣ Preview Data

• After saving, the system automatically generates a data preview.
• This allows you to check for validation errors before proceeding.

---

4️⃣ Confirm Import

• In the job detail view, click Confirm Import.
• The system ensures:
  • No other job of the same content type is currently in progress.
  • The current job state is allowed for confirmation.
  • There are no preview errors blocking the process.

---

🔌 Extending the Library

This package is designed to be extendable.
To create a custom importer for a specific model:

1️⃣ Create a proxy model

from data_exchange_tool.models import ImportJob
from oscar.core.loading import get_model
from myapp.serializers import ImportStockRecordSerializer

StockRecord = get_model("partner", "StockRecord")

class StockRecordImportJob(ImportJob):
    class Meta:
        proxy = True
        target_model = StockRecord
        serializer_class = (
            "cecotec_apps.data_exchange_tool.partner.serializers.ImportStockRecordSerializer"
        )

2️⃣ Create a custom admin

from data_exchange_tool.admin import GenericImporterModelAdmin

class StockRecordNewImporterAdmin(GenericImporterModelAdmin):
    ...

This allows you to:

• Define custom serializers for validating and transforming data.
• Use proxy models to target specific Django models.
• Leverage the built-in admin UI for job management.

---

📊 Import Job Flow Diagram

    ┌─────────┐        ┌───────────────────┐        ┌────────────────────┐          ┌──────────────────┐
    │ CREATED │ ─────▶ │ PREVIEW_SUCCEEDED │ ─────▶ │ IMPORT_IN_PROGRESS │ ─────▶   │ IMPORT_SUCCEEDED │        
    └─────────┘        └───────────────────┘        └────────────────────┘          └──────────────────┘     
         │                       │                                                            │
         ▼                       ▼                                                            ▼
 ┌────────────────┐     ┌────────────────┐                                          ┌──────────────────┐
 │ PREVIEW_FAILED │     │ PREVIEW_FAILED │                                          │   IMPORT_FAILED  │
 └────────────────┘     └────────────────┘                                          └──────────────────┘

---