azure-doc-processing 1.2.1

Utilities for Azure document processing

azure-doc-processing

azure-doc-processing is a Python library designed to simplify and standardize the use of common Azure services in document-processing workflows.
It reduces repeated boilerplate code across projects and provides a clean, consistent, DRY development experience.

The library offers convenient wrappers and utilities around Azure SDK components, focusing primarily on document processing.

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Features

Supported Azure Services

Service	Module
Azure Storage (Blob Storage)	azure_doc_processing.blob_storage
Azure Document Intelligence	azure_doc_processing.document_intelligence
Azure Key Vault	azure_doc_processing.keyvault
Azure OpenAI	azure_doc_processing.openai_service
Azure Storage (Table Storage)	azure_doc_processing.table_storage

Additional Functionality

Standardized Logger

from azure_doc_processing.logger import Logger

logger = Logger(__name__)

Document Utilities

Generic helper functions for document-processing tasks are available under:

import azure_doc_processing.utils as utils

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Installation

Once published to PyPI:

pip install azure-doc-processing

Or with Poetry:

poetry add azure-doc-processing

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Quick Example

Using key-based authentication:

from azure_doc_processing.blob_storage import AzureDataLake
from azure_doc_processing.logger import Logger

logger = Logger(__name__)

datalake = AzureDataLake(
    os.getenv("AZURE_STORAGE_ACCOUNT_NAME"),
    os.getenv("AZURE_STORAGE_ACCOUNT_KEY")
)

blob_files = datalake.list_blob_files(container="my-container",prefix="my-prefix/")
logger.info(f"Found {len(blob_files)} in container")

Using DefaultAzureCredential authentication:

from azure_doc_processing.blob_storage import AzureDataLake
from azure_doc_processing.logger import Logger

logger = Logger(__name__)

datalake = AzureDataLake(
    os.getenv("AZURE_STORAGE_ACCOUNT_NAME")
)

blob_files = datalake.list_blob_files(container="my-container",prefix="my-prefix/")
logger.info(f"Found {len(blob_files)} in container")

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Development

This repository uses:

• pyenv for Python version management\
• Poetry 1.8.5 for dependency & environment management\
• poethepoet for task automation\
• pytest for testing

Setup

Install all dependencies:

poetry install

Development Dependencies

Add development-only packages with:

poetry add <package> --group dev

Available Tasks

Using poethepoet:

Command Description

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poe test Run the full test suite poe format Format code (autoflake, black, isort)

Before committing changes, run:

poe format
poe test

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Publishing the Package

This project includes automated publishing scripts.

Prerequisites

Make sure you have:

• An API token for TestPyPI and/or PyPI

• A valid ~/.pypirc file, for example:

  [testpypi]
  username = __token__
  password = pypi-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
  
  [pypi]
  username = __token__
  password = pypi-yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy
  

Publish to TestPyPI (dry run)

Use this when testing new releases. This publishes the package under a temporary test name and performs an install + import smoke test.

poe publish-testpypi

Publish to PyPi (real release)

Use this when releasing an official version. Make sure you’ve bumped the version in pyproject.toml.

poe publish-pypi

Publishing will fail if the version already exists on PyPI. Real releases should use unique, semantic version increments.

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License

This project is licensed under the Apache License 2.0.
See the LICENSE and NOTICE files for details.

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Contributing

Contributions are welcome!
Please open an issue or submit a pull request via GitHub.

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Acknowledgements

Maintained by Verdel Digitaal Partner