Skip to main content

BPMN reporting decorator for Azure Functions

Project description

BPMN Reporting Decorator

A Pythonic decorator to track function execution and report events (STARTED, COMPLETED, ERROR) in the background.

Features

  • Non-blocking: Uses asyncio.create_task to fire events while your code runs.
  • Async & Sync: Works with both async def and standard def functions.
  • Masking: Built-in support for Mustache-based payload transformation.
  • Error Tracking: Automatically reports exceptions before re-raising them.

Usage

1. Basic Setup

Wrap any function to track its lifecycle.

import asyncio
from bpmn_reporting import bpmn_element

@bpmn_element(id="User_Task_01", process_id="Order_Process")
async def my_business_logic(data):
    # Do work here
    return {"status": "processed"}


# Execute
if __name__ == "__main__":
    asyncio.run(my_business_logic({"id": 123}))

2. Masking & Transformations

Use mask_params to remove sensitive data or reformat payloads using Mustache templates or functions.

@bpmn_element(
    id="Process_Payment",
    mask_params={
        "password": None,  # Removes field from reporting
        "total": "{{amount}} {{ccy}}",  # Recomputes field using Mustache
        "user": lambda p: p['email']  # Recomputes using a function
    }
)
async def process_payment(payload):
    # original payload: {"password": "123", "amount": 10, "ccy": "EUR", "email": "mario@test.com"}
    return {"tx_id": "ABC-123"}

Configuration

Set the following environment variables in your local .env or Azure Function App settings:

Variable Required Description Default
REPORTING_SERVER true Base URL of the reporting API
REPORTING_PROCESS_ID Default Process ID if not set in decorator
REPORTING_PROCESS_VERSION Version of the process 1.0
REPORTING_PROCESS_DEBUG Set to true to see event logs false

Testing

python3 -m pytest tests/

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

process_reporting-1.1.5.tar.gz (10.9 kB view details)

Uploaded Source

Built Distribution

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

process_reporting-1.1.5-py2.py3-none-any.whl (9.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file process_reporting-1.1.5.tar.gz.

File metadata

  • Download URL: process_reporting-1.1.5.tar.gz
  • Upload date:
  • Size: 10.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for process_reporting-1.1.5.tar.gz
Algorithm Hash digest
SHA256 b256f773cf41f61d099a99bf0c2a65211e71a5d34f33ea32a6aa1c974ae9d21d
MD5 232d0d0ed837ba82d316541520fd1f29
BLAKE2b-256 f68ae72c74189b42d5b31da5ea37ddf71f1af83517bc3bfc03a6a575617a3443

See more details on using hashes here.

File details

Details for the file process_reporting-1.1.5-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for process_reporting-1.1.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e6fd41383f8dc913682670cd514fbaa5f78359c933fda84122f2e9e273910bb0
MD5 8f859bbd12e977ab0c1abf62850373b5
BLAKE2b-256 182635fc5f4cc97dfeda450296b7106088c5df8e45543738620ba2569e83a7e7

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