Skip to main content

Downloads PyPI version Dependency Status License GitHub last commit

behavex-images

An extension for the BehaveX library that enables attaching images to the generated HTML report.

Installation

pip install behavex-images

Features

  • Attach images to BehaveX HTML reports
  • Support for both binary image data and image files
  • Flexible attachment conditions (always, only on failure, or never)
  • Easy integration with existing BehaveX projects

Usage

The behavex-images library provides four main methods for managing image attachments in BehaveX HTML reports:

1. Attach Image from Binary Data

from behavex_images import image_attachments

image_attachments.attach_image_binary(context, image_binary)
  • context: The BehaveX context object
  • image_binary: Binary data of the image (JPG or PNG)

2. Attach Image from File

from behavex_images import image_attachments

image_attachments.attach_image_file(context, file_path)
  • context: The BehaveX context object
  • file_path: Absolute path to the image file (JPG or PNG)

3. Set Attachment Condition

from behavex_images import image_attachments
from behavex_images.image_attachments import AttachmentsCondition

image_attachments.set_attachments_condition(context, condition)
  • context: The BehaveX context object
  • condition: One of the following AttachmentsCondition values:
    • ALWAYS: Attach images to every report
    • ONLY_ON_FAILURE: Attach images only when a test fails (default)
    • NEVER: Do not attach any images

4. Clean All Attached Images

from behavex_images import image_attachments

image_attachments.clean_all_attached_images(context)
  • context: The BehaveX context object

Examples

Attaching an Image in a Step Definition

from behavex_images import image_attachments

@given('I take a screenshot of the current page')
def step_impl(context):
    image_attachments.attach_image_file(context, 'path/to/screenshot.png')

Using Hooks in environment.py

from behavex_images import image_attachments
from behavex_images.image_attachments import AttachmentsCondition

def before_all(context):
    image_attachments.set_attachments_condition(context, AttachmentsCondition.ONLY_ON_FAILURE)

def after_step(context, step):
    # Assuming you're using Selenium WebDriver
    image_attachments.attach_image_binary(context, context.driver.get_screenshot_as_png())

Sample Report Output

Test Execution Report

Test Execution Report with Images

Test Execution Report Details

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

Metadata

Release files for behavex-images 3.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for behavex-images 3.3.1
File Size Uploaded Provenance Actions
behavex_images-3.3.1.tar.gz 956.4 kB Without provenance Details for behavex_images-3.3.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for behavex-images 3.3.1
File Interpreter ABI Platform Actions
behavex_images-3.3.1-py3-none-any.whl Python 3 none any Details for behavex_images-3.3.1-py3-none-any.whl

Total release size: 1.9 MB

Release files / behavex_images-3.3.1.tar.gz

Download URL behavex_images-3.3.1.tar.gz
Size 956.4 kB
Tags Source
SHA-256 checksum
How to use checksums
bf296daf33c1591c24eed3970757581095f5ec6f37eec360d789154bd9b9c7fa
BLAKE2b-256 checksum
How to use checksums
12b125d51adda8f88cace299849803c47e6d55a7a29e9cff7979967ced56f0d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.13

Release files / behavex_images-3.3.1-py3-none-any.whl

Download URL behavex_images-3.3.1-py3-none-any.whl
Size 956.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ac8274ac67f956fd78a1b8af54306618e842bc19c26e19b4fe488b58a77f5aea
BLAKE2b-256 checksum
How to use checksums
5b91d5a49b11110e7d7d768ed381ac818f0e9ef8bd55591e17d0e616c167470b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.13

Security for behavex-images 3.3.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page