apache-airflow-providers-discord

v3.12.3 safe
2.0
Low Risk

Provider package apache-airflow-providers-discord for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on low scores across all assessed risks, indicating normal functionality without signs of malicious activity.

  • Low network risk due to expected HTTP interactions
  • No evidence of shell execution, obfuscation, or credential harvesting
Per-check LLM notes
  • Network: The use of aiohttp.ClientSession suggests the package is making HTTP requests, likely to interact with Discord's API, which is expected behavior.
  • Shell: No shell execution patterns were detected, indicating no risk associated with shell command execution.
  • Obfuscation: The observed pattern is likely a standard method for extending module search paths and not indicative of malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: conftest.py
  • 10 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-dis
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3589 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 10 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 46 unique contributor(s) across 100 commits in apache/airflow
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ) async with aiohttp.ClientSession(proxy=self.proxy) as session: await super().run(
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # # Licensed to the Apache
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: airflow.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository apache/airflow appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apache-airflow-providers-discord 
Your task is to develop a mini-application that integrates with Discord using Apache Airflow. This application will serve as a monitoring tool for a specific set of tasks within your Airflow environment. It will notify a designated Discord channel whenever certain events occur, such as when a task starts, completes successfully, fails, or is skipped. Additionally, it will provide a summary of the day's activity at the end of each day. Here’s a breakdown of the steps and features you need to implement:

1. **Setup Environment**: Begin by setting up your development environment. Ensure Apache Airflow is installed and running. Install the 'apache-airflow-providers-discord' package, which allows you to integrate Airflow with Discord.

2. **Discord Bot Integration**: Create a bot on Discord and add it to a specific channel where notifications will be posted. Obtain the bot token and the webhook URL for sending messages to the channel.

3. **Task Monitoring DAG**: Develop a Directed Acyclic Graph (DAG) in Airflow that monitors other DAGs or specific tasks. This DAG should listen for task state changes like 'STARTED', 'SUCCESS', 'FAILED', and 'SKIPPED'.

4. **Notification System**: Implement a notification system that sends a message to the Discord channel whenever a monitored task reaches one of the states mentioned above. Each message should include relevant information such as the task ID, execution date, and the current state of the task.

5. **Daily Summary**: At the end of each day, compile a summary of all the task statuses that were notified throughout the day. Send this summary to the same Discord channel. The summary should be concise and informative, highlighting any failures or issues.

6. **Customization Options**: Allow users to customize which tasks they want to monitor and the level of detail they receive in their notifications. Users should also be able to choose whether to receive daily summaries.

7. **Error Handling**: Include robust error handling to ensure that even if there are issues with the Discord API or Airflow itself, the application continues to function as expected.

8. **Documentation and Testing**: Provide comprehensive documentation explaining how to use the application and how to set up the necessary configurations. Conduct thorough testing to ensure reliability and efficiency.

By following these steps, you will create a powerful tool that enhances visibility and control over your Airflow workflows through real-time updates and summaries on Discord.

💬 Discussion Feed

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