apache-airflow-client

v3.2.2 safe
3.0
Low Risk

Apache Airflow API (Stable)

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with only minor metadata issues noted. There are no significant risks detected across network, shell, obfuscation, or credential fronts.

  • No network or shell risks detected
  • Minor metadata issues but no signs of malicious intent
Per-check LLM notes
  • Network: None detected
  • Shell: None detected
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some minor issues but no clear signs of malicious intent.

📦 Package Quality Overall: Medium (6.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow/stable/stable
  • Detailed PyPI description (38186 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
  • 242 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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-client 
Create a small project that integrates with Apache Airflow using the 'apache-airflow-client' Python package to manage and monitor workflows. This project will allow users to interact with their Airflow instance to create, modify, trigger, and monitor workflows directly from a command-line interface (CLI). Here’s a step-by-step guide on how to build this mini-application:

1. **Setup**: Start by setting up a virtual environment and installing the necessary packages including 'apache-airflow-client'. Also, ensure you have access to an Apache Airflow instance.
2. **Authentication**: Implement a method for authenticating with the Airflow server. This could involve storing credentials securely or prompting the user to input them at runtime.
3. **Command Line Interface (CLI)**: Develop a CLI tool where users can perform actions like listing all available DAGs, triggering a specific DAG run, getting the status of a DAG run, and more.
4. **DAG Management**: Allow users to create, update, and delete DAGs through the CLI. Ensure that these operations are well-documented and include error handling.
5. **Monitoring**: Implement functionality to monitor the progress of DAG runs. This includes fetching logs, checking the state of tasks, and displaying the execution history of DAGs.
6. **Integration Testing**: Write integration tests to verify that your CLI interacts correctly with the Airflow API. Use mock data when necessary to avoid impacting real workflows.
7. **Documentation**: Provide comprehensive documentation for both developers and end-users, explaining how to install, configure, and use the CLI tool effectively.

Suggested Features:
- Support for different authentication methods (e.g., token-based, OAuth).
- Ability to schedule periodic checks for DAG states.
- Detailed logging and error reporting for better troubleshooting.
- Customizable output formats for CLI commands (e.g., JSON, plain text).

How 'apache-airflow-client' is Utilized:
- For making HTTP requests to the Airflow API endpoints.
- To parse and process the responses received from the Airflow server, ensuring they align with expected formats and structures.
- To handle errors and exceptions gracefully, providing meaningful feedback to the user.

💬 Discussion Feed

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